Keratoconus, Artificial Intelligence, Support Vector MachineNCT04313387
Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy
An observational study of Keratoconus, Artificial Intelligence, Support Vector Machine, run by Gildasio Castello de Almeida Junior.
Trial summary
The objective of this study was to identify and build an algorithm through an imaging process using a support vector machine (SVM) with the tomography variables of cases with, KC, highly susceptible corneas to ectasia (HSCE), and healthy corneas and to compare this algorithm to BAD-D (Belin_Ambrosio Display) and PRFI… Read more about this study
- Who is it for?
- Any age
- Conditions the study is for
- Keratoconus, Artificial Intelligence, Support Vector Machine
- What is being tested?
- Corneal tomography multivariate index derived from a support vector machine (CTMVI).
- How many people
- 588 participants
- Where
- No sites listed yet
- Study dates
- 1 Jan 2012to 1 Jan 2018
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages Any age
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Study population: Population served at an ophthalmological center in a city with an area covered by an estimated population of one million inhabitants. Patients who sought the service for refractive surgery or for the evaluation and treatment of keratoconus.
Who may be able to join
- Patients were considered to be very asymmetric (VAE-NT) if the diagnosis of ectasia was confirmed in one eye based on the previously described criteria and the fellow eye had a normal front surface curvature (topometric) map. Objective criteria for considering normal topography was applied for defining the cases of VAE-NT, including objective front surface curvature metrics derived from Pentacam. Normal topography was rigorously considered based on objective criteria (27, 28) of a maximum curvature Kmax (Steepest Front Keratometry) <47.2 diopters, a paracentral inferior-superior (I-S value) asymmetry value at 6 mm (3-mm radii) < 1.45, and keratoconus percentage index (KISA%) score < 60 and (29). The cutoff point used to discriminate normal corneas and VAE-NT from KC corneas was the maximal posterior elevation (< 29 µm). This cutoff point had been determined in a previous study, using the same instrument and the same setting. The posterior elevation map was displayed with a 5-mm color-coded scale, and maximal posterior elevation was measured manually using the cursor in the central 5 mm.
Who cannot join
- The following exclusion criteria were adopted: history of ocular trauma; chronic use of eye medication, glaucoma; dry eye syndrome; corneal scarring; neurotrophic keratopathy; severe meibomian gland dysfunction; vulnerable state owing to physical or mental illness and with language-related difficulties; pregnant or breastfeeding.
About this study
The objective of this study was to identify and build an algorithm through an imaging process using a support vector machine (SVM) with the tomography variables of cases with, KC, highly susceptible corneas to ectasia (HSCE), and healthy corneas and to compare this algorithm to BAD-D (Belin_Ambrosio Display) and PRFI (Pentacam Random Forest Index). The study included 148 eyes with KC, 351 with healthy corneas, and 88 eyes with HSCE.
Read the detailed description
Patients were considered to be very asymmetric (VAE-NT) if the diagnosis of ectasia was confirmed in one eye based on the previously described criteria and the fellow eye had a normal front surface curvature (topometric) map. Objective criteria for considering normal topography was applied for defining the cases of VAE-NT, including objective front surface curvature metrics derived from Pentacam. Normal topography was rigorously considered based on objective criteria of a maximum curvature Kmax (Steepest Front Keratometry) <47.2 diopters, a paracentral inferior-superior (I-S value) asymmetry value at 6 mm (3-mm radii) < 1.45, and keratoconus percentage index (KISA%) score < 60. The cutoff point used to discriminate normal corneas and VAE-NT from KC corneas was the maximal posterior elevation (< 29 micron. This cutoff point had been determined in a previous study, using the same instrument and the same setting (30). The posterior elevation map was displayed with a 5-mm color-coded scale, and maximal posterior elevation was measured manually using the cursor in the central 5 mm.
The study included 148 eyes with KC, 351 with healthy corneas, and 88 eyes with suspected KC. The patients were divided into three groups:
- Control group - Normal eyes (CG): 351 eyes without KC of 351 patients who underwent LASIK or photorefractive keratectomy (PRK), stable after at least 18 months of follow-up, without any changes in the posterior elevation at the 18-month Pentacam in relation to the preoperative exam (surgeries performed in 2012-2018). The inclusion criteria for being a normal case was to have normal corneas on the general eye examination in both eyes, including normal slit lamp biomicroscopy, corrected distance visual acuity of 20/20 or better, overall subjective normal topography and tomography examinations.. Our objective topographic criteria were: both eyes with a KISA% index of less than 60%, Kmax of 47.2 D or less, and I-S difference of less than 1.45 D. Because no truly established tomographic parameter(s)/cut-off(s) for differentiating normal from keratoconus suspect eyes exist, we adapted our classification for normal eyes to the recent publication by Ambrósio et al.(31) by adding the criterion of "overall subjective normal topography and tomography examinations" based on the evaluation of experienced refractive surgeon (GCAJ). Only one eye was randomly selected for further statistical analysis. The CG included one eye randomly selected from 323 patients with normal cornea; one eye was randomly included per patient to avoid selection bias related to the use of both eyes from the same patient
- Very assimetric ectasia with normal topography group (VAE-NT G): 88 eyes of 88 patients with very asymmetric ectasia with normal topography (VAE-NT) in one eye and frank ectasia (VAE-E) in the fellow eye. The inclusion criteria followed previous studies (28, 32, 33) Eyes in this group with insufficient topographic findings to meet diagnostic criteria for keratoconus, and following features normal-appearing cornea on slit-lamp biomicroscopy, keratometry, retinoscopy. These cases were the less affected eye (fellow eye) of a keratoconic patient was included if the following criteria were met: KISA% index of less than 60%, I-S difference of less than 1.45 D, and Kmax of 47.2 D or less (ie, same topographic criteria as in normal eyes, except than in normal eyes, both eyes of the patient met the criteria). These patients can be considered with corneas highly susceptible to ectasia.
- Very asymmetric eyes with ectasia (VAE-E): The fellow eyes of the VAE-NT displaying a KISA% index of greater than 100% and at least one of the following biomicroscopic signs: Vogt striae, Fleischer ring, or focal stromal thinning. Oculus implemented their own staging system into the Pentacam software, which should mimic the Amsler/Krumeich systems: the Topographic Keratoconus Classification (TKC) (34). TKC classifies KC into four stages (plus four intermediate stages) and identifies other corneal pathologies, such as corneal refractive surgery or pellucid marginal degenerative (PMD). TKC classification of Pentacam tomographic index showing algum grau de KC variando de 1-4.
- Keratoconus group (KCG): 148 patients (one eye each) with bilateral clinical KC. The KCG included one eye randomly selected from 148 patients with keratoconus; one eye was randomly included per patient to avoid selection bias related to the use of both eyes from the same patient. The inclusion criteria were the same as for VAE-E, except that both eyes of the patient met the ectasia criteria.
All subjects underwent complete eye examination as well as refraction assessment, biomicroscopy, retinoscopy, fundoscopy, topography, and tomography assessment. All patients were assessed at the Visum Eye Center between January 2012 and January 2018.
This study adhered to the tenets of the Declaration of Helsinki and was approved by the Research Ethics Committee of the Sao Jose do Rio Preto Faculty of Medicine. All patients were informed about the objectives of the study, and they signed written informed consent forms before being enrolled.
External validation was conducted with 140 patients, whose data were not included in building the algorithm. They met the same inclusion criteria as the others, with a total of 82 eyes of 82 patients with healthy corneas, 19 eyes of 19 patients with VAE-NT, and 39 eyes of 39 patients with KC.
PENTACAM TOMOGRAPHY: All eyes were examined by rotating Scheimpflug corneal and anterior segment tomography (Pentacam HR; Oculus GmbH, Wetzlar, Germany). Image quality was checked so that only cases with acceptable-quality images were included in the study. An experienced fellowship-trained corneal specialist (GCAJ) reviewed all the cases so that they were correctly classified in the KC and VAE-NT groups. The raw data (u12 files) were obtained from all cases; therefore, the same customized software (version 1.20r118) was used to process all the export files, and all Scheimpflug variables were directly downloaded from the Pentacam software using the "call-all" function.
MATHEMATICAL ALGORITHM: To build the equation extracted from SVM, 58 variables were used, some of them were extracted from the spreadsheet.. After the construction of these 58 feature vectors (FV), an SVM-derived index was created, which was called the corneal tomography multivariate index derived from a support vector machine (CTMVI). Considering that each patient represents a point on a cartesian plane with 58 dimensions (each coordinate representing one of the 58 FV), the role of SVM is to find the hyperplane that best separates the CG, KCG, and VAE-NT G subjects. A hyperplane is algebraically described by a linear equation; in this case, there are 59 coefficients, 58 of which are related to the FV and one independent coefficient representing the bias (which is a possible parallel dislocation of a given hyperplane). The analyzed FV were:
ARC (3 mm Zone): Anterior radius of curvature in the 3.0 mm zone centered on the thinnest location of the cornea; ARTmax: Ambrosio relational thickness maximum; ARTmin: Ambrosio relational thickness minimum; BAD D: Belin/Ambrosio enhanced ectasia total deviation value ;BAD Daa: Deviation of the ART average; BAD Dam: Deviation of the ART max; BAD Db: Deviation of back elevation difference map; BAD De: Deviation from the posterior elevation at the thinnest considering BFS 8 mm; BAD Df: Deviation of front elevation difference map; BAD Df: Deviation of minimum thickness; BAD Dk: Deviation from Kmax; BAD Dp: Deviation of average pachymetric progression;BAD Dr: Deviation from the more negative value on the relative thickness map; BAD Dy: Deviation from the vertical displacement of the thinnest point from the apex; C.Vol D 3mm: corneal volume of 3 mm diameter area; C.Vol D 5mm: corneal volume of 5 mm diameter area; C.Vol D 7mm: corneal volume of 7 mm diameter area; C.Vol D 10mm: corneal volume of 10 mm diameter area; D2 mm / Pachy Min: The quotient of D2 mm / Pachy Min; D2 mm: Average corneal thickness of 2 mm circle centered on the thinnest location; D4 mm / Pachy Min: The quotient of D4 mm / Pachy Min; D4 mm: Average corneal thickness of 4 mm circle centered on the thinnest location; D6 mm / Pachy Min: The quotient of D6mm / Pachy Min; D6 mm: Average corneal thickness of 6 mm circle centered on the thinnest location; D8 mm / Pachy Min: The quotient of D8 mm / Pachy Min; D8 mm: Average corneal thickness of 8 mm circle centered on the thinnest location; Ele B BFS 8 mm Max. 4 mm Zone: Elevation parameter derived from the back surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit sphere; Ele B BFS 8mm Apex: Elevation parameter derived from the back surface centered at the apex calculated using the 8 mm best-fit sphere; Ele B BFS 8mm Thinnest: Elevation parameter derived from the back surface centered at the thinnest point using the 8 mm best-fit sphere; Ele B BFTE 8 mm Max. 4 mm Zone: Elevation parameter derived from the back surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit toric ellipsoid; Ele B BFTE 8mm Apex: Elevation parameter derived from the back surface centered at the apex calculated using the 8 mm best-fit toric ellipsoid; Ele B BFTE 8mm Thinnest: Elevation parameter derived from the back surface centered at the thinnest point using the 8 mm best-fit toric ellipsoid; Ele F BFS 8 mm Max. 4 mm Zone: Elevation parameter derived from the front surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit sphere; Ele F BFS 8mm Apex: Elevation parameter derived from the front surface centered at the apex calculated using the 8 mm best-fit sphere; Ele F BFS 8mm Thinnest: Elevation parameter derived from the front surface centered at the thinnest point using the 8 mm best-fit sphere; Ele F BFTE 8 mm Max. 4 mm Zone: Elevation parameter derived from the front surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit toric ellipsoid; Ele F BFTE 8mm Apex: Elevation parameter derived from the front surface centered at the apex calculated using the 8 mm best-fit toric ellipsoid; Ele F BFTE 8mm Thinnest: Elevation parameter derived from the front surface centered at the thinnest point using the 8 mm best-fit toric ellipsoid; IHA: Index highest asymmetry; IHD: Index highest decentration; ISV: Index of surface variance; IVA: Index of vertical asymmetry; KI: Keratoconus index; Pachy Min: Corneal thickness at the thinnest point; Pachy Min Y: Position of minimum corneal thickness in relation of Y axis centered on cornea apex; PRC (3mm Zone): Posterior radius of curvature in the 3.0 mm zone centered on the thinnest location of the cornea; Rel Pachy Min: Relative corneal thickness at the thinnest point; RMS HOA (CB): root mean square of high order aberration of cornea back; RMS HOA (CF): root mean square of high order aberration of cornea front; RMS HOA (Cornea): root mean square of high order aberration of total cornea; RPIavg: Average pachymetric progression index; RPImax: Maximum pachymetric progression index; RPImin: Minimum pachymetric progression index; Z 3 -1 (CB): 3rd order vertical coma aberration cornea back; Z 3 -1 (CF): 3rd order vertical coma aberration of cornea front; Z 3 -1 (Cornea): 3rd order vertical coma aberration total cornea; Z 5 -1 (CB): 5th order vertical coma aberration of cornea back; Z 5 -1 (CF): 5th order vertical coma aberration of cornea front. All Zernike measurements were made for a corneal diameter of 6 mm.
- Being tested
- Corneal tomography multivariate index derived from a support vector machine (CTMVI).
- Keywords
- keratoconus, ectasia, support vector machine, artificial intelligence
- Medical subject headings
- Keratoconus, Dilatation, Pathologic
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
Corneal tomography multivariate index derived from a support vector machine (CTMVI).Diagnostic test
MATHEMATICAL ALGORITHM: To build the equation extracted from SVM, 58 variables were used, some of them were extracted from the spreadsheet.. After the construction of these 58 feature vectors (FV), an SVM-derived index was created, which was called the corneal tomography multivariate index derived from a support vector machine (CTMVI). Considering that each patient represents a point on a cartesian plane with 58 dimensions (each coordinate representing one of the 58 FV), the role of SVM is to find the hyperplane that best separates the CG, KCG, and VAE-NT G subjects. A hyperplane is algebraically described by a linear equation; in this case, there are 59 coefficients, 58 of which are related to the FV and one independent coefficient representing the bias (which is a possible parallel dislocation of a given hyperplane).
| Study group | Role | What they receive |
|---|---|---|
| Control group - Normal eyes (CG) | • Control group - Normal eyes (CG): 351 eyes without KC of 351 patients who underwent LASIK or photorefractive keratectomy (PRK), stable after at least 18 months of follow-up, without any changes in the posterior elevation at the 18-month Pentacam in relation to the preoperative exam (surgeries performed in 2012-2018). Our objective topographic criteria were: both eyes with a KISA% index of less than 60%, Kmax of 47.2 D or less, and I-S difference of less than 1.45 D. Because no truly established tomographic parameter(s)/cut-off(s) for differentiating normal from keratoconus suspect eyes exist, we adapted our classification for normal eyes to the recent publication by Ambrósio et al. by adding the criterion of "overall subjective normal topography and tomography examinations" based on the evaluation of experienced refractive surgeon (GCAJ). Only one eye was randomly selected for further statistical analysis. Receives: Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI). | |
| Very assimetric ectasia with normal topography | • Very assimetric ectasia with normal topography group (VAE-NT G): 88 eyes of 88 patients with very asymmetric ectasia with normal topography (VAE-NT) in one eye and frank ectasia (VAE-E) in the fellow eye. The inclusion criteria followed previous studies (28, 32, 33) Eyes in this group with insufficient topographic findings to meet diagnostic criteria for keratoconus, and following features normal-appearing cornea on slit-lamp biomicroscopy, keratometry, retinoscopy. These cases were the less affected eye (fellow eye) of a keratoconic patient was included if the following criteria were met: KISA% index of less than 60%, I-S difference of less than 1.45 D, and Kmax of 47.2 D or less (ie, same topographic criteria as in normal eyes, except than in normal eyes, both eyes of the patient met the criteria). These patients can be considered with corneas highly susceptible to ectasia. Receives: Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI). | |
| Keratoconus group (KCG) | • Keratoconus group (KCG): 148 patients (one eye each) with bilateral clinical KC. The KCG included one eye randomly selected from 148 patients with keratoconus; one eye was randomly included per patient to avoid selection bias related to the use of both eyes from the same patient. The inclusion criteria were the same as for VAE-E, except that both eyes of the patient met the ectasia criteria. Receives: Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI). |
What is being measured
The primary outcome is the main question the study is designed to answer.
CTMVI designed to screen patients prior to refractive surgery
ROC curves of CTMVI comparing with BAD D, and PRFI
Measured: january 2012 until january 2018
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted18 Mar 2020
- Study start1 Jan 2012
- Primary completion1 Jan 2018
- Study completion1 Jan 2018
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (12)Papers the sponsor has linked to this study.
- Other trials for Keratoconus, Artificial Intelligence, Support Vector MachineStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Case-control
- Time perspective
- Retrospective
- Enrolment
- 588 participants (actual)
Sponsor and investigators
- Lead sponsor
- Gildasio Castello de Almeida Junior
- Sponsor type
- University, hospital or other
- Collaborators
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Responsible party
- Sponsor-investigator, Gildasio Castello de Almeida Junior, Sao Jose do Rio Preto Medical School
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04313387
- Sponsor's protocol ID
- 37232214.1.0000.5415
- Status last verified
- Mar 2020
- First submitted
- 15 Mar 2020
- Last updated
- 18 Mar 2020
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Motlagh MN, Moshirfar M, Murri MS, Skanchy DF, Momeni-Moghaddam H, Ronquillo YC, Hoopes PC. Pentacam(R) Corneal Tomography for Screening of Refractive Surgery Candidates: A Review of the Literature, Part I. Med Hypothesis Discov Innov Ophthalmol. 2019 Fall;8(3):177-203.
PubMed 31598520Luz A, Lopes B, Hallahan KM, Valbon B, Ramos I, Faria-Correia F, Schor P, Dupps WJ Jr, Ambrosio R Jr. Enhanced Combined Tomography and Biomechanics Data for Distinguishing Forme Fruste Keratoconus. J Refract Surg. 2016 Jul 1;32(7):479-94. doi: 10.3928/1081597X-20160502-02.
PubMed 27400080Yoo TK, Ryu IH, Lee G, Kim Y, Kim JK, Lee IS, Kim JS, Rim TH. Adopting machine learning to automatically identify candidate patients for corneal refractive surgery. NPJ Digit Med. 2019 Jun 20;2:59. doi: 10.1038/s41746-019-0135-8. eCollection 2019.
PubMed 31304405Lopes BT, Ramos IC, Salomao MQ, Guerra FP, Schallhorn SC, Schallhorn JM, Vinciguerra R, Vinciguerra P, Price FW Jr, Price MO, Reinstein DZ, Archer TJ, Belin MW, Machado AP, Ambrosio R Jr. Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence. Am J Ophthalmol. 2018 Nov;195:223-232. doi: 10.1016/j.ajo.2018.08.005. Epub 2018 Aug 9.
PubMed 30098348Smadja D, Touboul D, Cohen A, Doveh E, Santhiago MR, Mello GR, Krueger RR, Colin J. Detection of subclinical keratoconus using an automated decision tree classification. Am J Ophthalmol. 2013 Aug;156(2):237-246.e1. doi: 10.1016/j.ajo.2013.03.034. Epub 2013 Jun 7.
PubMed 23746611Steinberg J, Siebert M, Katz T, Frings A, Mehlan J, Druchkiv V, Buhren J, Linke SJ. Tomographic and Biomechanical Scheimpflug Imaging for Keratoconus Characterization: A Validation of Current Indices. J Refract Surg. 2018 Dec 1;34(12):840-847. doi: 10.3928/1081597X-20181012-01.
PubMed 30540367Awad EA, Abou Samra WA, Torky MA, El-Kannishy AM. Objective and subjective diagnostic parameters in the fellow eye of unilateral keratoconus. BMC Ophthalmol. 2017 Oct 6;17(1):186. doi: 10.1186/s12886-017-0584-2.
PubMed 28985735Ferreira-Mendes J, Lopes BT, Faria-Correia F, Salomao MQ, Rodrigues-Barros S, Ambrosio R Jr. Enhanced Ectasia Detection Using Corneal Tomography and Biomechanics. Am J Ophthalmol. 2019 Jan;197:7-16. doi: 10.1016/j.ajo.2018.08.054. Epub 2018 Sep 8.
PubMed 30201341Hashemi H, Beiranvand A, Yekta A, Maleki A, Yazdani N, Khabazkhoob M. Pentacam top indices for diagnosing subclinical and definite keratoconus. J Curr Ophthalmol. 2016 Mar 29;28(1):21-6. doi: 10.1016/j.joco.2016.01.009. eCollection 2016 Mar.
PubMed 27239598Ruiz Hidalgo I, Rodriguez P, Rozema JJ, Ni Dhubhghaill S, Zakaria N, Tassignon MJ, Koppen C. Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography. Cornea. 2016 Jun;35(6):827-32. doi: 10.1097/ICO.0000000000000834.
PubMed 27055215Arbelaez MC, Versaci F, Vestri G, Barboni P, Savini G. Use of a support vector machine for keratoconus and subclinical keratoconus detection by topographic and tomographic data. Ophthalmology. 2012 Nov;119(11):2231-8. doi: 10.1016/j.ophtha.2012.06.005. Epub 2012 Aug 11.
PubMed 22892148Bae GH, Kim JR, Kim CH, Lim DH, Chung ES, Chung TY. Corneal topographic and tomographic analysis of fellow eyes in unilateral keratoconus patients using Pentacam. Am J Ophthalmol. 2014 Jan;157(1):103-109.e1. doi: 10.1016/j.ajo.2013.08.014. Epub 2013 Oct 25.
PubMed 24452012
Study at a glance
From the registry record, last updated by the sponsor on 18 Mar 2020. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Efficiency of an Algorithm Derived From Corneal Tomography Parameters to Distinguish Highly Susceptible Corneas to Ectasia From Healthy
- ClinicalTrials.gov ID
- NCT04313387
- Acronym / sponsor ID
- 37232214.1.0000.5415
- Keywords
- keratoconus, ectasia, support vector machine, artificial intelligence
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 588 participants (actual)
- Lead sponsor
- Gildasio Castello de Almeida JuniorUniversity, hospital or other
- Collaborators
- Fundação de Amparo à Pesquisa do Estado de São Paulo
- Study start
- 1 Jan 2012 (actual)
- Primary completion
- 1 Jan 2018 (actual)
- Study completion
- 1 Jan 2018 (actual)
- First posted
- 18 Mar 2020 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The objective of this study was to identify and build an algorithm through an imaging process using a support vector machine (SVM) with the tomography variables of cases with, KC, highly susceptible corneas to ectasia (HSCE), and healthy corneas and to compare this algorithm to BAD-D (Belin_Ambrosio Display) and PRFI (Pentacam Random Forest Index). The study included 148 eyes with KC, 351 with healthy corneas, and 88 eyes with HSCE.
Detailed description
Patients were considered to be very asymmetric (VAE-NT) if the diagnosis of ectasia was confirmed in one eye based on the previously described criteria and the fellow eye had a normal front surface curvature (topometric) map. Objective criteria for considering normal topography was applied for defining the cases of VAE-NT, including objective front surface curvature metrics derived from Pentacam. Normal topography was rigorously considered based on objective criteria of a maximum curvature Kmax (Steepest Front Keratometry) <47.2 diopters, a paracentral inferior-superior (I-S value) asymmetry value at 6 mm (3-mm radii) < 1.45, and keratoconus percentage index (KISA%) score < 60. The cutoff point used to discriminate normal corneas and VAE-NT from KC corneas was the maximal posterior elevation (< 29 micron. This cutoff point had been determined in a previous study, using the same instrument and the same setting (30). The posterior elevation map was displayed with a 5-mm color-coded scale, and maximal posterior elevation was measured manually using the cursor in the central 5 mm.
The study included 148 eyes with KC, 351 with healthy corneas, and 88 eyes with suspected KC. The patients were divided into three groups:
- Control group - Normal eyes (CG): 351 eyes without KC of 351 patients who underwent LASIK or photorefractive keratectomy (PRK), stable after at least 18 months of follow-up, without any changes in the posterior elevation at the 18-month Pentacam in relation to the preoperative exam (surgeries performed in 2012-2018). The inclusion criteria for being a normal case was to have normal corneas on the general eye examination in both eyes, including normal slit lamp biomicroscopy, corrected distance visual acuity of 20/20 or better, overall subjective normal topography and tomography examinations.. Our objective topographic criteria were: both eyes with a KISA% index of less than 60%, Kmax of 47.2 D or less, and I-S difference of less than 1.45 D. Because no truly established tomographic parameter(s)/cut-off(s) for differentiating normal from keratoconus suspect eyes exist, we adapted our classification for normal eyes to the recent publication by Ambrósio et al.(31) by adding the criterion of "overall subjective normal topography and tomography examinations" based on the evaluation of experienced refractive surgeon (GCAJ). Only one eye was randomly selected for further statistical analysis. The CG included one eye randomly selected from 323 patients with normal cornea; one eye was randomly included per patient to avoid selection bias related to the use of both eyes from the same patient
- Very assimetric ectasia with normal topography group (VAE-NT G): 88 eyes of 88 patients with very asymmetric ectasia with normal topography (VAE-NT) in one eye and frank ectasia (VAE-E) in the fellow eye. The inclusion criteria followed previous studies (28, 32, 33) Eyes in this group with insufficient topographic findings to meet diagnostic criteria for keratoconus, and following features normal-appearing cornea on slit-lamp biomicroscopy, keratometry, retinoscopy. These cases were the less affected eye (fellow eye) of a keratoconic patient was included if the following criteria were met: KISA% index of less than 60%, I-S difference of less than 1.45 D, and Kmax of 47.2 D or less (ie, same topographic criteria as in normal eyes, except than in normal eyes, both eyes of the patient met the criteria). These patients can be considered with corneas highly susceptible to ectasia.
- Very asymmetric eyes with ectasia (VAE-E): The fellow eyes of the VAE-NT displaying a KISA% index of greater than 100% and at least one of the following biomicroscopic signs: Vogt striae, Fleischer ring, or focal stromal thinning. Oculus implemented their own staging system into the Pentacam software, which should mimic the Amsler/Krumeich systems: the Topographic Keratoconus Classification (TKC) (34). TKC classifies KC into four stages (plus four intermediate stages) and identifies other corneal pathologies, such as corneal refractive surgery or pellucid marginal degenerative (PMD). TKC classification of Pentacam tomographic index showing algum grau de KC variando de 1-4.
- Keratoconus group (KCG): 148 patients (one eye each) with bilateral clinical KC. The KCG included one eye randomly selected from 148 patients with keratoconus; one eye was randomly included per patient to avoid selection bias related to the use of both eyes from the same patient. The inclusion criteria were the same as for VAE-E, except that both eyes of the patient met the ectasia criteria.
All subjects underwent complete eye examination as well as refraction assessment, biomicroscopy, retinoscopy, fundoscopy, topography, and tomography assessment. All patients were assessed at the Visum Eye Center between January 2012 and January 2018.
This study adhered to the tenets of the Declaration of Helsinki and was approved by the Research Ethics Committee of the Sao Jose do Rio Preto Faculty of Medicine. All patients were informed about the objectives of the study, and they signed written informed consent forms before being enrolled.
External validation was conducted with 140 patients, whose data were not included in building the algorithm. They met the same inclusion criteria as the others, with a total of 82 eyes of 82 patients with healthy corneas, 19 eyes of 19 patients with VAE-NT, and 39 eyes of 39 patients with KC.
PENTACAM TOMOGRAPHY: All eyes were examined by rotating Scheimpflug corneal and anterior segment tomography (Pentacam HR; Oculus GmbH, Wetzlar, Germany). Image quality was checked so that only cases with acceptable-quality images were included in the study. An experienced fellowship-trained corneal specialist (GCAJ) reviewed all the cases so that they were correctly classified in the KC and VAE-NT groups. The raw data (u12 files) were obtained from all cases; therefore, the same customized software (version 1.20r118) was used to process all the export files, and all Scheimpflug variables were directly downloaded from the Pentacam software using the "call-all" function.
MATHEMATICAL ALGORITHM: To build the equation extracted from SVM, 58 variables were used, some of them were extracted from the spreadsheet.. After the construction of these 58 feature vectors (FV), an SVM-derived index was created, which was called the corneal tomography multivariate index derived from a support vector machine (CTMVI). Considering that each patient represents a point on a cartesian plane with 58 dimensions (each coordinate representing one of the 58 FV), the role of SVM is to find the hyperplane that best separates the CG, KCG, and VAE-NT G subjects. A hyperplane is algebraically described by a linear equation; in this case, there are 59 coefficients, 58 of which are related to the FV and one independent coefficient representing the bias (which is a possible parallel dislocation of a given hyperplane). The analyzed FV were:
ARC (3 mm Zone): Anterior radius of curvature in the 3.0 mm zone centered on the thinnest location of the cornea; ARTmax: Ambrosio relational thickness maximum; ARTmin: Ambrosio relational thickness minimum; BAD D: Belin/Ambrosio enhanced ectasia total deviation value ;BAD Daa: Deviation of the ART average; BAD Dam: Deviation of the ART max; BAD Db: Deviation of back elevation difference map; BAD De: Deviation from the posterior elevation at the thinnest considering BFS 8 mm; BAD Df: Deviation of front elevation difference map; BAD Df: Deviation of minimum thickness; BAD Dk: Deviation from Kmax; BAD Dp: Deviation of average pachymetric progression;BAD Dr: Deviation from the more negative value on the relative thickness map; BAD Dy: Deviation from the vertical displacement of the thinnest point from the apex; C.Vol D 3mm: corneal volume of 3 mm diameter area; C.Vol D 5mm: corneal volume of 5 mm diameter area; C.Vol D 7mm: corneal volume of 7 mm diameter area; C.Vol D 10mm: corneal volume of 10 mm diameter area; D2 mm / Pachy Min: The quotient of D2 mm / Pachy Min; D2 mm: Average corneal thickness of 2 mm circle centered on the thinnest location; D4 mm / Pachy Min: The quotient of D4 mm / Pachy Min; D4 mm: Average corneal thickness of 4 mm circle centered on the thinnest location; D6 mm / Pachy Min: The quotient of D6mm / Pachy Min; D6 mm: Average corneal thickness of 6 mm circle centered on the thinnest location; D8 mm / Pachy Min: The quotient of D8 mm / Pachy Min; D8 mm: Average corneal thickness of 8 mm circle centered on the thinnest location; Ele B BFS 8 mm Max. 4 mm Zone: Elevation parameter derived from the back surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit sphere; Ele B BFS 8mm Apex: Elevation parameter derived from the back surface centered at the apex calculated using the 8 mm best-fit sphere; Ele B BFS 8mm Thinnest: Elevation parameter derived from the back surface centered at the thinnest point using the 8 mm best-fit sphere; Ele B BFTE 8 mm Max. 4 mm Zone: Elevation parameter derived from the back surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit toric ellipsoid; Ele B BFTE 8mm Apex: Elevation parameter derived from the back surface centered at the apex calculated using the 8 mm best-fit toric ellipsoid; Ele B BFTE 8mm Thinnest: Elevation parameter derived from the back surface centered at the thinnest point using the 8 mm best-fit toric ellipsoid; Ele F BFS 8 mm Max. 4 mm Zone: Elevation parameter derived from the front surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit sphere; Ele F BFS 8mm Apex: Elevation parameter derived from the front surface centered at the apex calculated using the 8 mm best-fit sphere; Ele F BFS 8mm Thinnest: Elevation parameter derived from the front surface centered at the thinnest point using the 8 mm best-fit sphere; Ele F BFTE 8 mm Max. 4 mm Zone: Elevation parameter derived from the front surface centered at the point with highest value within the 4 mm (diameter) using the 8 mm best-fit toric ellipsoid; Ele F BFTE 8mm Apex: Elevation parameter derived from the front surface centered at the apex calculated using the 8 mm best-fit toric ellipsoid; Ele F BFTE 8mm Thinnest: Elevation parameter derived from the front surface centered at the thinnest point using the 8 mm best-fit toric ellipsoid; IHA: Index highest asymmetry; IHD: Index highest decentration; ISV: Index of surface variance; IVA: Index of vertical asymmetry; KI: Keratoconus index; Pachy Min: Corneal thickness at the thinnest point; Pachy Min Y: Position of minimum corneal thickness in relation of Y axis centered on cornea apex; PRC (3mm Zone): Posterior radius of curvature in the 3.0 mm zone centered on the thinnest location of the cornea; Rel Pachy Min: Relative corneal thickness at the thinnest point; RMS HOA (CB): root mean square of high order aberration of cornea back; RMS HOA (CF): root mean square of high order aberration of cornea front; RMS HOA (Cornea): root mean square of high order aberration of total cornea; RPIavg: Average pachymetric progression index; RPImax: Maximum pachymetric progression index; RPImin: Minimum pachymetric progression index; Z 3 -1 (CB): 3rd order vertical coma aberration cornea back; Z 3 -1 (CF): 3rd order vertical coma aberration of cornea front; Z 3 -1 (Cornea): 3rd order vertical coma aberration total cornea; Z 5 -1 (CB): 5th order vertical coma aberration of cornea back; Z 5 -1 (CF): 5th order vertical coma aberration of cornea front. All Zernike measurements were made for a corneal diameter of 6 mm.
Study design
- Observational model
- Case-control
- Time perspective
- Retrospective
- Number of arms
- 3
| Arm | Type | Receives |
|---|---|---|
| Control group - Normal eyes (CG) | – | Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI).• Control group - Normal eyes (CG): 351 eyes without KC of 351 patients who underwent LASIK or photorefractive keratectomy (PRK), stable after at least 18 months of follow-up, without any changes in the posterior elevation at the 18-month Pentacam in relation to the preoperative exam (surgeries performed in 2012-2018). Our objective topographic criteria were: both eyes with a KISA% index of less than 60%, Kmax of 47.2 D or less, and I-S difference of less than 1.45 D. Because no truly established tomographic parameter(s)/cut-off(s) for differentiating normal from keratoconus suspect eyes exist, we adapted our classification for normal eyes to the recent publication by Ambrósio et al. by adding the criterion of "overall subjective normal topography and tomography examinations" based on the evaluation of experienced refractive surgeon (GCAJ). Only one eye was randomly selected for further statistical analysis. |
| Very assimetric ectasia with normal topography | – | Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI).• Very assimetric ectasia with normal topography group (VAE-NT G): 88 eyes of 88 patients with very asymmetric ectasia with normal topography (VAE-NT) in one eye and frank ectasia (VAE-E) in the fellow eye. The inclusion criteria followed previous studies (28, 32, 33) Eyes in this group with insufficient topographic findings to meet diagnostic criteria for keratoconus, and following features normal-appearing cornea on slit-lamp biomicroscopy, keratometry, retinoscopy. These cases were the less affected eye (fellow eye) of a keratoconic patient was included if the following criteria were met: KISA% index of less than 60%, I-S difference of less than 1.45 D, and Kmax of 47.2 D or less (ie, same topographic criteria as in normal eyes, except than in normal eyes, both eyes of the patient met the criteria). These patients can be considered with corneas highly susceptible to ectasia. |
| Keratoconus group (KCG) | – | Diagnostic Test: Corneal tomography multivariate index derived from a support vector machine (CTMVI).• Keratoconus group (KCG): 148 patients (one eye each) with bilateral clinical KC. The KCG included one eye randomly selected from 148 patients with keratoconus; one eye was randomly included per patient to avoid selection bias related to the use of both eyes from the same patient. The inclusion criteria were the same as for VAE-E, except that both eyes of the patient met the ectasia criteria. |
Who may qualify
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
- Study population
- Population served at an ophthalmological center in a city with an area covered by an estimated population of one million inhabitants. Patients who sought the service for refractive surgery or for the evaluation and treatment of keratoconus.
Key inclusion criteria (1 listed)
- Patients were considered to be very asymmetric (VAE-NT) if the diagnosis of ectasia was confirmed in one eye based on the previously described criteria and the fellow eye had a normal front surface curvature (topometric) map. Objective criteria for considering normal topography was applied for defining the cases of VAE-NT, including objective front surface curvature metrics derived from Pentacam. Normal topography was rigorously considered based on objective criteria (27, 28) of a maximum curvature Kmax (Steepest Front Keratometry) <47.2 diopters, a paracentral inferior-superior (I-S value) asymmetry value at 6 mm (3-mm radii) < 1.45, and keratoconus percentage index (KISA%) score < 60 and (29). The cutoff point used to discriminate normal corneas and VAE-NT from KC corneas was the maximal posterior elevation (< 29 µm). This cutoff point had been determined in a previous study, using the same instrument and the same setting. The posterior elevation map was displayed with a 5-mm color-coded scale, and maximal posterior elevation was measured manually using the cursor in the central 5 mm.
Key exclusion criteria (1 listed)
- The following exclusion criteria were adopted: history of ocular trauma; chronic use of eye medication, glaucoma; dry eye syndrome; corneal scarring; neurotrophic keratopathy; severe meibomian gland dysfunction; vulnerable state owing to physical or mental illness and with language-related difficulties; pregnant or breastfeeding.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| Corneal tomography multivariate index derived from a support vector machine (CTMVI).MATHEMATICAL ALGORITHM: To build the equation extracted from SVM, 58 variables were used, some of them were extracted from the spreadsheet.. After the construction of these 58 feature vectors (FV), an SVM-derived index was created, which was called the corneal tomography multivariate index derived from a support vector machine (CTMVI). Considering that each patient represents a point on a cartesian plane with 58 dimensions (each coordinate representing one of the 58 FV), the role of SVM is to find the hyperplane that best separates the CG, KCG, and VAE-NT G subjects. A hyperplane is algebraically described by a linear equation; in this case, there are 59 coefficients, 58 of which are related to the FV and one independent coefficient representing the bias (which is a possible parallel dislocation of a given hyperplane). | Diagnostic test | Control group - Normal eyes (CG), Keratoconus group (KCG), Very assimetric ectasia with normal topography |
Primary outcome
CTMVI designed to screen patients prior to refractive surgery
Time frame: january 2012 until january 2018
ROC curves of CTMVI comparing with BAD D, and PRFI
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 18 Mar 2020.
- Results publication: PubMed 31598520Motlagh MN, Moshirfar M, Murri MS, Skanchy DF, Momeni-Moghaddam H, Ronquillo YC, Hoopes PC. Pentacam(R) Corneal Tomography for Screening of Refractive Surgery Candidates: A Review of the Literature, Part I. Med Hypothesis Discov Innov Ophthalmol. 2019 Fall;8(3):177-203.
- Results publication: PubMed 27400080Luz A, Lopes B, Hallahan KM, Valbon B, Ramos I, Faria-Correia F, Schor P, Dupps WJ Jr, Ambrosio R Jr. Enhanced Combined Tomography and Biomechanics Data for Distinguishing Forme Fruste Keratoconus. J Refract Surg. 2016 Jul 1;32(7):479-94. doi: 10.3928/1081597X-20160502-02.
- Results publication: PubMed 31304405Yoo TK, Ryu IH, Lee G, Kim Y, Kim JK, Lee IS, Kim JS, Rim TH. Adopting machine learning to automatically identify candidate patients for corneal refractive surgery. NPJ Digit Med. 2019 Jun 20;2:59. doi: 10.1038/s41746-019-0135-8. eCollection 2019.
- Results publication: PubMed 30098348Lopes BT, Ramos IC, Salomao MQ, Guerra FP, Schallhorn SC, Schallhorn JM, Vinciguerra R, Vinciguerra P, Price FW Jr, Price MO, Reinstein DZ, Archer TJ, Belin MW, Machado AP, Ambrosio R Jr. Enhanced Tomographic Assessment to Detect Corneal Ectasia Based on Artificial Intelligence. Am J Ophthalmol. 2018 Nov;195:223-232. doi: 10.1016/j.ajo.2018.08.005. Epub 2018 Aug 9.
- Results publication: PubMed 23746611Smadja D, Touboul D, Cohen A, Doveh E, Santhiago MR, Mello GR, Krueger RR, Colin J. Detection of subclinical keratoconus using an automated decision tree classification. Am J Ophthalmol. 2013 Aug;156(2):237-246.e1. doi: 10.1016/j.ajo.2013.03.034. Epub 2013 Jun 7.
- Results publication: PubMed 30540367Steinberg J, Siebert M, Katz T, Frings A, Mehlan J, Druchkiv V, Buhren J, Linke SJ. Tomographic and Biomechanical Scheimpflug Imaging for Keratoconus Characterization: A Validation of Current Indices. J Refract Surg. 2018 Dec 1;34(12):840-847. doi: 10.3928/1081597X-20181012-01.
- Results publication: PubMed 28985735Awad EA, Abou Samra WA, Torky MA, El-Kannishy AM. Objective and subjective diagnostic parameters in the fellow eye of unilateral keratoconus. BMC Ophthalmol. 2017 Oct 6;17(1):186. doi: 10.1186/s12886-017-0584-2.
- Results publication: PubMed 30201341Ferreira-Mendes J, Lopes BT, Faria-Correia F, Salomao MQ, Rodrigues-Barros S, Ambrosio R Jr. Enhanced Ectasia Detection Using Corneal Tomography and Biomechanics. Am J Ophthalmol. 2019 Jan;197:7-16. doi: 10.1016/j.ajo.2018.08.054. Epub 2018 Sep 8.
- Results publication: PubMed 27239598Hashemi H, Beiranvand A, Yekta A, Maleki A, Yazdani N, Khabazkhoob M. Pentacam top indices for diagnosing subclinical and definite keratoconus. J Curr Ophthalmol. 2016 Mar 29;28(1):21-6. doi: 10.1016/j.joco.2016.01.009. eCollection 2016 Mar.
- Results publication: PubMed 27055215Ruiz Hidalgo I, Rodriguez P, Rozema JJ, Ni Dhubhghaill S, Zakaria N, Tassignon MJ, Koppen C. Evaluation of a Machine-Learning Classifier for Keratoconus Detection Based on Scheimpflug Tomography. Cornea. 2016 Jun;35(6):827-32. doi: 10.1097/ICO.0000000000000834.
- Results publication: PubMed 22892148Arbelaez MC, Versaci F, Vestri G, Barboni P, Savini G. Use of a support vector machine for keratoconus and subclinical keratoconus detection by topographic and tomographic data. Ophthalmology. 2012 Nov;119(11):2231-8. doi: 10.1016/j.ophtha.2012.06.005. Epub 2012 Aug 11.
- Results publication: PubMed 24452012Bae GH, Kim JR, Kim CH, Lim DH, Chung ES, Chung TY. Corneal topographic and tomographic analysis of fellow eyes in unilateral keratoconus patients using Pentacam. Am J Ophthalmol. 2014 Jan;157(1):103-109.e1. doi: 10.1016/j.ajo.2013.08.014. Epub 2013 Oct 25.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
The record lists no contact. Use the official record to reach the sponsor.
Questions about this trial
What is this clinical trial studying?
An observational study of Keratoconus, Artificial Intelligence, Support Vector Machine, run by Gildasio Castello de Almeida Junior.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 18 Mar 2020. Status can change between updates, so confirm with the study contact before making plans.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
CTMVI designed to screen patients prior to refractive surgery (time frame: january 2012 until january 2018). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04313387, which also lists 12 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 18 Mar 2020.