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Hip Dysplasia, DevelopmentalNCT06765525

Efficacy Study of DeepDDH System in Screening Infants with Developmental Dysplasia of the Hip (DDH)

A study testing Junior sonographer measurement of DDH, Senior sonographer measurement of DDH and Automated annotation of the DDH measurement through deep learning in people with Hip Dysplasia, Developmental, run by RenJi Hospital at 1 site in China.

Not yet recruiting

Opening soon. The study is approved but enrolment has not started yet. Sites may already take enquiries.

Sites and contacts
Official record
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Trial summary

To ascertain the efficacy of the DeepDDH system, a deep learning framework, in enhancing diagnostic accuracy and curtailing follow-up intervals for infants undergoing screening for developmental dysplasia of the hip (DDH), the researchers are executing a blinded, randomized controlled trial. Read more about this study

Who is it for?
Ages 28 days to 6 months
Conditions the study is for
Hip Dysplasia, Developmental
What is being tested?
Junior sonographer measurement of DDH, Senior sonographer measurement of DDH and Automated annotation of the DDH measurement through deep learning
Could I receive a placebo?
No, everyone receives an active treatment
How many people
1,976 participants
Where
1 siteChina
Study dates
15 Jan 2025to 30 Apr 2025
Phase
Interventional
Are there results?
Not yet: the study is under way

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 28 days to 6 months
  • All sexes
  • No healthy volunteers
  • Child

Who may be able to join

  • Infants aged 28 days to 6 months who underwent DDH ultrasound examination in Renji Hospital, Shanghai Jiaotong University School of Medicine and the Sixth People's Hospital, Shanghai Jiaotong University School of Medicine between August 2014 and December 2021

Who cannot join

  • Patients lacking or incomplete ultrasound images;
  • Patients with poor image quality and unusable images after assessment, including non-compliance with Anatomical identification (Checklist I consists of seven anatomical structures: 1. Chondro-osseous border, 2. Femoral head, 3. Synovial fold, 4. Joint capsule and perichondrium, 5. Labrum, 6. Cartilagineous roof, 7. Bony roof) and Usability check (Checklist II includes three anatomical landmarks: 1. Lower limb of the os ilium, 2. Parallel middle plane, and 3. Labrum);
  • Infants with hip dysplasia caused by other diseases such as cerebral palsy, joint contracture, suppurative coxitis, etc., or with other hip diseases and limb deformities.

Trial locations and contacts

1 site in 1 country. Contact the study team or a site near you to ask about taking part.

Lixin Jiang, PhD contact

+86 18930173496

jinger_28@sina.com

Mengyao Liu, PhD contact

+86 17521618149

mengyao_liu08@163.com

China1 site
  • Ren Ji Hospital, Shanghai Jiao Tong University School of Medicine

    Shanghai, Shanghai Municipality, 200127

    Hui Cao, +86 021-6838-3364, rjllb3364@163.com

Other trials in China

About this study

Official title: Blinded Randomized Control Trail of Artificial Intelligence-Assisted Ultrasound Screening for Neonatal Hip Dysplasia in a Clinical Cohort

To ascertain the efficacy of the DeepDDH system, a deep learning framework, in enhancing diagnostic accuracy and curtailing follow-up intervals for infants undergoing screening for developmental dysplasia of the hip (DDH), the researchers are executing a blinded, randomized controlled trial. This trial juxtaposes AI-only and AI-assisted assessments of DDH against sonographer interpretations across various proficiency levels in the preliminary analysis of ultrasound images.

Read the detailed description
  1. Participating centers and doctors: The data in the ultrasound screening sequence database in this part of the study were mainly from Renji Hospital, Shanghai Jiao Tong University School of Medicine and the Sixth People's Hospital, Shanghai Jiao Tong University School of Medicine. Renji Hospital, the Sixth People's Hospita, and the Pediatric Hospital Affiliated to Fudan University, three top-three hospitals in Shanghai, started Graf ultrasound examination earlier, with an average history of more than 10 years. Each unit can perform Graf ultrasound examination maturely, and has good quality control and management. The technology is relatively mature, and they are responsible for providing 6 expert sonographers with more than 5-10 years of DDH ultrasound diagnosis experience, more than 600 DDH ultrasound operations, and 1 pediatric orthopedic expert with 5-10 years of DDH diagnosis experience to participate in the study. However, several other primary or remote medical institutions with late DDH ultrasound screening and insufficient diagnostic experience were mainly responsible for providing 8 primary sonographers (trained residents who performed 20 DDH ultrasound operations) to participate in the study. The other 4 primary sonographers who participated in the study were provided by the Sixth People's Hospital and the Pediatric Hospital Affiliated to Fudan University, so a total of 12 primary sonographers participated in the study. Before the study, the sonographers involved in this study will be evaluated uniformly and quantitatively through online examination papers.
  2. Research process:

One week before the start of the randomized diagnostic trial study, which prospectively reevaluated the retrospective data set of the ultrasound screening sequence database, the sonographers registered in the study received uniform training in the latest DDH ultrasound diagnosis in the form of PPT, video, literature study, and offline instruction.

For the included cases in the ultrasound screening sequence database, they would appear in different control groups in a random form, such as the AI model, the Expert sonographer group (composed of 6 ultrasound experts), the primary sonographer group (composed of 6 primary sonographers), and the primary sonographer (composed of 6 primary sonographers) + AI-assisted group. All the image data in the ultrasound screening sequence database were independently divided into measurement points and measurement lines by each group, and the final diagnosis of α Angle, β Angle and classification results were given by the system.

The random occurrence of cases in the ultrasound screening sequence database has certain rules: (1) According to the date of ultrasound examination, the 2152 ultrasound screenings were divided into 848 days. (2) Block randomization was applied to the 848-day study, using a computer-generated sequence of random numbers, with randomization performed in blocks of four or eight. That is, the cases examined for the first time in each day were divided into one group (AI group, advanced ultrasound expert group, primary sonographer group, AI-assisted primary sonographer group), and the cases for follow-up examination were divided according to the first examination group. Randomization was repeated within each group according to block randomization of 6 or 12 block sizes.

When non-first subsequent follow-up cases were randomly presented, the results of the previous examination were included as a reference. In the AI-assisted group, each sonographer was asked to choose whether to modify or confirm the diagnosis according to the measurement points, diagnostic angles and typing results provided by the AI device. However, in the advanced ultrasound expert group, junior sonographer unassisted group, the dedicated research assistant will turn off the AI display function to ensure that no additional information is provided to the sonographer. The consensus of two ultrasound experts with 10 years of experience in DDH ultrasound diagnosis was used as the gold standard. In case of disagreement, a third pediatric expert with 5-10 years of experience in DDH diagnosis and treatment was used to evaluate the diagnosis and treatment of DDH. The final consensus was used as the gold standard.

Finally, the operation results of the above different groups were summarized and analyzed by independent research assistants, including α Angle, β Angle, typing results, and the specific follow-up experience of the case (including follow-up times and follow-up time).

Being tested
Junior sonographer measurement of DDH, Senior sonographer measurement of DDH, Automated annotation of the DDH measurement through deep learning, AI-assisted junior sonographer meaturement of DDH
Medical subject headings
Developmental Dysplasia of the Hip

What participants receive

What participants receive. In a randomised study each person is assigned to one group by chance.

  • Junior sonographer measurement of DDHOther

    Also called Junior Sonographer Annotation

    Participants will not receive visual cues from the DeepDDH system. Junior sonographer technicians will offer preliminary interpretations before these are subjected to validation and subsequent review by expert's team.

  • Senior sonographer measurement of DDHOther

    Also called Senior Sonographer Annotation

    Participants will not receive visual cues from the DeepDDH system.

  • Automated annotation of the DDH measurement through deep learningOther

    Also called DeepDDH system Annotation

    Through randomization, a subset of the preliminary interpretations will be conducted by AI technology, and the study team will evaluate the degree of divergence between these AI-generated preliminary interpretations and the final interpretations.

  • AI-assisted junior sonographer meaturement of DDHOther

    Also called DeepDDH-assist Junior Sonographer Annotation

    Participants will receive visual cues from the DeepDDH system.

Study groups in NCT06765525
Study groupRoleWhat they receive
Junior Sonographer AnnotationActive comparatorParticipants will not receive visual cues from the DeepDDH system. Junior sonographer technicians will offer preliminary interpretations before these are subjected to validation and subsequent review by expert's team.
Receives: Other: Junior sonographer measurement of DDH
Senior Sonographer AnnotationActive comparatorParticipants will not receive visual cues from the DeepDDH system.
Receives: Other: Senior sonographer measurement of DDH
DeepDDH system AnnotationExperimentalThrough randomization, a subset of the preliminary interpretations will be conducted by AI technology, and the study team will evaluate the degree of divergence between these AI-generated preliminary interpretations and the final interpretations.
Receives: Other: Automated annotation of the DDH measurement through deep learning
DeepDDH-assist Junior Sonographer AnnotationExperimentalParticipants will receive visual cues from the DeepDDH system.
Receives: Other: AI-assisted junior sonographer meaturement of DDH

What is being measured

The primary outcome is the main question the study is designed to answer.

  1. Average diagnostic accuracy

    It is calculated by dividing the number of preliminary interpretations that are consistent with the expert team's grading by the total number of cases that should be diagnosed.

    Measured: 30 Minutes

Secondary outcomes (3)
  1. Average diagnostic sensitivity

    It is calculated by dividing the number of true positive cases by the sum of true positive cases and false negative cases.

    Measured: 30 Minutes

  2. Average diagnostic specificity

    It is calculated by dividing the number of true negative cases by the sum of true negative cases and false positive cases.

    Measured: 30 Minutes

  3. Average times of follow-up visits

    The average number of follow-up visits for each group is obtained by dividing the total number of follow-up visits for each participating infant within the group by the number of participating infants in that group. The specific calculation of follow-up visits is as follows: For each participating infant, if a false positive diagnosis is made and there are no more subsequent follow-up examination results, the number of follow-up visits is increased by 1; if a false negative diagnosis leads to the end of the follow-up process for the participating infant, then no further follow-up visits are counted.

    Measured: 30 Minutes

Timeline

From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.

  1. First posted9 Jan 2025
  2. Study start15 Jan 2025 (estimated)
  3. Primary completion30 Mar 2025 (estimated)
  4. Study completion30 Apr 2025 (estimated)

Resources

More details

For doctors and researchers: how the study is designed, who runs it, and its registry IDs.

Study design
Study type
Interventional
Phase
Phase N/A
Primary purpose
Diagnosis
Allocation
Randomised
Intervention model
Parallel groups
Masking
Double blind
Who is masked
Investigator, Outcomes assessor
Enrolment
1,976 participants (estimated)
IDs, dates and publications
ClinicalTrials.gov ID
NCT06765525
Sponsor's protocol ID
KY2021-286-B
Status last verified
Jan 2025
First submitted
3 Jan 2025
Last updated
9 Jan 2025
Results posted
No
Data monitoring committee
Yes
FDA-regulated drug
No
FDA-regulated device
No
Individual data sharing
Yes: The clinical demographic information of the subjects was recorded through the Case Record Form, and the data was collected and managed electronically through the ResMan platform.

Questions about this trial

What is this clinical trial studying?

A study testing Junior sonographer measurement of DDH, Senior sonographer measurement of DDH and Automated annotation of the DDH measurement through deep learning in people with Hip Dysplasia, Developmental, run by RenJi Hospital at 1 site in China.

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 3 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: opening soon, as of the sponsor's last update on 9 Jan 2025. Status can change between updates, so confirm with the study contact before making plans.

Where is the study taking place?

The record lists 1 site in China. Whether a site is taking part right now should be confirmed with that site. See every site.

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?

This study is still under way. Results are not available in the source record yet.

How can a doctor refer a patient or contact the research team?

Contact Lixin Jiang, PhD (+86 18930173496, jinger_28@sina.com), or a site near the patient. AzTrials does not enrol participants or take referrals.

What does the primary outcome measure?

Average diagnostic accuracy (time frame: 30 Minutes). It is what the study was designed to measure, not a finding.

Where can I read the original study information?
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 9 Jan 2025.

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