Lung CancerNCT05066776
Liquid Biopsy With PET/CT Versus PET/CT Alone in Diagnosis of Small Lung Nodules
An observational study of Lung Cancer and Solitary Pulmonary Nodule, run by Palo Alto Veterans Institute for Research at 1 site in United States.
Trial summary
The purpose of this study is to determine if a liquid biopsy, a method of detecting cancer from a blood draw, combined with a PET/CT scan, a type of radiological scan, is better at determining whether a lung nodule is cancerous when compared to a PET/CT scan alone. Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Lung Cancer, Solitary Pulmonary Nodule, Multiple Pulmonary Nodules
- How many people
- 31 participants
- Where
- 1 siteUnited States
- Study dates
- 23 Sep 2021to 1 Feb 2023
- 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 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Patients with lung nodules found via imaging will be selected from the VA Palo Alto Health Care System.
Who may be able to join
- Over 18 years of age
- ECOG performance status of 0,1, or 2
- Newly discovered lung nodule with:
- At least one solid lung nodule measuring 6 mm- 20 mm in greatest diameter detected on screening CT
- No single lesion larger than 20 mm in greatest diameter when multiple nodules present
- High- or intermediate-risk nodules per American College of Chest Physician (ACCP) guidelines
- Able to provide informed consent
Who cannot join
- Prior cancer of any type for the previous 3 years
- Prior organ, bone marrow, of hematopoietic stem cell transplant
- Contraindication to administration of [18F]FDG
- Inability to undergo a PET/CT scan
- Ongoing infection, either acute or subacute
- Severe COPD or lung disease requiring home oxygen use
- Pregnancy
Trial locations and contacts
1 site in 1 country.
United States1 site
VA Palo Alto Health Care System
Palo Alto, California, 94304
About this study
Official title: Liquid Biopsy in Combination With PET/CT Versus PET/CT Alone in Diagnosis of Small Lung Nodules
The purpose of this study is to determine if a liquid biopsy, a method of detecting cancer from a blood draw, combined with a PET/CT scan, a type of radiological scan, is better at determining whether a lung nodule is cancerous when compared to a PET/CT scan alone. A PET/CT scan is already used for diagnosis of lung nodules, but its efficacy is uncertain in nodules 6-20 mm in size. Therefore, the PET/CT will be evaluated for its diagnostic ability in lesions this size alone and in combination with a liquid biopsy. Secondarily, a machine learning model will be created to see if the combination of the PET/CT imaging data and the liquid biopsy data can predict the presence of cancer.
- Keywords
- PET-CT Scan, Liquid Biopsies
- Medical subject headings
- Lung Neoplasms, Solitary Pulmonary Nodule, Multiple Pulmonary Nodules
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
| Study group | Role | What they receive |
|---|---|---|
| Patients with Pulmonary Nodule | Patients at high-risk of lung cancer found to have a pulmonary nodule 6-20 mm in size. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Comparison of liquid biopsy with PET/CT to PET/CT alone for predicting lung cancer
Determine the sensitivity and specificity of liquid biopsy and PET/CT in combination compared with PET/CT alone for predicting lung cancer for lesions 6 mm- 20 mm in size
Measured: 24 months
Secondary outcomes (3)
ctDNA gene panel ability in detecting lung cancer
Determine the sensitivity and specificity of a ctDNA gene panel in detecting lung cancer for lesions 6 mm- 200 mm in size
Measured: 24 months
DNA methylation liquid biopsy ability in detecting lung cancer
Determine the sensitivity and specificity of DNA methylation liquid biopsy in detecting lung cancer for lesions 6 mm- 20 mm in size
Measured: 24 months
Validate ML classifier for predicting lung cancer
Validate a machine learning (ML) classifier for predicting lung cancer using imaging and clinical data.
Measured: 30 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted4 Oct 2021
- Study start23 Sep 2021
- Primary completion1 Feb 2023
- Study completion1 Feb 2023
Why it stopped: Withdrawal by sponsor
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (15)Papers the sponsor has linked to this study.
- Other trials for Lung CancerStudies 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
- Cohort
- Time perspective
- Prospective
- Enrolment
- 31 participants (actual)
Sponsor and investigators
- Lead sponsor
- Palo Alto Veterans Institute for Research
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Rajesh Shah, Palo Alto Veterans Institute for Research
- Investigators
- Rajesh Shah, MD, Principal investigator, VA Palo Alto Health Care System
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05066776
- Sponsor's protocol ID
- SHANEW_0001
- Status last verified
- Dec 2023
- First submitted
- 23 Sep 2021
- Last updated
- 8 Dec 2023
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020 Jan;70(1):7-30. doi: 10.3322/caac.21590. Epub 2020 Jan 8.
PubMed 31912902MacMahon H, Naidich DP, Goo JM, Lee KS, Leung ANC, Mayo JR, Mehta AC, Ohno Y, Powell CA, Prokop M, Rubin GD, Schaefer-Prokop CM, Travis WD, Van Schil PE, Bankier AA. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology. 2017 Jul;284(1):228-243. doi: 10.1148/radiol.2017161659. Epub 2017 Feb 23.
PubMed 28240562Kinsinger LS, Anderson C, Kim J, Larson M, Chan SH, King HA, Rice KL, Slatore CG, Tanner NT, Pittman K, Monte RJ, McNeil RB, Grubber JM, Kelley MJ, Provenzale D, Datta SK, Sperber NS, Barnes LK, Abbott DH, Sims KJ, Whitley RL, Wu RR, Jackson GL. Implementation of Lung Cancer Screening in the Veterans Health Administration. JAMA Intern Med. 2017 Mar 1;177(3):399-406. doi: 10.1001/jamainternmed.2016.9022.
PubMed 28135352National Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29.
PubMed 21714641Huo J, Xu Y, Sheu T, Volk RJ, Shih YT. Complication Rates and Downstream Medical Costs Associated With Invasive Diagnostic Procedures for Lung Abnormalities in the Community Setting. JAMA Intern Med. 2019 Mar 1;179(3):324-332. doi: 10.1001/jamainternmed.2018.6277.
PubMed 30640382National Comprehensive Cancer Network. NCCN Guidelines Lung Cancer Screening Version 1.2020.
Li S, Zhao B, Wang X, Yu J, Yan S, Lv C, Yang Y. Overestimated value of (18)F-FDG PET/CT to diagnose pulmonary nodules: Analysis of 298 patients. Clin Radiol. 2014 Aug;69(8):e352-7. doi: 10.1016/j.crad.2014.04.007. Epub 2014 May 27.
PubMed 24877581Cescon DW, Bratman SV, Chan SM, Siu LL. Circulating tumor DNA and liquid biopsy in oncology. Nat Cancer. 2020 Mar;1(3):276-290. doi: 10.1038/s43018-020-0043-5. Epub 2020 Mar 20.
PubMed 35122035Nair VS, Keu KV, Luttgen MS, Kolatkar A, Vasanawala M, Kuschner W, Bethel K, Iagaru AH, Hoh C, Shrager JB, Loo BW Jr, Bazhenova L, Nieva J, Gambhir SS, Kuhn P. An observational study of circulating tumor cells and (18)F-FDG PET uptake in patients with treatment-naive non-small cell lung cancer. PLoS One. 2013 Jul 5;8(7):e67733. doi: 10.1371/journal.pone.0067733. Print 2013.
PubMed 23861795Odahowski CL, Zahnd WE, Eberth JM. Challenges and Opportunities for Lung Cancer Screening in Rural America. J Am Coll Radiol. 2019 Apr;16(4 Pt B):590-595. doi: 10.1016/j.jacr.2019.01.001.
PubMed 30947892Spalluto LB, Lewis JA, LaBaze S, Sandler KL, Paulson AB, Callaway-Lane C, Grogan EL, Massion PP, Roumie CL. Association of a Lung Screening Program Coordinator With Adherence to Annual CT Lung Screening at a Large Academic Institution. J Am Coll Radiol. 2020 Feb;17(2):208-215. doi: 10.1016/j.jacr.2019.08.010. Epub 2019 Sep 6.
PubMed 31499025Triplette M, Thayer JH, Pipavath SN, Crothers K. Poor Uptake of Lung Cancer Screening: Opportunities for Improvement. J Am Coll Radiol. 2019 Apr;16(4 Pt A):446-450. doi: 10.1016/j.jacr.2018.12.018. Epub 2019 Feb 15.
PubMed 30777648Ruilong Z, Daohai X, Li G, Xiaohong W, Chunjie W, Lei T. Diagnostic value of 18F-FDG-PET/CT for the evaluation of solitary pulmonary nodules: a systematic review and meta-analysis. Nucl Med Commun. 2017 Jan;38(1):67-75. doi: 10.1097/MNM.0000000000000605.
PubMed 27741214Tang K, Wang L, Lin J, Zheng X, Wu Y. The value of 18F-FDG PET/CT in the diagnosis of different size of solitary pulmonary nodules. Medicine (Baltimore). 2019 Mar;98(11):e14813. doi: 10.1097/MD.0000000000014813.
PubMed 30882661Constancio V, Nunes SP, Henrique R, Jeronimo C. DNA Methylation-Based Testing in Liquid Biopsies as Detection and Prognostic Biomarkers for the Four Major Cancer Types. Cells. 2020 Mar 5;9(3):624. doi: 10.3390/cells9030624.
PubMed 32150897
Study at a glance
From the registry record, last updated by the sponsor on 8 Dec 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Liquid Biopsy in Combination With PET/CT Versus PET/CT Alone in Diagnosis of Small Lung Nodules
- ClinicalTrials.gov ID
- NCT05066776
- Acronym / sponsor ID
- SHANEW_0001
- Keywords
- PET-CT Scan, Liquid Biopsies
- Study type
- Observational
- Recruitment status
- TerminatedReason stopped: Withdrawal by sponsor
- Enrolment
- 31 participants (actual)
- Lead sponsor
- Palo Alto Veterans Institute for ResearchUniversity, hospital or other
- Study start
- 23 Sep 2021 (actual)
- Primary completion
- 1 Feb 2023 (actual)
- Study completion
- 1 Feb 2023 (actual)
- First posted
- 4 Oct 2021 (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 purpose of this study is to determine if a liquid biopsy, a method of detecting cancer from a blood draw, combined with a PET/CT scan, a type of radiological scan, is better at determining whether a lung nodule is cancerous when compared to a PET/CT scan alone. A PET/CT scan is already used for diagnosis of lung nodules, but its efficacy is uncertain in nodules 6-20 mm in size. Therefore, the PET/CT will be evaluated for its diagnostic ability in lesions this size alone and in combination with a liquid biopsy. Secondarily, a machine learning model will be created to see if the combination of the PET/CT imaging data and the liquid biopsy data can predict the presence of cancer.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| Patients with Pulmonary Nodule | – | –Patients at high-risk of lung cancer found to have a pulmonary nodule 6-20 mm in size. |
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Patients with lung nodules found via imaging will be selected from the VA Palo Alto Health Care System.
Key inclusion criteria (7 listed)
- Over 18 years of age
- ECOG performance status of 0,1, or 2
- Newly discovered lung nodule with:
- Able to provide informed consent
Key exclusion criteria (7 listed)
- Prior cancer of any type for the previous 3 years
- Prior organ, bone marrow, of hematopoietic stem cell transplant
- Contraindication to administration of [18F]FDG
- Inability to undergo a PET/CT scan
- Ongoing infection, either acute or subacute
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Comparison of liquid biopsy with PET/CT to PET/CT alone for predicting lung cancer
Time frame: 24 months
Determine the sensitivity and specificity of liquid biopsy and PET/CT in combination compared with PET/CT alone for predicting lung cancer for lesions 6 mm- 20 mm in size
3 secondary outcomes
ctDNA gene panel ability in detecting lung cancer
Time frame: 24 months
DNA methylation liquid biopsy ability in detecting lung cancer
Time frame: 24 months
Validate ML classifier for predicting lung cancer
Time frame: 30 months
Results and safety
The study was stopped early (reason given: Withdrawal by sponsor). Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 8 Dec 2023.
- Background: PubMed 31912902Siegel RL, Miller KD, Jemal A. Cancer statistics, 2020. CA Cancer J Clin. 2020 Jan;70(1):7-30. doi: 10.3322/caac.21590. Epub 2020 Jan 8.
- Background: PubMed 28240562MacMahon H, Naidich DP, Goo JM, Lee KS, Leung ANC, Mayo JR, Mehta AC, Ohno Y, Powell CA, Prokop M, Rubin GD, Schaefer-Prokop CM, Travis WD, Van Schil PE, Bankier AA. Guidelines for Management of Incidental Pulmonary Nodules Detected on CT Images: From the Fleischner Society 2017. Radiology. 2017 Jul;284(1):228-243. doi: 10.1148/radiol.2017161659. Epub 2017 Feb 23.
- Background: PubMed 28135352Kinsinger LS, Anderson C, Kim J, Larson M, Chan SH, King HA, Rice KL, Slatore CG, Tanner NT, Pittman K, Monte RJ, McNeil RB, Grubber JM, Kelley MJ, Provenzale D, Datta SK, Sperber NS, Barnes LK, Abbott DH, Sims KJ, Whitley RL, Wu RR, Jackson GL. Implementation of Lung Cancer Screening in the Veterans Health Administration. JAMA Intern Med. 2017 Mar 1;177(3):399-406. doi: 10.1001/jamainternmed.2016.9022.
- Background: PubMed 21714641National Lung Screening Trial Research Team; Aberle DR, Adams AM, Berg CD, Black WC, Clapp JD, Fagerstrom RM, Gareen IF, Gatsonis C, Marcus PM, Sicks JD. Reduced lung-cancer mortality with low-dose computed tomographic screening. N Engl J Med. 2011 Aug 4;365(5):395-409. doi: 10.1056/NEJMoa1102873. Epub 2011 Jun 29.
- Background: PubMed 30640382Huo J, Xu Y, Sheu T, Volk RJ, Shih YT. Complication Rates and Downstream Medical Costs Associated With Invasive Diagnostic Procedures for Lung Abnormalities in the Community Setting. JAMA Intern Med. 2019 Mar 1;179(3):324-332. doi: 10.1001/jamainternmed.2018.6277.
- BackgroundNational Comprehensive Cancer Network. NCCN Guidelines Lung Cancer Screening Version 1.2020.
- Background: PubMed 24877581Li S, Zhao B, Wang X, Yu J, Yan S, Lv C, Yang Y. Overestimated value of (18)F-FDG PET/CT to diagnose pulmonary nodules: Analysis of 298 patients. Clin Radiol. 2014 Aug;69(8):e352-7. doi: 10.1016/j.crad.2014.04.007. Epub 2014 May 27.
- Background: PubMed 35122035Cescon DW, Bratman SV, Chan SM, Siu LL. Circulating tumor DNA and liquid biopsy in oncology. Nat Cancer. 2020 Mar;1(3):276-290. doi: 10.1038/s43018-020-0043-5. Epub 2020 Mar 20.
- Background: PubMed 23861795Nair VS, Keu KV, Luttgen MS, Kolatkar A, Vasanawala M, Kuschner W, Bethel K, Iagaru AH, Hoh C, Shrager JB, Loo BW Jr, Bazhenova L, Nieva J, Gambhir SS, Kuhn P. An observational study of circulating tumor cells and (18)F-FDG PET uptake in patients with treatment-naive non-small cell lung cancer. PLoS One. 2013 Jul 5;8(7):e67733. doi: 10.1371/journal.pone.0067733. Print 2013.
- Background: PubMed 30947892Odahowski CL, Zahnd WE, Eberth JM. Challenges and Opportunities for Lung Cancer Screening in Rural America. J Am Coll Radiol. 2019 Apr;16(4 Pt B):590-595. doi: 10.1016/j.jacr.2019.01.001.
- Background: PubMed 31499025Spalluto LB, Lewis JA, LaBaze S, Sandler KL, Paulson AB, Callaway-Lane C, Grogan EL, Massion PP, Roumie CL. Association of a Lung Screening Program Coordinator With Adherence to Annual CT Lung Screening at a Large Academic Institution. J Am Coll Radiol. 2020 Feb;17(2):208-215. doi: 10.1016/j.jacr.2019.08.010. Epub 2019 Sep 6.
- Background: PubMed 30777648Triplette M, Thayer JH, Pipavath SN, Crothers K. Poor Uptake of Lung Cancer Screening: Opportunities for Improvement. J Am Coll Radiol. 2019 Apr;16(4 Pt A):446-450. doi: 10.1016/j.jacr.2018.12.018. Epub 2019 Feb 15.
- 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.
Rajesh Shah, MD principal investigator
VA Palo Alto Health Care System
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Lung Cancer and Solitary Pulmonary Nodule, run by Palo Alto Veterans Institute for Research at 1 site in United States.
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 7 inclusion and 7 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: stopped early, as of the sponsor's last update on 8 Dec 2023. 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 United States. 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?
The study was stopped early (reason given: Withdrawal by sponsor). Results are not available in the source record.
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?
Comparison of liquid biopsy with PET/CT to PET/CT alone for predicting lung cancer (time frame: 24 months). 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 NCT05066776, which also lists 15 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 8 Dec 2023.