- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05968898
Assessment of a Radiomics-based Computer-Aided Diagnosis Tool for Pulmonary nodulES (ARCADES)
March 8, 2024 updated by: Roger Y. Kim, Abramson Cancer Center at Penn Medicine
Assessment of a Radiomics-based Computer-Aided Diagnosis Tool for Cancer Risk Stratification of Pulmonary Nodules
This is a pragmatic clinical trial that will study the effect of a radiomics-based computer-aided diagnosis (CAD) tool on clinicians' management of pulmonary nodules (PNs) compared to usual care.
Adults aged 35-89 years with 8-30mm PNs evaluated at Penn Medicine PN clinics will undergo 1:1 randomization to one of two groups, defined by the PN malignancy risk stratification strategy used by evaluating clinicians: 1) usual care or 2) usual care + use of a radiomics-based CAD tool.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Detailed Description
Accurate malignancy risk stratification of pulmonary nodules (PNs) is critical to ensuring that cancer is diagnosed in a timely manner and patients do not undergo unnecessary diagnostic procedures.
Preliminary data suggests that a radiomics-based lung cancer prediction (LCP) computer-aided diagnosis (CAD) tool is effective in risk stratifying PNs and may improve clinicians' PN management decisions.
This is a pragmatic clinical trial evaluating the effect of this CAD tool on clinicians' management of PNs compared to usual care.
Individuals eligible for this study will include adults aged 35-89 years who are scheduled to be evaluated at a Penn Medicine PN clinic for a newly discovered PN 8-30mm in maximal diameter on CT imaging.
Exclusion criteria include lack of CT imaging data at the time of index clinic visit, thoracic lymphadenopathy by CT size criteria, presence of pulmonary masses (>3cm in maximal diameter), PNs with popcorn calcification (consistent with benign etiology), subsolid PNs, and a known history of active cancer.
Enrolled participants will undergo 1:1 stratified randomization to one of two groups, defined by the PN malignancy risk stratification strategy used by evaluating clinicians: 1) usual care (clinician assessment) or 2) clinician assessment + CAD-based risk stratification using the LCP-CAD tool.
The control arm will be usual care, defined as routine clinician assessment of PN malignancy risk.
In the experimental arm, clinicians will be provided a report with the CAD tool estimate of malignancy risk for the PN being evaluated.
Study Type
Interventional
Enrollment (Estimated)
300
Phase
- Not Applicable
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Roger Y. Kim, MD, MSCE
- Phone Number: 215-662-3677
- Email: roger.kim@pennmedicine.upenn.edu
Study Contact Backup
- Name: Anil Vachani, MD, MSCE
- Phone Number: 215-573-7931
- Email: avachani@pennmedicine.upenn.edu
Study Locations
-
-
Pennsylvania
-
Philadelphia, Pennsylvania, United States, 19104
- Recruiting
- Perelman Center for Advanced Medicine
-
Contact:
- Roger Kim, MD, MSCE
-
Philadelphia, Pennsylvania, United States, 19104
- Recruiting
- Penn Medicine University City
-
Contact:
- Roger Kim, MD, MSCE
-
Philadelphia, Pennsylvania, United States, 19107
- Recruiting
- Penn Medicine Washington Square
-
Contact:
- Roger Kim, MD, MSCE
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
No
Description
Inclusion Criteria:
- Male or female, aged 35-89 years
- Scheduled to be evaluated at a pulmonary nodule clinic
- Newly discovered solid or part-solid indeterminate PN 8-30mm in maximal diameter on CT imaging within 60 days of index clinic visit
- Chest CT imaging compatible with Optellum Virtual Nodule Clinic software
Exclusion Criteria:
- Chest CT imaging with discrete mediastinal or hilar lymphadenopathy by CT size criteria (>10mm in maximal short-axis diameter on axial CT images)
- PNs with popcorn calcification (consistent with benign etiology)
- Pure ground-glass subsolid PNs (may be associated with lower risk of clinically significant malignancy)
- PN previously seen on CT imaging >60 days prior to most recent CT
- More than one indeterminate PN 8-30 mm in maximal diameter
- History of lung cancer
- History of active cancer within the previous 5 years
- Low-dose CT chest imaging
- Presence of a thoracic implant that impedes PN visualization
Study Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
- Primary Purpose: Diagnostic
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: None (Open Label)
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
---|---|
No Intervention: Usual care (clinician assessment)
In the usual care arm, clinicians will evaluate individuals with indeterminate pulmonary nodules as part of routine clinical care.
No specific guidance regarding pulmonary nodule risk stratification will provided to evaluating clinicians.
|
|
Experimental: Clinician assessment + CAD-based risk stratification
In the experimental arm, evaluating clinicians will receive a Lung Cancer Prediction report from an artificial intelligence radiomics-based computer-aided diagnosis tool for risk stratification of pulmonary nodules.
|
The Optellum Virtual Nodule Clinic is an FDA-approved (Class II) device for risk stratification of pulmonary nodules.
It uses a convolutional neural network to evaluate CT imaging data to provide an estimate of malignancy risk for indeterminate pulmonary nodules.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Appropriate management of pulmonary nodule
Time Frame: 12 months
|
The composite proportion of benign pulmonary nodules managed with imaging surveillance and malignant pulmonary nodules managed with biopsy or empiric treatment.
Final pulmonary nodule diagnosis will be categorized as malignant or benign based on pathologic evaluation.
If pathology is unavailable or inconclusive (i.e., the biopsy was non-diagnostic), pulmonary nodule resolution, shrinkage, or diameter stability at 12 months will be defined as a benign diagnosis.
|
12 months
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Timeliness of care
Time Frame: 12 months
|
For patients with malignant pulmonary nodules, defined as the number of days between the index clinic visit and diagnosis of malignancy and receipt of treatment for malignancy (i.e., surgical resection, radiation therapy).
|
12 months
|
Adverse events
Time Frame: 12 months
|
For patients undergoing biopsy, defined as procedural complications related to pulmonary nodule biopsy.
|
12 months
|
Diagnostic yield
Time Frame: 12 months
|
Using information found in pathology reports, defined as the proportion of biopsies with a definitive histopathologic diagnosis, for each type of diagnostic biopsy procedure.
|
12 months
|
Healthcare costs
Time Frame: 12 months
|
The costs of all imaging studies and diagnostic testing associated with the pulmonary nodule diagnostic process, based on Medicare allowed amounts (amount paid by Medicare and the amount paid by the beneficiary and/or third parties).
|
12 months
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Roger Y. Kim, MD, MSCE, University of Pennsylvania
Publications and helpful links
The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.
General Publications
- Baldwin DR, Gustafson J, Pickup L, Arteta C, Novotny P, Declerck J, Kadir T, Figueiras C, Sterba A, Exell A, Potesil V, Holland P, Spence H, Clubley A, O'Dowd E, Clark M, Ashford-Turner V, Callister ME, Gleeson FV. External validation of a convolutional neural network artificial intelligence tool to predict malignancy in pulmonary nodules. Thorax. 2020 Apr;75(4):306-312. doi: 10.1136/thoraxjnl-2019-214104. Epub 2020 Mar 5.
- Kim RY, Oke JL, Pickup LC, Munden RF, Dotson TL, Bellinger CR, Cohen A, Simoff MJ, Massion PP, Filippini C, Gleeson FV, Vachani A. Artificial Intelligence Tool for Assessment of Indeterminate Pulmonary Nodules Detected with CT. Radiology. 2022 Sep;304(3):683-691. doi: 10.1148/radiol.212182. Epub 2022 May 24.
- Kim RY, Oke JL, Dotson TL, Bellinger CR, Vachani A. Effect of an artificial intelligence tool on management decisions for indeterminate pulmonary nodules. Respirology. 2023 Jun;28(6):582-584. doi: 10.1111/resp.14502. Epub 2023 Apr 5. No abstract available.
- Massion PP, Antic S, Ather S, Arteta C, Brabec J, Chen H, Declerck J, Dufek D, Hickes W, Kadir T, Kunst J, Landman BA, Munden RF, Novotny P, Peschl H, Pickup LC, Santos C, Smith GT, Talwar A, Gleeson F. Assessing the Accuracy of a Deep Learning Method to Risk Stratify Indeterminate Pulmonary Nodules. Am J Respir Crit Care Med. 2020 Jul 15;202(2):241-249. doi: 10.1164/rccm.201903-0505OC.
- Paez R, Kammer MN, Balar A, Lakhani DA, Knight M, Rowe D, Xiao D, Heideman BE, Antic SL, Chen H, Chen SC, Peikert T, Sandler KL, Landman BA, Deppen SA, Grogan EL, Maldonado F. Longitudinal lung cancer prediction convolutional neural network model improves the classification of indeterminate pulmonary nodules. Sci Rep. 2023 Apr 15;13(1):6157. doi: 10.1038/s41598-023-33098-y.
- Paez R, Kammer MN, Tanner NT, Shojaee S, Heideman BE, Peikert T, Balbach ML, Iams WT, Ning B, Lenburg ME, Mallow C, Yarmus L, Fong KM, Deppen S, Grogan EL, Maldonado F. Update on Biomarkers for the Stratification of Indeterminate Pulmonary Nodules. Chest. 2023 Oct;164(4):1028-1041. doi: 10.1016/j.chest.2023.05.025. Epub 2023 May 25.
- Kim RY. Radiomics and artificial intelligence for risk stratification of pulmonary nodules: Ready for primetime? Cancer Biomark. 2024 Feb 6. doi: 10.3233/CBM-230360. Online ahead of print.
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
January 9, 2024
Primary Completion (Estimated)
December 31, 2026
Study Completion (Estimated)
December 31, 2027
Study Registration Dates
First Submitted
July 21, 2023
First Submitted That Met QC Criteria
July 28, 2023
First Posted (Actual)
August 1, 2023
Study Record Updates
Last Update Posted (Actual)
March 12, 2024
Last Update Submitted That Met QC Criteria
March 8, 2024
Last Verified
March 1, 2024
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- 10523
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
Yes
product manufactured in and exported from the U.S.
No
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
Clinical Trials on Lung Cancer
-
M.D. Anderson Cancer CenterRecruitingStage III Lung Cancer AJCC v8 | Lung Carcinoma | Stage II Lung Cancer AJCC v8 | Stage IIA Lung Cancer AJCC v8 | Stage IIB Lung Cancer AJCC v8 | Stage IIIA Lung Cancer AJCC v8 | Stage IIIB Lung Cancer AJCC v8 | Stage I Lung Cancer AJCC v8 | Stage IA1 Lung Cancer AJCC v8 | Stage IA2 Lung Cancer AJCC v8 | Stage... and other conditionsUnited States
-
M.D. Anderson Cancer CenterNational Cancer Institute (NCI)Active, not recruitingStage IVA Lung Cancer AJCC v8 | Stage IVB Lung Cancer AJCC v8 | Stage III Lung Cancer AJCC v8 | Stage IV Lung Cancer AJCC v8 | Stage II Lung Cancer AJCC v8 | Stage IIA Lung Cancer AJCC v8 | Stage IIB Lung Cancer AJCC v8 | Stage IIIA Lung Cancer AJCC v8 | Stage IIIB Lung Cancer AJCC v8 | Stage I Lung Cancer... and other conditionsUnited States
-
Roswell Park Cancer InstituteNational Cancer Institute (NCI)RecruitingStage II Lung Cancer AJCC v8 | Stage IIA Lung Cancer AJCC v8 | Stage IIB Lung Cancer AJCC v8 | Stage IIIA Lung Cancer AJCC v8 | Stage IIIB Lung Cancer AJCC v8 | Stage I Lung Cancer AJCC v8 | Stage IA1 Lung Cancer AJCC v8 | Stage IA2 Lung Cancer AJCC v8 | Stage IA3 Lung Cancer AJCC v8 | Stage IB Lung Cancer...United States
-
City of Hope Medical CenterNational Cancer Institute (NCI)Active, not recruitingCaregiver | Stage III Lung Cancer AJCC v7 | Stage I Lung Cancer AJCC v7 | Stage II Lung Cancer AJCC v7 | Stage IB Lung Cancer AJCC v7 | Stage IA Lung Cancer AJCC v7 | Stage IIA Lung Cancer AJCC v7 | Stage IIB Lung Cancer AJCC v7 | Stage IIIA Lung Cancer AJCC v7 | Stage IIIB Lung Cancer AJCC v7United States
-
Dana-Farber Cancer InstituteMedWaves, IncNot yet recruitingLung Cancer | Lung Cancer Stage I | Lung Cancer Stage II | Stage I Lung Cancer | Stage I - II Primary Lung Cancer | Stage II Lung CancerUnited States
-
WindMIL TherapeuticsBristol-Myers SquibbTerminatedNSCLC | Lung Cancer | Lung Cancer Metastatic | Lung Cancer, Non-small Cell | Non Small Cell Lung Cancer | Non-small Cell Lung Cancer | Non-small Cell Lung Cancer Metastatic | Non Small Cell Lung Cancer MetastaticUnited States
-
University of Southern CaliforniaNational Cancer Institute (NCI); Genentech, Inc.RecruitingStage IVA Lung Cancer AJCC v8 | Stage IVB Lung Cancer AJCC v8 | Lung Non-Small Cell Carcinoma | Stage III Lung Cancer AJCC v8 | Stage IV Lung Cancer AJCC v8 | Stage II Lung Cancer AJCC v8 | Stage IIA Lung Cancer AJCC v8 | Stage IIB Lung Cancer AJCC v8 | Stage IIIA Lung Cancer AJCC v8 | Stage IIIB Lung... and other conditionsUnited States
-
Emory UniversityNational Cancer Institute (NCI)TerminatedLung Non-Small Cell Carcinoma | Stage II Lung Cancer AJCC v8 | Stage IIA Lung Cancer AJCC v8 | Stage IIB Lung Cancer AJCC v8 | Stage IIIA Lung Cancer AJCC v8 | Stage I Lung Cancer AJCC v8 | Stage IA1 Lung Cancer AJCC v8 | Stage IA2 Lung Cancer AJCC v8 | Stage IA3 Lung Cancer AJCC v8 | Stage IB Lung Cancer...United States
-
University of California, San FranciscoMerck Sharp & Dohme LLCWithdrawnLung Non-Small Cell Carcinoma | Stage II Lung Cancer AJCC v8 | Stage IIA Lung Cancer AJCC v8 | Stage IIB Lung Cancer AJCC v8 | Stage IIIA Lung Cancer AJCC v8 | Stage I Lung Cancer AJCC v8 | Stage IA1 Lung Cancer AJCC v8 | Stage IA2 Lung Cancer AJCC v8 | Stage IA3 Lung Cancer AJCC v8 | Stage IB Lung Cancer...United States
-
City of Hope Medical CenterNational Cancer Institute (NCI)CompletedStage IVA Lung Cancer AJCC v8 | Stage IVB Lung Cancer AJCC v8 | Stage III Lung Cancer AJCC v8 | Metastatic Lung Carcinoma | Stage IV Lung Cancer AJCC v8 | Head and Neck Carcinoma | Lung Carcinoma | Stage II Lung Cancer AJCC v8 | Stage IIA Lung Cancer AJCC v8 | Stage IIB Lung Cancer AJCC v8 | Stage IIIA Lung... and other conditionsUnited States
Clinical Trials on Optellum Virtual Nodule Clinic
-
Jaeb Center for Health ResearchCompletedType 1 Diabetes | Type 2 DiabetesUnited States
-
Shaukat Khanum Memorial Cancer Hospital & Research...Enrolling by invitationSatisfaction, Patient | SatisfactionPakistan
-
Abbott Medical DevicesActive, not recruitingParkinson DiseaseUnited States, Spain, Germany, United Kingdom
-
Connolly Hospital BlanchardstownCompletedOutpatients General Surgery Virtual ClinicIreland
-
University of Kansas Medical CenterUniversity of Missouri-Columbia; University of UtahRecruiting
-
University of British ColumbiaCanadian Institutes of Health Research (CIHR); Interior HealthWithdrawn
-
University of Kansas Medical CenterNational Institute on Aging (NIA)CompletedHypertension | Cognitive DeclineUnited States
-
University of MiamiStanley J. Glaser FoundationCompleted
-
dr. Muhammad Abdelhafez Mahmoud, MDCompletedCovid19 | Telemedicine | Pandemic | Virtual ClinicSaudi Arabia