Deep Learning Radiogenomics For Individualized Therapy in Unresectable Gallbladder Cancer
1 other identifier
observational
75
1 country
1
Brief Summary
The goal of this observational study is to learn about deep learning radiogenomics for individualized therapy in unresectable gallbladder cancer. The main questions it aims to answer are: (i) whether a deep learning radiomics (DLR) model can be used for identification of HER2status and prediction of response to anti-HER2 directed therapy in unresectable GBC. (ii) validation of the deep learning radiomics (DLR) model for identification of HER2 status and prediction of response to anti-HER2 directed therapy in unresectable GBC. Participants will be asked to
- 1.Undergo biopsy of the gallbladder mass after a baseline CT scan
- 2.Based on the results of the biopsy, patients will be given chemotherapy either targeted (if Her2 positive) or non-targeted
- 3.Response to treatment will be assessed with a CT scan at 12 weeks of chemotherapy
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for all trials
Started Feb 2023
Shorter than P25 for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
January 29, 2023
CompletedFirst Posted
Study publicly available on registry
February 8, 2023
CompletedStudy Start
First participant enrolled
February 15, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
December 31, 2023
CompletedFebruary 8, 2023
February 1, 2023
11 months
January 29, 2023
February 6, 2023
Conditions
Keywords
Outcome Measures
Primary Outcomes (2)
Develop and validate a deep learning radiomics (DLR) model for identification of HER2 status in unresectable gallbladder cancer (GBC) on computed tomography (CT)
The DLR model identifying HER2 status in unresectable GBC will be developed using contrast enhanced CT scans of 150 patients (retrospective data). The accuracy of DLR will be validated a in a prospective contrast enhanced CT data of 75 patients.
8 months
Predict response to anti-HER2 directed therapy using DLR
DLR will be used to predict response to targeted therapy in prospective cohort of HER2+ GBC patients on follow up CT at 12 weeks using RECIST 1.1
12 weeks
Interventions
Biphasic CT scan including arterial phase and portal venous phase after intravenous injection of 80-100 mL of non-ionic iodinated contrast at rate of 4ml/s using pressure injector.
Eligibility Criteria
Patients with unresectable mass-forming GBC
You may qualify if:
- Patients with unresectable mass-forming GBC
- Patients willing to give informed consent
You may not qualify if:
- Patients with prior chemotherapy for GBC
- Patients with deranged RFTs
- Patients with contrast allergy
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Post Graduate Institute of Medical Education and Research
Chandigarh, Punjab, 160012, India
Related Publications (12)
Boddapati SB, Lal A, Gupta P, Kalra N, Yadav TD, Gupta V, Dass A, Srinivasan R, Singhal M. Contrast enhanced ultrasound versus multiphasic contrast enhanced computed tomography in evaluation of gallbladder lesions. Abdom Radiol (NY). 2022 Feb;47(2):566-575. doi: 10.1007/s00261-021-03364-6. Epub 2021 Dec 7.
PMID: 34874479BACKGROUNDGupta P, Dutta U, Rana P, Singhal M, Gulati A, Kalra N, Soundararajan R, Kalage D, Chhabra M, Sharma V, Gupta V, Yadav TD, Kaman L, Irrinki S, Singh H, Sakaray Y, Das CK, Saikia U, Nada R, Srinivasan R, Sandhu MS, Sharma R, Shetty N, Eapen A, Kaur H, Kambadakone A, de Haas R, Kapoor VK, Barreto SG, Sharma AK, Patel A, Garg P, Pal SK, Goel M, Patkar S, Behari A, Agarwal AK, Sirohi B, Javle M, Garcea G, Nervi F, Adsay V, Roa JC, Han HS. Gallbladder reporting and data system (GB-RADS) for risk stratification of gallbladder wall thickening on ultrasonography: an international expert consensus. Abdom Radiol (NY). 2022 Feb;47(2):554-565. doi: 10.1007/s00261-021-03360-w. Epub 2021 Dec 1.
PMID: 34851429BACKGROUNDRana P, Gupta P, Kalage D, Soundararajan R, Kumar-M P, Dutta U. Grayscale ultrasonography findings for characterization of gallbladder wall thickening in non-acute setting: a systematic review and meta-analysis. Expert Rev Gastroenterol Hepatol. 2022 Jan;16(1):59-71. doi: 10.1080/17474124.2021.2011210. Epub 2022 Jan 17.
PMID: 34826262BACKGROUNDGupta P, Rana P, Ganeshan B, Kalage D, Irrinki S, Gupta V, Yadav TD, Kumar R, Das CK, Gupta P, Endozo R, Nada R, Srinivasan R, Kalra N, Dutta U, Sandhu M. Computed tomography texture-based radiomics analysis in gallbladder cancer: initial experience. Clin Exp Hepatol. 2021 Dec;7(4):406-414. doi: 10.5114/ceh.2021.111173. Epub 2021 Dec 2.
PMID: 35402717BACKGROUNDGupta P, Marodia Y, Bansal A, Kalra N, Kumar-M P, Sharma V, Dutta U, Sandhu MS. Imaging-based algorithmic approach to gallbladder wall thickening. World J Gastroenterol. 2020 Oct 28;26(40):6163-6181. doi: 10.3748/wjg.v26.i40.6163.
PMID: 33177791BACKGROUNDGupta P, Kumar M, Sharma V, Dutta U, Sandhu MS. Evaluation of gallbladder wall thickening: a multimodality imaging approach. Expert Rev Gastroenterol Hepatol. 2020 Jun;14(6):463-473. doi: 10.1080/17474124.2020.1760840. Epub 2020 Apr 30.
PMID: 32323586BACKGROUNDGupta P, Meghashyam K, Marodia Y, Gupta V, Basher R, Das CK, Yadav TD, Irrinki S, Nada R, Dutta U. Locally advanced gallbladder cancer: a review of the criteria and role of imaging. Abdom Radiol (NY). 2021 Mar;46(3):998-1007. doi: 10.1007/s00261-020-02756-4. Epub 2020 Sep 18.
PMID: 32945922BACKGROUNDKalra N, Gupta P, Singhal M, Gupta R, Gupta V, Srinivasan R, Mittal BR, Dhiman RK, Khandelwal N. Cross-sectional Imaging of Gallbladder Carcinoma: An Update. J Clin Exp Hepatol. 2019 May-Jun;9(3):334-344. doi: 10.1016/j.jceh.2018.04.005. Epub 2018 Apr 30.
PMID: 31360026BACKGROUNDJavle M, Borad MJ, Azad NS, Kurzrock R, Abou-Alfa GK, George B, Hainsworth J, Meric-Bernstam F, Swanton C, Sweeney CJ, Friedman CF, Bose R, Spigel DR, Wang Y, Levy J, Schulze K, Cuchelkar V, Patel A, Burris H. Pertuzumab and trastuzumab for HER2-positive, metastatic biliary tract cancer (MyPathway): a multicentre, open-label, phase 2a, multiple basket study. Lancet Oncol. 2021 Sep;22(9):1290-1300. doi: 10.1016/S1470-2045(21)00336-3. Epub 2021 Jul 30.
PMID: 34339623BACKGROUNDJavle M, Churi C, Kang HC, Shroff R, Janku F, Surapaneni R, Zuo M, Barrera C, Alshamsi H, Krishnan S, Mishra L, Wolff RA, Kaseb AO, Thomas MB, Siegel AB. HER2/neu-directed therapy for biliary tract cancer. J Hematol Oncol. 2015 May 29;8:58. doi: 10.1186/s13045-015-0155-z.
PMID: 26022204BACKGROUNDAlbrecht T, Rausch M, Roessler S, Geissler V, Albrecht M, Halske C, Seifert C, Renner M, Singer S, Mehrabi A, Vogel MN, Pathil-Warth A, Busch E, Kohler B, Rupp C, Weiss KH, Springfeld C, Rocken C, Schirmacher P, Goeppert B. HER2 gene (ERBB2) amplification is a low-frequency driver with potential predictive value in gallbladder carcinoma. Virchows Arch. 2020 Jun;476(6):871-880. doi: 10.1007/s00428-019-02706-6. Epub 2019 Dec 14.
PMID: 31838585BACKGROUNDMay M, Raufi AG, Sadeghi S, Chen K, Iuga A, Sun Y, Ahmed F, Bates S, Manji GA. Prolonged Response to HER2-Directed Therapy in Three Patients with HER2-Amplified Metastatic Carcinoma of the Biliary System: Case Study and Review of the Literature. Oncologist. 2021 Aug;26(8):640-646. doi: 10.1002/onco.13800. Epub 2021 May 11.
PMID: 33896096BACKGROUND
MeSH Terms
Conditions
Interventions
Condition Hierarchy (Ancestors)
Intervention Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Pankaj Gupta
PGIMER, CHANDIGARH
Central Study Contacts
Study Design
- Study Type
- observational
- Observational Model
- CASE ONLY
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
January 29, 2023
First Posted
February 8, 2023
Study Start
February 15, 2023
Primary Completion
December 31, 2023
Study Completion
December 31, 2023
Last Updated
February 8, 2023
Record last verified: 2023-02