NCT05718115

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. 1.Undergo biopsy of the gallbladder mass after a baseline CT scan
  2. 2.Based on the results of the biopsy, patients will be given chemotherapy either targeted (if Her2 positive) or non-targeted
  3. 3.Response to treatment will be assessed with a CT scan at 12 weeks of chemotherapy

Trial Health

43
At Risk

Trial Health Score

Automated assessment based on enrollment pace, timeline, and geographic reach

Trial has exceeded expected completion date
Enrollment
75

participants targeted

Target at P50-P75 for all trials

Timeline
Completed

Started Feb 2023

Shorter than P25 for all trials

Geographic Reach
1 country

1 active site

Status
unknown

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

Completed
10 days until next milestone

First Posted

Study publicly available on registry

February 8, 2023

Completed
7 days until next milestone

Study Start

First participant enrolled

February 15, 2023

Completed
11 months until next milestone

Primary Completion

Last participant's last visit for primary outcome

December 31, 2023

Completed
Same day until next milestone

Study Completion

Last participant's last visit for all outcomes

December 31, 2023

Completed
Last Updated

February 8, 2023

Status Verified

February 1, 2023

Enrollment Period

11 months

First QC Date

January 29, 2023

Last Update Submit

February 6, 2023

Conditions

Keywords

Gallbladder cancer, HER2, Radiogenomics, CT scan

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

CT scanDIAGNOSTIC_TEST

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

Age18 Years - 70 Years
Sexall
Healthy VolunteersNo
Age GroupsAdult (18-64), Older Adult (65+)
Sampling MethodProbability Sample
Study Population

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

RECRUITING

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: 34874479BACKGROUND
  • Gupta 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: 34851429BACKGROUND
  • Rana 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: 34826262BACKGROUND
  • Gupta 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: 35402717BACKGROUND
  • Gupta 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: 33177791BACKGROUND
  • Gupta 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: 32323586BACKGROUND
  • Gupta 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: 32945922BACKGROUND
  • Kalra 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: 31360026BACKGROUND
  • Javle 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: 34339623BACKGROUND
  • Javle 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: 26022204BACKGROUND
  • Albrecht 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: 31838585BACKGROUND
  • May 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

Gallbladder Neoplasms

Interventions

Tomography, X-Ray Computed

Condition Hierarchy (Ancestors)

Biliary Tract NeoplasmsDigestive System NeoplasmsNeoplasms by SiteNeoplasmsBiliary Tract DiseasesDigestive System DiseasesGallbladder Diseases

Intervention Hierarchy (Ancestors)

Image Interpretation, Computer-AssistedDiagnostic ImagingDiagnostic Techniques and ProceduresDiagnosisRadiographic Image EnhancementImage EnhancementPhotographyRadiographyTomography, X-RayTomography

Study Officials

  • Pankaj Gupta

    PGIMER, CHANDIGARH

    PRINCIPAL INVESTIGATOR

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

Locations