A5039730241- Cholangiocarcinoma and Gallbladder Cancer Studies
- Gallbladder and Bile Duct Disorders
- Radiomics and Machine Learning in Medical Imaging
- Radiation Dose and Imaging
- Cancer-related molecular mechanisms research
- Pancreatic and Hepatic Oncology Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Dental Radiography and Imaging
- MRI in cancer diagnosis
- Cancer Diagnosis and Treatment
- Metastasis and carcinoma case studies
- Liver physiology and pathology
- Biliary and Gastrointestinal Fistulas
- Medical Imaging and Pathology Studies
- Advanced X-ray and CT Imaging
- Radiology practices and education
Post Graduate Institute of Medical Education and Research
2021-2024
SDM College of Medical Science and Hospital
2024
Gallbladder cancer (GBC) is highly aggressive. Diagnosis of GBC challenging as benign gallbladder lesions can have similar imaging features. We aim to develop and validate a deep learning (DL) model for the automatic detection at abdominal ultrasound (US) compare its diagnostic performance with that radiologists. In this prospective study, multiscale, second-order pooling-based DL classifier was trained (training validation cohorts) using US data patients acquired between August 2019 June...
To investigate computed tomography (CT) texture parameters in suspected gallbladder cancer (GBC) and assess its utility predicting histopathological grade overall survival.This retrospective pilot study included consecutive patients with clinically GBC. CT images, clinical, histological or cytological data were retrieved from the database. images reviewed by two radiologists. A single axial section portal venous phase was selected for analysis. Radiomic feature extraction done using...
Gallbladder cancer (GBC) lesions are usually solitary. The presence of multifocal disease can alter resectability and management. There no systematic imaging-based studies evaluating multifocality in GBC. Thus, we aimed to evaluate GBC based on cross-sectional imaging studies.