Table of Contents
ISRN Radiology
Volume 2013, Article ID 239424, 6 pages
Review Article

Early Diagnosis of Gallbladder Carcinoma: An Algorithm Approach

1Department of General Surgery, Victoria Hospital, Bangalore Medical College and Research Institute, Bangalore 560002, India
2Department of Radiology, Banaras Hindu University, Uttar Pradesh, Varanasi 221005, India

Received 13 August 2012; Accepted 1 September 2012

Academic Editors: B. Puri and H.-X. Xu

Copyright © 2013 Abhishek Vijayakumar et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Gall bladder carcinoma is the most common biliary tract cancer. Delayed presentation and early spread of tumor make it one of the lethal tumors with poor prognosis. Considering that simple cholecystectomy for T1 disease could offer a potential cure, it is increasingly needed to identify it at early stages. Identification of high-risk cases and offering prophylactic cholecystectomy can decrease the incidence of gallbladder carcinoma. With advances in diagnostic tools like contrast-enhanced endoscopic ultrasound, elastography, multidetctor CT, MRI, and PET scan, we can potentially diagnose gallbladder carcinoma at early stages. This paper reviews the various diagnostic modalities available and an algorithmic approach to early diagnosis of gallbladder carcinoma.