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World J Radiol. Jul 28, 2015; 7(7): 170-179
Published online Jul 28, 2015. doi: 10.4329/wjr.v7.i7.170
Perfusion computed tomography in renal cell carcinoma
Chandan J Das, Usha Thingujam, Ananya Panda, Sanjay Sharma, Arun Kumar Gupta
Chandan J Das, Usha Thingujam, Ananya Panda, Sanjay Sharma, Arun Kumar Gupta, Department of Radiology, All India Institute of Medical Sciences, Ansari Nagar, New Delhi 110029, India
Author contributions: Das CJ, Thingujam U and Panda A contributed equally to conception, article design, literature search, article drafting, critical revision and image preparation; Das CJ and Sharma S helped with the article concept and revision; Das CJ and Gupta AK helped in article preparation and final approval of version of article to be published.
Conflict-of-interest statement: None.
Open-Access: This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
Correspondence to: Dr. Chandan J Das, MD, DNB, MNAMS, Assistant Professor, Department of Radiology, All India Institute of Medical Sciences, Room No. 63, Ansari Nagar, New Delhi 110029, India. docchandan17@gmail.com
Telephone: +91-11-26594889 Fax: +91-11-26588663
Received: December 1, 2014
Peer-review started: December 2, 2014
First decision: February 7, 2015
Revised: March 30, 2015
Accepted: June 4, 2015
Article in press: June 8, 2015
Published online: July 28, 2015
Processing time: 229 Days and 13.9 Hours
Core Tip

Core tip: Perfusion computed tomography is a functional imaging technique. It can be used to predict the histologic grade and early as well as more accurate response evaluation in renal cell carcinoma (RCC). This has the potential to help in better selection of therapy and improve prognosis in RCC.