Hayano K, Ohira G, Hirata A, Aoyagi T, Imanishi S, Tochigi T, Hanaoka T, Shuto K, Matsubara H. Imaging biomarkers for the treatment of esophageal cancer. World J Gastroenterol 2019; 25(24): 3021-3029 [PMID: 31293338 DOI: 10.3748/wjg.v25.i24.3021]
Corresponding Author of This Article
Koichi Hayano, FACS, MD, PhD, Associate Professor, Doctor, Department of Frontier Surgery, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan. hayatin1973@yahoo.co.jp
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Minireviews
Open-Access Policy of This Article
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/
Koichi Hayano, Gaku Ohira, Atsushi Hirata, Tomoyoshi Aoyagi, Shunsuke Imanishi, Toru Tochigi, Toshiharu Hanaoka, Hisahiro Matsubara, Department of Frontier Surgery, Chiba University Graduate School of Medicine, Chiba 260-8677, Japan
Kiyohiko Shuto, Department of Surgery, Teikyo University Medical Center, Chiba 299-0111, Japan
Author contributions: Hayano K contributed to conception and design; all authors contributed to manuscript writing and preparing figures; all authors reviewed and approved this article to be published.
Conflict-of-interest statement: We confirm that there are no known conflicts of interest associated with this publication, and there has been no significant financial support for this work that may have influence on the contents.
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/
Corresponding author: Koichi Hayano, FACS, MD, PhD, Associate Professor, Doctor, Department of Frontier Surgery, Chiba University Graduate School of Medicine, 1-8-1 Inohana, Chuo-ku, Chiba 260-8677, Japan. hayatin1973@yahoo.co.jp
Telephone: +81-43-2262110 Fax: +81-43-2262113
Received: March 14, 2019 Peer-review started: March 14, 2019 First decision: April 30, 2019 Revised: May 7, 2019 Accepted: May 31, 2019 Article in press: May 31, 2019 Published online: June 28, 2019
Abstract
Esophageal cancer is known as one of the malignant cancers with poor prognosis. To improve the outcome, combined multimodality treatment is attempted. On the other hand, advances in genomics and other “omic” technologies are paving way to the patient-oriented treatment called “personalized” or “precision” medicine. Recent advancements of imaging techniques such as functional imaging make it possible to use imaging features as biomarker for diagnosis, treatment response, and prognosis in cancer treatment. In this review, we will discuss how we can use imaging derived tumor features as biomarker for the treatment of esophageal cancer.
Core tip: Advances in imaging techniques enable us to assess tumor biology such as viability, vascular physiology, heterogeneity, or metabolism, which can be new approaches to investigate biomarker for cancer treatment. In this review, we will discuss various functional imaging techniques including computed tomography/magnetic resonance perfusion, texture analysis, diffusion-weighted imaging, and positron emission tomography in terms of prediction of treatment response or prognosis in esophageal cancer.
