Copyright
©The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
World J Gastroenterol. Jun 21, 2022; 28(23): 2609-2624
Published online Jun 21, 2022. doi: 10.3748/wjg.v28.i23.2609
Published online Jun 21, 2022. doi: 10.3748/wjg.v28.i23.2609
Whole lesion histogram analysis of apparent diffusion coefficient predicts therapy response in locally advanced rectal cancer
Mayra Evelia Jiménez de los Santos, Juan Armando Reyes-Pérez, Victor Domínguez Osorio, Yolanda Villaseñor-Navarro, Liliana Moreno-Astudillo, Isabel Sollozo-Dupont, Department of Radiology, National Cancer Institute, Mexico 14080, Mexico
Itzel Vela-Sarmiento, Department of Gastrointestinal Surgery, National Cancer Institute, Mexico 14080, Mexico
Author contributions: Sollozo-Dupont I designed the study; Sollozo-Dupont I and Domínguez Osorio V analyzed the data; Domínguez Osorio V and Vela-Sarmiento I collected the data; Sollozo-Dupont I, Jiménez de los Santos ME, and Reyes-Pérez JA wrote the paper; Villaseñor-Navarro Y and Moreno-Astudillo L reviewed the study; Jiménez de los Santos ME and Reyes-Pérez JA contributed equally to this work; All authors contributed to the manuscript for important intellectual content and approved the submission.
Institutional review board statement: The study protocol was approved by the Institutional Review Board of the National Cancer Institute from México, city, and was in accordance with the Declaration of Helsinki (Approval No. 2021/026).
Informed consent statement: Patients were not required to give informed consent to the study because the analysis used anonymous clinical data that were obtained after each patient agreed to treatment by written consent.
Conflict-of-interest statement: The authors have no conflicts of interest to declare.
Data sharing statement: The raw data supporting the conclusions of this article will be made available by the authors.
Open-Access: This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (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: https://creativecommons.org/Licenses/by-nc/4.0/
Corresponding author: Isabel Sollozo-Dupont, PhD, Academic Research, Statistician, Department of Radiology, National Cancer Institute, Av. San Fernando No. 22, Col. Sección XVI Delegación Tlalpan, Mexico 14080, Mexico. sodi8507@gmail.com
Received: September 23, 2021
Peer-review started: September 23, 2021
First decision: November 16, 2021
Revised: November 25, 2021
Accepted: April 22, 2022
Article in press: April 22, 2022
Published online: June 21, 2022
Processing time: 265 Days and 23.6 Hours
Peer-review started: September 23, 2021
First decision: November 16, 2021
Revised: November 25, 2021
Accepted: April 22, 2022
Article in press: April 22, 2022
Published online: June 21, 2022
Processing time: 265 Days and 23.6 Hours
Core Tip
Core Tip: Whole-tumor apparent diffusion coefficient (ADC) histogram analysis is an emergent imaging analysis in which every voxel is used to obtain a histogram; it thus provides statistical information about tumors. Our study revealed that ADC histogram profiling is a valuable approach that can help differentiate treatment response in locally advanced rectal cancer. When determining tailored treatments that are associated with minimal morbidities, such as the watch and wait method, an accurate treatment response prediction is critical. Given the limitations of this study, more research is needed to establish the clinical utility of our findings.