Tumor regression grade and tumor volume reduction rate by magnetic resonance in neoadyuvant chemoradiation for rectal cancer

2013 ◽  
Vol 18 ◽  
pp. S226
Author(s):  
P. Escolar Pérez ◽  
E. Martinez Lerma ◽  
A. Iglesias Aguera ◽  
M. Gómez Aparicio ◽  
J. Salinas Ramos
2022 ◽  
Vol 12 (2) ◽  
pp. 725
Author(s):  
Majdi Alnowami ◽  
Fouad Abolaban ◽  
Hussam Hijazi ◽  
Andrew Nisbet

Artificial Intelligence (AI) has been widely employed in the medical field in recent years in such areas as image segmentation, medical image registration, and computer-aided detection. This study explores one application of using AI in adaptive radiation therapy treatment planning by predicting the tumor volume reduction rate (TVRR). Cone beam computed tomography (CBCT) scans of twenty rectal cancer patients were collected to observe the change in tumor volume over the course of a standard five-week radiotherapy treatment. In addition to treatment volume, patient data including patient age, gender, weight, number of treatment fractions, and dose per fraction were also collected. Application of a stepwise regression model showed that age, dose per fraction and weight were the best predictors for tumor volume reduction rate.


2021 ◽  
Vol 100 (2) ◽  

Introduction: The article contains a summary of the issues of staging and therapy with an emphasis on the neoadjuvant treatment and associated tumor regression grade with the analysis of our own group of patients. Methods: Retrospective analysis of patients with rectal cancer who underwent a surgery at the 1st Department of Surgery – Thoratic, Abdominal and Injury Surgery; First Faculty of Medicine, Charles University in Prague and General University Hospital in Prague, Czech Republic, focusing on those who underwent neoadjuvant chemoradiotherapy and their pathologists evaluated tumor regression grade after the resection. Results: The group consists of 161 patients operated on between 2012 and 2016. 47 patients underwent neoadjuvant oncological treatment with further evaluation of the tumor regression grade by a pathologist, a scoring system according to Ryan was used. A complete pathological response was elicited in 10.4% of patients, no response in 35.4% of patients, and partial tumor regression in 54.2%. Conclusion: Although there is a difference in our results compared to foreign publications, the proportion of patients remains comparable. Studies evaluating the advantages versus disadvantages of neoadjuvant therapy will certainly follow, and the question of the suitability of surgical treatment as the only curative solution is partially raised.


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