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Magnetic resonance tumor regression grade (MR-TRG) to assess pathological complete response following neoadjuvant radiochemotherapy in locally advanced rectal cancer.
| Content Provider | Europe PMC |
|---|---|
| Author | Rengo, Marco Picchia, Simona Marzi, Simona Bellini, Davide Caruso, Damiano Caterino, Mauro Ciolina, Maria De Santis, Domenico Musio, Daniela Tombolini, Vincenzo Laghi, Andrea |
| Copyright Year | 2017 |
| Abstract | This study aims to evaluate the feasibility of a magnetic resonance (MR) automatic method for quantitative assessment of the percentage of fibrosis developed within locally advanced rectal cancers (LARC) after neoadjuvant radiochemotherapy (RCT). A total of 65 patients were enrolled in the study and MR studies were performed on 3.0 Tesla scanner; patients were followed-up for 30 months. The percentage of fibrosis was quantified on T2-weighted images, using automatic K-Means clustering algorithm. According to the percentage of fibrosis, an optimal cut-off point for separating patients into favorable and unfavorable pathologic response groups was identified by ROC analysis and tumor regression grade (MR-TRG) classes were determined and compared to histopathologic TRG. An optimal cut-off point of 81% of fibrosis was identified to differentiate between favorable and unfavorable pathologic response groups resulting in a sensitivity of 78.26% and a specificity of 97.62% for the identification of complete responders (CRs). Interobserver agreement was good (0.85). The agreement between P-TRG and MR-TRG was excellent (0.923). Significant differences in terms of overall survival (OS) and disease free survival (DFS) were found between favorable and unfavorable pathologic response groups. The automatic quantification of fibrosis determined by MR is feasible and reproducible. |
| Journal | Oncotarget |
| Volume Number | 8 |
| PubMed Central reference number | PMC5777729 |
| Issue Number | 70 |
| PubMed reference number | 29383117 |
| e-ISSN | 19492553 |
| DOI | 10.18632/oncotarget.21778 |
| Language | English |
| Publisher | Impact Journals LLC |
| Publisher Date | 2017-10-10 |
| Access Restriction | Open |
| Rights License | This article is distributed under the terms of the Creative Commons Attribution License (CC-BY), which permits unrestricted use and redistribution provided that the original author and source are credited. Copyright: © 2017 Rengo et al. |
| Subject Keyword | rectal cancer neoadjuvant therapy magnetic resonance imaging prognosis |
| Content Type | Text |
| Resource Type | Article |
| Subject | Oncology |
