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Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer
Background: To evaluate the association between perfusion parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with prognostic factors in primary rectal cancer patients. Methods: A sample of 51 patients with pathologically proven rectal adenocarcinoma through surger...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955503/ https://www.ncbi.nlm.nih.gov/pubmed/36826155 http://dx.doi.org/10.3390/curroncol30020194 |
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author | Kim, Hye Ri Kim, Seung Ho Nam, Kyung Han |
author_facet | Kim, Hye Ri Kim, Seung Ho Nam, Kyung Han |
author_sort | Kim, Hye Ri |
collection | PubMed |
description | Background: To evaluate the association between perfusion parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with prognostic factors in primary rectal cancer patients. Methods: A sample of 51 patients with pathologically proven rectal adenocarcinoma through surgery were retrospectively enrolled. All the patients underwent preoperative DCE-MRI including 3D-spoiled gradient echo. Two radiologists determined the tumor border after radiologic–pathologic correlation and drew regions of interest. The perfusion parameters, including the volume transfer constant (K(trans)), were calculated under the extended Toft model. The prognostic factors included TN stage, circumferential resection margin, extramural venous invasion, Kirsten-ras mutation, tumor size, carcinoembryonic antigen, and tumor differentiation. The association was assessed via correlation or t-test. For significant prognostic factors, receiver operating characteristic (ROC) curve analyses were performed to estimate the diagnostic predictive values. Results: K(trans) only showed a significant difference according to tumor differentiation, between the well-differentiated (n = 6) and moderately differentiated (n = 45) groups (0.127 ± 0.032, 0.084 ± 0.036, p = 0.036). The AUC was 0.838 (95% CI, 0.702–0.929), and the estimated accuracy, sensitivity, and specificity were 87%, 90%, and 60%, respectively. Conclusions: K(trans) showed a significant difference based on tumor differentiation, which may be conducive to prediction of prognosis in primary rectal cancer. |
format | Online Article Text |
id | pubmed-9955503 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-99555032023-02-25 Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer Kim, Hye Ri Kim, Seung Ho Nam, Kyung Han Curr Oncol Article Background: To evaluate the association between perfusion parameters derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with prognostic factors in primary rectal cancer patients. Methods: A sample of 51 patients with pathologically proven rectal adenocarcinoma through surgery were retrospectively enrolled. All the patients underwent preoperative DCE-MRI including 3D-spoiled gradient echo. Two radiologists determined the tumor border after radiologic–pathologic correlation and drew regions of interest. The perfusion parameters, including the volume transfer constant (K(trans)), were calculated under the extended Toft model. The prognostic factors included TN stage, circumferential resection margin, extramural venous invasion, Kirsten-ras mutation, tumor size, carcinoembryonic antigen, and tumor differentiation. The association was assessed via correlation or t-test. For significant prognostic factors, receiver operating characteristic (ROC) curve analyses were performed to estimate the diagnostic predictive values. Results: K(trans) only showed a significant difference according to tumor differentiation, between the well-differentiated (n = 6) and moderately differentiated (n = 45) groups (0.127 ± 0.032, 0.084 ± 0.036, p = 0.036). The AUC was 0.838 (95% CI, 0.702–0.929), and the estimated accuracy, sensitivity, and specificity were 87%, 90%, and 60%, respectively. Conclusions: K(trans) showed a significant difference based on tumor differentiation, which may be conducive to prediction of prognosis in primary rectal cancer. MDPI 2023-02-20 /pmc/articles/PMC9955503/ /pubmed/36826155 http://dx.doi.org/10.3390/curroncol30020194 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kim, Hye Ri Kim, Seung Ho Nam, Kyung Han Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer |
title | Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer |
title_full | Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer |
title_fullStr | Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer |
title_full_unstemmed | Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer |
title_short | Association between Dynamic Contrast-Enhanced MRI Parameters and Prognostic Factors in Patients with Primary Rectal Cancer |
title_sort | association between dynamic contrast-enhanced mri parameters and prognostic factors in patients with primary rectal cancer |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9955503/ https://www.ncbi.nlm.nih.gov/pubmed/36826155 http://dx.doi.org/10.3390/curroncol30020194 |
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