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18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy
Reliable markers to predict the response to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) are lacking. We aimed to assess the ability of 18F-FDG PET/MRI to predict response to nCRT among patients undergoing curative-intent surgery. METHODS: Patients with histological-...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Lippincott Williams & Wilkins
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177153/ https://www.ncbi.nlm.nih.gov/pubmed/35471653 http://dx.doi.org/10.1097/MNM.0000000000001570 |
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author | Capelli, Giulia Campi, Cristina Bao, Quoc Riccardo Morra, Francesco Lacognata, Carmelo Zucchetta, Pietro Cecchin, Diego Pucciarelli, Salvatore Spolverato, Gaya Crimì, Filippo |
author_facet | Capelli, Giulia Campi, Cristina Bao, Quoc Riccardo Morra, Francesco Lacognata, Carmelo Zucchetta, Pietro Cecchin, Diego Pucciarelli, Salvatore Spolverato, Gaya Crimì, Filippo |
author_sort | Capelli, Giulia |
collection | PubMed |
description | Reliable markers to predict the response to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) are lacking. We aimed to assess the ability of 18F-FDG PET/MRI to predict response to nCRT among patients undergoing curative-intent surgery. METHODS: Patients with histological-confirmed LARC who underwent curative-intent surgery following nCRT and restaging with 18F-FDG PET/MRI were included. Statistical correlation between radiomic features extracted in PET, apparent diffusion coefficient (ADC) and T2w images and patients’ histopathologic response to chemoradiotherapy using a multivariable logistic regression model ROC-analysis. RESULTS: Overall, 50 patients were included in the study. A pathological complete response was achieved in 28.0% of patients. Considering second-order textural features, nine parameters showed a statistically significant difference between the two groups in ADC images, six parameters in PET images and four parameters in T2w images. Combining all the features selected for the three techniques in the same multivariate ROC curve analysis, we obtained an area under ROC curve of 0.863 (95% CI, 0.760–0.966), showing a sensitivity, specificity and accuracy at the Youden’s index of 100% (14/14), 64% (23/36) and 74% (37/50), respectively. CONCLUSION: PET/MRI texture analysis seems to represent a valuable tool in the identification of rectal cancer patients with a complete pathological response to nCRT. |
format | Online Article Text |
id | pubmed-9177153 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Lippincott Williams & Wilkins |
record_format | MEDLINE/PubMed |
spelling | pubmed-91771532022-06-16 18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy Capelli, Giulia Campi, Cristina Bao, Quoc Riccardo Morra, Francesco Lacognata, Carmelo Zucchetta, Pietro Cecchin, Diego Pucciarelli, Salvatore Spolverato, Gaya Crimì, Filippo Nucl Med Commun Original Articles Reliable markers to predict the response to neoadjuvant chemoradiotherapy (nCRT) in locally advanced rectal cancer (LARC) are lacking. We aimed to assess the ability of 18F-FDG PET/MRI to predict response to nCRT among patients undergoing curative-intent surgery. METHODS: Patients with histological-confirmed LARC who underwent curative-intent surgery following nCRT and restaging with 18F-FDG PET/MRI were included. Statistical correlation between radiomic features extracted in PET, apparent diffusion coefficient (ADC) and T2w images and patients’ histopathologic response to chemoradiotherapy using a multivariable logistic regression model ROC-analysis. RESULTS: Overall, 50 patients were included in the study. A pathological complete response was achieved in 28.0% of patients. Considering second-order textural features, nine parameters showed a statistically significant difference between the two groups in ADC images, six parameters in PET images and four parameters in T2w images. Combining all the features selected for the three techniques in the same multivariate ROC curve analysis, we obtained an area under ROC curve of 0.863 (95% CI, 0.760–0.966), showing a sensitivity, specificity and accuracy at the Youden’s index of 100% (14/14), 64% (23/36) and 74% (37/50), respectively. CONCLUSION: PET/MRI texture analysis seems to represent a valuable tool in the identification of rectal cancer patients with a complete pathological response to nCRT. Lippincott Williams & Wilkins 2022-04-26 2022-07 /pmc/articles/PMC9177153/ /pubmed/35471653 http://dx.doi.org/10.1097/MNM.0000000000001570 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY) (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Articles Capelli, Giulia Campi, Cristina Bao, Quoc Riccardo Morra, Francesco Lacognata, Carmelo Zucchetta, Pietro Cecchin, Diego Pucciarelli, Salvatore Spolverato, Gaya Crimì, Filippo 18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy |
title | 18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy |
title_full | 18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy |
title_fullStr | 18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy |
title_full_unstemmed | 18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy |
title_short | 18F-FDG-PET/MRI texture analysis in rectal cancer after neoadjuvant chemoradiotherapy |
title_sort | 18f-fdg-pet/mri texture analysis in rectal cancer after neoadjuvant chemoradiotherapy |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9177153/ https://www.ncbi.nlm.nih.gov/pubmed/35471653 http://dx.doi.org/10.1097/MNM.0000000000001570 |
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