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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-...

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Autores principales: Capelli, Giulia, Campi, Cristina, Bao, Quoc Riccardo, Morra, Francesco, Lacognata, Carmelo, Zucchetta, Pietro, Cecchin, Diego, Pucciarelli, Salvatore, Spolverato, Gaya, Crimì, Filippo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2022
Materias:
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.
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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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