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Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI

BACKGROUND: Our aim was to investigate preoperative chemoradiation therapy (pCRT) response in locally advanced rectal cancer (LARC) comparing standardized index of shape (SIS) obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with intravoxel-incoherent-motion-modelling-der...

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Autores principales: Petrillo, Antonella, Fusco, Roberta, Granata, Vincenza, Filice, Salvatore, Sansone, Mario, Rega, Daniela, Delrio, Paolo, Bianco, Francesco, Romano, Giovanni Maria, Tatangelo, Fabiana, Avallone, Antonio, Pecori, Biagio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243411/
https://www.ncbi.nlm.nih.gov/pubmed/30479672
http://dx.doi.org/10.1177/1758835918809875
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author Petrillo, Antonella
Fusco, Roberta
Granata, Vincenza
Filice, Salvatore
Sansone, Mario
Rega, Daniela
Delrio, Paolo
Bianco, Francesco
Romano, Giovanni Maria
Tatangelo, Fabiana
Avallone, Antonio
Pecori, Biagio
author_facet Petrillo, Antonella
Fusco, Roberta
Granata, Vincenza
Filice, Salvatore
Sansone, Mario
Rega, Daniela
Delrio, Paolo
Bianco, Francesco
Romano, Giovanni Maria
Tatangelo, Fabiana
Avallone, Antonio
Pecori, Biagio
author_sort Petrillo, Antonella
collection PubMed
description BACKGROUND: Our aim was to investigate preoperative chemoradiation therapy (pCRT) response in locally advanced rectal cancer (LARC) comparing standardized index of shape (SIS) obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with intravoxel-incoherent-motion-modelling-derived parameters by diffusion-weighted imaging (DWI). MATERIALS AND METHODS: Eighty-eight patients with LARC were subjected to MRI before and after pCRT. Apparent diffusion coefficient (ADC), tissue diffusion (D(t)), pseudodiffusion (D(p)) and perfusion fraction (f) were calculated and percentage changes ∆ADC, ∆D(t), ∆D(p), ∆f were computed. SIS was derived comparing DCE-MRI pre- and post-pCRT. Nonparametric tests and receiver operating characteristic (ROC) curves were performed. RESULTS: A total of 52 patients were classified as responders (tumour regression grade; TRG ⩽ 2) and 36 as not-responders (TRG > 3). Mann–Whitney U test showed statistically significant differences in SIS, ∆ADC and ∆D(t) between responders and not-responders and between complete responders (19 patients with TRG = 1) versus incomplete responders. The best parameters to discriminate responders by nonresponders were SIS and ∆ADC, with an accuracy of 91% and 82% (cutoffs of −5.2% and 18.7%, respectively); the best parameters to detect pathological complete responders were SIS, ∆f and ∆D(p) with an accuracy of 78% (cutoffs of 38.5%, 60.0% and 83.0%, respectively). No increase of performance was observed by combining linearly each possible couple of parameters or combining all parameters. CONCLUSION: SIS allows assessment of preoperative treatment response with high accuracy guiding the surgeon versus more or less conservative treatment. DWI-derived parameters reached less accuracy compared with SIS and combining linearly DCE- and DWI-derived parameters; no increase of accuracy was obtained.
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spelling pubmed-62434112018-11-26 Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI Petrillo, Antonella Fusco, Roberta Granata, Vincenza Filice, Salvatore Sansone, Mario Rega, Daniela Delrio, Paolo Bianco, Francesco Romano, Giovanni Maria Tatangelo, Fabiana Avallone, Antonio Pecori, Biagio Ther Adv Med Oncol Original Research BACKGROUND: Our aim was to investigate preoperative chemoradiation therapy (pCRT) response in locally advanced rectal cancer (LARC) comparing standardized index of shape (SIS) obtained from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) with intravoxel-incoherent-motion-modelling-derived parameters by diffusion-weighted imaging (DWI). MATERIALS AND METHODS: Eighty-eight patients with LARC were subjected to MRI before and after pCRT. Apparent diffusion coefficient (ADC), tissue diffusion (D(t)), pseudodiffusion (D(p)) and perfusion fraction (f) were calculated and percentage changes ∆ADC, ∆D(t), ∆D(p), ∆f were computed. SIS was derived comparing DCE-MRI pre- and post-pCRT. Nonparametric tests and receiver operating characteristic (ROC) curves were performed. RESULTS: A total of 52 patients were classified as responders (tumour regression grade; TRG ⩽ 2) and 36 as not-responders (TRG > 3). Mann–Whitney U test showed statistically significant differences in SIS, ∆ADC and ∆D(t) between responders and not-responders and between complete responders (19 patients with TRG = 1) versus incomplete responders. The best parameters to discriminate responders by nonresponders were SIS and ∆ADC, with an accuracy of 91% and 82% (cutoffs of −5.2% and 18.7%, respectively); the best parameters to detect pathological complete responders were SIS, ∆f and ∆D(p) with an accuracy of 78% (cutoffs of 38.5%, 60.0% and 83.0%, respectively). No increase of performance was observed by combining linearly each possible couple of parameters or combining all parameters. CONCLUSION: SIS allows assessment of preoperative treatment response with high accuracy guiding the surgeon versus more or less conservative treatment. DWI-derived parameters reached less accuracy compared with SIS and combining linearly DCE- and DWI-derived parameters; no increase of accuracy was obtained. SAGE Publications 2018-11-16 /pmc/articles/PMC6243411/ /pubmed/30479672 http://dx.doi.org/10.1177/1758835918809875 Text en © The Author(s), 2018 http://www.creativecommons.org/licenses/by-nc/4.0/ This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Original Research
Petrillo, Antonella
Fusco, Roberta
Granata, Vincenza
Filice, Salvatore
Sansone, Mario
Rega, Daniela
Delrio, Paolo
Bianco, Francesco
Romano, Giovanni Maria
Tatangelo, Fabiana
Avallone, Antonio
Pecori, Biagio
Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI
title Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI
title_full Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI
title_fullStr Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI
title_full_unstemmed Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI
title_short Assessing response to neo-adjuvant therapy in locally advanced rectal cancer using Intra-voxel Incoherent Motion modelling by DWI data and Standardized Index of Shape from DCE-MRI
title_sort assessing response to neo-adjuvant therapy in locally advanced rectal cancer using intra-voxel incoherent motion modelling by dwi data and standardized index of shape from dce-mri
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6243411/
https://www.ncbi.nlm.nih.gov/pubmed/30479672
http://dx.doi.org/10.1177/1758835918809875
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