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Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer

Therapeutic strategies for patients with locally advanced rectal cancer (LARC) who are achieving a pathological complete response (pCR) after neoadjuvant radio-chemotherapy (neoCRT) are being increasingly investigated. Recent trials challenge the current standard therapy of total mesorectal excision...

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Autores principales: Maslova, Marina, Herden, Heinz, Schork, Karin, Turewicz, Michael, Eisenacher, Martin, Schroers, Roland, Baraniskin, Alexander, Mika, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202275/
https://www.ncbi.nlm.nih.gov/pubmed/34136378
http://dx.doi.org/10.3389/fonc.2021.623144
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author Maslova, Marina
Herden, Heinz
Schork, Karin
Turewicz, Michael
Eisenacher, Martin
Schroers, Roland
Baraniskin, Alexander
Mika, Thomas
author_facet Maslova, Marina
Herden, Heinz
Schork, Karin
Turewicz, Michael
Eisenacher, Martin
Schroers, Roland
Baraniskin, Alexander
Mika, Thomas
author_sort Maslova, Marina
collection PubMed
description Therapeutic strategies for patients with locally advanced rectal cancer (LARC) who are achieving a pathological complete response (pCR) after neoadjuvant radio-chemotherapy (neoCRT) are being increasingly investigated. Recent trials challenge the current standard therapy of total mesorectal excision (TME). For some patients, the treatment strategy of “watch-and-wait” seems a preferable procedure. The key factor in determining individual treatment strategies following neoCRT is the precise evaluation of the tumor response. Contrast-enhanced computer tomography (ceCT) has proven its ability to discriminate benign and malign lesions in multiple cancers. In this study, we retrospectively analyzed the ceCT based density of LARC in 30 patients, undergoing neoCRT followed by TME. We compared the tumors´ pre- and post-neoCRT density and correlated the results to the amount of residual vital tumor cells in the resected tissue. Overall, the density decreased after neoCRT, with the highest decrease in patients achieving pCR. Densitometry demonstrated a specificity of 88% and sensitivity of 68% in predicting pCR. Thus, we claim that ceCT based densitometry is a useful tool in identifying patients with LARC who may benefit from a “watch-and-wait” strategy and suggest further prospective studies.
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spelling pubmed-82022752021-06-15 Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer Maslova, Marina Herden, Heinz Schork, Karin Turewicz, Michael Eisenacher, Martin Schroers, Roland Baraniskin, Alexander Mika, Thomas Front Oncol Oncology Therapeutic strategies for patients with locally advanced rectal cancer (LARC) who are achieving a pathological complete response (pCR) after neoadjuvant radio-chemotherapy (neoCRT) are being increasingly investigated. Recent trials challenge the current standard therapy of total mesorectal excision (TME). For some patients, the treatment strategy of “watch-and-wait” seems a preferable procedure. The key factor in determining individual treatment strategies following neoCRT is the precise evaluation of the tumor response. Contrast-enhanced computer tomography (ceCT) has proven its ability to discriminate benign and malign lesions in multiple cancers. In this study, we retrospectively analyzed the ceCT based density of LARC in 30 patients, undergoing neoCRT followed by TME. We compared the tumors´ pre- and post-neoCRT density and correlated the results to the amount of residual vital tumor cells in the resected tissue. Overall, the density decreased after neoCRT, with the highest decrease in patients achieving pCR. Densitometry demonstrated a specificity of 88% and sensitivity of 68% in predicting pCR. Thus, we claim that ceCT based densitometry is a useful tool in identifying patients with LARC who may benefit from a “watch-and-wait” strategy and suggest further prospective studies. Frontiers Media S.A. 2021-05-31 /pmc/articles/PMC8202275/ /pubmed/34136378 http://dx.doi.org/10.3389/fonc.2021.623144 Text en Copyright © 2021 Maslova, Herden, Schork, Turewicz, Eisenacher, Schroers, Baraniskin and Mika https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Maslova, Marina
Herden, Heinz
Schork, Karin
Turewicz, Michael
Eisenacher, Martin
Schroers, Roland
Baraniskin, Alexander
Mika, Thomas
Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer
title Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer
title_full Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer
title_fullStr Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer
title_full_unstemmed Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer
title_short Computertomography-Based Prediction of Complete Response Following Neoadjuvant Chemoradiotherapy of Locally Advanced Rectal Cancer
title_sort computertomography-based prediction of complete response following neoadjuvant chemoradiotherapy of locally advanced rectal cancer
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8202275/
https://www.ncbi.nlm.nih.gov/pubmed/34136378
http://dx.doi.org/10.3389/fonc.2021.623144
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