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Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis

Previous studies indicate that FDG PET/CT may predict pathological response in patients undergoing neoadjuvant chemo-radiotherapy for locally advanced rectal cancer (LARC). Aim of the current study is evaluate if pathological response can be similarly predicted in LARC patients after short course ra...

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Autores principales: Pecori, Biagio, Lastoria, Secondo, Caracò, Corradina, Celentani, Marco, Tatangelo, Fabiana, Avallone, Antonio, Rega, Daniela, De Palma, Giampaolo, Mormile, Maria, Budillon, Alfredo, Muto, Paolo, Bianco, Francesco, Aloj, Luigi, Petrillo, Antonella, Delrio, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217944/
https://www.ncbi.nlm.nih.gov/pubmed/28060889
http://dx.doi.org/10.1371/journal.pone.0169462
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author Pecori, Biagio
Lastoria, Secondo
Caracò, Corradina
Celentani, Marco
Tatangelo, Fabiana
Avallone, Antonio
Rega, Daniela
De Palma, Giampaolo
Mormile, Maria
Budillon, Alfredo
Muto, Paolo
Bianco, Francesco
Aloj, Luigi
Petrillo, Antonella
Delrio, Paolo
author_facet Pecori, Biagio
Lastoria, Secondo
Caracò, Corradina
Celentani, Marco
Tatangelo, Fabiana
Avallone, Antonio
Rega, Daniela
De Palma, Giampaolo
Mormile, Maria
Budillon, Alfredo
Muto, Paolo
Bianco, Francesco
Aloj, Luigi
Petrillo, Antonella
Delrio, Paolo
author_sort Pecori, Biagio
collection PubMed
description Previous studies indicate that FDG PET/CT may predict pathological response in patients undergoing neoadjuvant chemo-radiotherapy for locally advanced rectal cancer (LARC). Aim of the current study is evaluate if pathological response can be similarly predicted in LARC patients after short course radiation therapy alone. Methods: Thirty-three patients with cT2-3, N0-2, M0 rectal adenocarcinoma treated with hypo fractionated short course neoadjuvant RT (5x5 Gy) with delayed surgery (SCRTDS) were prospectively studied. All patients underwent 3 PET/CT studies at baseline, 10 days from RT end (early), and 53 days from RT end (delayed). Maximal standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) of the primary tumor were measured and recorded at each PET/CT study. We use logistic regression analysis to aggregate different measures of metabolic response to predict the pathological response in the course of SCRTDS. Results: We provide straightforward formulas to classify response and estimate the probability of being a major responder (TRG1-2) or a complete responder (TRG1) for each individual. The formulas are based on the level of TLG at the early PET and on the overall proportional reduction of TLG between baseline and delayed PET studies. Conclusions: This study demonstrates that in the course of SCRTDS it is possible to estimate the probabilities of pathological tumor responses on the basis of PET/CT with FDG. Our formulas make it possible to assess the risks associated to LARC borne by a patient in the course of SCRTDS. These risk assessments can be balanced against other health risks associated with further treatments and can therefore be used to make informed therapy adjustments during SCRTDS.
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spelling pubmed-52179442017-01-19 Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis Pecori, Biagio Lastoria, Secondo Caracò, Corradina Celentani, Marco Tatangelo, Fabiana Avallone, Antonio Rega, Daniela De Palma, Giampaolo Mormile, Maria Budillon, Alfredo Muto, Paolo Bianco, Francesco Aloj, Luigi Petrillo, Antonella Delrio, Paolo PLoS One Research Article Previous studies indicate that FDG PET/CT may predict pathological response in patients undergoing neoadjuvant chemo-radiotherapy for locally advanced rectal cancer (LARC). Aim of the current study is evaluate if pathological response can be similarly predicted in LARC patients after short course radiation therapy alone. Methods: Thirty-three patients with cT2-3, N0-2, M0 rectal adenocarcinoma treated with hypo fractionated short course neoadjuvant RT (5x5 Gy) with delayed surgery (SCRTDS) were prospectively studied. All patients underwent 3 PET/CT studies at baseline, 10 days from RT end (early), and 53 days from RT end (delayed). Maximal standardized uptake value (SUVmax), mean standardized uptake value (SUVmean) and total lesion glycolysis (TLG) of the primary tumor were measured and recorded at each PET/CT study. We use logistic regression analysis to aggregate different measures of metabolic response to predict the pathological response in the course of SCRTDS. Results: We provide straightforward formulas to classify response and estimate the probability of being a major responder (TRG1-2) or a complete responder (TRG1) for each individual. The formulas are based on the level of TLG at the early PET and on the overall proportional reduction of TLG between baseline and delayed PET studies. Conclusions: This study demonstrates that in the course of SCRTDS it is possible to estimate the probabilities of pathological tumor responses on the basis of PET/CT with FDG. Our formulas make it possible to assess the risks associated to LARC borne by a patient in the course of SCRTDS. These risk assessments can be balanced against other health risks associated with further treatments and can therefore be used to make informed therapy adjustments during SCRTDS. Public Library of Science 2017-01-06 /pmc/articles/PMC5217944/ /pubmed/28060889 http://dx.doi.org/10.1371/journal.pone.0169462 Text en © 2017 Pecori et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Pecori, Biagio
Lastoria, Secondo
Caracò, Corradina
Celentani, Marco
Tatangelo, Fabiana
Avallone, Antonio
Rega, Daniela
De Palma, Giampaolo
Mormile, Maria
Budillon, Alfredo
Muto, Paolo
Bianco, Francesco
Aloj, Luigi
Petrillo, Antonella
Delrio, Paolo
Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis
title Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis
title_full Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis
title_fullStr Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis
title_full_unstemmed Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis
title_short Sequential PET/CT with [(18)F]-FDG Predicts Pathological Tumor Response to Preoperative Short Course Radiotherapy with Delayed Surgery in Patients with Locally Advanced Rectal Cancer Using Logistic Regression Analysis
title_sort sequential pet/ct with [(18)f]-fdg predicts pathological tumor response to preoperative short course radiotherapy with delayed surgery in patients with locally advanced rectal cancer using logistic regression analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5217944/
https://www.ncbi.nlm.nih.gov/pubmed/28060889
http://dx.doi.org/10.1371/journal.pone.0169462
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