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The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy
INTRODUCTION: The role of fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in early breast cancer treated with preoperative systemic therapy (PST) is not yet established in clinical practice. PET parameters have aroused great interest in the recent years, as non-inv...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846157/ https://www.ncbi.nlm.nih.gov/pubmed/36686832 http://dx.doi.org/10.3389/fonc.2022.976823 |
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author | Inno, Alessandro Peri, Marta Turazza, Monica Bogina, Giuseppe Modena, Alessandra Massocco, Alberto Pezzella, Modestino Valerio, Matteo Mazzola, Rosario Olivari, Laura Severi, Fabrizia Foti, Giovanni Mazzi, Cristina Marchetti, Fabiana Lunardi, Gianluigi Salgarello, Matteo Russo, Antonio Gori, Stefania |
author_facet | Inno, Alessandro Peri, Marta Turazza, Monica Bogina, Giuseppe Modena, Alessandra Massocco, Alberto Pezzella, Modestino Valerio, Matteo Mazzola, Rosario Olivari, Laura Severi, Fabrizia Foti, Giovanni Mazzi, Cristina Marchetti, Fabiana Lunardi, Gianluigi Salgarello, Matteo Russo, Antonio Gori, Stefania |
author_sort | Inno, Alessandro |
collection | PubMed |
description | INTRODUCTION: The role of fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in early breast cancer treated with preoperative systemic therapy (PST) is not yet established in clinical practice. PET parameters have aroused great interest in the recent years, as non-invasive dynamic biological markers for predicting response to PST. METHODS: In this retrospective study, we included 141 patients with stage II-III breast cancer who underwent surgery after PST. Using ROC analysis, we set optimal cutoff of FDG-PET/CT parameters predictive for pathological complete response (pCR). We investigated the correlation between FDG-PET/CT parameters and pCR, median disease-free survival (DFS), and median overall survival (mOS). RESULTS: At multivariable analysis, baseline SUVmax (high vs low: OR 9.00, CI 1.85 – 61.9, p=0.012) and Delta SUVmax (high vs low: OR 9.64, CI 1.84, 69.2, p=0.012) were significantly associated with pCR rates. Interestingly, we found that a combined analysis of the metabolic parameter Delta SUVmax with the volume-based parameter Delta MTV, may help to identify patients with pCR, especially in the subgroup of hormone receptor positive breast cancer. Delta SUVmax was also an independent predictive marker for both mDFS (high vs low: HR 0.17, 95%CI 0.05-0.58, p=0.004) and mOS (high vs. low: HR 0.19, 95%CI 0.04-0.95, p=0.029). DISCUSSION: Our results suggest that Delta SUVmax may predict survival of early BC patients treated with PST. |
format | Online Article Text |
id | pubmed-9846157 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-98461572023-01-19 The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy Inno, Alessandro Peri, Marta Turazza, Monica Bogina, Giuseppe Modena, Alessandra Massocco, Alberto Pezzella, Modestino Valerio, Matteo Mazzola, Rosario Olivari, Laura Severi, Fabrizia Foti, Giovanni Mazzi, Cristina Marchetti, Fabiana Lunardi, Gianluigi Salgarello, Matteo Russo, Antonio Gori, Stefania Front Oncol Oncology INTRODUCTION: The role of fluorodeoxyglucose (FDG) positron emission tomography/computed tomography (PET/CT) in early breast cancer treated with preoperative systemic therapy (PST) is not yet established in clinical practice. PET parameters have aroused great interest in the recent years, as non-invasive dynamic biological markers for predicting response to PST. METHODS: In this retrospective study, we included 141 patients with stage II-III breast cancer who underwent surgery after PST. Using ROC analysis, we set optimal cutoff of FDG-PET/CT parameters predictive for pathological complete response (pCR). We investigated the correlation between FDG-PET/CT parameters and pCR, median disease-free survival (DFS), and median overall survival (mOS). RESULTS: At multivariable analysis, baseline SUVmax (high vs low: OR 9.00, CI 1.85 – 61.9, p=0.012) and Delta SUVmax (high vs low: OR 9.64, CI 1.84, 69.2, p=0.012) were significantly associated with pCR rates. Interestingly, we found that a combined analysis of the metabolic parameter Delta SUVmax with the volume-based parameter Delta MTV, may help to identify patients with pCR, especially in the subgroup of hormone receptor positive breast cancer. Delta SUVmax was also an independent predictive marker for both mDFS (high vs low: HR 0.17, 95%CI 0.05-0.58, p=0.004) and mOS (high vs. low: HR 0.19, 95%CI 0.04-0.95, p=0.029). DISCUSSION: Our results suggest that Delta SUVmax may predict survival of early BC patients treated with PST. Frontiers Media S.A. 2023-01-04 /pmc/articles/PMC9846157/ /pubmed/36686832 http://dx.doi.org/10.3389/fonc.2022.976823 Text en Copyright © 2023 Inno, Peri, Turazza, Bogina, Modena, Massocco, Pezzella, Valerio, Mazzola, Olivari, Severi, Foti, Mazzi, Marchetti, Lunardi, Salgarello, Russo and Gori 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 Inno, Alessandro Peri, Marta Turazza, Monica Bogina, Giuseppe Modena, Alessandra Massocco, Alberto Pezzella, Modestino Valerio, Matteo Mazzola, Rosario Olivari, Laura Severi, Fabrizia Foti, Giovanni Mazzi, Cristina Marchetti, Fabiana Lunardi, Gianluigi Salgarello, Matteo Russo, Antonio Gori, Stefania The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy |
title | The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy |
title_full | The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy |
title_fullStr | The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy |
title_full_unstemmed | The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy |
title_short | The predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy |
title_sort | predictive and prognostic role of metabolic and volume-based parameters of positron emission tomography/computed tomography as non-invasive dynamic biological markers in early breast cancer treated with preoperative systemic therapy |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9846157/ https://www.ncbi.nlm.nih.gov/pubmed/36686832 http://dx.doi.org/10.3389/fonc.2022.976823 |
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