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Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy

BACKGROUND: The usefulness of (18)F-fluorodeoxyglucose-positron emission tomography/computed tomography for evaluating the treatment efficacy of breast cancers is well-established; however, the predictive values of parameters such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG) rem...

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Autores principales: Higuchi, Tomoko, Fujimoto, Yukie, Ozawa, Hiromi, Bun, Ayako, Fukui, Reiko, Miyagawa, Yoshimasa, Imamura, Michiko, Kitajima, Kazuhiro, Yamakado, Koichiro, Miyoshi, Yasuo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545174/
https://www.ncbi.nlm.nih.gov/pubmed/30941655
http://dx.doi.org/10.1245/s10434-019-07325-8
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author Higuchi, Tomoko
Fujimoto, Yukie
Ozawa, Hiromi
Bun, Ayako
Fukui, Reiko
Miyagawa, Yoshimasa
Imamura, Michiko
Kitajima, Kazuhiro
Yamakado, Koichiro
Miyoshi, Yasuo
author_facet Higuchi, Tomoko
Fujimoto, Yukie
Ozawa, Hiromi
Bun, Ayako
Fukui, Reiko
Miyagawa, Yoshimasa
Imamura, Michiko
Kitajima, Kazuhiro
Yamakado, Koichiro
Miyoshi, Yasuo
author_sort Higuchi, Tomoko
collection PubMed
description BACKGROUND: The usefulness of (18)F-fluorodeoxyglucose-positron emission tomography/computed tomography for evaluating the treatment efficacy of breast cancers is well-established; however, the predictive values of parameters such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG) remain unknown. METHODS: This study examined 199 breast cancers treated with primary systemic chemotherapy (PSC) followed by operation, and determined the values of maximum standardized uptake value (SUV(max)), peak SUV (SUV(peak)), mean SUV (SUV(mean)), MTV, and TLG at baseline. Among these cases, data on early changes in these metabolic parameters in 70 breast cancers were also assessed. RESULTS: A pathological complete response (pCR) was achieved in 64 breast cancers. Breast cancers with low MTV at baseline had a significantly higher pCR rate than breast cancers with high MTV (47.9% vs. 23.4%; p = 0.0005). High reduction rates (∆) of SUV(max) (p = 0.0001), SUV(peak) (p = 0.0001), and SUV(mean) (p < 0.0001) resulted in an increased pCR compared with those for low ∆. The pCR rate was highest for the combination of low MTV and high ∆SUV(mean) (86.7%), and lowest for high MTV and low ∆SUV(mean) (15.4%); the remaining combinations were intermediate (58.6%; p < 0.0001). The combination of low MTV at baseline and high ∆SUV(mean) was a significant and independent predictor for pCR (odds ratio 28.63; 95% confidence interval 1.94–422.42; p = 0.0146) in multivariable analysis. CONCLUSIONS: Low levels of MTV at baseline and a high reduction of SUV(mean) after PSC was significantly associated with pCR. These findings suggest the usefulness of these metabolic parameters for predicting the treatment efficacy of breast cancers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1245/s10434-019-07325-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-65451742019-06-19 Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy Higuchi, Tomoko Fujimoto, Yukie Ozawa, Hiromi Bun, Ayako Fukui, Reiko Miyagawa, Yoshimasa Imamura, Michiko Kitajima, Kazuhiro Yamakado, Koichiro Miyoshi, Yasuo Ann Surg Oncol Breast Oncology BACKGROUND: The usefulness of (18)F-fluorodeoxyglucose-positron emission tomography/computed tomography for evaluating the treatment efficacy of breast cancers is well-established; however, the predictive values of parameters such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG) remain unknown. METHODS: This study examined 199 breast cancers treated with primary systemic chemotherapy (PSC) followed by operation, and determined the values of maximum standardized uptake value (SUV(max)), peak SUV (SUV(peak)), mean SUV (SUV(mean)), MTV, and TLG at baseline. Among these cases, data on early changes in these metabolic parameters in 70 breast cancers were also assessed. RESULTS: A pathological complete response (pCR) was achieved in 64 breast cancers. Breast cancers with low MTV at baseline had a significantly higher pCR rate than breast cancers with high MTV (47.9% vs. 23.4%; p = 0.0005). High reduction rates (∆) of SUV(max) (p = 0.0001), SUV(peak) (p = 0.0001), and SUV(mean) (p < 0.0001) resulted in an increased pCR compared with those for low ∆. The pCR rate was highest for the combination of low MTV and high ∆SUV(mean) (86.7%), and lowest for high MTV and low ∆SUV(mean) (15.4%); the remaining combinations were intermediate (58.6%; p < 0.0001). The combination of low MTV at baseline and high ∆SUV(mean) was a significant and independent predictor for pCR (odds ratio 28.63; 95% confidence interval 1.94–422.42; p = 0.0146) in multivariable analysis. CONCLUSIONS: Low levels of MTV at baseline and a high reduction of SUV(mean) after PSC was significantly associated with pCR. These findings suggest the usefulness of these metabolic parameters for predicting the treatment efficacy of breast cancers. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1245/s10434-019-07325-8) contains supplementary material, which is available to authorized users. Springer International Publishing 2019-04-02 2019 /pmc/articles/PMC6545174/ /pubmed/30941655 http://dx.doi.org/10.1245/s10434-019-07325-8 Text en © The Author(s) 2019 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Breast Oncology
Higuchi, Tomoko
Fujimoto, Yukie
Ozawa, Hiromi
Bun, Ayako
Fukui, Reiko
Miyagawa, Yoshimasa
Imamura, Michiko
Kitajima, Kazuhiro
Yamakado, Koichiro
Miyoshi, Yasuo
Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy
title Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy
title_full Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy
title_fullStr Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy
title_full_unstemmed Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy
title_short Significance of Metabolic Tumor Volume at Baseline and Reduction of Mean Standardized Uptake Value in (18)F-FDG-PET/CT Imaging for Predicting Pathological Complete Response in Breast Cancers Treated with Preoperative Chemotherapy
title_sort significance of metabolic tumor volume at baseline and reduction of mean standardized uptake value in (18)f-fdg-pet/ct imaging for predicting pathological complete response in breast cancers treated with preoperative chemotherapy
topic Breast Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6545174/
https://www.ncbi.nlm.nih.gov/pubmed/30941655
http://dx.doi.org/10.1245/s10434-019-07325-8
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