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Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer
This retrospective study examined magnetic resonance imaging (MRI)–derived tumor sphericity (SPH) as a quantitative measure of breast tumor morphology, and investigated the association between SPH and reader-assessed morphological pattern (MP). In addition, association of SPH with pathologic complet...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Grapho Publications, LLC
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289243/ https://www.ncbi.nlm.nih.gov/pubmed/32548299 http://dx.doi.org/10.18383/j.tom.2020.00016 |
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author | Li, Wen Newitt, David C. Yun, Bo La Jones, Ella F. Arasu, Vignesh Wilmes, Lisa J. Gibbs, Jessica Nguyen, Alex Anh-Tu Onishi, Natsuko Kornak, John Joe, Bonnie N. Esserman, Laura J. Hylton, Nola M. |
author_facet | Li, Wen Newitt, David C. Yun, Bo La Jones, Ella F. Arasu, Vignesh Wilmes, Lisa J. Gibbs, Jessica Nguyen, Alex Anh-Tu Onishi, Natsuko Kornak, John Joe, Bonnie N. Esserman, Laura J. Hylton, Nola M. |
author_sort | Li, Wen |
collection | PubMed |
description | This retrospective study examined magnetic resonance imaging (MRI)–derived tumor sphericity (SPH) as a quantitative measure of breast tumor morphology, and investigated the association between SPH and reader-assessed morphological pattern (MP). In addition, association of SPH with pathologic complete response was evaluated in patients enrolled in an adaptively randomized clinical trial designed to rapidly identify new agents for breast cancer. All patients underwent MRI examinations at multiple time points during the treatment. SPH values from pretreatment (T0) and early-treatment (T1) were investigated in this study. MP on T0 dynamic contrast-enhanced MRI was ranked from 1 to 5 in 220 patients. Mean SPH values decreased with the increased order of MP. SPH was higher in patients with pathologic complete response than in patients without (difference at T0: 0.04, 95% confidence interval [CI]: 0.02–0.05, P < .001; difference at T1: 0.03, 95% CI: 0.02–0.04, P < .001). The area under the receiver operating characteristic curve was estimated as 0.61 (95% CI, 0.57–0.65) at T0 and 0.58 (95% CI, 0.55–0.62) at T1. When the analysis was performed by cancer subtype defined by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status, highest area under the receiver operating characteristic curve were observed in HR−/HER2+: 0.67 (95% CI, 0.54–0.80) at T0, and 0.63 (95% CI, 0.51–0.76) at T1. Tumor SPH showed promise to quantify MRI MPs and as a biomarker for predicting treatment outcome at pre- or early-treatment time points. |
format | Online Article Text |
id | pubmed-7289243 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Grapho Publications, LLC |
record_format | MEDLINE/PubMed |
spelling | pubmed-72892432020-06-15 Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer Li, Wen Newitt, David C. Yun, Bo La Jones, Ella F. Arasu, Vignesh Wilmes, Lisa J. Gibbs, Jessica Nguyen, Alex Anh-Tu Onishi, Natsuko Kornak, John Joe, Bonnie N. Esserman, Laura J. Hylton, Nola M. Tomography Research Articles This retrospective study examined magnetic resonance imaging (MRI)–derived tumor sphericity (SPH) as a quantitative measure of breast tumor morphology, and investigated the association between SPH and reader-assessed morphological pattern (MP). In addition, association of SPH with pathologic complete response was evaluated in patients enrolled in an adaptively randomized clinical trial designed to rapidly identify new agents for breast cancer. All patients underwent MRI examinations at multiple time points during the treatment. SPH values from pretreatment (T0) and early-treatment (T1) were investigated in this study. MP on T0 dynamic contrast-enhanced MRI was ranked from 1 to 5 in 220 patients. Mean SPH values decreased with the increased order of MP. SPH was higher in patients with pathologic complete response than in patients without (difference at T0: 0.04, 95% confidence interval [CI]: 0.02–0.05, P < .001; difference at T1: 0.03, 95% CI: 0.02–0.04, P < .001). The area under the receiver operating characteristic curve was estimated as 0.61 (95% CI, 0.57–0.65) at T0 and 0.58 (95% CI, 0.55–0.62) at T1. When the analysis was performed by cancer subtype defined by hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) status, highest area under the receiver operating characteristic curve were observed in HR−/HER2+: 0.67 (95% CI, 0.54–0.80) at T0, and 0.63 (95% CI, 0.51–0.76) at T1. Tumor SPH showed promise to quantify MRI MPs and as a biomarker for predicting treatment outcome at pre- or early-treatment time points. Grapho Publications, LLC 2020-06 /pmc/articles/PMC7289243/ /pubmed/32548299 http://dx.doi.org/10.18383/j.tom.2020.00016 Text en © 2020 The Authors. Published by Grapho Publications, LLC http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Research Articles Li, Wen Newitt, David C. Yun, Bo La Jones, Ella F. Arasu, Vignesh Wilmes, Lisa J. Gibbs, Jessica Nguyen, Alex Anh-Tu Onishi, Natsuko Kornak, John Joe, Bonnie N. Esserman, Laura J. Hylton, Nola M. Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer |
title | Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer |
title_full | Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer |
title_fullStr | Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer |
title_full_unstemmed | Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer |
title_short | Tumor Sphericity Predicts Response in Neoadjuvant Chemotherapy for Invasive Breast Cancer |
title_sort | tumor sphericity predicts response in neoadjuvant chemotherapy for invasive breast cancer |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7289243/ https://www.ncbi.nlm.nih.gov/pubmed/32548299 http://dx.doi.org/10.18383/j.tom.2020.00016 |
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