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Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes
The purpose of this study is to correlate quantitative T1, T2, and proton density (PD) values with breast cancer subtypes. Twenty-eight breast cancer patients underwent MRI of the breast including synthetic MRI. T1, T2, and PD values were correlated with Ki-67 and were compared between ER-positive a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501941/ https://www.ncbi.nlm.nih.gov/pubmed/36143344 http://dx.doi.org/10.3390/life12091307 |
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author | Kazama, Toshiki Takahara, Taro Kwee, Thomas C. Nakamura, Noriko Kumaki, Nobue Niikura, Naoki Niwa, Tetsu Hashimoto, Jun |
author_facet | Kazama, Toshiki Takahara, Taro Kwee, Thomas C. Nakamura, Noriko Kumaki, Nobue Niikura, Naoki Niwa, Tetsu Hashimoto, Jun |
author_sort | Kazama, Toshiki |
collection | PubMed |
description | The purpose of this study is to correlate quantitative T1, T2, and proton density (PD) values with breast cancer subtypes. Twenty-eight breast cancer patients underwent MRI of the breast including synthetic MRI. T1, T2, and PD values were correlated with Ki-67 and were compared between ER-positive and ER-negative cancers, and between Luminal A and Luminal B cancers. The effectiveness of T1, T2, and PD in differentiating the ER-negative from the ER-positive group and Luminal A from Luminal B cancers was evaluated using receiver operating characteristic analysis. Mean T2 relaxation of ER-negative cancers was significantly higher than that of ER-positive cancers (p < 0.05). The T1, T2, and PD values exhibited a strong positive correlation with Ki-67 (Pearson’s r = 0.75, 0.69, and 0.60 respectively; p < 0.001). Among ER-positive cancers, T1, T2, and PD values of Luminal A cancers were significantly lower than those of Luminal B cancers (p < 0.05). The area under the curve (AUC) of T2 for discriminating ER-negative from ER-positive cancers was 0.87 (95% CI: 0.69–0.97). The AUC of T1 for discriminating Luminal A from Luminal B cancers was 0.83 (95% CI: 0.61–0.95). In conclusion, quantitative values derived from synthetic MRI show potential for subtyping of invasive breast cancers. |
format | Online Article Text |
id | pubmed-9501941 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95019412022-09-24 Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes Kazama, Toshiki Takahara, Taro Kwee, Thomas C. Nakamura, Noriko Kumaki, Nobue Niikura, Naoki Niwa, Tetsu Hashimoto, Jun Life (Basel) Article The purpose of this study is to correlate quantitative T1, T2, and proton density (PD) values with breast cancer subtypes. Twenty-eight breast cancer patients underwent MRI of the breast including synthetic MRI. T1, T2, and PD values were correlated with Ki-67 and were compared between ER-positive and ER-negative cancers, and between Luminal A and Luminal B cancers. The effectiveness of T1, T2, and PD in differentiating the ER-negative from the ER-positive group and Luminal A from Luminal B cancers was evaluated using receiver operating characteristic analysis. Mean T2 relaxation of ER-negative cancers was significantly higher than that of ER-positive cancers (p < 0.05). The T1, T2, and PD values exhibited a strong positive correlation with Ki-67 (Pearson’s r = 0.75, 0.69, and 0.60 respectively; p < 0.001). Among ER-positive cancers, T1, T2, and PD values of Luminal A cancers were significantly lower than those of Luminal B cancers (p < 0.05). The area under the curve (AUC) of T2 for discriminating ER-negative from ER-positive cancers was 0.87 (95% CI: 0.69–0.97). The AUC of T1 for discriminating Luminal A from Luminal B cancers was 0.83 (95% CI: 0.61–0.95). In conclusion, quantitative values derived from synthetic MRI show potential for subtyping of invasive breast cancers. MDPI 2022-08-25 /pmc/articles/PMC9501941/ /pubmed/36143344 http://dx.doi.org/10.3390/life12091307 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Kazama, Toshiki Takahara, Taro Kwee, Thomas C. Nakamura, Noriko Kumaki, Nobue Niikura, Naoki Niwa, Tetsu Hashimoto, Jun Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes |
title | Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes |
title_full | Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes |
title_fullStr | Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes |
title_full_unstemmed | Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes |
title_short | Quantitative Values from Synthetic MRI Correlate with Breast Cancer Subtypes |
title_sort | quantitative values from synthetic mri correlate with breast cancer subtypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9501941/ https://www.ncbi.nlm.nih.gov/pubmed/36143344 http://dx.doi.org/10.3390/life12091307 |
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