Seno Medical Instruments, 8023 Vantage Dr. #1000, San Antonio, TX, 78230, USA.
Department of Radiology, Radboud University Medical Center, Geert Grooteplein Zuid 10, 6525 GA, Nijmegen, The Netherlands.
Eur Radiol. 2019 Dec;29(12):6728-6740. doi: 10.1007/s00330-019-06262-0. Epub 2019 May 27.
This study was conducted in order to investigate the role of gray-scale ultrasound (US) and optoacoustic imaging combined with gray-scale ultrasound (OA/US) to better differentiate between breast cancer molecular subtypes.
All 67 malignant masses included in the Maestro trial were retrospectively reviewed to compare US and OA/US feature scores and histopathological findings. Kruskal-Wallis tests were used to analyze the relationship between US and OA/US features and molecular subtypes of breast cancer. If a significant relationship was found, additional Wilcoxon-Mann-Whitney tests were used to identify the differences between molecular subtype groups.
US sound transmission helped to differentiate between LUMA and LUMB, LUMB and TNBC, and LUMB and all other molecular subtypes combined (p values < 0.05). Regarding OA/US features, the sum of internal features helped to differentiate between TNBC and HER2-enriched subtypes (p = 0.049). Internal vessels (p = 0.025), sum of all internal features (p = 0.019), and sum of internal and external features (p = 0.028) helped to differentiate between LUMA and LUMB. All internal features, the sum of all internal features, the sum of all internal and external features, and the ratio of internal and external features helped to differentiate between LUMA and TNBC. The same features also helped to differentiate between LUMA and TNBC from other molecular subtypes (p values < 0.05).
The use of OA/US might help radiologists to better differentiate between breast cancer molecular subtypes. Further studies need to be carried out in order to validate these results.
• The combination of functional and morphologic information provided by optoacoustic imaging (OA) combined with gray-scale US helped to differentiate between breast cancer molecular subtypes.
本研究旨在探讨灰阶超声（US）和光声成像（OA）联合灰阶超声（OA/US）在更好地区分乳腺癌分子亚型方面的作用。
回顾性分析 Maestro 试验中纳入的所有 67 个恶性肿块，比较 US 和 OA/US 特征评分与组织病理学结果。采用 Kruskal-Wallis 检验分析 US 和 OA/US 特征与乳腺癌分子亚型之间的关系。如果存在显著关系，则采用 Wilcoxon-Mann-Whitney 检验进一步比较各分子亚型组之间的差异。
US 声传输有助于区分 LUMA 和 LUMB、LUMB 和 TNBC 以及 LUMB 和所有其他分子亚型的组合（p 值均＜0.05）。OA/US 特征方面，内部特征之和有助于区分 TNBC 和 HER2 富集亚型（p=0.049）。内部血管（p=0.025）、所有内部特征之和（p=0.019）和内部及外部特征之和（p=0.028）有助于区分 LUMA 和 LUMB。所有内部特征、所有内部特征之和、所有内部和外部特征之和以及内部和外部特征之比有助于区分 LUMA 和 TNBC。同样的特征也有助于区分 LUMA 和 TNBC 与其他分子亚型（p 值均＜0.05）。
OA/US 的使用可能有助于放射科医生更好地区分乳腺癌分子亚型。需要进一步开展研究以验证这些结果。
• 光声成像（OA）联合灰阶超声提供的功能和形态信息的组合有助于区分乳腺癌分子亚型。
