Hu Juanjuan, Ke Junli, Xu Shufeng, Pei Lei, Cao Lulu, Zhou Huanhao, Zhu Xisong
Department of Radiology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, 100 Minjiang Avenue, Kecheng District, Quzhou, 324000, P.R. China.
Department of Pathology, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou People's Hospital, Quzhou, P.R. China.
BMC Med Imaging. 2024 Dec 5;24(1):332. doi: 10.1186/s12880-024-01518-8.
The objective of this study was to investigate the association between focal breast edema (FBE) and adjacent vessel sign (AVS) with tumor size, histologic grade, lymphovascular invasion, axillary lymph node status, Ki-67 index, and molecular subtype in breast cancer. These findings have provided valuable insights into the biological characteristics and prognosis of mass-type invasive ductal carcinoma (M-IDC).
We retrospectively included patients with M-IDC between January 2016 and December 2021. FBE was evaluated using T2-weighted sequence. AVS was assessed using maximum-intensity projection images obtained using early dynamic contrast-enhanced magnetic resonance imaging. The breast peritumor score (BPS) was defined as follows: BPS 1, absence of both edema and AVS; BPS 2, AVS without edema; BPS 3, AVS with peritumoral edema; BPS 4, AVS with prepectoral edema; and BPS 5, AVS with subcutaneous edema. The correlation between different BPS scores and clinicopathological variables was examined using Kendall's tau-b correlation coefficient. The DeLong test was used to compare the performances of three clinicopathological models combined with peritumoral features (FBE, AVS, and BPS) in predicting luminal A-like M-IDC.
In 228 patients with M-IDC, BPS was positively correlated with tumor size, histologic grade, lymphovascular invasion, axillary lymph node status, Ki-67 index, and negatively correlated with estrogen receptor expression (all P < 0.05). Furthermore, BPS 1 was more likely to be present in patients with luminal A-like breast cancer (P < 0.001). Among the three prediction models, the clinicopathological model combined with the BPS model demonstrated superior diagnostic performance for luminal A-like breast cancer.
The BPS is a valuable, non-invasive biomarker for assessing the aggressiveness of M-IDC and can facilitate treatment planning.
本研究的目的是探讨局灶性乳腺水肿(FBE)和相邻血管征(AVS)与乳腺癌的肿瘤大小、组织学分级、淋巴管浸润、腋窝淋巴结状态、Ki-67指数及分子亚型之间的关联。这些发现为肿块型浸润性导管癌(M-IDC)的生物学特征和预后提供了有价值的见解。
我们回顾性纳入了2016年1月至2021年12月期间的M-IDC患者。使用T2加权序列评估FBE。使用早期动态对比增强磁共振成像获得的最大强度投影图像评估AVS。乳腺肿瘤周围评分(BPS)定义如下:BPS 1,无水肿和AVS;BPS 2,有AVS但无水肿;BPS 3,有AVS且伴有肿瘤周围水肿;BPS 4,有AVS且伴有胸肌前水肿;BPS 5,有AVS且伴有皮下水肿。使用肯德尔tau-b相关系数检验不同BPS评分与临床病理变量之间的相关性。使用德龙检验比较三种结合肿瘤周围特征(FBE、AVS和BPS)的临床病理模型预测管腔A型M-IDC的性能。
在228例M-IDC患者中,BPS与肿瘤大小、组织学分级、淋巴管浸润、腋窝淋巴结状态、Ki-67指数呈正相关,与雌激素受体表达呈负相关(均P < 0.05)。此外,BPS 1更可能出现在管腔A型乳腺癌患者中(P < 0.001)。在三种预测模型中,结合BPS模型的临床病理模型对管腔A型乳腺癌显示出更好的诊断性能。
BPS是评估M-IDC侵袭性的一种有价值的非侵入性生物标志物,有助于治疗方案的制定。