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Risk Factors for Lymphovascular Invasion in Invasive Ductal Carcinoma Based on Clinical and Preoperative Breast MRI Features: a Retrospective Study.
Zhang, Cici; Liang, Zhiping; Feng, Youzhen; Xiong, Yuchao; Manwa, Chan; Zhou, Quan.
Afiliación
  • Zhang C; Department of Radiology, The Third Affiliated Hospital, Southern Medical University, Address, No. 183, West Zhongshan Avenue, TianHe District Guangzhou, GuangDong China; Department of Radiology, Guangzhou Red Cross Hospital, Guangzhou, China.
  • Liang Z; Department of Radiology, Guangzhou Red Cross Hospital, Guangzhou, China.
  • Feng Y; Medical Imaging Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
  • Xiong Y; Department of Radiology, Guangzhou Red Cross Hospital, Guangzhou, China.
  • Manwa C; Department of Pediatrics, Kiang Wu Hospital, Macau, China.
  • Zhou Q; Department of Radiology, The Third Affiliated Hospital, Southern Medical University, Address, No. 183, West Zhongshan Avenue, TianHe District Guangzhou, GuangDong China. Electronic address: zhouquan3777@smu.edu.cn.
Acad Radiol ; 30(8): 1620-1627, 2023 08.
Article en En | MEDLINE | ID: mdl-36414494
ABSTRACT
RATIONALE AND

OBJECTIVES:

Lymphovascular invasion (LVI) plays an important role in the prediction of metastasis and prognosis in breast cancer (BC) patients. The present study assessed correlations between preoperative breast MRI, clinical features, and LVI in patients with invasive ductal carcinoma (IDC) and identified risk factors based on these correlation factors. MATERIALS AND

METHODS:

Patients confirmed with IDC between 01/2012 and 12/2021 were retrospectively reviewed at our hospital. A total of 5 clinical and 14 MRI features to characterize tumours were extracted. LVI evaluated in hematoxylin and eosin sections. T-test and chi-square tests were used to compare the differences in clinical and MRI features between the LVI positive and negative groups. The associations between individual features and LVI were analysed by univariable logistic regression analysis, and risk factors for LVI were identified by multivariable logistic regression analysis based on these correlation factors.

RESULTS:

This study included 353 patients with IDC, including 130 with positive LVI. Age, CEA, CA-153, amount of fibroglandular tissue (FGT), background parenchymal enhancement, tumour size, shape, skin thickening, nipple retraction, adjacent vessel sign, and axillary lymph node (ALN) size in the LVI positive group were significantly different from the LVI negative group (all p<0.05). Multivariate logistic regression analysis revealed that age (odds ratio OR = 1.030), CA-153 (OR = 1.018), heterogeneous FGT (OR = 2.484), shape (OR = 2.157), and ALN size (OR = 1.051) were risk factors for LVI (all p<0.05).

CONCLUSION:

Preoperative breast MRI and clinical features correlated with LVI, age, CA-153, heterogeneous FGT, shape, and ALN size are risk factors for LVI in patients with IDC.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Carcinoma Ductal Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Imagen por Resonancia Magnética / Carcinoma Ductal Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Acad Radiol Asunto de la revista: RADIOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: China
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