超声在乳腺癌淋巴结状态前处理评价中的作用:系统综述

Mayank Bhasin, A. Arora
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摘要

目的:本系统综述旨在分析腋窝超声(USG)对乳腺癌患者正常与异常淋巴结(LNs)鉴别的疗效,并考虑不同的诊断标准。背景:乳腺癌腋窝淋巴结转移的鉴别是影响乳腺癌预后的重要因素之一,影响手术方案和术后肿瘤处理。检索结果:在PubMed中使用以下条目进行检索:“超声”[Mesh]、“腋窝”[Mesh]和“乳腺肿瘤”[Mesh]。回顾性分析共纳入34项研究。根据所研究的LN特征,将研究分为大小、皮质厚度、门部变化、长轴与短轴比(L/S比)、多种形态因素组合、形态与大小结合6个小标题。LN大小的敏感性和特异性分别为49% ~ 95%、34% ~ 97.4%;皮层厚度35 ~ 96%,36 ~ 92%;希拉尔变化24%到92%,23%到100%;L/S比65 ~ 100%,18 ~ 65%;形态学特征26 ~ 94%,76 ~ 100%;形态和大小的组合分别为18%到100%,50%到100%。结论:USG在腋窝分期预处理中的作用已被广泛研究。不同的诊断标准被用于定义异常LN,这导致不同研究之间难以比较。临床意义:结合形态学特征,结合淋巴结大小、L/S比、皮质、门门异常等多种标准,USG对乳腺癌患者腋窝的预处理评价准确率最高,假阴性率最低。
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Role of Ultrasound in Pretreatment Evaluation of Lymph Node Status in Carcinoma Breast: A Systematic Review
Aim: This systematic review aimed to analyze efficacy of axillary ultrasonography (USG) in differentiating normal from abnormal lymph nodes (LNs) in breast cancer patients, taking into account the different criteria used. Background: Identification of pretreatment axillary LN metastasis is one of the most important prognostic factors in breast cancer, and it affects the surgical plan and oncological management after surgery. Review results: A PubMed search was made using the following items: “Ultrasonography” [Mesh] AND “Axilla” [Mesh] AND “Breast Neoplasms” [Mesh]. A total of 34 studies were included in the review analysis. Studies were divided according to the LN feature studied into six subheadings which include size, cortex thickness, hilum changes, long axis-to-short axis ratio (L/S ratio), combination of multiple morphological factors, and combination of both morphology and size. For LN size, sensitivity and specificity ranged from 49 to 95%, 34 to 97.4%; cortical thickness 35 to 96%, 36 to 92%; hilar changes 24 to 92%, 23 to 100%; L/S ratio 65 to 100%, 18 to 65%; morphological features 26 to 94%, 76 to 100%; and combination of both morphological and size 18 to 100%, 50 to 100%, respectively. Conclusion: Role of USG in pretreatment axillary staging has been extensively studied. Various diagnostic criteria have been used for defining abnormal LN, which leads to difficult comparisons between various studies. Clinical significance: Pretreatment evaluation of axilla with USG, using multiple criteria, like LN size, L/S ratio, cortical, and hilar abnormalities in combination with morphological features, gave the best accuracy for detection of abnormal nodes and lowest false-negative rates in breast cancer patients.
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