医学
乳腺癌
生物标志物
活检
病理
癌症
核心活检
多学科方法
疾病
浸润性小叶癌
神经内分泌癌
肿瘤科
分级(工程)
内科学
神经内分泌肿瘤
癌
乳腺肿瘤
诊断生物标志物
诊断准确性
诊断试验
普通外科
鉴定(生物学)
乳腺癌
梅德林
乳腺摄影术
乳腺疾病
放射科
小叶癌
解剖病理学
医学物理学
粘蛋白
多学科团队
鉴别诊断
妇科
作者
Cecily Quinn,Puay Hoon Tan,Kimberly H. Allison,Edi Brogi,Sunil R. Lakhani,Stuart J. Schnitt,Stephen B. Fox,Shabnam Jaffer,Ayşegül A. Şahin,Roberto Salgado,Anna Sapino,E Adjei,Katherine B. Geiersbach,Thomas H. Helbich,Matteo Lambertini,C Sotiriou,Jennelle C. Hodge,Joseph D. Khoury,Bharat Rekhi,Aleš Ryška
摘要
The 6th edition of the WHO Classification of Breast Tumours introduces both major and minor changes based on recent advances in our understanding of breast biology, developments in diagnostic modalities, identification of specific molecular targets and new treatment regimens necessitating modifications to pathology reporting and tumour biomarker categorisation. This review summarises the main changes that strive towards a classification of global relevance. In invasive carcinoma, predictive factors increasingly inform modern breast cancer treatment. The 6th edition provides an update on HER2 reporting categories following the DESTINY-Breast 04 and 06 trials. Terminologies used to classify invasive tumours are clarified, with the term 'variant' now reserved for molecular/genetic alterations. Invasive lobular carcinoma (ILC) with extracellular mucin is recognised as a new diagnostic entity with prognostic implications. The diagnosis of mucinous carcinoma (MC) is reserved for mucin secreting carcinomas with grade 1 or 2 morphology and a favourable biomarker profile. The diagnosis of malignant phyllodes tumours requires only four of the original five adverse histological criteria. Classification of neuroendocrine tumours (NETs) is revised, recognising that the unified model, promoted in the 5th edition, is difficult to apply to the breast. New approaches to the classification of adenomyoepithelioma are discussed but the 5th edition system is broadly retained. A new section on 'Small Diagnostic Samples' outlines the merits of non-operative biopsy diagnosis, the B coding system and the importance of multidisciplinary review. Changes to diagnostic practice and the emerging role of artificial intelligence, with advantages and challenges, are discussed in a new section on 'Digital Pathology'.
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