Katayama Ayaka, Toss Michael S, Parkin Matthew, Sano Takaaki, Oyama Tetsunari, Quinn Cecily M, Ellis Ian O, Rakha Emad A
Translational Medical Sciences Unit, School of Medicine, University of Nottingham, City Hospital, Nottingham, UK.
Diagnostic Pathology, Gunma University Graduate School of Medicine, Maebashi, Japan.
Histopathology. 2022 Feb;80(3):515-528. doi: 10.1111/his.14577. Epub 2021 Dec 2.
Although evaluation of nuclear morphology is important for the diagnosis and categorisation of breast lesions, the criteria used to assess nuclear atypia rely upon the subjective evaluation of several features that may result in inter- and intraobserver variation. This study aims to refine the definitions of cytonuclear features in various breast lesions.
ImageJ was used to assess the nuclear morphological features including nuclear diameter, axis length, perimeter, area, circularity and roundness in 160 breast lesions comprising ductal carcinoma in situ (DCIS), invasive breast carcinoma of no special type (IBC-NST), tubular carcinoma, usual ductal hyperplasia (UDH), columnar cell change (CCC) and flat epithelial atypia (FEA). Reference cells included normal epithelial cells, red blood cells (RBCs) and lymphocytes. Reference cells showed size differences not only between normal epithelial cells and RBCs but also between RBCs in varied-sized blood vessels. Nottingham grade nuclear pleomorphism scores 1 and 3 cut-offs in IBC-NST, compared to normal epithelial cells, were < ×1.2 and > ×1.4 that of mean maximum Feret's diameter and < ×1.6 and > ×2.4 that of mean nuclear area, respectively. Nuclear morphometrics were significantly different in low-grade IBC-NST versus tubular carcinoma, low-grade DCIS versus UDH and CCC versus FEA. No differences in the nuclear features between grade-matched DCIS and IBC-NST were identified.
This study provides a guide for the assessment of nuclear atypia in breast lesions, refines the comparison with reference cells and highlights the potential diagnostic value of image analysis tools in the era of digital pathology.
尽管核形态评估对于乳腺病变的诊断和分类很重要,但用于评估核异型性的标准依赖于对多个特征的主观评估,这可能导致观察者间和观察者内的差异。本研究旨在完善各种乳腺病变中细胞核特征的定义。
使用ImageJ评估160例乳腺病变的核形态特征,包括核直径、轴长、周长、面积、圆形度和圆度,这些病变包括导管原位癌(DCIS)、非特殊类型浸润性乳腺癌(IBC-NST)、管状癌、普通导管增生(UDH)、柱状细胞改变(CCC)和平坦上皮异型增生(FEA)。参考细胞包括正常上皮细胞、红细胞(RBC)和淋巴细胞。参考细胞不仅在正常上皮细胞和RBC之间显示出大小差异,而且在不同大小血管中的RBC之间也显示出大小差异。与正常上皮细胞相比,IBC-NST中诺丁汉分级核多形性评分为1和3的临界值分别为平均最大费雷特直径的<×1.2和>×1.4,以及平均核面积的<×1.6和>×2.4。低级别IBC-NST与管状癌、低级别DCIS与UDH以及CCC与FEA之间的核形态计量学存在显著差异。在分级匹配的DCIS和IBC-NST之间未发现核特征的差异。
本研究为乳腺病变中核异型性的评估提供了指导,完善了与参考细胞的比较,并突出了图像分析工具在数字病理学时代的潜在诊断价值。