Șerbănescu Mircea-Sebastian, Bungărdean Raluca Maria, Georgiu Carmen, Crișan Maria
Department of Medical Informatics and Biostatistics, University of Medicine and Pharmacy of Craiova, 200349 Craiova, Romania.
Department of Pathology, Iuliu Haţieganu University of Medicine and Pharmacy, 400012 Cluj-Napoca, Romania.
Diagnostics (Basel). 2022 Jul 5;12(7):1636. doi: 10.3390/diagnostics12071636.
Basal cell carcinoma (BCC) is the most frequent cancer of the skin and comprises low-risk and high-risk subtypes. We selected a low-risk subtype, namely, nodular (N), and a high-risk subtype, namely, micronodular (MN), with the aim to identify differences between them using a classical morphometric approach through a gray-level co-occurrence matrix and histogram analysis, as well as an approach based on deep learning semantic segmentation. From whole-slide images, pathologists selected 216 N and 201 MN BCC images. The two groups were then manually segmented and compared based on four morphological areas: center of the BCC islands (tumor, T), peripheral palisading of the BCC islands (touching tumor, TT), peritumoral cleft (PC) and surrounding stroma (S). We found that the TT pattern varied the least, while the PC pattern varied the most between the two subtypes. The combination of two distinct analysis approaches yielded fresh insights into the characterization of BCC, and thus, we were able to describe two different morphological patterns for the T component of the two subtypes.
基底细胞癌（BCC）是最常见的皮肤癌，包括低风险和高风险亚型。我们选择了一种低风险亚型，即结节型（N），和一种高风险亚型，即微结节型（MN），旨在通过灰度共生矩阵和直方图分析的经典形态测量方法以及基于深度学习语义分割的方法来识别它们之间的差异。病理学家从全切片图像中选取了216张N型和201张MN型BCC图像。然后对这两组图像进行手动分割，并基于四个形态学区域进行比较：BCC岛中心（肿瘤，T）、BCC岛周边栅栏状结构（接触肿瘤，TT）、肿瘤周围裂隙（PC）和周围基质（S）。我们发现，在两种亚型之间，TT模式变化最小，而PC模式变化最大。两种不同分析方法的结合为BCC的特征描述提供了新的见解，因此，我们能够描述两种亚型T成分的两种不同形态模式。
