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首页> 外文期刊>Tumour biology : >Nuclear shape descriptors by automated morphometry may distinguish aggressive variants of squamous cell carcinoma from relatively benign skin proliferative lesions: a pilot study
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Nuclear shape descriptors by automated morphometry may distinguish aggressive variants of squamous cell carcinoma from relatively benign skin proliferative lesions: a pilot study

机译:通过自动形态计量学的核形状描述子可以将鳞状细胞癌的侵袭性变体与相对良性的皮肤增生性病变区分开:一项初步研究

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We evaluated whether degrees of dysplasia may be consistently accessed in an automatic fashion, using different kinds of non-melanoma skin cancer (NMSC) as a validatory model. Namely, we compared Bowen disease, actinic keratosis, basal cell carcinoma, low-grade squamous cell carcinoma, and invasive squamous cell carcinoma. We hypothesized that characterizing the shape of nuclei may be important to consistently diagnose the aggressiveness of a skin tumor. While basal cell carcinoma is comparatively relatively benign, management of squamous cell carcinoma is controversial because of its potential to recur and intraoperative dilemma regarding choice of the margin or the depth for the excision. We provide evidence here that progressive nuclear dysplasia may be automatically estimated through the thresholded images of skin cancer and quantitative parameters estimated to provide a quasi-quantitative data, which can thenceforth guide the management of the particular cancer. For circularity, averaging more than 2500 nuclei in each group estimated the means +/- SD as 0.8 +/- 0.007 vs. 0.78 +/- 0.0063 vs. 0.42 +/- 0.014 vs. 0.63 +/- 0.02 vs. 0.51 +/- 0.02 (F = 318063.56, p < 0.0001, one-way analyses of variance). The mean aspect ratios were (means +/- SD) 0.97 +/- 0.0014 vs. 0.95 +/- 0.002 vs. 0.38 +/- 0.018 vs. 0.84 +/- 0.0035 vs. 0.74 +/- 0.019 (F = 1022631.931, p < 0.0001, one-way analyses of variance). The Feret diameters averaged over 2500 nuclei in each group were the following: 1 +/- 0.0001 vs. 0.9 +/- 0.002 vs. 5 +/- 0.031 vs. 1.5 +/- 0.01 vs. 1.9 +/- 0.004 (F = 33105614.194, p < 0.0001, one-way analyses of variance). Multivariate analyses of composite parameters potentially detect aggressive variants of squamous cell carcinoma as the most dysplastic form, in comparison to locally occurring squamous cell carcinoma and basal cell carcinoma, or benign skin lesions.
机译:我们使用不同种类的非黑色素瘤皮肤癌(NMSC)作为验证模型,评估了是否可以自动方式持续访问异型增生程度。即,我们比较了鲍文病,光化性角化病,基底细胞癌,低度鳞状细胞癌和浸润性鳞状细胞癌。我们假设表征细胞核形状对于持续诊断皮肤肿瘤的侵袭性可能很重要。尽管基底细胞癌相对较温和,但鳞状细胞癌的治疗仍存在争议,因为其复发的可能性以及术中选择切除的切缘或深度的两难处境。我们在此提供证据,可以通过皮肤癌的阈值图像和估计的定量参数自动估计进行性核不典型增生,以提供准定量数据,从而可以指导特定癌症的治疗。对于圆度而言,每组平均超过2500个核估计平均值+/- SD为0.8 +/- 0.007对0.78 +/- 0.0063对0.42 +/- 0.014对0.63 +/- 0.02对0.51 + / -0.02(F = 318063.56,p <0.0001,方差单向分析)。平均纵横比为(平均值+/- SD)0.97 +/- 0.0014对0.95 +/- 0.002对0.38 +/- 0.018对0.84 +/- 0.0035对0.74 +/- 0.019(F = 1022631.931, p <0.0001,单向方差分析)。每组2500个核的平均费雷特直径如下:1 +/- 0.0001 vs. 0.9 +/- 0.002 vs. 5 +/- 0.031 vs. 1.5 +/- 0.01 vs. 1.9 +/- 0.004(F = 33105614.194,p <0.0001,方差单向分析)。与局部发生的鳞状细胞癌和基底细胞癌或良性皮肤病变相比,复合参数的多变量分析有可能将鳞状细胞癌的侵袭性变体检测为最不典型的增生形式。

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