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Histopathology of thymectomy specimens from the MGTX-trial: Entropy analysis as strategy to quantify spatial heterogeneity of lymphoid follicle and fat distribution

机译:MGTX试验的胸腺切除标本的组织病理学:熵分析作为量化淋巴滤泡和脂肪分布空间异质性的策略

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摘要

The thymectomy specimens from the “thymectomy trial in non-thymomatous myasthenia gravis patients receiving prednisone therapy” (MGTX) underwent rigid and comprehensive work-up, which permits analysis of the spatial distribution of histological and immunohistological features. This analysis revealed strong intra- and inter-case variability. While many histological features (e.g. median percent fat content among different specimens) can easily be correlated with clinical parameters, intra-case spatial variability of histological features has yet defied quantification and statistical evaluation. To overcome this gap in digital pathology, we here propose intra-case entropy of measured histological features in all available slides of a given thymectomy specimen as a quantitative marker of spatial histological heterogeneity. Calculation of entropy led to one value per specimen and histological feature. Through these ‘entropy values’ the so far neglected degree of spatial histological heterogeneity could be fed into statistical analyses, extending the scope of clinico-pathological correlations.
机译:对“接受强的松治疗的非胸腺性重症肌无力患者的胸腺切除术试验”(MGTX)的胸腺切除标本进行了严格而全面的检查,从而可以分析组织学和免疫组织学特征的空间分布。这项分析显示出案例之间和案例之间的强烈差异。尽管许多组织学特征(例如不同标本中脂肪含量的中位数百分比)可以很容易地与临床参数相关联,但组织学特征在病例内的空间变异性仍缺乏定量和统计评估的能力。为了克服数字病理学中的这一空白,我们在此建议在给定的胸腺切除术标本的所有可用玻片中对组织学特征进行测量的病例内熵,作为空间组织学异质性的定量标记。熵的计算导致每个标本和组织学特征值一个。通过这些“熵值”,可以将迄今为止被忽略的空间组织学异质性程度进行统计分析,从而扩大临床病理相关性的范围。

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