Digital Pathology in the Detection of Infectious Microorganisms: An Evaluation of Its Strengths and Weaknesses Across a Panel of Immunohistochemical and Histochemical Stains Routinely Used in Diagnostic Surgical Pathology.

Mehrvash Haghighi, Clare Bryce, John D Paulsen, Shafinaz Hussein, Brandon Veremis, Christian Salib, Roshanak Alialy, Mega Lahori, Yansheng Hao, Yuanxin Liang, Arnold Szporn, William Westra
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Abstract

Context.—: The diagnosis of some infectious diseases requires their identification in tissue specimens. As institutions adopt digital pathology for primary diagnosis, the limits of microorganism detection from digital images must be delineated.

Objective.—: To assess the reliability of microorganism detection from digitized images of histochemical and immunohistochemical stains commonly used in pathology.

Design.—: Original glass slides from 620 surgical pathology cases evaluated for the presence of infectious microorganisms were digitized. Immunohistochemical stains included those for herpes simplex virus (n = 100), cytomegalovirus (n = 100), Helicobacter pylori (n = 100), and spirochetes (n = 80). Histochemical stains included mucicarmine for Cryptococcus spp (n = 20), Grocott methenamine silver for fungi (n = 100), Giemsa for H pylori (n = 100), and Ziehl-Neelsen for acid-fast bacilli (n = 20). The original diagnosis based on the glass slides was regarded as the reference standard. Six pathologists reviewed the digital images.

Results.—: Digital review was generally associated with high (ie, ≥90%) specificity and positive predictive value owing to a low percentage of false-positive reads, whereas a high percentage of false negatives contributed to low sensitivity and negative predictive value for many stains. Fleiss κ showed substantial interobserver agreement in the interpretation of Grocott methenamine silver and immunostains for herpes simplex virus, H pylori, and cytomegalovirus; moderate agreement for spirochete, Ziehl-Neelsen, and mucicarmine; and poor agreement for Giemsa.

Conclusions.—: Digital immunohistochemistry generally outperforms histochemical stains for microorganism detection. Digital interpretation of Ziehl-Neelsen and mucicarmine stains is associated with low scores for interrater reliability, accuracy, sensitivity, and negative predictive value such that it should not substitute for conventional review of glass slides.

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数字病理学在传染性微生物检测中的应用:评估在外科病理诊断中常规使用的免疫组化和组织化学染色的优缺点。
背景某些传染病的诊断需要从组织标本中进行鉴定。随着机构采用数字病理学进行初级诊断,必须明确从数字图像中检测微生物的局限性:评估从病理学常用组织化学和免疫组化染色的数字化图像中检测微生物的可靠性:对 620 例手术病理病例的原始玻璃切片进行数字化处理,以评估是否存在感染性微生物。免疫组化染色包括单纯疱疹病毒(100 例)、巨细胞病毒(100 例)、幽门螺旋杆菌(100 例)和螺旋体(80 例)。组织化学染色包括隐球菌的粘菌素染色(n = 20)、真菌的 Grocott methenamine silver 染色(n = 100)、幽门螺杆菌的 Giemsa 染色(n = 100)和耐酸杆菌的 Ziehl-Neelsen 染色(n = 20)。基于玻璃切片的原始诊断被视为参考标准。六位病理学家对数字图像进行了审查:由于假阳性读数的比例较低,数字复核通常具有较高的特异性(即≥90%)和阳性预测值,而高比例的假阴性则导致许多染色的敏感性和阴性预测值较低。弗莱斯κ显示,在解读Grocott甲氰咪胍银和单纯疱疹病毒、幽门螺杆菌和巨细胞病毒免疫印迹时,观察者之间的一致性很高;在解读螺旋体、齐氏-奈尔森和粘液胭脂红时,一致性一般;在解读Giemsa时,一致性较差:结论:在微生物检测方面,数字免疫组化通常优于组织化学染色。Ziehl-Neelsen和粘液armine染色的数字化判读在相互之间的可靠性、准确性、灵敏度和阴性预测值方面得分较低,因此不应取代玻璃切片的传统检查。
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