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首页> 外文期刊>American Journal of Surgical Pathology >The reticulin algorithm for adrenocortical tumor diagnosis a multicentric validation study on 245 unpublished cases
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The reticulin algorithm for adrenocortical tumor diagnosis a multicentric validation study on 245 unpublished cases

机译:网状蛋白算法用于肾上腺皮质肿瘤诊断的多中心验证研究,涉及245个未发表的病例

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摘要

The pathologic diagnosis of adrenocortical carcinoma (ACC) still needs to be improved, because the renowned Weiss Score (WS) system has a poor reproducibility of some parameters and is difficult to apply in borderline cases and in ACC variants. The "reticulin algorithm" (RA) defines malignancy through an altered reticulin framework associated with 1 of the 3 following parameter: necrosis, high mitotic rate, and vascular invasion. This study aimed at validating the interobserver reproducibility of reticulin stain evaluation in an unpublished series of 245 adrenocortical tumors (61 adenomas and 184 carcinomas) from 5 Italian centers, classified according to the WS. Eight pathologists reviewed all reticulin-stained slides. After training, a second round of evaluation on discordant cases was performed 10 weeks later. The RA reclassified 67 cases (27%) as adenomas, including 44 with no reticulin alterations and 23 with an altered reticulin framework but lacking the subsequent parameters of the triad. The other 178 cases (73%) were carcinomas according to the above-mentioned criteria. A complete (8/8 pathologists) interobserver agreement was reached in 75% of cases (k=0.702), irrespective of case derivation, pathologists' experience, and histologic variants, and was further improved when only those cases with high WS and clinically malignant behavior were considered. After the training, the overall agreement increased to 86%. We conclude that reticulin staining is a reliable technique and an easy-to-interpret system in adrenocortical tumors; moreover, it has a high interobserver reproducibility, which supports the notion of using such a method in the proposed 2-step RA approach for ACC diagnosis.
机译:肾上腺皮质癌(ACC)的病理诊断仍需改进,因为著名的Weiss评分(WS)系统某些参数的可重复性很差,并且难以应用于边缘病例和ACC变异体中。 “网状蛋白算法”(RA)通过与以下三个参数之一相关的网状蛋白框架改变来定义恶性:坏死,高有丝分裂率和血管浸润。这项研究旨在验证网状蛋白染色评估方法在观察者之间的可重复性,该评估方法是根据WS分类的,来自意大利5个中心的245例肾上腺皮质肿瘤(61例腺瘤和184例癌)未发表。八名病理学家检查了所有网状蛋白染色的载玻片。训练后,10周后对不符案件进行了第二轮评估。 RA将67例(27%)病例归为腺瘤,包括44例无网状蛋白改变和23例网状蛋白框架改变但缺乏三联征的后续参数。根据上述标准,其他178例(73%)是癌。不论病例的派生,病理学家的经验和组织学变异如何,在75%的病例中均达成了完整的(8/8位病理学家)观察员共识(k = 0.702),并且仅在那些WS高且临床恶性的病例中,这种观察者才能达成共识行为被考虑。培训后,总体协议提高到86%。我们得出结论,网状蛋白染色是肾上腺皮质肿瘤的可靠技术和易于解释的系统。此外,它具有较高的观察者间可重复性,这支持在建议的用于ACC诊断的两步RA方法中使用这种方法的想法。

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