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活检及经尿道切除标本中T1期膀胱癌的分析:预测进展至固有肌层浸润的T1期量化方法的比较与排序

Analysis of T1 Bladder Cancer on Biopsy and Transurethral Resection Specimens: Comparison and Ranking of T1 Quantification Approaches to Predict Progression to Muscularis Propria Invasion.

作者信息

Leivo Mariah Z, Sahoo Debashis, Hamilton Zachary, Mirsadraei Leili, Shabaik Ahmed, Parsons John K, Kader Andrew K, Derweesh Ithaar, Kane Christopher, Hansel Donna E

机构信息

Departments of Pathology.

Computer Science and Engineering.

出版信息

Am J Surg Pathol. 2018 Jan;42(1):e1-e10. doi: 10.1097/PAS.0000000000000964.

DOI:10.1097/PAS.0000000000000964
PMID:29076872
Abstract

Urothelial carcinoma of the bladder invasive into lamina propria on biopsy or transurethral resection of bladder tumor, termed "T1" disease, progresses to muscularis propria invasion in a subset of patients. Prior studies have proposed histopathologic metrics to predict progression, although methods vary widely and it is unclear which method is most robust. This poses a challenge since recent World Health Organization and American Joint Commission on Cancer editions encourage some attempt to substratify T1 disease. To address this critical problem, we analyzed T1 specimens to test which T1 quantification method is best to predict progression and to then establish the optimal cut-off. Progression was analyzed for all patients or for patients with definitive muscularis propria only. Multivariate analysis and outcomes modeling controlled for additional histopathologic features. Our results suggest that aggregate linear length of invasive carcinoma (ALLICA) measured by optical micrometer is far superior to other methods (P=3.067×10) and could be applied to 100% of specimens. ALLICA retained significance in multivariate analysis and eliminated contribution of other histopathologic features to progression. The best cut-off for ALLICA using a 30% false-positive threshold was 2.3 mm and using a 10% false-positive threshold at 25 mm, although the latter severely limited patients who could achieve this threshold. After comparison of all proposed methods of T1 quantification, we recommend the adoption of the ALLICA measurement and a cut-off of ≥2.3 mm as the best predictor of progression, acknowledging that additional nonhistopathologic methods may be required to increase broad applicability and further reduce the false-positive threshold.

摘要

活检或经尿道膀胱肿瘤切除术中侵犯至固有层的膀胱尿路上皮癌,即“T1”期疾病,在部分患者中会进展为肌层浸润。既往研究提出了多种组织病理学指标来预测疾病进展,然而这些方法差异很大,尚不清楚哪种方法最为可靠。鉴于世界卫生组织和美国癌症联合委员会的最新版次鼓励对T1期疾病进行分层,这就带来了挑战。为解决这一关键问题,我们分析了T1期标本,以测试哪种T1量化方法最能预测疾病进展,并确定最佳临界值。对所有患者或仅对有明确肌层浸润的患者进行了进展分析。多因素分析和结果建模对其他组织病理学特征进行了控制。我们的结果表明,用光学测微计测量的浸润性癌总线性长度(ALLICA)远优于其他方法(P = 3.067×10),并且可应用于100%的标本。ALLICA在多因素分析中仍具有显著性,消除了其他组织病理学特征对疾病进展的影响。使用30%假阳性阈值时,ALLICA的最佳临界值为2.3毫米;使用10%假阳性阈值时为25毫米,不过后者会严重限制能达到该阈值的患者数量。在比较了所有提出的T1量化方法后,我们建议采用ALLICA测量法和≥2.3毫米的临界值作为疾病进展的最佳预测指标,同时认识到可能需要其他非组织病理学方法来提高广泛适用性并进一步降低假阳性阈值。

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