A Population-Based Analysis of Application of WHO Nomenclature in Pathology Reports of Pulmonary Neuroendocrine Tumors

被引:10
|
作者
Derks, Jules L. [1 ]
van Suylen, Robert Jan [2 ]
Thunnissen, Erik [3 ]
den Bakker, Michael A. [4 ,5 ]
Smit, Egbert F. [6 ,7 ]
Groen, Harry J. M. [8 ]
Speel, Ernst J. M. [9 ]
Dingemans, Anne-Marie C. [1 ]
机构
[1] Maastricht Univ, Med Ctr, GROW Sch Oncol & Dev Biol, Dept Pulm Dis, NL-6200 MD Maastricht, Netherlands
[2] Jeroen Bosch Hosp, Dept Pathol, Shertogenbosch, Netherlands
[3] Vrije Univ Amsterdam, Med Ctr, Dept Pathol, Amsterdam, Netherlands
[4] Maasstad Hosp, Dept Pathol, Rotterdam, Netherlands
[5] Erasmus MC, Dept Pathol, Rotterdam, Netherlands
[6] Vrije Univ Amsterdam Med Ctr, Dept Pulm Dis, Amsterdam, Netherlands
[7] Netherlands Canc Inst, Dept Thorac Oncol, Amsterdam, Netherlands
[8] Univ Groningen, Univ Med Ctr Groningen, Dept Pulm Dis, Groningen, Netherlands
[9] Maastricht Univ, Med Ctr, GROW Sch Oncol & Dev Biol, Dept Pathol, NL-6200 MD Maastricht, Netherlands
关键词
Nomenclature; Pulmonary neuroendocrine tumors; Carcinoids; LCNEC; Diagnosis; CELL LUNG-CANCER; INTEROBSERVER VARIABILITY; CLASSIFICATION; DIFFERENTIATION; CARCINOIDS; CONSENSUS; NETHERLANDS; EXPERIENCE; PROGNOSIS; NEOPLASMS;
D O I
10.1016/j.jtho.2015.12.106
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Introduction: Pulmonary neuroendocrine tumors (pNETs) are difficult to classify. We performed a population-based analysis to investigate the application of pNET nomenclature in daily pathology practice. Methods: Conclusions from pathology reports (20032012) describing carcinoids, (large cell) neuroendocrine carcinomas (NECs), and carcinomas with neuroendocrine features/differentiation were retrieved from the Dutch Pathology Registry by queries on location and diagnosis and screened for terminology. Cases with a nonpulmonary or unknown origin and small cell lung cancer were excluded. Diagnoses were clustered into subgroups and the retrieved terminology was compared with the 2015 World Health Organization (WHO) diagnoses. By means of an online questionnaire, interpretation of the non-WHO nomenclature retrieved from pathology reports was evaluated (by 35 physicians and 19 pathologists). Results: A total of 3216 unique pathology report conclusions with 55 different pNET diagnoses (n = 3052) and 20 uncertain diagnoses (n = 164) were analyzed. Non-WHO nomenclature was used in 15% of diagnoses (n = 488). Diagnoses could be clustered into carcinoids (n = 1086), NEC (n = 1316), carcinomas with neuroendocrine features/differentiation (n = 624), and unspecified pNETs (n = 26). Non-WHO nomenclature within these clusters was found for 7% of carcinoids, 20% of NECs, 13% of carcinomas with neuroendocrine features/differentiation, and 100% of unspecified pNETs and was observed more often in conclusions regarding biopsy or cytological specimens (62% and 12%) compared with resection specimens (26%). Analysis of the questionnaire results revealed that 4 of 19 diagnoses based on non-WHO nomenclature were uniformly interpreted (>50% agreement) by physicians, as were 10 of 19 diagnoses by pathologists. Conclusions: In 15% of pNETs other than small cell lung cancer, a non-WHO nomenclature diagnosis was provided, more frequently on the basis of smaller specimens. The interpretation was different between physicians and pathologists. Application of uniform nomenclature among all clinicians is advocated. (C) 2016 International Association for the Study of Lung Cancer. Published by Elsevier Inc. All rights reserved.
引用
收藏
页码:593 / 602
页数:10
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