美国组织病理学分组方案的中枢脑肿瘤登记处为癌症登记数据提供临床相关的脑和其他中枢神经系统类别。

Q4 Medicine Journal of registry management Pub Date : 2022-01-01
Quinn Ostrom, Carol Kruchko, Corey Neff, Albert Firth, Recinda Sherman
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引用次数: 0

摘要

背景:脑和其他中枢神经系统(CNS)肿瘤是一个异质性的肿瘤集合,但它们通常在地方和国家癌症统计中被报道为一个单一的大类别。尽管自2004年诊断以来,非恶性脑肿瘤和其他中枢神经系统肿瘤的收集已被强制要求,但这些肿瘤通常被排除在癌症的标准统计报告之外,尽管它们给美国和加拿大的人口带来了负担。美国中央脑肿瘤登记处(CBTRUS)与神经病理学家合作制定了历史和当前的组织病理学分组方案,以捕捉这些肿瘤在临床相关类别中的多样性。该分析的目的是在释放变量用于北美中央癌症登记处协会(NAACCR)北美癌症(中国)数据集和个别癌症登记处之前,基于CBTRUS组织病理学分组测试一个新的重新编码变量。方法:创建CBTRUS组织病理学分组方案变量,并在评估CiNA数据集中实施。对变量分类的准确性进行了评估。计数和发病率采用SEER*Stat计算。结果:总体而言,在美国和加拿大的中国数据集中,2015-2019年诊断年度确定了481,650例符合CBTRUS定义的脑和其他中枢神经系统肿瘤,使其成为第六大常见肿瘤。在脑部和其他中枢神经系统肿瘤病例中,约29%为恶性肿瘤(《国际肿瘤疾病分类》第3版[ICD-O-3]中的行为代码为/3),约71%为非恶性肿瘤(ICD-O-3行为代码为/0或/1)。脑和其他中枢神经系统肿瘤的总体年龄调整年发病率(AAAIR)为24.44 / 100,000 (95% CI, 24.37-24.51)。最常见的组织病理学是脑膜瘤,其中约99%是非恶性的(AAAIR, 9.09 / 10万;95% ci, 9.05-9.13);垂体肿瘤,其中约99%为非恶性(AAAIR, 4.28 / 10万);95% ci, 4.25-4.31);胶质母细胞瘤,100%为恶性行为(AAAIR, 3.20 / 10万;95% ci, 3.18-3.22)。结论:脑和其他中枢神经系统肿瘤构成了一个极其多样化的类别,在北美对癌症负担有很大贡献。CBTRUS组织病理学分组变量为NAACCR中国以及单个中心癌症登记组中这些肿瘤的分析提供了临床相关的分组。我们鼓励使用这一变量来支持对这一重要肿瘤组进行更详细的分析。
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The Central Brain Tumor Registry of the United States Histopathological Grouping Scheme Provides Clinically Relevant Brain and Other Central Nervous System Categories for Cancer Registry Data.

Background: Brain and other central nervous system (CNS) tumors are a heterogenous collection of tumors, but they are generally reported in local and national cancer statistics as a single, large category. Although the collection of non-malignant brain and other CNS tumors has been mandated since diagnosis year 2004, these tumors are often excluded from standard statistical reports on cancer despite their burden on populations in the United States and Canada. The Central Brain Tumor Registry of the United States (CBTRUS) historical and current histopathological grouping schemes have been developed in collaboration with neuropathologists to capture the diversity of these tumors in clinically relevant categories. The goal of this analysis was to test a new recode variable based on the CBTRUS histopathology grouping prior to releasing the variable for use in the North American Association of Central Cancer Registries (NAACCR) Cancer in North American (CiNA) data sets and by individual cancer registries.

Methods: The CBTRUS histopathology grouping scheme variable was created and implemented in an evaluation CiNA data set. The accuracy of the variable's categories was evaluated. Counts and incidence rates were calculated using SEER*Stat.

Results: Overall, 481,650 cases of brain and other CNS tumors meeting the CBTRUS definition were identified for diagnosis years 2015-2019 in the CiNA data set for the US and Canada, making these the sixth-most-common tumor as a group. Of the brain and other CNS tumor cases, approximately 29% were malignant (behavior code /3 in the International Classification of Diseases for Oncology, 3rd edition [ICD-O-3]) while about 71% were nonmalignant (ICD-O-3 behavior code /0 or /1). The overall age-adjusted annual incidence rate (AAAIR) of brain and other CNS tumors was 24.44 per 100,000 (95% CI, 24.37-24.51). The most common histopathologies were meningioma, of which approximately 99% were nonmalignant (AAAIR, 9.09 per 100,000; 95% CI, 9.05-9.13); tumors of the pituitary, of which about 99% were nonmalignant (AAAIR, 4.28 per 100,000; 95% CI, 4.25-4.31); and glioblastoma, of which 100% were malignant behavior (AAAIR, 3.20 per 100,000; 95% CI, 3.18-3.22).

Conclusion: Brain and other CNS tumors make up an extremely diverse category that contributes substantially to the cancer burden in North America. The CBTRUS histopathology grouping variable provides clinically relevant groupings for analysis of these tumors in the NAACCR CiNA as well as by individual central cancer registry groups. We encourage the use of this variable to support more detailed analysis of this important group of tumors.

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Journal of registry management
Journal of registry management Medicine-Medicine (all)
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JRM Editors Past and Present (1995-2024). Cancer Registry Enrichment via Linkage with Hospital-Based Electronic Medical Records: A Pilot Investigation. Health Care Utilization Prior to Ovarian Cancer Diagnosis in Publicly Insured Individuals in New York State. Letter from the Editor. Planning for the Future.
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