Campbell Walter S, Rous Brian A, Dubois Stefan, Seegers Paul A, Dash Rajesh C, Rüdiger Thomas, Santamaria Suzanne, Wooler Elaine, Case James, Igali Lazslo, Edgerton Mary E, Simpson Ross W, Bazyleva Ekaterina, Birdsong George, Moldwin Richard, Helliwell Timothy R, Yu Peter Paul, Srigley John
Department of Pathology and Microbiology, University of Nebraska Medical Center, Omaha, NE.
Cambridge University Hospitals, NHS Foundation Trust, Cambridge, United Kingdom.
JCO Clin Cancer Inform. 2025 Feb;9:e2400180. doi: 10.1200/CCI-24-00180. Epub 2025 Feb 5.
Over the past 50 years, multiple pathology organizations worldwide have evolved in cancer histopathology reporting from subjective, narrative assessments to structured, synoptic formats using controlled vocabulary. These reporting protocols include the required data elements that represent the minimum set of evidence-based, clinically actionable parameters necessary to convey the diagnostic, prognostic, and predictive information essential for patient care. Despite these advances, the synoptic reporting protocols were not harmonized across the various pathology organizations. Cancer pathology continues to be widely reported and stored in free-text format, or without encoded data such that it is neither computable nor interoperable across organizations.
In 2020, SNOMED International created the Cancer Synoptic Reporting Working Group (CSRWG). This resulted in international collaboration across multiple pathology organizations. CCRWG's mission was to use SNOMED Clinical Terms (CT) concepts to represent the required content within the College of American Pathologists (CAP) and International Collaboration on Cancer Reporting (ICCR) published pathology reporting protocols.
In late 2023, the CSRWG published over 1,300 new or revised SNOMED CT concepts to represent all required pathology cancer data elements for adult and pediatric solid tumors in both CAP and ICCR using the semantic principles of the SNOMED-CT concept model. Thus, computability and interoperability would be broadly established.
This work brings to fruition the longstanding desire for an international, interoperable, human- and machine-readable cancer pathology report for use in patient care, health care quality improvement, population health, public health surveillance, and translational and clinical trial research. The following report describes the project, its methods, and applications in the stated use cases.
在过去50年里，全球多个病理学组织在癌症组织病理学报告方面不断发展，从主观的叙述性评估转变为使用受控词汇的结构化概要格式。这些报告协议包括所需的数据元素，这些元素代表了传达患者护理所需的诊断、预后和预测信息所必需的基于证据的、临床可操作参数的最小集合。尽管取得了这些进展，但不同病理学组织之间的概要报告协议并未统一。癌症病理学报告仍广泛以自由文本格式存储，或没有编码数据，因此在不同组织之间既不可计算也不可互操作。
2020年，国际医学术语系统命名法（SNOMED）国际组织成立了癌症概要报告工作组（CSRWG）。这促成了多个病理学组织之间的国际合作。CSRWG的任务是使用SNOMED临床术语（CT）概念来表示美国病理学家协会（CAP）和国际癌症报告协作组织（ICCR）发布的病理学报告协议中的所需内容。
2023年末，CSRWG发布了1300多个新的或修订的SNOMED CT概念，以使用SNOMED-CT概念模型的语义原则来表示CAP和ICCR中成人和儿童实体瘤的所有所需病理学癌症数据元素。因此，将广泛建立可计算性和互操作性。
这项工作实现了长期以来的愿望，即生成一份国际通用、可互操作、人类和机器都可读的癌症病理学报告，用于患者护理、医疗质量改进、人群健康、公共卫生监测以及转化和临床试验研究。以下报告描述了该项目、其方法以及在上述用例中的应用。
