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Cancer Registration, Molecular Marker Status, and Adherence to the WHO 2016 Classification of Pathology Reports for Glioma Diagnosed during 2017-2019 in Belgium.
Vanhauwaert, Dimitri; Pinson, Harry; Vanschoenbeek, Katrijn; Dedeurwaerdere, Franceska; De Gendt, Cindy; Boterberg, Tom; De Vleeschouwer, Steven.
Afiliación
  • Vanhauwaert D; Department of Neurosurgery, AZ Delta, Roeselare, Belgium.
  • Pinson H; Department of Neurosurgery, Ghent University Hospital, Ghent, Belgium.
  • Vanschoenbeek K; Belgian Cancer Registry, Brussels, Belgium.
  • Dedeurwaerdere F; Department of Pathology, AZ Delta, Roeselare, Belgium.
  • De Gendt C; Belgian Cancer Registry, Brussels, Belgium.
  • Boterberg T; Department of Radiation Oncology, Ghent University Hospital, Ghent, Belgium.
  • De Vleeschouwer S; Department of Neurosurgery, UZ Leuven, Leuven, Belgium.
Pathobiology ; 90(6): 365-376, 2023.
Article en En | MEDLINE | ID: mdl-36702113
ABSTRACT

INTRODUCTION:

The objective of this study was to cross-check and, if necessary, adjust registered ICD-O-3 topography and morphology codes with the findings in pathology reports available at the Belgian Cancer Registry (BCR) for glioma patients. Additionally, integration of molecular markers in the pathological diagnosis and concordance with WHO 2016 classification is investigated.

METHODS:

Since information regarding molecular tests and corresponding conclusions are not available as structured data at population level, a manual screening of all pseudonymized pathology reports available at the BCR for registered glioma patients (2017-2019) was conducted. ICD-O-3 morphology and topography codes from the BCR database (based on information as provided by hospital oncological care programmes and pathology laboratories), were, at tumour level, cross-checked with the data from the pathology reports and, if needed, specified or corrected. Relevant molecular markers (IDH1/2, 1p19q codeletion, promoter region of the MGMT gene [MGMTp]) were manually extracted from the pathology reports.

RESULTS:

In 95.3% of gliomas, the ICD-O-3 morphology code was correct. Non-specific topography codes were specified in 9.3%, while 3.3% of specific codes were corrected. The IDH status was known in 75.2% of astrocytic tumours. The rate of correct integrated diagnoses varied from 47.6% to 56.4% among different gliomas. MGMTp methylation status was available in 32.2% of glioblastomas.

CONCLUSION:

Both the integration of molecular markers in the conclusion of the pathology reports and the delivery of those reports to the BCR can be improved. The availability of distinct ICD-O-3 codes for each molecularly defined tumour entity within the WHO classification would increase the consistency of cancer registration, facilitate population level research and international benchmarking.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioma Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Pathobiology Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Bélgica

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Encefálicas / Glioma Tipo de estudio: Diagnostic_studies / Guideline Límite: Humans País/Región como asunto: Europa Idioma: En Revista: Pathobiology Asunto de la revista: PATOLOGIA Año: 2023 Tipo del documento: Article País de afiliación: Bélgica