The International Academy of Cytology Yokohama System for Reporting Breast Cytopathology showed improved diagnostic accuracy
| Autor: | Chao Wang, Shirley K. Jamidi, Esther H. Y. Hung, Chaiwat Aphivatanasiri, Ivan K. Poon, Julia Y. Tsang, Joshua J. Li, Monalyn Marabi, Gary Tse |
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| Rok vydání: | 2021 |
| Předmět: |
Cancer Research
medicine.medical_specialty Concordance Cytodiagnosis Biopsy Fine-Needle Cytological Techniques 030209 endocrinology & metabolism Diagnostic accuracy Breast Neoplasms 03 medical and health sciences 0302 clinical medicine Cytology Biopsy Medicine Humans Breast Medical diagnosis Suspicious for Malignancy medicine.diagnostic_test business.industry Reproducibility of Results Fine-needle aspiration Oncology Cytopathology 030220 oncology & carcinogenesis Female Radiology business |
| Zdroj: | Cancer cytopathologyReferences. 129(11) |
| ISSN: | 1934-6638 |
| Popis: | BACKGROUND The aim of the International Academy of Cytology Yokohama System for Reporting Breast Fine Needle Aspiration Biopsy Cytopathology is to improve cytology practice. This study assessed cytologic diagnoses made with the system and its efficacy when it was applied by pathologists with different levels of experience. METHODS In all, 1080 cases of breast fine-needle aspiration biopsy (FNAB) over a period of 16 years were reviewed and reclassified with the system. The category distribution and the diagnostic performance were compared with the original diagnoses. The concordance rates for diagnoses from pathologists with different levels of experience were also determined. RESULTS The distribution of cytologic diagnoses made with the system was as follows: 11.7% were insufficient, 56.6% were benign, 20.1% were atypical, 6.1% were suspicious for malignancy, and 5.6% were malignant. The rates for the insufficient and atypical categories were lower than the original diagnosis rates (13.1% and 23.8%, respectively). Overall, 120 cases (11.1%) were recategorized. Among those recategorized as benign, suspicious, or malignant with follow-up data, 96.7% were correctly reclassified. A significant improvement in diagnostic performance was found with the system (P |
| Databáze: | OpenAIRE |
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