Article ; Online: Diagnostic accuracy of fine needle aspiration cytology and core needle biopsy in bone and soft tissue tumor: A comparative study of the image-guided and blindly performed procedure.
Annals of diagnostic pathology
2022 Volume 59, Page(s) 151936
Abstract: Introduction: Fine needle aspiration cytology (FNAC) and core needle biopsy (CNB) can provide tissue samples for the diagnoses of bone and soft tissue tumors. We evaluated the diagnostic accuracy of FNAC and CNB, the usefulness of the image-guided ... ...
Abstract | Introduction: Fine needle aspiration cytology (FNAC) and core needle biopsy (CNB) can provide tissue samples for the diagnoses of bone and soft tissue tumors. We evaluated the diagnostic accuracy of FNAC and CNB, the usefulness of the image-guided needle procedures, and assessed whether a discordance can influence the prognosis. Patients and methods: We retrospectively examined the accuracy rates of FNAC and CNB procedures by analyzing results of 405 specimens of 389 patients. We evaluated the diagnostic accuracy of FNAC and CNB, compared the clinical effectiveness between the image-guided procedures and the blind procedures, and also compared survival rates between the true positive and the false negative cases for patients with high-grade malignant tumors. Results: The accuracy rates of FNAC were 86.6% and 93.8% for CNB. In cases with non-palpable masses, there were significantly low sampling error rates in the image-guided procedure. There were no significant differences in progression-free-survival and overall survival rates in patients between the false negative and true positive cases. Conclusion: Both FNAC and CNB procedures had high accuracy rates. Limited to cases with no palpable masses, the image-guided procedure had a low sampling error rate and was an effective method for obtaining tissue samples. |
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MeSH term(s) | Biopsy, Fine-Needle/methods ; Biopsy, Large-Core Needle ; Humans ; Prognosis ; Retrospective Studies ; Sensitivity and Specificity ; Soft Tissue Neoplasms/diagnosis |
Language | English |
Publishing date | 2022-03-18 |
Publishing country | United States |
Document type | Journal Article |
ZDB-ID | 1440011-x |
ISSN | 1532-8198 ; 1092-9134 |
ISSN (online) | 1532-8198 |
ISSN | 1092-9134 |
DOI | 10.1016/j.anndiagpath.2022.151936 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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