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Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms
OBJECTIVE: To retrospectively analyze the reasons for misdiagnosis of haematolymphoid neoplasms and provide experience for improving the diagnostic level in China. METHODS: A retrospective analysis was performed on 2291 cases of haematolymphoid diseases evaluated by the Department of Pathology of ou...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Frontiers Media S.A.
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170766/ https://www.ncbi.nlm.nih.gov/pubmed/37182167 http://dx.doi.org/10.3389/fonc.2023.1128636 |
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author | Deng, Jing Zuo, Xiaona Yang, Liuyi Gao, Zifen Zhou, Chunju Guo, Ligai |
author_facet | Deng, Jing Zuo, Xiaona Yang, Liuyi Gao, Zifen Zhou, Chunju Guo, Ligai |
author_sort | Deng, Jing |
collection | PubMed |
description | OBJECTIVE: To retrospectively analyze the reasons for misdiagnosis of haematolymphoid neoplasms and provide experience for improving the diagnostic level in China. METHODS: A retrospective analysis was performed on 2291 cases of haematolymphoid diseases evaluated by the Department of Pathology of our hospital from 1 July 2019 to 30 June 2021. All 2291 cases were reviewed by two hematopathologist experts and classified according to the 2017 revised WHO classification criteria, supplemented immunohistochemistry (IHC), molecular biology and genetic information as needed. The diagnostic discordance between primary and expert review was evaluated. The possible causes of the diagnostic discrepancies were analyzed for each step involved in the procedure of diagnosis. RESULTS: In total, 912 cases did not conform to the expert diagnoses among all the 2291 cases, with a total misdiagnosis rate of 39.8%. Among them, misdiagnosis between benign and malignant lesions accounted for 24.3% (222/912), misdiagnosis between haematolymphoid neoplasms and non-haematolymphoid neoplasms accounted for 3.3% (30/912), misdiagnosis among lineages accounted for 9.3% (85/912), misclassification in lymphoma subtypes accounted for 60.8% (554/912), and other misdiagnoses among benign lesions accounted for 2.3% (21/912) of cases, among which misclassification of lymphoma subtypes was the most common. CONCLUSION: The accurate diagnosis of haematolymphoid neoplasms is challenging, involving various types of misdiagnosis and complicated causes, however, it is important for precise treatment. Through this analysis, we aimed to highlight the importance of accurate diagnosis, avoid diagnostic pitfalls and to improve the diagnostic level in our country. |
format | Online Article Text |
id | pubmed-10170766 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-101707662023-05-11 Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms Deng, Jing Zuo, Xiaona Yang, Liuyi Gao, Zifen Zhou, Chunju Guo, Ligai Front Oncol Oncology OBJECTIVE: To retrospectively analyze the reasons for misdiagnosis of haematolymphoid neoplasms and provide experience for improving the diagnostic level in China. METHODS: A retrospective analysis was performed on 2291 cases of haematolymphoid diseases evaluated by the Department of Pathology of our hospital from 1 July 2019 to 30 June 2021. All 2291 cases were reviewed by two hematopathologist experts and classified according to the 2017 revised WHO classification criteria, supplemented immunohistochemistry (IHC), molecular biology and genetic information as needed. The diagnostic discordance between primary and expert review was evaluated. The possible causes of the diagnostic discrepancies were analyzed for each step involved in the procedure of diagnosis. RESULTS: In total, 912 cases did not conform to the expert diagnoses among all the 2291 cases, with a total misdiagnosis rate of 39.8%. Among them, misdiagnosis between benign and malignant lesions accounted for 24.3% (222/912), misdiagnosis between haematolymphoid neoplasms and non-haematolymphoid neoplasms accounted for 3.3% (30/912), misdiagnosis among lineages accounted for 9.3% (85/912), misclassification in lymphoma subtypes accounted for 60.8% (554/912), and other misdiagnoses among benign lesions accounted for 2.3% (21/912) of cases, among which misclassification of lymphoma subtypes was the most common. CONCLUSION: The accurate diagnosis of haematolymphoid neoplasms is challenging, involving various types of misdiagnosis and complicated causes, however, it is important for precise treatment. Through this analysis, we aimed to highlight the importance of accurate diagnosis, avoid diagnostic pitfalls and to improve the diagnostic level in our country. Frontiers Media S.A. 2023-04-26 /pmc/articles/PMC10170766/ /pubmed/37182167 http://dx.doi.org/10.3389/fonc.2023.1128636 Text en Copyright © 2023 Deng, Zuo, Yang, Gao, Zhou and Guo https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Oncology Deng, Jing Zuo, Xiaona Yang, Liuyi Gao, Zifen Zhou, Chunju Guo, Ligai Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms |
title | Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms |
title_full | Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms |
title_fullStr | Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms |
title_full_unstemmed | Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms |
title_short | Misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms |
title_sort | misdiagnosis analysis of 2291 cases of haematolymphoid neoplasms |
topic | Oncology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10170766/ https://www.ncbi.nlm.nih.gov/pubmed/37182167 http://dx.doi.org/10.3389/fonc.2023.1128636 |
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