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How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?

BACKGROUND: Frozen section (FS) pathology has multiple limitations, and different institutions report variable experiences with the use of FS for diagnosis of tumor involvement. We aimed to compare the FS accuracy with that of permanent pathology (gold standard) regarding marginal involvement and ly...

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Autores principales: Namdar, Zahra Mehdipour, Omidifar, Navid, Arasteh, Peyman, Akrami, Majid, Tahmasebi, Sedigheh, Nobandegani, Aida Salehi, Sedighi, Sogol, Zangouri, Vahid, Talei, Abdolrasoul
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411544/
https://www.ncbi.nlm.nih.gov/pubmed/34470649
http://dx.doi.org/10.1186/s12957-021-02365-5
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author Namdar, Zahra Mehdipour
Omidifar, Navid
Arasteh, Peyman
Akrami, Majid
Tahmasebi, Sedigheh
Nobandegani, Aida Salehi
Sedighi, Sogol
Zangouri, Vahid
Talei, Abdolrasoul
author_facet Namdar, Zahra Mehdipour
Omidifar, Navid
Arasteh, Peyman
Akrami, Majid
Tahmasebi, Sedigheh
Nobandegani, Aida Salehi
Sedighi, Sogol
Zangouri, Vahid
Talei, Abdolrasoul
author_sort Namdar, Zahra Mehdipour
collection PubMed
description BACKGROUND: Frozen section (FS) pathology has multiple limitations, and different institutions report variable experiences with the use of FS for diagnosis of tumor involvement. We aimed to compare the FS accuracy with that of permanent pathology (gold standard) regarding marginal involvement and lymph node status using data from the largest breast cancer registry in Iran. METHODS: In this retrospective study, women who had both FS and permanent pathology reports were included. The two pathology reports were cross compared with regard to the involvement of tumor margins and sentinel lymph nodes. RESULTS: Overall, 2786 patients entered the study. Mean age of patients was 48.96±11.44 years. A total of 1742 margins were analyzed. Accordingly, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of FS pathology for detection of involvement of involved margins were 78.49%, 97.63%, 65.1%, and 98.7%, respectively. The accuracy and area under the curve (AUC) for FS pathology were 96.61% and 0.73 (95% CI: 0.64–0.831), respectively. A total of 1702 sentinel lymph node biopsies were assessed. Sensitivity, specificity, PPV, and NPV, of FS pathology for detection of lymph node involvement, were 87.1%, 98%, 95.5%, and 93.3%, respectively. Accuracy and AUC of FS for diagnosis of involved lymph nodes were 94.1% and 0.926 (95% CI: 0.909–0.942), respectively. CONCLUSION: Frozen pathology is a suitable method for identifying involved sentinel lymph nodes in patients with breast cancer, but this method has a less than optimum efficacy for detecting and confirming marginal involvement.
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spelling pubmed-84115442021-09-09 How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer? Namdar, Zahra Mehdipour Omidifar, Navid Arasteh, Peyman Akrami, Majid Tahmasebi, Sedigheh Nobandegani, Aida Salehi Sedighi, Sogol Zangouri, Vahid Talei, Abdolrasoul World J Surg Oncol Research BACKGROUND: Frozen section (FS) pathology has multiple limitations, and different institutions report variable experiences with the use of FS for diagnosis of tumor involvement. We aimed to compare the FS accuracy with that of permanent pathology (gold standard) regarding marginal involvement and lymph node status using data from the largest breast cancer registry in Iran. METHODS: In this retrospective study, women who had both FS and permanent pathology reports were included. The two pathology reports were cross compared with regard to the involvement of tumor margins and sentinel lymph nodes. RESULTS: Overall, 2786 patients entered the study. Mean age of patients was 48.96±11.44 years. A total of 1742 margins were analyzed. Accordingly, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of FS pathology for detection of involvement of involved margins were 78.49%, 97.63%, 65.1%, and 98.7%, respectively. The accuracy and area under the curve (AUC) for FS pathology were 96.61% and 0.73 (95% CI: 0.64–0.831), respectively. A total of 1702 sentinel lymph node biopsies were assessed. Sensitivity, specificity, PPV, and NPV, of FS pathology for detection of lymph node involvement, were 87.1%, 98%, 95.5%, and 93.3%, respectively. Accuracy and AUC of FS for diagnosis of involved lymph nodes were 94.1% and 0.926 (95% CI: 0.909–0.942), respectively. CONCLUSION: Frozen pathology is a suitable method for identifying involved sentinel lymph nodes in patients with breast cancer, but this method has a less than optimum efficacy for detecting and confirming marginal involvement. BioMed Central 2021-09-01 /pmc/articles/PMC8411544/ /pubmed/34470649 http://dx.doi.org/10.1186/s12957-021-02365-5 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Namdar, Zahra Mehdipour
Omidifar, Navid
Arasteh, Peyman
Akrami, Majid
Tahmasebi, Sedigheh
Nobandegani, Aida Salehi
Sedighi, Sogol
Zangouri, Vahid
Talei, Abdolrasoul
How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?
title How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?
title_full How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?
title_fullStr How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?
title_full_unstemmed How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?
title_short How accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?
title_sort how accurate is frozen section pathology compared to permanent pathology in detecting involved margins and lymph nodes in breast cancer?
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8411544/
https://www.ncbi.nlm.nih.gov/pubmed/34470649
http://dx.doi.org/10.1186/s12957-021-02365-5
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