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The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis

Cervical carcinoma is a major cause of morbidity and mortality among women worldwide. Histological subtype, lymphovascular space invasion and tumor grade could have a prognostic and predictive value for patients’ outcome and the knowledge of these histologic characteristics may influence clinical de...

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Autores principales: Lia, Massimiliano, Horn, Lars-Christian, Sodeikat, Paulina, Höckel, Michael, Aktas, Bahriye, Wolf, Benjamin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730459/
https://www.ncbi.nlm.nih.gov/pubmed/34986187
http://dx.doi.org/10.1371/journal.pone.0262257
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author Lia, Massimiliano
Horn, Lars-Christian
Sodeikat, Paulina
Höckel, Michael
Aktas, Bahriye
Wolf, Benjamin
author_facet Lia, Massimiliano
Horn, Lars-Christian
Sodeikat, Paulina
Höckel, Michael
Aktas, Bahriye
Wolf, Benjamin
author_sort Lia, Massimiliano
collection PubMed
description Cervical carcinoma is a major cause of morbidity and mortality among women worldwide. Histological subtype, lymphovascular space invasion and tumor grade could have a prognostic and predictive value for patients’ outcome and the knowledge of these histologic characteristics may influence clinical decision making. However, studies evaluating the diagnostic value of various biopsy techniques regarding these parameters of cervical cancer are scarce. We reviewed 318 cases of cervical carcinoma with available pathology reports from preoperative core needle biopsy (CNB) assessment and from final postoperative evaluation of the hysterectomy specimen. Setting the postoperative comprehensive pathological evaluation as reference, we analysed CNB assessment of histological tumor characteristics. In addition, we performed multivariable logistic regression to identify factors influencing the accuracy in identifying LVSI and tumor grade. CNB was highly accurate in discriminating histological subtype. Sensitivity and specificity were 98.8% and 89% for squamous cell carcinoma, 92.9% and 96.6% for adenocarcinoma, 33.3% and 100% in adenosquamous carcinoma respectively. Neuroendocrine carcinoma was always recognized correctly. The accuracy of the prediction of LVSI was 61.9% and was positively influenced by tumor size in preoperative magnetic resonance imaging and negatively influenced by strong peritumoral inflammation. High tumor grade (G3) was diagnosed accurately in 73.9% of cases and was influenced by histological tumor type. In conclusion, CNB is an accurate sampling technique for histological classification of cervical cancer and represents a reasonable alternative to other biopsy techniques.
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spelling pubmed-87304592022-01-06 The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis Lia, Massimiliano Horn, Lars-Christian Sodeikat, Paulina Höckel, Michael Aktas, Bahriye Wolf, Benjamin PLoS One Research Article Cervical carcinoma is a major cause of morbidity and mortality among women worldwide. Histological subtype, lymphovascular space invasion and tumor grade could have a prognostic and predictive value for patients’ outcome and the knowledge of these histologic characteristics may influence clinical decision making. However, studies evaluating the diagnostic value of various biopsy techniques regarding these parameters of cervical cancer are scarce. We reviewed 318 cases of cervical carcinoma with available pathology reports from preoperative core needle biopsy (CNB) assessment and from final postoperative evaluation of the hysterectomy specimen. Setting the postoperative comprehensive pathological evaluation as reference, we analysed CNB assessment of histological tumor characteristics. In addition, we performed multivariable logistic regression to identify factors influencing the accuracy in identifying LVSI and tumor grade. CNB was highly accurate in discriminating histological subtype. Sensitivity and specificity were 98.8% and 89% for squamous cell carcinoma, 92.9% and 96.6% for adenocarcinoma, 33.3% and 100% in adenosquamous carcinoma respectively. Neuroendocrine carcinoma was always recognized correctly. The accuracy of the prediction of LVSI was 61.9% and was positively influenced by tumor size in preoperative magnetic resonance imaging and negatively influenced by strong peritumoral inflammation. High tumor grade (G3) was diagnosed accurately in 73.9% of cases and was influenced by histological tumor type. In conclusion, CNB is an accurate sampling technique for histological classification of cervical cancer and represents a reasonable alternative to other biopsy techniques. Public Library of Science 2022-01-05 /pmc/articles/PMC8730459/ /pubmed/34986187 http://dx.doi.org/10.1371/journal.pone.0262257 Text en © 2022 Lia et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Lia, Massimiliano
Horn, Lars-Christian
Sodeikat, Paulina
Höckel, Michael
Aktas, Bahriye
Wolf, Benjamin
The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis
title The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis
title_full The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis
title_fullStr The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis
title_full_unstemmed The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis
title_short The diagnostic value of core needle biopsy in cervical cancer: A retrospective analysis
title_sort diagnostic value of core needle biopsy in cervical cancer: a retrospective analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8730459/
https://www.ncbi.nlm.nih.gov/pubmed/34986187
http://dx.doi.org/10.1371/journal.pone.0262257
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