Cargando…
Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer
BACKGROUND: Accuracy of head and neck MRI (HN-MRI) in predicting tumor invasion of laryngeal site/subsites in patients with laryngeal cancer prior to laryngectomy is poorly evaluated in the literature. Therefore, we aim to evaluate the diagnostic value of HN-MRI in accurate pre-operative estimation...
Autores principales: | , , , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585883/ https://www.ncbi.nlm.nih.gov/pubmed/37858162 http://dx.doi.org/10.1186/s40644-023-00618-y |
_version_ | 1785123042123317248 |
---|---|
author | Mohamad, Issa Hejleh, Taher Abu Qandeel, Monther Al-Hussaini, Maysa Koro, Sami Taqash, Ayat Almousa, Abdelatif Abuhijla, Fawzi Abuhijlih, Ramiz Ajlouni, Fatenah Al-Ibraheem, Akram Laban, Dima Abu Hussein, Tariq Mayta, Ebrahim Al-Gargaz, Wisam Hosni, Ali |
author_facet | Mohamad, Issa Hejleh, Taher Abu Qandeel, Monther Al-Hussaini, Maysa Koro, Sami Taqash, Ayat Almousa, Abdelatif Abuhijla, Fawzi Abuhijlih, Ramiz Ajlouni, Fatenah Al-Ibraheem, Akram Laban, Dima Abu Hussein, Tariq Mayta, Ebrahim Al-Gargaz, Wisam Hosni, Ali |
author_sort | Mohamad, Issa |
collection | PubMed |
description | BACKGROUND: Accuracy of head and neck MRI (HN-MRI) in predicting tumor invasion of laryngeal site/subsites in patients with laryngeal cancer prior to laryngectomy is poorly evaluated in the literature. Therefore, we aim to evaluate the diagnostic value of HN-MRI in accurate pre-operative estimation of tumor invasion to laryngeal subsites in patients with laryngeal cancer. METHODS: Patients with laryngeal cancer who underwent HN-MRI for cancer staging and underwent total laryngectomy between 2008 and 2021 were included. Sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy of HN-MRI in predicting tumor invasion of laryngeal subsites were calculated based on concordance between the HN-MRI and histopathological results. RESULTS: One hundred and thirty-seven patients underwent total laryngectomy [primary: 82/137(60%), salvage 55/137(40%)]. The utilization of HN-MRI resulted in the downstaging of 16/137 (11.6%) patients and the upstaging of 8/137 (5.8%) patients. For the whole cohort, there was a significant discordance between HN-MRI and histopathology for T-category; out of 116 cT4a disease, 102(87.9%) were confirmed to have pT4a disease, and out of 17 cT3 disease, 9(52.9%) were confirmed to have pT3 disease, p < 0.001. The MRI overall diagnostic accuracy of predicting tumor invasion was 91%, 92%, 82%, 87%, 72%, 76%, 65% and 68% for base of tongue, arytenoid, vocal cord, posterior commissure, pre-epiglottic space, cricoid cartilage, inner thyroid cortex, and subglottis, respectively. CONCLUSIONS: In patients with laryngeal cancer undergoing total laryngectomy, HN-MRI demonstrates promising accuracy in predicting tumor invasion of specific laryngeal subsites (e.g., base of tongue). Our findings showed the potential of HN-MRI as a valuable tool for pre-operative planning and treatment decision-making in this patient population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00618-y. |
format | Online Article Text |
id | pubmed-10585883 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105858832023-10-20 Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer Mohamad, Issa Hejleh, Taher Abu Qandeel, Monther Al-Hussaini, Maysa Koro, Sami Taqash, Ayat Almousa, Abdelatif Abuhijla, Fawzi Abuhijlih, Ramiz Ajlouni, Fatenah Al-Ibraheem, Akram Laban, Dima Abu Hussein, Tariq Mayta, Ebrahim Al-Gargaz, Wisam Hosni, Ali Cancer Imaging Research Article BACKGROUND: Accuracy of head and neck MRI (HN-MRI) in predicting tumor invasion of laryngeal site/subsites in patients with laryngeal cancer prior to laryngectomy is poorly evaluated in the literature. Therefore, we aim to evaluate the diagnostic value of HN-MRI in accurate pre-operative estimation of tumor invasion to laryngeal subsites in patients with laryngeal cancer. METHODS: Patients with laryngeal cancer who underwent HN-MRI for cancer staging and underwent total laryngectomy between 2008 and 2021 were included. Sensitivity, specificity, positive predictive value, negative predictive value, and overall accuracy of HN-MRI in predicting tumor invasion of laryngeal subsites were calculated based on concordance between the HN-MRI and histopathological results. RESULTS: One hundred and thirty-seven patients underwent total laryngectomy [primary: 82/137(60%), salvage 55/137(40%)]. The utilization of HN-MRI resulted in the downstaging of 16/137 (11.6%) patients and the upstaging of 8/137 (5.8%) patients. For the whole cohort, there was a significant discordance between HN-MRI and histopathology for T-category; out of 116 cT4a disease, 102(87.9%) were confirmed to have pT4a disease, and out of 17 cT3 disease, 9(52.9%) were confirmed to have pT3 disease, p < 0.001. The MRI overall diagnostic accuracy of predicting tumor invasion was 91%, 92%, 82%, 87%, 72%, 76%, 65% and 68% for base of tongue, arytenoid, vocal cord, posterior commissure, pre-epiglottic space, cricoid cartilage, inner thyroid cortex, and subglottis, respectively. CONCLUSIONS: In patients with laryngeal cancer undergoing total laryngectomy, HN-MRI demonstrates promising accuracy in predicting tumor invasion of specific laryngeal subsites (e.g., base of tongue). Our findings showed the potential of HN-MRI as a valuable tool for pre-operative planning and treatment decision-making in this patient population. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40644-023-00618-y. BioMed Central 2023-10-19 /pmc/articles/PMC10585883/ /pubmed/37858162 http://dx.doi.org/10.1186/s40644-023-00618-y Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 Article Mohamad, Issa Hejleh, Taher Abu Qandeel, Monther Al-Hussaini, Maysa Koro, Sami Taqash, Ayat Almousa, Abdelatif Abuhijla, Fawzi Abuhijlih, Ramiz Ajlouni, Fatenah Al-Ibraheem, Akram Laban, Dima Abu Hussein, Tariq Mayta, Ebrahim Al-Gargaz, Wisam Hosni, Ali Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer |
title | Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer |
title_full | Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer |
title_fullStr | Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer |
title_full_unstemmed | Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer |
title_short | Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer |
title_sort | concordance between head and neck mri and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10585883/ https://www.ncbi.nlm.nih.gov/pubmed/37858162 http://dx.doi.org/10.1186/s40644-023-00618-y |
work_keys_str_mv | AT mohamadissa concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT hejlehtaherabu concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT qandeelmonther concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT alhussainimaysa concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT korosami concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT taqashayat concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT almousaabdelatif concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT abuhijlafawzi concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT abuhijlihramiz concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT ajlounifatenah concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT alibraheemakram concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT labandimaabu concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT husseintariq concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT maytaebrahim concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT algargazwisam concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer AT hosniali concordancebetweenheadandneckmriandhistopathologyindetectinglaryngealsubsiteinvasionamongpatientswithlaryngealcancer |