Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer

Cancer Imaging

Research Article

Ayat Taqash¹  Fatenah Ajlouni²  Dima Abu Laban²  Monther Qandeel²  Taher Abu Hejleh³  Akram Al-Ibraheem⁴  Maysa Al-Hussaini⁵  Sami Koro⁶  Abdelatif Almousa⁷  Issa Mohamad⁷  Tariq Hussein⁷  Fawzi Abuhijla⁷  Ramiz Abuhijlih⁷  Ebrahim Mayta⁸  Wisam Al-Gargaz⁹  Ali Hosni^1,10 

[1] Department of Biostatistics, King Hussein Cancer Center, Amman, Jordan;Department of Diagnostic Radiology, King Hussein Cancer Center, Amman, Jordan;Department of Medical Oncology, King Hussein Cancer Center, Amman, Jordan;Department of Nuclear Medicine, King Hussein Cancer Center, Amman, Jordan;Department of Pathology and Laboratory Medicine, King Hussein Cancer Center, Amman, Jordan;Department of Radiation Oncology, Cleveland Clinic, Cleveland, OH, USA;Department of Radiation Oncology, King Hussein Cancer Center, Amman, Jordan;Department of Surgical Oncology, King Hussein Cancer Center, Amman, Jordan;Department of Surgical Oncology, King Hussein Cancer Center, Amman, Jordan;Department of Special Surgery, Jordan, University of Science and Technology, Irbid, Jordan;Radiation Medicine Program, Princess Margaret Cancer Centre, University Health Network, University of Toronto, Toronto, ON, Canada;

关键词: Laryngeal cancer;    Total laryngectomy;    Head and neck MRI;    Histopathology;   

DOI  :  10.1186/s40644-023-00618-y

 received in 2023-08-03, accepted in 2023-10-07,  发布年份 2023

来源: Springer

【 摘 要 】

BackgroundAccuracy 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.MethodsPatients 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.ResultsOne 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.ConclusionsIn 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.

【 授权许可】

CC BY   
© International Cancer Imaging Society (ICIS) 2023

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