期刊论文详细信息
Cancer Imaging
Concordance between head and neck MRI and histopathology in detecting laryngeal subsite invasion among patients with laryngeal cancer
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 Hosni1,10 
[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
PDF
【 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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