Diagnosis and Monitoring Value of Diffusion-Weighted Magnetic Resonance Imaging Using Neuroendocrine Analysis During Radiotherapy for Laryngeal Cancer

Meng, Weifen; Yang, Xu; Zheng, Suhua; Wang, Mengjie; Ding, Cai-Yan; Qi, Chunjian; Yue, Jingyan

doi:10.1016/j.wneu.2020.01.018

Cited by 2 publications

(1 citation statement)

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“…Such imaging modalities can differentiate between tumor and peritumoral inflammation involving the thyroid cartilage, which was not possible with conventional HN-MRI [ 7 ]. This level of staging accuracy can lead to better treatment planning and outcomes of patients with laryngeal cancer [ 9 ]. Furthermore, continuous advancements in imaging technology and equipment offer the potential to obtain high-quality images of the entire larynx with isotropic resolution of 1 mm, free from any artifacts, in just a matter of minutes [ 10 ].…”

Section: Introductionmentioning

confidence: 99%

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

Mohamad,

Hejleh,

Qandeel

et al. 2023

Cancer Imaging

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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.

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Section: Introductionmentioning

confidence: 99%