Department of Radiation Oncology, King Hussein Cancer Center, Amman, Jordan.
Department of Medical Oncology, King Hussein Cancer Center, Amman, Jordan.
Cancer Imaging. 2023 Oct 19;23(1):99. doi: 10.1186/s40644-023-00618-y.
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.
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.
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.
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.
喉癌患者在行喉切除术前行头颈部 MRI(HN-MRI)检查预测肿瘤侵犯声门部位/亚部位的准确性在文献中评价不佳。因此,我们旨在评估 HN-MRI 在准确预测喉癌患者肿瘤侵犯声门亚部位方面的诊断价值。
纳入 2008 年至 2021 年间因癌症分期而行 HN-MRI 检查并接受全喉切除术的喉癌患者。根据 HN-MRI 与组织病理学结果的一致性,计算 HN-MRI 预测声门亚部位肿瘤侵犯的敏感性、特异性、阳性预测值、阴性预测值和总准确性。
137 例患者接受了全喉切除术[原发性:82/137(60%),挽救性:55/137(40%)]。HN-MRI 的应用使 16/137(11.6%)例患者降期,8/137(5.8%)例患者升期。对于整个队列,HN-MRI 与组织病理学对 T 分期的结果存在显著差异;116 例 cT4a 疾病中,102 例(87.9%)证实为 pT4a 疾病,17 例 cT3 疾病中,9 例(52.9%)证实为 pT3 疾病,p<0.001。MRI 对预测肿瘤侵犯的总体诊断准确性分别为舌根、杓状软骨、声带、后联合、会厌前间隙、环状软骨、甲状腺内皮质和声门下区的 91%、92%、82%、87%、72%、76%、65%和 68%。
在行全喉切除术的喉癌患者中,HN-MRI 对预测特定声门亚部位(如舌根)的肿瘤侵犯具有良好的准确性。我们的研究结果表明,HN-MRI 有潜力成为该患者人群术前规划和治疗决策的有价值工具。