Zhaoting Meng1,2, Lingyu Zhang1, Caiyun Huang3, Yingshi Piao4,5, Xiaohong Chen6, Junfang Xian7. 1. Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, DongJiaoMinXiang Street, Dongcheng District, Beijing, 100730, China. 2. Department of PET/MRI, Shanghai Universal Medical Imaging Diagnostic Center, Shanghai, 200233, China. 3. Department of Radiology, Guangxi Medical University Cancer Hospital, Nanning, 530022, China. 4. Department of Pathology, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. 5. Beijing Key Laboratory of Head and Neck Molecular Diagnostic Pathology, Beijing, 100730, China. 6. Department of Otolaryngology, Head and Neck Surgery, Beijing Tongren Hospital, Capital Medical University, Beijing, 100730, China. 7. Department of Radiology, Beijing Tongren Hospital, Capital Medical University, No. 1, DongJiaoMinXiang Street, Dongcheng District, Beijing, 100730, China. cjr.xianjunfang@vip.163.com.
Abstract
PURPOSE: Among head and neck cancers, hypopharyngeal squamous cell carcinoma (HSCC) shows the highest malignancy, which is associated with histologic grading. This study was designed to investigate whether quantitative parameters derived from 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (18F-FDG PET/MRI) can preoperatively estimate the histologic grade of HSCC. METHODS: 18F-FDG PET/MRI of neck was successfully performed in 21 patients with histologically proven HSCC including poorly differentiated group (ten patients) and well-moderately differentiated group (eleven patients). Quantitative parameters derived from FDG-PET, diffusion-weighted imaging (DWI), and dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) were calculated based on volume of interest drawn on the tumor and compared between two groups. The efficacy of quantitative parameters for the estimation of histologic grades of HSCC was evaluated. RESULTS: There were statistically significant differences in mean value of standard uptake value (SUV), apparent diffusion coefficient (ADC), and Ktrans derived from 18F-FDG PET/MRI of HSCC between two groups (p < 0.05). There was no statistically significant difference in other quantitative parameters derived from 18F-FDG PET/MRI of HSCC between two groups. The area under the curve (AUC) of the combination of SUVmean, ADCmean, and Ktrans in the estimation of histologic grade of HSCC was 0.936 with sensitivity of 90.0% and specificity of 81.8%. CONCLUSION: The combination of SUVmean, ADCmean, and Ktrans derived from 18F-FDG PET/MRI can accurately predict the histologic grade of HSCC preoperatively.
PURPOSE: Among head and neck cancers, hypopharyngeal squamous cell carcinoma (HSCC) shows the highest malignancy, which is associated with histologic grading. This study was designed to investigate whether quantitative parameters derived from 18F-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging (18F-FDG PET/MRI) can preoperatively estimate the histologic grade of HSCC. METHODS: 18F-FDG PET/MRI of neck was successfully performed in 21 patients with histologically proven HSCC including poorly differentiated group (ten patients) and well-moderately differentiated group (eleven patients). Quantitative parameters derived from FDG-PET, diffusion-weighted imaging (DWI), and dynamic contrast enhanced-magnetic resonance imaging (DCE-MRI) were calculated based on volume of interest drawn on the tumor and compared between two groups. The efficacy of quantitative parameters for the estimation of histologic grades of HSCC was evaluated. RESULTS: There were statistically significant differences in mean value of standard uptake value (SUV), apparent diffusion coefficient (ADC), and Ktrans derived from 18F-FDG PET/MRI of HSCC between two groups (p < 0.05). There was no statistically significant difference in other quantitative parameters derived from 18F-FDG PET/MRI of HSCC between two groups. The area under the curve (AUC) of the combination of SUVmean, ADCmean, and Ktrans in the estimation of histologic grade of HSCC was 0.936 with sensitivity of 90.0% and specificity of 81.8%. CONCLUSION: The combination of SUVmean, ADCmean, and Ktrans derived from 18F-FDG PET/MRI can accurately predict the histologic grade of HSCC preoperatively.
Authors: Carlos Miguel Chiesa-Estomba; Maria Soriano-Reixach; Ekhiñe Larruscain-Sarasola; Jon Alexander Sistiaga-Suarez; Jose Angel González-García; Amaia Sanchez-Martin; Laura Basterretxea-Badiola; Naiara Sagastibelta; Xabier Altuna-Mariezcurrena Journal: Eur Arch Otorhinolaryngol Date: 2021-02-07 Impact factor: 2.503
Authors: Eric M Anderson; Michael Luu; Bonnie L Balzer; Kevin S Scher; Alain C Mita; Diana J Lu; Stephen L Shiao; Jon Mallen-St Clair; Allen S Ho; Zachary S Zumsteg Journal: Head Neck Date: 2020-12-10 Impact factor: 3.147
Authors: Martine F van der Kamp; Friso O W Muntinghe; René S Iepsma; Boudewijn E C Plaat; Bernard F A M van der Laan; Ayat Algassab; Roel J H M Steenbakkers; Max J H Witjes; Boukje A C van Dijk; Geertruida H de Bock; Gyorgy B Halmos Journal: Eur Arch Otorhinolaryngol Date: 2020-06-15 Impact factor: 2.503