Won Sub Lim1, Jungsu S Oh2, Jong-Lyel Roh3, Jae Seung Kim2, Soo-Jong Kim2, Seung-Ho Choi1, Soon Yuhl Nam1, Sang Yoon Kim1. 1. Department of Otolaryngology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. 2. Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. 3. Department of Otolaryngology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea. Electronic address: rohjl@amc.seoul.kr.
Abstract
OBJECTIVES: Adenoid cystic carcinoma (AdCC) in the salivary gland shows a high rate of distant metastasis, which is related to the resulting poor prognosis. We therefore examined the role of pretreatment 18F-FDG PET/CT for prediction of distant metastasis, recurrence/progression, and survival in AdCC. METHODS: This study included 52 patients who underwent pretreatment 18F-FDG PET/CT scanning and subsequent treatments for AdCC. Maximum, mean, and peak standardized uptake value (SUVmax, SUVmean, and SUVpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were measured on 18F-FDG PET/CT. Univariate and multivariate Cox proportional hazards regression analyses were used to identify associations between the quantitative measurements of 18F-FDG PET, and progression-free survival (PFS), distant metastasis-free survival (DMFS), and disease-specific survival (DSS). RESULTS: Distant metastases were found in 20 (39%) patients: 6 (12%) at initial diagnosis and 14 (27%) during the median follow-up of 72 months after treatment. Univariate analyses showed that all the 18F-FDG PET parameters of SUVmax, SUVmean, SUVpeak, MTV, and TLG were significantly associated with overall PFS, DMFS, and OS (all P < .05). After controlling for clinicopathological variables, SUVmax remained an independent factor predictive of PFS (P = .001), while MTV and TLG were independent predictors of DMFS (P = .009) and DSS (P = .017). Patients with MTV > 14.8 mL showed a 5.9-fold higher risk of distant metastasis and a 4.2-fold higher risk of disease-specific death than those with a lower MTV. CONCLUSIONS: Quantitative measurements using 18F-FDG PET/CT are useful for predicting tumor progression, distant metastasis, and survival in patients with AdCC.
OBJECTIVES:Adenoid cystic carcinoma (AdCC) in the salivary gland shows a high rate of distant metastasis, which is related to the resulting poor prognosis. We therefore examined the role of pretreatment 18F-FDG PET/CT for prediction of distant metastasis, recurrence/progression, and survival in AdCC. METHODS: This study included 52 patients who underwent pretreatment 18F-FDG PET/CT scanning and subsequent treatments for AdCC. Maximum, mean, and peak standardized uptake value (SUVmax, SUVmean, and SUVpeak), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) were measured on 18F-FDG PET/CT. Univariate and multivariate Cox proportional hazards regression analyses were used to identify associations between the quantitative measurements of 18F-FDG PET, and progression-free survival (PFS), distant metastasis-free survival (DMFS), and disease-specific survival (DSS). RESULTS: Distant metastases were found in 20 (39%) patients: 6 (12%) at initial diagnosis and 14 (27%) during the median follow-up of 72 months after treatment. Univariate analyses showed that all the 18F-FDG PET parameters of SUVmax, SUVmean, SUVpeak, MTV, and TLG were significantly associated with overall PFS, DMFS, and OS (all P < .05). After controlling for clinicopathological variables, SUVmax remained an independent factor predictive of PFS (P = .001), while MTV and TLG were independent predictors of DMFS (P = .009) and DSS (P = .017). Patients with MTV > 14.8 mL showed a 5.9-fold higher risk of distant metastasis and a 4.2-fold higher risk of disease-specific death than those with a lower MTV. CONCLUSIONS: Quantitative measurements using 18F-FDG PET/CT are useful for predicting tumor progression, distant metastasis, and survival in patients with AdCC.
Authors: Sarina K Mueller; Marlen Haderlein; Sebastian Lettmaier; Abbas Agaimy; Florian Haller; Markus Hecht; Rainer Fietkau; Heinrich Iro; Konstantinos Mantsopoulos Journal: J Clin Med Date: 2022-01-29 Impact factor: 4.241
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