Long Zhao1, HuoQiang Wang2, Jingyun Shi3. 1. Department of Nuclear Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. 2. Department of Nuclear Medicine, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. whq2216@sina.cn. 3. Department of Radiology, Shanghai Pulmonary Hospital, School of Medicine, Tongji University, Shanghai, 200092, China. sjy933@sina.com.
Abstract
BACKGROUND: To date, published studies have shown that 18F-FDG PET/CT and CT have limited value in differentiating benign and malignant solitary fibrous tumours of the pleura (SFTP). This study aimed to determine whether the metabolic and morphological characteristics of 18F-FDG PET/CT can be a valuable addition to diagnostic tools for SFTPs. METHODS: From January 2016 to November 2021, we performed a retrospective review in 32 SFTPs patients who underwent 18F-FDG PET/CT scan. All the SFTP diagnoses were confirmed by surgical resection or biopsy samples. The metabolic parameters (including SUVmax, SUVmean, MTV, TLG, and SULmax) were obtained from 18F-FDG PET/CT images. RESULTS: Thirty-two patients with SFTP were consecutively identified. The malignant SFTPs have higher Ki-67 expression (P = 0.005). The study observed that tumour heterogeneity without contrast injection (P = 0.001) and intratumor blood vessels (P = 0.047) were morphological features associated with malignant SFTP. Malignant SFTP was more frequently observed with higher SUVmax values (P = 0.001), higher SUVmean values (P = 0.001), higher TLG values (P = 0.006), and higher SULmax values (P < 0.001). For predicting malignant SFTP, the AUC values of SUVmax, SUVmean, TLG, and SULmax obtained by the area under curve analysis were 0.970 (95% CI 0.907-1.000; P = 0.001), 0.874 (95% CI 0.675-1.000; P = 0.009), 0.807 (95% CI 0.654-0.961; P = 0.031), and 0.911 (95% CI 0.747-1.000; P = 0.004), respectively. CONCLUSION: The study showed that metabolic and morphological features were useful for distinguishing malignant from benign SFTPs.
BACKGROUND: To date, published studies have shown that 18F-FDG PET/CT and CT have limited value in differentiating benign and malignant solitary fibrous tumours of the pleura (SFTP). This study aimed to determine whether the metabolic and morphological characteristics of 18F-FDG PET/CT can be a valuable addition to diagnostic tools for SFTPs. METHODS: From January 2016 to November 2021, we performed a retrospective review in 32 SFTPs patients who underwent 18F-FDG PET/CT scan. All the SFTP diagnoses were confirmed by surgical resection or biopsy samples. The metabolic parameters (including SUVmax, SUVmean, MTV, TLG, and SULmax) were obtained from 18F-FDG PET/CT images. RESULTS: Thirty-two patients with SFTP were consecutively identified. The malignant SFTPs have higher Ki-67 expression (P = 0.005). The study observed that tumour heterogeneity without contrast injection (P = 0.001) and intratumor blood vessels (P = 0.047) were morphological features associated with malignant SFTP. Malignant SFTP was more frequently observed with higher SUVmax values (P = 0.001), higher SUVmean values (P = 0.001), higher TLG values (P = 0.006), and higher SULmax values (P < 0.001). For predicting malignant SFTP, the AUC values of SUVmax, SUVmean, TLG, and SULmax obtained by the area under curve analysis were 0.970 (95% CI 0.907-1.000; P = 0.001), 0.874 (95% CI 0.675-1.000; P = 0.009), 0.807 (95% CI 0.654-0.961; P = 0.031), and 0.911 (95% CI 0.747-1.000; P = 0.004), respectively. CONCLUSION: The study showed that metabolic and morphological features were useful for distinguishing malignant from benign SFTPs.
Authors: S Hélage; M P Revel; M L Chabi; É Audureau; G Ferretti; F Laurent; M Alifano; A Mansuet-Lupo; J N Buy; D Vadrot Journal: Diagn Interv Imaging Date: 2015-11-02 Impact factor: 4.026
Authors: S Salas; N Resseguier; J Y Blay; A Le Cesne; A Italiano; C Chevreau; P Rosset; N Isambert; P Soulie; D Cupissol; C Delcambre; J O Bay; P Dubray-Longeras; M Krengli; B De Bari; S Villa; J H A M Kaanders; S Torrente; D Pasquier; J O Thariat; L Myroslav; C V Sole; H F Dincbas; J Y Habboush; T Zilli; T Dragan; K Khan R; G Ugurluer; T Cena; F Duffaud; N Penel; F Bertucci; D Ranchere-Vince; P Terrier; S Bonvalot; N Macagno; C Lemoine; M Lae; J M Coindre; C Bouvier Journal: Ann Oncol Date: 2017-08-01 Impact factor: 32.976
Authors: Rachel M Mercer; Charlotte Wigston; Radhika Banka; Giuseppe Cardillo; Rachel Benamore; Andrew G Nicholson; Rachelle Asciak; Maged Hassan; Robert J Hallifax; Louise Wing; Eihab O Bedawi; Nick A Maskell; Elinor K Harriss; Robert F Miller; Najib M Rahman Journal: ERJ Open Res Date: 2020-08-17