关键词: 18F-FDG PET/CT Desmoid tumor Metabolic tumor volume Prognosis Total lesion glycolysis

Mesh : Humans Fluorodeoxyglucose F18 Positron Emission Tomography Computed Tomography Fibromatosis, Aggressive / diagnostic imaging therapy Watchful Waiting Neoplasm Recurrence, Local / diagnostic imaging Prognosis Tumor Burden Retrospective Studies Radiopharmaceuticals

来  源:   DOI:10.1007/s00261-023-04145-z

Abstract:
Desmoid tumor (DT) is a rare monoclonal, fibroblastic proliferation characterized by a variable and often unpredictable clinical course. Initial active surveillance is recommended by current guideline, and surgery is one of the main therapies for DT. Predicting the prognosis and outcome of active surveillance for intra-abdominal DT is pressing issue.
The study included eighteen patients with intra-abdominal DT. Metabolic tumor volume (MTV), total lesion glycolysis (TLG), and maximum standardized uptake value (SUVmax) were measured. We analyzed their relationship with the outcome of active surveillance, as well as clinical, prognostic, and pathological data.
The MTV and TLG of recurrent DT were significantly higher than those of non-recurrent DT (P < 0.001 and P = 0.00, respectively). The ROC curve suggested that the appropriate cutoff values for distinguishing recurrent DT from non-recurrent DT were 760.8 for MTV (sensitivity = 1, specificity = 0.857 and AUC = 0.929), and 1318.4 for TLG (sensitivity = 1, specificity = 0.786, and AUC = 0.911). The cutoff values of MTV and TLG significantly correlated with PFS using the Kaplan-Meier method (P = 0.002 and P = 0.007, respectively). MTV and TLG could distinguish DTs with subsequent progression from stable ones (P = 0.004 and P = 0.004, respectively). The ROC curve suggested that the appropriate cutoff values for distinguishing DTs with subsequent progression from stable ones were 197.1 for MTV (sensitivity = 0.9, specificity = 1, and AUC = 0.900), and 445.45 for TLG (sensitivity = 0.9, specificity = 1, and AUC = 0.900).
Volume-based 18F-FDG-PET can predict prognosis of intra-abdominal DT. MTV and TLG can predict the outcome of active surveillance for intra-abdominal DT. MTV and TLG can potentially be predictors of surgical risk and difficulty.
摘要:
目的:纤维瘤(DT)是一种罕见的单克隆,成纤维细胞增殖的特征是可变的,通常是不可预测的临床过程。当前指南建议进行初始主动监测,手术是DT的主要治疗方法之一。预测腹内DT主动监测的预后和结果是紧迫的问题。
方法:本研究纳入18例腹内DT患者。代谢性肿瘤体积(MTV),总病变糖酵解(TLG),测量最大标准化摄取值(SUVmax)。我们分析了它们与主动监测结果的关系,以及临床,预后,和病理数据。
结果:复发性DT的MTV和TLG明显高于非复发性DT(分别为P<0.001和P=0.00)。ROC曲线表明,MTV区分复发性DT和非复发性DT的适当截断值为760.8(灵敏度=1,特异性=0.857,AUC=0.929),TLG为1318.4(敏感性=1,特异性=0.786,AUC=0.911)。使用Kaplan-Meier方法,MTV和TLG的截止值与PFS显着相关(分别为P=0.002和P=0.007)。MTV和TLG可以将随后进展的DTs与稳定的DTs区分开(分别为P=0.004和P=0.004)。ROC曲线表明,MTV区分有后续进展的DTs与稳定的DTs的适当截断值为197.1(灵敏度=0.9,特异性=1,AUC=0.900),TLG和445.45(敏感性=0.9,特异性=1,AUC=0.900)。
结论:基于体积的18F-FDG-PET可以预测腹腔内DT的预后。MTV和TLG可以预测腹内DT主动监测的结果。MTV和TLG可能是手术风险和难度的潜在预测因子。
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