(18)F-FDG PET-CT在不同组织病理学分级滤泡性淋巴瘤中的预后价值和成像特征]。

T Zhao, M Bai, R Wang, M Zhao, R R Tian, J Xing, Y M Lin, J Zhou, L Yuan
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引用次数: 0

摘要

滤泡性淋巴瘤(FL)具有高度异质性,组织病理学分级各不相同。其生物学特征和临床治疗也各不相同。本研究回顾性分析了山西省肿瘤医院161例不同组织病理学分级(1-2级、3A级、3B级)的滤泡性淋巴瘤患者的(18)F-FDG PET-CT代谢指标、临床特征及其与预后的关系。其中,1-2级93例,3A级40例,3B级28例。LDH、CD10、EZH2、c-Myc和CD37蛋白的表达与组织学分级(1-2级、3A级和3B级)相关(均为P值P值P值2.3 μg/L)、滤泡性淋巴瘤国际预后指数-1(FLIPI-1)评分(3-5分)、CD37表达阴性、c-Myc表达阳性和TLG(>2 342.55 g)都是FL患者PFS的独立危险因素(HR=3.609、2.509、0.255、3.506、13.531,均为P值)。
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[Prognostic value and imaging features of (18)F-FDG PET-CT in follicular lymphoma with different histopathology grade].

Follicular lymphoma (FL) is highly heterogeneous with different histopathologic grades. Its biological characteristics and clinical management are different. This study retrospectively analyzed (18)F-FDG PET-CT metabolic parameters, clinical features, and their relationship with prognosis in 161 FL patients with different histopathological grades (grade 1-2, grade 3A, grade 3B) at the Shanxi Cancer Hospital. There were 93 cases in the grade 1-2 group, 40 cases in the grade 3A group, and 28 cases in the grade 3B group. The expression of LDH, CD10, EZH2, c-Myc, and CD37 proteins was correlated with histological grade (grade 1-2, grade 3A, and grade 3B) (all P values<0.05) . The SUVmax, TLG, TBR, and TLR for the three groups were different (all P values<0.05) . The optimal thresholds of SUVmax, MTV, TLG, TBR, and TLR for predicting FL disease progression were 8.32, 201.31, 2 342.55, 6.56, and 3.52, respectively, and the rate of disease progression increased in patients with higher thresholds (all P value<0.05) . β(2)-MG (>2.3 μg/L) , Follicular lymphoma international prognostic index-1 (FLIPI-1) score (3-5 points) , negative CD37 expression, positive c-Myc expression, and TLG (>2 342.55 g) were all independent risk factors for PFS in the FL patients (HR=3.609, 2.509, 0.255, 3.506, 13.531, all P value<0.05) . (18)F-FDG PET-CT is a powerful complement to FL histopathological grading and the combination of the two may better predict the prognosis of FL patients.

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