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第43卷第2期                           南京医科大学学报(自然科学版)
                  2023年2月                   Journal of Nanjing Medical University(Natural Sciences)     ·249 ·


               ·临床医学·

                基线 F⁃FDG PET/CT代谢参数在ENKTL中的预后价值
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                孙   寒,丁重阳,丁        威,巩环宇,周紫薇,唐立钧           *
                南京医科大学第一附属医院核医学科,江苏 南京                  210029




               [摘   要] 目的:探讨结外 NK/T 细胞淋巴瘤(extranodal natural killer/T⁃cell lymphoma,ENKTL)患者基线 F⁃脱氧葡萄糖( F⁃
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                fluorodeoxy glucose,F⁃FDG)正电子发射计算机断层显像(positron emission tomography/computed tomography,PET/CT)代谢参数
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                的预后价值。方法:回顾性分析83例初诊ENKTL患者治疗前的临床及PET/CT资料。以最大标准摄取值(maximum standard⁃
                ized uptake value,SUVmax)的41%作为阈值,获得全身病灶的SUVmax、肿瘤代谢总体积(total metabolic tumor volume,TMTV)和
                糖酵解总量(totallesion glycolysis,TLG)。Kaplan⁃Meier 曲线和 Log⁃rank 检验用于生存分析,多因素分析使用 Cox 比例风险回
                归。结果:中位随访21.6(8.9,38.3)个月,其中37(44.6%)例患者进展,32(38.6%)例死亡。受试者工作特征(receiver⁃operating
                characteristic,ROC)曲线获得 SUVmax、TMTV、TLG 预测预后的最佳临界值分别为 16.7、64.9 cm 和 490.4。单因素分析显示高
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                SUVmax、TMTV、TLG与较差的无进展生存(progression⁃free survival,PFS)率和总生存(overall survival,OS)率有关。多因素分析
                表明TMTV、TLG和NK细胞淋巴瘤预后指数(prognostic index of natural killer lymphoma,PINK)是影响PFS(HR 5.411,P=0.001;
                HR 7.905,P < 0.001;HR 2.858,P=0.011)与 OS(HR 6.137,P=0.002;HR 8.014,P < 0.001;HR 2.666,P=0.023)的独立危险因素,
                治疗模式和β2⁃微球蛋白(β2⁃microglobulin,β2⁃MG)分别为 PFS 和 OS 的独立预后因素(HR 2.323,P=0.021;HR 2.627,P=
                0.021)。TMTV与PINK评分结合可以优化预后分层。结论:ENKTL患者基线高SUVmax、TMTV、TLG可以预测不良预后,TM⁃
                TV、TLG和PINK评分为PFS和OS的独立预测因子。此外,TMTV和PINK联合可以更好地对患者进行风险分层。
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               [关键词] ENKTL;预后;PET/CT;F⁃FDG
               [中图分类号] R814.42                   [文献标志码] A                      [文章编号] 1007⁃4368(2023)02⁃249⁃08
                doi:10.7655/NYDXBNS20230215



                The prognostic role of 18F ⁃ FDG PET/CT baseline metabolic parameters in extranodal
                natural killer/T⁃cell lymphoma
                SUN Han,DING Chongyang,DING Wei,GONG Huanyu,ZHOU Ziwei,TANG Lijun     *
                Department of Nuclear Medicine,the First Affiliated Hospital of Nanjing Medical University,Nanjing 210029,China


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               [Abstract] Objective:The aim of this study was to investigate the prognostic role of baseline metabolic parameters of F ⁃
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                fluorodeoxyglucose positron emission tomography/computed tomography( F⁃FDG PET/ CT)imaging in patients with extranodal natural
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                killer/T⁃cell lymphoma(ENKTL). Methods:Eighty⁃three patients newly diagnosed with ENKTL who underwent pretreatment F⁃FDG
                PET/CT scans were enrolled in this study. The baseline maximum standardized uptake value(SUVmax),total metabolic tumor volume
               (TMTV),total lesion glycolysis(TLG),and clinical characteristics were collected for the retrospective analysis. TMTV was defined
                using the 41% SUVmax threshold. Kaplan ⁃ Meier curve(Log ⁃ rank test)was used for survival analysis. The statistically significant
                factors in the univariate analysis were incorporated into the Cox proportional hazards model for multivariate survival analysis. Results:
                Thirty⁃seven(44.6%)patients progressed and 32(38.6%)patients died within a median follow⁃up time of 21.6(8.9,38.3)months. The
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                receiver operating curve(ROC)analysis indicated that the optimal cut⁃off values of SUVmax,TMTV and TLG were 16.7,64.9 cm and
                490.4,respectively.Patients with higher SUVmax,TMTV and TLG had worse prognosis. In multivariate analysis,TMTV,TLG and
                prognostic index of natural killer lymphoma(PINK)were independent prognostic factors of both PFS(HR 5.411,P=0.001;HR 7.905,
                P < 0.001;HR 2.858,P=0.011)and OS(HR 6.137,P=0.002;HR 8.014,P < 0.001;HR 2.666,P=0.023),treatment mode and β2⁃
                microglobulin(β2 ⁃ MG)were independent prognostic predictors of PFS and OS,respectively(HR 2.323,P=0.021;HR 2.627,P=

               [基金项目] 江苏省医学重点人才基金(ZDRCB2016003)
                ∗
                通信作者(Corresponding author),E⁃mail:tanglijun@njmu.edu.cn
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