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全身 FDG PET/MR 预测接受 CAR-T 细胞治疗的复发/难治性大 B 细胞淋巴瘤患者的无进展生存期与总生存期

英文原题:Whole body FDG PET/MR for progression free and overall survival prediction in patients with relapsed/refractory large B-cell lymphomas undergoing CAR T-cell therapy.

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Whole body FDG PET/MR for progression free and overall survival prediction in patients with relapsed/refractory large B-cell lymphomas undergoing CAR T-cell therapy.

PubMed 2022/12/27(内容时间) Cancer Imaging Q1 · IF 4.8(JCR 2025)

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研究概要

MTV、肿瘤 ADC 平均值以及未受肿瘤浸润影响的骨髓中的 FDG 摄取,可能是预测接受 CAR-T 细胞治疗的 r/r LBCL 患者 PFS 和 OS 的 PET/MR 参数。

研究思路结论见上方概要

寻找肿瘤和非恶性淋巴组织(骨髓和脾脏)的半定量和定量正电子发射断层扫描/磁共振(PET/MR)成像指标,用于预测接受嵌合抗原受体(CAR)T细胞治疗的复发/难治性(r/r)大B细胞淋巴瘤(LBCL)患者的无进展生存期(PFS)和总生存期(OS)。

一项单中心前瞻性研究,纳入16例接受CD19靶向CAR-T 细胞治疗的r/r LBCL患者。治疗前及治疗后3周进行全身18F-氟脱氧葡萄糖(FDG)PET/MR成像,随后对肿瘤和淋巴组织进行手动分割。提取半定量和定量指标,并计算治疗后与治疗前之间的指标变化率()。肿瘤指标包括最大标准化摄取值(SUV max)、平均SUV(SUV mean)、代谢肿瘤体积(MTV)、肿瘤病灶糖酵解(TLG)、结构体积(V)、总结构性肿瘤负荷(V total)和平均表观扩散系数(ADC mean)。对于淋巴组织,提取的指标为骨髓的SUV mean、平均脂肪分数(FF mean)和ADC mean,以及脾脏的SUV mean、V和ADC mean。单因素Cox回归分析检验了提取指标与PFS和OS之间的关系。使用Kaplan-Meier分析生成生存曲线,并使用log-rank检验进行比较,以中位数进行二分类。未校正p值 < 0.05被认为具有统计学显著性。进行了多重比较校正,以错误发现率(FDR)< 0.05被认为具有统计学显著性。

治疗前(p < 0.05,FDR < 0.05)和(p < 0.05,FDR > 0.05)的总肿瘤负荷结构和代谢指标与 PFS 和/或 OS 相关。根据 Kaplan-Meier 分析,治疗前 MTV 39.5 ml、MTV 1.35 和 TLG 1.35 的患者获得了更长的 PFS。SUV max 与 PFS 相关(p < 0.05,FDR > 0.05),而 ADC mean 与 PFS 和 OS 均相关(p < 0.05,FDR > 0.05)。在 Kaplan-Meier 分析中,ADC mean > 0.92 可获得更长的 PFS 和 OS。治疗前骨髓 SUV mean 与 PFS(p < 0.05,FDR < 0.05)和 OS(p < 0.05,FDR > 0.05)相关。对于骨髓 FDG 摄取,治疗前可进行患者分层(SUV mean 1.8)。

展开英文摘要原文

To find semi-quantitative and quantitative Positron Emission Tomography/Magnetic Resonance (PET/MR) imaging metrics of both tumor and non-malignant lymphoid tissue (bone marrow and spleen) for Progression Free Survival (PFS) and Overall Survival (OS) prediction in patients with relapsed/refractory (r/r) large B-cell lymphoma (LBCL) undergoing Chimeric Antigen Receptor (CAR) T-cell therapy.

A single-center prospective study of 16 r/r LBCL patients undergoing CD19-targeted CAR T-cell therapy. Whole body 18F-fluorodeoxyglucose (FDG) PET/MR imaging pre-therapy and 3 weeks post-therapy were followed by manual segmentation of tumors and lymphoid tissues. Semi-quantitative and quantitative metrics were extracted, and the metric-wise rate of change ( ) between post-therapy and pre-therapy calculated. Tumor metrics included maximum Standardized Uptake Value (SUV max ), mean SUV (SUV mean ), Metabolic Tumor Volume (MTV), Tumor Lesion Glycolysis (TLG), structural volume (V), total structural tumor burden (V total ) and mean Apparent Diffusion Coefficient (ADC mean ). For lymphoid tissues, metrics extracted were SUV mean , mean Fat Fraction (FF mean ) and ADC mean for bone marrow, and SUV mean , V and ADC mean for spleen. Univariate Cox regression analysis tested the relationship between extracted metrics and PFS and OS. Survival curves were produced using Kaplan-Meier analysis and compared using the log-rank test, with the median used for dichotomization. Uncorrected p-values < 0.05 were considered statistically significant. Correction for multiple comparisons was performed, with a False Discovery Rate (FDR) < 0.05 considered statistically significant.

Pre-therapy (p < 0.05, FDR < 0.05) and (p < 0.05, FDR > 0.05) total tumor burden structural and metabolic metrics were associated with PFS and/or OS. According to Kaplan-Meier analysis, a longer PFS was reached for patients with pre-therapy MTV 39.5 ml, MTV 1.35 and TLG 1.35. SUV max was associated with PFS (p < 0.05, FDR > 0.05), while ADC mean was associated with both PFS and OS (p < 0.05, FDR > 0.05). ADC mean > 0.92 gave longer PFS and OS in the Kaplan-Meier analysis. Pre-therapy bone marrow SUV mean was associated with PFS (p < 0.05, FDR < 0.05) and OS (p < 0.05, FDR > 0.05). For bone marrow FDG uptake, patient stratification was possible pre-therapy (SUV mean 1.8).

MTV, tumor ADC mean and FDG uptake in bone marrow unaffected by tumor infiltration are possible PET/MR parameters for prediction of PFS and OS in r/r LBCL treated with CAR T-cells. TRIAL REGISTRATION: EudraCT 2016-004043-36.

论文信息

作者
Sjöholm T、Korenyushkin A、Gammelgård G、Sarén T、Lövgren T、Loskog A、Essand M、Kullberg J
单位
Department of Surgical Sciences, Uppsala University, Uppsala, Sweden. therese.sjoholm@surgsci.uu.se.Sweden
期刊
Cancer imaging : the official publication of the International Cancer Imaging Society2022 Dec 27
原文标识
PubMed 36575477 · DOI 10.1186/s40644-022-00513-y