对分化良好的 2 级和 3 级胃肠胰腺神经内分泌肿瘤患者进行体生长激素受体/18F-FDG PET/CT 双重成像检查

Ur Metser, Jose E. Nunez, David Chan, Roshini Kulanthaivelu, Vanessa Murad, Anna T. Santiago, Simron Singh
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引用次数: 0

摘要

我们的目的是对分化良好(WD)的2级和3级胃肠胰腺(GEP)神经内分泌肿瘤(NET)的NETPET评分分布进行前瞻性评估,并确定NETPET评分对临床管理的影响。研究方法这项经机构伦理审查委员会批准的单臂前瞻性研究纳入了40例经组织学证实的WD GEP NETs患者。68Ga-DOTATATE PET 和 18F-FDG PET 在 21 天内同时进行。每名患者最多可选择 10 个标记病灶,由两名审查员对 NETPET 评分进行定性评估。评估的定量参数包括每种示踪剂的标记病灶 SUVmax;18F-FDG/68Ga-DOTATATE SUVmax 比值;68Ga-DOTATATE 和 18F-FDG PET 上分别显示的功能性肿瘤体积(FTV)和代谢性肿瘤体积(MTV);以及 FTV/MTV 比值。记录18F-FDG PET前后的治疗方案。结果:22名男性和18名女性(平均年龄60.8岁)患有2级(24人)或3级(16人)肿瘤,平均Ki-67指数为16.1%。NETPET评分为P0、P1、P2A、P2B、P3B、P4B和P5的患者分别有2人(5%)、5人(12.5%)、5人(12.5%)、20人(50%)、2人(5%)、4人(10%)和2人(5%)。68Ga-DOTATATE检测的靶病灶SUVmax与18F-FDG PET检测的靶病灶SUVmax之间没有关联(P = 0.505)。18F-FDG/68Ga-DOTATATE SUVmax比值在原发性NETPET评分低(P1-P2)的患者中明显低于原发性NETPET评分高(P3-P5)的患者(平均值±标清,分别为0.20±0.13和1.68±1.44;P <0.001)。在 18F-FDG PET 上,原发性 NETPET 评分低的患者的 MTV 明显低于原发性 NETPET 评分高的患者(平均值(± SD)分别为 464 ± 601 立方厘米和 66 ± 114 立方厘米;P = 0.005)。42.5% 的患者在接受 18F-FDG PET 治疗后改变了治疗方法,其中最常见的是从全身治疗改为肽受体放射性核素治疗,以及从切除手术改为全身治疗。结论WD 2级和3级GEP NET患者的NETPET评分分布不均,每5名患者中就有1名以上的患者NETPET评分较高,18F-FDG PET后的治疗方案也经常发生变化。包括靶病灶中 18F-FDG/68Ga-DOTATATE SUVmax 比率和 FTV/MTV 比率在内的定量参数可以区分 NETPET 评分高和低的患者。
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Dual Somatostatin Receptor/18F-FDG PET/CT Imaging in Patients with Well-Differentiated, Grade 2 and 3 Gastroenteropancreatic Neuroendocrine Tumors

Our purpose was to prospectively assess the distribution of NETPET scores in well-differentiated (WD) grade 2 and 3 gastroenteropancreatic (GEP) neuroendocrine tumors (NETs) and to determine the impact of the NETPET score on clinical management. Methods: This single-arm, institutional ethics review board–approved prospective study included 40 patients with histologically proven WD GEP NETs. 68Ga-DOTATATE PET and 18F-FDG PET were performed within 21 d of each other. NETPET scores were evaluated qualitatively by 2 reviewers, with up to 10 marker lesions selected for each patient. The quantitative parameters that were evaluated included marker lesion SUVmax for each tracer; 18F-FDG/68Ga-DOTATATE SUVmax ratios; functional tumor volume (FTV) and metabolic tumor volume (MTV) on 68Ga-DOTATATE and 18F-FDG PET, respectively; and FTV/MTV ratios. The treatment plan before and after 18F-FDG PET was recorded. Results: There were 22 men and 18 women (mean age, 60.8 y) with grade 2 (n = 24) or grade 3 (n = 16) tumors and a mean Ki-67 index of 16.1%. NETPET scores of P0, P1, P2A, P2B, P3B, P4B, and P5 were documented in 2 (5%), 5 (12.5%), 5 (12.5%) 20 (50%), 2 (5%), 4 (10%), and 2 (5%) patients, respectively. No association was found between the SUVmax of target lesions on 68Ga-DOTATATE and the SUVmax of target lesions on 18F-FDG PET (P = 0.505). 18F-FDG/68Ga-DOTATATE SUVmax ratios were significantly lower for patients with low (P1–P2) primary NETPET scores than for those with high (P3–P5) primary NETPET scores (mean ± SD, 0.20 ± 0.13 and 1.68 ± 1.44, respectively; P < 0.001). MTV on 18F-FDG PET was significantly lower for low primary NETPET scores than for high ones (mean ± SD, 464 ± 601 cm3 and 66 ± 114 cm3, respectively; P = 0.005). A change in the type of management was observed in 42.5% of patients after 18F-FDG PET, with the most common being a change from systemic therapy to peptide receptor radionuclide therapy and from debulking surgery to systemic therapy. Conclusion: There was a heterogeneous distribution of NETPET scores in patients with WD grade 2 and 3 GEP NETs, with more than 1 in 5 patients having a high NETPET score and a frequent change in management after 18F-FDG PET. Quantitative parameters including 18F-FDG/68Ga-DOTATATE SUVmax ratios in target lesions and FTV/MTV ratios can discriminate between patients with high and low NETPET scores.

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