The potential application of MR-derived ADCmin values from (68)Ga-DOTATATE and (18)F-FDG dual tracer PET/MR as replacements for FDG PET in assessment of grade and stage of pancreatic neuroendocrine tumors.
The potential application of MR-derived ADCmin values from (68)Ga-DOTATATE and (18)F-FDG dual tracer PET/MR as replacements for FDG PET in assessment of grade and stage of pancreatic neuroendocrine tumors.
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DOI：
10.1186/s13550-023-00960-z
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发表时间：
2023-02-08
期刊：
影响因子：
3.2
通讯作者：
中科院分区：
文献类型：
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评估 68Ga-DOTATATE 和 18F-FDG PET/MR 在预测胰腺神经内分泌肿瘤 (PNET) 分级和分期方面的实用性，并检查从 FDG PET 获得的参数与扩散加权成像 (DWI) MR 参数之间的相关性。 2020 年 4 月至 2022 年 5 月期间，对 46 名经组织学证实患有 PNET 的个体进行了一项使用 68Ga-DOTATATE 和 18F-FDG PET/MR 成像的回顾性研究。 FDG的代谢肿瘤体积（MTV）、最大标准化摄取值（FSUVmax）和肿瘤病灶糖酵解（TLG）； DOTATATE 的生长抑素受体密度 (SRD)、最大标准化摄取值 (GSUVmax) 和总病变生长抑素受体密度 (TLSRD)；以及 MRI 的最小和平均表观扩散系数（ADCmin 和 ADCmean）值。我们进行了 Spearman 相关分析，以检查这些变量与原发肿瘤分期和分级之间的联系。较高的 PNET 分级与较高的 FSUVmax、MTV 和 TLG 值相关（P < 0.05）。 TLG、SRD、ADCmin 和 ADCmean 值与 N 分期相关，而 SRD、MTV、ADCmin、TLG 和 ADCmean 与 M 分期相关。值得注意的是，ADCmin 与 FSUVmax（r = − 0.52；P < 0.001）、MTV（r = − 0.50；P < 0.001）和 TLG（r = − 0.56；P < 0.001）之间呈负相关； P < 0.001）。这项研究强调了 FDG PET 衍生参数与 ADCmin 之间的显着相关关系。 ADCmin 可以作为 PNET 分期和分级工具替代 FDG PET。在对原发性 PNET 进行分级和分期时，单独使用 68Ga-DOTATATE PET/MR 可能足以替代双示踪剂 PET/MR。
To evaluate the utility of 68Ga-DOTATATE and 18F-FDG PET/MR for prediction of grade and stage of pancreatic neuroendocrine tumors (PNETs), and to examine the correlation between parameters obtained from FDG PET and diffusion-weighted imaging (DWI) MR parameters. A retrospective study using 68Ga-DOTATATE and 18F-FDG PET/MR imaging was performed between April 2020 and May 2022 on 46 individuals with histologically confirmed PNETs. Metabolic tumor volume (MTV), maximum standardized uptake value (FSUVmax), and tumor lesion glycolysis (TLG) for FDG; somatostatin receptor density (SRD), maximum standardized uptake value (GSUVmax), and total lesion somatostatin receptor density (TLSRD) for DOTATATE; and minimum and mean apparent diffusion coefficient (ADCmin and ADCmean) values for MRI, respectively. We performed Spearman’s correlation analysis to examine the links between these variables and primary tumor stage and grading. Higher PNET grading was associated with higher FSUVmax, MTV, and TLG values (P < 0.05). TLG, SRD, ADCmin, and ADCmean values were correlated with N staging, while SRD, MTV, ADCmin, TLG, and ADCmean were associated with M staging. Notably, ADCmin was a negative correlation between FSUVmax (r = − 0.52; P < 0.001), MTV (r = − 0.50; P < 0.001), and TLG (r = − 0.56; P < 0.001). This study highlights significant correlative relationships between FDG PET-derived parameters and ADCmin. ADCmin may offer utility as a tool for PNET staging and grading in lieu of FDG PET. 68Ga-DOTATATE PET/MR alone may be a sufficient alternative to dual tracer PET/MR when conducting grading and staging of primary PNETs.
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DOI：
10.1007/s00259-022-05848-z
发表时间：
2022-10
影响因子：
9.1
作者：
Rufini, Vittoria;Lorusso, Margherita;Inzani, Frediano;Pasciuto, Tina;Triumbari, Elizabeth Katherine Anna;Grillo, Lucia Rosalba;Locco, Filippo;Margaritora, Stefano;Pescarmona, Edoardo;Rindi, Guido
通讯作者：
Rindi, Guido
影响因子：
2.8
作者：
Hu, Shidong;Xing, Xiaowei;Liu, Jiajin;Liu, Xi;Li, Jinhang;Jin, Wei;Li, Songyan;Yan, Yang;Teng, Da;Liu, Boyan;Wang, Yufeng;Xu, Baixuan;Du, Xiaohui
通讯作者：
Du, Xiaohui
影响因子：
2.6
作者：
Mosavi, F.;Wassberg, C.;Ahlstrom, H.
通讯作者：
Ahlstrom, H.
影响因子：
7.5
作者：
Scarpa, Aldo;Mantovani, William;Falconi, Massimo
通讯作者：
Falconi, Massimo
影响因子：
5.7
作者：
Sharma, Rohini;Wang, Wai Meng;Barwick, Tara D.
通讯作者：
Barwick, Tara D.