Stimulator of interferon gene (STING) protein plays a vital role in the immune surveillance of tumor microenvironment. Monitoring STING expression in tumors benefits the relevant STING therapy. This study will investigate the safety, biodistribution and potential usefulness of a novel 68Ga-labeled agonist ([68Ga]Ga-Sa-DABI-4) for noninvasive positron emission tomography (PET) imaging of STING expression in the tumor microenvironment.

Start Date21 May 2024

Sponsor / Collaborator

Chongqing Medical University /The First Affiliated Hospital/

100 Clinical Results associated with [68Ga]Ga-Sa-DABI-4

100 Translational Medicine associated with [68Ga]Ga-Sa-DABI-4

100 Patents (Medical) associated with [68Ga]Ga-Sa-DABI-4

Literatures (Medical) associated with [68Ga]Ga-Sa-DABI-4

01 Jun 2024·Translational Cancer Research

Head-to-head comparison of [68Ga]Ga-FAPI-04 PET and [18F]FDG PET in the detection of cancer recurrence: a systematic review and meta-analysis

Article

Author: Huang, Chao ; Wang, Chen ; Wu, Qinchao ; Li, Dan

BackgroundThe comparative diagnostic performance of [⁶⁸Ga]Ga-fibroblast activation protein inhibitors-04 {[⁶⁸Ga]Ga-FAPI-04} positron emission tomography (PET) and fluorodeoxyglucose F 18 {[¹⁸F]FDG} PET in identifying cancer recurrence remains uncertain. The purpose of our study was to compare the diagnostic performance of [⁶⁸Ga]Ga-FAPI-04 PET and [¹⁸F]FDG PET imaging in cancer recurrence.MethodsUp until March 1, 2024, we searched PubMed, Embase, and Web of Science for pertinent papers. Studies examining the diagnostic utility of [⁶⁸Ga]Ga-FAPI-04 PET and [18F]FDG PET for cancer recurrence were included. Using a bivariate fixed-effect model and random-effect model, the pooled sensitivity and specificity for [⁶⁸Ga]Ga-FAPI-04 PET and [¹⁸F]FDG PET were reported as estimates with 95% confidence intervals (CIs). The I2 statistic was used to evaluate the heterogeneity among the pooled studies. The included studies' quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) approach.ResultsIn all, 508 papers were found during the first search; ultimately, 12 studies totaling 224 patients were included. The pooled sensitivity of [⁶⁸Ga]Ga-FAPI-04 PET and [¹⁸F]FDG PET for cancer recurrence were 0.97 (95% CI: 0.90-1.00) and 0.69 (95% CI: 0.60-0.77). The pooled sensitivity of [⁶⁸Ga]Ga-FAPI-04 PET and [¹⁸F]FDG PET for gastrointestinal cancer recurrence were 1.00 (95% CI: 0.97-1.00) and 0.57 (95% CI: 0.42-0.74). The pooled specificity of [⁶⁸Ga]Ga-FAPI-04 PET and [¹⁸F]FDG PET for gastrointestinal cancer recurrence were 0.66 (95% CI: 0.15-1.00) and 0.46 (95% CI, 0.00-1.00).ConclusionsBased on the previous studies, [⁶⁸Ga]Ga-FAPI-04 PET shows higher sensitivity compared to [¹⁸F]FDG PET in detecting tumor recurrence, especially in detecting gastrointestinal cancer recurrence. [⁶⁸Ga]Ga-FAPI-04 PET shows similar specificity compared to [¹⁸F]FDG PET in detecting gastrointestinal cancer recurrence. The detection results, however, came from investigations using modest sample numbers. In this matter, more extensive prospective study is required.

01 Jan 2024·Asia Oceania journal of nuclear medicine & biology

On the Optimization of the Protocol for Automated Radiosyntheses of [⁶⁸Ga]Ga-Pentixafor, [⁶⁸Ga]Ga-FAPI-4 and [⁶⁸Ga]Ga-DOTATATE in a Modular-Lab Standard.

Article

Author: Sahu, Sudeep ; Lad, Sangita ; Ray, Mukti Kanta ; Banerjee, Sharmila ; Chakraborty, Avik ; Menon, Sreeja Raj ; Mitra, Arpit

ObjectivesThe present work describes the automated radiochemical synthesis of different PET tracers like [⁶⁸Ga]Ga-Pentixafor, [⁶⁸Ga]Ga-FAPI-4 and [⁶⁸Ga]Ga-DOTATATE using optimized single protocol in the non-cassette based Eckert & Ziegler (EZ) Modular Lab (fixed tubing system) without any modification in the inbuilt human machine interface (HMI) software. Recently, PET agents viz. [⁶⁸Ga]Ga-Pentixafor and [⁶⁸Ga]Ga-FAPI-4 are gaining prominence for the diagnosis of overexpressed Chemokine Receptor-4 (CXCR4) and Fibroblast Activation Protein (FAP) receptor, respectively, in the microenvironment of numerous cancer types. The promising results observed with the clinical usage of [⁶⁸Ga]Ga-DOTATATE produced using the automated protocol, provided impetus for the clinical translation of [⁶⁸Ga]Ga-Pentixafor and [⁶⁸Ga]Ga-FAPI-4 using the in-house developed automated radiolabeling protocol.MethodsHerein we report a single radiolabeling protocol for the automated preparation of [⁶⁸Ga]Ga-Pentixafor and [⁶⁸Ga]Ga-FAPI-4 in the non-cassette based EZ Modular-Lab Standard radiochemistry module, without any changes in schematic, graphical user interface (GUI) software and time list, from that used for routine production of [⁶⁸Ga]Ga-DOTATATE in our centre, since 2015. Physico-chemical quality control and in-vitro stability analyses were carried out using radio-TLC and radio-HPLC.ResultsThe automated protocol yielded reliable and consistent non-decay corrected (ndc) radiochemical yield (RCY) of (84.4%±0.9%) and (85.5%±1.4%) respectively, for [⁶⁸Ga]Ga-Pentixafor and [⁶⁸Ga]Ga-FAPI-4, with RCP>98%, which are comparable to the RCY of (84.4%±1.2%) and RCP (99.1%±0.3%) for [⁶⁸Ga]Ga-DOTATATE. The biological quality control studies confirmed the formulations to be of ready-to-use pharmaceutical grade.ConclusionThe consistent and reliable RCY and RCP of multiple ⁶⁸Ga-labeled PET tracers by single automated radiochemistry protocol exhibits the versatility of the EZ Modular Lab.

EJNMMI Physics

Bidirectional dynamic frame prediction network for total-body [68Ga]Ga-PSMA-11 and [68Ga]Ga-FAPI-04 PET images

Article

Author: Zheng, Hairong ; Li, Wenbo ; Yang, Xinlan ; Gao, Yunlong ; Liu, Jianjun ; Zhao, Wenjie ; Yang, Qianyi ; Chen, Ruohua ; Hu, Zhanli ; Huang, Zhenxing ; Yang, Yongfeng ; Liang, Dong ; Chen, Zixiang

PURPOSETotal-body dynamic positron emission tomography (PET) imaging with total-body coverage and ultrahigh sensitivity has played an important role in accurate tracer kinetic analyses in physiology, biochemistry, and pharmacology. However, dynamic PET scans typically entail prolonged durations ([Formula: see text]60 minutes), potentially causing patient discomfort and resulting in artifacts in the final images. Therefore, we propose a dynamic frame prediction method for total-body PET imaging via deep learning technology to reduce the required scanning time.METHODSOn the basis of total-body dynamic PET data acquired from 13 subjects who received [⁶⁸Ga]Ga-FAPI-04 (⁶⁸Ga-FAPI) and 24 subjects who received [⁶⁸Ga]Ga-PSMA-11 (⁶⁸Ga-PSMA), we propose a bidirectional dynamic frame prediction network that uses the initial and final 10 min of PET imaging data (frames 1-6 and frames 25-30, respectively) as inputs. The peak signal-to-noise ratio (PSNR) and structural similarity index measure (SSIM) were employed as evaluation metrics for an image quality assessment. Moreover, we calculated parametric images (⁶⁸Ga-FAPI: [Formula: see text], ⁶⁸Ga-PSMA: [Formula: see text]) based on the supplemented sequence data to observe the quantitative accuracy of our approach. Regions of interest (ROIs) and statistical analyses were utilized to evaluate the performance of the model.RESULTSBoth the visual and quantitative results illustrate the effectiveness of our approach. The generated dynamic PET images yielded PSNRs of 36.056 ± 0.709 dB for the ⁶⁸Ga-PSMA group and 33.779 ± 0.760 dB for the ⁶⁸Ga-FAPI group. Additionally, the SSIM reached 0.935 ± 0.006 for the ⁶⁸Ga-FAPI group and 0.922 ± 0.009 for the ⁶⁸Ga-PSMA group. By conducting a quantitative analysis on the parametric images, we obtained PSNRs of 36.155 ± 4.813 dB (⁶⁸Ga-PSMA, [Formula: see text]) and 43.150 ± 4.102 dB (⁶⁸Ga-FAPI, [Formula: see text]). The obtained SSIM values were 0.932 ± 0.041 (⁶⁸Ga-PSMA) and 0.980 ± 0.011 (⁶⁸Ga-FAPI). The ROI analysis conducted on our generated dynamic PET sequences also revealed that our method can accurately predict temporal voxel intensity changes, maintaining overall visual consistency with the ground truth.CONCLUSIONIn this work, we propose a bidirectional dynamic frame prediction network for total-body ⁶⁸Ga-PSMA and ⁶⁸Ga-FAPI PET imaging with a reduced scan duration. Visual and quantitative analyses demonstrated that our approach performed well when it was used to predict one-hour dynamic PET images. https://github.com/OPMZZZ/BDF-NET .

100 Deals associated with [68Ga]Ga-Sa-DABI-4

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Indication	Highest Phase	Country/Location	Organization	Date
Neoplasms	Phase 1	CN	Chongqing Medical University /The First Affiliated Hospital/	21 May 2024

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