Feasibility study of 225Ac-PSMA-CY313 dosimetry in mCRPC patients using SPECT [0.03%]
使用SPECT进行225Ac-PSMA-CY313剂量学的可行性研究（mCRPC患者）
Hao Zhang,Yekuan Shi,Huaijia Tang et al.
Hao Zhang et al.
Purpose: Actinium-225 (²²⁵Ac)-labeled prostate-specific membrane antigen (PSMA) radiopharmaceuticals represent a promising therapeutic approach for metastatic castration-resistant prostate cancer (mCRPC), yet clinical ...
Assessing small-lesion detectability and acquisition time optimisation in silicon-detector-Based PET: a phantom study [0.03%]
基于硅探测器的PET中微小病灶检出性能评估及采集时间优化的体模研究
Nicholas Leybourne,Vineet Prakash,Mohammad Hussein et al.
Nicholas Leybourne et al.
Background: The adoption of silicon photomultiplier (SiPM) detectors over conventional photomultiplier tubes (PMTs) in Positron Emission Tomography (PET) has enhanced overall system performance. In this phantom study, sma...
Morphological versus spherical cellular geometry models: impact on dose-response of CA20948 cells to 177Lu- and 161Tb-labeled DOTA-TATE and DOTA-LM3 [0.03%]
形态学与球形细胞几何模型：对CA20948细胞接受177Lu和161Tb标记DOTA-TATE及DOTA-LM3剂量反应的影响
Kaat Spoormans,Melissa Crabbé,Lara Struelens et al.
Kaat Spoormans et al.
Background: Accurate cellular dosimetry is essential to investigate fundamental mechanisms of targeted radionuclide therapy. The aim of this study was to assess how morphological cellular geometry models influence cellula...
Context-level machine learning to improve the identification of lymph node and bone metastases in prostate cancer patients using [18F]PSMA-1007 PET [0.03%]
上下文水平机器学习改善前列腺癌患者使用[18F]PSMA-1007 PET识别淋巴结和骨转移的效果
Remco J Poelarends,Jorn A van Dalen,Brian N Vendel et al.
Remco J Poelarends et al.
Background: Interpreting [18F]PSMA-1007 PET/CT scans can be challenging due to the occurrence of unspecific uptake in lymph nodes and bones. Machine learning has proven its suitability to use features to model complex rel...
Voxel-based dosimetry for predicting treatment response to transarterial radioembolization in hepatocellular carcinoma: significance of intratumoral dose distribution [0.03%]
基于体素的剂量学在预测肝细胞癌经动脉放射栓塞治疗反应中的价值：肿瘤内剂量分布的影响
Minseok Suh,Keon Min Kim,Jin Woo Choi et al.
Minseok Suh et al.
Purpose: We applied a voxel-based personalized dosimetry method using multiple voxel S-values (VSVs) to assess the intratumoral dose distribution in hepatocellular carcinoma (HCC) patients treated with trans-arterial radi...
Deep learning-enhanced digital-BGO versus TOF PET/CT: comparative assessment of detection, quantitation, and overall image quality [0.03%]
深度学习增强型数字-BGO与TOF PET/CT在检测、定量和整体图像质量方面的比较评估
Quentin Maronnier,Thibaut Cassou-Mounat,Erwan Gabiache et al.
Quentin Maronnier et al.
Background: We evaluate the Omni Legend 32 cm (OMNI6R), a digital-BGO PET/CT using the deep learning (DL) based algorithm, Precision Deep Learning (PDL), emulating time-of-flight (TOF) enhancement and compare its performa...
Quantitative validation of data-driven motion correction for brain PET using phantom with motion generator system [0.03%]
基于含运动发生器体模的脑部PET数据驱动式运动矫正的定量验证
Yuto Kamitaka,Muneyuki Sakata,Keiichi Oda et al.
Yuto Kamitaka et al.
Background: Head motion during brain positron emission tomography (PET) degrades image quality and quantitative accuracy. Therefore, a data-driven motion correction (MC) method utilizing ultrafast list-mode reconstruction...
Performance evaluation of the ACTIVE 7 MAX benchtop preclinical PET scanner in accordance with the NEMA NU 4-2008 standard [0.03%]
ACTIVE 7 MAX 小动物PET扫描仪的NEMA NU 4-2008标准性能评估
Haihao Wang,Kexin Wang,Ziquan Yuan et al.
Haihao Wang et al.
Introduction: ACTIVE 7 MAX is a compact benchtop preclinical PET scanner dedicated to high sensitivity and high-resolution imaging of small animals. This study evaluated the performance of the ACTIVE 7 MAX system using th...
Correction: 131I therapy for benign thyroid disease: flexible single-time-point dosimetry using population-based model selection with non-linear mixed-effects modelling [0.03%]
碘-131治疗良性甲状腺疾病：基于人口模型选择的非线性混合效应模型单时间点剂量学修正研究
Deni Hardiansyah,Ade Riana,Heribert Hänscheid et al.
Deni Hardiansyah et al.
Published Erratum
EJNMMI physics. 2025 Dec 11;12(1):99. DOI:10.1186/s40658-025-00818-4 2025
Dániel Réti,Carlos-Alcaide Corral,Islay Cranston et al.
Dániel Réti et al.
Purpose: Before utilising preclinical Position Emission Tomography (PET) systems for biological studies, evaluating their performance is important to better qualify the scanner's applications. This study aims to assess th...