Pub Date : 2026-02-24DOI: 10.1007/s00259-026-07806-5
Levent Kabasakal
{"title":"[<sup>68</sup>Ga]Ga-PSMA PET/CT in active surveillance: From imaging to informed decision-making - a \"Whistling Arrow\" perspective.","authors":"Levent Kabasakal","doi":"10.1007/s00259-026-07806-5","DOIUrl":"https://doi.org/10.1007/s00259-026-07806-5","url":null,"abstract":"","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147283033","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-23DOI: 10.1007/s00259-025-07732-y
Luke T Nordquist, Jack R Andrews, Phillip H Kuo, Benjamin A Gartrell, David Josephson, Andrei S Purysko, Daniel R Saltzstein, Ram A Pathak, Neal Shore, James Sykes, Ross Penny, Phillip Davis, Brian T Helfand
{"title":"An intra-patient contemporaneous comparison of <sup>18</sup>F-piflufolastat and <sup>18</sup>F-flotufolastat urinary radioactivity and pelvic region detection rates in men with low PSA biochemical recurrence of prostate cancer after radical prostatectomy.","authors":"Luke T Nordquist, Jack R Andrews, Phillip H Kuo, Benjamin A Gartrell, David Josephson, Andrei S Purysko, Daniel R Saltzstein, Ram A Pathak, Neal Shore, James Sykes, Ross Penny, Phillip Davis, Brian T Helfand","doi":"10.1007/s00259-025-07732-y","DOIUrl":"https://doi.org/10.1007/s00259-025-07732-y","url":null,"abstract":"","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147270134","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-21DOI: 10.1007/s00259-026-07782-w
Otto M. Henriksen, Thomas L. Andersen, Karine Madsen, Benedikte Hasselbalch, Dorte S. Nørøxe, Vibeke A. Larsen, Ulrich Lindberg, Henrik B. W. Larsson, Adam E. Hansen, Ian Law
Purpose To investigate the physiological influence of tissue perfusion and permeability on O-(2-[ 18 F]-fluoroethyl)-L-tyrosine ([ 18 F]FET) uptake in gliomas by simultaneous MRI dynamic contrast enhanced (DCE) perfusion imaging and the impact of vascular contributions on diagnostic accuracy. Methods Dynamic [ 18 F]FET PET/MRI scans from 50 patients with glioma WHO grade 2–4 were analysed. In each patient multiple subvolumes were delineated to account for intra-patient heterogeneity. Associations of 20–40 min. [ 18 F]FET tumour-to-background ratio (TBR med ) with median blood volume (CBV), blood flow (F), and permeability (Ki) within 134 lesion subvolumes were investigated in linear mixed models. Also, associations with initial area under curve (iAUC 120 ), time to peak (TTP) and slope (Slope 20 − 40 ) from time activity curve were investigated. The influence of adjusting TBR med for microvascular physiological parameters on the diagnostic accuracy for tumour recurrences was assessed in an independent dataset ( n = 61 lesions from 48 patients). Results CBV, F and Ki individually accounted for 42%, 36% and 26%, respectively, of the overall variance in TBR med . DCE metrics combined accounted for 49% of the total variance and for 65% of the regional variance in TBR med . All DCE metrics were associated positively with iAUC 120 and negatively with both Slope 20 − 40 and TTP ( p < 0.001 for all). Adjusting TBR med for microvascular effects lowered TBR by 24% on average and reduced the diagnostic accuracy (ROC AUC) from 0.90 to 0.77 in the test dataset. Conclusion Microvascular properties may contribute to a considerable fraction of the clinical [ 18 F]FET measures in patients with gliomas, and contribute positively to diagnostic performance of [ 18 F]FET PET imaging.
{"title":"The confounding effects of microvascular physiology on the uptake and diagnostic accuracy of [18F]fluoroethyl-tyrosine positron emission tomography in gliomas","authors":"Otto M. Henriksen, Thomas L. Andersen, Karine Madsen, Benedikte Hasselbalch, Dorte S. Nørøxe, Vibeke A. Larsen, Ulrich Lindberg, Henrik B. W. Larsson, Adam E. Hansen, Ian Law","doi":"10.1007/s00259-026-07782-w","DOIUrl":"https://doi.org/10.1007/s00259-026-07782-w","url":null,"abstract":"Purpose To investigate the physiological influence of tissue perfusion and permeability on O-(2-[ <jats:sup>18</jats:sup> F]-fluoroethyl)-L-tyrosine ([ <jats:sup>18</jats:sup> F]FET) uptake in gliomas by simultaneous MRI dynamic contrast enhanced (DCE) perfusion imaging and the impact of vascular contributions on diagnostic accuracy. Methods Dynamic [ <jats:sup>18</jats:sup> F]FET PET/MRI scans from 50 patients with glioma WHO grade 2–4 were analysed. In each patient multiple subvolumes were delineated to account for intra-patient heterogeneity. Associations of 20–40 min. [ <jats:sup>18</jats:sup> F]FET tumour-to-background ratio (TBR <jats:sub>med</jats:sub> ) with median blood volume (CBV), blood flow (F), and permeability (Ki) within 134 lesion subvolumes were investigated in linear mixed models. Also, associations with initial area under curve (iAUC <jats:sub>120</jats:sub> ), time to peak (TTP) and slope (Slope <jats:sub>20 − 40</jats:sub> ) from time activity curve were investigated. The influence of adjusting TBR <jats:sub>med</jats:sub> for microvascular physiological parameters on the diagnostic accuracy for tumour recurrences was assessed in an independent dataset ( <jats:italic>n</jats:italic> = 61 lesions from 48 patients). Results CBV, F and Ki individually accounted for 42%, 36% and 26%, respectively, of the overall variance in TBR <jats:sub>med</jats:sub> . DCE metrics combined accounted for 49% of the total variance and for 65% of the regional variance in TBR <jats:sub>med</jats:sub> . All DCE metrics were associated positively with iAUC <jats:sub>120</jats:sub> and negatively with both Slope <jats:sub>20 − 40</jats:sub> and TTP ( <jats:italic>p</jats:italic> < 0.001 for all). Adjusting TBR <jats:sub>med</jats:sub> for microvascular effects lowered TBR by 24% on average and reduced the diagnostic accuracy (ROC AUC) from 0.90 to 0.77 in the test dataset. Conclusion Microvascular properties may contribute to a considerable fraction of the clinical [ <jats:sup>18</jats:sup> F]FET measures in patients with gliomas, and contribute positively to diagnostic performance of [ <jats:sup>18</jats:sup> F]FET PET imaging.","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":"1 1","pages":""},"PeriodicalIF":9.1,"publicationDate":"2026-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146231105","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-21DOI: 10.1007/s00259-026-07786-6
Sonja Kirchhoff, Andreas Lederer, Theo Lorenzini, Michael Gammel, Daniel Sasse, Matthias Heck, Bernhard Haller, Wolfgang A. Weber, Matthias Eiber, Isabel Rauscher
{"title":"Value of a repeat 18F-flotufolastat PET scan following a negative scan in patients with suspected biochemical recurrence of prostate cancer after radical prostatectomy","authors":"Sonja Kirchhoff, Andreas Lederer, Theo Lorenzini, Michael Gammel, Daniel Sasse, Matthias Heck, Bernhard Haller, Wolfgang A. Weber, Matthias Eiber, Isabel Rauscher","doi":"10.1007/s00259-026-07786-6","DOIUrl":"https://doi.org/10.1007/s00259-026-07786-6","url":null,"abstract":"","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":"96 1","pages":""},"PeriodicalIF":9.1,"publicationDate":"2026-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146230881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-20DOI: 10.1007/s00259-026-07790-w
Oliver Lindner, J. Bucerius, T. Derlin, W. Burchert, R. R. Buechel
{"title":"SPECT and PET myocardial perfusion imaging in Austria, Germany, and Switzerland results of the 2nd joint survey 2024","authors":"Oliver Lindner, J. Bucerius, T. Derlin, W. Burchert, R. R. Buechel","doi":"10.1007/s00259-026-07790-w","DOIUrl":"https://doi.org/10.1007/s00259-026-07790-w","url":null,"abstract":"","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":"10 1","pages":""},"PeriodicalIF":9.1,"publicationDate":"2026-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146230882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-18DOI: 10.1007/s00259-026-07814-5
Song Xue, Sabrina Kraus, Johanna S Enke, Kerstin Michalski, Marcus Hacker, Hermann Einsele, Andreas K Buck, Constantin Lapa, Xiang Li, Niklas Dreher
<p><strong>Background: </strong>C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) represents a promising option for hematologic malignancies. Nevertheless, responses in relapsed and refractory (r/r) multiple myeloma (MM) are heterogenous, emphasizing the need for optimized patient selection before RPT. Current approaches mostly rely on qualitative assessments, confirming relevant CXCR4-expression by CXCR4-directed PET in vital myeloma burden, the latter usually being determined by additional [<sup>18</sup>F]FDG-PET.</p><p><strong>Purpose: </strong>To evaluate whether quantitative imaging biomarkers derived from dual-tracer PET/CT can enhance patient stratification and predict therapeutic response and survival following CXCR4-RPT.</p><p><strong>Materials and methods: </strong>22 patients with r/r MM who underwent CXCR4-directed [⁶⁸Ga]Ga-PentixaFor-PET/CT and [¹⁸F]FDG-PET/CT imaging prior to CXCR4-RPT were retrospectively analyzed. A fully automated pipeline performed deep-learning-based lesion segmentation and dual-tracer fusion; batch quality control and correction ensured segmentation accuracy and concordant-lesion adjudication (> 10% volumetric overlap) prior to lesion-level feature extraction. Features included demographics, laboratory/genetic variables, and imaging metrics from FDG- and CXCR4-PET, stratified by anatomic site (medullary vs. extramedullary) and concordance (concordant vs. discordant as defined by comparing FDG- and CXCR4-positive myeloma lesions). Surface-standardized maximum inter-lesion distances (sDmax) were additionally computed. Endpoints were therapy response (responder vs. non-responder as defined by serological response assessment based on IMWG-criteria or PET/MRI based response assessment) and overall survival (OS). Group comparisons were performed using Welch's t-test/Chi-square; survival analysis was conducted applying Kaplan-Meier estimates and log-rank tests. Decision-tree models were interpreted with SHapley Additive exPlanations (SHAP).</p><p><strong>Results: </strong>Responders to RPT showed lower [<sup>18</sup>F]FDG-SUV<sub>mean</sub> in medullary and extramedullary concordant lesions (Welch's p = 0.03). In the response classifier, these metrics ranked among the top predictors by SHAP, alongside selected extramedullary CXCR4-dominant discordant features and high-risk cytogenetics. Shorter OS was associated with higher TLG[FDG medullary concordant], greater sDmax[FDG], and higher CXCR4-positive medullary burden (MTV/TLC) (log-rank p < 0.05). SHAP directionality agreed with univariate trends. BMI showed a modest inverse association with early mortality in the 6-month survival model.</p><p><strong>Conclusions: </strong>In our exploratory analysis, [¹⁸F]FDG-uptake within medullary concordant lesions was linked to both response and survival, while CXCR4-expressing medullary volume and sDmax added survival information. Concordance-aware, lesion-level quantification from dual-tracer P
背景:C-X-C基序趋化因子受体4 (CXCR4)定向放射药物治疗(RPT)是治疗血液恶性肿瘤的一个很有前景的选择。然而,复发和难治性(r/r)多发性骨髓瘤(MM)的反应是不均匀的,这强调了在RPT之前优化患者选择的必要性。目前的方法大多依赖于定性评估,通过cxcr4定向PET确认cxcr4在重要骨髓瘤负荷中的相关表达,后者通常通过额外的[18F]FDG-PET来确定。目的:评估来自双示踪剂PET/CT的定量成像生物标志物是否可以增强患者分层并预测CXCR4-RPT后的治疗反应和生存。材料与方法:回顾性分析22例接受cxcr4定向[⁶⁸Ga]Ga- pentixa - for - pet /CT和[¹⁸F] fgd - pet /CT成像的r/r MM患者。全自动流水线进行基于深度学习的病灶分割和双示踪剂融合;批量质量控制和校正确保了在提取病变级别特征之前分割的准确性和一致的病变判断(bbb10 %体积重叠)。特征包括人口统计学、实验室/遗传变量和FDG-和CXCR4-PET的成像指标,按解剖部位(髓质与髓外)和一致性(通过比较FDG-和cxcr4阳性骨髓瘤病变定义的一致性与不一致性)分层。另外计算表面标准化最大病变间距离(sDmax)。终点是治疗反应(根据基于imwg标准或基于PET/MRI的反应评估的血清学反应评估定义的反应vs.无反应)和总生存期(OS)。组间比较采用Welch’st检验/卡方检验;应用Kaplan-Meier估计和log-rank检验进行生存分析。决策树模型采用SHapley加性解释(SHAP)进行解释。结果:在髓质和髓外一致性病变中,RPT应答者的FDG-SUVmean较低[18F] (Welch’sp = 0.03)。在响应分类器中,这些指标与选定的髓外cxcr4显性不一致特征和高危细胞遗传学一起,被SHAP列为最重要的预测因子。较短的OS与较高的TLG[FDG]、较高的sDmax[FDG]和较高的cxcr4阳性髓质负担(MTV/TLC)相关(log-rank p)。结论:在我们的探索性分析中,[¹⁸F]髓质一致性病变内FDG摄取与反应和生存有关,而表达cxcr4的髓质体积和sDmax增加了生存信息。双示踪PET/CT的一致性意识、病变水平量化可能是一种有前途的方法,有助于cxcr4导向RPT的风险分层。然而,我们的假设生成分析的初步发现需要在更大的队列中进行前瞻性验证。
{"title":"Lesion-level dual-tracer PET biomarkers predict prognosis in multiple myeloma treated with CXCR4-directed radiopharmaceutical therapy.","authors":"Song Xue, Sabrina Kraus, Johanna S Enke, Kerstin Michalski, Marcus Hacker, Hermann Einsele, Andreas K Buck, Constantin Lapa, Xiang Li, Niklas Dreher","doi":"10.1007/s00259-026-07814-5","DOIUrl":"https://doi.org/10.1007/s00259-026-07814-5","url":null,"abstract":"<p><strong>Background: </strong>C-X-C motif chemokine receptor 4 (CXCR4)-directed radiopharmaceutical therapy (RPT) represents a promising option for hematologic malignancies. Nevertheless, responses in relapsed and refractory (r/r) multiple myeloma (MM) are heterogenous, emphasizing the need for optimized patient selection before RPT. Current approaches mostly rely on qualitative assessments, confirming relevant CXCR4-expression by CXCR4-directed PET in vital myeloma burden, the latter usually being determined by additional [<sup>18</sup>F]FDG-PET.</p><p><strong>Purpose: </strong>To evaluate whether quantitative imaging biomarkers derived from dual-tracer PET/CT can enhance patient stratification and predict therapeutic response and survival following CXCR4-RPT.</p><p><strong>Materials and methods: </strong>22 patients with r/r MM who underwent CXCR4-directed [⁶⁸Ga]Ga-PentixaFor-PET/CT and [¹⁸F]FDG-PET/CT imaging prior to CXCR4-RPT were retrospectively analyzed. A fully automated pipeline performed deep-learning-based lesion segmentation and dual-tracer fusion; batch quality control and correction ensured segmentation accuracy and concordant-lesion adjudication (> 10% volumetric overlap) prior to lesion-level feature extraction. Features included demographics, laboratory/genetic variables, and imaging metrics from FDG- and CXCR4-PET, stratified by anatomic site (medullary vs. extramedullary) and concordance (concordant vs. discordant as defined by comparing FDG- and CXCR4-positive myeloma lesions). Surface-standardized maximum inter-lesion distances (sDmax) were additionally computed. Endpoints were therapy response (responder vs. non-responder as defined by serological response assessment based on IMWG-criteria or PET/MRI based response assessment) and overall survival (OS). Group comparisons were performed using Welch's t-test/Chi-square; survival analysis was conducted applying Kaplan-Meier estimates and log-rank tests. Decision-tree models were interpreted with SHapley Additive exPlanations (SHAP).</p><p><strong>Results: </strong>Responders to RPT showed lower [<sup>18</sup>F]FDG-SUV<sub>mean</sub> in medullary and extramedullary concordant lesions (Welch's p = 0.03). In the response classifier, these metrics ranked among the top predictors by SHAP, alongside selected extramedullary CXCR4-dominant discordant features and high-risk cytogenetics. Shorter OS was associated with higher TLG[FDG medullary concordant], greater sDmax[FDG], and higher CXCR4-positive medullary burden (MTV/TLC) (log-rank p < 0.05). SHAP directionality agreed with univariate trends. BMI showed a modest inverse association with early mortality in the 6-month survival model.</p><p><strong>Conclusions: </strong>In our exploratory analysis, [¹⁸F]FDG-uptake within medullary concordant lesions was linked to both response and survival, while CXCR4-expressing medullary volume and sDmax added survival information. Concordance-aware, lesion-level quantification from dual-tracer P","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146219010","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-18DOI: 10.1007/s00259-026-07808-3
Ling Xiao, Tingting Zhao, Yi Yang, Jiayu Zhong, Di Liao, Boxin Zhang, Jiaxin Li, Ruxin Tu, Jiale Hou, Xingming Wang, Jie Feng, Ming Zhou, Shuo Hu, Jian Xia
{"title":"Exploring synaptic density patterns in cerebral small vessel disease: insights from [<sup>18</sup>F]SynVesT-1 PET imaging.","authors":"Ling Xiao, Tingting Zhao, Yi Yang, Jiayu Zhong, Di Liao, Boxin Zhang, Jiaxin Li, Ruxin Tu, Jiale Hou, Xingming Wang, Jie Feng, Ming Zhou, Shuo Hu, Jian Xia","doi":"10.1007/s00259-026-07808-3","DOIUrl":"https://doi.org/10.1007/s00259-026-07808-3","url":null,"abstract":"","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":" ","pages":""},"PeriodicalIF":7.6,"publicationDate":"2026-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146212433","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-17DOI: 10.1007/s00259-026-07819-0
Yuan Cheng, Nan Li, Bin Zhu, Xiaosheng Liu, Jianping Zhang, Xiaoping Xu, Silong Hu, Shaoli Song
{"title":"Diagnostic performance of [18F]F-FAPI-FUSCC-07 PET/CT in characterizing solitary pulmonary nodules: a head-to-head comparison","authors":"Yuan Cheng, Nan Li, Bin Zhu, Xiaosheng Liu, Jianping Zhang, Xiaoping Xu, Silong Hu, Shaoli Song","doi":"10.1007/s00259-026-07819-0","DOIUrl":"https://doi.org/10.1007/s00259-026-07819-0","url":null,"abstract":"","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":"4 1","pages":""},"PeriodicalIF":9.1,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146204937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2026-02-17DOI: 10.1007/s00259-026-07803-8
Itzel Rivera, Heloïse Bourien, Ewan Morel-Corlu, Alexandre Peinoit, Samuel Le Sourd, Yan Rolland, Etienne Garin, Oscar Acosta, Julien Edeline
{"title":"Machine learning models classifiers enable a strong prediction of radioembolization-induced liver disease, and define a new bilirubin threshold for selection of patients","authors":"Itzel Rivera, Heloïse Bourien, Ewan Morel-Corlu, Alexandre Peinoit, Samuel Le Sourd, Yan Rolland, Etienne Garin, Oscar Acosta, Julien Edeline","doi":"10.1007/s00259-026-07803-8","DOIUrl":"https://doi.org/10.1007/s00259-026-07803-8","url":null,"abstract":"","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":"10 1","pages":""},"PeriodicalIF":9.1,"publicationDate":"2026-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146204939","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}