• 学术搜索
  • 科研智能体
    • Research Labs
    • AI 阅读
    • AI 文库
    • 深度研究
    • 学者亮点
  • 学术资源
    • AI2000
    • 期刊/会议
    • 学者库
    • 学术API
      MCP&Skill
    • 溯源树
    • 数据集
  • 知识沉淀
    • 学术空间
订阅小程序
旧版功能
aminer vip
开通会员低至0.73元/天
一次搞定AI科研
立即登录
  • English
  • 联系方式
    European Journal of Nuclear Medicine and Molecular Imaging

    European Journal of Nuclear Medicine and Molecular Imaging

    JournalISSN 1619-7070eISSN 1619-7089中科院 医学 1区

    年发文量

    研究主题

    论文(139997)

    排序
    1NewTargeted B2-Particle Plus Conversion and Auger-Electron Therapy with 161Tb-Labeled Somatostatin Receptor Antagonist DOTA-LM3: A Phase 0 Study
    Julia G. Fricke,Frida Westerbergh,Lisa McDougall,Chiara Favaretto,Emanuel Christ,Guillaume P. Nicolas,Susanne Geistlich, David E. Schmid,Francesca Borgna,Melpomeni Fani,Peter Bernhardt,Nicholas P. van der Meulen,

    The goal of this phase 0 study was to determine the absorbed doses in tumors and relevant organs after a test injection of [161Tb]Tb-DOTA-LM3 and [177Lu]Lu-DOTATOC in the same cohort of patients with grade 1 and 2 somatostatin receptor-positive gastroenteropancreatic neuroendocrine tumors. Methods: In this randomized, crossover, prospective, single-center, open-label phase 0 study, 8 patients received 1 GBq of [161Tb]Tb-DOTA-LM3 and 1 GBq of [177Lu]Lu-DOTATOC, with a 4-wk interval between injections. Quantitative SPECT/CT imaging was performed 3, 24, 72, and 168 h after administration of each radio pharmaceutical to calculate tumor and organ absorbed doses (3 dimensional dosimetry using a Monte Carlo-based ordered-subset expectation maximization algorithm). Results: After injection of 1 GBq of [161Tb]Tb-DOTA-LM3, SPECT/CT revealed excellent image quality with intense tumor uptake in all patients and a median of the mean effective tumor half-life of 103 h (range, 56-152 h) for [161Tb]Tb-DOTA-LM3 and 83 h (range, 30-122 h) for [177Lu]Lu-DOTATOC (P 5 0.012). The medians of the mean tumor absorbed doses of [161Tb]Tb-DOTA-LM3 and [177Lu]Lu-DOTATOC were 36.6 Gy/GBq (range, 15-196 Gy/ GBq) and 7.0 Gy/GBq (range, 2.4-14.2 Gy/GBq), respectively (P 5 0.008). The median kidney and bone marrow absorbed doses were 2.4 Gy/GBq (range, 1.8-3.1 Gy/GBq) and 0.31 Gy/GBq (range, 0.24-0.48 Gy/GBq) for [161Tb]Tb-DOTA-LM3 and 0.6 Gy/GBq (range, 0.4-0.8 Gy/GBq) and 0.04 Gy/GBq (range, 0.03-0.06 Gy/GBq) for [177Lu]Lu-DOTATOC, respectively (both P 5 0.008). According to Common Terminology Criteria for Adverse Events version 5.0, grade 1-3 treatment-emergent adverse events occurred in 6 of 8 patients after administration of 1 GBq of [161Tb]Tb-DOTA-LM3. Conclusion: [161Tb]Tb-DOTA-LM3 showed a 7.6-fold-higher median tumor absorbed dose than that of [177Lu]Lu-DOTATOC. The tumor-to-bone marrow absorbed dose ratio was in the same range for [161Tb]Tb-DOTA-LM3 as for [177Lu]Lu-DOTATOC. The administration of 1 GBq of [161Tb]Tb-DOTA-LM3 was safe for all patients, without relevant adverse events.

    2026
    引用
    AI阅读
    加入学术空间
    2NewAutomated Deauville Score Computation from Baseline [¹8f]fdg PET/CT Predicts Progression-Free Survival in Multiple Myeloma: a Radiogenomic Framework
    Sara Peluso, Stefano Polizzi, Lisa Pagnini,Martina Tarozzi,Ettore Rocchi,Valentino Dragonetti,Vincenza Solli,Daniele Dall'Olio,Marco Talarico,Carolina Terragna,Claudia Sala,Elena Zamagni,

    Purpose Deauville Score (DS) assessment from [18F]FDG PET/CT in multiple myeloma (MM) relies on visual interpretation, limiting reproducibility. This study aimed to develop an automated pipeline for standardised DS computation, evaluate the prognostic value of DS at five anatomical sites, and predict progression-free survival (PFS) by integrating DS with copy number alterations (CNA) and clinical variables.Methods A retrospective cohort of 165 newly diagnosed MM patients with baseline FDG PET/CT, CNA profiling, and blood tests was analysed. An automated pipeline computed DS fully automatically for vertebral bone marrow (BM) and long bones (LB), and semi-automatically for focal (FL), paramedullary (PM), and extramedullary (EM) lesions. DS were subdivided into absent (1), low (2-3), and high (4-5) groups and compared via log-rank test. A penalised Cox model with 12 covariates (five DS, three CNAs, haemoglobin, platelet count, age, sex) was evaluated via nested cross-validation for PFS prediction. For inference on individual prognostic contributions, an unpenalised multivariable Cox model was fitted on the full cohort.Results In univariate analyses, high LB, PM and EM DS were significantly associated with shorter PFS. The penalised Cox model achieved a C-index of 0.710 [95% CI: 0.689-0.732] in predicting the risk of progression. In the multivariable analysis, age, haemoglobin, BM DS, PM DS and amp(1q) were identified as independent prognostic factors.Conclusion Automated DS computation from baseline FDG PET/CT is feasible and, combined with genomic and clinical data, enables a reproducible multimodal approach to prognostic stratification in MM. The pipeline for DS computation is publicly available as an open-source tool (autoDS-PET) at .

    2026
    引用
    AI阅读
    加入学术空间
    3NewProspective Evaluation of the PRIMARY Score Using [F]PSMA-1007 PET/MRI in Second-Line Prostate Biopsies after Negative MRI
    Mads Ryo Jochumsen, Lise Medrud,Andre H. Dias,Mette Abildgaard Pedersen,Christina Stilling,Kirsten Bouchelouche,Peter Iversen,Joan Fledelius,Lars Poulsen Tolbod, Louise Forsmann Gronnemark, Stefan Vind-Kezunovic,Morten Heeboll Andersen,

    Purpose PSMA PET has been proposed for guiding targeted prostate biopsies. As the rate of clinically significant prostate cancer (csPCa) is positively correlated with PSA density (PSAd), a potential application for PSMA-guided biopsies may be men with negative MRI-first (PI-RADS-1-2) but increased PSAd. The PRIMARY scoring system, using the intraprostatic PSMA-pattern was developed and tested using [68Ga]Ga-PSMA-11 and proposed to be universal across PSMA-ligands, however no data on [18F]PSMA-1007 for biopsy guidance exists. Thus, the aim of this study was to evaluate the PRIMARY score for prostate biopsy guidance using [18F]PSMA-1007 in a prospective clinical setup.Methods 91 patients were prospectively enrolled for [18F]PSMA-1007 PET/MRI, 86 of these for biopsy guidance after negative MRI or non-csPCa biopsies from PI-RADS 3-5 lesions and persistent suspicion of csPCa. Transperineal MRI/ultrasound fusion target biopsies were performed predominantly from PRIMARY 3-5 lesions. Nine patients with PRIMARY 1-2 did not undergo target biopsies. CsPCa was defined as ISUP grade >= 2.Results In a per patient analysis, 23.3% (20/86) were diagnosed with csPCa. In line with previous studies, the rate of csPCa increased with higher PRIMARY score in a per lesion analysis, constituting 0% (0/1), 0% (0/8), 7.2% (7/97), 60% (15/25), and 60% (6/10) for PRIMARY 1, 2, 3, 4, and 5 lesions, respectively. The 7.2% PRIMARY-3 lesions containing csPCa exhibited common characteristics such as anterior location or lack of well-defined separation from the peripheral zone.Conclusion We evaluated the PRIMARY score for use with [& sup1;F-8]PSMA-1007 and identified benign features and potential "red flags" for PRIMARY-3 lesions. We found csPCa in 23.3% of patients with negative MRI or non-csPCa biopsies from PI-RADS 3-5 lesions and persistent suspicion of csPCa.

    2026
    引用
    AI阅读
    加入学术空间
    4NewDiagnostic Performance of &Sup1;8f-Fdg PET/CT Radiomics-Based Machine Learning Models for Pancreatic Lesion Characterisation: Comparison with Visual Assessment and Evaluation of Human-Radiomics Synergy
    Dilsat Firat Arslan,Zeynep Gozde Ozkan,Ali Bayram,Dilara Denizmen Zorba,Emine Goknur Isik,Yasemin Sanli,Duygu Has Simsek,Sukru Mehmet Erturk,Serkan Kuyumcu

    Purpose We aimed to evaluate the diagnostic performance of & sup1;F-8-FDG PET/CT-derived radiomics-based machine learning models for differentiating malignant from benign pancreatic lesions, to compare these models with two sequential stages of visual assessment, and to assess whether incorporation of clinician judgement as a model input provides additional diagnostic gain.Methods In this retrospective single-centre study, 853 consecutive patients who underwent & sup1;F-8-FDG PET/CT between April 2009 and February 2025 for known or suspected pancreatic lesions were screened, and 466 were included in the final analysis. Final diagnosis was established by histopathology (76.9%) or clinico-radiological follow-up (23.1%). Diagnostic performance was assessed within a five-stage framework consisting of two visual assessment stages and three progressively expanded machine-learning stages. The visual stages comprised first-look assessment based on PET/CT images alone and comprehensive second-look assessment integrating available clinical, laboratory, and multimodal imaging data. The machine-learning stages comprised a hybrid PET + CT radiomics model, an integrated model additionally incorporating clinical, laboratory, semiquantitative PET, and imaging-derived variables, and a human-radiomics synergistic model including the clinician's second-look binary judgement as an input feature. PET-only and CT-only radiomics models were also evaluated as unimodal comparators. Radiomic features were extracted after manual three-dimensional segmentation using 3D Slicer/PyRadiomics, and Random Forest was selected as the final classifier.Results Of 466 lesions, 336 (72.1%) were malignant and 130 (27.9%) were benign. First-look visual assessment achieved 93.5% sensitivity, 49.2% specificity, and 81.1% accuracy. Comprehensive second-look assessment improved performance to 97.9% sensitivity, 76.9% specificity, and 92.0% accuracy. Among radiomics-based models, the hybrid PET + CT model outperformed unimodal approaches, achieving 91.1% sensitivity, 66.7% specificity, and 86.8% accuracy. The integrated model did not improve overall accuracy beyond the hybrid model. The human-radiomics synergistic model achieved the highest sensitivity (98.7%) and overall accuracy (93.3%), whereas comprehensive second-look assessment retained slightly higher specificity and NPV.Conclusion & sup1;F-8-FDG PET/CT radiomics-based machine learning models improved specificity beyond routine first-look visual PET interpretation, approaching the performance of comprehensive second-look visual assessment without requiring additional clinical data. Incorporation of clinician judgement further increased sensitivity, although comprehensive second-look visual assessment by an experienced reader retained the highest specificity and NPV among all approaches. These findings support a complementary, decision-support role for radiomics-based models alongside, rather than in place of, expert visual assessment.

    2026
    引用
    AI阅读
    加入学术空间
    5NewTargeted Alpha Therapy for Recurrent High-Grade Glioma with [&Sup2;²5ac]-Psma: a New Theranostic Approach
    Haluk Burcak Sayman,Omer Aras, Muhammed Veysel Hekim,Kerem Saglam, Elife Akgun, Fazilet Oner Dincbas

    Purpose To evaluate the feasibility, safety, and preliminary efficacy of systemic targeted alpha therapy with [& sup2;& sup2;Ac-5]-PSMA in patients with recurrent high-grade glioma (HGG). Glioblastoma multiforme (GBM) and HGGs are highly aggressive primary brain tumors with limited treatment options at recurrence. Expression of prostate-specific membrane antigen (PSMA) in the neovasculature of GBM provides a promising target for radioligand therapy using alpha emitters such as Actinium-225.Methods Four patients with histologically confirmed recurrent HGG received [& sup2;& sup2;Ac-5]-PSMA therapy at a dose of 100 kBq/kg per cycle. Diagnoses were established according to the WHO classification available at the time of diagnosis. The cohort included three patients with GBM and one patient with a high-grade diffuse glial tumor, WHO grade III. Treatment cycles were intended at 8-12-week intervals. Baseline and follow-up assessments were performed visually and then semi-quantitave parameters were described on [Ga-6(8)]-PSMA PET/MRI or PET/CT images also using contrast-enhanced MRI. Clinical status and hematologic parameters were monitored throughout therapy and follow-up.Results While every patient ultimately developed progressive disease following treatment, the predefined PSMA-avid index lesion regressed in one patient and remained stable in another. No grade >= 3 adverse events attributable to [& sup2;& sup2;Ac-5]-PSMA or treatment-related mortality were observed. Low-grade toxicity was limited and mainly consisted of mild xerostomia.Conclusion Systemic [& sup2;& sup2;Ac-5]-PSMA therapy appeared feasible and well tolerated, showing preliminary evidence of disease control in recurrent HGGs.

    2026
    引用
    AI阅读
    加入学术空间
    立即登录,查看全部 139997 篇论文

    高被引作者

    作者引用发文
    Stephen Smith107919126
    Mark Jenkinson6969164
    Karl Friston67595186
    Bruce Fischl61236104
    Timothy Behrens5160833
    Mark Woolrich4207276
    John Ashburner4199764
    Thomas Nichols4044695
    Paul Matthews3922659
    Mike Brady3774611

    高产作者

    作者引用发文
    Abass Alavi20845975
    Richard L. Wahl28341626
    Markus Schwaiger29867619
    Nagara Tamaki13047523
    Uwe Haberkorn31961497
    Ken Herrmann15482475
    Michael E. Phelps19928454
    Johannes Czernin15497447
    W.J.G. Oyen (Wim)23681445
    S. Fanti1815431

    相关期刊

    Annals of Nuclear Medicine
    Clinical nuclear medicine
    Clinical Radiology
    Journal of Nuclear Medicine
    Seminars in Nuclear Medicine
    EJNMMI research
    Journal of Magnetic Resonance Imaging
    European Journal of Radiology
    British Journal of Radiology
    Radiologia Medica