Nuclear Medicine and Molecular Imaging最新文献

{"title":"FDG-PET Image Classification in Alzheimer's Disease: from Traditional Visual Analysis to Advanced Transfer Learning.","authors":"Shailendra Mohan Tripathi, Christopher J McNeil, Roger T Staff, Alison D Murray, Claude M Wischik, Bjoern Schelter, Gordan D Waiter","doi":"10.1007/s13139-025-00908-2","DOIUrl":"10.1007/s13139-025-00908-2","url":null,"abstract":"<p><strong>Purpose: </strong>Alzheimer's disease (AD) often coexists with other brain pathologies, and we aimed to classify people with AD using 18 F- Flouro-Deoxy-Glucose-Positron Emission Tomography (FDG-PET).</p><p><strong>Method: </strong>Baseline FDG-PET data were collected as part of two large scale Phase III clinical trials of a novel tau aggregation inhibitor drug, Leuco-Methylthioninium (LMTX®). A total of 794, well-characterised probable AD subjects were included in the study and the images were classified into \"typical AD\"(temporoparietal hypometabolism) and \"mixed\" (patchy hypo-metabolism in other vascular territories of brain such as frontal and cerebellar regions along with temporo-parietal hypo-metabolism) patterns based on visual interpretation. The differences in the two groups were further assessed with region-of-interest based analysis of Standardized Uptake Value Ratio (SUVR) and automated classification using transfer learning with visual classification as the gold standard.</p><p><strong>Results: </strong>Of the total of 794 (438 female) participants, 533 (284 female) were classified as typical AD and 261 (154 female) participants classified as mixed. A subset of 50 images each from typical and mixed subtypes were used for transfer learning and sensitivity, specificity and accuracy for one of the cross-validation loops was 94.73%, 95.23% and 95% respectively. The average accuracy to distinguish the two subtypes after 5-fold cross validation was found to be 97.5%.</p><p><strong>Conclusions: </strong>This study is first of its kind to distinguish two subtypes of AD through visual interpretation of FDG-PET images and exploring the findings with a semi-quantitative method followed by transfer learning, which has been used to predict the two subtypes with high accuracy, sensitivity and specificity.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"201-208"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084429/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094453","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Incidental Detection of Pulmonary Lymphangitic Carcinomatosis on ¹⁸F-PSMA 1007 in a Case of Prostate Cancer Without Pulmonary Symptoms.","authors":"Raza Abbas Mahdi, Gowtham M, Bhagwant Rai Mittal, Harmandeep Singh, Rajender Kumar, Santosh Kumar","doi":"10.1007/s13139-024-00904-y","DOIUrl":"10.1007/s13139-024-00904-y","url":null,"abstract":"","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"212-213"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084435/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Extraprostatic Needle Canal Recurrence of Localized Prostate Cancer After Nanoknife Electroporation Ablation Diagnosed with PSMA PET/MRI.","authors":"Mads Ryø Jochumsen, Lise Medrud, Lars Anders Høst, Peter Iversen","doi":"10.1007/s13139-025-00913-5","DOIUrl":"10.1007/s13139-025-00913-5","url":null,"abstract":"","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"214-216"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084190/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094451","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of ¹¹¹In-Pentetreotide Single Photon Emission Computed Tomography Images in Gastrointestinal Neuroendocrine Tumors and Possibility of Grade Prediction.","authors":"Makoto Ohba, Takeo Tanada, Yasushi Ishikawa, Satomi Teraoka, Kazukuni Kirii, Shin Ohara, Ayato Taketa, Taiyo Tanae, Yosuke Moriya, Koji Suzuki, Masafumi Kanoto","doi":"10.1007/s13139-025-00910-8","DOIUrl":"10.1007/s13139-025-00910-8","url":null,"abstract":"<p><strong>Purpose: </strong>Neuroendocrine tumors (NETs) can be classified into three grades based on the malignancy index identified via histological and pathological diagnosis, and ¹¹¹In-pentetreotide single photon emission computed tomography (SPECT) is effective for diagnosis. Therefore, this study aimed to distinguish between NET grade 1 (G1) and NET grade 2 (G2) based on the change in standardized uptake value (SUV) 4 and 24 h after injection in pancreatic and gastrointestinal NETs.</p><p><strong>Methods: </strong>Twenty-two patients underwent ¹¹¹In-pentetreotide SPECT and were definitively diagnosed with pancreatic or gastrointestinal NETs. The volume of interest were set in the tumor areas 4 and 24 h after injection, and SUV_max and SUV_mean were calculated. The ⊿tumor SUV (24 h-4 h) was calculated for each G1 and G2 by subtracting the SUV 4 h from SUV 24 h.</p><p><strong>Results: </strong>The ⊿tumor SUV_max (24 h-4 h) was 19.35 ± 23.26 in G1 and - 13.30 ± 20.26 in G2, and the ⊿tumor SUV_mean (24 h-4 h) was 7.64 ± 15.58 in G1 and - 8.89 ± 15.45 in G2. The ⊿tumor SUV_max (24 h-4 h) and ⊿tumor SUV_mean (24 h-4 h) were higher in G1 compared to G2 (<i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>The ⊿tumor SUV (24 h-4 h) in patients with pancreatic/gastrointestinal NET on ¹¹¹In-pentetreotide SPECT images were higher in G1 compared to G2. The ⊿tumor SUV (24 h-4 h) for pancreatic and gastrointestinal NETs may predict the malignancy grade, as determined by histological and pathological diagnosis.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"194-200"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084186/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094470","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The Relationship Between the World Federation of Nuclear Medicine and Biology and Asian Nuclear Medicine Societies.","authors":"Savvas Frangos","doi":"10.1007/s13139-025-00915-3","DOIUrl":"10.1007/s13139-025-00915-3","url":null,"abstract":"","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"159-163"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084187/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094472","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"⁶⁸Ga FAPI PET in a Renal Transplant Patient with Disseminated Nocardiosis-A Worthwhile Imaging Modality for Infection Imaging.","authors":"Srinivas Ananth Kumar, Karthikeyan Subramanian, Bhagwant Rai Mittal, Harmandeep Singh, Rajender Kumar, Sarbpreet Singh","doi":"10.1007/s13139-024-00897-8","DOIUrl":"10.1007/s13139-024-00897-8","url":null,"abstract":"<p><p>Nocardiosis, an opportunistic infection occurs in immunodeficient population commonly in organ transplant recipients. Patients with risk factors likely chronic corticosteroids and immunosuppressants consumption usually have a higher tendency for disseminated infections with formation of deep abscesses at various sites in the body. Functional imaging with PET, being a whole body imaging offers information about the various sites of disease, thereby assisting the treatment planning, treatment response and also to identify the sites of biopsy. 68Ga FAPI PET serves this purpose as previous studies in various other infections have shown activated fibroblasts with increased FAP expression at the infective foci.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"209-211"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084474/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094443","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Relationship Between Cerebral Glucose Metabolism and Neurodevelopmental Outcomes in Very-Low-Birth-Weight Infants without Structural Abnormalities.","authors":"Jae Hyun Park, Jimin Yuei, Soyoung Lee, Jungsu S Oh, Kyoung Sook Won, Hae Won Kim","doi":"10.1007/s13139-024-00893-y","DOIUrl":"10.1007/s13139-024-00893-y","url":null,"abstract":"<p><strong>Purpose: </strong>Very-low-birth-weight (VLBW) infants are more likely to have poor neurodevelopmental outcomes, even if structural abnormalities are not observed during brain magnetic resonance imaging (MRI). The purpose of the present study was to determine whether cerebral glucose metabolism is correlated with neurodevelopmental outcomes in VLBW infants without structural abnormalities.</p><p><strong>Methods: </strong>Twenty-seven VLBW infants (birth weight < 1,500 g) without structural abnormalities were prospectively enrolled. All infants underwent F-18 fluorodeoxyglucose (FDG) positron emission tomography (PET) examinations at term-equivalent ages, and the regional glucose metabolic ratios were calculated. Neurodevelopmental outcomes were assessed using the Mental Development Index (MDI) and the Psychomotor Development Index (PDI) of the Bayley Scales of Infant Development-II at a corrected age of 18-24 months. Poor neurodevelopmental outcomes were defined as an MDI or PDI score < 85.</p><p><strong>Results: </strong>The glucose metabolic ratio in the right central region of the brain was significantly correlated with the MDI score (<i>r</i> = 0.505, <i>p</i> = 0.007). The glucose metabolic ratios in the right central region and right insula in the poor-neurodevelopmental-outcome group were significantly lower than those in the good-neurodevelopmental-outcome group (1.03 ± 0.02 vs. 1.08 ± 0.04, <i>p</i> = 0.004, and 1.08 ± 0.05 vs. 1.13 ± 0.05, <i>p</i> = 0.018, respectively). Furthermore, the right central region and insula exhibited large extent of metabolic connectivity in infants with good neurodevelopmental outcome than that in infants with poor neurodevelopmental outcome.</p><p><strong>Conclusions: </strong>Cerebral glucose metabolism was correlated with the neurodevelopmental outcomes of VLBW infants at a corrected age of 18-24 months.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13139-024-00893-y.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"174-184"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084193/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094471","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Accuracy of an Automated Bone Scan Index Measurement System Enhanced by Deep Learning of the Female Skeletal Structure in Patients with Breast Cancer.","authors":"Shohei Fukai, Hiromitsu Daisaki, Kosuke Yamashita, Issei Kuromori, Kazuki Motegi, Takuro Umeda, Naoki Shimada, Kazuaki Takatsu, Takashi Terauchi, Mitsuru Koizumi","doi":"10.1007/s13139-025-00905-5","DOIUrl":"10.1007/s13139-025-00905-5","url":null,"abstract":"<p><strong>Purpose: </strong>VSBONE^® BSI (VSBONE), an automated bone scan index (BSI) measurement system was updated from version 2.1 (ver.2) to 3.0 (ver.3). VSBONE ver.3 incorporates deep learning of the skeletal structures of 957 new women, and it can be applied in patients with breast cancer. However, the performance of the updated VSBONE remains unclear. This study aimed to validate the diagnostic accuracy of the VSBONE system in patients with breast cancer.</p><p><strong>Methods: </strong>In total, 220 Japanese patients with breast cancer who underwent bone scintigraphy with single-photon emission computed tomography/computed tomography (SPECT/CT) were retrospectively analyzed. The patients were diagnosed with active bone metastases (<i>n</i> = 20) and non-bone metastases (<i>n</i> = 200) according to the physician's radiographic image interpretation. The patients were assessed using the VSBONE ver.2 and VSBONE ver.3, and the BSI findings were compared with the interpretation results by the physicians. The occurrence of segmentation errors, the association of BSI between VSBONE ver.2 and VSBONE ver.3, and the diagnostic accuracy of the systems were evaluated.</p><p><strong>Results: </strong>VSBONE ver.2 and VSBONE ver.3 had segmentation errors in four and two patients. Significant positive linear correlations were confirmed in both versions of the BSI (<i>r</i> = 0.92). The diagnostic accuracy was 54.1% in VSBOBE ver.2, and 80.5% in VSBONE ver.3 <i>(P</i> < 0.001), respectively.</p><p><strong>Conclusion: </strong>The diagnostic accuracy of VSBONE was improved through deep learning of the female skeletal structures. The updated VSBONE ver.3 can be a reliable automated system for measuring BSI in patients with breast cancer.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"185-193"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084472/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094447","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"PET/CT Radiomics Integrated with Clinical Indexes as a Tool to Predict Ki67 in Breast Cancer: a Pilot Study.","authors":"Dawei Li, Hui Ding, Yuting Liao, Xiao Yu, Youmin Guo, Cong Shen","doi":"10.1007/s13139-024-00896-9","DOIUrl":"10.1007/s13139-024-00896-9","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to assess the value of radiomics features integrated with clinical characteristics for estimating Ki67 expression in patients with breast cancer (BC).</p><p><strong>Methods: </strong>In total, 114 patients with BC performed ¹⁸F-FDG PET/CT scans. Patients were randomly assigned to a training set (<i>n</i> = 79, 55 cases of Ki67 + and 24 cases of Ki67-) and a validation set (<i>n</i> = 35, 24 cases of Ki67 + and 11 cases of Ki67-). Thirteen clinical characteristics and 704 radiomics features were extracted, and 4 clinical and 8 radiomics features were selected. Three models were developed, including the clinical model, the radiomics model, and the combined model. Model performance was evaluated using the ROC curve, and clinical utility was assessed through decision curve analysis (DCA).</p><p><strong>Results: </strong>The N stage, tumor morphology, SUVmax, and the longest diameter significantly differed between Ki67 + and Ki67- groups (all <i>P</i> < 0.05). Eight radiomics features were selected for the radiomics model. The area under the curve of the combined model in the training and test group was 0.90 (95% CI: 0.82∼0.97) and 0.81 (95% CI: 0.64∼0.99), respectively. The combined model significantly outperformed both the radiomics model and the clinical model alone (<i>P</i> < 0.05). The DCA curve demonstrated the superior clinical utility of the combined model compared to the clinical model and radiomics model.</p><p><strong>Conclusions: </strong>PET/CT image-based radiomics features combined with clinical features have the potential to predict Ki67 expression in BC.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s13139-024-00896-9.</p>","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 3","pages":"164-173"},"PeriodicalIF":1.3,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12084439/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144094460","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"⁶⁸Ga-PSMA Uptake in Subchondral Cyst Giving a False Impression of Disease Progression after ¹⁷⁷Lu-PSMA Radioligand Therapy in Metastatic Castrate-Resistant Prostate Cancer.","authors":"Piyush Aggarwal, Manoj Sharma, Rajender Kumar, Harmandeep Singh, Bhagwant Rai Mittal, Ashwani Sood","doi":"10.1007/s13139-024-00882-1","DOIUrl":"10.1007/s13139-024-00882-1","url":null,"abstract":"","PeriodicalId":19384,"journal":{"name":"Nuclear Medicine and Molecular Imaging","volume":"59 2","pages":"154-155"},"PeriodicalIF":1.3,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11923326/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143692606","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}