Kenneth J Nichols, Adam Kesner, Kuldeep K Bhargava, Paige Bennett, Christopher J Palestro
{"title":"Effect of truncating blood sampling in measuring glomerular filtration rate.","authors":"Kenneth J Nichols, Adam Kesner, Kuldeep K Bhargava, Paige Bennett, Christopher J Palestro","doi":"10.62347/XDLP4069","DOIUrl":"10.62347/XDLP4069","url":null,"abstract":"<p><p>Glomerular filtration rates (GFR's) are used to guide patient management. GFR's are based on radioactivity measurements of blood samples sampled at different times. We compared GFR computations from blood collected at 6 times to those collected at 2 timepoints. Thirty-seven GFR studies were performed on 25 patients. After intravenous administration of I-125 sodium iothalamate, 6 plasma samples were obtained at 5 min, 10 min, 15 min, 3 hr, 3.5 hr and 4 hr after injection, then counted in a well counter. Two different GFR calculation tools were applied to each set of 6 plasma counts (Methods 1 and 2), and a 2-sample algorithm (Method 3) computed GFR using only 3 hr and 4 hr data. Linear correlation between Method 1 and 2 GFR's was stronger than for Method 3 versus Methods 1 and 2 (r = 1.00 versus r = .91, P < .0001). Bland-Altman limits of agreement were larger (P < .0001) for Method 3 versus Methods 1 and 2 (-39.5 to +22.0 ml/min/1.73 m<sup>2</sup>) than for Method 1 versus 2 (-7.6 to +4.5 ml/min/1.73 m<sup>2</sup>). Method 3 overestimated lower GFR's and underestimated higher GFR's. Methods 1 and 2 agreed exactly in identifying 3 cases of GFR < 74 ml/min/1.73 m<sup>2</sup> (κ = 1.00), while Method 3 detected only 1 of the three (κ = .48). To avoid underdiagnosing low GFR's, larger GFR sample sizes are preferable to smaller sample sizes.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 4","pages":"140-145"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444398/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111809","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}
Tilman Speicher, Moritz B Bastian, Arne Blickle, Armin Atzinger, Florian Rosar, Caroline Burgard, Samer Ezziddin
{"title":"Advancing patient education in PRRT through large language models: challenges and potential.","authors":"Tilman Speicher, Moritz B Bastian, Arne Blickle, Armin Atzinger, Florian Rosar, Caroline Burgard, Samer Ezziddin","doi":"10.62347/OAHP6281","DOIUrl":"10.62347/OAHP6281","url":null,"abstract":"<p><p>The increasing use of artificial intelligence (AI) chatbots for patient education raises questions about their accuracy, readability, and conciseness in delivering medical information. This study evaluates the performance of ChatGPT 4o and DeepSeek V3 in answering common patient inquiries about Peptide Receptor Radionuclide Therapy (PRRT). Twelve frequently asked patient questions regarding PRRT were submitted to both chatbots. The responses were assessed by nine professionals using a blinded survey, scoring accuracy, conciseness, and readability on a five-point scale. Statistical analyses included the Mann-Whitney U test for nonparametric data and the Chi-square test for medically incorrect responses. A total of 324 individual assessments were conducted. No significant differences were found in accuracy between ChatGPT 4o (mean 4.43) and DeepSeek V3 (mean 4.56; <i>P</i> = 0.0909) or in readability between ChatGPT 4o (mean 4.38) and DeepSeek V3 (mean 4.25; <i>P</i> = 0.1236). However, ChatGPT 4o provided significantly more concise responses (mean 4.55) compared to DeepSeek V3 (mean 4.24; <b><i>P</i> = 0.0013</b>). Medically incorrect information defined as accuracy ≤ 3 was present in 7-8% of chatbot responses, with no significant difference between the two models (<i>P</i> = 0.8005). Both AI chatbots demonstrated strong performance in providing medical information on PRRT, with ChatGPT 4o excelling in conciseness. However, the presence of medical inaccuracies highlights the need for physician oversight when using AI chatbots for patient education. Future research should explore methods to enhance AI reliability and personalization in clinical communication.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 4","pages":"146-152"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444397/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111815","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}
Shiv Patil, Nirmal Patel, Eric Teichner, William Lee, Ehsan Ranjbar, Alexander Gerlach, Robert Subtirelu, Lancelot Herpin, Thomas Werner, Poul Flemming Høilund-Carlsen, Abass Alavi
{"title":"<sup>18</sup>F-NaF PET/CT for early detection of osteoporosis in the lumbar spine: two case reports.","authors":"Shiv Patil, Nirmal Patel, Eric Teichner, William Lee, Ehsan Ranjbar, Alexander Gerlach, Robert Subtirelu, Lancelot Herpin, Thomas Werner, Poul Flemming Høilund-Carlsen, Abass Alavi","doi":"10.62347/IXKG9158","DOIUrl":"10.62347/IXKG9158","url":null,"abstract":"<p><p>Osteoporosis is a highly prevalent skeletal disease involving a pathophysiology of altered bone turnover. Positron emission tomography (PET)/computed tomography (CT) imaging with <sup>18</sup>F-sodium fluoride (NaF) can visualize metabolic alterations in bone that precede clinical manifestations or structural alterations and thus may serve a role in the early detection and monitoring of osteoporosis. We present two non-oncological case reports demonstrating different metabolic changes in early and advanced disease stages as assessed by <sup>18</sup>F-NaF PET/CT that cannot be appreciated by conventional structural imaging alone, supporting a potential clinical application of <sup>18</sup>F-NaF PET/CT for early detection and monitoring of osteoporosis in the lumbar spine.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 4","pages":"153-157"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444402/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111795","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":"Streamlining first-in-human PET radiopharmaceutical development: FDA's evolving stance on preclinical dosimetry.","authors":"Taoqian Zhao, Steven H Liang","doi":"10.62347/KJLM2547","DOIUrl":"10.62347/KJLM2547","url":null,"abstract":"<p><p>The U.S. Food and Drug Administration (FDA) has proposed a regulatory shift in the early-phase development of positron emission tomography (PET) radiopharmaceuticals, specifically regarding the requirement for animal-based dosimetry in first-in-human (FIH) studies. This editorial discusses the implications of the FDA's recent Advisory Committee briefing, which supports the omission of preclinical dosimetry under defined conditions for radiopharmaceuticals labeled with <sup>18</sup>F, <sup>11</sup>C, <sup>68</sup>Ga, <sup>64</sup>Cu, <sup>82</sup>Rb, and <sup>13</sup>N. The proposed policy reflects a shift toward a more streamlined, evidence-based approach to FIH studies while maintaining stringent standards for patient safety.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 4","pages":"171-172"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111741","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":"Novel tracers and emerging targets for positron emission tomography in Alzheimer's disease and related dementias.","authors":"Taoqian Zhao, Steven H Liang","doi":"10.62347/ERGQ2963","DOIUrl":"10.62347/ERGQ2963","url":null,"abstract":"<p><p>This symposium provided an extensive overview of emerging positron emission tomography (PET) tracers and targets for Alzheimer's disease (AD) and related dementias (ADRD), highlighting novel approaches for imaging neuroinflammation, neurotransmitter systems, mitochondrial dysfunction, and proteinopathies. Key developments included the harmonization of PET data across cohorts, new tau and alpha-synuclein tracers, and critical advancements in understanding neurodegenerative disease heterogeneity through integrated imaging, genetic, and pathological studies.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 4","pages":"167-170"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111759","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}
Xiaodan Shi, Zhangxin Wu, Yifeng Yuan, Ying Wang, Shuo Yang, Rong Li
{"title":"Dual-receptor PET imaging of ovarian cancer using a <sup>68</sup>Ga-labeled heterodimer targeting folate receptor and HER2.","authors":"Xiaodan Shi, Zhangxin Wu, Yifeng Yuan, Ying Wang, Shuo Yang, Rong Li","doi":"10.62347/IRKD4863","DOIUrl":"10.62347/IRKD4863","url":null,"abstract":"<p><p>Radiolabeled folate derivatives have been extensively investigated for positron emission tomography (PET) imaging of ovarian cancer due to the frequent overexpression of folate receptor α (FRα). However, clinical translation has been hindered, at least in part, by suboptimal tumor uptake of FRα-targeted radiotracers. In this study, we developed and characterized a <sup>68</sup>Ga-labeled heterodimeric radiotracer, <sup>68</sup>Ga-folate-KR, designed to concurrently target FRα and human epidermal growth factor receptor 2 (HER2), another receptor commonly overexpressed in ovarian cancer. Transcriptomics analysis confirmed the co-upregulation of <i>FOLR1</i> and <i>HER2</i> in ovarian cancer tissues relative to normal ovarian tissue, supporting the rationale for dual-receptor targeting. In vitro binding assays demonstrated specific binding of <sup>68</sup>Ga-folate-KR to both receptors. PET imaging and biodistribution studies in SKOV3 tumor-bearing mice revealed significantly enhanced tumor uptake and improved tumor-to-nontumor contrast compared to the monomeric radiotracers <sup>68</sup>Ga-folate and <sup>68</sup>Ga-KR. Competitive blocking experiments further confirmed the in vivo dual-receptor targeting capability of <sup>68</sup>Ga-folate-KR. Collectively, our results highlight that <sup>68</sup>Ga-folate-KR enables more sensitive PET detection of ovarian cancer xenografts. With further optimization, dual-receptor-targeted radiotracers hold promise for clinical translation in both lesion detection and therapy response monitoring in ovarian cancer.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 4","pages":"130-139"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444400/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111773","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}
Qi-Huang Zheng, Min Wang, Barbara E Glick-Wilson, Chase A Arkins, Eric R Klueppelberg, Scott E Snyder, Michael L Schulte
{"title":"Optimization and comparison of [<sup>18</sup>F]FET synthesis on two distinct automated radiochemistry systems.","authors":"Qi-Huang Zheng, Min Wang, Barbara E Glick-Wilson, Chase A Arkins, Eric R Klueppelberg, Scott E Snyder, Michael L Schulte","doi":"10.62347/SPOE8395","DOIUrl":"10.62347/SPOE8395","url":null,"abstract":"<p><p><i>O</i>-(2-[<sup>18</sup>F]Fluoroethyl)- <i><sub>L</sub></i> -tyrosine ([<sup>18</sup>F]FET) is a promising amino acid PET tracer for assessment of malignant brain tumors. Herein, we report optimized production of [<sup>18</sup>F]FET for clinical use on two commercial radiochemistry systems: Sofie ELIXYS and GE FASTlab 2. While the Sofie ELIXYS procedure requires high performance liquid chromatography (HPLC) purification, the GE FASTlab 2 method uses solid-phase extraction (SPE) purification. In both cases, [<sup>18</sup>F]FET met release specifications for clinical investigation laid out in the United States Pharmacopeia (USP) and/or European Pharmacopeia (Ph. Eur.). The radiochemical yield of [<sup>18</sup>F]FET was 35-55% and 30-55% decay corrected to start of synthesis (SOS) for Sofie ELIXYS and GE FASTlab 2, respectively. The overall synthesis time was 75-85 and 70-80 min from SOS for Sofie ELIXYS and GE FASTlab 2, respectively. The radiochemical purity was > 99%, and the molar activity (A<sub>m</sub>) was 340-464 GBq/µmol at end of synthesis (EOS).</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 4","pages":"158-166"},"PeriodicalIF":1.8,"publicationDate":"2025-08-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12444399/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111818","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}
Chongjiao Li, Zhendong Song, Qilong Hu, Yinlong Li, Jimmy S Patel, Steven H Liang
{"title":"CD45-targeted PET enables the visualization of inflammatory conditions.","authors":"Chongjiao Li, Zhendong Song, Qilong Hu, Yinlong Li, Jimmy S Patel, Steven H Liang","doi":"10.62347/VFWR2835","DOIUrl":"10.62347/VFWR2835","url":null,"abstract":"<p><p>Inflammation is a major contributor to human mortality, accounting for over 50% of deaths worldwide. Therefore, there is an urgent need for early and accurate diagnostic methods. PET imaging targeting leukocyte common antigen CD45 presents a promising approach for detecting inflammation and monitoring therapeutic responses.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 3","pages":"124-129"},"PeriodicalIF":2.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12267089/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144673748","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":"TROP2-targeted molecular imaging: a promising tool for precision oncology.","authors":"Liang Ye, Haojun Chen, Di Wu","doi":"10.62347/BKIS3836","DOIUrl":"10.62347/BKIS3836","url":null,"abstract":"<p><p>Trophoblast cell surface antigen 2 (TROP2) represents an ideal target in cancer diagnosis and therapy, particularly in antibody-drug conjugate (ADC) treatments. Several TROP2-targeted ADCs have been used for the treatment of end-stage metastatic cancers, demonstrating promising therapeutic efficacy. Research has shown that the efficacy of TROP2-ADCs is closely correlated with TROP2 expression levels, highlighting the potential of TROP2 expression as a key factor for patient stratification and selection, which could significantly predict the therapy response and therefore enhance treatment outcomes. Currently, immunohistochemistry (IHC) is the gold standard for detecting TROP2 expression, although it has certain limitations. Non-invasive molecular imaging techniques offer the potential to overcome these limitations, providing valuable guidance for subsequent treatment strategies. The development of immuno-Positron Emission Tomography (immunoPET) technologies, including radiolabeled monoclonal antibodies, nanobodies, peptides and small molecules, have made the non-invasive measurement of TROP2 expression feasible. TROP2-targeted molecular imaging represents a promising frontier for precision oncology, despite existing challenges in clinical translation. This review systematically summarizes the research progress in TROP2-targeted molecular imaging for tumor diagnosis and therapy, while discussing innovative approaches to overcome current technical limitations and accelerate clinical implementation.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 3","pages":"109-123"},"PeriodicalIF":2.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12267091/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144673751","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}
Om H Gandhi, Andrew E Lee, Jaskeerat Gujral, Miraziz Ismoilov, Shashi B Singh, Mohanad Ghonim, Mohamad Ghonim, Min-Young Kim, William Y Raynor, Matthew J Case, Asad Siddiqi, Fereshteh Yazdanpanah, Thomas J Werner, Babak Saboury, Mona-Elisabeth Revheim, Yu-Cheng Chang, Abass Alavi
{"title":"Maxillary sinus inflammation assessment using FDG-PET/CT in head and neck cancer patients with photon, proton, and combined radiation therapy.","authors":"Om H Gandhi, Andrew E Lee, Jaskeerat Gujral, Miraziz Ismoilov, Shashi B Singh, Mohanad Ghonim, Mohamad Ghonim, Min-Young Kim, William Y Raynor, Matthew J Case, Asad Siddiqi, Fereshteh Yazdanpanah, Thomas J Werner, Babak Saboury, Mona-Elisabeth Revheim, Yu-Cheng Chang, Abass Alavi","doi":"10.62347/GLDL6616","DOIUrl":"10.62347/GLDL6616","url":null,"abstract":"<p><strong>Background: </strong>Head and neck cancer (HNC) patients frequently develop post-radiation maxillary sinusitis. This study investigated how different radiation therapy (RT) modalities, photon, proton, and mixed photon/proton RT, affect maxillary sinus inflammation, using 2-[<sup>18</sup>F]-fluoro-2-deoxy-D-glucose-positron emission tomography/computed tomography (FDG-PET/CT).</p><p><strong>Methods: </strong>Seventy-seven HNC patients treated with RT (30 with photon, 20 with proton, and 27 with mixed photon/proton RT) underwent FDG-PET/CT imaging before and 3 months after treatment. Demographic information, tumor location, chemotherapy details, radiation dose (cGy), and post-radiation sinusitis ratings (scale 0-2) were collected. The mean standardized uptake value (SUVmean) of the maxillary sinus was measured by a radiologist with two years of experience using manually delineated regions of interest. Parametric paired t-tests were used to compare pre- and post-treatment SUVmeans for each RT modality. Pre-minus-post-treatment changes in SUVmean (ΔSUVmean) between RT modalities were compared using independent t-tests. Correlation between radiation dose and ΔSUVmean and correlation between ΔSUVmean and clinical sinusitis scores were assessed using Pearson correlation analysis.</p><p><strong>Results: </strong>Photon RT was associated with a statistically significant increase in maxillary sinus SUVmean post-treatment (+14.32%, P = 0.0324), while proton RT and mixed photon/proton RT did not result in significant changes (-3.39%, P = 0.6549 and -5.33%, P = 0.4541, respectively). A significant difference was found between photon and mixed photon/proton RT (P = 0.0444), whereas the difference between photon and proton RT approached significance (P = 0.0790). Clinical inflammation ratings were highest for photon therapy (average 0.97), followed by mixed therapy (0.78), then proton therapy (0.65), though these differences were not statistically significant.</p><p><strong>Conclusion: </strong>Our findings demonstrate that photon RT leads to significant increases in maxillary sinus SUVmean as measured by FDG-PET/CT, while proton and mixed photon/proton RT do not show statistically significant changes. These preliminary results suggest that proton-based radiation modalities may be associated with reduced maxillary sinus inflammatory activity compared to photon RT alone, though larger studies with longer follow-up are needed to establish clinical significance and patient outcomes.</p>","PeriodicalId":7572,"journal":{"name":"American journal of nuclear medicine and molecular imaging","volume":"15 3","pages":"97-104"},"PeriodicalIF":2.0,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12267090/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144673749","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}