Journal of nuclear medicine technology最新文献

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Fitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging. 医学成像中文本到图像生成人工智能图像创建的适用性。
IF 1
Journal of nuclear medicine technology Pub Date : 2025-03-05 DOI: 10.2967/jnmt.124.268402
Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, Hosen Kiat, Eric Rohren
{"title":"Fitness for Purpose of Text-to-Image Generative Artificial Intelligence Image Creation in Medical Imaging.","authors":"Geoffrey Currie, Johnathan Hewis, Elizabeth Hawk, Hosen Kiat, Eric Rohren","doi":"10.2967/jnmt.124.268402","DOIUrl":"10.2967/jnmt.124.268402","url":null,"abstract":"<p><p>The recent emergence of text-to-image generative artificial intelligence (AI) diffusion models such as DALL-E, Firefly, Stable Diffusion, and Midjourney has been touted with popular hype about the transformative potential in health care. This hype-driven, rapid assimilation comes with few professional guidelines and without regulatory oversight. Despite documented limitations, text-to-image generative AI creations have permeated nuclear medicine and medical imaging. Given the representation of medical imaging professions and potential dangers in misrepresentation and errors from both a reputation and community harm perspective, critical quality assurance of text-to-image generative AI creations is required. Here, tools for evaluating the quality and fitness for purpose of generative AI images in nuclear medicine and imaging are discussed. Generative AI text-to-image creation suffers quality limitations that are generally prohibitive of mainstream use in nuclear medicine and medical imaging. Text-to-image generative AI diffusion models should be used within a framework of critical quality assurance for quality and accuracy.</p>","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"63-67"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143006806","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The SNMMI Procedure Standard/ACNM Practice Guideline for Gastrointestinal Bleeding Scintigraphy 3.0.
IF 1
Journal of nuclear medicine technology Pub Date : 2025-03-05 DOI: 10.2967/jnmt.124.269004
Hung Q Dam, David C Brandon, Crystal G Gantz, Vesper V Grantham, Chen S Low, Harry W Schroeder, Michael G Stabin, Lionel S Zuckier
{"title":"The SNMMI Procedure Standard/ACNM Practice Guideline for Gastrointestinal Bleeding Scintigraphy 3.0.","authors":"Hung Q Dam, David C Brandon, Crystal G Gantz, Vesper V Grantham, Chen S Low, Harry W Schroeder, Michael G Stabin, Lionel S Zuckier","doi":"10.2967/jnmt.124.269004","DOIUrl":"10.2967/jnmt.124.269004","url":null,"abstract":"","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"14-23"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Delivery Methods of Radiopharmaceuticals: Exploring Global Strategies to Minimize Occupational Radiation Exposure. 放射性药物的给药方法:探索将职业辐射暴露降至最低的全球战略。
IF 1
Journal of nuclear medicine technology Pub Date : 2025-03-05 DOI: 10.2967/jnmt.124.268043
Hinna Shahid, Lois Miller, Obaid Kazmi, Peter Seidensticker
{"title":"Delivery Methods of Radiopharmaceuticals: Exploring Global Strategies to Minimize Occupational Radiation Exposure.","authors":"Hinna Shahid, Lois Miller, Obaid Kazmi, Peter Seidensticker","doi":"10.2967/jnmt.124.268043","DOIUrl":"10.2967/jnmt.124.268043","url":null,"abstract":"<p><p>In the world of nuclear medicine, health care professionals face the challenge of safeguarding themselves and their patients from occupational radiation exposure. As the field experiences exponential growth, driven by the surge in approvals of radiopharmaceuticals for diagnostic and therapeutic applications, it becomes vital to delve into the delivery methods of radiopharmaceuticals. Health care professionals take precautions during radiopharmaceutical administration, including maintaining distance from radioactive sources, using shielding, limiting exposure time, and monitoring radiation levels with badges. Regular evaluations provide compliance with recommended exposure limits, yet concerns persist, especially regarding the cumulative radiation exposure from manual injections over time. Understanding the long-term effects of radiation exposure has spurred the development of cutting-edge medical device technologies, such as autoinjectors, designed to administer radiopharmaceuticals accurately while minimizing total radiation dose to health care professionals. The U.S. Pharmacopeia 825 regulation refers to these devices as \"direct infusion systems.\" Nuclear medicine technologists commonly refer to them as \"autoinjectors,\" whereas device manufacturers may use terms such as injection system, radiopharmaceutical injector, or infusion system. Despite variations in terminology, these devices hold a pivotal role in shaping the future of radiopharmaceutical delivery. In an era of escalating demand for PET procedures worldwide, skilled health care professionals ensure the safe and precise dosing of radiopharmaceuticals. This article explores the state-of-the-art medical devices in radiopharmaceutical delivery, spotlighting transformative medical devices currently revolutionizing the nuclear medicine landscape in the global market.</p>","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"2-6"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142621933","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Errata.
IF 1
{"title":"Errata.","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":"53 1","pages":"86"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567284","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Technologist News.
IF 1
{"title":"Technologist News.","authors":"","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":"53 1","pages":"7A"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567287","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Software Discrepancies in Radionuclide-Derived Left Ventricular Ejection Fraction. 放射性核素衍生左心室射血分数的软件差异。
IF 1
Journal of nuclear medicine technology Pub Date : 2025-03-05 DOI: 10.2967/jnmt.124.268665
Rune H Kappel, Helle Precht, Thomas Q Christensen, Søren Hess, Martin W Kusk
{"title":"Software Discrepancies in Radionuclide-Derived Left Ventricular Ejection Fraction.","authors":"Rune H Kappel, Helle Precht, Thomas Q Christensen, Søren Hess, Martin W Kusk","doi":"10.2967/jnmt.124.268665","DOIUrl":"10.2967/jnmt.124.268665","url":null,"abstract":"<p><p>Gated equilibrium radionuclide angiography (ERNA), or multigated acquisition scanning, is a well-established technique to monitor left ventricular ejection fraction (LVEF) in patients treated with potentially cardiotoxic chemotherapy. To determine the results of a true change in LVEF, low inter- and intrareader variability is important. The aim of this study was to investigate inter- and intrareader variability in LVEF measurements using 2 different commercially available software packages with cardiac MR (CMR) as a reference standard. <b>Methods:</b> In 46 ERNA scans, LVEF was measured by 2 experienced nuclear medicine technologists, using the 2 software packages Xeleris and Corridor4DM. All patients had CMR performed within 1.5 h from ERNA. CMR-derived LVEF was measured by a cardiologist using cvi42 software. Eight patients were reanalyzed to investigate intrareader variability. Bland-Altman analysis was used to assess agreement between readers and software. Repeated-measures ANOVA was used to assess interactions between readers and software. Differences in mean LVEF were compared using a <i>t</i> test. The Lin concordance correlation coefficient (CCC) was used to test LVEF agreement between software packages and readers and the reference CMR results. <b>Results:</b> Corridor4DM had a significantly higher mean LVEF than did Xeleris. No significant interreader difference was observed within the same software. ANOVA found that readers did not influence LVEFs. The CCC between software packages was similar for both readers, at 0.409 for reader 1 and 0.418 for reader 2. Both software packages showed a significant LVEF bias compared with CMR (4% for Xeleris vs. 11% for Corridor4DM). For both readers, the CCC for correlation with MRI was higher for Xeleris (0.438/0.572) than for Corridor4DM (0.257/0.244). <b>Conclusion:</b> A high degree of variability was found between the 2 different software packages for the calculation of LVEF. No significant difference in LVEF was found between readers using the same software. Corridor4DM gave higher LVEF estimates than did Xeleris. Our findings suggest that different software programs for assessing LVEF in ERNA examinations are not interchangeable. The utmost caution is recommended if switching between different types of software.</p>","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"36-43"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143006862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Radiation Dose Savings Associated with Personalized CT Scan Range in 18F-NaF Bone PET/CT.
IF 1
Journal of nuclear medicine technology Pub Date : 2025-03-05 DOI: 10.2967/jnmt.124.268246
Natalie A Bebbington, Helle D Zacho, Paw C Holdgaard
{"title":"Radiation Dose Savings Associated with Personalized CT Scan Range in <sup>18</sup>F-NaF Bone PET/CT.","authors":"Natalie A Bebbington, Helle D Zacho, Paw C Holdgaard","doi":"10.2967/jnmt.124.268246","DOIUrl":"10.2967/jnmt.124.268246","url":null,"abstract":"<p><p>A disadvantage of <sup>18</sup>F-NaF PET/CT compared with other types of bone scintigraphy is the additional radiation dose from the standard whole-body CT scan for lesion localization and characterization (L/C). This study investigated whether the L/C CT region can be personalized to reduce CT radiation dose, according to uptake in the PET images. <b>Methods:</b> Attenuation-corrected <sup>18</sup>F-NaF PET images were reviewed for the clinically required L/C CT range by 1 medical observer and 1 technologist observer in 25 patients with breast cancer scanned before neoadjuvant chemotherapy. For each patient, effective doses were estimated for whole-body L/C CT, personalized L/C CT, and whole-body CT for attenuation correction only. Dose savings for the personalized method incorporating both whole-body CT for attenuation correction and personalized L/C CT were expressed relative to standard whole-body L/C CT. The clinical impact of the personalized method was determined by evaluating whether lesions clinically requiring coverage had been missed from the L/C CT region. <b>Results:</b> Potential dose savings of 43%-54% were estimated for the personalized CT method, according to the observers. From the 25 patients reviewed, the medical observer did not miss any clinically significant lesions from the L/C CT region, whereas the technologist observer missed 2 clinically significant lesions of 61 suggestive lesions identified by medical observer follow-up. <b>Conclusion:</b> Mean CT dose could be reduced by around half in this patient group with personalized CT. Future work should further evaluate whether this method can be implemented in clinical practice without compromising clinical image evaluation.</p>","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"80-86"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Monte Carlo Simulation of Characteristics of Discovery NM/CT 670 Pro SPECT System for Routinely Used Diagnostic and Therapeutic Radionuclides.
IF 1
Journal of nuclear medicine technology Pub Date : 2025-03-05 DOI: 10.2967/jnmt.124.268696
Viraj Sawant, Sneha Mithun, Ashish K Jha, Venkatesh Rangarajan
{"title":"Monte Carlo Simulation of Characteristics of Discovery NM/CT 670 Pro SPECT System for Routinely Used Diagnostic and Therapeutic Radionuclides.","authors":"Viraj Sawant, Sneha Mithun, Ashish K Jha, Venkatesh Rangarajan","doi":"10.2967/jnmt.124.268696","DOIUrl":"10.2967/jnmt.124.268696","url":null,"abstract":"<p><p>The collimator in the SPECT imaging system is a critical component that uniquely influences image quality. Collimator selection for the imaging of the specific isotope is of the utmost importance. This study used Monte Carlo simulations to evaluate the response of different collimators for commonly used radionuclides in SPECT imaging. <b>Methods:</b> The Simulating Medical Imaging Nuclear Detectors Monte Carlo program was used to simulate the Discovery NM/CT 670 Pro SPECT system equipped for a collimator-radionuclide pair to optimize the selection of the collimator for SPECT imaging. Low-energy high-resolution (LEHR), medium-energy general-purpose (MEGP), and high-energy general-purpose (HEGP) collimators were simulated with <sup>99m</sup>Tc, <sup>177</sup>Lu, and <sup>131</sup>I point sources (1 MBq) to evaluate spatial resolution, sensitivity, scatter fraction, and septal penetration. The results were analyzed for the optimization of the collimator-radionuclide pair. <b>Results:</b> For <sup>99m</sup>Tc (γ-energy, 140 keV), the resolution (full width at half maximum), sensitivity, scatter fraction, and septal penetration for LEHR, MEGP, and HEGP were 7.03 mm, 189 counts per minute (cpm)/μCi, 3.50%, and 2.65%; 9.3 mm, 184 cpm/μCi, 2.32%, and 1.35%; and 11.3 mm, 224 cpm/μCi, 2.05%, and 1.27%, respectively. For <sup>177</sup>Lu (γ-energy, 113 and 208 keV), the respective values were 7.5 mm, 62.52 cpm/μCi, 22.22%, and 18.56%; 9.6 mm, 20 cpm/μCi, 3.36%, and 2.19%; and 12.03 mm, 25 cpm/μCi, 2.88%, and 1.89%. For <sup>131</sup>I (γ-energy, 364 keV), the respective values were 11.5 mm, 6,027 cpm/μCi, 28.80%, and 49.78%; 11.3 mm, 152 cpm/μCi, 43.49%, and 32.89%; and 14.08 mm, 86 cpm/μCi, 23.85%, and 17.96%. <b>Conclusion:</b> The study highlighted the need to understand collimator characteristics as a function of photon energy, where quantitative evaluation is the main aspect. The study suggests that the collimators that had optimal characteristics for imaging with <sup>99m</sup>Tc, <sup>177</sup>Lu, and <sup>131</sup>I were the LEHR, MEGP, and HEGP collimators, respectively.</p>","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"30-35"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Robustness of 18F-FDG PET Radiomic Features in Lung Cancer: Impact of Advanced Reconstruction Algorithm.
IF 1
Journal of nuclear medicine technology Pub Date : 2025-03-05 DOI: 10.2967/jnmt.124.268252
Pooja Dwivedi, Sagar Barage, Ashish Kumar Jha, Sayak Choudhury, Venkatesh Rangarajan
{"title":"Robustness of <sup>18</sup>F-FDG PET Radiomic Features in Lung Cancer: Impact of Advanced Reconstruction Algorithm.","authors":"Pooja Dwivedi, Sagar Barage, Ashish Kumar Jha, Sayak Choudhury, Venkatesh Rangarajan","doi":"10.2967/jnmt.124.268252","DOIUrl":"10.2967/jnmt.124.268252","url":null,"abstract":"<p><p><sup>18</sup>F-FDG PET radiomics is emerging as a promising tool to identify imaging biomarkers for quantifying intratumor heterogeneity in lung cancer. However, the robustness of PET radiomic features (RFs) is influenced by factors such as image reconstruction algorithms, tumor segmentation, and discretization. Although the impact of these factors on RFs has been explored, the specific influence of the advanced block sequential regularized expectation maximization (BSREM) reconstruction algorithm remains unclear. This study investigated the potential variations in PET RFs associated with different factors when using BSREM. <b>Methods:</b> Retrospective data of <sup>18</sup>F-FDG PET from 120 lung cancer patients were reconstructed twice using advanced BSREM and conventional ordered-subset expectation maximization methods. For each reconstruction set, 3 tumor segmentations were performed, including manual, 40% threshold, and Nestle methods. Two discretization methods using absolute and relative settings were applied for each dataset before RF extraction. Stable and robust RFs were assessed by the coefficient of variance and intraclass correlation coefficient, respectively. <b>Results:</b> High instability was exhibited by 19%, 33%, and 36% of RFs, with a coefficient of variation of more than 20% for reconstruction, segmentation, and discretization, respectively. Conversely, 60%, 19%, and 35% of RFs demonstrated robustness against these factors, with an intraclass correlation coefficient of more than 0.90. The comparative evaluation revealed significantly greater robustness for most RF subtypes in BSREM than in ordered-subset expectation maximization under varying segmentation and discretization conditions (<i>P</i> < 0.05). <b>Conclusion:</b> The stability and robustness of PET RFs are enhanced if BSREM is applied rather than the conventional method. Study results suggest that the advanced reconstruction method could offer potential benefits in providing consistent PET-based radiomic analysis for improving diagnostic and prognostic value.</p>","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":" ","pages":"50-56"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143255871","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Building a Stronger Workforce: SNMMI-TS Progress and Partnerships.
IF 1
Julie Dawn Bolin
{"title":"Building a Stronger Workforce: SNMMI-TS Progress and Partnerships.","authors":"Julie Dawn Bolin","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":16548,"journal":{"name":"Journal of nuclear medicine technology","volume":"53 1","pages":"5A-6A"},"PeriodicalIF":1.0,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143567269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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