Journal of Nuclear Cardiology最新文献

{"title":"⁸²Rb PET Myocardial Blood Flow Quantification: Influence of Arterial Input Curve Quality on Diagnostic Accuracy.","authors":"Hidesato Fujito, Mark Lemley, Valerie Builoff, Wenhao Zhang, Keiichiro Kuronuma, Giselle Ramirez, Aditya Killekar, Joanna X Liang, Paul Kavanagh, Mark C Hyun, Sean W Hayes, Louise E J Thomson, John D Friedman, Serge D Van Kriekinge, Marcelo F Di Carli, Damini Dey, Daniel S Berman, Piotr J Slomka","doi":"10.1016/j.nuclcard.2025.102270","DOIUrl":"https://doi.org/10.1016/j.nuclcard.2025.102270","url":null,"abstract":"<p><strong>Background: </strong>We investigated whether the shape of arterial blood input curves affects the diagnostic performance of myocardial blood flow (MBF) on Rubidium-82 (⁸²Rb) PET myocardial perfusion imaging (MPI) for obstructive coronary artery disease (CAD).</p><p><strong>Methods and results: </strong>We retrospectively enrolled 386 patients without prior CAD who underwent ⁸²Rb PET-MPI and invasive coronary angiography within 6 months, from 2010 to 2018. Abnormal shapes of stress left atrial blood pool (BP) time activity curve (TAC) were characterized into five categories based on visual/quantitative assessment: (1) low stress/rest peak ratio (SRPR), (2) slow activity rise, (3) slow activity decline, (4) broad peak and (5) multiple peaks. SRPR was defined as the ratio of peak count value on the stress BP activity by rest BP activity. Low SRPR was defined as below the median value (0.82). We compared the diagnostic performance of stress MBF and myocardial flow reserve (MFR) for detecting obstructive CAD (≥70% stenosis) using area under the curve (AUC) analysis. Among five abnormal categories, the AUC of stress MBF in the low SRPR (n=193) group was lower than in the normal SRPR (n=193) group in per-patient (0.67 [0.59-0.74] vs. 0.78 [0.70-0.84], p=0.0499) and per-vessel analysis (0.68 [0.63-0.73] vs. 0.75 [0.71-0.79], p=0.0352). The AUC in slow activity rise group (n=167) for stress MBF was lower than in others in per-vessel analysis (n=219) (0.68 [0.62-0.72] vs. 0.75 [0.70-0.79], p=0.0270). Other abnormal profiles showed no significant differences (all p>0.05).</p><p><strong>Conclusions: </strong>Low SRPR and slow activity rise were associated with reduced diagnostic performance of stress MBF.</p>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":" ","pages":"102270"},"PeriodicalIF":3.0,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144258279","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Priming with specific context improves large language model performance on nuclear cardiology board preparation test.","authors":"Waseem Hijazi, Valerie Builoff, Aditya Killekar, Aakash Shanbhag, Robert Jh Miller, Damini Dey, Joanna X Liang, Kathleen Flood, Daniel Berman, Jamieson M Bourque, Lawrence M Phillips, Panithaya Chareonthaitawee, Piotr J Slomka","doi":"10.1016/j.nuclcard.2025.102269","DOIUrl":"https://doi.org/10.1016/j.nuclcard.2025.102269","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":" ","pages":"102269"},"PeriodicalIF":3.0,"publicationDate":"2025-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144258280","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Benefit of 82-Rubidium Positron Emission Tomography for risk stratification in a patient with Intrapericardial diaphragmatic hernia","authors":"Banu SathyaMurthi MBBS, MRCP, FRCR,&nbsp;Sruthi Sarish MSc, RSO certified,&nbsp;Muhammad Arsalan Khan MBBS, MRCP, CBNC,&nbsp;Parthiban Arumugam MBBS, FRCP, MSc","doi":"10.1016/j.nuclcard.2024.102070","DOIUrl":"10.1016/j.nuclcard.2024.102070","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102070"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142622255","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-driven quantification in 18F-fluorodeoxyglucose positron emission tomography imaging for cardiac sarcoidosis: A step toward objectivity and reproducibility","authors":"Osamu Manabe MD, PhD","doi":"10.1016/j.nuclcard.2025.102224","DOIUrl":"10.1016/j.nuclcard.2025.102224","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102224"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"CME INSTRUCTIONS: Temporal changes in PET myocardial flow reserve: Implications for cardiovascular outcomes","authors":"","doi":"10.1016/j.nuclcard.2025.102246","DOIUrl":"10.1016/j.nuclcard.2025.102246","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102246"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241397","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"AI-enabled CT-guided end-to-end quantification of total cardiac activity in 18FDG cardiac PET/CT for detection of cardiac sarcoidosis","authors":"Robert JH. Miller MD ,&nbsp;Aakash Shanbhag MSc ,&nbsp;Anna M. Marcinkiewicz MD, PhD ,&nbsp;Helen Struble BSc ,&nbsp;Heidi Gransar MSc ,&nbsp;Waseem Hijazi MD ,&nbsp;Hidesato Fujito MD, PhD ,&nbsp;Evan Kransdorf MD, PhD ,&nbsp;Paul Kavanagh MS ,&nbsp;Joanna X. Liang MPH ,&nbsp;Valerie Builoff BSc ,&nbsp;Damini Dey PhD ,&nbsp;Daniel S. Berman MD ,&nbsp;Piotr J. Slomka PhD","doi":"10.1016/j.nuclcard.2025.102195","DOIUrl":"10.1016/j.nuclcard.2025.102195","url":null,"abstract":"<div><h3>Background</h3><div>[18F]-fluorodeoxyglucose ([18F]FDG) positron emission tomography (PET) plays a central role in diagnosing and managing cardiac sarcoidosis. We propose a fully automated pipeline for quantification of [18F]FDG PET activity using deep learning (DL) segmentation of cardiac chambers on computed tomography (CT) attenuation maps and evaluate quantitative approaches based on this framework.</div></div><div><h3>Methods</h3><div>We included consecutive patients undergoing [18F]FDG PET/CT for suspected cardiac sarcoidosis. DL segmented left atrium, left ventricle (LV), right atrium, right ventricle, aorta, LV myocardium, and lungs from CT attenuation scans. CT-defined anatomical regions were applied to [18F]FDG PET images automatically to quantify target to background ratio (TBR), volume of inflammation (VOI) and cardiometabolic activity (CMA) using full sized and shrunk segmentations.</div></div><div><h3>Results</h3><div>A total of 69 patients were included, with mean age of 56.1 ± 13.4 and cardiac sarcoidosis present in 29 (42 %). CMA had highest prediction performance (area under the receiver operating characteristic curve [AUC] .919, 95 % confidence interval [CI] .858 – .980) followed by VOI (AUC .903, 95 % CI .834 – .971), TBR (AUC .891, 95 % CI .819 – .964), and maximum standardized uptake value (AUC .812, 95 % CI .701 – .923). Abnormal CMA (≥1) had a sensitivity of 100 % and specificity 65 % for cardiac sarcoidosis. Lung quantification was able to identify patients with pulmonary abnormalities.</div></div><div><h3>Conclusion</h3><div>We demonstrate that fully automated volumetric quantification of [18F]FDG PET for cardiac sarcoidosis based on CT attenuation map-derived volumetry is feasible, rapid, and has high prediction performance. This approach provides objective measurements of cardiac inflammation with consistent definition of myocardium and background region.</div></div>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102195"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143700045","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The potential of myocardial sympathetic innervation reserve in heart failure","authors":"Hein J. Verberne MD, PhD","doi":"10.1016/j.nuclcard.2025.102232","DOIUrl":"10.1016/j.nuclcard.2025.102232","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102232"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241391","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Moving with the flow","authors":"Erika Hutt MD, MSc","doi":"10.1016/j.nuclcard.2025.102223","DOIUrl":"10.1016/j.nuclcard.2025.102223","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102223"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144241398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of obesity on myocardial flow reserve and its prognostic utility","authors":"Mahmoud Al Rifai MD MPH ,&nbsp;Maria Alwan ,&nbsp;Ahmed Ibrahim Ahmed MD MPH ,&nbsp;Faisal Nabi MD ,&nbsp;Ahmed Soliman MD ,&nbsp;Jean Michel Saad MD ,&nbsp;Sherif F. Nagueh MD ,&nbsp;Tariq Nabil MD ,&nbsp;Khurram Nasir MD MPH ,&nbsp;Kershaw V. Patel MD MSCS ,&nbsp;John J. Mahmarian MD ,&nbsp;Mouaz H. Al-Mallah MD MSc","doi":"10.1016/j.nuclcard.2025.102193","DOIUrl":"10.1016/j.nuclcard.2025.102193","url":null,"abstract":"<div><h3>Background</h3><div>Obesity is a major cardiovascular risk factor associated with coronary microvascular dysfunction, which can be noninvasively assessed using myocardial flow reserve (MFR) on positron emission tomography (PET). As impaired MFR identifies high-risk patients, we assessed whether body mass index (BMI) modifies the association between MFR and cardiovascular outcomes.</div></div><div><h3>Methods</h3><div>Consecutive patients with no known coronary artery disease who had a clinically indicated PET were enrolled and followed prospectively for incident outcomes (all-cause death, major adverse cardiovascular events (MACE), and heart failure admissions). Multivariable-adjusted Cox proportional hazards models were used to study the association between MFR, and incident events stratified by BMI categories.</div></div><div><h3>Results</h3><div>The study population consisted of 3397 patients; median (IQR) age 67 (59-74) years, 55.2% female, 63.9% White, 17.6% with a BMI of 18.5-&lt;25 kg/m², 27.5% with a BMI of 25-&lt;30 kg/m², 38.6% with a BMI of 30-&lt;40 kg/m², and 16.3% with a BMI of ≥40 kg/m². The median (IQR) MFR was 2.35 (1.96-2.80). Over a median (IQR) follow-up time of 1.34 (.43-2.43) years, there were 125 incident events (56 MACE, 6 HF admissions, and 70 deaths). In adjusted analyses, a .1-unit increase in MFR was significantly associated with decreased incident outcomes; HR (95% CI):0.91 (95% CI .84-.99) for BMI 18.5–&lt;25 kg/m², .88 (.83-.94) for BMI 25–&lt;30 kg/m², .93 (.87-.99) for BMI 30–&lt;40 kg/m², and .88 (.76-1.01) for BMI ≥40 kg/m². There was no significant interaction between MFR and BMI; <em>P</em> = .381.</div></div><div><h3>Conclusion</h3><div>PET-derived global MFR is inversely associated with subsequent cardiovascular outcomes in all BMI categories.</div></div>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102193"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143700512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Cardiac positron emission tomography/Computed tomography (PET/CT) in current cardiology guidelines","authors":"Maria Alwan MD,&nbsp;Ahmad El Yaman MD,&nbsp;Ahmed Sayed MD,&nbsp;Asim Shaikh MD,&nbsp;Mahmoud Al Rifai MD, MPH,&nbsp;Mouaz H. Al-Mallah MD, MSc","doi":"10.1016/j.nuclcard.2025.102231","DOIUrl":"10.1016/j.nuclcard.2025.102231","url":null,"abstract":"<div><div>Cardiac positron emission tomography (PET) is increasingly utilized in clinical practice. This review examines the latest clinical practice guidelines from the American College of Cardiology/American Heart Association (ACC/AHA), the European Society of Cardiology (ESC), the International Society for Heart and Lung Transplantation (ISHLT), and multisocietal consensus statements as of December 2024, to assess the extent to which cardiac PET is incorporated into their recommendations.</div></div>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"48 ","pages":"Article 102231"},"PeriodicalIF":3.0,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144028745","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}