Journal of Nuclear Cardiology最新文献

{"title":"Washout rate of cardiac 123I-meta-iodobenzylguanidine and ischemic stroke outcome","authors":"Sylvie De Raedt MD, PhD , Ilse Peeters MD , Geraldine Vanderschueren MD , Amber Nous MD , Sophie Bourgeois MD, PhD , Fenne Vandervorst MD , Jacques De Keyser MD, PhD , Kenichi Nakajima MD, PhD , Hein J. Verberne MD, PhD","doi":"10.1016/j.nuclcard.2024.102105","DOIUrl":"10.1016/j.nuclcard.2024.102105","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"45 ","pages":"Article 102105"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142791856","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":"Feasibility of the absolute quantification and left ventricular segmentation of cardiac sympathetic innervation in wild-type transthyretin amyloidosis cardiomyopathy with [123I]-MIBG SPECT/CT: The I-NERVE study","authors":"Alwin Tubben MD ,&nbsp;Niek H.J. Prakken MD, PhD ,&nbsp;Oleksandra V. Ivashchenko PhD ,&nbsp;Hendrea S.A. Tingen MD ,&nbsp;Andor W.J.M. Glaudemans MD, PhD ,&nbsp;Walter Noordzij MD, PhD ,&nbsp;Hans L.A. Nienhuis MD, PhD ,&nbsp;Peter van der Meer MD, PhD ,&nbsp;Riemer H.J.A. Slart MD, PhD","doi":"10.1016/j.nuclcard.2025.102146","DOIUrl":"10.1016/j.nuclcard.2025.102146","url":null,"abstract":"<div><h3>Background</h3><div>Cardiac sympathetic neuronal dysfunction is an early marker in wild-type transthyretin amyloidosis cardiomyopathy (ATTRwt-CM). Iodine-123-labeled norepinephrine analog meta-iodobenzylguanidine ([¹²³I]-MIBG) imaging evaluates cardiac sympathetic innervation but lacks volumetric activity quantification in current methods. This study aims to quantify cardiac sympathetic neuronal dysfunction in ATTRwt-CM using [¹²³I]-MIBG single-photon emission computed tomography/ computed tomography (SPECT/CT) and correlate findings with functional and structural cardiac parameters from echocardiogram and cardiac magnetic resonance imaging (CMR).</div></div><div><h3>Methods</h3><div>We conducted a single-center, descriptive, cross-sectional study to quantify absolute myocardial sympathetic function in ATTRwt-CM using [¹²³I]-MIBG SPECT/CT. Retrospective reconstruction allowed for absolute tracer-uptake quantification of the left ventricle, overall and segmented, in kBq/mL, standard uptake value (SUV), and percentage of the injected dose (%ID). Echocardiography, CMR, and bone scintigraphy were performed according to clinical standards. Segmented [¹²³I]-MIBG SPECT/CT values were correlated with global longitudinal systolic strain (GLSS) on echocardiography, native-T1, and extracellular volume (ECV) on CMR using SPECT/CT fused with CMR.</div></div><div><h3>Results</h3><div>Twenty-nine ATTRwt-CM patients (75.8 ± 6.6 years, 90% male) were prospectively included. All exhibited cardiac sympathetic neuronal dysfunction, with a median late heart-to-mediastinum ratio of 1.69 (1.45–1.89) and a washout rate of 22.7% (16.4%–27.3%). SUV_mean, SUV_peak, SUV_max, and %ID were 1.80 ± .78, 3.84 ± 1.41, 4.46 ± 1.68, and .46 ± .18, respectively, correlating with semiquantitative [¹²³I]-MIBG measures. No correlations were found with GLSS on echocardiography or native T1 and ECV on CMR.</div></div><div><h3>Conclusions</h3><div>The current study demonstrates the feasibility of volumetric quantification of [¹²³I]–MIBG SPECT/CT in ATTRwt-CM. SUV_mean, SUV_peak, SUV_max, and %ID correlate with semi-quantitative measures but not with key cardiac parameters on echocardiography or CMR. This confirms the sensitivity of [¹²³I]-MIBG SPECT/CT to different aspects of cardiac function or pathology.</div></div><div><h3>Trial registration</h3><div>EudraCT ref. 2020-003350-72, retrospectively registered March 20, 2023. <span><span>https://classic.clinicaltrials.gov/ct2/show/NCT05776212</span><svg><path></path></svg></span>.</div></div>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"45 ","pages":"Article 102146"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143254759","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative approaches to 18F-flurpiridaz positron emission tomography image analysis","authors":"René R. Sevag Packard ,&nbsp;Robert A. deKemp ,&nbsp;Juhani Knuuti ,&nbsp;Jonathan B. Moody ,&nbsp;Jennifer M. Renaud ,&nbsp;Antti Saraste ,&nbsp;Piotr J. Slomka","doi":"10.1016/j.nuclcard.2025.102180","DOIUrl":"10.1016/j.nuclcard.2025.102180","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"45 ","pages":"Article 102180"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143743237","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":"Potential worldwide impact of F-18 Flurpiridaz positron emission tomography myocardial perfusion imaging","authors":"Mouaz H. Al-Mallah MD, MSc ,&nbsp;Firas Al Badarin MD, MSc ,&nbsp;Frank Bengel MD ,&nbsp;Gabriel B. Grossman MD, PhD, FASNC ,&nbsp;Diana Paez MD ,&nbsp;Alicia L. Coronel Pharm ,&nbsp;Maria Alwan MD ,&nbsp;Ahmed Aljizeeri MD ,&nbsp;Roxana Campisi MD, MASNC","doi":"10.1016/j.nuclcard.2025.102167","DOIUrl":"10.1016/j.nuclcard.2025.102167","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"45 ","pages":"Article 102167"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143743234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"F-18-Flurpiridaz positron emission tomography myocardial perfusion imaging clinical results in specific patient populations","authors":"Krishna K. Patel MD, MSc ,&nbsp;Stephen Horgan MD, PhD ,&nbsp;Gary V. Heller MD, PhD ,&nbsp;Timothy M. Bateman MD","doi":"10.1016/j.nuclcard.2025.102166","DOIUrl":"10.1016/j.nuclcard.2025.102166","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"45 ","pages":"Article 102166"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143748492","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":"Impact of transmurality and location on the diagnostic performance of 13N-ammonia positron emission tomography in the detection of myocardial fibrosis - A hybrid positron emission tomography/magnetic resonance study.","authors":"Pascal S Heiniger, Gian Diego Igual, Andrei Galafton, Tobia Albertini, Marko Gajic, Stjepan Jurisic, Rita Pingree, Dominik C Benz, Aju P Pazhenkottil, Andreas A Giannopoulos, Philipp A Kaufmann, Ronny R Buechel","doi":"10.1016/j.nuclcard.2025.102172","DOIUrl":"10.1016/j.nuclcard.2025.102172","url":null,"abstract":"<p><strong>Background: </strong>The influence of fibrosis transmurality and location on the diagnostic performance of positron emission tomography (PET) myocardial perfusion imaging (MPI) for detecting myocardial fibrosis remains unclear.</p><p><strong>Methods and results: </strong>One hundred patients with suspected or known coronary artery disease (n = 50) or with a history of myocarditis (n = 50) underwent simultaneous cardiac magnetic resonance (CMR) and 13N-ammonia PET imaging on a hybrid positron emission tomography/magnetic resonance (PET/MR) device. CMR served as the reference with late gadolinium enhancement defining fibrosis of the left ventricular myocardium. PET MPI was assessed for fibrosis qualitatively (i.e. visually), semiquantitatively, and quantitatively (both threshold-based). From CMR, for every segment, the transmurality and location (subendocardial, midmyocardial, or subepicardial) of fibrosis were recorded. The sensitivity and specificity of qualitatively analyzed PET to detect fibrosis were 83.6% and 84.9% per patient and 52.9% and 96.4% per segment, respectively, outperforming the threshold-based semiquantitative and quantitative analyses. On a per-segment basis, the sensitivity of PET was increasing with transmurality and was dependent on location with higher sensitivities for subendocardial than subepicardial or midmyocardial fibrosis (P < .001). Overall median fibrosis extent, as depicted by PET, was significantly smaller than by CMR (2.0 [IQR 1.0-5.0] vs 3.0 [IQR 2.0-6.0] segments, P < .001).</p><p><strong>Conclusions: </strong>PET yields high sensitivity for the detection of left ventricular (LV) myocardial fibrosis of ischemic or inflammatory etiology on a per-patient basis. However, compared to CMR, the overall fibrosis extent is significantly underestimated because, on a segmental level, sensitivities are significantly lower for fibrosis with lower transmurality and those located subepicardial and midmyocardial, as compared to subendocardial.</p>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":" ","pages":"102172"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143542368","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":"Evaluating AI proficiency in nuclear cardiology: Large language models take on the board preparation exam","authors":"Valerie Builoff BS ,&nbsp;Aakash Shanbhag MSc ,&nbsp;Robert JH. Miller MD ,&nbsp;Damini Dey PhD ,&nbsp;Joanna X. Liang MPH ,&nbsp;Kathleen Flood BS ,&nbsp;Jamieson M. Bourque MD ,&nbsp;Panithaya Chareonthaitawee MD ,&nbsp;Lawrence M. Phillips MD ,&nbsp;Piotr J. Slomka PhD","doi":"10.1016/j.nuclcard.2024.102089","DOIUrl":"10.1016/j.nuclcard.2024.102089","url":null,"abstract":"<div><h3>Background</h3><div>Previous studies evaluated the ability of large language models (LLMs) in medical disciplines; however, few have focused on image analysis, and none specifically on cardiovascular imaging or nuclear cardiology. This study assesses four LLMs—GPT-4, GPT-4 Turbo, GPT-4omni (GPT-4o) (Open AI), and Gemini (Google Inc.)—in responding to questions from the 2023 American Society of Nuclear Cardiology Board Preparation Exam, reflecting the scope of the Certification Board of Nuclear Cardiology (CBNC) examination.</div></div><div><h3>Methods</h3><div>We used 168 questions: 141 text-only and 27 image-based, categorized into four sections mirroring the CBNC exam. Each LLM was presented with the same standardized prompt and applied to each section 30 times to account for stochasticity. Performance over six weeks was assessed for all models except GPT-4o. McNemar's test compared correct response proportions.</div></div><div><h3>Results</h3><div>GPT-4, Gemini, GPT-4 Turbo, and GPT-4o correctly answered median percentages of 56.8% (95% confidence interval 55.4% - 58.0%), 40.5% (39.9% - 42.9%), 60.7% (59.5% - 61.3%), and 63.1% (62.5%–64.3%) of questions, respectively. GPT-4o significantly outperformed other models (<em>P</em> = .007 vs GPT-4 Turbo, <em>P</em> &lt; .001 vs GPT-4 and Gemini). GPT-4o excelled on text-only questions compared to GPT-4, Gemini, and GPT-4 Turbo (<em>P</em> &lt; .001, <em>P</em> &lt; .001, and <em>P</em> = .001), while Gemini performed worse on image-based questions (<em>P</em> &lt; .001 for all).</div></div><div><h3>Conclusion</h3><div>GPT-4o demonstrated superior performance among the four LLMs, achieving scores likely within or just outside the range required to pass a test akin to the CBNC examination. Although improvements in medical image interpretation are needed, GPT-4o shows potential to support physicians in answering text-based clinical questions.</div></div>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"45 ","pages":"Article 102089"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142769756","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":"Diagnostic accuracy of low-dose myocardial perfusion imaging in a real-world setting","authors":"Mathieu Perrin MD ,&nbsp;Marine Claudin MD ,&nbsp;Karim Djaballah MD ,&nbsp;Caroline Boursier MD ,&nbsp;Antoine Verger MD, PhD ,&nbsp;Laetitia Imbert PhD ,&nbsp;Véronique Roch MSc ,&nbsp;Matthieu Doyen PhD ,&nbsp;Loïc Marie MSc ,&nbsp;Gilles Karcher MD, PhD ,&nbsp;Batric Popovic MD, PhD ,&nbsp;Zohra Lamiral MSc ,&nbsp;Edoardo Camenzind MD, PhD ,&nbsp;Pierre-Yves Marie MD, PhD","doi":"10.1016/j.nuclcard.2025.102140","DOIUrl":"10.1016/j.nuclcard.2025.102140","url":null,"abstract":"<div><h3>Background</h3><div>This large-scale study analyzes factors affecting the diagnostic accuracy of low-dose myocardial perfusion imaging and correlation with coronary angiography in a real-world practice.</div></div><div><h3>Methods</h3><div>We compared data extracted from routine reports of (i) low-dose [^99mTc]sestamibi stress-MPI performed with no attenuation correction and predominantly exercise stress testing and (ii) the corresponding coronary angiography.</div></div><div><h3>Results</h3><div>We considered 1070 pairs of coronary angiography/stress-MPI results reported by 11 physicians. Mean MPI effective dose was 4.5 ± 2.1 mSv. The extent of MPI-ischemia was predictive of &gt;70% but not 50%–70% coronary stenoses. A positive test was associated with a sensitivity of 74.7% (413/553) and a specificity of 53.2% (275/517) for &gt;70% stenosis detection. Positive predictive values were lower in patients with left bundle branch block or pacemakers (LBBB/PM) (45.6% vs 64.7%, <em>P</em> = .006) and markedly higher for patients with MPI-ischemia ≥3 segments or associated with ST-segment depression (75.0% (165/220)) as compared to those with &lt;3 segments MPI-ischemia, MPI-infarction or isolated ST-segment depression (57% (248.0/435), <em>P</em> &lt; .001). Negative predictive values were lower for patients with previous coronary artery disease (CAD) history (58.3%), male (61.0%), and elderly patients (59.6%) (vs 72.1%, 79.2%, and 72.4%, respectively, all <em>P</em> &lt; .05).</div></div><div><h3>Conclusions</h3><div>Routine results from low-dose stress-MPI, predominantly associated with exercise stress testing and uncorrected for attenuation, correlate with real-world coronary angiography results. However, this correlation is lower than that achieved with conventional study designs and affected by the definition of significant CAD and context variables (LBBB/PM, CAD history, sex, and age). Better consideration of these interacting factors could improve patient monitoring.</div></div>","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":"45 ","pages":"Article 102140"},"PeriodicalIF":3.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142950268","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":"Serial assessment of diffusion-weighted whole-body magnetic resonance imaging with background body signal suppression and ¹⁸F-fluorodeoxyglcose positron emission tomography/computed tomography after corticosteroid therapy in Takayasu arteritis.","authors":"Kazunori Omote, Motoo Oi, Tadao Aikawa","doi":"10.1016/j.nuclcard.2025.102171","DOIUrl":"10.1016/j.nuclcard.2025.102171","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":" ","pages":"102171"},"PeriodicalIF":3.0,"publicationDate":"2025-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143537149","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":"Increasing angular sampling for dedicated cardiac single photon emission computed tomography scanner: Implementation with deep learning and validation with human data.","authors":"Huidong Xie, Alaa Alashi, Stephanie L Thorn, Xiongchao Chen, Bo Zhou, Albert J Sinusas, Chi Liu","doi":"10.1016/j.nuclcard.2025.102168","DOIUrl":"10.1016/j.nuclcard.2025.102168","url":null,"abstract":"","PeriodicalId":16476,"journal":{"name":"Journal of Nuclear Cardiology","volume":" ","pages":"102168"},"PeriodicalIF":3.0,"publicationDate":"2025-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143476581","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}