Pub Date : 2025-11-01DOI: 10.1016/j.pcad.2025.08.011
Andrew C. Homb , Apollo W. Homb , Hayan Jouni
Imaging of cardiovascular disease is undergoing profound growth and transformation as conventional imaging modalities are increasingly being augmented with molecular functional imaging with the desire to accelerate more specific diagnosis, better quantify disease burden and prognosis, and ultimately provide more effective treatments and measures of success. Positron emission tomography (PET) with novel tracers can now target and image many molecular markers of various cardiovascular diseases, providing insight into changes in myocardial perfusion, fibrosis, metabolism, innervation, tissue repair, and inflammation that often proceeds irreversible structural changes and offers the opportunity for earlier and more targeted intervention via conventional therapy and theranostics concepts. Further, continued technologic advances in PET scanner technology and processing/quantification software (including artificial intelligence) further advances the utility of novel PET radiotracers by allowing for improved image quality and quantification, while reducing acquisition times and doses. While the future is exciting, much work needs to be done to identify and translate the most promising radiotracers to address the many unmet imaging needs of clinical cardiovascular practice.
{"title":"Emerging tracers for cardiac imaging: Innovations and clinical implications","authors":"Andrew C. Homb , Apollo W. Homb , Hayan Jouni","doi":"10.1016/j.pcad.2025.08.011","DOIUrl":"10.1016/j.pcad.2025.08.011","url":null,"abstract":"<div><div>Imaging of cardiovascular disease is undergoing profound growth and transformation as conventional imaging modalities are increasingly being augmented with molecular functional imaging with the desire to accelerate more specific diagnosis, better quantify disease burden and prognosis, and ultimately provide more effective treatments and measures of success. Positron emission tomography (PET) with novel tracers can now target and image many molecular markers of various cardiovascular diseases, providing insight into changes in myocardial perfusion, fibrosis, metabolism, innervation, tissue repair, and inflammation that often proceeds irreversible structural changes and offers the opportunity for earlier and more targeted intervention via conventional therapy and theranostics concepts. Further, continued technologic advances in PET scanner technology and processing/quantification software (including artificial intelligence) further advances the utility of novel PET radiotracers by allowing for improved image quality and quantification, while reducing acquisition times and doses. While the future is exciting, much work needs to be done to identify and translate the most promising radiotracers to address the many unmet imaging needs of clinical cardiovascular practice.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 75-84"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144994982","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.pcad.2025.09.002
Maria Alwan, Alaaeddine El Ghazawi, Ahmad El Yaman, Mahmoud Al Rifai, Mouaz H. Al-Mallah
Single photon emission computed tomography (SPECT) remains the most widely used modality for the assessment of coronary artery disease (CAD) owing to its diagnostic and prognostic value, cost-effectiveness, broad availability, and ability to be performed with exercise testing. However, major cardiology guidelines recommend positron emission tomography (PET) over SPECT when available, largely due to its superior accuracy and ability to provide absolute myocardial blood flow quantification. A key limitation of SPECT is its reliance on relative perfusion imaging, which may overlook diffuse flow reductions, such as those seen in balanced ischemia, diffuse atherosclerosis, and microvascular dysfunction. With the shifting paradigm of CAD toward non-obstructive disease, the need for absolute quantification has become increasingly critical. This review highlights the strengths and limitations of SPECT and explores strategies to preserve its clinical relevance in the PET era. These include the adoption of CZT-SPECT technology for quantification, the use of hybrid systems for attenuation correction and calcium scoring, the adoption of stress-only protocols, the integration of quantitative data and calcium scoring into reporting, and the emerging applications of artificial intelligence (AI) among others.
{"title":"SPECT Myocardial Perfusion Imaging in the Era of PET and Multimodality Imaging: Challenges and Opportunities","authors":"Maria Alwan, Alaaeddine El Ghazawi, Ahmad El Yaman, Mahmoud Al Rifai, Mouaz H. Al-Mallah","doi":"10.1016/j.pcad.2025.09.002","DOIUrl":"10.1016/j.pcad.2025.09.002","url":null,"abstract":"<div><div>Single photon emission computed tomography (SPECT) remains the most widely used modality for the assessment of coronary artery disease (CAD) owing to its diagnostic and prognostic value, cost-effectiveness, broad availability, and ability to be performed with exercise testing. However, major cardiology guidelines recommend positron emission tomography (PET) over SPECT when available, largely due to its superior accuracy and ability to provide absolute myocardial blood flow quantification. A key limitation of SPECT is its reliance on relative perfusion imaging, which may overlook diffuse flow reductions, such as those seen in balanced ischemia, diffuse atherosclerosis, and microvascular dysfunction. With the shifting paradigm of CAD toward non-obstructive disease, the need for absolute quantification has become increasingly critical. This review highlights the strengths and limitations of SPECT and explores strategies to preserve its clinical relevance in the PET era. These include the adoption of CZT-SPECT technology for quantification, the use of hybrid systems for attenuation correction and calcium scoring, the adoption of stress-only protocols, the integration of quantitative data and calcium scoring into reporting, and the emerging applications of artificial intelligence (AI) among others.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 3-9"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145042836","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.pcad.2025.09.008
Teodora Donisan , Daniel Sykora , Dinu V. Balanescu , Ian C. Chang , Grace Lin , Joerg Herrmann , Martin Rodriguez-Porcel
Nuclear cardiology has become an integral component of cardiovascular care in oncology, providing robust tools for the detection, monitoring, and mechanistic assessment of cancer therapy-related cardiac dysfunction. This review outlines the evolving applications of nuclear imaging across the cardio-oncology continuum, from reproducible quantification of left ventricular ejection fraction with multigated acquisition to advanced molecular imaging with positron emission tomography for the identification of pathobiology. We discuss the utility of radionuclide techniques for early detection of subclinical cardiotoxicity, including phase analysis, metabolic imaging with 18F-fluorodeoxyglucose, and emerging tracers targeting inflammation, fibrosis, and immune cell activity. Special considerations are given to their role in differentiating ischemic from non-ischemic injury, evaluating cardiac tumors, and guiding therapeutic decisions. Comparative strengths and limitations relative to other imaging modalities are briefly addressed, along with practical considerations such as access, and modality selection. Looking forward, developments in hybrid imaging, artificial intelligence, and targeted radiotracers are poised to enhance risk stratification and enable personalized, mechanism-based cardioprotection. Nuclear cardiology, when integrated thoughtfully into multimodal strategies, will be essential to advancing precision care in cardio-oncology.
{"title":"Radionuclide imaging in cardio-oncology: A clinical decision-making tool","authors":"Teodora Donisan , Daniel Sykora , Dinu V. Balanescu , Ian C. Chang , Grace Lin , Joerg Herrmann , Martin Rodriguez-Porcel","doi":"10.1016/j.pcad.2025.09.008","DOIUrl":"10.1016/j.pcad.2025.09.008","url":null,"abstract":"<div><div>Nuclear cardiology has become an integral component of cardiovascular care in oncology, providing robust tools for the detection, monitoring, and mechanistic assessment of cancer therapy-related cardiac dysfunction. This review outlines the evolving applications of nuclear imaging across the cardio-oncology continuum, from reproducible quantification of left ventricular ejection fraction with multigated acquisition to advanced molecular imaging with positron emission tomography for the identification of pathobiology. We discuss the utility of radionuclide techniques for early detection of subclinical cardiotoxicity, including phase analysis, metabolic imaging with <sup>18</sup>F-fluorodeoxyglucose, and emerging tracers targeting inflammation, fibrosis, and immune cell activity. Special considerations are given to their role in differentiating ischemic from non-ischemic injury, evaluating cardiac tumors, and guiding therapeutic decisions. Comparative strengths and limitations relative to other imaging modalities are briefly addressed, along with practical considerations such as access, and modality selection. Looking forward, developments in hybrid imaging, artificial intelligence, and targeted radiotracers are poised to enhance risk stratification and enable personalized, mechanism-based cardioprotection. Nuclear cardiology, when integrated thoughtfully into multimodal strategies, will be essential to advancing precision care in cardio-oncology.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 66-74"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145103226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.pcad.2025.09.005
Besir Besir, Tamari Lomaia, Shivabalan Kathavarayan Ramu, Judah Rajendran, Grant W. Reed, Rishi Puri, Serge C. Harb, Zoran Popovic, Amar Krishnaswamy, Samir R. Kapadia
Objectives
This study explores the impact of lower baseline aortic valve (AV) mean gradients on the clinical outcomes of patients with low-gradient aortic stenosis (LG AS) post-transcatheter aortic valve replacement (TAVR). Additionally, the study aims to understand the predictors of a lower baseline AV mean gradient (MG).
Background
Reduced left ventricular ejection fraction (LVEF) and low-flow states are known to correlate with worse clinical outcomes. Lower mean gradients are also known to correlate with poorer outcomes, but the outcomes of patients with very low-gradient AS compared to low-gradient AS are not well understood.
Methods
This is a retrospective cohort of patients >18 years who underwent TAVR at Cleveland Clinic between 2016 and 2020. Only patients with AV area < 1 cm2, and AV MG <40 mmHg were included. Patients who underwent valve-in-valve TAVR were excluded. Patients were classified into 3 tertiles according to their baseline AV MG. Clinical outcomes included mortality and heart failure hospitalization. Survival analysis was used to assess the clinical outcomes between the tertiles.
Results
Around 60 % of the patients in this study were males, with a mean age of 80 years. The mean AV MG was 21.8 ± 4.0 mmHg for the first tertile, 30.9 ± 1.9 mmHg for the second tertile, and 37.1 ± 1.6 mmHg for the third tertile. The present study shows that patients with very low-gradient AS (first tertile) have higher mortality rates compared to those with low-gradient AS (third tertile) (hazard ratio: 2.07, 95 % confidence interval (1.2–3.6)), even after stratifying by flow and by LVEF. Lower stroke volume index (SVI), lower LVEF, atrial fibrillation, and moderate to severe TR were associated with lower mean gradients.
Conclusions
Patients with very low-gradient AS have worse outcomes than those with low-gradient AS. Multiple clinical characteristics, including a lower SVI, lower LVEF, and atrial fibrillation, correlate with having very low-gradient AS. Therefore patients with low-gradient AS should undergo earlier intervention to improve their clinical outcomes.
{"title":"Clinical outcomes following TAVR for patients with low and very low gradient aortic stenosis","authors":"Besir Besir, Tamari Lomaia, Shivabalan Kathavarayan Ramu, Judah Rajendran, Grant W. Reed, Rishi Puri, Serge C. Harb, Zoran Popovic, Amar Krishnaswamy, Samir R. Kapadia","doi":"10.1016/j.pcad.2025.09.005","DOIUrl":"10.1016/j.pcad.2025.09.005","url":null,"abstract":"<div><h3>Objectives</h3><div>This study explores the impact of lower baseline aortic valve (AV) mean gradients on the clinical outcomes of patients with low-gradient aortic stenosis (LG AS) post-transcatheter aortic valve replacement (TAVR). Additionally, the study aims to understand the predictors of a lower baseline AV mean gradient (MG).</div></div><div><h3>Background</h3><div>Reduced left ventricular ejection fraction (LVEF) and low-flow states are known to correlate with worse clinical outcomes. Lower mean gradients are also known to correlate with poorer outcomes, but the outcomes of patients with very low-gradient AS compared to low-gradient AS are not well understood.</div></div><div><h3>Methods</h3><div>This is a retrospective cohort of patients >18 years who underwent TAVR at Cleveland Clinic between 2016 and 2020. Only patients with AV area < 1 cm<sup>2</sup>, and AV MG <40 mmHg were included. Patients who underwent valve-in-valve TAVR were excluded. Patients were classified into 3 tertiles according to their baseline AV MG. Clinical outcomes included mortality and heart failure hospitalization. Survival analysis was used to assess the clinical outcomes between the tertiles.</div></div><div><h3>Results</h3><div>Around 60 % of the patients in this study were males, with a mean age of 80 years. The mean AV MG was 21.8 ± 4.0 mmHg for the first tertile, 30.9 ± 1.9 mmHg for the second tertile, and 37.1 ± 1.6 mmHg for the third tertile. The present study shows that patients with very low-gradient AS (first tertile) have higher mortality rates compared to those with low-gradient AS (third tertile) (hazard ratio: 2.07, 95 % confidence interval (1.2–3.6)), even after stratifying by flow and by LVEF. Lower stroke volume index (SVI), lower LVEF, atrial fibrillation, and moderate to severe TR were associated with lower mean gradients.</div></div><div><h3>Conclusions</h3><div>Patients with very low-gradient AS have worse outcomes than those with low-gradient AS. Multiple clinical characteristics, including a lower SVI, lower LVEF, and atrial fibrillation, correlate with having very low-gradient AS. Therefore patients with low-gradient AS should undergo earlier intervention to improve their clinical outcomes.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 92-102"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145034735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.pcad.2025.09.010
Robert J.H. Miller , Panithaya Chareonthaitawee , Piotr J. Slomka
Artificial intelligence (AI) is rapidly reshaping cardiovascular imaging, with nuclear cardiology uniquely positioned to benefit. By addressing the technical complexity of image acquisition, reconstruction, and interpretation, AI can enhance image quality, reduce radiation exposure, and improve efficiency. Beyond image optimization, AI enables virtual attenuation correction and automated quantification of novel risk markers that are otherwise impractical to assess manually. Machine learning models can also integrate multimodal data, including clinical, stress, and imaging features, to support more accurate diagnosis and to refine risk stratification. Deep learning can be used to provide direct diagnostic or risk stratification estimates from nuclear cardiology images. This review highlights recent advances in AI within nuclear cardiology, outlines their potential to transform clinical workflows, and discusses future directions for integrating these tools into routine practice.
{"title":"Artificial intelligence in nuclear cardiology: Enhancing diagnostic accuracy and efficiency","authors":"Robert J.H. Miller , Panithaya Chareonthaitawee , Piotr J. Slomka","doi":"10.1016/j.pcad.2025.09.010","DOIUrl":"10.1016/j.pcad.2025.09.010","url":null,"abstract":"<div><div>Artificial intelligence (AI) is rapidly reshaping cardiovascular imaging, with nuclear cardiology uniquely positioned to benefit. By addressing the technical complexity of image acquisition, reconstruction, and interpretation, AI can enhance image quality, reduce radiation exposure, and improve efficiency. Beyond image optimization, AI enables virtual attenuation correction and automated quantification of novel risk markers that are otherwise impractical to assess manually. Machine learning models can also integrate multimodal data, including clinical, stress, and imaging features, to support more accurate diagnosis and to refine risk stratification. Deep learning can be used to provide direct diagnostic or risk stratification estimates from nuclear cardiology images. This review highlights recent advances in AI within nuclear cardiology, outlines their potential to transform clinical workflows, and discusses future directions for integrating these tools into routine practice.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 85-91"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145214916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.pcad.2025.11.001
Chaitanya Rojulpote , Sarah A.M. Cuddy , Marie Foley Kijewski , Sharmila Dorbala
Cardiac amyloidosis is increasingly recognized as an underdiagnosed cause of heart failure. This review article provides an overview of the role of multimodality cardiovascular imaging in raising the suspicion of cardiac amyloidosis, confirming the diagnosis, providing risk assessment and detection of myocardial changes in response to therapy. The clinical use of multimodality imaging in diagnosing cardiac amyloidosis is illustrated through a case-based approach. Finally, the emerging role of cardiac positron emission tomography as well as artificial intelligence in cardiac amyloidosis is discussed.
{"title":"Multimodality imaging approaches for diagnosis of cardiac amyloidosis","authors":"Chaitanya Rojulpote , Sarah A.M. Cuddy , Marie Foley Kijewski , Sharmila Dorbala","doi":"10.1016/j.pcad.2025.11.001","DOIUrl":"10.1016/j.pcad.2025.11.001","url":null,"abstract":"<div><div>Cardiac amyloidosis is increasingly recognized as an underdiagnosed cause of heart failure. This review article provides an overview of the role of multimodality cardiovascular imaging in raising the suspicion of cardiac amyloidosis, confirming the diagnosis, providing risk assessment and detection of myocardial changes in response to therapy. The clinical use of multimodality imaging in diagnosing cardiac amyloidosis is illustrated through a case-based approach. Finally, the emerging role of cardiac positron emission tomography as well as artificial intelligence in cardiac amyloidosis is discussed.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 21-29"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145460901","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2025-11-01DOI: 10.1016/j.pcad.2025.09.007
Ahmad El Yaman, Maria Alwan, Alaaeddine El Ghazawi, Mouaz H. Al-Mallah, Mahmoud Al Rifai
Hybrid imaging has transformed nuclear cardiology by integrating anatomical and molecular data. Positron emission tomography (PET) /CT and single-photon emission computed tomography (SPECT)/CT improve diagnostic accuracy through attenuation correction, coronary artery calcium (CAC) scoring, and precise localization of tracer uptake. These advances enhance risk stratification, differentiate obstructive from microvascular disease, and detect extracardiac pathology. Despite these strengths, adoption remains limited. Misregistration, motion artifacts, and suboptimal CT quality restrict image reliability, while reimbursement gaps, workforce shortages, and training standards may hinder broader adoption. The frequent detection of incidental findings further underscores the need for structured reporting protocols, yet reimbursement pathways remain unclear.
PET/magnetic resonance imaging (MRI) offers unique advantages by combining the molecular sensitivity of PET with the superior soft tissue characterization of MRI, without additional radiation. This modality is particularly valuable in myocarditis, sarcoidosis, viability assessment, and cardiac tumors, where multiparametric data refine diagnosis and guide management. Motion correction using real-time MRI tracking adds further potential. However, PET/MRI adoption is constrained by high costs, technical complexity, prolonged scan times, and limited validation outside tertiary centers. The lack of large multicenter outcome studies continues to restrict its role to research settings, where its strengths in tissue characterization and integrated functional assessment are most apparent.
{"title":"Advances in nuclear hybrid imaging: The role of SPECT/CT, PET/CT, and PET/MRI in cardiovascular diseases","authors":"Ahmad El Yaman, Maria Alwan, Alaaeddine El Ghazawi, Mouaz H. Al-Mallah, Mahmoud Al Rifai","doi":"10.1016/j.pcad.2025.09.007","DOIUrl":"10.1016/j.pcad.2025.09.007","url":null,"abstract":"<div><div>Hybrid imaging has transformed nuclear cardiology by integrating anatomical and molecular data. Positron emission tomography (PET) /CT and single-photon emission computed tomography (SPECT)/CT improve diagnostic accuracy through attenuation correction, coronary artery calcium (CAC) scoring, and precise localization of tracer uptake. These advances enhance risk stratification, differentiate obstructive from microvascular disease, and detect extracardiac pathology. Despite these strengths, adoption remains limited. Misregistration, motion artifacts, and suboptimal CT quality restrict image reliability, while reimbursement gaps, workforce shortages, and training standards may hinder broader adoption. The frequent detection of incidental findings further underscores the need for structured reporting protocols, yet reimbursement pathways remain unclear.</div><div>PET/magnetic resonance imaging (MRI) offers unique advantages by combining the molecular sensitivity of PET with the superior soft tissue characterization of MRI, without additional radiation. This modality is particularly valuable in myocarditis, sarcoidosis, viability assessment, and cardiac tumors, where multiparametric data refine diagnosis and guide management. Motion correction using real-time MRI tracking adds further potential. However, PET/MRI adoption is constrained by high costs, technical complexity, prolonged scan times, and limited validation outside tertiary centers. The lack of large multicenter outcome studies continues to restrict its role to research settings, where its strengths in tissue characterization and integrated functional assessment are most apparent.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 43-50"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145083038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
This review highlights the evolving role of positron emission tomography (PET) in quantifying myocardial blood flow (MBF) and myocardial flow reserve (MFR) and its expanding clinical impact. The relative nature of perfusion assessment with single photon emission computed tomography often underestimates disease in patients with multivessel or microvascular involvement. Positron emission tomography (PET) enables absolute quantification of myocardial blood flow (MBF) and myocardial flow reserve (MFR), which provides deeper insights into coronary physiology. PET-derived MBF and MFR have shown clear diagnostic and prognostic value across a broad spectrum of conditions, including obstructive coronary artery disease, ischemia and angina without obstructive coronary artery disease, post-heart transplant cardiac allograft vasculopathy surveillance, diabetes, hypertension, and systemic inflammatory diseases. Impaired flow reserve consistently predicts adverse outcomes, even in the absence of visible perfusion defects. Newer tracers such as 18F-flurpiridaz, with their favorable kinetics and logistical advantages, are poised to expand clinical accessibility. At the same time, innovations such as artificial intelligence–driven analysis and total-body PET promise greater reproducibility and efficiency, further integrating flow assessment into everyday practice. Professional society guidelines now recommend routine incorporation of flow quantification into stress PET imaging, yet barriers remain, including limited access, heterogeneity in protocols, and a need for outcome-driven trials. As technology and evidence evolve, PET-based flow quantification is positioned to become an essential tool in precision cardiovascular care, bridging the gap between physiology and clinical decision-making.
{"title":"Quantification of myocardial blood flow using PET: Current status, clinical applications, and future directions","authors":"Shekhar Vohra , Sakul Sakul , Vikram Agarwal , Krishna K. Patel","doi":"10.1016/j.pcad.2025.09.011","DOIUrl":"10.1016/j.pcad.2025.09.011","url":null,"abstract":"<div><div>This review highlights the evolving role of positron emission tomography (PET) in quantifying myocardial blood flow (MBF) and myocardial flow reserve (MFR) and its expanding clinical impact. The relative nature of perfusion assessment with single photon emission computed tomography often underestimates disease in patients with multivessel or microvascular involvement. Positron emission tomography (PET) enables absolute quantification of myocardial blood flow (MBF) and myocardial flow reserve (MFR), which provides deeper insights into coronary physiology. PET-derived MBF and MFR have shown clear diagnostic and prognostic value across a broad spectrum of conditions, including obstructive coronary artery disease, ischemia and angina without obstructive coronary artery disease, post-heart transplant cardiac allograft vasculopathy surveillance, diabetes, hypertension, and systemic inflammatory diseases. Impaired flow reserve consistently predicts adverse outcomes, even in the absence of visible perfusion defects. Newer tracers such as <sup>18</sup>F-flurpiridaz, with their favorable kinetics and logistical advantages, are poised to expand clinical accessibility. At the same time, innovations such as artificial intelligence–driven analysis and total-body PET promise greater reproducibility and efficiency, further integrating flow assessment into everyday practice. Professional society guidelines now recommend routine incorporation of flow quantification into stress PET imaging, yet barriers remain, including limited access, heterogeneity in protocols, and a need for outcome-driven trials. As technology and evidence evolve, PET-based flow quantification is positioned to become an essential tool in precision cardiovascular care, bridging the gap between physiology and clinical decision-making.</div></div>","PeriodicalId":21156,"journal":{"name":"Progress in cardiovascular diseases","volume":"93 ","pages":"Pages 10-20"},"PeriodicalIF":7.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145226572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}