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Perfusion Imaging

Diagnostics and Medical Technology · NLM MeSH · updated 2026-11-04 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 5 min read

The creation and display of functional images showing where the blood flow reaches by following the distribution of tracers injected into the blood stream.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (958 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

The creation and display of functional images showing where the blood flow reaches by following the distribution of tracers injected into the blood stream.

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Imaging, Perfusion; Perfusion Imagings; Perfusion Scintigraphy; Scintigraphy, Perfusion.

Where it fits in the MeSH classification

Broader topics
Radionuclide Imaging
Narrower topics
Myocardial Perfusion Imaging

Research landscape

PubMed indexes 10,106 records tagged with the MeSH heading “Perfusion Imaging” (counts retrieved 2026-11-04). 3,157 of them (31.2%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 6,692 records.

Reviews account for 1,124 records (11.1%) and meta-analyses for 107. Randomized controlled trials number 294 (2.9%) as a share of all records on the topic.

PubMed records by publication periodthrough 1999: 0 records; 2000-2009: 643 records; 2010-2019: 6,692 records; 2020 onward: 3,157 records0through 19996432000-20096,6922010-20193,1572020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19990
2000-2009643
2010-20196,692
2020 onward3,157
Share of records by publication typeReviews: 11.1 percent; Meta-analyses: 1.1 percent; Randomized controlled trials: 2.9 percentReviews11.1% (1,124)Meta-analyses1.1% (107)Randomized controlled trials2.9% (294)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 10,106 PubMed records
TypeRecordsShare
Reviews1,12411.1%
Meta-analyses1071.1%
Randomized controlled trials2942.9%

Method: PubMed query "Perfusion Imaging"[MeSH Terms] with publication-type and date filters, retrieved 2026-11-04.

Reading the evidence in diagnostics and medical technology

A test or device is judged by how well it detects a condition, how often it gives false alarms or misses cases, and whether using it improves outcomes for people. Accuracy depends on who is tested and how common the condition is, so a test that performs well in a specialist hospital can perform differently in the community. Check the reference standard, the population studied, the sensitivity and specificity and whether results were confirmed in a separate group.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Dynamic myocardial CT perfusion imaging-state of the art
Sliwicka O, Sechopoulos I, Baggiano A, Pontone G, Nijveldt R, Habets J
2023Review article
Design not recorded in structured metadata
33cc by
PMID 36997751 · DOI · PMC10326111
Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging
Chiribiri A, Arai AE, DiBella E, Hsu LY, Ishida M, Jerosch-Herold M, et al.
2025Review article
Design not recorded in structured metadata
18cc by
PMID 40784605 · DOI · PMC12766621
Triglyceride-glucose index is associated with myocardial ischemia and poor prognosis in patients with ischemia and no obstructive coronary artery disease
Zhang W, Liu L, Yin G, Mohammed AQ, Xiang L, Lv X, et al.
2024Research article
Design not recorded in structured metadata
17cc by
PMID 38822373 · DOI · PMC11140859
CT perfusion-guided thrombolysis in the extended window: from trial eligibility to individualized patient selection
Hao Q, Ryan D, Ikramuddin S
2026Review article
Design not recorded in structured metadata
0cc by
PMID 42813025 · DOI · PMC13621568

Dynamic myocardial CT perfusion imaging-state of the art [1]

Review article Sliwicka O, Sechopoulos I, Baggiano A, Pontone G, Nijveldt R, Habets J · · 2023 · cited 33 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
In patients with suspected coronary artery disease (CAD), dynamic myocardial computed tomography perfusion (CTP) imaging combined with coronary CT angiography (CTA) has become a comprehensive diagnostic examination technique resulting in both anatomical and quantitative functional information on myocardial blood flow, and the presence and grading of stenosis.
Closing excerpt
• Dynamic CTP accompanied by coronary CTA may serve as a gatekeeper for invasive workup and can guide treatment in obstructive coronary artery disease.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (222 words)

In patients with suspected coronary artery disease (CAD), dynamic myocardial computed tomography perfusion (CTP) imaging combined with coronary CT angiography (CTA) has become a comprehensive diagnostic examination technique resulting in both anatomical and quantitative functional information on myocardial blood flow, and the presence and grading of stenosis. Recently, CTP imaging has been proven to have good diagnostic accuracy for detecting myocardial ischemia, comparable to stress magnetic resonance imaging and positron emission tomography perfusion, while being superior to single photon emission computed tomography. Dynamic CTP accompanied by coronary CTA can serve as a gatekeeper for invasive workup, as it reduces unnecessary diagnostic invasive coronary angiography. Dynamic CTP also has good prognostic value for the prediction of major adverse cardiovascular events. In this article, we will provide an overview of dynamic CTP, including the basics of coronary blood flow physiology, applications and technical aspects including protocols, image acquisition and reconstruction, future perspectives, and scientific challenges. KEY POINTS: • Stress dynamic myocardial CT perfusion combined with coronary CTA is a comprehensive diagnostic examination technique resulting in both anatomical and quantitative functional information. • Dynamic CTP imaging has good diagnostic accuracy for detecting myocardial ischemia comparable to stress MRI and PET perfusion. • Dynamic CTP accompanied by coronary CTA may serve as a gatekeeper for invasive workup and can guide treatment in obstructive coronary artery disease.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 36997751 · DOI · PMC10326111

Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging [2]

Review article Chiribiri A, Arai AE, DiBella E, Hsu LY, Ishida M, Jerosch-Herold M, et al. · · 2025 · cited 18 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Myocardial perfusion imaging plays a central role in the management of patients with known or suspected coronary artery disease (CAD) and increasingly in patients with suspected ischemia with normal coronary arteries (INOCA) as well as anomalous origins of the coronary arteries and Kawasaki disease.
Closing excerpt
This paper also discusses research and development goals to address current limitations, to ensure data reliability and validity, to create the basis for future multi-vendor and multicenter research, and to broaden the clinical use of quantitative perfusion CMR.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (233 words)

Myocardial perfusion imaging plays a central role in the management of patients with known or suspected coronary artery disease (CAD) and increasingly in patients with suspected ischemia with normal coronary arteries (INOCA) as well as anomalous origins of the coronary arteries and Kawasaki disease. Stress perfusion cardiovascular magnetic resonance (CMR) is recognized by international guidelines, with several Class 1 indications for the detection of abnormal myocardial blood flow in these clinical scenarios and offers excellent diagnostic accuracy and independent prognostic value. While visual interpretation of the perfusion data is the prevailing analysis method in clinical practice, quantitative perfusion CMR is at least as accurate for the detection of significant obstructive CAD and provides a more accurate estimation of the total ischemic burden in patients with CAD. Moreover, quantitative myocardial perfusion analysis provides unique insights into the pathophysiology of myocardial ischemia, including microvascular disease in INOCA. Quantitative perfusion CMR can be fully automated, is user-independent, and may facilitate more widespread use of the modality. The aim of this Society for Cardiovascular Magnetic Resonance (SCMR) expert consensus document is to provide recommendations for the acquisition and analysis of quantitative myocardial perfusion CMR to facilitate standardization of methodology. This paper also discusses research and development goals to address current limitations, to ensure data reliability and validity, to create the basis for future multi-vendor and multicenter research, and to broaden the clinical use of quantitative perfusion CMR.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 40784605 · DOI · PMC12766621

Triglyceride-glucose index is associated with myocardial ischemia and poor prognosis in patients with ischemia and no obstructive coronary artery disease [3]

Research article Zhang W, Liu L, Yin G, Mohammed AQ, Xiang L, Lv X, et al. · · 2024 · cited 17 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundIschemia and no obstructive coronary artery disease (INOCA) is increasingly recognized and associated with poor outcomes.
Closing excerpt
ConclusionThis study indicates for the first time that the TyG index is significantly associated with myocardial ischemia and poor prognosis among INOCA patients.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (291 words)

BackgroundIschemia and no obstructive coronary artery disease (INOCA) is increasingly recognized and associated with poor outcomes. The triglyceride-glucose (TyG) index is a reliable alternative measure of insulin resistance significantly linked to cardiovascular disease and adverse prognosis. We investigated the association between the TyG index and myocardial ischemia and the prognosis in INOCA patients.MethodsINOCA patients who underwent both coronary angiography and myocardial perfusion imaging (MPI) were included consecutively. All participants were divided into three groups according to TyG tertiles (T1, T2, and T3). Abnormal MPI for myocardial ischemia in individual coronary territories was defined as summed stress score (SSS) ≥ 4 and summed difference score (SDS) ≥ 2. SSS refers to the sum of all defects in the stress images, and SDS is the difference of the sum of all defects between the rest images and stress images. All patients were followed up for major adverse cardiac events (MACE).ResultsAmong 332 INOCA patients, 113 (34.0%) had abnormal MPI. Patients with higher TyG index had a higher rate of abnormal MPI (25.5% vs. 32.4% vs. 44.1%; p = 0.012). Multivariate logistic analysis showed that a high TyG index was significantly correlated with abnormal MPI in INOCA patients (OR, 1.901; 95% CI, 1.045-3.458; P = 0.035). During the median 35 months of follow-up, 83 (25%) MACE were recorded, and a higher incidence of MACE was observed in the T3 group (T3 vs. T2 vs. T1: 36.9% vs. 21.6% vs. 16.4%, respectively; p = 0.001). In multivariate Cox regression analysis, the T3 group was significantly associated with the risk of MACE compared to the T1 group (HR, 2.338; 95% CI 1.253-4.364, P = 0.008).ConclusionThis study indicates for the first time that the TyG index is significantly associated with myocardial ischemia and poor prognosis among INOCA patients.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 38822373 · DOI · PMC11140859

CT perfusion-guided thrombolysis in the extended window: from trial eligibility to individualized patient selection [4]

Review article Hao Q, Ryan D, Ikramuddin S · · 2026

Abstract reading summary — source excerpts
Opening excerpt
Recent randomized controlled trials (RCTs) have expanded the role of intravenous thrombolysis (IVT) into the extended time window (beyond 4.
Closing excerpt
Herein, we aim to leverage the best available evidence to address these critical questions that vascular neurologists face as we work toward the clinical implementation of this trial evidence.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (212 words)

Recent randomized controlled trials (RCTs) have expanded the role of intravenous thrombolysis (IVT) into the extended time window (beyond 4.5 h) using CT perfusion (CTP)-based patient selection. Following the inclusion of extended-window thrombolysis into the most recent edition of the American Heart Association Acute Ischemic Stroke Guidelines in 2026, these recently completed studies, EXTEND, HOPE, TRACE III, and OPTION, collectively must now inform the rapid clinical implementation of this treatment as we enter an age of precision medicine in the management of acute stroke. This mini-review seeks to address three core implementation challenges for patient selection when considering extended-window thrombolysis: (1) efforts to establish clinical pathways for patient selection should consider the phenotype of patients enrolled in extended-window thrombolysis RCTs in addition to enrollment criteria, (2) assessments of the safety of extended-window thrombolysis based on the best available evidence are reassuring, and (3) promising results from extended-window thrombolysis trials for distal and medium vessel occlusion (DMeVO) stroke patients, in concert with recent neutral endovascular therapy (EVT) trials for treating DMeVO stroke, have carved out a distinct role for IVT in this patient population. Herein, we aim to leverage the best available evidence to address these critical questions that vascular neurologists face as we work toward the clinical implementation of this trial evidence.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42813025 · DOI · PMC13621568

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation [5]
    Dorbala S, Ananthasubramaniam K, Armstrong IS, Chareonthaitawee P, DePuey EG, Einstein AJ, et al. · J Nucl Cardiol · 2018 · cited 285 times (Europe PMC)
  • Research article Review of Perfusion Imaging in Acute Ischemic Stroke: From Time to Tissue [6]
    Demeestere J, Wouters A, Christensen S, Lemmens R, Lansberg MG · Stroke · 2020 · cited 218 times (Europe PMC)
  • Research article Myocardial Perfusion PET for the Detection and Reporting of Coronary Microvascular Dysfunction: A JACC: Cardiovascular Imaging Expert Panel Statement [7]
    Schindler TH, Fearon WF, Pelletier-Galarneau M, Ambrosio G, Sechtem U, Ruddy TD, et al. · JACC Cardiovasc Imaging · 2023 · cited 168 times (Europe PMC)
  • Research article Coronary Microvascular Dysfunction: Clinical Considerations and Noninvasive Diagnosis [8]
    Schindler TH, Dilsizian V · JACC Cardiovasc Imaging · 2020 · cited 145 times (Europe PMC)
  • Research article Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC [9]
    Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, et al. · J Nucl Cardiol · 2018 · cited 141 times (Europe PMC)
  • Research article Static and dynamic assessment of myocardial perfusion by computed tomography [10]
    Danad I, Szymonifka J, Schulman-Marcus J, Min JK · Eur Heart J Cardiovasc Imaging · 2016 · cited 110 times (Europe PMC)

References

  1. Sliwicka O, Sechopoulos I, Baggiano A, Pontone G, Nijveldt R, Habets J. Dynamic myocardial CT perfusion imaging-state of the art. . 2023. PMID 36997751 · DOI · PMC10326111
  2. Chiribiri A, Arai AE, DiBella E, Hsu LY, Ishida M, Jerosch-Herold M, et al.. Society for cardiovascular magnetic resonance expert consensus statement on quantitative myocardial perfusion cardiovascular magnetic resonance imaging. . 2025. PMID 40784605 · DOI · PMC12766621
  3. Zhang W, Liu L, Yin G, Mohammed AQ, Xiang L, Lv X, et al.. Triglyceride-glucose index is associated with myocardial ischemia and poor prognosis in patients with ischemia and no obstructive coronary artery disease. . 2024. PMID 38822373 · DOI · PMC11140859
  4. Hao Q, Ryan D, Ikramuddin S. CT perfusion-guided thrombolysis in the extended window: from trial eligibility to individualized patient selection. . 2026. PMID 42813025 · DOI · PMC13621568
  5. Dorbala S, Ananthasubramaniam K, Armstrong IS, Chareonthaitawee P, DePuey EG, Einstein AJ, et al.. Single Photon Emission Computed Tomography (SPECT) Myocardial Perfusion Imaging Guidelines: Instrumentation, Acquisition, Processing, and Interpretation. J Nucl Cardiol. 2018. PMID 29802599 · DOI
  6. Demeestere J, Wouters A, Christensen S, Lemmens R, Lansberg MG. Review of Perfusion Imaging in Acute Ischemic Stroke: From Time to Tissue. Stroke. 2020. PMID 32008460 · DOI
  7. Schindler TH, Fearon WF, Pelletier-Galarneau M, Ambrosio G, Sechtem U, Ruddy TD, et al.. Myocardial Perfusion PET for the Detection and Reporting of Coronary Microvascular Dysfunction: A JACC: Cardiovascular Imaging Expert Panel Statement. JACC Cardiovasc Imaging. 2023. PMID 36881418 · DOI
  8. Schindler TH, Dilsizian V. Coronary Microvascular Dysfunction: Clinical Considerations and Noninvasive Diagnosis. JACC Cardiovasc Imaging. 2020. PMID 30982670 · DOI
  9. Murthy VL, Bateman TM, Beanlands RS, Berman DS, Borges-Neto S, Chareonthaitawee P, et al.. Clinical Quantification of Myocardial Blood Flow Using PET: Joint Position Paper of the SNMMI Cardiovascular Council and the ASNC. J Nucl Cardiol. 2018. PMID 29243073 · DOI
  10. Danad I, Szymonifka J, Schulman-Marcus J, Min JK. Static and dynamic assessment of myocardial perfusion by computed tomography. Eur Heart J Cardiovasc Imaging. 2016. PMID 27013250 · DOI · PMC4955293

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-11-04; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-11-04.

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Related research topics

  • Myocardial Perfusion ImagingDiagnostics and Medical Technology
  • Radionuclide ImagingDiagnostics and Medical Technology
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All 110 articles in Diagnostics and Medical Technology →

At a glance

10,106
PubMed records on this heading
31%
published since 2020
1,124
review articles
294
randomized trials
10
verified references below

Counts come from PubMed on 2026-11-04; they show how much has been written, not how strong the evidence is.

Related topics See all →

  • Myocardial Perfusion ImagingDiagnostics and Medical Technology
  • Radionuclide ImagingDiagnostics and Medical Technology
  • Positron-Emission TomographyDiagnostics and Medical Technology
  • Radionuclide AngiographyDiagnostics and Medical Technology
  • Radionuclide VentriculographyDiagnostics and Medical Technology

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