Evidence map›Paper›PMID 41676266›Full record

ReviewAmerican journal of translational research2026

The role of nuclear imaging in detection of coronary artery disease: a comprehensive review.

Peng Zhou, Feng Wang

Abstract readReview
In one paragraph

Review in American journal of translational research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Peng ZhouNuclear Medicine, Nanjing First Hospital No. 68 Changle Road, Qinhuai District, Nanjing 210000, Jiangsu, China.
Feng WangNuclear Medicine, Nanjing First Hospital No. 68 Changle Road, Qinhuai District, Nanjing 210000, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nuclear imaging has established itself as a front-runner for the early diagnosis of coronary artery disease (CAD), owing to its non-invasive capabilities to assess myocardial perfusion, ischemia, and microvascular dysfunction. Early and accurate detection of CAD is crucial in improving patient outcomes, as timely intervention can significantly reduce the risk of major adverse cardiac events (MACE) such as heart attacks and strokes. Among the available nuclear imaging techniques, Single Photon Emission Computed Tomography (SPECT) and Positron Emission Tomography (PET) stand out as highly effective modalities. When these techniques are combined with computed tomography (CT), they offer a comprehensive evaluation of both cardiac function and anatomy, which is critical for precise diagnosis. SPECT and PET, in conjunction with CT, provide unique advantages of visualizing myocardial blood flow and identifying ischemic areas and scar tissue with high sensitivity and specificity. PET, in particular, provides superior spatial resolution and quantification of myocardial perfusion compared to SPECT, making it a preferred choice in many clinical settings. Additionally, PET provides valuable information on myocardial viability and metabolic activity, which helps clinicians make informed decisions on revascularization or other therapeutic interventions. This review aims to evaluate and compare nuclear imaging modalities - SPECT, PET, and hybrid SPECT/CT and PET/CT - for the early detection and risk stratification of coronary artery disease (CAD). Recent advancements in nuclear imaging technology have further enhanced diagnostic capabilities, for instance, improvements in hardware, software, and radiotracers have resulted in higher image quality, faster acquisition times, and lower radiation doses, contributing to better risk stratification, enabling earlier diagnosis of CAD, and facilitating personalized treatment plans, thereby reducing the incidence of MACE in high-risk populations.

Indexed as

coronary artery diseaseearly detectionNuclear imagingPETSPECT

Identifiers

PMID41676266
PMCPMC12886121

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.