Coronary artery disease imaging reporting and data system (CAD-RADS): what radiologists need to know?

Ahmed Abdel Khalek Abdel Razek, Dalia Fahmy

Abstract readReview

In one paragraph

Review in Emergency radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

0.1field-weighted citation impact, top 51% of its field

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

1 citing paper in PubMed, 1 citations in OpenAlex.

Significant Stenosis of the Brachiocephalic Trunk and Moderate Stenosis of the Left Circumflex Artery in Computed Tomography Angiography Images.Diagnostics (Basel, Switzerland) · 2022
Article

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 at 1 institution in 1 country.

Ahmed Abdel Khalek Abdel RazekDepartment of Diagnostic Radiology, Faculty of Medicine, Mansoura University, Elgomheryia street, Mansoura, 3512, Egypt.

Dalia FahmyDepartment of Diagnostic Radiology, Faculty of Medicine, Mansoura University, Elgomheryia street, Mansoura, 3512, Egypt.

Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this work is to review Coronary Artery Disease Imaging Reporting and Data System (CAD-RADS) that was designed to standardize reporting language and improve the communication of data among radiologists and clinicians. Stenotic lesions are graded into 5 grades ranging from 0 (no stenosis) to 5 (total occlusion), where the highest grade represents the final score. The expert consensus platform has added 4 special modifiers (non-diagnostic, stent, graft, and vulnerability) to aid patient management through linking these scores with decision algorithm and treatment plan. Adherence to standard imaging protocol; knowledge of normal, variant, and anomalous anatomy; and skillful evaluation of stenosis are important for proper utilization of this reporting system. Lastly, radiologists should be aware of the inherited benefits, limitations, and common pitfalls of this classification system.

Indexed as

Coronary Artery DiseaseComputed Tomography AngiographyCoronary AngiographyHumansPredictive Value of TestsRadiologistsCoronary arteriesCoronary artery computed tomographyCoronary artery diseaseCoronary artery disease reporting and data system

Identifiers

PMID34387783

DOI10.1007/s10140-021-01973-8

OpenAlexW3188885197

What OpenQuestion holds

Textmetadata

Read underepoch 390

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.