Evidence map›Paper›PMID 36399289›Full record

ArticleInsights into imaging2022

Inter-observer agreement and image quality of model-based algorithm applied to the Coronary Artery Disease-Reporting and Data System score.

Davide Ippolito, Cammillo Talei Franzesi, Cecilia Cangiotti, Luca Riva, Andrea De Vito, Davide Gandola, Cesare Maino, Paolo Marra, Giuseppe Muscogiuri, Sandro Sironi

Abstract read
In one paragraph

Article in Insights into imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. CAD-RADS: A Standardized Reporting System for Coronary CT Angiography.Journal of the Korean Society of Radiology · 2026
    Review
  2. Article
  3. Moving towards a uniform diagnosis of coronary artery disease on coronary CTA : Coronary Artery Disease-Reporting and Data System 2.0.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2024
    Review
  4. 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

10 authors.

Davide IppolitoDepartment of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy. davide.ippolito@unimib.it.ORCID http://orcid.org/0000-0002-2696-7047
Cammillo Talei FranzesiDepartment of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy.
Cecilia CangiottiDepartment of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy.
Luca RivaDepartment of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy.
Andrea De VitoDepartment of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy.
Davide GandolaDepartment of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy.
Cesare MainoDepartment of Diagnostic Radiology, San Gerardo Hospital, Via Pergolesi 33, 20900, Monza, MB, Italy.
Paolo MarraDepartment of Diagnostic Radiology, H Papa Giovanni XXIII, Piazza OMS 1, 24127, Bergamo, BG, Italy.
Giuseppe MuscogiuriSchool of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900, Monza, MB, Italy.
Sandro SironiSchool of Medicine, University of Milano-Bicocca, Via Cadore 48, 20900, Monza, MB, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the inter-observer agreement of the CAD-RADS reporting system and compare image quality between model-based iterative reconstruction algorithm (MBIR) and standard iterative reconstruction algorithm (IR) of low-dose cardiac computed tomography angiography (CCTA).

methodsOne-hundred-sixty patients undergone a 256-slice MDCT scanner using low-dose CCTA combined with prospective ECG-gated techniques were enrolled. CCTA protocols were reconstructed with both MBIR and IR. Each study was evaluated by two readers using the CAD-RADS lexicon. Vessels enhancement, image noise, signal-to-noise (SNR), and contrast-to-noise (CNR) were computed in the axial native images, and inter-observer agreement was assessed. Radiation dose exposure as dose-length product (DLP) and effective dose were finally reported.

resultsThe reliability analysis between the two readers was almost perfect for all CAD-RADS standard categories. Moreover, a significantly higher value of subjective qualitative analysis, SNR, and CNR in MBIR images compared to IR were found, due to a lower noise level (all p < 0.05). The mean DLP measured was 63.9 mGy*cm, and the mean effective dose was 0.9 mSv.

conclusionInter-observer agreement of CAD-RADS was excellent confirming the importance, the feasibility, and the reproducibility of the CAD-RADS scoring system for CCTA. Moreover, lower noise and higher image quality with MBIR compared to IR were found. IMPLICATIONS FOR PRACTICE: MBIR, by reducing noise and improving image quality, can help a better assessment of CAD-RADS, in comparison with standard IR algorithm.

Indexed as

Cardiac computed tomography angiographyCoronary artery diseaseCoronary Artery Disease-Reporting and Data SystemModel-based iterative reconstruction algorithmRadiation exposure

Identifiers

PMID36399289
PMCPMC9674810

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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.