Evidence map›Paper›PMID 37289332›Full record

ArticleThe international journal of cardiovascular imaging2023

Calcium evaluation using coronary computed tomography in combination with optical coherence tomography.

Kazumasa Kurogi, Masanobu Ishii, Sou Ikebe, Ryota Kaichi, Masafumi Takae, Takayuki Mori, Soichi Komaki, Nobuyasu Yamamoto, Kenichi Tsujita

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2023. 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
1.6field-weighted citation impact, top 17% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. A Novel Cardiac Computed Tomography-Based Calcium Scoring System for Predicting the Use of Atherectomy Devices in Severely Calcified Coronary Lesions.Catheterization and cardiovascular interventions : official journal of the Society for Cardiac Angiography & Interventions · 2025
    Observational
  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

9 authors at 4 institutions in 1 country.

Kazumasa KurogiDepartment of Cardiovascular Medicine, Miyazaki Prefectural Nobeoka Hospital, Nobeoka, Japan.
Masanobu IshiiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan. mishii4@kumamoto-u.ac.jp.
Sou IkebeDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Ryota KaichiDepartment of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan.
Masafumi TakaeDepartment of Cardiovascular Medicine, Hitoyoshi Medical Center, Hitoyoshi, Japan.
Takayuki MoriDepartment of Cardiovascular Medicine, Miyazaki Prefectural Nobeoka Hospital, Nobeoka, Japan.
Soichi KomakiDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Miyazaki University, Miyazaki, Japan.
Nobuyasu YamamotoDepartment of Cardiovascular Medicine, Miyazaki Prefectural Nobeoka Hospital, Nobeoka, Japan.
Kenichi TsujitaDepartment of Cardiovascular Medicine, Graduate School of Medical Sciences, Kumamoto University, 1-1-1 Honjo, Chuo-ku, Kumamoto, 860-8556, Japan.
Kumamoto University · JPMiyazaki Prefectural Hospital · JPKyoto University · JPUniversity of Miyazaki · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical coherence tomography (OCT) can assess calcium thickness, a key factor for predicting good stent expansion; however, it underestimates coronary calcium severity due to its penetration limitation. This study aimed to evaluate computed tomography (CT) and OCT images to assess calcification. We investigated 25 left anterior descending arteries of 25 patients, using coronary CT and OCT, and assessed their calcification. Of the 25 vessels, 1811 pairs of CT and OCT cross-sectional images were co-registered. Of the 1811 cross-sectional CT images, calcification was not detectable in 256 (14.1%) of the corresponding OCT images due to limited penetration. In the 1555 OCT calcium-detectable images, the maximum calcium thickness was not detectable in 763 (49.1%) images compared to the CT images. In CT images of slices corresponding to undetected calcium in OCT images, the angle, thickness, and maximum density of calcium were significantly smaller compared to slices corresponding to detected calcium in OCT. Calcium with an undetectable maximum thickness in the corresponding OCT image had a significantly greater calcium angle, thickness, and density than calcium with a detectable maximum thickness. There was an excellent correlation between CT and OCT with respect to calcium angle ( R= 0.82, P < 0.001). The calcium thickness on the OCT image had a stronger correlation with the maximum density on the corresponding CT image (R = 0.73, P < 0.001) than with the calcium thickness on the CT image (R = 0.61, P < 0.001). Cross-sectional CT imaging allows for pre-procedural assessment of calcium morphology and severity and could complement the lack of information on calcium severity in OCT-guided percutaneous coronary intervention.

Indexed as

Coronary Artery DiseasePercutaneous Coronary InterventionVascular CalcificationCalciumCoronary AngiographyCoronary VesselsHumansPredictive Value of TestsStentsTomography, Optical CoherenceTomography, X-Ray ComputedCalciumComputed tomographyCoronary artery diseaseCoronary calcificationIntravascular imagingOptical coherence tomographyPercutaneous coronary intervention

Identifiers

PMID37289332
OpenAlexW4379769027

What OpenQuestion holds

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Registered trials

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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.