Evidence map›Paper›PMID 34176031›Full record

ArticleThe international journal of cardiovascular imaging2021

Incremental improvement of diagnostic performance of coronary CT angiography for the assessment of coronary stenosis in the presence of calcium using a dual-layer spectral detector CT: validation by invasive coronary angiography.

Cheng Xu, Yan Yi, Yechen Han, Hongzhi Xie, Xiaomei Lu, Mani Vembar, Tim Leiner, Zhengyu Jin, Yining Wang

Abstract read
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In one paragraph

Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Observational
  4. Review
  5. Review
  6. Increased 2020 impact factor for Int Journal Cardiovascular Imaging: 2.357.The international journal of cardiovascular imaging · 2021
    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.

Cheng Xu *Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Yan Yi *Department of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Yechen HanDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Hongzhi XieDepartment of Cardiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaomei LuClinical Science, Philips Healthcare, Beijing, China.
Mani VembarCT Clinical Science, Philips Healthcare, Cleveland, OH, USA.
Tim LeinerDepartment of Radiology, University Medical Center of Utrecht, Utrecht, The Netherlands.
Zhengyu JinDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China.
Yining WangDepartment of Radiology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College , No.1, Shuaifuyuan, Dongcheng District, Beijing, 100730, China. wangyining@pumch.cn.ORCID http://orcid.org/0000-0003-0960-6212

Funding

National Natural Science Foundation of China 81873891the "13th Five-Year Plan" National key R & D projects of China 2016YFC1300402; 2016YFC1300400the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences 2018RC320004
6 · The paper itself

Abstract

To investigate value of spectral reconstructions for the quantification of coronary stenosis in the presence of calcified or partially calcified plaques using a dual-layer spectral detector CT (SDCT). Seventy-two consecutive patients were retrospectively enrolled. Conventional 120 kVp images, eight virtual monoenergetic images (VMI) (70 to 140 keV), the effective atomic number (Z effective) and iodine no water images were reconstructed. Invasive coronary angiography was used as the reference standard. Parallel and serial testing were used to assess the incremental diagnostic value of Z effective and iodine no water images to the best VMI series. 122 coronary lesions of 72 patients (49 men and 23 women; 63.7 ± 10.2 years) were enrolled in analysis. Reconstruction at 100 keV yielded optimal diagnostic performance, the sensitivity, specificity, PPV, NPV and diagnostic accuracy to identify stenosis ≥ 50% or ≥ 70% were 84%, 70%, 80%, 76%, 79% and 78%, 98%, 93%, 91%, 92%, respectively. A serial combination (100 keV VMI followed by Z effective images) resulted in an improved specificity (from 70 to 80%) with a moderate loss of sensitivity (81% from 84%) in identifying ≥ 50% stenosis (P = 0.021). For patients with high Agatston score, this combination could further reduce false positive cases and improve diagnostic accuracy. 100 keV VMI provide optimal diagnostic performance for the detection of coronary stenosis in the presence of calcified or partially calcified plaques using a dual-layer SDCT, with further improvements obtained with the combined use of Z effective images.

Indexed as

CalciumCoronary StenosisComputed Tomography AngiographyCoronary AngiographyFemaleHumansMalePredictive Value of TestsRadiographic Image Interpretation, Computer-AssistedRetrospective StudiesSignal-To-Noise RatioTomography, X-Ray ComputedCalciumArtifactsCalciumComputed tomography angiographyCoronary artery diseaseCoronary stenosis

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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.