Evidence map›Paper›PMID 32006167›Full record

ArticleEuropean radiology2020

The influence of image quality on diagnostic performance of a machine learning-based fractional flow reserve derived from coronary CT angiography.

Peng Peng Xu, Jian Hua Li, Fan Zhou, Meng Di Jiang, Chang Sheng Zhou, Meng Jie Lu, Chun Xiang Tang, Xiao Lei Zhang, Liu Yang, Yuan Xiu Zhang and 14 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
–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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. Article
  20. Review
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

24 authors.

Peng Peng XuDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Jian Hua LiDepartment of Cardiology, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Fan ZhouDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Meng Di JiangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Chang Sheng ZhouDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Meng Jie LuDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Chun Xiang TangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Xiao Lei ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Liu YangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Yuan Xiu ZhangLaboratory of Image Science and Technology, School of Computer Science and Engineering, Southeast University, Nanjing, 210096, Jiangsu, China.
Yi Ning WangDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Jia Yin ZhangInstitute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Meng Meng YuInstitute of Diagnostic and Interventional Radiology and Department of Cardiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, Shanghai, 200233, China.
Yang HouDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, 110001, China.
Min Wen ZhengDepartment of Radiology, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Bo ZhangDepartment of Radiology, Jiangsu Taizhou People's Hospital, Taizhou, 225300, China.
Dai Min ZhangDepartment of Cardiology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210006, Jiangsu, China.
Yan YiDepartment of Radiology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100730, China.
Lei XuDepartment of Radiology, Beijing Anzhen Hospital, Capital Medical University, Beijing, 10029, China.
Xiu Hua HuSir Run Run Shaw Hospital, Zhejiang University, Zhejiang, 310016, Hangzhou, China.
Hui LiuDepartment of Radiology, Guangdong Provincial People's Hospital, Guangzhou, 510030, China.
Guang Ming LuDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
Qian Qian NiDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China. nqqnjumed@hotmail.com.
Long Jiang ZhangDepartment of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China. kevinzhlj@163.com.ORCID http://orcid.org/0000-0002-6664-7224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the effect of image quality of coronary CT angiography (CCTA) on the diagnostic performance of a machine learning-based CT-derived fractional flow reserve (FFR

methodsThis nationwide retrospective study enrolled participants from 10 individual centers across China. FFR

resultsAmong 570 vessels, 216 were considered ischemia-specific by invasive FFR and 198 by FFR

conclusionsThis retrospective multicenter study supported the FFR KEY POINTS: • FFR

Indexed as

Machine LearningAgedComputed Tomography AngiographyCoronary AngiographyCoronary StenosisFemaleFractional Flow Reserve, MyocardialHumansMaleMiddle AgedReproducibility of ResultsRetrospective StudiesComputed tomography angiographyData accuracyFractional flow reserveHeart rateQuality control

Identifiers

PMID32006167

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.