Evidence map›Paper›PMID 37408984›Full record

ArticleJournal of medical imaging (Bellingham, Wash.)2023

Jeffrey F Marsh, Patrick D VanMeter, Kishore Rajendran, Shuai Leng, Cynthia H McCollough

Abstract read
In one paragraph

Article in Journal of medical imaging (Bellingham, Wash.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Framework for evaluating photon-counting detectors under pile-up conditions.Journal of medical imaging (Bellingham, Wash.) · 2024
    Article
  4. Review
  5. Review
  6. Article
  7. Review
  8. 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

5 authors.

Jeffrey F MarshMayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
Patrick D VanMeterMayo Clinic, Department of Radiology, Rochester, Minnesota, United States.
Kishore RajendranMayo Clinic, Department of Radiology, Rochester, Minnesota, United States.ORCID https://orcid.org/0000-0002-8314-3642
Shuai LengMayo Clinic, Department of Radiology, Rochester, Minnesota, United States.ORCID https://orcid.org/0000-0002-6453-9481
Cynthia H McColloughMayo Clinic, Department of Radiology, Rochester, Minnesota, United States.ORCID https://orcid.org/0000-0002-5346-332X

Funding

Comprehensive characterization of coronary atherosclerotic disease using photon-counting-detector dual-source CT and its impact on patient managementR01EB028590 · NIBIB · MAYO CLINIC ROCHESTER · PI LENG, SHUAI, MCCOLLOUGH, CYNTHIA H · 2020 to 2023
$2.6M
NIBIB NIH HHS R01 EB028590
6 · The paper itself

Abstract

Purpose: Coronary artery calcification (CAC) is an important indicator of coronary disease. Accurate volume quantification of CAC is challenging using computed tomography (CT) due to calcium blooming, which is a consequence of limited spatial resolution. Approach: CAC specimens ( Results: Compared with micro-CT, CT volume estimates had a mean absolute percent error of Conclusions: UHR clinical PCD-CT showed reduced calcium blooming artifacts and further enabled improved accuracy of CAC quantification beyond that of conventional EID-CT and previous generation PCD-CT systems.

Indexed as

calcium quantificationcoronary artery diseasecoronary calcificationsimage domain denoisingphoton counting detector computed tomography

Identifiers

PMID37408984
PMCPMC10319293

What Socratic 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 Socratic graph.