Evidence map›Paper›PMID 33000410›Full record

ArticleJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology2022

Diagnostic utility of fusion

Mana Okune, Masakazu Yasuda, Naoko Soejima, Yoshinori Kagioka, Kazuyoshi Kakehi, Takayuki Kawamura, Kohei Hanaoka, Hayato Kaida, Kazunari Ishii, Gaku Nakazawa and 2 more

Abstract read
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In one paragraph

Article in Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. Exploring the latest advances inAmerican journal of nuclear medicine and molecular imaging · 2024
    Review
  5. Motion correction for diagnosis of cardiac sarcoidosis-do we have all the answers?Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  6. Impact of respiratory gating and ECG gating onJournal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Article
  7. Review of cardiovascular imaging in the Journal of Nuclear Cardiology 2022: positron emission tomography, computed tomography, and magnetic resonance.Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2023
    Review
  8. [Hybrid PET/MRI for inflammatory cardiomyopathy].Radiologie (Heidelberg, Germany) · 2022
    Review
  9. Journal of nuclear cardiology : official publication of the American Society of Nuclear Cardiology · 2022
    Article
  10. Article
  11. Review
4 · The record

Corrections and comments

  • Commented on by
    2022
5 · Who and what money

Authors and funding

12 authors at 1 institution in 1 country.

Mana Okune *Division of Cardiology, Department of Internal Medicine, Kindai University Faculty of Medicine, Osakasayama, Japan.
Masakazu Yasuda *Division of Cardiology, Department of Internal Medicine, Kindai University Faculty of Medicine, Osakasayama, Japan.
Naoko SoejimaDivision of Cardiology, Department of Internal Medicine, Kindai University Faculty of Medicine, Osakasayama, Japan.
Yoshinori KagiokaDivision of Cardiology, Osaka Pref. Saiseikai Tondabayashi Hospital, Tondabayashi, Japan.
Kazuyoshi KakehiDivision of Cardiology, Department of Internal Medicine, Kindai University Faculty of Medicine, Osakasayama, Japan.
Takayuki KawamuraDivision of Cardiology, Department of Internal Medicine, Kindai University Faculty of Medicine, Osakasayama, Japan.
Kohei HanaokaDivision of Positron Emission Tomography, Institute of Advanced Clinical Medicine, Kindai University, Osakasayama, Japan.
Hayato KaidaDepartments of Radiology, Kindai University Faculty of Medicine, Osakasayama, Japan.
Kazunari IshiiDepartments of Radiology, Kindai University Faculty of Medicine, Osakasayama, Japan.
Gaku NakazawaDivision of Cardiology, Department of Internal Medicine, Kindai University Faculty of Medicine, Osakasayama, Japan.
Shunichi MiyazakiDivision of Cardiology, Osaka Pref. Saiseikai Tondabayashi Hospital, Tondabayashi, Japan.
Yoshitaka IwanagaDivision of Cardiology, Department of Internal Medicine, Kindai University Faculty of Medicine, Osakasayama, Japan. yiwanaga@kuhp.kyoto-u.ac.jp.
Kindai University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough each

methodsActive CS, diagnosed by PET alone, was defined as focal or focal on diffuse FDG uptake pattern. In fusion PET/CMR imaging, using a regional analysis with AHA 17-segment model, the patients were categorized into four groups: (1) PET-/LGE-, (2) PET+/LGE-, (3) PET+/LGE+, and (4) PET-/LGE+. PET+/LGE+ was defined as active CS.

results74 Patients with suspected CS were enrolled. Between PET alone and fusion PET/CMR imaging, 20 cases had mismatch evaluations of active CS, and most had diffuse or focal on diffuse FDG uptake pattern on PET alone imaging. 40 Patients fulfilled the 2016 the Japanese Circulation Society diagnostic criteria for CS. The interobserver diagnostic agreement was excellent (κ statistics 0.89) and the overall accuracy for diagnosing CS was 87.8% in fusion PET/CMR imaging, which were superior to those in PET alone imaging (0.57 and 82.4%, respectively). In a sub-analysis of diffuse and focal on diffuse patterns, the agreement (κ statistics 0.86) and overall accuracy (81.8%) in fusion PET/CMR imaging were still better.

conclusionsFusion PET/CMR imaging with regional analysis offered reliable and accurate diagnosis of CS, covering low diagnostic area by FDG-PET alone.

Indexed as

CardiomyopathiesMyocarditisSarcoidosisContrast MediaFluorodeoxyglucose F18GadoliniumHumansMagnetic Resonance ImagingPositron-Emission TomographyRadiopharmaceuticalsContrast MediaFluorodeoxyglucose F18GadoliniumRadiopharmaceuticalscardiac magnetic resonanceCardiac sarcoidosisfusion imagingpositron emission tomography

Identifiers

PMID33000410
OpenAlexW3091651780

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.