Evidence map›Paper›PMID 30788253›Full record

ReviewQuantitative imaging in medicine and surgery2019

Virtual museum of congenital heart defects: digitization and establishment of a database for cardiac specimens.

Laszlo Kiraly, Balint Kiraly, Krisztian Szigeti, Csaba Zsolt Tamas, Sandor Daranyi

Open access · diamondAbstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

9 citing papers in PubMed, 29 citations in OpenAlex.

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  5. Review
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  7. Insights into 3D printing in medical applications.Quantitative imaging in medicine and surgery · 2019
    Article
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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 at 4 institutions in 3 countries.

Laszlo KiralyCardiac Sciences, Sheikh Khalifa Medical City, Abu Dhabi.
Balint KiralyDepartment of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
Krisztian SzigetiDepartment of Biophysics and Radiation Biology, Semmelweis University, Budapest, Hungary.
Csaba Zsolt TamasGottsegen Hungarian Institute of Cardiology, Budapest, Hungary.
Sandor DaranyiSwedish School of Library and Information Science, University of Borås, Borås, Sweden.
Semmelweis University · HUGottsegen National Cardiovascular Center · HUShaikh Khalifa Medical City · AEUniversity of Borås · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Education and training of morphology for medical students, and professionals specializing in pediatric cardiology and surgery has traditionally been based on hands-on encounter with congenitally malformed cardiac specimens. Large international archives are no longer widely available due to stricter data protection rules, a reduced number of autopsies, attrition rate of existing specimens, and most importantly due to a higher survival rate of patients. Our Cardiac Archive houses about 400 cardiac specimens with congenital heart disease. The collection spans almost 60 years and thus goes back to pre-surgical era. Unfortunately, attrition rate due to desiccation has led to an increased natural decay in recent years. The present multi-institutional project focuses on saving the collection by digitization. Specimens are scanned by high-resolution micro-CT/MRI. Virtual 3D-models are segmented and a comprehensive database is built. We now report an initial feasibility study with six test specimens that provided promising results, however, adequate presentation of the intracardiac anatomy, including septa and cardiac valves requires further refinements. Computer assisted design methods are necessary to overcome consequences of pathological examination, shrinkage and/or distortion of the specimens. For a next step, we anticipate an expandable web-based virtual museum with interactive reference and training tools. Web access for professional third parties will be provided by registration/subscription. In a future phase, segmental wall motion data could be added to virtual models. 3D-printed models may replace actual specimens and serve as hands-on surgical training to elucidate complex morphologies, promote surgical emulation, and extract more accurate procedural knowledge based on such a collection.

Indexed as

anatomicCongenital abnormalitiesimaging, three-dimensionalinteractive learningmodelsmultimodal imaging

Identifiers

PMID30788253
PMCPMC6351808
OpenAlexW2907953974

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.