Evidence map›Paper›PMID 35991672›Full record

ArticleFrontiers in medicine2022

Cinematic rendering in rheumatic diseases-Photorealistic depiction of pathologies improves disease understanding for patients.

Milena L Pachowsky, Harriet Morf, David Simon, Verena Schönau, Larissa Valor-Mendez, Johannes Knitza, Filippo Fagni, Klaus Engel, Michael Uder, Axel Hueber and 3 more

Abstract read
In one paragraph

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Cinematic rendering of [European journal of nuclear medicine and molecular imaging · 2024
    Article
  4. 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

13 authors.

Milena L PachowskyDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Harriet MorfDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
David SimonDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Verena SchönauDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Larissa Valor-MendezDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Johannes KnitzaDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Filippo FagniDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Klaus EngelSiemens Healthineers, Erlangen, Germany.
Michael UderInstitute of Radiology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Axel HueberDeutsches Zentrum Immuntherapie, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Christian SchmidkonzDepartment of Nuclear Medicine, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Georg SchettDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.
Arnd KleyerDepartment of Internal Medicine 3 - Rheumatology and Immunology, Friedrich-Alexander Universität Erlangen-Nürnberg and Universitätsklinikum Erlangen, Erlangen, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patient education is crucial for successful chronic disease management. Current education material for rheumatic patients however rarely includes images of disease pathologies, limiting patients' disease understanding. Cinematic rendering (CR) is a new tool that allows segmentation of standard medical images (DICOMs) into pictures that illustrate disease pathologies in a photorealistic way. Thus CR has the potential to simplify and improve the explanation of disease pathologies, disease activity and disease consequences and could therefore be a valuable tool to effectively educate and inform patients about their rheumatic and musculoskeletal disease (RMD). Objectives: To examine the feasibility of creating photorealistic images using CR from RMD patients depicting typical rheumatic disease pathologies and, in a second step to investigate the patient-perceived educational potential of these photorealistic images in clinical routine. Methods: We selected conventional, high-resolution (HR) and positron emission tomography (PET) computed tomography (CT) images of patients with rheumatoid arthritis (RA), psoriatic arthritis (PsA), axial spondyloarthritis (axSpA), and giant cell arteritis (GCA) that showed typical respective disease pathologies. These images were segmented using CR technique. In a prospective study, physicians used CR-enhanced and conventional original images to explain the depicted pathognomonic pathologies to patients with the respective rheumatic disease. Patients were then asked to complete a questionnaire evaluating the perceived usefulness of being presented with CR-enhanced images to better understand their underlying disease. Results: CR images were successfully generated from above mentioned CT methods. Pathologies such as bone erosions, bony spurs, bone loss, ankylosis, and PET-based inflammation could be visualized in photorealistic detail. A total of 79 patients (61% females) with rheumatic diseases (RA 29%, PsA 29%, axSpA 24%, GCA 18%) were interviewed and answered the quantitative questionnaire. Mean age was 55.4 ± 12.6 years. Irrespective of disease, all patients agreed or highly agreed that CR-based images help to improve disease understanding, should be shown at disease onset, provide a rationale to regularly take medication and would like to have access to their own CR-enhanced images. Conclusion: Conventional disease images can successfully be turned into photorealistic disease depictions using CR. Patients perceived CR images as a valuable addition to current patient education, enabling personalized disease education and potentially increased medication adherence.

Indexed as

axial spondyloarthritis (axSpA)cinematic rendering (CR)giant cell arteriitis (GCA)imagingphotorealisticpsoriatic arthritis (PsA)rheumatic and musculoskeletal diseases (RMDs)rheumatoid arthritis (RA)

Identifiers

PMID35991672
PMCPMC9387553

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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.