Purpose: The aim of this literature review was to provide an update on the current scientific knowledge in the field of 3D virtual patient science and to identify a possible easy, smart, and affordable method to combine different file formats obtained from different digital devices.
Methods: Electronic searches of the Medline database was performed, up to May 2017, for articles dealing with the construction of a 3D virtual patient; the matching of data acquired with different digital devices (cone beam computed tomography, CBCT; face scanner, FS; intraoral scanner, IOS; and desktop scanner, DS) was considered. The inclusion of studies was based on the superimposition of at least 2 different digital sources.
Results: Twenty-five studies were selected for subsequent examination. Only 3 studies analyzed the feasibility of superimposition of 3 different types of 3D data (CBCT + FS + IOS/DS). The most frequently used matching procedure was between CBCT and FS and CBCT and IOS/DS.
Conclusion: The procedure of superimposition of data from CBCT, IOS, and FS is currently feasible and it is now possible to create a 3D "virtual patient" to better diagnose, plan the treatment, and communicate with patients.
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http://dx.doi.org/10.1097/SCS.0000000000004485 | DOI Listing |
J Clin Psychol
January 2025
Department of Clinical Psychology and Psychobiology, The Institute of Neurosciences, Universitat de Barcelona, Barcelona, Spain.
Based on the repertory grid technique, we developed Explore Your Meanings (EYME), a digital platform that helps patients explore identity values and internal conflicts using virtual reality (VR). EYME was part of a research project treating depression in young adults, including 10 weekly, 1-h sessions aimed at changing personal constructs-cognitive schemas that shape how individuals interpret reality. We present the case of Mary, a 21-year-old woman diagnosed with persistent major depressive disorder and social phobia.
View Article and Find Full Text PDFCardiooncology
January 2025
Dept of Oncology Tier 2 Canada Research Chair, University of Alberta, Alberta, Canada.
Background: With early detection and improvements in systemic and local therapies, millions of people are surviving cancer, but for some at a high cost. In some cancer types, cardiovascular disease now competes with recurrent cancer as the cause of death. Traditional care models, in which the cardiologist or oncologist assess patients individually, do not address complex cancer and cardiovascular needs.
View Article and Find Full Text PDFBMC Psychol
January 2025
Psychiatry and Behavioral Sciences Research Center, Mashhad University of Medical Sciences, Mashhad, Iran.
Background: Fear of cats as a specific phobia disorder can cause disruption in some aspects of the affected people's lives. On the other hand, due to the fact that the two approaches of metacognitive treatment and behavioral therapy methods such as virtual reality are considered common treatment methods in anxiety disorders; It seems that it is necessary to examine the two approaches based on the effectiveness, durability and cost-benefit issue to present and introduce to therapists.
Methods: The present study was a Randomized Clinical Trial study that was conducted on 28 patients with Ailurophobia.
Sci Rep
January 2025
Department of Cardiology, University of Galway, University Road, Galway, H91 TK33, Ireland.
Diffuse coronary artery disease (CAD) impacts the immediate hemodynamic and clinical outcomes of percutaneous coronary intervention (PCI). We evaluated whether the diffuse pattern of CAD derived from angiographic Quantitative flow ratio (QFR) impacts the immediate hemodynamic outcome post-PCI and the medium term predicted vessel-oriented composite endpoint (VOCE). Paired pre-procedure QFRs were assessed in 503 patients and 1022 vessels in the Multivessel TALENT (MVT) trial.
View Article and Find Full Text PDFNat Commun
January 2025
Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
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