Purpose: Today's operating room is equipped with different devices supporting the surgeon. Due to the lack of common interfaces between devices, an integrated support of the surgical workflow is missing. In the field of implantation, a smooth exchange of preoperatively planned data between devices is of great interest. Additionally, the availability of standardized preoperative data would facilitate the documentation, especially with regard to Electronic Health Records.
Methods: To analyze whether DICOM Structured Reporting can be the basis for a standardized digital human- and machine-readable implantation plan, we derived all requirements for such a document. Therefore, we examined the conventional implantation plan and future applications of the digital plan.
Results: In this paper, we propose to use the mechanisms introduced by DICOM Structured Reporting as storage and communication infrastructure for implantation plans in the surgical domain. DICOM Structured Reporting complies with all requirements of our analysis. Additionally, we introduce a first draft of a standardized implantation plan structure.
Conclusions: A standardized digital implantation plan based on the DICOM Structured Report has the potential to overcome current integration problems in the OR and to facilitate new applications.
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http://dx.doi.org/10.1007/s11548-009-0375-1 | DOI Listing |
J Imaging Inform Med
January 2025
Department of Radiology, University of Pennsylvania Perelman School of Medicine, 3400 Spruce St., Philadelphia, PA, 19104, USA.
Integration of artificial intelligence (AI) into radiology practice can create opportunities to improve diagnostic accuracy, workflow efficiency, and patient outcomes. Integration demands the ability to seamlessly incorporate AI-derived measurements into radiology reports. Common data elements (CDEs) define standardized, interoperable units of information.
View Article and Find Full Text PDF3D Print Med
January 2025
Department of Pediatric Cardiology, The Heart Institute, University of Colorado, Children's Hospital Colorado, 13123 E 16th Ave B100, 80045, Aurora, CO, USA.
Background: Despite advancements in imaging technologies, including CT scans and MRI, these modalities may still fail to capture intricate details of congenital heart defects accurately. Virtual 3D models have revolutionized the field of pediatric interventional cardiology by providing clinicians with tangible representations of complex anatomical structures. We examined the feasibility and accuracy of utilizing an automated, Artificial Intelligence (AI) driven, cloud-based platform for virtual 3D visualization of complex congenital heart disease obtained from 3D rotational angiography DICOM images.
View Article and Find Full Text PDFPlast Reconstr Surg Glob Open
January 2025
From the Department of Plastic, Reconstructive and Aesthetic Surgery, Nippon Medical School Hospital, Tokyo, Japan.
Background: Soft tissue defects on the palm side of the thumb can be effectively covered by using the radial midpalmar (RMP) flap, which is usually harvested as a pedicled flap. However, previous anatomical studies on this flap are limited. We analyzed multidetector-row computed tomography angiograms of the radial midpalm of hands to more precisely characterize the 3-dimensional anatomical structure of the perforators in living patients.
View Article and Find Full Text PDFEur Arch Otorhinolaryngol
January 2025
Vrije Universiteit Brussel, Brussels Health Centre, Brussels, Belgium.
Purpose: Cochlear implants (CI) are the most successful bioprosthesis in medicine probably due to the tonotopic anatomy of the auditory pathway and of course the brain plasticity. Correct placement of the CI arrays, respecting the inner ear anatomy are therefore important. The ideal trajectory to insert a cochlear implant array is defined by an entrance through the round window membrane and continues as long as possible parallel to the basal turn of the cochlea.
View Article and Find Full Text PDFFront Sports Act Living
December 2024
Department of Joint Surgery, The Central Hospital of Enshi Tujia and Miao Autonomous Prefecture, Enshi, China.
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