This article demonstrates a gateway system for converting image fusion results to digital imaging and communication in medicine (DICOM) objects. For the purpose of standardization and integration, we have followed the guidelines of the Integrated Healthcare Enterprise technical framework and developed a DICOM gateway. The gateway system combines data from hospital information system, image fusion results, and the information generated itself to constitute new DICOM objects. All the mandatory tags defined in standard DICOM object were generated in the gateway system. The gateway system will generate two series of SOP instances of each PET-MR fusion result; SOP (Service Object Pair) one for the reconstructed magnetic resonance (MR) images and the other for position emission tomography (PET) images. The size, resolution, spatial coordinates, and number of frames are the same in both series of SOP instances. Every new generated MR image exactly fits with one of the reconstructed PET images. Those DICOM images are stored to the picture archiving and communication system (PACS) server by means of standard DICOM protocols. When those images are retrieved and viewed by standard DICOM viewing systems, both images can be viewed at the same anatomy location. This system is useful for precise diagnosis and therapy.
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http://dx.doi.org/10.1007/s10278-004-1024-4 | DOI Listing |
J Med Internet Res
January 2025
Department of Electrical Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Background: The aging global population and the rising prevalence of chronic disease and multimorbidity have strained health care systems, driving the need for expanded health care resources. Transitioning to home-based care (HBC) may offer a sustainable solution, supported by technological innovations such as Internet of Medical Things (IoMT) platforms. However, the full potential of IoMT platforms to streamline health care delivery is often limited by interoperability challenges that hinder communication and pose risks to patient safety.
View Article and Find Full Text PDFBMC Med
January 2025
Nuffield Department of Primary Care Health Sciences, University of Oxford, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Background: The NHS App launched in 2019 as the 'digital front door' to the National Health Service in England with core features including General Practitioner (GP) appointment booking, repeat prescriptions, patient access to records and, later on, COVID-19 vaccination certification. Similar patient portals have been adopted in different formats and with variable levels of success. In this longitudinal study (2021-2023) we examined how the NHS App became implemented in the pandemic context and beyond.
View Article and Find Full Text PDFPlant Mol Biol
January 2025
Key Laboratory of Genetics, Breeding and Multiple Utilization of Crops, Ministry of Education, Key Laboratory of Biological Breeding for Fujian and Taiwan Crops, Ministry of Agriculture and Rural Affairs, Key Laboratory of Crop Biotechnology of Fujian Higher Education Institutes, College of Agriculture, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Acta Neuropathol Commun
January 2025
Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center Unit 1374, 1155 Pressler St, Houston, TX, 77030-3721, USA.
Renal medullary carcinoma is a rare undifferentiated tumor of the kidney associated with sickle cell trait and characterized by INI1 (SMARCB1) loss. Although metastasis to lungs, lymph nodes, and bone is commonly reported, distant spread to the central nervous system almost never occurs. Here we present an unusual case of a patient with renal medullary carcinoma with metastasis to the brain following treatment which included tazemetostat, an EZH2 inhibitor.
View Article and Find Full Text PDFCancer Med
January 2025
Division of Cancer Medicine, Department of Genitourinary Medical Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
Introduction: Small cell neuroendocrine carcinoma of the urinary tract (SCNEC-URO) has an inferior prognosis compared to conventional urothelial carcinoma (UC). Here, we evaluate the predictors and patterns of relapse after surgery.
Materials And Methods: We identified a definitive-surgery cohort (n = 224) from an institutional database of patients with cT1-T4NxM0 SCNEC-URO treated in 1985-2021.
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