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  1. 8601

    Bilateral Telencephalic Gliomatosis Cerebri in a Dog by Mario Ricciardi, Antonio De Simone, Pasquale Giannuzzi, Maria Teresa Mandara, Alice Reginato, Floriana Gernone

    Published 2014-01-01
    “…Neuropathological investigations were consistent with gliomatosis cerebri (GC). Such an unusual imaging pattern appeared similar to some cases of human GC and to a previous reported case in a dog, suggesting a possible repeatable imaging findings for this rare brain neoplasm. …”
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  2. 8602

    Arteriojejunal Fistula Presenting with Recurrent Obscure GI Hemorrhage in a Patient with a Failed Pancreas Allograft by Nirmit Desai, Sagar Patel, Chinyere Nwosu, Lok Sung, Carl Tack, Jonathan M. Buscaglia, Edward P. Nord, Nand K. Wadhwa

    Published 2013-01-01
    “…A capsule endoscopy and a technetium-labeled red blood cells (RBC) imaging study were similarly unrevealing for source of bleeding. …”
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  3. 8603

    Optimising artificial intelligence ultrasound tools in anaesthesiology and perioperative medicine: The next frontier for advanced technology application by Anastasia Jones, Ryan Tang, Anahita Dabo-Trubelja, Cindy B. Yeoh, Leshawn Richards, Vijaya Gottumukkala

    Published 2024-11-01
    “…While applications are available for lung imaging and vascular access, AI programs for airway and gastric US imaging solutions have yet to be available. …”
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    Article
  4. 8604

    Adrenal Lymphangioma Masquerading as a Catecholamine Producing Tumor by Israel Hodish, Lindsay Schmidt, Andreas G. Moraitis

    Published 2015-01-01
    “…The pertinent diagnostic and imaging features of adrenal lymphangiomas are reviewed. …”
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    Article
  5. 8605

    Non-Thrombotic Filling Defects in Cerebral Veins and Sinuses: When Normal Structures Mimic a Disease by Marialuisa Zedde, Rosario Pascarella

    Published 2025-01-01
    “…The diagnosis is a stepwise pathway starting from clinical suspicion and employing several neuroradiological techniques, mainly Computed Tomography (CT)-based and Magnetic Resonance Imaging (MRI)-based modalities. The neuroradiological findings, both in the diagnostic phase and in the follow-up phase, may provide some results at risk for misdiagnosis. …”
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  6. 8606
  7. 8607

    Construction of feature selection and efficacy prediction model for transformation therapy of locally advanced pancreatic cancer based on CT, 18F-FDG PET/CT, DNA mutation, and CA19... by Liang Qi, Xiang Li, Jiayao Ni, Yali Du, Qing Gu, Baorui Liu, Jian He, Juan Du

    Published 2025-01-01
    “…These patients had complete baseline enhanced CT images and baseline CA199 results. Among them, 65 patients had efficacy evaluation results after 4 treatment cycles, 54 patients had complete baseline PET/CT images, 51 patients had complete DNA mutation detection results, and 34 patients had both complete PET/CT images and DNA mutation detection results. …”
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  8. 8608

    CHOICE OF TESTING EQUIPMENT FOR ANALYSIS OF THE INDUSTRIAL ALLOYS STRUCTURE by A. G. Anisovich

    Published 2012-05-01
    “…The comparison of structure images (steel, cast iron, aluminum alloys) obtained with the help of scanning and metallographic microscopes has been made. …”
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  9. 8609

    The Brigade Renderer: A Path Tracer for Real-Time Games by Jacco Bikker, Jeroen van Schijndel

    Published 2013-01-01
    “…We present the Brigade renderer: an efficient system that uses the path tracing algorithm to produce images for real-time games. We describe the architecture of the Brigade renderer, and provide implementation details. …”
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  10. 8610

    Primary Renal Embryonal Rhabdomyosarcoma in Adults: A Case Report and Review of the Literature by Rafik Nabil Fanous, Erik K. Mayer, Justin Vale, Josephine Lloyd, Marjorie M. Walker

    Published 2012-01-01
    “…We discuss the clinical presentation, imaging findings, and histology for this case and review the available literature.…”
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    Article
  11. 8611

    Nonlinear Association Between the Liver Fat Content and the Risk of Hyperuricemia in Prediabetic Individuals: Evidence from Cross-Sectional Health Screening Data in China by Liu A, Li X, Zhang X, Chen K, Zou Z, Sun Y, Zhou J, Li Z, Wu X, Lv X, Li H, Guo Z, Li Y

    Published 2025-02-01
    “…Ao Liu,1 Xin Li,2 Xueyi Zhang,1 Keke Chen,3 Zhi Zou,4 Yongbing Sun,1 Jing Zhou,5 Zhonglin Li,4 Xiaoling Wu,6 Xue Lv,5 Hao Li,7 Zhiping Guo,8 Yongli Li5 1Department of Medical Imaging, People’s Hospital of Zhengzhou University, Zhengzhou, 450003, People’s Republic of China; 2Department of Medical Imaging, People’s Hospital of Henan University, Zhengzhou, 450003, People’s Republic of China; 3Department of Medical Imaging, Henan Provincial People’s Hospital, Xinxiang Medical College, Zhengzhou, 450003, People’s Republic of China; 4Department of Medical Imaging, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China; 5Department of Health Management, Henan Provincial Key Laboratory of Chronic Disease Health Management, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China; 6Department of Nuclear Medicine, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China; 7Department of Health Management, Fuwai Central China Cardiovascular Hospital, Zhengzhou, 451464, People’s Republic of China; 8Henan Provincial Key Laboratory of Chronic Disease Health Management, Fuwai Huazhong Cardiovascular Hospital, Zhengzhou, 450003, People’s Republic of ChinaCorrespondence: Yongli Li, Department of Health Management, Henan Provincial Key Laboratory of Chronic Disease Health Management, Henan Provincial People’s Hospital, Zhengzhou, 450003, People’s Republic of China, Email shyliyongli@126.comPurpose: The impact of hepatic lipid accumulation on hyperuricemia presents an intriguing research avenue, particularly in light of existing studies linking obesity with hyperuricemia. …”
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  12. 8612

    Development of an artificial intelligence-based application for the diagnosis of sarcopenia: a retrospective cohort study using the health examination dataset by Chang-Won Jeong, Dong-Wook Lim, Si-Hyeong Noh, Sung Hyun Lee, Chul Park

    Published 2025-02-01
    “…Abstract Background Medical imaging techniques for diagnosing sarcopenia have been extensively investigated. …”
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  13. 8613
  14. 8614

    Use of artificial intelligence for gestational age estimation: a systematic review and meta-analysis by Sabahat Naz, Sahir Noorani, Syed Ali Jaffar Zaidi, Abdu R. Rahman, Saima Sattar, Jai K. Das, Jai K. Das, Zahra Hoodbhoy

    Published 2025-01-01
    “…The pooled mean error in GA estimation based on 2D images (n = 6) and blind sweep videos (n = 4) was 4.32 days (95% CI: 2.82, 5.83; l2: 97.95%) and 2.55 days (95% CI: −0.13, 5.23; l2: 100%), respectively. …”
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  15. 8615

    YEARS clinical decision rule for diagnosing pulmonary embolism: a prospective diagnostic cohort follow-up study in primary care by Frans H Rutten, Menno V Huisman, Jeanet Blom, Rosanne van Maanen, Frederikus A Klok, Geert-Jan Geersing, Karel Moons, Hannah M la Roi-Teeuw, Melchior Nierman, Tuur Egbers

    Published 2025-02-01
    “…In those classified as ‘imaging needed’, PE was present in about one in every four patients, demonstrating a high detection proportion.…”
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  16. 8616

    Altered medial temporal lobe subregion volumes in systemic lupus erythematosus patients with neuropsychiatric symptoms by Z. Makdad Najeeb, P. C. Sundgren, A. Jönsen, K. Zervides, J. Lätt, T. Salomonsson, J. Nystedt, P. Nilsson, A. Bengtsson, G. Kuchcinski, L. E. M. Wisse

    Published 2025-01-01
    “…Methods A total of 70 SLE patients and 25 HI underwent clinical evaluation, cognitive testing, and 3 tesla MRI imaging. T1-weighted MRI images were analyzed using the Automatic Segmentation of Hippocampal Subfields-T1 software. …”
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  17. 8617

    Characteristics and multi-omics analysis of spontaneous spondyloarthritis in non-human primates: Case report by Lei Cai, Qing Lv, Ronghua Ma, Wei Liu, Yalun Guan, Zhongqiang Huang, Qingyu Liu, Yunfeng Li, Shuhua Liu, Ge Li, Yu Zhang

    Published 2025-01-01
    “…To delve into the pathological and physiological traits of spontaneous non-human primate spondyloarthritis, this study meticulously examined the disease features of this natural disease model through an array of techniques including X-ray imaging, MRI imaging, blood biochemistry, markers of bone metabolism, transcriptomics, proteomics, and metabolomics. …”
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  18. 8618
  19. 8619
  20. 8620