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  1. Article ; Online: 5K

    Ruikar, Darshan D / Santosh, K C / Hegadi, Ravindra S / Rupnar, Lakhan / Choudhary, Vivek A

    Journal of medical systems

    2021  Volume 45, Issue 4, Page(s) 51

    Abstract: Imaging techniques widely use Computed Tomography (CT) scans for various purposes, such as screening, diagnosis, and decision-making. Of all, it holds true for bone injuries. To build fully automated Computer-Aided Detection (CADe) and Diagnosis (CADx) ... ...

    Abstract Imaging techniques widely use Computed Tomography (CT) scans for various purposes, such as screening, diagnosis, and decision-making. Of all, it holds true for bone injuries. To build fully automated Computer-Aided Detection (CADe) and Diagnosis (CADx) tools and techniques, it requires fairly large amount of data (with gold standard). Therefore, in this paper, since state-of-the-art works relied on small dataset, we introduced a CT image dataset on limbs that is designed to understand bone injuries. Our dataset is a collection of 24 patient-specific CT cases having fractures at upper and lower limbs. From upper limbs, 8 cases were collected from bones in/around the shoulder (left and right). Similarly, from lower limbs, 16 cases were collected from knees (left and right). Altogether, 5684 CT images (upper limbs: 2057 and lower limbs: 3627) were collected. Each patient-specific CT case is composed of maximum 257 scans/slices in average. Of all, clinically approved annotations were made on every 10th slices, resulting in 1787 images. Importantly, no fractured limbs were missed in our annotation. Besides, to avoid privacy and confidential issues, patient-related information were deleted. The proposed dataset could be a promising resource for the medical imaging research community, where imaging techniques are employed for various purposes. To the best of our knowledge, this is the first time 5K
    MeSH term(s) Fractures, Bone/diagnostic imaging ; Humans ; Radiography ; Tomography, X-Ray Computed
    Language English
    Publishing date 2021-03-09
    Publishing country United States
    Document type Journal Article
    ZDB-ID 423488-1
    ISSN 1573-689X ; 0148-5598
    ISSN (online) 1573-689X
    ISSN 0148-5598
    DOI 10.1007/s10916-021-01724-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Rare Case of Retroperitoneal Lipomatosis in an Indian Woman.

    Patil, Saurabh S / Shah, Vaibhav R / Choudhary, Vivek A

    Journal of radiology case reports

    2016  Volume 10, Issue 4, Page(s) 23–30

    Abstract: Retroperitoneal lipomatosis is a rare but distinct clinicopathological entity characterized by non encapsulated lipoma development in the retroperitoneum. Presenting complaints in the early stages are vague, and patients with retroperitoneal lipomatosis ... ...

    Abstract Retroperitoneal lipomatosis is a rare but distinct clinicopathological entity characterized by non encapsulated lipoma development in the retroperitoneum. Presenting complaints in the early stages are vague, and patients with retroperitoneal lipomatosis are often misdiagnosed because considerable abnormality is not detected by abdomino-pelvic sonography. However, because of the progressive nature of this lesion, most patients eventually present with varying degrees of urinary outflow obstruction and end stage renal disease, or bladder malignancies in few cases. Here we report a case of a 35-year-old Indian woman presenting with complaints of diffuse lumps in the abdomen and constipation. Based on the findings of the imaging [sonography and computed tomography (CT) scan] studies, benign retroperitoneal lipomatosis was preopreratively diagnosed and a confirmatory exploratory laprotomy was performed. Furthermore, we discuss the imaging findings obtained using various radiological modalities such as plain radiographs, intravenous urography, barium enema, sonography, CT and magnetic resonance imaging (MRI). We also discuss the etiopathogenesis, demographics, and various differential diagnoses of retroperitoneal lipomatosis.
    MeSH term(s) Adult ; Diagnosis, Differential ; Female ; Humans ; Lipomatosis, Multiple Symmetrical/diagnostic imaging ; Lipomatosis, Multiple Symmetrical/surgery ; Magnetic Resonance Imaging ; Retroperitoneal Space ; Tomography, X-Ray Computed ; Ultrasonography
    Language English
    Publishing date 2016-04-30
    Publishing country United States
    Document type Case Reports ; Journal Article
    ZDB-ID 2586384-8
    ISSN 1943-0922 ; 1943-0922
    ISSN (online) 1943-0922
    ISSN 1943-0922
    DOI 10.3941/jrcr.v10i4.2204
    Database MEDical Literature Analysis and Retrieval System OnLINE

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