Publications by authors named "Judong Pan"

The identification of aortic dissection (AD) at baseline plays a crucial role in clinical practice. Non-contrast CT scans are widely available, convenient, and easy to perform. However, the detection of AD on non-contrast CT scans by radiologists currently lacks sensitivity and is suboptimal.

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Convolutional neural networks (CNNs) have demonstrated great achievement in increasing the accuracy and stability of medical image segmentation. However, existing CNNs are limited by the problem of dependency on the availability of training data owing to high manual annotation costs and privacy issues. To counter this limitation, domain adaptation (DA) and few-shot learning have been extensively studied.

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Article Synopsis
  • A study evaluated the impact of a deep learning denoising algorithm, PixelShine (PS), on the quality of 70 kVp pelvic CT images from 33 patients with a low body mass index.
  • The results showed that images processed with PS (group B) had significantly better subjective quality scores, lower noise levels, and improved signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) compared to the original images (group A).
  • The findings suggest that using PS enhances the quality of pelvic arterial phase CT images by significantly reducing noise and boosting SNR and CNR.
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Article Synopsis
  • The lateral hip consists of various bone and soft tissue structures, which play important roles in hip function and can be affected by different clinical issues.
  • The article highlights common conditions causing lateral hip pain, particularly Greater trochanteric pain syndrome, which involves soft tissue problems like bursitis and tendon injuries.
  • It also touches on rarer conditions that can present with similar symptoms, such as Morel-Lavallée lesion and meralgia paresthetica, emphasizing the need for understanding these various pathologies when diagnosing hip pain.
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Soft tissue abnormalities about the hip represent a common clinical problem. Although the signs and symptoms of some of these abnormalities are clinically evident, other entities are frequently overlooked. This article provides an overview and discusses the role of major imaging modalities, especially MR imaging, the primary modality for evaluation of many soft-tissue abnormalities.

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Purpose: To determine the frequency of degenerative knee morphologic abnormalities in asymptomatic individuals by using 3-T magnetic resonance (MR) imaging and to investigate the characteristics and evolution of cartilage T2 values in relation to morphologic abnormalities with a longitudinal study.

Materials And Methods: The study was approved by the institutional review board and was compliant with HIPAA. Ninety-five asymptomatic subjects aged 45-78 years who were free of risk factors for osteoarthritis (OA) were selected from the Osteoarthritis Initiative normal control cohort and examined with radiography and 3-T MR imaging.

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Purpose: To prospectively evaluate changes in T1rho and T2 relaxation time in the meniscus using 3.0 T MRI in asymptomatic knees of marathon runners and to compare these findings with those of age-matched healthy subjects.

Material And Methods: Thirteen marathon runners underwent 3.

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A new proviral integration site for feline leukemia virus (FeLV), termed flit-1, was identified from feline thymic lymphoma. Among 35 FeLV-related tumors examined, 5 of 25 thymic lymphomas demonstrated proviral insertion within flit-1 locus whereas none of four alimentary and five multicentric lymphomas and one T-lymphoid leukemia examined had rearrangement in this region. Extensive sequence analysis has shown that flit-1, which is noncoding, is conserved on human chromosome 12 and mouse chromosome 15.

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Renal cell carcinoma (RCC) is characterized by organ-specific metastases. The chemokine stromal derived factor-1 (SDF-1/CXCL12) and its receptor CXCR4 have been suggested to regulate organ-specific metastasis in various other cancers. On this basis, we hypothesized that the biological axis of CXCL12 via interaction with its receptor, CXCR4, is a major mechanism for RCC metastasis.

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Metastatic renal cell carcinoma (RCC) responds poorly to chemo- or radiation therapy but appears to respond to systemic immunotherapy (i.e., IL-2 and/or IFN-alpha), albeit with only 5-10% durable response.

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