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Journal of modern medical imaging最新文献

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Abdominal Adipose Tissue Distribution in Male Patients with Urothelial Bladder Cancer 男性尿路上皮性膀胱癌患者腹部脂肪组织分布
Pub Date : 2023-04-19 DOI: 10.53964/jmmi.2023003
F. Greco, B. Zobel, C. Mallio
Background: Adiposopathy is characterized by excessive accumulation of adipose tissue, mainly visceral, which may determine adipocyte and adipose tissue-related disorder. A connection between adipose tissue secreted factors and bladder cancer (BC) cell migration has been shown in vitro. These mediators may be related to the pathogenesis of BC. Objective: The aim of this study is to evaluate the relationship between visceral adipose tissue (VAT) and urothelial bladder cancer (UBC) in male patients. Methods: In this retrospective study two groups were included. Total adipose tissue (TAT) area, VAT area and subcutaneous adipose tissue (SAT) area were measured in both groups. VAT/SAT ratio was subsequently calculated. Results: No statistically significant differences between the two groups were found in the TAT area, VAT area, SAT area and VAT/SAT ratio. Conclusion: The results of the present study suggest that VAT is not likely to be a biomarker for UBC risk in male patients.
背景:脂肪病的特点是脂肪组织过度堆积,主要是内脏脂肪组织,这可能决定了脂肪细胞和脂肪组织相关的疾病。脂肪组织分泌因子与膀胱癌症(BC)细胞迁移之间的联系已在体外显示。这些介质可能与BC的发病机制有关。目的:探讨男性患者内脏脂肪组织(VAT)与癌症尿路上皮癌(UBC)的关系。方法:在这项回顾性研究中,包括两组。测量两组的总脂肪组织(TAT)面积、VAT面积和皮下脂肪组织(SAT)面积。随后计算了增值税/SAT比率。结果:两组患者的TAT面积、VAT面积、SAT面积及VAT/SAT比值无统计学差异。结论:本研究的结果表明,VAT不太可能是男性患者UBC风险的生物标志物。
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引用次数: 0
Perforated Appendicitis 阑尾炎穿孔
Pub Date : 2023-01-16 DOI: 10.53964/jmmi.2023001
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引用次数: 0
The Role of Advanced Imaging in Neurosurgical Diagnosis. 先进成像技术在神经外科诊断中的作用。
Pub Date : 2023-01-01 Epub Date: 2023-02-15 DOI: 10.53964/jmmi.2023002
Kyril L Cole, Matthew C Findlay, Mrinmoy Kundu, Chase Johansen, Cameron Rawanduzy, Brandon Lucke-Wold

Neurosurgery as a specialty has developed at a rapid pace as a result of the continual advancements in neuroimaging modalities. With more sophisticated imaging options available to the modern neurosurgeon, diagnoses become more accurate and at a faster rate, allowing for greater surgical planning and precision. Herein, the authors review the current heavily used imaging modalities within neurosurgery, weighing their strengths and weaknesses, and provide a look into new advances and imaging options within the field. Of the many imaging modalities currently available to the practicing neurosurgeon, magnetic resonance imaging (MRI), computed tomography (CT), positron emission tomography (PET), and ultrasonography (US) are used most heavily within the field for appropriate diagnosis of neuropathologies in question. For each, their strengths are weighed regarding appropriate capabilities in accurate diagnosis of cranial or spinal lesions. Reasoning for choosing one over the other for various pathologies is also reviewed. Current limitations of each is also assessed, providing insight for possible improvement for each. New advancements in imaging options are subsequently reviewed for best uses within neurosurgery, including the new utilization of FIESTA sequencing, glymphatic mapping, black-blood MRI, and functional MRI. The specialty of neurosurgery will continue to heavily rely on improvements within imaging options available for improved diagnosis and greater surgical outcomes for the patients treated. The synthesis of techniques provided herein may provide meaningful guidance for neurosurgeons in effectively diagnosing neurological pathologies while also helping guide future efforts in neuroimaging developments.

由于神经成像模式的不断进步,神经外科作为一门专科得到了飞速发展。现代神经外科医生有了更复杂的成像选择,诊断变得更准确、更快速,从而可以制定更周密的手术计划,提高手术精确度。在此,作者回顾了神经外科目前大量使用的成像模式,权衡了它们的优缺点,并对该领域的新进展和成像选择进行了展望。在目前可供神经外科医生使用的多种成像模式中,磁共振成像(MRI)、计算机断层扫描(CT)、正电子发射断层扫描(PET)和超声波成像(US)在该领域的应用最为广泛,可用于相关神经病理学的适当诊断。在准确诊断颅骨或脊柱病变方面,对每种方法的优势都进行了权衡。此外,还回顾了针对各种病变选择其中一种方法的理由。还评估了每种方法目前的局限性,为每种方法可能的改进提供了启示。随后,还回顾了成像选项的新进展,包括 FIESTA 测序、glymphatic mapping、黑血磁共振成像和功能磁共振成像的新应用,以便在神经外科中发挥最佳作用。神经外科专业将继续在很大程度上依赖现有成像方案的改进,以提高诊断水平和手术治疗效果。本文提供的技术综述可为神经外科医生有效诊断神经系统病变提供有意义的指导,同时也有助于引导未来神经影像学的发展。
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引用次数: 0
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Journal of modern medical imaging
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