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肾细胞癌中毛细血管密度降低:来自一例微计算机断层扫描病例报告的证据。

Decreased capillary density in renal cell carcinoma: Evidence from a case report with micro-computerized tomography.

作者信息

Lin Tzu-Chun, Chen Huey-Yi, Yang You-Rong, Liu Po-Len, Chen Yung-Hsiang, Chen Wen-Chi

机构信息

Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University.

Department of Dermatology, Chung Shan Medical University Hospital.

出版信息

Medicine (Baltimore). 2019 Sep;98(36):e16910. doi: 10.1097/MD.0000000000016910.

Abstract

RATIONALE

Conventional computerized tomography (CT) examination can differentiate renal cortical tumor from urothelial carcinoma on the basis of the highly contrast-enhanced vessels in renal cortical tumors. However, the capillary distribution of renal cell carcinoma (RCC) has been under-investigated. Here, we present a micro-CT image of tumor tissue in a patient with RCC.

PATIENT CONCERNS

The patient was a 72-year-old woman with a past history of diabetes mellitus and hypertension. She did not have tumor-related symptoms.

DIAGNOSIS AND INTERVENTIONS

The tumor was diagnosed using abdominal CT during her yearly routine health check. After radical nephrectomy, the tumor was subjected to pathological examination and micro-CT imaging. Pathological analysis confirmed a clear cell renal carcinoma. The capillary distribution of the tumor was significantly lesser than that of the normal cortex on micro-CT image.

LESSONS

Microvessels of RCC can be detected by micro-CT. We also found that the distribution of microvessels was uneven and lower than that in the normal cortex in this case. For a more general diagnosis, more micro-CT images of RCC tumors are needed.

摘要

原理

传统计算机断层扫描(CT)检查可根据肾皮质肿瘤中高度强化的血管来区分肾皮质肿瘤与尿路上皮癌。然而,肾细胞癌(RCC)的毛细血管分布研究不足。在此,我们展示了一名RCC患者肿瘤组织的显微CT图像。

患者情况

该患者为一名72岁女性,有糖尿病和高血压病史。她没有肿瘤相关症状。

诊断与干预

在年度常规健康检查期间,通过腹部CT诊断出肿瘤。根治性肾切除术后,对肿瘤进行病理检查和显微CT成像。病理分析证实为透明细胞肾 carcinoma。在显微CT图像上,肿瘤的毛细血管分布明显少于正常皮质。

经验教训

RCC的微血管可通过显微CT检测到。我们还发现,在本例中微血管分布不均匀且低于正常皮质。为了进行更普遍的诊断,需要更多RCC肿瘤的显微CT图像。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/882e/6739017/f1626c635362/medi-98-e16910-g001.jpg

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