Differentiating the clinical and computed tomography imaging features of mixed epithelial and stromal tumors of the kidney to establish a treatment plan

JOURNAL OF APPLIED CLINICAL MEDICAL PHYSICS(2022)

引用 1|浏览8
暂无评分
摘要
Objective To differentiate the clinical features and computed tomography imaging features in the two types of mixed epithelial and stromal tumor of the kidney (MESTK) and to establish a treatment plan for the MESTK types. Methods Seventeen patients who underwent multidetector computed tomography (MDCT) before surgery and had a pathological diagnosis of MESTK were enrolled. Their clinical information (R.E.N.A.L. nephrometry score (R.E.N.A.L.-NS), radical nephrectomy (RN), partial nephrectomy (PN), etc.) were collected. The radiological features included renal sinus fat invagination (SFI), maximal diameter (MD), capsule and septa of the tumor, etc., were also analyzed. They were divided into two types according to the MDsolid/MDtumor ratio (solid type with >60%; cystic type with <= 60%). An independent-sample t-test and Fisher exact test were used to assess the differences between the two groups. Results MESTKs demonstrated a variable multi-septate cystic and solid components with a delayed enhancement. There were nine patients for solid type and eight patients for cystic type. Compared with solid type, the lesions in cystic type have larger MD (81.00 +/- 37.91 vs. 41.22 +/- 24.19, p = 0.020), higher R.E.N.A.L.-NS (10.03 +/- 0.50 vs. 8.95 +/- 1.26, p < 0.001), higher RN (75.00% vs. 22.22%, p = 0.015), larger SFI (87.5% vs. 33.3%, p = 0.05), more septa (100% vs. 0%, p < 0.001), and more capsule (100% vs. 11.1%, p < 0.001). Conclusion Cystic type MESTK has more hazardous features (such as larger MD, higher R.E.N.A.L.-NS, more RN, greater SFI, multiple septa) compared with solid type, suggesting that RN is more suitable for cystic type and PN for solid type.
更多
查看译文
关键词
classification, clinical data, mixed epithelial and stromal tumor of the kidney, multidetector computed tomography features, patient management
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要