Predictive Features of Pre-operative Computed Tomography and Magnetic Resonance Imaging for Advanced Disease in Renal Cell Carcinoma
试验速览
- 阶段
- 不适用
- 状态
- 已完成
- 发起方
- 入组人数
- 92
- 试验地点
- 1
- 主要终点
- Renal capsule invasion
研究概览
简要总结
The investigators aimed to evaluate the role of some findings that can be detected in preoperative radiological imaging of kidney masses in predicting locally advanced disease.
详细描述
Renal cell carcinoma (RCC) is one of the most common urinary system cancers and accounts for 3% of all cancers. With the frequent use of imaging methods most renal masses are detected localized. The standard treatment option in localized RCC is radical nephrectomy (RN) or nephron-sparing surgery (NSS). NSS is preferred when appropriate in patients with tumor stage 1 (T1) and has been shown to be comparable to RN in terms of oncologic outcomes. Although there is no prospective randomized study comparing NSS with RN in terms of oncological and renal functions in T2 patients, there are retrospective studies conducted to date. According to the current European urology guideline, the standard approach in patients with T2 and above is RN. Pre-operative clinical staging is performed with computed tomography (CT) or magnetic resonance imaging (MRI), and patients may develop local recurrence despite surgical procedures based on clinical stage. Pre-operative the patient and in the management of local disease. In clinical practice, pre-operative CT and MRI provide information about tumor size, tumor localization, presence of tumor invasion into vascular structures and adjacent organs. However, apart from these frequently reported findings, there are CT and MRI findings that can be used to predict advanced disease. In the 2017 Tumor, node, metastasis (TNM) classification, invasion of the pelvicalyceal system, perirenal or renal sinus fat invasion has been included in the T3a category. There are studies evaluating predictive value of CT to indicate renal sinus fat or perirenal fat invasion. Although not in the standard TNM classification, it has been shown that renal capsule invasion is an independent prognostic variable for advanced disease and can be detected on CT. On the other hand, it has been indicated that thickening of the Gerota's fascia, the presence of enlarged collateral vessels, and the presence of intra-tumoral necrosis may be imaging findings that can be used to predict advanced disease. The investigators think that the markers evaluated so far in pre-operative imaging and some additional markers may predict advanced disease in RCC. The investigators also think that the predictive value of MRI may be higher than CT. Therefore, in this study the investigators evaluated some predictive features (Renal capsule invasion, perirenal fat invasion, thickening of the Gerota's fascia, presence of enlarged collateral vessels, tumor necrosis, perinephric stranding) of pre-operative computed tomography and magnetic resonance imaging for advanced disease in renal cell carcinoma.
研究设计
- 研究类型
- Observational
- 观察模型
- Other
- 时间视角
- Retrospective
入排标准
- 年龄范围
- 20 Years 至 80 Years(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •patients operated for kidney mass
- •patients with preoperative CT or MRI imaging
排除标准
- •metastatic RCC
- •who had undergone surgery on the same side before kidney mass due to other urological pathologies
- •who had pathology results other than RCC (oncocytoma, etc.)
结局指标
主要结局
Renal capsule invasion
时间窗: 1 month
Whether there was a difference between the two groups in terms of the presence of pre-operative imaging (CT and MRI) renal capsule invasion.
Perirenal fat tissue invasion
时间窗: 1 month
Whether there was a difference between the two groups in terms of the presence of pre-operative imaging (CT and MRI) perirenal fat tissue invasion
Thickening of the Gerota's fascia
时间窗: 1 month
Whether there was a difference between the two groups in terms of the presence of pre-operative imaging (CT and MRI) thickening of the Gerota's fascia.
次要结局
未报告次要终点
研究者
selman unal
Principal Investigator
Ankara Yildirim Beyazıt University
