A three-dimensional, anatomy-based nephrometry score to guide nephron-sparing surgery for renal sinus tumors.

CANCER(2020)

引用 8|浏览72
暂无评分
摘要
Background A quantitative nephrometry scoring system specifically for renal sinus tumors will assist in classifying surgical complexity and treatment planning. Methods By using preoperative computed tomography, magnetic resonance imaging, and 3-dimensional image reconstruction, 5 critical components were assessed: the ratio of the sinus area occupied by the tumor in relation to the whole sinus area (R), the compression of the renal segmental vessels or collection system by the tumor (O), the anteroposterior relation of the tumor relative to the segmental vessels or collection system (A), the tumor diameter (D), and whether the tumor affects a solitary kidney (S) ("ROADS"). The ROADS score, indicating low, moderate, or high surgical complexity, was then used to guide surgical strategy planning, including cooling techniques, surgical approaches, and parenchyma incision techniques. A cohort of 134 patients with renal sinus tumors was treated based on their ROADS score and was retrospectively analyzed. Results The authors successfully performed 113 nephron-sparing surgeries and 21 radical nephrectomies with a complication rate of 7.9%. During follow-up, 3 cases were classified according to surgical margin status because they lacked an intact tumor capsule. There was only 1 case of local recurrence, and there were no cases of metastasis. A high ROADS score was correlated with greater operative complexity, such as longer operation and ischemia times and higher estimated blood loss and complication rates. However, renal function and short-term oncologic outcomes were not related to the score. Conclusions The ROADS scoring system provides a standardized, quantitative, 3-dimensional anatomic classification to guide surgical strategy in renal sinus tumors.
更多
查看译文
关键词
image reconstruction,intraoperative complications,kidney neoplasms,minimally invasive surgery,neoplasm staging,nephrectomy,treatment outcome
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