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An updated approach to incremental nerve sparing for robot-assisted radical prostatectomy

机译:用于机器人辅助自由基前列腺切除术的增量神经备件的更新方法

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Objectives To update the algorithm for performing incremental nerve sparing (NS) using our multiparametric magnetic resonance imaging (mpMRI)-based nomogram. Patients and methods We applied the coefficients of the nomogram to the observations extracted from our population of patients who underwent robot-assisted radical prostatectomy between February 2014 and October 2015 and who received preoperative mpMRI. The information considered were PSA level, highest side-specific biopsy Gleason grade group, highest ipsilateral percentage core involvement with the highest Gleason grade group, and extracapsular extension (ECE) on mpMRI. The nomogram-derived probability [P (%)], after internal validation, was used as the independent variable on a classification tree to identify the most significant thresholds for ECE prediction. Incremental NS was performed as follows: Grade 1 NS: intrafascial dissection between the peri-prostatic veins and the pseudocapsule of the prostate; Grade 2 NS: inter-fascial dissection along the peri-venous plane; Grade 3 NS: inter-fascial dissection through the outer compartment of the lateral prostatic fascia; Grade 4 NS: extrafascial dissection. Results Data from 561 patients were considered, and 829 prostatic lobes with biopsy-documented tumour were analysed. Overall, 142 lobes presented ECE that was focal in 27 (19%) cases. The classification tree identified four risk categories. In the low- [P (%) 73] groups, the ECE rates were 3.3%, 16%, 61.6% and 90%, respectively. Amongst those, ECE was focal in 41.7%, 31.7%, 7.9% and 0%, respectively. Conclusion We suggest that Grade 1 NS (intrafascial) should be performed in the low-risk group. The inter-fascial approach, namely grades 2 and 3 NS, should be performed in the intermediate- and high-risk categories, respectively. Grade 4 NS (extrafascial) should be performed in the very-high-risk group. The current algorithm yields a better accuracy than the previous one; however, prospective validation is warranted.
机译:使用我们的MultiParametric磁共振成像(MPMRI)的NOM图来更新用于执行增量神经备件(NS)的算法的目标。患者和方法我们将ROM图的系数应用于我们2014年2月和2015年10月之间接受机器人辅助自由基前列腺术的患者患者中提取的观察结果,并获得了术前MPMRI。所考虑的信息是PSA水平,最高侧面特异性活组织检查Gleason级群,Ipsilidally百分比核心参与最高的Gliason级组,以及MPMRI的肌囊肿延伸(ECE)。在内部验证之后,将墨迹派生概率[p(%)]用作分类树上的独立变量,以识别ECE预测的最显着的阈值。递增NS如下进行:1 NS:腹腔前列腺静脉与前列腺伪胶囊之间的血小体剖析; 2 NS:沿着围静脉飞机的识别间隔; 3 NS级:通过外侧前列腺筋膜外隔室的漂流性解剖; 4 NS:Extrafascial解剖。结果考虑了561名患者的数据,分析了829例具有活检记录肿瘤的前列腺裂片。总体而言,142个裂片呈现出27例(19%)案件的焦点。分类树确定了四个风险类别。在低[P(%)73]基团中,ECE率分别为3.3%,16%,61.6%和90%。其中,欧洲经委会分别为41.7%,31.7%,7.9%和0%焦点。结论我们建议在低风险群体中进行1 NS(血小体)。应分别在中间和高风险类别中进行迷心区间近似阶段2和3 ns。 4级NS(Extrafascial)应在非常高风险的群体中进行。目前的算法产生比前一个更好的精度;但是,有保证预期验证。

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