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评估三维图像引导机器人辅助部分肾切除术(3D-IGRAPN)的肿瘤学和功能结果:一项前瞻性研究(UroCCR-186)

Assessing Oncologic and Functional Outcomes of 3D Image-Guided Robotic-Assisted Partial Nephrectomy (3D-IGRAPN): A Prospective Study (UroCCR-186).

作者信息

Pitout Alice, Margue Gaëlle, Rubat Baleuri Federico, Khaddad Abderrahmane, Pattou Maxime, Bladou Franck, Robert Grégoire, Bernhard Jean-Christophe

机构信息

Urology Department, Bordeaux University Hospital, 33000 Bordeaux, France.

I.CaRe Bordeaux-BRIC Inserm U1312, 33200 Bordeaux, France.

出版信息

Cancers (Basel). 2025 Jun 25;17(13):2127. doi: 10.3390/cancers17132127.


DOI:10.3390/cancers17132127
PMID:40647427
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12248779/
Abstract

BACKGROUND/OBJECTIVES: Three-dimensional (3D) image-guided robotic-assisted partial nephrectomy (3D-IGRAPN) integrates patient-specific anatomical models to optimize surgical planning and intraoperative guidance in the management of renal tumors. This study aimed to assess medium-term functional and oncologic outcomes of 3D-IGRAPN in a large, prospective cohort. METHODS: All consecutive patients undergoing 3D-IGRAPN between January 2016 and March 2023 at a tertiary referral center were prospectively included in the UroCCR database (NCT03293563). Patient-specific 3D models were generated from preoperative CT scans and used intraoperatively. The primary endpoint was trifecta achievement, defined as an absence of major complications (Clavien-Dindo ≥ 3), negative surgical margins for malignant tumors, and ≥90% preservation of baseline renal function at 3 months. Secondary endpoints included functional outcomes, complication rates, local recurrence, and metastasis rates, as well as cancer-specific and overall survivals. RESULTS: Among 568 patients (586 surgeries), the trifecta was achieved in 55.2% of evaluable malignant cases. Severe complications occurred in 33 cases (5.6%), and positive surgical margins were reported in 27 cases (5.1%) out of 528 surgeries involving malignant lesions. Renal function was preserved in 59.9% of patients at 3 months. At a mean follow-up of 31.5 months, recurrence and metastasis rates were 7.4% and 8.6%, respectively. Cancer-specific and overall survival at follow-up were 96.5% and 89%. CONCLUSIONS: 3D-IGRAPN demonstrates favorable functional and oncologic outcomes, even in complex tumors. These results support the integration of 3D modeling as a standard tool in image-guided nephron-sparing surgery.

摘要

背景/目的:三维(3D)图像引导机器人辅助部分肾切除术(3D-IGRAPN)整合了患者特异性解剖模型,以优化肾肿瘤治疗中的手术规划和术中引导。本研究旨在评估大型前瞻性队列中3D-IGRAPN的中期功能和肿瘤学结局。 方法:2016年1月至2023年3月在一家三级转诊中心接受3D-IGRAPN的所有连续患者均被前瞻性纳入UroCCR数据库(NCT03293563)。从术前CT扫描生成患者特异性3D模型并在术中使用。主要终点是三连胜达成,定义为无重大并发症(Clavien-Dindo≥3级)、恶性肿瘤手术切缘阴性以及3个月时基线肾功能保留≥90%。次要终点包括功能结局、并发症发生率、局部复发和转移率,以及癌症特异性生存率和总生存率。 结果:在568例患者(586次手术)中,55.2%的可评估恶性病例实现了三连胜。33例(5.6%)发生严重并发症,在涉及恶性病变的528次手术中,27例(5.1%)报告手术切缘阳性。3个月时59.9%的患者肾功能得以保留。平均随访31.5个月时,复发率和转移率分别为7.4%和8.6%。随访时癌症特异性生存率和总生存率分别为96.5%和89%。 结论:3D-IGRAPN显示出良好的功能和肿瘤学结局,即使在复杂肿瘤中也是如此。这些结果支持将3D建模作为图像引导保留肾单位手术的标准工具加以整合。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a118/12248779/1b499bc1c394/cancers-17-02127-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a118/12248779/ad7e3be26029/cancers-17-02127-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a118/12248779/a88b6111c1c6/cancers-17-02127-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a118/12248779/1b499bc1c394/cancers-17-02127-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a118/12248779/ad7e3be26029/cancers-17-02127-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a118/12248779/a88b6111c1c6/cancers-17-02127-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a118/12248779/1b499bc1c394/cancers-17-02127-g003.jpg

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本文引用的文献

[1]
Clinical Trial Protocol for ACCURATE: A CCafU-UroCCR Randomized Trial: Three-dimensional Image-guided Robot-assisted Partial Nephrectomy for Renal Complex Tumor (UroCCR 99).

Eur Urol Oncol. 2025-4-7

[2]
Three-dimensional virtual model for robot-assisted partial nephrectomy: a propensity-score matching analysis with a contemporary control group.

World J Urol. 2024-5-20

[3]
Automatic 3D Augmented-Reality Robot-Assisted Partial Nephrectomy Using Machine Learning: Our Pioneer Experience.

Cancers (Basel). 2024-3-4

[4]
Development and internal validation of a nomogram predicting 3-year chronic kidney disease upstaging following robot-assisted partial nephrectomy.

Int Urol Nephrol. 2024-3

[5]
Patient-specific simulations and navigation systems for partial nephrectomy.

Int J Urol. 2023-12

[6]
Technologic advances in robot-assisted nephron sparing surgery: a narrative review.

Transl Androl Urol. 2023-7-31

[7]
Late complications and 5 years outcomes of robotic partial nephrectomy in France: prospective assessment in the French Kidney Cancer Research Network (UroCCR 10).

World J Urol. 2023-8

[8]
Three-dimensional virtual models assistance predicts higher rates of "successful" minimally invasive partial nephrectomy: an Institutional analysis across the available trifecta definitions.

World J Urol. 2023-4

[9]
Three-dimensional Model-assisted Minimally Invasive Partial Nephrectomy: A Systematic Review with Meta-analysis of Comparative Studies.

Eur Urol Oncol. 2022-12

[10]
A survey of augmented reality methods to guide minimally invasive partial nephrectomy.

World J Urol. 2023-2

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