Robotic Complete Mesocolic Excision for Splenic Flexure of Colon Cancer

Aghayeva, Afag; Baca, Bilgi; Atasoy, Deniz; Bayraktar, Onur; Ozben, Volkan; Ergüner, İlknur; Hamzaoğlu, İsmail; Karahasanoğlu, Tayfun

doi:10.1097/dcr.0000000000000691

Cited by 9 publications

(3 citation statements)

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“…However, among laparoscopic colorectal procedures, splenic flexure resection and transverse colectomy were considered to be the most difficult in a survey of experienced laparoscopic colorectal surgeons . Several laparoscopic techniques have been used for splenic flexure cancer (SFC), while few data are available for robotic approaches aside from a single technical report …”

Section: Introductionmentioning

confidence: 99%

“…12 Several laparoscopic techniques have been used for splenic flexure cancer (SFC), [13][14][15][16][17] while few data are available for robotic approaches aside from a single technical report. 18 Robotic approaches are increasingly used in colorectal surgery owing to their greater visualization of the surgical site and a high degree of dexterity. The limitations of a laparoscopic approach are particularly challenging in complex procedures, and may therefore be overcome by a robotic approach in SF-DCC surgery.…”

Section: Introductionmentioning

confidence: 99%

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Robotic left colectomy with complete mesocolectomy for splenic flexure and descending colon cancer, compared with a laparoscopic procedure

Kim

Lee

Yoon

et al. 2018

Robotics Computer Surgery

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Robotic left colectomy with complete mesocolectomy for splenic flexure and descending colon cancer, compared with a laparoscopic procedure

Kim

Lee

Yoon

et al. 2018

Robotics Computer Surgery

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“…49 While the literature on robotic CME remains sparse, several authors have commented on the potential for its development, citing its stable camera platform and precise instrumentation. [50][51][52][53] Using the older dV Si, Trastulli et al showed in their series of 20 patients how a surgeon at the beginning of his learning curve for robotic right hemicolectomy managed to complete all cases without conversion or intraoperative morbidity, and achieve a mean hospital stay of 4.5 days (range, 3.5-7). 54 Considering that performing CVL for right hemicolectomy along the axis of the superior mesenteric vein would involve a wide operative field from the right iliac fossa to the mid-transverse colon, the multiquadrant capabilities of the Xi make it well suited for this task.…”

mentioning

confidence: 99%

The da Vinci Xi: a review of its capabilities, versatility, and potential role in robotic colorectal surgery

Ngu¹,

Tsang²,

Koh³

2017

RSRR

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Abstract:The Xi is the latest da Vinci surgical system approved for use in colorectal surgery. With its novel overhead architecture, slimmer boom-mounted arms, extended instrument reach, guided targeting, and integrated auxiliary technology, the Xi manages to address several limitations of earlier models. The versatility of this new system allows it to be implemented in a wide range of colorectal procedures -from complex multiquadrant colectomies to challenging mesorectal dissections in the pelvis. While commonly criticized for its cost and prolonged operative time, robotic colorectal surgery holds the potential for enhanced ergonomics, superior precision, and a reduction in the learning curve involved in training an expert surgeon. This review appraises the existing literature on robotic colorectal surgery while elaborating how the improved capabilities of the Xi serve to usher in a new era of minimally invasive colorectal surgery.

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Robotic sphincter saving rectal cancer surgery: A learning curve analysis

Aghayeva

Baca

2020

Robotics Computer Surgery

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BackgroundLonger operation time is one of the major obstacles in front of the proposed benefits of robotic rectal surgery. We intended to evaluate the learning process for robotic surgery in sphincter saving rectal cancer surgery.MethodsThe learning curve was evaluated using the cumulative sum (CUSUM) method. The variable evaluated for learning curve calculation was the operative time.ResultsThe learning curve was divided into two phases: initial 52 operations comprised phase 1 and the following 44 operations represented phase 2. Interphase comparisons showed that phase 2 patients had shorter operation times (323.3 ± 102.8 vs. 379.9 ± 108.7 min, p = 0.011), less blood loss (37.2 ± 51.0 vs. 87.7 ± 124.8 mL, p = 0.009), longer distal resection margins (4.5 ± 4.3 vs. 2.5 ± 1.7 cm, p = 0.008), and higher rates of grade 3 mesorectal completeness (p = 0.001).ConclusionIn this study, we saw that the cut‐off level in the learning curve of a laparoscopically experienced surgeon could be beyond the numbers reported in the literature.

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Robotic Complete Mesocolic Excision for Splenic Flexure of Colon Cancer

Cited by 9 publications

References 0 publications

Robotic left colectomy with complete mesocolectomy for splenic flexure and descending colon cancer, compared with a laparoscopic procedure

Robotic left colectomy with complete mesocolectomy for splenic flexure and descending colon cancer, compared with a laparoscopic procedure

The da Vinci Xi: a review of its capabilities, versatility, and potential role in robotic colorectal surgery

Robotic sphincter saving rectal cancer surgery: A learning curve analysis

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