The MicroHand S robotic-assisted versus Da Vinci robotic-assisted radical resection for patients with sigmoid colon cancer: a single-center retrospective study

Luo, Dong; Liu, Yunfei; Zhu, Hongwei; Li, Xia; Gao, Wenzhe; Li, Xinyu; Zhu, Shaihong; Yu, Xiaofang

doi:10.1007/s00464-019-07107-z

Cited by 15 publications

(16 citation statements)

References 25 publications

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“…In 2000, the da Vinci robotic surgical system was approved by the Food and Drug Administration in the US (1), and since Horgan first reported using it in an adrenalectomy in 2001 (2), robotic-assisted surgery has been increasingly used. In the past decade, robot-assisted surgery with the da Vinci surgical system has increased rapidly in mainland China (3), and the average number of procedures per robot is far ahead of that in other developed countries (4).…”

Section: Introductionmentioning

confidence: 99%

Multicenter comparative study of three “non-destructive” methods of detecting the cleanliness of the da Vinci surgical robotic instrument

Chen¹,

Zou²,

Tan³

et al. 2021

Gland Surg

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Background: The robotic instrument of the da Vinci surgical system determines the accuracy of roboticassisted surgery, However, the most effective cleaning method of robotic equipment is a challenge for healthcare professionals. This study compared three da Vinci robot-assisted surgery manipulators to detect the effect of "non-destructive" testing of the cleaning effect by two different methods. Methods:The post-surgical cleaning of the da Vinci robotic instruments in the Sun Yat-

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Section: Introductionmentioning

confidence: 99%

Multicenter comparative study of three “non-destructive” methods of detecting the cleanliness of the da Vinci surgical robotic instrument

Chen¹,

Zou²,

Tan³

et al. 2021

Gland Surg

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“…Surgical robot has attracted tremendous attention from all fields of the medical industry since its inception. The appliance of MicroHand S surgical system [2] in China is one of the promising alternative treatment for sigmoid colon cancer. [3] offers instances of repairing a doubly committed juxta-arterial ventricular septal defect with Da Vinci robotic system via left thorax approach.…”

Section: Introductionmentioning

confidence: 99%

Notice of Retraction: DIEN Network: Detailed Information Extracting Network for Detecting Continuous Circular Capsulorhexis Boundaries of Cataracts

Han

Wang

2020

IEEE Access

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Robotic surgery is an arising area to satisfy the tremendous demand of modern clinical application, and it is becoming more and more acceptable by the normal. In this paper, we are dedicated to finding a more modern solution for continuous circular capsulorhexis of cataract surgery via deep learning method. We take inspiration from former works and propose a detailed information extracting network structure that is suitable applied in the area of clinical, where more side-output layers are used in the convolutional modules, rather than single side-output of specific layer. Moreover, to balance the positive samples and the negative samples and make the network model more stable convergence, we introduce focal loss as the loss function of the model. Instead of exploiting network structure deeper and deeper, the boundary of continuous circular capsulorhexis extracted by above approaches can satisfy the demand of the surgery robots need during a cataract surgery. We evaluate the results on the dataset provided by clinical ophthalmologists, and achieves F=.808. INDEX TERMS deep learning, edge detection, image processing, robotic surgery.

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“…Several series included the same population reducing the total number to 2819 patients (Table 1). Among the included studies, 36 were case reports , 52 were noncomparative studies , and 15 were comparative studies [99][100][101][102][103][104][105][106][107][108][109][110][111][112][113]. Only one study was a randomized controlled trial [103].…”

Section: Resultsmentioning

confidence: 99%

New Robotic Platforms in General Surgery: What’s the Current Clinical Scenario?

et al. 2023

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Background and Objectives: Robotic surgery has been widely adopted in general surgery worldwide but access to this technology is still limited to a few hospitals. With the recent introduction of new robotic platforms, several studies reported the feasibility of different surgical procedures. The aim of this systematic review is to highlight the current clinical practice with the new robotic platforms in general surgery. Materials and Methods: A grey literature search was performed on the Internet to identify the available robotic systems. A PRISMA compliant systematic review was conducted for all English articles up to 10 February 2023 searching the following databases: MEDLINE, EMBASE, and Cochrane Library. Clinical outcomes, training process, operating surgeon background, cost-analysis, and specific registries were evaluated. Results: A total of 103 studies were included for qualitative synthesis after the full-text screening. Of the fifteen robotic platforms identified, only seven were adopted in a clinical environment. Out of 4053 patients, 2819 were operated on with a new robotic device. Hepatopancreatobiliary surgery specialty performed the majority of procedures, and the most performed procedure was cholecystectomy. Globally, 109 emergency surgeries were reported. Concerning the training process, only 45 papers reported the background of the operating surgeon, and only 28 papers described the training process on the surgical platform. Only one cost-analysis compared a new robot to the existing reference. Two manufacturers promoted a specific registry to collect clinical outcomes. Conclusions: This systematic review highlights the feasibility of most surgical procedures in general surgery using the new robotic platforms. Adoption of these new devices in general surgery is constantly growing with the extension of regulatory approvals. Standardization of the training process and the assessment of skills’ transferability is still lacking. Further studies are required to better understand the real clinical and economical benefit.

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The MicroHand S robotic-assisted versus Da Vinci robotic-assisted radical resection for patients with sigmoid colon cancer: a single-center retrospective study

Cited by 15 publications

References 25 publications

Multicenter comparative study of three “non-destructive” methods of detecting the cleanliness of the da Vinci surgical robotic instrument

Multicenter comparative study of three “non-destructive” methods of detecting the cleanliness of the da Vinci surgical robotic instrument

Notice of Retraction: DIEN Network: Detailed Information Extracting Network for Detecting Continuous Circular Capsulorhexis Boundaries of Cataracts

New Robotic Platforms in General Surgery: What’s the Current Clinical Scenario?

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