Robotics & Machine Learning Daily News2024,Issue(MAY.9) :51-52.

Department of Plastic and Reconstructive Surgery Reports Findings in Robotics (S urgical outcomes of robotic versus conventional autologous breast reconstruction : a systematic review and metaanalysis)

Robotics & Machine Learning Daily News2024,Issue(MAY.9) :51-52.

Department of Plastic and Reconstructive Surgery Reports Findings in Robotics (S urgical outcomes of robotic versus conventional autologous breast reconstruction : a systematic review and metaanalysis)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Robotics is the subjec t of a report. According to news reporting out of Cairo, Egypt, by NewsRx editor s, research stated, “Breast reconstruction is an integral part of breast cancer management. Conventional techniques of flap harvesting for autologous breast rec onstruction are associated with considerable complications.” Our news journalists obtained a quote from the research from the Department of P lastic and Reconstructive Surgery, “Robotic surgery has enabled a new spectrum o f minimally invasive breast surgeries.The current systematic review and meta-an alysis study was designed to retrieve the surgical and clinical outcomes of robo tic versus conventional techniques for autologous breast reconstruction. An exte nsive systematic literature review was performed from inception to 25 April 2023 . All clinical studies comparing the outcomes of robotic and conventional autolo gous breast reconstruction were included for meta-analysis. The present meta-ana lysis included seven articles consisting of 783 patients. Of them, 263 patients received robotic breast reconstruction, while 520 patients received conventional technique. Of note, 477 patients received latissimus dorsi flap (LDF) and 306 w ere subjected to deep inferior epigastric artery perforator (DIEP) flap. There w as a significantly prolonged duration of surgery (MD 58.36;95% CI 32.05,84.67;P <0.001) and duration of anaesthesia (MD 47;9 5% CI 16.23,77.77;P = 0.003) among patients who underwent robotic surgery. There was a similar risk of complications between robotic and conventio nal surgeries. The mean level of pain intensity was significantly lower among pa tients who received robotic breast surgery (MD- 0.28;95% CI - 0.73 ,0.17; P = 0.22). There was prolonged length of hospitalization among patients w ith conventional DIEP flap surgery (MD- 0.59;95% CI - 1.13,-0.05;P = 0.03). The present meta-analysis highlighted the feasibility, safety, and eff ectiveness of robotic autologous breast reconstruction.”

Key words

Cairo, Egypt, Africa, Emerging Technolog ies, Health and Medicine, Machine Learning, Risk and Prevention, Robotics, Robot s, Surgery

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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