首页|Chulalongkorn University Reports Findings in Mastectomy [Is minimal-accessed (endoscopic- or robotic-assisted) nipple-sparing mastectomy cont raindicated for large breasts?]

Chulalongkorn University Reports Findings in Mastectomy [Is minimal-accessed (endoscopic- or robotic-assisted) nipple-sparing mastectomy cont raindicated for large breasts?]

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-New research on Surgery - Mastectomy i s the subject of a report. According to news reporting originating in Bangkok, T hailand, by NewsRx journalists, research stated, "In the developmental stage of minimal-accessed nipple-sparing mastectomy (MA-NSM), selecting patients with sma ll to mediumsized breasts was common for better cosmetic outcomes and oncologic al safety. However, the suitability of MA-NSM for large, ptotic breasts remained uncertain." The news reporters obtained a quote from the research from Chulalongkorn Univers ity, "This retrospective study aim to assess MA-NSM outcomes in patients with la rge breasts. This retrospective study included patients receiving conventional N SM (C-NSM) and MA-NSM from January 2011 to September 2022, at a single instituti on. We analyzed perioperative parameters and clinical outcomes based on breast s pecimen size, classified as small ( 300 g), medium (>300 -450 g), large (>450-600 g), and very large (> 600 g). A total of 728 patients was enrolled. C-NSM was performed in 51% (371/728) of cases, while MANSM was done in 49% (357/728). The ov erall complication rate of MA-NSM was comparable to C-NSM (p = 0.573), but sever e complications (Clavien-Dindo, CD III) was significantly reported more followin g C-NSM, regardless of breast size. During a median follow-up of 52 months, no s ignificant difference in oncological outcomes was observed. Comparing MA-NSM and C-NSM outcomes in large-very large breasts (>450 g), MA -NSM demonstrated significantly less blood loss (p = 0.036) and lower incidence of severe complications (CD III) compared to C-NSM (p = 0.002)."

BangkokThailandAsiaEmerging Techno logiesHealth and MedicineMachine LearningMastectomyRoboticsRobotsSur gery

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Mar.11)