Study of Individual Characteristic Abdominal Wall Thickness Based on Magnetic Anchored Surgical Instruments

Background:Magnetic anchored surgical instruments (MASI),relying on magnetic force,can break through the limitations of the single port approach in dexterity.Individual characteristic abdominal wall thickness (ICAWT) deeply influences magnetic force that determines the safety of MASI.The purpose of this study was to research the abdominal wall characteristics in MASI applied environment to find ICAWT,and then construct an artful method to predict ICAWT,resulting in better safety and feasibility for MASI.Methods:For MASI,ICAWT is referred to the thickness of thickest point in the applied environment.We determined ICAWT through finding the thickest point in computed tomography scans.We also investigated the traits of abdominal wall thickness to discover the factor that can be used to predict ICAWT.Results:Abdominal wall at C point in the middle third lumbar vertebra plane (L3) is the thickest during chosen points.Fat layer thickness plays a more important role in abdominal wall thickness than muscle layer thickness."BMI-ICAWT" curve was obtained based on abdominal wall thickness of C point in L3 plane,and the expression was as follow:f(x) =P1 × x^2 + P2 x x + P3,where P1 =0.03916 (0.01776,0.06056),P2 =1.098 (0.03197,2.164),P3 =-18.52 (-31.64,-5.412),R-square:0.99.Conclusions:Abdominal wall thickness of C point at L3 could be regarded as ICAWT.BMI could be a reliable predictor of ICAWT.In the light of "BMI-ICAWT" curve,we may conveniently predict ICAWT by BMI,resulting a better safety and feasibility for MASI..

Medienart:

Artikel

Erscheinungsjahr:

2015

Erschienen:

2015

Enthalten in:

Zur Gesamtaufnahme - volume:128

Enthalten in:

Chinese medical journal - 128(2015), 15, Seite 2040-2044

Sprache:

Englisch

Beteiligte Personen:

Ding-Hui Dong Wen-Yan Liu Hai-Bo Feng Yi-Li FU Shi Huang Jun-Xi Xiang Yi Lyu [VerfasserIn]

Links:

Volltext
lib.cqvip.com
www.ncbi.nlm.nih.gov

Themen:

个体特征
厚度比
外科器械
安全性
手术器械
CT扫描

doi:

10.4103/0366-6999.161360

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

OLC1965682790