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1.
Ann Surg Treat Res ; 87(2): 66-71, 2014 Aug.
Article in English | MEDLINE | ID: mdl-25114885

ABSTRACT

PURPOSE: Laparoscopic left lateral sectionectomy (LLLS) has been widely accepted due to benefits of minimally invasive surgery. Some surgeons prefer to isolate glissonian pedicles to segments II and III and to control individual pedicles with surgical clips, whereas opt like to control glissonian pedicles simultaneously using endoscopic stapling devices. The aim of this study was to find the rationale of LLLS using endoscopic staples. METHODS: We retrospectively analyzed and compared the clinical outcomes (operation time, drainage length, transfusion, hospital stay, and complication rate) of 35 patients that underwent LLLS between April 2004 and February 2012. Patients were dichotomized by surgical technique based on whether glissonian pedicles were isolated and controlled (the individual group, n = 21) or controlled using endoscopic staples at once (the batch group, n = 14). RESULTS: Mean operation time was 265.3 ± 21.3 minutes (mean ± standard deviation) in the individual group and 170 ± 22.9 minutes in the batch group. Operation time in the batch group was significantly shorter than the individual group (P = 0.007). Mean drainage length was 4.8 ± 1.6 and 2.6 ± 1.5 days in the individual and the batch group. There was significantly shorter in the batch group, also (P = 0.006). No transfusion was required in the batch group, but 4 patients in the individual group needed transfusion. Mean hospital stay was 10.7 ± 1.1 and 9.4 ± 0.8 days in the individual and the batch groups (P = 0.460). There were no significant complications or mortality in both groups. CONCLUSION: LLLS using endoscopic staples (batch group) was found to be an easier and safer technique without morbidity or mortality.

3.
Hum Hered ; 62(1): 1-11, 2006.
Article in English | MEDLINE | ID: mdl-16954696

ABSTRACT

The Haseman-Elston (HE) regression method and its extensions are widely used in genetic studies for detecting linkage to quantitative trait loci (QTL) using sib pairs. The principle underlying the simple HE regression method is that the similarity in phenotypes between two siblings increases as they share an increasing number of alleles identical by descent (IBD) from their parents at a particular marker locus. In such a procedure, similarity was identified with the locations, that is, means of groups of sib pairs sharing 0, 1, and 2 alleles IBD. A more powerful, rank-based nonparametric test to detect increasing similarity in sib pairs is presented by combining univariate trend statistics not only of locations, but also of dispersions of the squared phenotypic differences of two siblings for three groups. This trend test does not rely on distributional assumptions, and is applicable to the skewed or leptokurtic phenotypic distributions, in addition to normal or near normal phenotypic distributions. The performances of nonparametric trend statistics, including nonparametric regression slope, are compared with the HE regression methods as genetic linkage strategies.


Subject(s)
Computer Simulation/statistics & numerical data , Models, Genetic , Quantitative Trait Loci , Genetic Linkage , Humans , Matched-Pair Analysis , Quantitative Trait, Heritable , Regression Analysis , Statistics, Nonparametric
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