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Title:The learning curve of laparoscopic liver resection utilising a difficulty score
Authors:ID Ivanecz, Arpad (Author)
ID Plahuta, Irena (Author)
ID Mencinger, Matej (Author)
ID Peruš, Iztok (Author)
ID Magdalenić, Tomislav (Author)
ID Turk, Špela (Author)
ID Potrč, Stojan (Author)
Files:.pdf Ivanecz-2022-The_learning_curve_of_laparoscopi.pdf (1,43 MB)
MD5: 6D21B41797E762A3D32B7D42163A5E25
 
URL https://doi.org/10.2478/raon-2021-0035
 
Language:English
Work type:Scientific work
Typology:1.01 - Original Scientific Article
Organization:MF - Faculty of Medicine
FGPA - Faculty of Civil Engineering, Transportation Engineering and Architecture
UM - University of Maribor
Abstract:Background: This study aimed to quantitatively evaluate the learning curve of laparoscopic liver resection (LLR) of a single surgeon. Patients and methods: A retrospective review of a prospectively maintained database of liver resections was conducted. 171 patients undergoing pure LLRs between April 2008 and April 2021 were analysed. The Halls difficulty score (HDS) for theoretical predictions of intraoperative complications (IOC) during LLR was applied. IOC was defined as blood loss over 775 mL, unintentional damage to the surrounding structures, and conversion to an open approach. Theoretical association between HDS and the predicted probability of IOC was utilised to objectify the shape of the learning curve. Results: The obtained learning curve has resulted from thirteen years of surgical effort of a single surgeon. It consists of an absolute and a relative part in the mathematical description of the additive function described by the logarithmic function (absolute complexity) and fifth-degree regression curve (relative complexity). The obtained learning curve determines the functional dependency of the learning outcome versus time and indicates several local extreme values (peaks and valleys) in the learning process until proficiency is achieved. Conclusions: This learning curve indicates an ongoing learning process for LLR. The proposed mathematical model can be applied for any surgical procedure with an existing difficulty score and a known theoretically predicted association between the difficulty score and given outcome (for example, IOC).
Keywords:difficulty score, learning curve, laparoscopy, hepatectomy, intraoperative complications, surgical procedures
Publication status:Published
Publication version:Version of Record
Submitted for review:02.06.2021
Article acceptance date:16.07.2021
Publication date:06.09.2021
Publisher:Association of Radiology and Oncology
Year of publishing:2022
Number of pages:Str. 111-118
Numbering:Letn. 56, št. 1
PID:20.500.12556/DKUM-89605 New window
UDC:616.36-089
ISSN on article:1318-2099
COBISS.SI-ID:76566275 New window
DOI:10.2478/raon-2021-0035 New window
Publication date in DKUM:07.04.2025
Views:158
Downloads:262
Metadata:XML DC-XML DC-RDF
Categories:Misc.
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Record is a part of a journal

Title:Radiology and oncology
Shortened title:Radiol. oncol.
Publisher:Slovenian Medical Society - Section of Radiology, Croatian Medical Association - Croatian Society of Radiology
ISSN:1318-2099
COBISS.SI-ID:32649472 New window

Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:06.09.2021

Secondary language

Language:Slovenian
Keywords:ocena težavnosti, krivulja učenja, laparoskopija, hepatektomija, intraoperativni zapleti, kirurški postopki


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