A computerised test of perceptual ability for learning endoscopic and laparoscopic surgery and other image guided procedures

Score norms for PicSOr

Patrick Henn, Anthony G. Gallagher, Emmeline Nugent, Roddy Cowie, Neal E. Seymour, Randy Haluck, Hazem Hseino, Oscar Traynor, Paul C. Neary

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Background: The aptitude to infer the shape of 3-D structures, such as internal organs from 2-D monitor displays, in image guided endoscopic and laparoscopic procedures varies. We sought both to validate a computer-generated task Pictorial Surface Orientation (PicSOr), which assesses this aptitude, and to identify norm referenced scores. Methods: 400 subjects (339 surgeons and 61 controls) completed the PicSOr test. 50 subjects completed it again one year afterwards. Results: Complete data was available on 396 of 400 subjects (99%). PicSOr demonstrated high test and re-test reliability (r = 0.807, p < 0.000). Surgeons performed better than controls' (surgeons = 0.874 V controls = 0.747, p < 0.000). Some surgeons (n = 22–5.5%) performed atypically on the test. Conclusions: PicSOr has population distribution scores that are negatively skewed. PicSOr quantitatively characterises an aptitude strongly correlated to the learning and performance of image guided medical tasks. Most can do the PicSOr task almost perfectly, but a substantial minority do so atypically, and this is probably relevant to learning and performing endoscopic tasks.

Original languageEnglish (US)
Pages (from-to)969-973
Number of pages5
JournalAmerican Journal of Surgery
Volume214
Issue number5
DOIs
StatePublished - Nov 1 2017

Fingerprint

Aptitude
Laparoscopy
Learning
Demography
Surgeons

All Science Journal Classification (ASJC) codes

  • Surgery

Cite this

Henn, Patrick ; Gallagher, Anthony G. ; Nugent, Emmeline ; Cowie, Roddy ; Seymour, Neal E. ; Haluck, Randy ; Hseino, Hazem ; Traynor, Oscar ; Neary, Paul C. / A computerised test of perceptual ability for learning endoscopic and laparoscopic surgery and other image guided procedures : Score norms for PicSOr. In: American Journal of Surgery. 2017 ; Vol. 214, No. 5. pp. 969-973.
@article{b566faae690741a3b79267064d45dba3,
title = "A computerised test of perceptual ability for learning endoscopic and laparoscopic surgery and other image guided procedures: Score norms for PicSOr",
abstract = "Background: The aptitude to infer the shape of 3-D structures, such as internal organs from 2-D monitor displays, in image guided endoscopic and laparoscopic procedures varies. We sought both to validate a computer-generated task Pictorial Surface Orientation (PicSOr), which assesses this aptitude, and to identify norm referenced scores. Methods: 400 subjects (339 surgeons and 61 controls) completed the PicSOr test. 50 subjects completed it again one year afterwards. Results: Complete data was available on 396 of 400 subjects (99{\%}). PicSOr demonstrated high test and re-test reliability (r = 0.807, p < 0.000). Surgeons performed better than controls' (surgeons = 0.874 V controls = 0.747, p < 0.000). Some surgeons (n = 22–5.5{\%}) performed atypically on the test. Conclusions: PicSOr has population distribution scores that are negatively skewed. PicSOr quantitatively characterises an aptitude strongly correlated to the learning and performance of image guided medical tasks. Most can do the PicSOr task almost perfectly, but a substantial minority do so atypically, and this is probably relevant to learning and performing endoscopic tasks.",
author = "Patrick Henn and Gallagher, {Anthony G.} and Emmeline Nugent and Roddy Cowie and Seymour, {Neal E.} and Randy Haluck and Hazem Hseino and Oscar Traynor and Neary, {Paul C.}",
year = "2017",
month = "11",
day = "1",
doi = "10.1016/j.amjsurg.2017.01.025",
language = "English (US)",
volume = "214",
pages = "969--973",
journal = "American Journal of Surgery",
issn = "0002-9610",
publisher = "Elsevier Inc.",
number = "5",

}

A computerised test of perceptual ability for learning endoscopic and laparoscopic surgery and other image guided procedures : Score norms for PicSOr. / Henn, Patrick; Gallagher, Anthony G.; Nugent, Emmeline; Cowie, Roddy; Seymour, Neal E.; Haluck, Randy; Hseino, Hazem; Traynor, Oscar; Neary, Paul C.

In: American Journal of Surgery, Vol. 214, No. 5, 01.11.2017, p. 969-973.

Research output: Contribution to journalArticle

TY - JOUR

T1 - A computerised test of perceptual ability for learning endoscopic and laparoscopic surgery and other image guided procedures

T2 - Score norms for PicSOr

AU - Henn, Patrick

AU - Gallagher, Anthony G.

AU - Nugent, Emmeline

AU - Cowie, Roddy

AU - Seymour, Neal E.

AU - Haluck, Randy

AU - Hseino, Hazem

AU - Traynor, Oscar

AU - Neary, Paul C.

PY - 2017/11/1

Y1 - 2017/11/1

N2 - Background: The aptitude to infer the shape of 3-D structures, such as internal organs from 2-D monitor displays, in image guided endoscopic and laparoscopic procedures varies. We sought both to validate a computer-generated task Pictorial Surface Orientation (PicSOr), which assesses this aptitude, and to identify norm referenced scores. Methods: 400 subjects (339 surgeons and 61 controls) completed the PicSOr test. 50 subjects completed it again one year afterwards. Results: Complete data was available on 396 of 400 subjects (99%). PicSOr demonstrated high test and re-test reliability (r = 0.807, p < 0.000). Surgeons performed better than controls' (surgeons = 0.874 V controls = 0.747, p < 0.000). Some surgeons (n = 22–5.5%) performed atypically on the test. Conclusions: PicSOr has population distribution scores that are negatively skewed. PicSOr quantitatively characterises an aptitude strongly correlated to the learning and performance of image guided medical tasks. Most can do the PicSOr task almost perfectly, but a substantial minority do so atypically, and this is probably relevant to learning and performing endoscopic tasks.

AB - Background: The aptitude to infer the shape of 3-D structures, such as internal organs from 2-D monitor displays, in image guided endoscopic and laparoscopic procedures varies. We sought both to validate a computer-generated task Pictorial Surface Orientation (PicSOr), which assesses this aptitude, and to identify norm referenced scores. Methods: 400 subjects (339 surgeons and 61 controls) completed the PicSOr test. 50 subjects completed it again one year afterwards. Results: Complete data was available on 396 of 400 subjects (99%). PicSOr demonstrated high test and re-test reliability (r = 0.807, p < 0.000). Surgeons performed better than controls' (surgeons = 0.874 V controls = 0.747, p < 0.000). Some surgeons (n = 22–5.5%) performed atypically on the test. Conclusions: PicSOr has population distribution scores that are negatively skewed. PicSOr quantitatively characterises an aptitude strongly correlated to the learning and performance of image guided medical tasks. Most can do the PicSOr task almost perfectly, but a substantial minority do so atypically, and this is probably relevant to learning and performing endoscopic tasks.

UR - http://www.scopus.com/inward/record.url?scp=85013066321&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85013066321&partnerID=8YFLogxK

U2 - 10.1016/j.amjsurg.2017.01.025

DO - 10.1016/j.amjsurg.2017.01.025

M3 - Article

VL - 214

SP - 969

EP - 973

JO - American Journal of Surgery

JF - American Journal of Surgery

SN - 0002-9610

IS - 5

ER -