Learning curve and interobserver variance in quantification of the optical coherence tomography attenuation coefficient

Ronni Wessels; Daniel Martijn de Bruin; Dirk J. Faber; Joyce Sanders; Andrew D. Vincent; Marc van Beurden; Ton G. van Leeuwen; Theo J.M. Ruers

doi:10.1117/1.JBO.20.12.121313

Learning curve and interobserver variance in quantification of the optical coherence tomography attenuation coefficient

Ronni Wessels^*, Daniel Martijn de Bruin, Dirk J. Faber, Joyce Sanders, Andrew D. Vincent, Marc van Beurden, Ton G. van Leeuwen, Theo J.M. Ruers

^*Corresponding author for this work

Nanobiophysics

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

The learning curve and interobserver variance of attenuation coefficient (μOCT) determination from optical coherence tomography (OCT) images were quantified. The μOCT of normal and diseased vulvar tissues was determined at five time points by three novice students and three OCT experts who reached consensus for reference. Students received feedback between time points. Eventually, variance in μOCT was smaller in images of diseased tissue than in images of normal vulvar tissue. The difference between the consensus and student μOCT values was larger for smaller values of μOCT. We conclude that routine μOCT determination for tissue classification does not require extensive training.

Original language	English
Article number	121313
Journal	Journal of biomedical optics
Volume	20
Issue number	12
DOIs	https://doi.org/10.1117/1.JBO.20.12.121313
Publication status	Published - 1 Dec 2015

Keywords

Imaging
Learning curve
Observer variability
Optical Coherence Tomography (OCT)
n/a OA procedure

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10.1117/1.JBO.20.12.121313

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title = "Learning curve and interobserver variance in quantification of the optical coherence tomography attenuation coefficient",

abstract = "The learning curve and interobserver variance of attenuation coefficient (μOCT) determination from optical coherence tomography (OCT) images were quantified. The μOCT of normal and diseased vulvar tissues was determined at five time points by three novice students and three OCT experts who reached consensus for reference. Students received feedback between time points. Eventually, variance in μOCT was smaller in images of diseased tissue than in images of normal vulvar tissue. The difference between the consensus and student μOCT values was larger for smaller values of μOCT. We conclude that routine μOCT determination for tissue classification does not require extensive training.",

keywords = "Imaging, Learning curve, Observer variability, Optical Coherence Tomography (OCT), n/a OA procedure",

author = "Ronni Wessels and {de Bruin}, {Daniel Martijn} and Faber, {Dirk J.} and Joyce Sanders and Vincent, {Andrew D.} and {van Beurden}, Marc and {van Leeuwen}, {Ton G.} and Ruers, {Theo J.M.}",

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AU - Wessels, Ronni

AU - de Bruin, Daniel Martijn

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AU - Sanders, Joyce

AU - Vincent, Andrew D.

AU - van Beurden, Marc

AU - van Leeuwen, Ton G.

AU - Ruers, Theo J.M.

PY - 2015/12/1

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AB - The learning curve and interobserver variance of attenuation coefficient (μOCT) determination from optical coherence tomography (OCT) images were quantified. The μOCT of normal and diseased vulvar tissues was determined at five time points by three novice students and three OCT experts who reached consensus for reference. Students received feedback between time points. Eventually, variance in μOCT was smaller in images of diseased tissue than in images of normal vulvar tissue. The difference between the consensus and student μOCT values was larger for smaller values of μOCT. We conclude that routine μOCT determination for tissue classification does not require extensive training.

KW - Imaging

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KW - Observer variability

KW - Optical Coherence Tomography (OCT)

KW - n/a OA procedure

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JO - Journal of biomedical optics

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Learning curve and interobserver variance in quantification of the optical coherence tomography attenuation coefficient

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Keywords

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