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Case Reports
. 2018 Oct;53(10):1356-1358.
doi: 10.1038/s41409-018-0211-8. Epub 2018 May 8.

Overcoming human disagreement assessing erythematous lesion severity on 3D photos of chronic graft-versus-host disease

Eric R Tkaczyk  1   2   3 , Fuyao Chen  4   5 , Jianing Wang  6 , Jocelyn S Gandelman  7 , Inga Saknite  4 , Laura E Dellalana  4 , Madan H Jagasia  7 , Benoit M Dawant  5   6
Affiliations
Case Reports

Overcoming human disagreement assessing erythematous lesion severity on 3D photos of chronic graft-versus-host disease

Eric R Tkaczyk et al. Bone Marrow Transplant. 2018 Oct.
No abstract available

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Conflict of interest statement

Conflict of interest disclosures: None

Competing Interests

There is no competing financial interests in relation to the work described.

Figures

Figure 1.
Figure 1.
Example of 3D images, rater selections of erythematous area, and estimation of lesion produced by image processing, with corresponding average a*, area, and total redness (total a*).
Figure 2.
Figure 2.
a) Time evolution of size of erythematous area selected by six humans exhibited poor reproducibility (ICC=0.09, range: 0.00, 0.44). b) Total redness from the selections exhibited high reproducibility (ICC=0.85, range: 0.59, 0.97). c) Total redness normalized to day 0 (baseline) is shown for both individual humans (red dots) and algorithm with different thresholds (black dots – a* thresholds of 2.0, 2.9, 3.9, 5.0, 6.3, 8.0, 10.4, 14.6, corresponding to the 60th, 65th, 70th, 75th, 80th, 85th, 90th, 95th percentiles, respectively). No statistically significant difference is present between the average human (red line) and algorithm (black line) data (p=0.81). Treatments are shown by the colored boxes. Error bars in all panels represent standard deviations.
See this image and copyright information in PMC

References

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