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Reliability and accuracy of wound surface
measurement using mobile technology
Dr. P.I. Sigam1
, Dr. M. Denz2
1
Student Master Studies in Public Health, Institut of Global Health,
University of Geneva, patricia.sigam@gmail.com
Campus Biotech, chemin des Mines 9, 1202 Genève, Switzerland
2
Swiss Association for Telemedicine and eHealth, martin.denz@me.com
Grubenweg 8, 4153 Reinach, Switzerland
Introduction
As the population ages and the chronic diseases raised, chronic wounds also
increase, creating a huge burden on the health system. In outpatient care, the
most common wound measurement technique remains the gradual ruler[1]
,
which is a simple and fast but relatively inaccurate method. Mobile phones
enable permanent access to a camera and the technology now integrates
image processing. A mobile application that takes reproducible and reliable
wound surface area measurements would help obtain useful indications on
the prognosis and effectiveness of applied treatment. This also enables
faster detection of complications and reduces healing time[2],[3],[4]
.
+WoundDesk®
is a mobile application that enables to take photographs,
define wound margins and make wound surface area measurements in a few
clicks.
Aim
The study aims to assess the reliability and accuracy of digital semi-
automated wound surface areas measurement using the mobile health
application +WoundDesk®
(version 0.06, digitalMedLab GmbH,
Technoparkstrasse 2, Winterthur, Switzerland) compared to digital
planimetry, which is one of the reference measurement methods[5]
.
Method
2
An experimental comparative non-randomized study has investigated the
validity and the repeatability of wound surface measurement. 30 wound
drawings were measured using two different methods, a) the mobile phone
application +WoundDesk and b) digital planimetry as the reference method.
The repeatability has been measured using the inter-rater and intra-rater
reliability. The accuracy was assessed using Pearson concordance
correlation and the standard error of measurement (SEM). To fully
appreciate the correlation between the 2 techniques, the graphical method of
Bland and Altman was used.
Fig. 1, Measurement plot for each of the
3 examiners according to surface area
Fig. 2, scatter-graph of correlation between
reference measure and +WoundDesk measures
(with r = Pearson coefficient).
Results
The intra-rater correlation was good with an ICC (Intraclass Correlation
Coefficient) at 0.99. Inter-rater correlation was also good with an ICC at
0.98. The Pearson correlation coefficient (r) was 0.99 (p <0.001). Compared
to the reference measurement, +WoundDesk measurements represent an
average overestimation of 13 % of the surface.
Discussion
Under the study conditions, the use of the mobile Health application
+WoundDesk®
for wound surface area measurement was reliable and
reproducible. With an intra- and inter-rater reliability values >0.98, the
technique used by the application is equivalent to other methods for which
an intra- and inter-rater reliability >0.96 is usually considered to be
3
excellent[5–8].
With a Pearson coefficient of 0.99, the linear correlation is also
good.
Intraclass
correlation
coefficient
(ICC)
Rater 1 Rater 2 Rater 3 Inter-rater
reliability
ICC single
measures
0.9988
(CI 0.9977-
0.9994)
0.9970
(CI 0.9945-
0.9985)
0.9939
(CI 0.985-
0.996)
0,9854
(CI 0,9741-
0,9924)
ICC average
measures
0.9996
(CI 0.9992-
0.9998)
0.9990
(CI 0.9982-
0.9995)
0.9980
(CI 0.9963-
0.9990)
0,9970
(CI 0,9947-
0,9985)
Table 1: intra-rater and inter-rater Intraclass Correlation Coefficientwith
Confidence Interval (CI)
Fig. 4 wounds drawings measured
during the study
Fig. 3 Bland-Altman graphical plot
comparing the real actual size with
the mobile application measures
However, the measurements made by the application shows an average
variation of 13% compared to reference measurement. This result is in line
with the literature; a variation of 21-28% is expected by photographic
wound measurements[8]
.
The mobile application uses the ellipse formula to estimate the wound
surface (0.785*height*width)[1,5]
. According to Shaw and al. the ellipse
formula used to measure wound surface areas causes an overestimation by
10-25%[9]
.
4
In our study, it appears that variations in surface measurement
(overestimation or underestimation) are closely related to wound shapes.
Indeed, the ellipse formula applied on rounded or oval wounds is relatively
accurate, as the variation does not exceed 5%. In contrast, the variation may
reach 25% for wounds of irregular or ellipsoid shape and 35% for large
rectangular wounds.
According to the Wound Healing Society's guidelines, "if ulcer does not
reduce by 40% or more after 4 weeks of therapy, re-evaluate and consider
other treatments"[10]
. Indeed, as described by Sheehan et al.[11]
, the percentage
of wound surface reduction to 4 weeks is a strong predictor of healing at 12
weeks. The retrospective study by van Rijswijk et al.[12]
shows that the
reduction of ulcer surface by 40% or more during the first 4 weeks is a
positive predictor for healing. It’s accepted that a 50% decrease in size after
6 weeks is a sensitive predictor (93% sensitivity) to complete healing at 12
weeks [4,8]
. As the consecutive measurements are compiled in the application
and available as a graphic, the mobile solution gives the care provider some
critical information about wound healing evolution and prognosis.
Limitation of the study
This is a first study being conducted on a relatively small sample of 30
wounds. They are flat artificial wounds with easily identifiable edges. In
practice, wounds are rarely flat. They are often on body curvature causing
additional error factor.
Conclusion
The wound surface measurements performed with the mobile phone
application +WoundDesk are reliable, repeatable and reproducible. The
accuracy is good for small irregular wounds, but decreases for large
rectangular wounds. Further studies with real wounds are needed to confirm
the first conclusion.
Conflict of interest: As one of the authors has developed the application,
there is a risk of partiality.
5
References
[1] Little C, McDonald J, Jenkins MG, McCarron P. An overview of techniques used to
measure wound area and volume, J Wound Care, 2009, vol. 18, pp 250–253
[2] Gethin G, Cowman S. Wound measurement comparing the use of acetate tracings and
Visitrak digital planimetry, J Clin Nurs, 2006, vol. 15, pp 422–427
[3] Flanagan M. Wound measurement: can it help us to monitor progression to healing? J
Wound Care, 2003, vol. 12, pp 189–194
[4] Flanagan M. Improving accuracy of wound measurement in clinical practice, Ostomy
Wound Manage, 2003, vol.49, pp. 28–40
[5] Goldman RJ, Salcido R. More than one way to measure a wound: an overview of tools
and techniques, Adv Skin Wound Care, 2002, vol.15, pp. 236–243
[6] Richard J louis. Reproducibility and Accuracy of a Novel Planimetry Program: Statistical
Methods, Wounds, 2000, vol.12
[7] Duckworth Mark, Patel Nirmal, Joshi Aditya, Lankton Shawn. A Clinically Affordable
Non-Contact Wound Measurement Device, Georgia Institute of Technology, 2007,
unpublished.
[8] Martin E. Wendelken, William T. Berg. Wounds Measured From Digital Photographs
Using Photo-digital Planimetry Software: Validation and Rater Reliability, Wounds,
2011, vol. 23, pp. 267-275
[9] Shaw J, Hughes CM, Lagan KM, Bell PM, Stevenson MR. An Evaluation of Three
Wound Measurement Techniques in Diabetic Foot Wounds, Diabetes Care, 2007, vol. 30,
pp. 2641–2642
[10] Michael G. Franz, Martin C. Robson, David L. Steed, Adrian Barbul, Harold Brem,
Diane M. Cooper, David Leaper, Stephen M. Milner, et al. Guidelines to aid healing of
acute wounds by decreasing impediments of healing, Wound Repair Regen, 2008, vol.16,
pp. 723–748
[11] Sheehan P, Jones P, Caselli A, Giurini JM, Veves A. Percent change in wound area of
diabetic foot ulcers over a 4-week period is a robust predictor of complete healing in a
12-week prospective trial, Diabetes Care 2003, vol. 26, pp. 1879–1882
[12] Van Rijswijk L. Full-thickness leg ulcers: patient demographics and predictors of healing.
Multi-Center Leg Ulcer Study Group, J Fam Pract, 1993, vol.36, pp. 625–632.

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Reliability and accuracy of wound surface area measurement using the mobile technology

  • 1. 1 Reliability and accuracy of wound surface measurement using mobile technology Dr. P.I. Sigam1 , Dr. M. Denz2 1 Student Master Studies in Public Health, Institut of Global Health, University of Geneva, patricia.sigam@gmail.com Campus Biotech, chemin des Mines 9, 1202 Genève, Switzerland 2 Swiss Association for Telemedicine and eHealth, martin.denz@me.com Grubenweg 8, 4153 Reinach, Switzerland Introduction As the population ages and the chronic diseases raised, chronic wounds also increase, creating a huge burden on the health system. In outpatient care, the most common wound measurement technique remains the gradual ruler[1] , which is a simple and fast but relatively inaccurate method. Mobile phones enable permanent access to a camera and the technology now integrates image processing. A mobile application that takes reproducible and reliable wound surface area measurements would help obtain useful indications on the prognosis and effectiveness of applied treatment. This also enables faster detection of complications and reduces healing time[2],[3],[4] . +WoundDesk® is a mobile application that enables to take photographs, define wound margins and make wound surface area measurements in a few clicks. Aim The study aims to assess the reliability and accuracy of digital semi- automated wound surface areas measurement using the mobile health application +WoundDesk® (version 0.06, digitalMedLab GmbH, Technoparkstrasse 2, Winterthur, Switzerland) compared to digital planimetry, which is one of the reference measurement methods[5] . Method
  • 2. 2 An experimental comparative non-randomized study has investigated the validity and the repeatability of wound surface measurement. 30 wound drawings were measured using two different methods, a) the mobile phone application +WoundDesk and b) digital planimetry as the reference method. The repeatability has been measured using the inter-rater and intra-rater reliability. The accuracy was assessed using Pearson concordance correlation and the standard error of measurement (SEM). To fully appreciate the correlation between the 2 techniques, the graphical method of Bland and Altman was used. Fig. 1, Measurement plot for each of the 3 examiners according to surface area Fig. 2, scatter-graph of correlation between reference measure and +WoundDesk measures (with r = Pearson coefficient). Results The intra-rater correlation was good with an ICC (Intraclass Correlation Coefficient) at 0.99. Inter-rater correlation was also good with an ICC at 0.98. The Pearson correlation coefficient (r) was 0.99 (p <0.001). Compared to the reference measurement, +WoundDesk measurements represent an average overestimation of 13 % of the surface. Discussion Under the study conditions, the use of the mobile Health application +WoundDesk® for wound surface area measurement was reliable and reproducible. With an intra- and inter-rater reliability values >0.98, the technique used by the application is equivalent to other methods for which an intra- and inter-rater reliability >0.96 is usually considered to be
  • 3. 3 excellent[5–8]. With a Pearson coefficient of 0.99, the linear correlation is also good. Intraclass correlation coefficient (ICC) Rater 1 Rater 2 Rater 3 Inter-rater reliability ICC single measures 0.9988 (CI 0.9977- 0.9994) 0.9970 (CI 0.9945- 0.9985) 0.9939 (CI 0.985- 0.996) 0,9854 (CI 0,9741- 0,9924) ICC average measures 0.9996 (CI 0.9992- 0.9998) 0.9990 (CI 0.9982- 0.9995) 0.9980 (CI 0.9963- 0.9990) 0,9970 (CI 0,9947- 0,9985) Table 1: intra-rater and inter-rater Intraclass Correlation Coefficientwith Confidence Interval (CI) Fig. 4 wounds drawings measured during the study Fig. 3 Bland-Altman graphical plot comparing the real actual size with the mobile application measures However, the measurements made by the application shows an average variation of 13% compared to reference measurement. This result is in line with the literature; a variation of 21-28% is expected by photographic wound measurements[8] . The mobile application uses the ellipse formula to estimate the wound surface (0.785*height*width)[1,5] . According to Shaw and al. the ellipse formula used to measure wound surface areas causes an overestimation by 10-25%[9] .
  • 4. 4 In our study, it appears that variations in surface measurement (overestimation or underestimation) are closely related to wound shapes. Indeed, the ellipse formula applied on rounded or oval wounds is relatively accurate, as the variation does not exceed 5%. In contrast, the variation may reach 25% for wounds of irregular or ellipsoid shape and 35% for large rectangular wounds. According to the Wound Healing Society's guidelines, "if ulcer does not reduce by 40% or more after 4 weeks of therapy, re-evaluate and consider other treatments"[10] . Indeed, as described by Sheehan et al.[11] , the percentage of wound surface reduction to 4 weeks is a strong predictor of healing at 12 weeks. The retrospective study by van Rijswijk et al.[12] shows that the reduction of ulcer surface by 40% or more during the first 4 weeks is a positive predictor for healing. It’s accepted that a 50% decrease in size after 6 weeks is a sensitive predictor (93% sensitivity) to complete healing at 12 weeks [4,8] . As the consecutive measurements are compiled in the application and available as a graphic, the mobile solution gives the care provider some critical information about wound healing evolution and prognosis. Limitation of the study This is a first study being conducted on a relatively small sample of 30 wounds. They are flat artificial wounds with easily identifiable edges. In practice, wounds are rarely flat. They are often on body curvature causing additional error factor. Conclusion The wound surface measurements performed with the mobile phone application +WoundDesk are reliable, repeatable and reproducible. The accuracy is good for small irregular wounds, but decreases for large rectangular wounds. Further studies with real wounds are needed to confirm the first conclusion. Conflict of interest: As one of the authors has developed the application, there is a risk of partiality.
  • 5. 5 References [1] Little C, McDonald J, Jenkins MG, McCarron P. An overview of techniques used to measure wound area and volume, J Wound Care, 2009, vol. 18, pp 250–253 [2] Gethin G, Cowman S. Wound measurement comparing the use of acetate tracings and Visitrak digital planimetry, J Clin Nurs, 2006, vol. 15, pp 422–427 [3] Flanagan M. Wound measurement: can it help us to monitor progression to healing? J Wound Care, 2003, vol. 12, pp 189–194 [4] Flanagan M. Improving accuracy of wound measurement in clinical practice, Ostomy Wound Manage, 2003, vol.49, pp. 28–40 [5] Goldman RJ, Salcido R. More than one way to measure a wound: an overview of tools and techniques, Adv Skin Wound Care, 2002, vol.15, pp. 236–243 [6] Richard J louis. Reproducibility and Accuracy of a Novel Planimetry Program: Statistical Methods, Wounds, 2000, vol.12 [7] Duckworth Mark, Patel Nirmal, Joshi Aditya, Lankton Shawn. A Clinically Affordable Non-Contact Wound Measurement Device, Georgia Institute of Technology, 2007, unpublished. [8] Martin E. Wendelken, William T. Berg. Wounds Measured From Digital Photographs Using Photo-digital Planimetry Software: Validation and Rater Reliability, Wounds, 2011, vol. 23, pp. 267-275 [9] Shaw J, Hughes CM, Lagan KM, Bell PM, Stevenson MR. An Evaluation of Three Wound Measurement Techniques in Diabetic Foot Wounds, Diabetes Care, 2007, vol. 30, pp. 2641–2642 [10] Michael G. Franz, Martin C. Robson, David L. Steed, Adrian Barbul, Harold Brem, Diane M. Cooper, David Leaper, Stephen M. Milner, et al. Guidelines to aid healing of acute wounds by decreasing impediments of healing, Wound Repair Regen, 2008, vol.16, pp. 723–748 [11] Sheehan P, Jones P, Caselli A, Giurini JM, Veves A. Percent change in wound area of diabetic foot ulcers over a 4-week period is a robust predictor of complete healing in a 12-week prospective trial, Diabetes Care 2003, vol. 26, pp. 1879–1882 [12] Van Rijswijk L. Full-thickness leg ulcers: patient demographics and predictors of healing. Multi-Center Leg Ulcer Study Group, J Fam Pract, 1993, vol.36, pp. 625–632.