The clinical value of intelligent wound measurement devices in patients with chronic wounds: A scoping review

Chronic wounds are common in clinical practice, with long treatment cycle and high treatment cost. Changes in wound area can well predict the effectiveness of treatment and the possibility of healing. Therefore, continuous wound monitoring and evaluation are particularly important. Traditional manual wound measurement tends to overestimate wound area. Recently, various intelligent wound measurement devices have been introduced into clinical practice. This review aims to summarise the reliability, validity, types and measurement principles of different intelligent wound measurement devices, so as to analyse the clinical value and application prospect. Articles numbering 2610 were retrieved from the database, and 14 articles met the inclusion criteria. The results showed that the intelligent wound measurement devices included in the study reported good reliability and validity. Contact devices can lead to wound bed damage, wound deformation, patient pain, and is not convenient for electronic wound recording; partial contact devices can complete continuous monitoring and recording of wounds, but are not sensitive to wound depth measurement. Non-contact devices are more accurate in capturing wound images. In addition to wound measurement, they also have the function of wound assessment. In general, handheld and portable non-contact devices have great clinical value and promotion prospects.

Image-Based Artificial Intelligence in Wound Assessment: A Systematic Review

Significance: Accurately predicting wound healing trajectories is difficult for wound care clinicians due to the complex and dynamic processes involved in wound healing. Wound care teams capture images of wounds during clinical visits generating big datasets over time. Developing novel artificial intelligence (AI) systems can help clinicians diagnose, assess the effectiveness of therapy, and predict healing outcomes. Recent Advances: Rapid developments in computer processing have enabled the development of AI-based systems that can improve the diagnosis and effectiveness of therapy in various clinical specializations. In the past decade, we have witnessed AI revolutionizing all types of medical imaging like X-ray, ultrasound, computed tomography, magnetic resonance imaging, etc., but AI-based systems remain to be developed clinically and computationally for high-quality wound care that can result in better patient outcomes. Critical Issues: In the current standard of care, collecting wound images on every clinical visit, interpreting and archiving the data are cumbersome and time consuming. Commercial platforms are developed to capture images, perform wound measurements, and provide clinicians with a workflow for diagnosis, but AI-based systems are still in their infancy. This systematic review summarizes the breadth and depth of the most recent and relevant work in intelligent image-based data analysis and system developments for wound assessment. Future Directions: With increasing availabilities of massive data (wound images, wound-specific electronic health records, etc.) as well as powerful computing resources, AI-based digital platforms will play a significant role in delivering data-driven care to people suffering from debilitating chronic wounds.

Reliability of a Three-Dimensional Wound Camera and Correlation With Routine Ruler Measurement in Diabetes-Related Foot Ulceration

BACKGROUND

In an era of increasing technology and telehealth utilization, three-dimensional (3D) wound cameras promise reliable, rapid, and touch-free ulceration measurements. However, reliability data for commercially available devices in the diabetes foot service setting is lacking. We aimed to evaluate the reliability of diabetes-related foot ulceration measurement using a 3D wound camera in comparison to the routinely used ruler and probe.

METHOD

Participants were prospectively recruited from a tertiary interdisciplinary diabetes foot service. Ulcerations were measured at each visit by two blinded observers, first by ruler and probe, and then using a 3D wound camera twice. Reliability was evaluated using intraclass correlation coefficients (ICC). Measurement methods were compared by Pearson correlation.

RESULTS

Sixty-three ulcerations affecting 38 participants were measured over 122 visits. Interobserver reliability of ruler measurement was excellent for estimated area (ICC 0.98, 95% CI 0.97-0.98) and depth (ICC 0.93, 95% CI 0.90-0.95). Intraobserver and interobserver reliability of the 3D wound camera area was excellent (ICC 0.96, 95%CI 0.95-0.97 and 0.97 95% CI 0.96-0.98, respectively). Depth was unrecordable in over half of 3D wound camera measurements, and reliability was inferior to probe measurement. Area correlation between methods was good (R = 0.88 and 0.94 per observer); however, depth correlation was poor (R = 0.49 and 0.65).

CONCLUSIONS

3D wound cameras offer practical advantages over ruler-based measurement. In diabetes-related foot ulceration, the reliability and comparability of area measurement was excellent across both methods, although depth was more reliably obtained by the probe. These limitations, together with cost, are important considerations if implementing this technology in diabetes foot care.

Evaluation of three different techniques for measuring wound area in diabetic foot ulcers: a reproducibility study

OBJECTIVE

Wound surface area can be measured with several assessment tools, including a manual planimetric method, ImageJ software and three-dimensional wound measurement (3DWM) methods. This study aimed to determine the advantages of each method as well as the concordance between them.

METHOD

This reproducibility study included adult patient volunteers with diabetic foot ulcers (DFUs). Wounds with ambiguous borders were excluded. All included wounds were sequentially assessed with each of the three measurement methods, and the time for each measurement was recorded with a chronometer. SPSS and MedCalc package software were used for all statistical analyses.

RESULTS

A total of 20 patients with 20 DFUs took part in the study. According to the measurement method, the average wound area was 6.41cm² by the manual planimetric method, 6.53cm² by ImageJ and 6.32cm² by 3DWM. Correlation analyses revealed correlation coefficients of 0.997 between the manual planimetric method and ImageJ, 0.929 between the manual planimetric method and 3DWM, and 0.929 between ImageJ and 3DWM. Bland-Altman analysis was used to determine whether these three measurement methods could be used interchangeably. There was no significant difference between the three measurement methods and, therefore, it was concluded that they could be used interchangeably. Wound area measurement times were 173.35±19.38 seconds by the manual planimetric method, 61.60±9.21 seconds by ImageJ and 36.90±6.91 seconds by the 3DWM method.

CONCLUSION

The three measurement methods studied can be used interchangeably, as each method is highly concordant with the other two. The fastest method was 3DWM and the manual planimetric method was the slowest.

Clinical Benefits of Using a Smartphone Application to Assess the Wound Healing Process in a Feline Patient - A Case Report

The aim of this paper was to determine whether digital imagery can be employed in veterinary medicine to measure and analyze wound healing dynamics. A smartphone application (ImitoMeasure) was used to capture, measure, and analyze the metatarsal wound images in a cat patient. The smartphone app was used to evaluate the wound area, width, length, and circumference at the time of topical treatments. Further analysis of the measurements taken by the ImitoMeasure app revealed significant correlations among all analyzed parameters. The day of treatment was inversely correlated with all the parameters of the wound, showing the healing progress over time. Also, the width was the most influential parameter (P ≤ .05) when assessing wound area. Thus, the app provided a noncontact, easy to use, and accurate smart wound measurement solution. Additionally, this case report describes the treatment of a cat with a severe chronic metatarsal wound and extensive soft tissue loss using a commercially available silver calcium alginate dressing (Askina Calgitrol Ag, B. Braun). The dressing was changed every 2 days, in the first week of treatment, and then every 3 days until the cat was discharged, 21 days later. Granulation tissue formed rapidly, from the fourth day of treatment and continued to expand in the entire wound bed; epithelization process started since the 16th day of treatment and mature scar tissue could be observed 21 days postinjury.

Use of a bacterial fluorescence imaging device: wound measurement, bacterial detection and targeted debridement

OBJECTIVE

Diagnostics which provide objective information to facilitate evidence-based treatment decisions could improve the chance of wound healing. Accurate wound measurements, objective bacterial assessment, and the regular, consistent tracking of these parameters are important aspects of wound care. This study aimed to assess the accuracy, clinical incorporation and documentation capabilities of a handheld bacterial fluorescence imaging device (MolecuLight i:X).

METHOD

Benchtop wound models with known dimensions and clinical wound images were repeatedly measured by trained clinicians to quantify accuracy and intra/inter-user coefficients of variation (COV) of the imaging device measurement software. In a clinical trial of 50 wounds, wound dimensions were digitally measured and fluorescence images were acquired to assess for the presence of bacteria at moderate-to-heavy loads. Finally, fluorescence imaging was implemented into the routine assessment of 22 routine diabetic foot ulcers (DFU) to determine appropriate debridement level and location based on bacterial fluorescence signals.

RESULTS

Wound measurement accuracy was >95% (COV <3%). In the clinical trial of 50 wounds, 72% of study wounds demonstrated positive bacterial fluorescence signals. Levine sampling of wounds was found to under-report bacterial loads relative to fluorescence-guided curettage samples. Furthermore, fluorescence documentation of bacterial presence and location(s) resulted in more aggressive, fluorescence-targeted debridement in 17/20 DFUs after standard of care debridement failed to eliminate bacterial fluorescence in 100% of DFU debridements.

CONCLUSION

The bacterial fluorescence imaging device can be readily implemented for objective, evidenced-based wound assessment and documentation at the bedside. Bedside localisation of regions with moderate-to-heavy bacterial loads facilitated improved sampling, debridement targeting and improved wound bed preparation.

ImageJ: A Free, Easy, and Reliable Method to Measure Leg Ulcers Using Digital Pictures

Wound measurement to document the healing course of chronic leg ulcers has an important role in the management of these patients. Digital cameras in smartphones are readily available and easy to use, and taking pictures of wounds is becoming a routine in specialized departments. Analyzing digital pictures with appropriate software provides clinicians a quick, clean, and easy-to-use tool for measuring wound area. A set of 25 digital pictures of plain foot and leg ulcers was the basis of this study. Photographs were taken placing a ruler next to the wound in parallel with the healthy skin with the iPhone 6S (Apple Inc, Cupertino, CA), which has a camera of 12 megapixels using the flash. The digital photographs were visualized with ImageJ 1.45s freeware (National Institutes of Health, Rockville, MD; http://imagej.net/ImageJ ). Wound area measurement was carried out by 4 raters: head of the department, wound care nurse, physician, and medical student. We assessed intra- and interrater reliability using the interclass correlation coefficient. To determine intraobserver reliability, 2 of the raters repeated the measurement of the set 1 week after the first reading. The interrater model displayed an interclass correlation coefficient of 0.99 with 95% confidence interval of 0.999 to 1.000, showing excellent reliability. The intrarater model of both examiners showed excellent reliability. In conclusion, analyzing digital images of leg ulcers with ImageJ estimates wound area with excellent reliability. This method provides a free, rapid, and accurate way to measure wounds and could routinely be used to document wound healing in daily clinical practice.

Validation of a laser-assisted wound measurement device for measuring wound volume

BACKGROUND

Accurate and precise wound measurement is an essential part of the medical record when monitoring a patient with a chronic wound. This study was designed to determine if a new device, a laser-assisted wound measurement (LAWM) device, provides valid measurements for wound area, depth, and volume.

METHODS

We compared four methods to evaluate the area and volume of 12 wounds of differing size and depth that were created on the dorsum of a sacrificed pig. We evaluated the LAWM device, digital photograph assessment with National Institutes of Health ImageJ software, measurements of depth with a ruler, and weight-to-volume assessment with dental paste. We then sought to cross validate this data with further analyses obtained from these measurements using a Play-Doh®-based wound as a model for constant area with different depths.

RESULTS

We demonstrate that the LAWM device measures wound area accurately. Depth (and therefore volume) measurements, however, are artificially low. This inaccuracy is the same for shallow and deep wounds.

CONCLUSIONS

The inaccuracy in the depth and volume measurements with the LAWM device results in an artificially low measurement. However, this may not affect percentage difference measurements. Further studies will need to be performed to determine if this device can accurately determine wound changes in the clinical setting.

A novel and accurate technique of photographic wound measurement

Context:

Wound measurement is an important aspect of wound management. Though there are many techniques to measure wounds, most of them are either cumbersome or too expensive.

Aims:

To introduce a simple and accurate technique by which wounds can be accurately measured.

Settings and Design:

This is a comparative study of 10 patients whose wounds were measured by three techniques, i.e. ruler, graph and our technique.

Materials and Methods:

The graph method was taken as the control measurement. The extent of deviation in wound measurements with our method was compared with the standard technique. The statistical analysis used was ANOVA.

Results:

The ruler method was highly inaccurate and overestimated the wound size by nearly 50%. Our technique remained consistent and accurate with the percentage of over or underestimation being 2-4% in comparison with the graph method.

Conclusions:

This technique is simple and accurate and is an inexpensive and non-invasive method to accurately measure wounds.

Digital planimetry results in more accurate wound measurements: a comparison to standard ruler measurements

BACKGROUND

Cutaneous wound measurements are important to track the healing of a wound and direct appropriate therapy. The most commonly used method to calculate wound area is an estimation by multiplying the longest length by the widest width. Other devices can provide an accurate and precise measurement of the true area (TA). This study aim was to compare wound areas calculated by computerized planimetry with standard area estimation by multiplying the longest length by the widest width (l x w).

METHODS

We reviewed the wound records of 10 patients with circular or oval wounds and estimated the area with the l x w method. We compared this with the TA obtained by a specialized planimetric camera.

RESULTS

Average wound size was 4.3 cm(2) by l x w estimation and 3 cm(2) by TA calculation. We found the l x w method overestimated wound area an average of 41%.

CONCLUSIONS

Standard, manual (l x w) measurement of cutaneous wounds inaccurately overestimates wound area by roughly 40%.