Skin hyperpigmentation index: a new practical method for unbiased automated quantification of skin hyperpigmentation.

Skin hyperpigmentation is of great concern to people who suffer from it. It may be endogenous (when the pigments are formed within the body) or exogenous (when the pigments are applied externally, for example tattoos). The main endogenous pigments are melanin (e.g. melanocytic nevi, lentigines) and hemosiderin (dermite ocre). The activation of melanocytes, due to pregnancy hormones, sunlight or local inflammations, causes an increase in the melanin production. Hemosiderin deposition can be caused by an increased hydrostatic pressure (such as during chronic venous insufficiency), vasculitis of small skin vessels or vessel destruction (resulting from sclerotherapy, postsurgical haematoma formation and skin‐laser therapy).1, 2

Measurement of skin hyperpigmentation is clinically important in the assessment, follow‐up and therapy of hyperpigmented lesions. To date, there are no reliable objective methods for measuring skin hyperpigmentation quantitatively. Here, we report a novel, practical, unbiased and fully automated method of quantitively evaluating and documenting skin hyperpigmentation. The introduction of advanced digital image processing systems such as Image J (NIH, Bethesda, MD) has simplified the execution of complex operations using clinical imaging. We have developed a plugin for Image J (see [Link], [Link]), which was derived from the IHC profiler plugin3, 4 using colour deconvolution and image histogram profiling of brown pixel intensities for the automated evaluation of a quantitative skin pigmentation score (PS). The score ranges from 1 to 4 and is a result of the weighted combination of four intensity areas, as seen in the following formula:

1 means no hyperpigmentation, 4 means maximum hyperpigmentation. In order to normalize the assessment, we set up an important sun‐protected anatomical marker, the L4 spinous process, as the reference point. However, other sun‐protected reference points can also be selected in this method. The images are evaluated with the PS plugin. Clinical or dermoscopic photographs are taken from the hyperpigmented area of interest and the reference point in an identical imaging manner. Thereafter, the skin hyperpigmentation index (SHI) is computed as a ratio of the PS scores, as shown below. The SHI ranges from 1 (no hyperpigmentation) to 4 (maximum hyperpigmentation) (see example in Figs 1 and 2).

Figure 1

(a, b) Hyperpigmentation of the leg in a patient with chronic venous insufficiency, (c) Control image of a sun‐protected site on the lower back at the L4 level.

Figure 2

Dermoscopic images of selected areas from the hyperpigmented site on the distal lower leg (see circle in Figure 1b) and a control image from a sun‐protected site on the lower back at the L4 level (see circle in Figure 1c). Image analysis and comparison by Image J and the pigmentation score (PS) plugin. The PS plugin counted the pixels, calculated the percentage contributions, and then declared the score in the hyperpigmented area (a) as positive and in the reference area (b) as negative. To perform a quantitative comparison, the pigmentation score was calculated in figure (a) as 1.9675 and in figure (b) as 1.0215 (see formula in the main text). The skin hyperpigmentation index (SHI), a ratio of the PSs of the hyperpigmented and non‐hyperpigmented sun‐protected skin, was calculated as 1.93. All dermatoscopic pictures were taken by a Nikon D810 digital camera with Dermlite 3 dermoscopy lens.

In conclusion, this new automated digital imaging analysis offers new possibilities for further advances in objective clinical image analysis, by measuring the optical density proportional to the degree of hyperpigmentation. The disadvantage of only measuring the pigmentation score is that it can vary depending on skin type and photosetting. Therefore, the calculated SHI with reference image from the same patient with the same photosetting is necessary to make an objective measurement by reducing the possible confounding factors. Compared to other quantifying pigmentation grading systems, our method is examiner‐ and instrument‐independent and can also be applied to different skin types due to the index calculation.5, 6 Therefore, the application of our new SHI facilitates an unbiased quantification of skin hyperpigmentation. It could help clinicians quantify the extent of hyperpigmentation, which may be useful in assessing the lesions correctly, planning appropriate therapies (such as topical and laser therapies) and following up on the efficacy of these therapies.

Data S1. Skin Hyperpigmentation Score Plugin for ImageJ program (JAVA).

Click here for additional data file.

Data S2. Skin Hyperpigmentation Score Plugin for ImageJ program (text).

Click here for additional data file.