Holmen, SigveGalappaththi-ArachchigeHashini NilushikaKleppa, ElisabethPillay, PavitraNaicker, ThajasvarieTaylor, MyraOnsrud, MathiasKjetland, Eyrun FloereckeAlbregtsen, Fritz2018-05-222018-05-222016-04-13Holmen, S. et al. 2016. Characteristics of blood vessels in female genital schistosomiasis : paving the way for objective diagnostics at the point of care. PLOS Neglected Tropical Diseases. 10(4): 1-16. doi:10.1371/journal.pntd.00046281935-2727 (print)1935-2735 (online)http://hdl.handle.net/10321/2978Abstract Background The mucosal changes associated with female genital schistosomiasis (FGS) encompass abnormal blood vessels. These have been described as circular, reticular, branched, convoluted and having uneven calibre. However, these characteristics are subjective descriptions and it has not been explored which of them are specific to FGS. Methods In colposcopic images of young women from a schistosomiasis endemic area, we performed computerised morphologic analyses of the cervical vasculature appearing on the mucosal surface. Study participants where the cervix was classified as normal served as negative controls, women with clinically diagnosed FGS and presence of typical abnormal blood vessels visible on the cervical surface served as positive cases. We also included women with cervical inflammatory conditions for reasons other than schistosomiasis. By automating morphological analyses, we explored circular configurations, vascular density, fractal dimensions and fractal lacunarity as parameters of interest. Results We found that the blood vessels typical of FGS are characterised by the presence of circular configurations (p < 0.001), increased vascular density (p = 0.015) and increased local connected fractal dimensions (p = 0.071). Using these features, we were able to correctly classify 78% of the FGS-positive cases with an accuracy of 80%. Conclusions The blood vessels typical of FGS have circular configurations, increased vascular density and increased local connected fractal dimensions. These specific morphological features could be used diagnostically. Combined with colourimetric analyses, this represents a step towards making a diagnostic tool for FGS based on computerised image analysis.16 penArticle10.1371/journal.pntd.0004628