The first step toward diagnosing female genital schistosomiasis by computer image analysis
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The first step toward diagnosing female genital schistosomiasis by computer image analysis. / Holmen, Sigve Dhondup; Kleppa, Elisabeth; Lillebø, Kristine; Pillay, Pavitra; van Lieshout, Lisette; Taylor, Myra; Albregtsen, Fritz; Vennervald, Birgitte J; Onsrud, Mathias; Kjetland, Eyrun Floerecke.
I: American Journal of Tropical Medicine and Hygiene, Bind 93, Nr. 1, 08.07.2015, s. 80-86.Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt
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TY - JOUR
T1 - The first step toward diagnosing female genital schistosomiasis by computer image analysis
AU - Holmen, Sigve Dhondup
AU - Kleppa, Elisabeth
AU - Lillebø, Kristine
AU - Pillay, Pavitra
AU - van Lieshout, Lisette
AU - Taylor, Myra
AU - Albregtsen, Fritz
AU - Vennervald, Birgitte J
AU - Onsrud, Mathias
AU - Kjetland, Eyrun Floerecke
N1 - © The American Society of Tropical Medicine and Hygiene.
PY - 2015/7/8
Y1 - 2015/7/8
N2 - Schistosoma haematobium causes female genital schistosomiasis (FGS), which is a poverty-related disease in sub-Saharan Africa. Furthermore, it is co-endemic with human immunodeficiency virus (HIV), and biopsies from genital lesions may expose the individual to increased risk of HIV infection. However, microscopy of urine and hematuria are nonspecific and insensitive predictors of FGS and gynecological investigation requires extensive training. Safe and affordable diagnostic methods are needed. We explore a novel method of diagnosing FGS using computer color analysis of colposcopic images. In a cross-sectional study on young women in an endemic area, we found strong associations between the output from the computer color analysis and both clinical diagnosis (odds ratio [OR] = 5.97, P < 0.001) and urine microscopy for schistosomiasis (OR = 3.52, P = 0.004). Finally, using latent class statistics, we estimate that the computer color analysis yields a sensitivity of 80.5% and a specificity of 66.2% for the diagnosis of FGS.
AB - Schistosoma haematobium causes female genital schistosomiasis (FGS), which is a poverty-related disease in sub-Saharan Africa. Furthermore, it is co-endemic with human immunodeficiency virus (HIV), and biopsies from genital lesions may expose the individual to increased risk of HIV infection. However, microscopy of urine and hematuria are nonspecific and insensitive predictors of FGS and gynecological investigation requires extensive training. Safe and affordable diagnostic methods are needed. We explore a novel method of diagnosing FGS using computer color analysis of colposcopic images. In a cross-sectional study on young women in an endemic area, we found strong associations between the output from the computer color analysis and both clinical diagnosis (odds ratio [OR] = 5.97, P < 0.001) and urine microscopy for schistosomiasis (OR = 3.52, P = 0.004). Finally, using latent class statistics, we estimate that the computer color analysis yields a sensitivity of 80.5% and a specificity of 66.2% for the diagnosis of FGS.
U2 - 10.4269/ajtmh.15-0071
DO - 10.4269/ajtmh.15-0071
M3 - Journal article
C2 - 25918212
VL - 93
SP - 80
EP - 86
JO - Journal. National Malaria Society
JF - Journal. National Malaria Society
SN - 0002-9637
IS - 1
ER -
ID: 144209875