| 1. |
- Paoli, John, 1975, et al.
(författare)
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Hyperspectral Imaging for Non-invasive Diagnostics of Melanocytic Lesions.
- 2022
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Ingår i: Acta dermato-venereologica. - : Medical Journals Sweden AB. - 1651-2057 .- 0001-5555. ; 102
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Tidskriftsartikel (refereegranskat)abstract
- Malignant melanoma poses a clinical diagnostic problem, since a large number of benign lesions are excised to find a single melanoma. This study assessed the accuracy of a novel non-invasive diagnostic technology, hyperspectral imaging, for melanoma detection. Lesions were imaged prior to excision and histopathological analysis. A deep neural network algorithm was trained twice to distinguish between histopathologically verified malignant and benign melanocytic lesions and to classify the separate subgroups. Furthermore, 2 different approaches were used: a majority vote classification and a pixel-wise classification. The study included 325 lesions from 285 patients. Of these, 74 were invasive melanoma, 88 melanoma in situ, 115 dysplastic naevi, and 48 non-dysplastic naevi. The study included a training set of 358,800 pixels and a validation set of 7,313 pixels, which was then tested with a training set of 24,375 pixels. The majority vote classification achieved high overall sensitivity of 95% and a specificity of 92% (95% confidence interval (95% CI) 0.024-0.029) in differentiating malignant from benign lesions. In the pixel-wise classification, the overall sensitivity and specificity were both 82% (95% CI 0.005-0.005). When divided into 4 subgroups, the diagnostic accuracy was lower. Hyperspectral imaging provides high sensitivity and specificity in distinguishing between naevi and melanoma. This novel method still needs further validation.
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| 2. |
- Hellquist, Anna, et al.
(författare)
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Variation in STAT4 is associated with systemic lupus erythematosus in a Finnish family cohort
- 2010
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Ingår i: Annals of the Rheumatic Diseases. - : BMJ. - 0003-4967 .- 1468-2060. ; 69:5, s. 883-886
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVES:To investigate if 10 single nucleotide polymorphisms (SNPs) and haplotypes in the STAT4 gene, previously associated with SLE in a Swedish case-control cohort, also are associated with SLE risk in a Finnish SLE family cohort.METHOD: Genotyping was performed in 192 Finnish families, with 237 affected individuals and their healthy relatives, using the SNPstream genotyping system.RESULTS:TDT analysis provided the strongest signal of association for two linked SNPs; rs7582694 (P-value = 0.002, OR = 2.57) and rs10181656 (P-value = 0.001, OR = 2.53). We further performed haplotype association analysis using a sliding window approach which showed that the strongest association signal originates from SNPs in intron 3 of STAT4.CONCLUSION:Our results provide evidence that the main association signal for STAT4 with SLE previously reported in Caucasians is the same in the Finnish population. This is the first study that confirms the association of STAT4 with SLE in a family cohort.
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| 3. |
- Järvinen, Tiina M., et al.
(författare)
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Polymorphisms of the ITGAM Gene Confer Higher Risk of Discoid Cutaneous Than of Systemic Lupus Erythematosus
- 2010
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Ingår i: PLOS ONE. - : Public Library of Science (PLoS). - 1932-6203. ; 5:11, s. e14212-
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Tidskriftsartikel (refereegranskat)abstract
- Background: Lupus erythematosus (LE) is a heterogeneous disease ranging from mainly skin-restricted manifestations (discoid LE [DLE] and subacute cutaneous LE) to a progressive multisystem disease (systemic LE [SLE]). Genetic association studies have recently identified several strong susceptibility genes for SLE, including integrin alpha M (ITGAM), also known as CD11b, whereas the genetic background of DLE is less clear. Principal Findings: To specifically investigate whether ITGAM is a susceptibility gene not only for SLE, but also for cutaneous DLE, we genotyped 177 patients with DLE, 85 patients with sporadic SLE, 190 index cases from SLE families and 395 population control individuals from Finland for nine genetic markers at the ITGAM locus. SLE patients were further subdivided by the presence or absence of discoid rash and renal involvement. In addition, 235 Finnish and Swedish patients positive for Ro/SSA-autoantibodies were included in a subphenotype analysis. Analysis of the ITGAM coding variant rs1143679 showed highly significant association to DLE in patients without signs of systemic disease (P-value = 4.73x10(-11), OR = 3.20, 95% CI = 2.23-4.57). Significant association was also detected to SLE patients (P-value = 8.29x10(-6), OR = 2.14, 95% CI = 1.52-3.00), and even stronger association was found when stratifying SLE patients by presence of discoid rash (P-value = 3.59x10(-8), OR = 3.76, 95% CI = 2.29-6.18). Significance: We propose ITGAM as a novel susceptibility gene for cutaneous DLE. The risk effect is independent of systemic involvement and has an even stronger genetic influence on the risk of DLE than of SLE.
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