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- Kang, JS, et al.
(författare)
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Risk prediction for malignant intraductal papillary mucinous neoplasm of the pancreas: logistic regression versus machine learning
- 2020
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Ingår i: Scientific reports. - : Springer Science and Business Media LLC. - 2045-2322. ; 10:1, s. 20140-
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Tidskriftsartikel (refereegranskat)abstract
- Most models for predicting malignant pancreatic intraductal papillary mucinous neoplasms were developed based on logistic regression (LR) analysis. Our study aimed to develop risk prediction models using machine learning (ML) and LR techniques and compare their performances. This was a multinational, multi-institutional, retrospective study. Clinical variables including age, sex, main duct diameter, cyst size, mural nodule, and tumour location were factors considered for model development (MD). After the division into a MD set and a test set (2:1), the best ML and LR models were developed by training with the MD set using a tenfold cross validation. The test area under the receiver operating curves (AUCs) of the two models were calculated using an independent test set. A total of 3,708 patients were included. The stacked ensemble algorithm in the ML model and variable combinations containing all variables in the LR model were the most chosen during 200 repetitions. After 200 repetitions, the mean AUCs of the ML and LR models were comparable (0.725 vs. 0.725). The performances of the ML and LR models were comparable. The LR model was more practical than ML counterpart, because of its convenience in clinical use and simple interpretability.
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- Niemi, MEK, et al.
(författare)
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- 2021
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swepub:Mat__t
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- Han, HD, et al.
(författare)
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Erratum
- 2021
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Ingår i: Cancer medicine. - : Wiley. - 2045-7634. ; 10:20, s. 7441-7441
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)
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- Li, XL, et al.
(författare)
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Autoimmune glial fibrillary acidic protein astrocytopathy with lesions distributed predominantly in the entire spinal cord
- 2020
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Ingår i: Therapeutic advances in neurological disorders. - : SAGE Publications. - 1756-2856 .- 1756-2864. ; 13, s. 1756286420909973-
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Autoimmune glial fibrillary acidic protein (GFAP) astrocytopathy has been considered a novel central nervous system autoimmune disease characterized by relapse and responsiveness to corticosteroid with a specific GFAP-Immunoglobulin G (IgG) being noted in cerebrospinal fluid. We report the case of a 21-year-old girl presenting with dysuria and weariness, who subsequently developed blurry vision, slight dysphagia, slurred speech, and sensory abnormality. GFAP-IgG was detected in her cerebrospinal fluid. Magnetic resonance imaging using both T2-weighted and contrast-enhanced T1-weighted images revealed a rare finding of lesions distributed mainly in the entire spinal cord rather than typical brain lesions. After treating with corticosteroids, her clinical symptoms were alleviated, and the spinal cord lesion enhancement was reduced. Our observations extend the clinical spectrum of autoimmune GFAP astrocytopathy. We suggest that rare distributed lesions in the entire spinal cord in patients with autoimmune GFAP astrocytopathy cannot be ignored by neurologists. The identification of potential atypical lesions broadens the understanding of autoimmune GFAP astrocytopathy.
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