VSE knjižnice (vzajemna bibliografsko-kataložna baza podatkov COBIB.SI)
  • Napovedovanje kliničnega poteka multiple skleroze iz magnetnoresonančnih slik : predhodni rezultati raziskave = The prediction of multiple sclerosis disease course from magnetic resonance images : preliminary study results
    Dular, Lara, matematičarka ...
    Backgrounds. Early identification of multiple sclerosis patients at risk of disease progression and/or progression to secondary progressive multiple sclerosis is an important unmet clinical need. ... This research aimed to train and evaluate predictive models of disability progression in patients with multiple sclerosis from MR images. Methods. The volumes of 268 brain structures and the volume and number of white matter lesions were determined from T1-enhanced and water-attenuated MR images through the automatic analysis of these images. We used these measurements to train three established classifier models, while the fourth model was based on a convolutional neural network and was trained directly on the gray values of MR images. Results. The fourth model achieved the best area under the receiver operating characteristic curve value of 74%, the accuracy of 76% and sensitivity of 51%, and the random forest classifier-based model achieved the highest sensitivity of 54%. The stated results are consistent with the results of previous research. Discussion. The ability to identify increased risk of disability progression from MR images is a promising research direction. Further improvements in predictive models would enable early intervention to prevent or delay the progression of disability and/or the transition to secondary progressive multiple sclerosis.
    Vir: 6. srečanje z multiplo sklerozo : [zbornik prispevkov] = 6th facing multiple sclerosis (Str. 51-57)
    Vrsta gradiva - prispevek na konferenci ; neleposlovje za odrasle
    Leto - 2023
    Jezik - slovenski
    COBISS.SI-ID - 149964803

    Povezava(-e):

    Digitalna knjižnica Slovenije - dLib.si

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