Design of an Algorithm for Automated, Computer-Guided PASI Measurements by Digital Image Analysis.
The Psoriasis Area and Severity Index (PASI) is the most accepted method for psoriasis severity scoring. However, a prominent level of subjectivity and a low intra- and inter-rater reproducibility was reported. Therefore, an accurate and reproducible measure of psoriasis severity is needed, especial...
| Publicado en: | Journal of Medical Systems Vol. 42; no. 12; pp. 1 - 2 |
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| Autores principales: | , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Springer Nature
Dec2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=133352451&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 133352451 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01485598 4N0 jtl: Journal of Medical Systems issn: 01485598 maglogo: N pubinfo: dt: Dec2018 vid: 42 iid: 12 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 133352451 133352451 133352451 10.1007/s10916-018-1110-7 133352451 ppf: 1 ppct: 1 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Design of an Algorithm for Automated, Computer-Guided PASI Measurements by Digital Image Analysis. aug: au: Fink, Christine Fuchs, Tobias Enk, Alexander Haenssle, Holger A. affil: Department of Dermatology, University of Heidelberg, Im Neuenheimer Feld 440, 69120, Heidelberg, Germany sug: subj: Psoriasis Diagnosis Severity of Illness Evaluation Software Design Image Processing, Computer Assisted Methods Digital Imaging Human Clinical Assessment Tools Reproducibility of Results Erythema Workload Program Evaluation ab: The Psoriasis Area and Severity Index (PASI) is the most accepted method for psoriasis severity scoring. However, a prominent level of subjectivity and a low intra- and inter-rater reproducibility was reported. Therefore, an accurate and reproducible measure of psoriasis severity is needed, especially in the setting of registration studies for systemic anti-psoriatic drugs. Herein we describe a robust, user-friendly, computer-guided technology that allows for automated PASI measurements after total body imaging and digital image analysis. For this purpose, a novel image processing software for PASI calculations was developed, which was combined with a commercially available, automated image capturing system. Our data shows, that the software was able to accurately calculate the proportion of psoriatic skin surface as well as the severity of erythema, induration, and desquamation by anatomic region. In a pilot clinical validation the time-efficient technology showed a high reproducibility and high levels of agreement to results attained by PASI-trained physicians. Therefore, automated computer-guided PASI measurements hold the promise of significantly reducing the physicians' workload while ensuring a high level of reproducibility and standardization. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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