Tele-assessment of Psoriasis Area and Severity Index: A study of the accuracy of digital image capture

Singh, Philip; Soyer, H. Peter; Wu, Jason; Salmhofer, Wolfgang; Gilmore, Stephen

doi:10.1111/j.1440-0960.2011.00800.x

Cited by 28 publications

(49 citation statements)

References 14 publications

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“…Singh and colleagues study that was published in 2011, reported a good agreement between face to face visit and digital images. 4 The results of this study encouraged the application of teledermatology approach in psoriasis management. In 2012, the first trial emerged for Assessment of psoriasis respond to treatments can be measured by various tools such as the DLQI and PASI scores; however, PASI is the widely accepted tool for disease control.…”

Section: Discussionmentioning

confidence: 61%

“…Finally, we included seven studies for this systematic review (Table 1 and Figure 1). 4,6,8,[12][13][14][15] There were four RCTs, two prospective cohorts and one case series study. The total sample size was 596 with a male prevalence of 53%.…”

Section: Study Characteristicsmentioning

confidence: 99%

“…2 Recent studies have shown that the average patient's adherence with psoriasis treatment modalities is approximately 60%. 3,4 Teledermatology, as mobile-phone-based or internet-based modalities, could be successfully applied, contributing to assessment and treatment of the patients in the long road from getting this chronic disease till recovery. 3,5 Indeed, the cell phone and some applications are easily available, applicable technologies and have already been utilized effectively to advice and support patients as well as to improve treatment compliance in many different dermatological chronic diseases.…”

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confidence: 99%

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Telemedicine approach for psoriasis management, time for application? A systematic review of published studies

Dahy

El‐Qushayri

Mahmoud

et al. 2020

Dermatologic Therapy

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Psoriasis is a common chronic inflammatory skin condition. It has a chronic course with multiple evolving relapses and patients require long-term treatment and followup. Teledermatology was introduced for diagnosis, treatment and follow-up of chronic diseases. Thus, we performed a systematic review for collecting the evidence regarding the efficacy of telemedicine in psoriasis management. Out of 287 records, we included seven studies (four of which were randomized controlled trials). We found that telemedicine alone or combined with usual care had the same or higher efficacy of psoriasis management compared to usual care or control group. We recommend further studies for assessing the pros and cons of this intervention which can replace conventional strategies especially in pandemic times.

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Section: Discussionmentioning

confidence: 61%

Section: Study Characteristicsmentioning

confidence: 99%

mentioning

confidence: 99%

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Telemedicine approach for psoriasis management, time for application? A systematic review of published studies

Dahy

El‐Qushayri

Mahmoud

et al. 2020

Dermatologic Therapy

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“…The utility of telemedicine in the evaluation and management of psoriasis in clinical care settings has been documented . Additionally, previous studies have demonstrated that telemedicine‐based clinical assessments using standardized digital photographs are comparable with in‐person assessments in several dermatological conditions …”

Section: In‐person Vs Photographic Psoriasis Area and Severity Indexmentioning

confidence: 99%

A reliability study using Network Oriented Research Assistant (NORA ^® ) examining the use of digital photographs in the assessment of psoriasis

et al. 2019

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DEAR EDITOR, Psoriasis is a chronic immune-modulated condition affecting approximately 2-3% of the general population. 1 In addition to cutaneous lesions, psoriasis is associated with systemic and mental health comorbidities. 1 Psoriasis is among the most extensively researched dermatological conditions, with many novel treatment options in the drug development pipeline. Clinical trials can be costly and time-consuming. Telemedicine has the potential to improve and accelerate drug development by 'decentralizing' clinical trials, enabling patients to participate in trials remotely. 2 NORA â (Network Oriented Research Assistant) is a telemedicine-based software platform developed by Science 37, Inc. that facilitates decentralized clinical trials (DCTs) by connecting clinical trial teams to patients wherever they live. For the DCT model to be successful, investigators must be able to perform clinician-reported outcome measures reliably via telemedicine. The utility of telemedicine in the evaluation and management of psoriasis in clinical care settings has been documented. 3 Additionally, previous studies have demonstrated that telemedicine-based clinical assessments using standardized digital photographs are comparable with in-person assessments in several dermatological conditions. 4-6 This reliability study compares common psoriasis severity assessments performed via digital photographs against the same assessments performed in person. Five dermatology investigators, at two dermatology practices in Los Angeles, California,

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“…Therefore more attention and resources should be given to the collection of good standardized images, as it is a crucial investment for any future research using artificial intelligence. Singh et al 19 already showed that bad photograph quality impacted a physician's image-based psoriasis assessment. Our results on the images with only 25% of the original image resolution show that image quality influences results in machine learning as well.…”

Section: Implications For Practicementioning

confidence: 99%

Observer‐independent assessment of psoriasis‐affected area using machine learning

Meienberger

Anzengruber

Amruthalingam

et al. 2020

Acad Dermatol Venereol

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Background Assessment of psoriasis severity is strongly observer-dependent, and objective assessment tools are largely missing. The increasing number of patients receiving highly expensive therapies that are reimbursed only for moderate-to-severe psoriasis motivates the development of higher quality assessment tools. Objective To establish an accurate and objective psoriasis assessment method based on segmenting images by machine learning technology. Methods In this retrospective, non-interventional, single-centred, interdisciplinary study of diagnostic accuracy, 259 standardized photographs of Caucasian patients were assessed and typical psoriatic lesions were labelled. Two hundred and three of those were used to train and validate an assessment algorithm which was then tested on the remaining 56 photographs. The results of the algorithm assessment were compared with manually marked area, as well as with the affected area determined by trained dermatologists. Results Algorithm assessment achieved accuracy of more than 90% in 77% of the images and differed on average 5.9% from manually marked areas. The difference between algorithm-predicted and photograph-based estimated areas by physicians was 8.1% on average. Conclusion The study shows the potential of the evaluated technology. In contrast to the Psoriasis Area and Severity Index (PASI), it allows for objective evaluation and should therefore be developed further as an alternative method to human assessment.

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Tele-assessment of Psoriasis Area and Severity Index: A study of the accuracy of digital image capture

Cited by 28 publications

References 14 publications

Telemedicine approach for psoriasis management, time for application? A systematic review of published studies

Telemedicine approach for psoriasis management, time for application? A systematic review of published studies

A reliability study using Network Oriented Research Assistant (NORA ^® ) examining the use of digital photographs in the assessment of psoriasis

Observer‐independent assessment of psoriasis‐affected area using machine learning

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Tele-assessment of Psoriasis Area and Severity Index: A study of the accuracy of digital image capture

Cited by 28 publications

References 14 publications

Telemedicine approach for psoriasis management, time for application? A systematic review of published studies

Telemedicine approach for psoriasis management, time for application? A systematic review of published studies

A reliability study using Network Oriented Research Assistant (NORA ® ) examining the use of digital photographs in the assessment of psoriasis

Observer‐independent assessment of psoriasis‐affected area using machine learning

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A reliability study using Network Oriented Research Assistant (NORA ^® ) examining the use of digital photographs in the assessment of psoriasis