Computer-aided measurement of psoriatic lesion area in a multicenter clinical trial—Comparison to physician's estimations

Kreft, Samo; Kreft, Marko; Resman, Aleksander; Marko, Pij Bogomir; Kreft, Katarina Zajc

doi:10.1016/j.jdermsci.2006.05.006

Cited by 37 publications

(29 citation statements)

References 17 publications

(30 reference statements)

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“…The clinical assessed BSA did not differ statistically from objectively assessed BSA, for instance with computer-based image analysis in two studies (Kanthraj et al, 1997;Ormerod et al, 1997). However, several other studies showed that patients and clinicians significantly overestimate the affected area, especially in mild cases and when untrained (Ramsay and Lawrence, 1991;Tiling-Grosse and Rees, 1993;Savolainen et al, 1997Savolainen et al, , 1998Yune et al, 2003;Kreft et al, 2006). The correlation coefficient between BSA assessed by dermatologists and patients ranged from r ¼ 0.38-0.82 Fleischer, Jr et al, 1999;Szepietowski et al, 2001;Sampogna et al, 2003).…”

Section: Evaluation Of the Instrumentsmentioning

confidence: 90%

“…It is defined as 9% coverage for the head and neck, each arm, anterior and posterior leg as well as the four trunk quadrants respectively, leaving 1% for the genitalia. The BSA can also be estimated by the number of patients' hand areas affected, assuming that one ''handprint'' reflects approximately 1% of BSA (Ramsay and Lawrence, 1991;Long et al, 1992;Savolainen et al, 1997Savolainen et al, , 1998Kreft et al, 2006;Thomas and Finlay, 2007). Validity was only tested with the PGA, which correlated strongly (Langley and Ellis, 2004).…”

Section: Evaluation Of the Instrumentsmentioning

confidence: 99%

“…The SPASI equals the sum of the average redness, thickness, and scaling of all the psoriasis lesions multiplied by the percentage of body surface area involved PEASI The PLASI is derived from the PASI but uses actual BSA percentages instead of an area score PLASI The PLASI is derived from the PASI but uses six BSA groupings with finer partitioning for smaller extents of BSA www.jidonline.org 935 Feldman et al, 1996;Fleischer, Jr et al, 1999;Gottlieb et al, 2003;Harari et al, 2000;Jacobson and Kimball, 2004;Kanthraj et al, 1997;Kreft et al, 2006;Langley and Ellis, 2004;Long et al, 1992;Marks et al, 1989;Ormerod et al, 1997;Ramsay and Lawrence, 1991;Sampogna et al, 2003;Savolainen et al, 1998;Savolainen et al, 1997;Szepietowski et al, 2001;Tiling-Grosse and Rees, 1993;Yune et al, 2003 -Fit for static measurement (clinical construct) -Unfit for measuring response (responsiveness)…”

Section: Spasimentioning

confidence: 99%

See 2 more Smart Citations

How Good Are Clinical Severity and Outcome Measures for Psoriasis?: Quantitative Evaluation in a Systematic Review

Spuls

Lecluse

Poulsen

et al. 2010

Journal of Investigative Dermatology

219

217

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A large number of clinical measures of psoriasis are used in clinical trials and daily practice. These measures lack uniformity and validation. However, valid outcome and severity measures for psoriasis are a prerequisite for fully informative clinical research and evidence-based medicine. The purpose of this study was to identify all clinical measures of psoriasis severity and outcome in use and to evaluate the quality of these measures using clinimetric criteria; we identified 53 separate clinical measures, which were regrouped into 11 measures for quality analysis. No measure could be scored on all items used in the clinimetric analysis. The Lattice System Physician's Global Assessment and Physician's Global Assessment were most highly noted. We conclude that none of the psoriasis measures is adequately validated. The Psoriasis Area and Severity Index is the most commonly used clinical measure in research, but it has substantial limitations such as low response distribution, no consensus on interpretability, and low responsiveness in mild disease. Nevertheless, because of its widespread use the Psoriasis Area and Severity Index permits some degree of comparison of results among clinical trials. Overall, no best instrument was identified, and different situations may call for different measures.

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Section: Evaluation Of the Instrumentsmentioning

confidence: 90%

Section: Evaluation Of the Instrumentsmentioning

confidence: 99%

Section: Spasimentioning

confidence: 99%

See 1 more Smart Citation

How Good Are Clinical Severity and Outcome Measures for Psoriasis?: Quantitative Evaluation in a Systematic Review

Spuls

Lecluse

Poulsen

et al. 2010

Journal of Investigative Dermatology

219

217

View full text Add to dashboard Cite

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“…The clinical assessed BSA did not differ statistically from objectively assessed BSA, for instance with computer-based image analysis in two studies (Kanthraj et al 1997Ormerod et al, 1997. 12 However, several other studies showed that patients and clinicians significantly overestimate the affected area, especially in mild cases and when untrained (Ramsay and Lawrence, 1991 1 ; Tiling-Grosse and Rees, 1993 13 ; Savolainen et al 1997, 1998 14&15 ; Yune et al, 2003 16 ; Kreft et al, 2006). 17 The correlation coefficient between BSA assessed by dermatologists and patients ranged from r:0.38-0.82 (Feldman et al 1996; Fleischer, Jr et al, 1999 10 ; Szepietowski et al 2001 18 ;Sampogna et al 2003).…”

Section: Discussionmentioning

confidence: 99%

Evaluation of Efficacy of Indices in Psoriasis in Relation to Severity and Improvement in Therapy

Ananthula¹,

K²,

S³

et al. 2016

jemds

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BACKGROUNDPsoriasis is a chronic disfiguring, inflammatory and proliferative condition of the skin in which both the genetic and environmental factors have a critical role. Many environmental factors like the trauma, infection, drugs, sunlight, metabolic factors, psychogenic factors, alcohol and smoking have been linked to psoriasis and have been implicated in initiation of disease process and exacerbation of pre-existing disease treatment. METHODSThe present study is conducted on a total of 40 patients, who presented with chronic plaque psoriasis to Department of DVL, Osmania General Hospital, Hyderabad, from September 2014 to July 2015. All the 40 cases were subjected to thorough clinical examination and investigations. We performed the calculations of BSA, PGA, PASI, PLASI in the cases. RESULTSThe mean results of BSA, PGA, PASI, PLASI before and after 8 weeks of treatment with methotrexate were calculated. The mean score before and after treatment therapy differed significantly (p <0.0001). Largest absolute difference was found with PLASI (35.1) followed by PASI (19), BSA (12.8), PGA (4). Largest relative difference was found with PLASI (86.32%), PASI (84.16%), PGA (80%) and BSA (75.75%). CONCLUSIONSStrength of each correlation was compared. The correlation between PLASI and PASI (r=0.932) was significantly stronger than correlation between any other two indices. Correlation between PLASI and BSA (r=0.593) was found to be weakest among all other indices. Correlation with PGA with PASI, PLASI was weaker than correlation between PASI and PLASI. In our study, the slope of the regression for PLASI (b = 3.319) vs. PASI (b = 2.462) indicates that PLASI is more accurate than PASI. In the regression analyses, all other slopes were less than unity indicating that the severity differentiation was inferior, especially when BSA was involved in the analysis. KEYWORDSPsoriasis, BSA, PGA, PASI, PLASI.HOW TO CITE THIS ARTICLE: Ananthula VK, Prasad KN, Prasad JVDS, et al. Evaluation of efficacy of indices in psoriasis in relation to severity and improvement in therapy.

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“…In the case of Ref. [22], images are acquired using a digital CCD camera Canon Power Shot A60. The psoriasis images presented in this paper are collected from Psoriasis Clinic and Research Centre, Psoriatreat, Pune, Maharshtra, India.…”

Section: Introductionmentioning

confidence: 99%

First review on psoriasis severity risk stratification: An engineering perspective

Shrivastava

Londhe

Sonawane³

et al. 2015

Computers in Biology and Medicine

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Computer-aided measurement of psoriatic lesion area in a multicenter clinical trial—Comparison to physician's estimations

Cited by 37 publications

References 17 publications

How Good Are Clinical Severity and Outcome Measures for Psoriasis?: Quantitative Evaluation in a Systematic Review

How Good Are Clinical Severity and Outcome Measures for Psoriasis?: Quantitative Evaluation in a Systematic Review

Evaluation of Efficacy of Indices in Psoriasis in Relation to Severity and Improvement in Therapy

First review on psoriasis severity risk stratification: An engineering perspective

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