Diagnostic Accuracy— A New Approach to Its Evaluation

Lightstone, Alan C.

doi:10.1001/archderm.1965.01600110083017

Cited by 45 publications

(22 citation statements)

References 4 publications

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“…The average test results over 18 trials from all the α-cuts cases yield tp rates of greater than 86.0% and tn rates of greater than 77.0%. These results are close to the diagnostic sensitivity reported for unaided dermatologist observers [1][2][3]5]. Third, the experimental results demonstrate that the fuzzy logic-based histogram analysis technique can be successfully applied to differentiating melanoma from benign skin lesions in clinical images.…”

Section: Fuzzy Ratio Resultssupporting

confidence: 83%

“…A significant number of malignant melanomas, especially early melanomas curable by excision, are not diagnosed correctly in the clinical setting [1][2][3][4]. The diagnostic sensitivity reported for unaided dermatologist observers ranges from a low of about 66% to about 81% [1][2][3]5].…”

Section: Introductionmentioning

confidence: 99%

“…The diagnostic sensitivity reported for unaided dermatologist observers ranges from a low of about 66% to about 81% [1][2][3]5]. Diagnostic accuracy for non-dermatologists is believed to be lower.…”

Section: Introductionmentioning

confidence: 99%

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A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images

Stanley

Moss

Stoecker

et al. 2003

Computerized Medical Imaging and Graphics

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A fuzzy logic-based color histogram analysis technique is presented for discriminating benign skin lesions from malignant melanomas in dermatology clinical images. The approach utilizes a fuzzy set for benign skin lesion color, and alpha-cut and support set cardinality for quantifying a fuzzy ratio skin lesion color feature. Skin lesion discrimination results are reported for the fuzzy ratio and fusion with a previously determined percent melanoma color feature over a data set of 258 clinical images. For the fusion technique, alpha-cuts for the fuzzy ratio can be chosen to recognize over 93.30% of melanomas with approximately 15.67% false positive lesions.

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Section: Fuzzy Ratio Resultssupporting

confidence: 83%

Section: Introductionmentioning

confidence: 99%

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A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images

Stanley

Moss

Stoecker

et al. 2003

Computerized Medical Imaging and Graphics

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“…These results show that although the diagnostic accuracy of clinical examination was not 100 %, the likelihood of providing the correct treatment for these tumours was indeed very high. Our study also demonstrated a remarkable improvement in clinical diagnosis of BCC compared to previous retrospective studies that reported misdiagnosis in 25 % of the lesions [6,7]. An analogous improvement in the diagnosis of squamous cell carcinoma based on clinical findings was noticed as previous studies have shown that 36 % of squamous cell carcinomas were misdiagnosed clinically as basal cell carcinomas [6,7].…”

Section: Discussionsupporting

confidence: 82%

Positive predictive value of clinical diagnosis of head and neck non-melanoma skin malignancies. How accurate are we?

Stathopoulos

Ghaly

Sisodia

et al. 2015

Oral Maxillofac Surg

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The present study supports that relying on clinical diagnosis with the purpose to formalise a treatment plan for head and neck non-melanoma skin cancer is safe and efficient. This is more reliable in cases of basal cell carcinoma in comparison to suspected squamous cell carcinomas. Although positive predictive value represents a reliable measure of diagnostic accuracy, it is increased when populations with higher prevalence of the disease are studied.

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“…This seems more accurate than data obtained by clinical judgement alone. We (6) and others (2,7,8) have indeed noted that the diagnosis made by experienced cli nicians was confirmed histologically only in 2/3 of the cases. In our series, the clinical ac curacy was less than 50% for general practi tioners, about 60% for surgeons and 85% for dermatologists.…”

Section: Discussionmentioning

confidence: 72%

Rates of Epidermal Carcinomas in the Mosan Region of Belgium

Piérard‐Franchimont¹,

Ge²

1988

Dermatology

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The prevalence of nonmelanocytic skin cancers has been evaluated from histologic data related to the population of the Mosan region of Belgium. 2,538 neoplasms were identified over a period of 5 years. The collected data are in opposition with those provided by the national cancer registry of Belgium. Nonmelanocytic skin cancers represent at least 15 % of the total number of cancers. The relative risk to develop a given malignant cutaneous neoplasm rather than another is constant until 80 years of age. The age distribution of the rates of estimated prevalence is different between keratoacanthomas on the one hand and basal and squamous cell carcinomas on the other hand.

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Diagnostic Accuracy— A New Approach to Its Evaluation

Cited by 45 publications

References 4 publications

A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images

A fuzzy-based histogram analysis technique for skin lesion discrimination in dermatology clinical images

Positive predictive value of clinical diagnosis of head and neck non-melanoma skin malignancies. How accurate are we?

Rates of Epidermal Carcinomas in the Mosan Region of Belgium

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