Literature DB >> 15962736

Accuracy and predictors of basal cell carcinoma diagnosis.

Jordan B Schwartzberg1, George W Elgart, Paolo Romanelli, Ma Fangchao, Daniel G Federman, Robert S Kirsner.   

Abstract

BACKGROUND: Basal cell carcinoma (BCC) is the most common cancer in the United States. Therefore, prospective assessment of dermatologists' acumen in diagnosing BCC is important but, unfortunately, is lacking. OBJECTIVE. We sought to determine the positive predictive value (PPV) for clinically diagnosing BCC based on how confident the physician is of the diagnosis. We also sought to determine which clinical and historical factors most influence a dermatologist's perception that a tumor is a BCC and to determine which factors are correlated with a lesion being a BCC.
METHODS: Dermatology attending faculty at the University of Miami performing biopsies on their patients in whom BCC was a consideration were asked to complete a questionnaire. They recorded how confident they were of their clinical diagnosis of BCC. They also recorded various clinical and historical factors about the patients and the lesions biopsied.
RESULTS: The PPV for clinically diagnosing BCC when the clinician was most confident was 80%. Age (> 64 years) and the presence of pigmentation, telangiectasias, and a pearly border were statistically associated with a greater confidence level and a histologic diagnosis of BCC. Sunscreen use was associated with fewer diagnoses of BCCs.
CONCLUSION: This is the first study to determine a relevant PPV for the clinical diagnosis of BCC because the PPV was based on clinical confidence level. These results highlight the role of diagnostic biopsies, could improve patient referral, and may help increase the PPV in the future.

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Mesh:

Year:  2005        PMID: 15962736     DOI: 10.1111/j.1524-4725.2005.31156

Source DB:  PubMed          Journal:  Dermatol Surg        ISSN: 1076-0512            Impact factor:   3.398


  7 in total

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2.  The invisible basal cell carcinoma: how reflectance confocal microscopy improves the diagnostic accuracy of clinically unclear facial macules and papules.

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Journal:  Lasers Med Sci       Date:  2016-08-04       Impact factor: 3.161

Review 3.  [Skin diseases in geriatric patients. Epidemiologic data].

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4.  Skin cancer recognition by using a neuro-fuzzy system.

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Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

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Authors:  Jacqueline Dinnes; Jonathan J Deeks; Matthew J Grainge; Naomi Chuchu; Lavinia Ferrante di Ruffano; Rubeta N Matin; David R Thomson; Kai Yuen Wong; Roger Benjamin Aldridge; Rachel Abbott; Monica Fawzy; Susan E Bayliss; Yemisi Takwoingi; Clare Davenport; Kathie Godfrey; Fiona M Walter; Hywel C Williams
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7.  The additional diagnostic value of optical coherence tomography in clinically diagnosed basal cell carcinomas undergoing direct surgical excision.

Authors:  F Adan; P J Nelemans; N W J Kelleners-Smeets; J P H M Kessels; T Brinkhuizen; K Mosterd
Journal:  Br J Dermatol       Date:  2021-08-20       Impact factor: 11.113

  7 in total

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