Accuracy and predictors of basal cell carcinoma diagnosis

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

Research output: Contribution to journalArticle

21 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)534-537
Number of pages4
JournalDermatologic Surgery
Volume31
Issue number5
DOIs
StatePublished - Jan 1 2005

ASJC Scopus subject areas

  • Surgery
  • Dermatology

Fingerprint Dive into the research topics of 'Accuracy and predictors of basal cell carcinoma diagnosis'. Together they form a unique fingerprint.

  • Cite this