Literature DB >> 15943729

Clinical diagnosis of skin tumours: how good are we?

Edmund W Ek1, Francesco Giorlando, Shirley Y Su, Tam Dieu.   

Abstract

BACKGROUND: Few studies have addressed the accuracy of clinical diagnosis of skin malignancies. The present prospective study aims to determine the accuracy with which these lesions are diagnosed and attempts to identify the factors influencing the accuracy of clinical diagnosis.
METHODS: All patients undergoing surgical excision of a skin cancer with curative intent from January 2001 to December 2002 at Peter MacCallum Cancer Institute, Melbourne, Australia were prospectively studied. Data were entered into the Filemaker Pro program and analysed using the SPSS software package.
RESULTS: A total of 2582 lesions were surgically excised from 1223 patients. Of these 47% were basal cell carcinomas (BCC), 20% were squamous cell carcinomas (SCC), 0.9% were malignant melanomas (MM), and 32.1% were benign or premalignant. Tumours, benign and malignant, were found to be more common in men. The sensitivity for clinical diagnosis of malignancy was 97.5% while the positive predictive value (PPV) for clinical diagnosis of malignancy was 70.3%. BCC and SCC was diagnosed with a sensitivity of 89% and 56.3%, and PPV of 64.5% and 40.3%, respectively (P < 0.001). 23 MM were excised with a sensitivity of clinical diagnosis of 47.8% and PPV of 30.6%. Sensitivity and PPV were also assessed according to clinical experience of the surgeon, site of the lesion and whether surgery was performed for a primary or a recurrent lesion. Sensitivity and PPV were higher for lesions diagnosed by consultant surgeons when compared with surgical trainees (P < 0.001) - MM was diagnosed with a sensitivity of 100% by consultant surgeons.
CONCLUSION: The present study shows sensitivity and PPV rates comparable to published figures.

Entities:  

Mesh:

Year:  2005        PMID: 15943729     DOI: 10.1111/j.1445-2197.2005.03394.x

Source DB:  PubMed          Journal:  ANZ J Surg        ISSN: 1445-1433            Impact factor:   1.872


  7 in total

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

Authors:  Panagiotis Stathopoulos; Ghaly Ghaly; Bijal Sisodia; Colin Harrop
Journal:  Oral Maxillofac Surg       Date:  2015-06-07

2.  Automated identification of basal cell carcinoma by polarization-sensitive optical coherence tomography.

Authors:  Lian Duan; Tahereh Marvdashti; Alex Lee; Jean Y Tang; Audrey K Ellerbee
Journal:  Biomed Opt Express       Date:  2014-09-22       Impact factor: 3.732

3.  Diagnosis of skin lesions by trainee surgeons: experience improves accuracy.

Authors:  R A Pearl; W Townley; D Stott; A O Grobbelaar
Journal:  Ann R Coll Surg Engl       Date:  2009-06-25       Impact factor: 1.891

4.  Statistical Survey of Deaths from Nonmelanoma Skin Cancer in Japan during 54 Years.

Authors:  Hisashi Ohtsuka
Journal:  J Skin Cancer       Date:  2011-01-16

5.  Visual inspection and dermoscopy, alone or in combination, for diagnosing keratinocyte skin cancers in adults.

Authors:  Jacqueline Dinnes; Jonathan J Deeks; Naomi Chuchu; Rubeta N Matin; Kai Yuen Wong; Roger Benjamin Aldridge; Alana Durack; Abha Gulati; Sue Ann Chan; Louise Johnston; Susan E Bayliss; Jo Leonardi-Bee; Yemisi Takwoingi; Clare Davenport; Colette O'Sullivan; Hamid Tehrani; Hywel C Williams
Journal:  Cochrane Database Syst Rev       Date:  2018-12-04

6.  Visual inspection for diagnosing cutaneous melanoma in adults.

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

7.  Assessment of clinical diagnostic accuracy compared with pathological diagnosis of basal cell carcinoma.

Authors:  Ebrahimzadeh-Ardakani Mohammad; Moghimi Mansour; Kafaie Parichehr; Dehghani Farideh; Rashidi Amirhossein; Shojaoddiny-Ardekani Ahmad
Journal:  Indian Dermatol Online J       Date:  2015 Jul-Aug
  7 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.