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Accuracy of Clinical Skin Tumour Diagnosis in a Dermatological Setting.

Ahnlide, Ingela LU and Bjellerup, Mats LU (2013) In Acta Dermato-Venereologica 93(3). p.305-308
Abstract
The aim of this study was to evaluate the accuracy of preoperative diagnosis of skin tumours in a dermatological setting. Patients undergoing skin surgery at the Department of Dermatology without preoperative biopsy were prospectively enrolled. Preoperatively, a single clinical diagnosis was registered. The histopathological diagnosis, performed after excision, was registered as the correct diagnosis. The sensitivity and positive predictive value of the clinical diagnosis were calculated. A total of 2,953 tumours were included. Altogether, 55.1% of the excised lesions were malignant. Excision margins for malignant tumours were free from tumour cells in 96.0% of cases. The sensitivity for diagnosis of malignant tumour was 98.0% and the... (More)
The aim of this study was to evaluate the accuracy of preoperative diagnosis of skin tumours in a dermatological setting. Patients undergoing skin surgery at the Department of Dermatology without preoperative biopsy were prospectively enrolled. Preoperatively, a single clinical diagnosis was registered. The histopathological diagnosis, performed after excision, was registered as the correct diagnosis. The sensitivity and positive predictive value of the clinical diagnosis were calculated. A total of 2,953 tumours were included. Altogether, 55.1% of the excised lesions were malignant. Excision margins for malignant tumours were free from tumour cells in 96.0% of cases. The sensitivity for diagnosis of malignant tumour was 98.0% and the positive predictive value was 85.3%. In line with previous studies, the sensitivity and positive predictive value were highest for basal cell carcinoma, 95.4% and 85.9%, respectively. For squamous cell carcinoma, the corresponding values were 68.0% and 67.3%, and for melanoma, 70.6% and 51.3%. (Less)
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type
Contribution to journal
publication status
published
subject
in
Acta Dermato-Venereologica
volume
93
issue
3
pages
305 - 308
publisher
Medical Journals Limited
external identifiers
  • wos:000320343800010
  • pmid:23538779
  • scopus:84876999692
  • pmid:23538779
ISSN
1651-2057
DOI
10.2340/00015555-1560
language
English
LU publication?
yes
id
458a5838-70b3-4c2c-95c2-3a2e975e7160 (old id 3627553)
alternative location
http://www.ncbi.nlm.nih.gov/pubmed/23538779?dopt=Abstract
date added to LUP
2016-04-01 09:48:04
date last changed
2022-02-17 03:21:54
@article{458a5838-70b3-4c2c-95c2-3a2e975e7160,
  abstract     = {{The aim of this study was to evaluate the accuracy of preoperative diagnosis of skin tumours in a dermatological setting. Patients undergoing skin surgery at the Department of Dermatology without preoperative biopsy were prospectively enrolled. Preoperatively, a single clinical diagnosis was registered. The histopathological diagnosis, performed after excision, was registered as the correct diagnosis. The sensitivity and positive predictive value of the clinical diagnosis were calculated. A total of 2,953 tumours were included. Altogether, 55.1% of the excised lesions were malignant. Excision margins for malignant tumours were free from tumour cells in 96.0% of cases. The sensitivity for diagnosis of malignant tumour was 98.0% and the positive predictive value was 85.3%. In line with previous studies, the sensitivity and positive predictive value were highest for basal cell carcinoma, 95.4% and 85.9%, respectively. For squamous cell carcinoma, the corresponding values were 68.0% and 67.3%, and for melanoma, 70.6% and 51.3%.}},
  author       = {{Ahnlide, Ingela and Bjellerup, Mats}},
  issn         = {{1651-2057}},
  language     = {{eng}},
  number       = {{3}},
  pages        = {{305--308}},
  publisher    = {{Medical Journals Limited}},
  series       = {{Acta Dermato-Venereologica}},
  title        = {{Accuracy of Clinical Skin Tumour Diagnosis in a Dermatological Setting.}},
  url          = {{https://lup.lub.lu.se/search/files/1261329/3802248.pdf}},
  doi          = {{10.2340/00015555-1560}},
  volume       = {{93}},
  year         = {{2013}},
}