Literature DB >> 8089364

Accuracy in the clinical diagnosis and pattern of malignant melanoma at a dermatological clinic.

B Lindelöf1, M A Hedblad.   

Abstract

The diagnostic pattern of malignant melanoma and clinical suspicion rate has been investigated at a dermatological university clinic. Of 174 histologically proven malignant melanomas, 60 (34%) were not clinically suspected as melanomas. The accuracy of clinical diagnosis increased with level of experience. Physicians with < 1 year experience in dermatology were able to detect malignant melanoma as the first diagnosis in 31% of the cases in contrast to 63% for those with > 10 years experience. Of 50 patients immediately referred from the dermatologic clinic to surgery departments, 12 did not have melanoma.

Entities:  

Mesh:

Year:  1994        PMID: 8089364     DOI: 10.1111/j.1346-8138.1994.tb01775.x

Source DB:  PubMed          Journal:  J Dermatol        ISSN: 0385-2407            Impact factor:   4.005


  12 in total

1.  A systematic heuristic approach for feature selection for melanoma discrimination using clinical images.

Authors:  Ying Chang; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2005-08       Impact factor: 2.365

2.  Spectral indexes obtained by implementation of the fractional Fourier and Hermite transform for the diagnosis of malignant melanoma.

Authors:  Esbanyely Garza-Flores; Esperanza Guerra-Rosas; Josué Álvarez-Borrego
Journal:  Biomed Opt Express       Date:  2019-11-04       Impact factor: 3.732

3.  Colour analysis of skin lesion regions for melanoma discrimination in clinical images.

Authors:  Jixiang Chen; R Joe Stanley; Randy H Moss; William Van Stoecker
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

4.  Categorization of Common Pigmented Skin Lesions (CPSL) using Multi-Deep Features and Support Vector Machine.

Authors:  Prabira Kumar Sethy; Santi Kumari Behera; Nithiyanathan Kannan
Journal:  J Digit Imaging       Date:  2022-05-06       Impact factor: 4.903

5.  A basis function feature-based approach for skin lesion discrimination in dermatology dermoscopy images.

Authors:  R Joe Stanley; William V Stoecker; Randy H Moss; Harold S Rabinovitz; Armand B Cognetta; Giuseppe Argenziano; H Peter Soyer
Journal:  Skin Res Technol       Date:  2008-11       Impact factor: 2.365

6.  Colour histogram analysis for melanoma discrimination in clinical images.

Authors:  Yunus Faziloglu; R Joe Stanley; Randy H Moss; William Van Stoecker; Rob P McLean
Journal:  Skin Res Technol       Date:  2003-05       Impact factor: 2.365

7.  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

8.  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

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

Authors:  R Joe Stanley; Randy Hays Moss; William Van Stoecker; Chetna Aggarwal
Journal:  Comput Med Imaging Graph       Date:  2003 Sep-Oct       Impact factor: 4.790

Review 10.  Computer aided diagnostic support system for skin cancer: a review of techniques and algorithms.

Authors:  Ammara Masood; Adel Ali Al-Jumaily
Journal:  Int J Biomed Imaging       Date:  2013-12-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.