Professor Cliff Rosendahl – Information For Doctors and Health Professionals

Cliff is a Medical Practitioner of 40 years’ experience, with a background in general practice and forensic medicine. His PhD project was in the field of skin cancer, particularly melanoma. Cliff collaborated with colleagues in Brisbane and Vienna to research the early diagnosis of melanoma and together they have evaluated and promoted the diagnostic method Chaos and Clues. Cliff is a Professor at The University of Queensland where he is director of the Master of Medicine (Skin Cancer) degree course and Visiting Professor, Department of Dermatology at Tehran University of Medical Sciences, Iran. He has published over 50 papers in peer-review scientific journals and is co-author of a textbook on dermatoscopy, published in 8 languages and is a contributing author to several other textbooks in English and two in Spanish. Cliff has a busy schedule as an invited speaker to general practitioner and dermatologist groups both in Australia and internationally.

Dermatoscopy and Skin Cancer: A handbook for hunters of skin cancer and melanoma

Dermatoscopy and Skin Cancer is a handbook to help dermatologists, dermatoscopists and GPs easily differentiate between benign and malignant tumours, leading to fewer unnecessary biopsies and earlier treatment of cancers.
Based around two easy to follow algorithms, Chaos and Clues and Pigment without Prediction, the book shows all dermatoscope users how to confidently diagnose skin lesions earlier and with greater precision.
When ordering online receive 15% off by using discount code: DNB110419


Dermatoscopy: Pattern analysis of pigmented and non-pigmented lesions

Dermatoscopy has undoubtedly advanced diagnostic accuracy of pigmented and non-pigmented skin lesions. Pattern analysis is the most powerful of current methods for dermatoscopic diagnosis, but it does present significant challenges to the learning dermatoscopist.
We present here an algorithmic method, derived from pattern analysis, based on logical analysis of simply defined geometric features. We consider this presents fewer barriers to the beginner, but retains sufficient power for the most experienced user. Most importantly, it provides a better framework for elevating experience beyond mere anecdote, allowing experience to lead to true expertise.