Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Gerger, A; Hofmann-Wellenhof, R; Langsenlehner, U; Richtig, E; Koller, S; Weger, W; Ahlgrimm-Siess, V; Horn, M; Samonigg, H; Smolle, J.
In vivo confocal laser scanning microscopy of melanocytic skin tumours: diagnostic applicability using unselected tumour images.
Br J Dermatol. 2008; 158(2):329-333
Doi: 10.1111/j.1365-2133.2007.08389.x
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- Führende Autor*innen der Med Uni Graz
- Gerger Armin
- Co-Autor*innen der Med Uni Graz
- Ahlgrimm-Siess Verena
- Hofmann-Wellenhof Rainer
- Horn Michael
- Koller Silvia Eleonore
- Langsenlehner Uwe
- Richtig Erika
- Samonigg Hellmut
- Smolle Josef
- Weger Wolfgang
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- Abstract:
- Background In vivo confocal laser scanning microscopy (CLSM) represents a novel imaging tool that allows the noninvasive examination of skin cancer morphology in real time at a 'quasi-histopathological' resolution viewing microanatomical structures and individual cells. Objectives To validate diagnostic confocal examination of melanocytic skin tumours using unselected tumour images. Methods In the present study, we used a total of 3709 unselected CLSM tumour images obtained from 20 malignant melanomas and 50 benign naevi. The entire set of images derived from each tumour was evaluated by independent observers. Classification tree analysis based on a subsample of 857 tumour images was performed to develop a diagnostic algorithm. Results Overall, sensitivity and specificity of 97.5% and 99% could be achieved by the independent observers (positive predictive value 97.5%, negative predictive value 99%). Classification tree analysis yielded a three-step algorithm based on only three morphological CLSM features, facilitating a correct classification in 92.4% of the benign naevus images and 97.6% of melanoma images. Conclusions In vivo CLSM augurs a sea change in the way we will view skin tumour processes clinically at the bedside and merits application for use as a screening tool in skin oncology.
- Find related publications in this database (using NLM MeSH Indexing)
- Algorithms -
- Female -
- Humans -
- Male -
- Melanoma - diagnosis Melanoma - pathology
- Microscopy, Confocal - standards
- Sensitivity and Specificity -
- Skin Neoplasms - diagnosis Skin Neoplasms - pathology