Assessment of melanoma histotypes and associated patient related factors

• Verfasst von: Hänßle, Holger [VerfasserIn]
• Verfasst von: Hoffmann, Saskia [VerfasserIn]
• Verfasst von: Buhl, Timo [VerfasserIn]
• Verfasst von: Emmert, Steffen [VerfasserIn]
• Verfasst von: Schön, Michael P. [VerfasserIn]
• Verfasst von: Bertsch, Hans Peter [VerfasserIn]
• Verfasst von: Rosenberger, Albert [VerfasserIn]
• Titel: Assessment of melanoma histotypes and associated patient related factors
• Titelzusatz: basis for a predictive statistical model
• Verf.angabe: Holger A. Haenssle, Saskia Hoffmann, Timo Buhl, Steffen Emmert, Michael P. Schön, Hans Peter Bertsch, Albert Rosenberger
• E-Jahr: 2015
• Jahr: 06 January 2015
• Umfang: 8 S.
• Teil: volume:13
• Teil: year:2015
• Teil: number:1
• Teil: pages:37-44
• Teil: extent:8
• Fussnoten: Gesehen am 11.03.2021
• Titel Quelle: Enthalten in: Deutsche Dermatologische GesellschaftJournal der Deutschen Dermatologischen Gesellschaft
• Ort Quelle: Berlin : Wiley-Blackwell, 2003
• Jahr Quelle: 2015
• Band/Heft Quelle: 13(2015), 1, Seite 37-44
• ISSN Quelle: 1610-0387
• DOI: doi:10.1111/ddg.12561
• Datenträger: Online-Ressource
• Sprache: eng
• K10plus-PPN: 1751089584

Abstract

Background: Certain melanoma histotypes carry a worse prognosis than others. We aimed to identify patient related factors associated with specific melanoma histotypes. Patients and methods: Single center study including 347 melanoma patients, prospectively assessed for 22 variables leading to a database of more than 7 600 features. Results: Melanomas were histologically categorized as superficial spreading (SSM, 70.6 %), nodular (NM; 12.7 %), acrolentiginous (ALM; 4.0 %), lentigo maligna (LMM; 3.8 %), or unclassified melanoma (UCM; 8.9 %). Well recognized melanoma risk indicators (i. e. many atypical nevi, freckles, previous melanoma), were significantly associated with SSM and LMM histotypes. NM and ALM patients carried significantly less common and/or atypical nevi. NM were mostly self-detected or detected by relatives. In contrast, SSM, LMM, and ALM were most frequently detected by dermatologists. NM and UCM were preferentially located on poorly observable sites, SSM on the lower limbs, ALM on plantar sites, and LMM on the head and neck. ALM and LMM patients were significantly older than other patients. A multinomial logistic model was designed to predict a certain melanoma histotype (overall accuracy 81 %), which could be helpful to focus the attention of clinicians or may be integrated into fully automated diagnostic algorithms. Conclusions: Melanoma histotypes show significant differences regarding patients’ characteristics.