• KOL
    • Confocal Microscopy
    • Rainer Hofmann‐wellenhof
    • Rainer Hofmann‐Wellenhof: Influence Statistics

      Rainer Hofmann‐Wellenhof

      Rainer Hofmann‐Wellenhof

      Department of Dermatology, Medical University of Graz, Graz, Austria | Department of Dermatology, Medical University of Graz, Graz, Austria. | Department of Dermatology and ...

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      Rainer Hofmann‐Wellenhof:Expert Impact

      Concepts for whichRainer Hofmann‐Wellenhofhas direct influence:Confocal microscopy,Image analysis,Scalp naevi,Reflectance confocal microscopy,Normal skin,Melanocytic nevi,Skin cancer,Dermoscopic criteria.

      Rainer Hofmann‐Wellenhof:KOL impact

      Concepts related to the work of other authors for whichfor which Rainer Hofmann‐Wellenhof has influence:Skin cancer,Confocal microscopy,Dermoscopic features,Basal cell carcinoma,Actinic keratosis,Melanocytic lesions,Cutaneous melanoma.

      KOL Resume for Rainer Hofmann‐Wellenhof

      Year
      2021

      Department of Dermatology, Medical University of Graz, Graz, Austria

      Abteilung für Dermatologie und Venerologie, Medizinische Universität Graz, Graz, Österreich

      2020

      Universitätsklinik für Dermatologie, Medizinische Universität Graz, Graz, Österreich

      Department of Dermatology, Medical University of Graz, Graz, Germany

      Medical University of Graz, Graz, Austria

      2019

      Department of Dermatology, University Hospital Graz, Graz, Austria

      Univ.-Klinik für Dermatologie & Venerologie, Medizinische Universität Graz, Graz, Österreich

      2018

      Department of Dermatology, Graz Medical University, Graz, Austria

      Universitätsklinik für Dermatologie und Venerologie, Medizinische Universität Graz, Auenbruggerplatz 8, 8036, Graz, Österreich

      2017

      Department of Dermatology Medical University of Graz Graz Austria

      2016

      Department of Dermatology, Medical University Graz, Graz, Austria

      Universitätsklinik für Dermatologie und Venerologie Medizinische Universität Graz Österreich

      2015

      Department of Dermatology, University of Graz, Graz, Austria.

      Division of Dermatology and Venereology, Medical University of Graz, Graz, Austria

      2014

      Department Dermatology, University Graz, Graz, Austria

      Klinik für Dermatologie und Venerologie, Medizinische Universität Graz, Graz, Österreich

      2013

      Departments of Dermatology (Drs Arzberger, Massone, and Hofmann-Wellenhof) and Environmental Dermatology and Venereology (Dr Komericki), Medical University of Graz, Graz, Austria

      2012

      Professor of Dermatology, Department of Dermatology, University of Graz, Austria

      2011

      Clinical Professor, Department of Dermatology, New York University School of Medicine, New York, NY, USA

      Director, Cockerell and Associates Dermpath Diagnostics

      Division of Dermatology, Medical University of Graz, Graz, Austria

      Department of Dermatology, Medical University of Graz

      2010

      Department of Dermatology (Drs Frühauf, Ambros-Rudolph, Weger, Ahlgrimm-Siess, Salmhofer, and Hofmann-Wellenhof) and Institute for Medical Informatics, Statistics and Documentation (Mr Schwantzer), Medical University of Graz, Graz, Austria.

      2009

      Division of Oncology, Department of Internal Medicine, *Department of Dermatology and †Institute for Medical Informatics, Statistics and Documentation, Medical University Graz, Auenbruggerplatz 15, A‐8036 Graz, Austria

      Department of Dermatology (Drs Binder, Salmhofer, and Hofmann-Wellenhof), Medical University of Graz (Mss Kroemer and Custovic)

      Abteilung für Dermatologie und Venerologie, Medizinische Universität Graz, Österreich

      2008

      Department of Dermatology, Medical University of Graz, 8036 Graz, Austria

      Forschungseinheit Teledermatologie, Abteilung für Allgemeine Dermatologie, Universitäts‐Hautklinik, Medizinische Universität Graz

      2007

      Department of Dermatology, Medical University of Graz; Graz, Austria

      2006

      Universitätsklinik für Dermatologie und Venerologie,Medizinische Universität Graz,Austria

      Department of Dermatology, Medical University of Graz, Graz, Austria (Drs Kolm, Hofmann-Wellenhof, Fink-Puches, Wolf, Richtig, Smolle, Kerl, Soyer, and Zalaudek)

      2005

      Department of Dermatology and, Institute for Medical Informatics, Statistics and Documentation, University of Graz, Graz, Austria

      2004

      Departments of Dermatology, Second University of Naples, Naples, Italy (Drs Argenziano, Cicale, Petrillo, and Ruocco), and Medical University of Graz, Graz, Austria (Drs Zalaudek, Hofmann-Wellenhof, and Soyer)

      Department of Dermatology, University of Graz, Graz, Austria
*Department of Dermatology, Second University of Naples, Via S. Pansini 5, I‐80131 Naples, Italy
†Department of Dermatology, University Tor Vergata, Rome, Italy
‡Department of Dermatology, Melanoma Unit, Hospital Clinic, IDIBAPS, Barcelona, Spain
§Division of Preventive Oncology, Centro di Riferimento Oncologico, Aviano, Italy
¶Dermatology Unit, Hotel Dieu de Lyon, Lyon, France

      University of Graz, Graz, Austria.

      2003

      Universitäts-Hautklinik Graz, Österreich

      (1) Department of Dermatology, University of Graz, Austria 
 (2) Department of Dermatology, Second University of Naples, Naples, Italy 
 
Received: 12. 11. 2002 | Accepted: 26. 3. 2003

      Department of Dermatology, University of Graz, Graz, Austria;, Department of Dermatology, Second University of Naples, Naples, Italy

      2002

      Department of Dermatology, University of Graz, A-8036 Graz, Austria

      Sample of concepts for which Rainer Hofmann‐Wellenhof is among the top experts in the world.
      Concept World rank
      dermatoscopy genital #1
      opinions publication animals #1
      melanoma asymmetry #1
      nichtmelanozytären #1
      pigmented psychology attitudes #1
      common skin neoplasms #1
      spontaneous answers #1
      external ear evidence #1
      teledermatology diagnostic agreement #1
      outpatient consultation oca #1
      rcm correct diagnosis #1
      rcm radiotherapy #1
      mucosal membranes lesions #1
      melanoma prevention efforts #1
      term mole #1
      720 melanomas #1
      objectivesthis descriptive study #1
      fourteen sk #1
      assessing pigmented #1
      dermatologists appraisals #1
      paget disease basis #1
      nevi sunburn #1
      “ugly duckling #1
      edged dermal papillae #1
      melanom drittel reduziert #1
      eccentric peripheral #1
      showing dermoscopic #1
      benign papillomatous #1
      metastatic disease ssms #1
      nests adnexal openings #1
      milkyred areas #1
      physicians enhances #1
      round vessels lesions #1
      ancillary rcm #1
      cis balanitis #1
      diagnosis dermatoscopy #1
      rcm noninvasive imaging #1
      rare condition accounting #1
      assessed rcm #1
      melanoma specificity 58 #1
      telemedicine austria #1
      structures atypical #1
      adnexal openings sheets #1
      balanitis cases #1
      patient acceptance dlqi #1
      bezug melanomdiagnose #1
      diagnostische spezifität #1
      naevi background #1
      erfolgreiche regionale #1
      ∆ oca #1

      Prominent publications by Rainer Hofmann‐Wellenhof

      KOL-Index: 14199

      BACKGROUND: Preliminary studies have described morphological features of basal cell carcinoma (BCC) imaged by high-definition optical coherence tomography (HD-OCT) and suggested that this technique may aid in its diagnosis and management. However, systematic studies evaluating the accuracy of HD-OCT for the diagnosis of BCC are lacking.

      OBJECTIVE: The aim of this study was to identify three-dimensional (3-D) HD-OCT features able i) to distinguish BCC from clinical BCC imitators and ii) ...

      Known for Optical Coherence | Basal Cell Carcinoma | Bcc Subtypes | Hd Oct | Diagnostic Algorithm
      KOL-Index: 14119

      BACKGROUND: Preliminary studies described morphological features of actinic keratosis (AK) and squamous cell carcinoma (SCC) imaged by High-Definition Optical Coherence Tomography (HD-OCT) and suggested that this technique may aid in their diagnosis. However, systematic studies evaluating the accuracy of HD-OCT for the diagnosis of AK and SCC are lacking so far.

      OBJECTIVE: In this study, we sought to design an algorithm for AK classification that could (i) distinguish SCC from AK and ...

      Known for Normal Skin | Optical Coherence | Actinic Keratosis | Squamous Cell Carcinoma | Tomography Algorithm
      KOL-Index: 11738

      Exposing human skin to ultraviolet radiation causes DNA damage, sunburn, immune alterations, and eventually, skin cancer. We wished to determine whether liposomes containing a DNA repair enzyme could prevent any of the acute effects of irradiation when applied after ultraviolet exposure. Fifteen human patients with a prior history of skin cancer were exposed to two minimal erythema doses of ultraviolet radiation on their buttock skin. Liposomes containing T4 endonuclease V or ...

      Known for T4 Endonuclease | Necrosis Factor | Topical Treatment | Human Skin | Ultraviolet Radiation
      KOL-Index: 11555

      Importance: Deep learning convolutional neural networks (CNNs) have shown a performance at the level of dermatologists in the diagnosis of melanoma. Accordingly, further exploring the potential limitations of CNN technology before broadly applying it is of special interest.

      Objective: To investigate the association between gentian violet surgical skin markings in dermoscopic images and the diagnostic performance of a CNN approved for use as a medical device in the European market.

      Design ...

      Known for Dermoscopic Images | Diagnostic Performance | Melanoma Recognition | Skin Markings | Roc Auc
      KOL-Index: 10874

      BACKGROUND: There is a need for better standardization of the dermoscopic terminology in assessing pigmented skin lesions.

      OBJECTIVE: The virtual Consensus Net Meeting on Dermoscopy was organized to investigate reproducibility and validity of the various features and diagnostic algorithms.

      METHODS: Dermoscopic images of 108 lesions were evaluated via the Internet by 40 experienced dermoscopists using a 2-step diagnostic procedure. The first-step algorithm distinguished melanocytic versus ...

      Known for Pigmented Skin Lesions | Consensus Meeting | Diagnostic Algorithms | Basal Cell Diagnosis | Pattern Analysis
      KOL-Index: 10823

      BACKGROUND: Convolutional neural networks (CNNs) efficiently differentiate skin lesions by image analysis. Studies comparing a market-approved CNN in a broad range of diagnoses to dermatologists working under less artificial conditions are lacking.

      MATERIALS AND METHODS: One hundred cases of pigmented/non-pigmented skin cancers and benign lesions were used for a two-level reader study in 96 dermatologists (level I: dermoscopy only; level II: clinical close-up images, dermoscopy, and ...

      Known for Skin Lesions | Cnn Dermatologists | Sensitivity Specificity | Neural Network | Management Decisions
      KOL-Index: 10631

      BACKGROUND: Several dermoscopic and in vivo reflectance confocal microscopy (RCM) diagnostic criteria of lentigo maligna (LM)/lentigo maligna melanoma (LMM) have been identified. However, no study compared the diagnostic accuracy of these techniques.

      OBJECTIVE: We evaluated the diagnostic accuracy of dermoscopy and RCM for LM/LMM using a holistic assessment of the images.

      METHODS: A total of 223 facial lesions were evaluated by 21 experts. Diagnostic accuracy of the clinical, dermoscopic ...

      Known for Confocal Microscopy | Lm Lmm | Dermoscopy Rcm | Lentigo Maligna | Techniques Diagnosis
      KOL-Index: 10362

      BACKGROUND: Benign melanocytic skin lesions may be difficult to differentiate from melanoma both clinically and dermoscopically. One of the most confounding dermoscopic features, commonly seen in melanoma but in our experience also in melanocytic naevi, is represented by the so-called blue-white structures (BWS).

      OBJECTIVES: To evaluate diagnostic significance and histopathological correlates of BWS seen by dermoscopy in a series of clinically equivocal melanocytic skin lesions that were ...

      Known for Skin Lesions | Melanocytic Naevi | Histopathological Correlates | Spontaneous Nevus | Lesion Surface
      KOL-Index: 9944

      BACKGROUND: Based on the dermoscopic classification of acquired melanocytic naevi, six different dermoscopic types can be distinguished by morphology (globular, globular-reticular, globular-homogeneous, reticular, reticular-homogeneous, homogeneous) and by pigment distribution (uniform, central hyperpigmentation, central hypopigmentation, peripheral hyperpigmentation, peripheral hypopigmentation, multifocal hyper/hypopigmentation). It has been suggested that most individuals harbour one ...

      Known for Melanocytic Naevi | Dermoscopy Patterns | Dermoscopic Types | Individuals Age | Reticular Globular
      KOL-Index: 9285

      IMPORTANCE: The comparative diagnostic performance of dermoscopic algorithms and their individual criteria are not well studied.

      OBJECTIVES: To analyze the discriminatory power and reliability of dermoscopic criteria used in melanoma detection and compare the diagnostic accuracy of existing algorithms.

      DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective, observational study of 477 lesions (119 melanomas [24.9%] and 358 nevi [75.1%]), which were divided into 12 image sets that ...

      Known for Dermoscopic Criteria | Abcd Rule | Differentiate Nevi | Melanoma Detection | Algorithms Dermoscopy
      KOL-Index: 9094

      BACKGROUND: Superficial BCCs (sBCCs) usually appear as multiple lesions in chronic sun-damaged skin of elderly people and may show a destructive growth if left untreated. Non-invasive treatment modalities, such as cryotherapy have been employed for sBCCs, all failing to provide tissue for confirming diagnosis and assessing adequacy of tumour removal. Reflectance confocal microscopy (RCM), a new non-invasive imaging technique has proven to be a useful tool for detection of basal cell ...

      Known for Confocal Microscopy | Basal Cell | Vivo Reflectance | Cryotherapy Treatment | Upper Dermis
      KOL-Index: 9049

      BACKGROUND: Skin self-examinations supplemented with mobile teledermoscopy might improve early detection of skin cancers compared with naked-eye skin self-examinations. We aimed to assess whether mobile teledermoscopy-enhanced skin self-examination can improve sensitivity and specificity of self-detection of skin cancers when compared with naked-eye skin self-examination.

      METHODS: This randomised, controlled trial was done in Brisbane (QLD, Australia). Eligible participants (aged ≥18 ...

      Known for Skin Cancer | Participants Intervention | Controlled Trial | Sensitivity Specificity | Mobile Teledermoscopy
      KOL-Index: 8948

      BACKGROUND: Even though progress has been made, the detection of melanoma still poses a challenge. In light of this situation, the Nevisense electrical impedance spectroscopy (EIS) system (SciBase AB, Stockholm, Sweden) was designed and shown to have the potential to be used as an adjunct diagnostic tool for melanoma detection.

      OBJECTIVES: To assess the effectiveness and safety of the Nevisense system in the distinction of benign lesions of the skin from melanoma with electrical ...

      Known for Melanoma Detection | Clinical Performance | Observed Sensitivity | Basal Cell Carcinoma | Skin Lesions
      KOL-Index: 8904

      BACKGROUND: The dermoscopic classification is a useful tool for handling patients with atypical naevi (Clark naevi).

      OBJECTIVES: To investigate if the dermoscopic classification of atypical naevi is of any value to discriminate benign from malignant melanocytic lesions.

      METHODS: Consecutive patients (n = 205) were included with 254 suspicious melanocytic lesions, confirmed by histopathology at the Pigmented Lesions Clinic of the Department of Dermatology, University Medical Center, ...

      Known for Melanocytic Lesions | Threestructure Type | Dermoscopic Images | Clark Naevi | Reticular Homogeneous

      Key People For Confocal Microscopy

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      Department of Dermatology, Medical University of Graz, Graz, Austria | Department of Dermatology, Medical University of Graz, Graz, Austria. | Department of Dermatology and Venereology, Medical University of Graz, Graz, Austria | Abteilung für Dermat

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