Aimilios Lallas: Influence Statistics

Aimilios Lallas

Aimilios Lallas

First Department of Dermatology, School of Medicine, Faculty of Health Sciences, Aristotle University, Thessaloniki, Greece. | First Department of Dermatology, Aristotle ...

Aimilios Lallas: Expert Impact

Concepts for which Aimilios Lallas has direct influence: Confocal microscopy , Basal cell carcinoma , Dermoscopic features , Basal cell , Skin cancer , Dermoscopic criteria , Cell carcinoma .

Aimilios Lallas: KOL impact

Concepts related to the work of other authors for which for which Aimilios Lallas has influence: Skin cancer , Confocal microscopy , Basal cell carcinoma , Artificial intelligence , Dermoscopic features , Deep learning , Actinic keratosis .

KOL Resume for Aimilios Lallas


First Department of Dermatology, School of Medicine, Faculty of Health Sciences, Aristotle University, Thessaloniki, Greece.


First Dermatology Department, Aristotle University of Thessaloniki Faculty of Health Sciences, Thessaloniki, Central Macedonia, Greece


First Department of Dermatology, Aristotle University , Thessaloniki, Greece.

1st Dermatology Department, Aristotle University of Thessaloniki, Thessaloniki, Greece


First Department of Dermatology, Aristotele University, Thessaloniki, Greece


First Dermatology Department, Aristotle University Thessaloniki, Thessaloniki, Greece


First Dermatology Department Medical School Aristotle University of Thessaloniki Thessaloniki Greece

Skin Cancer Unit, Arcispedale Santa Maria Nuova IRCCS, Reggio Emilia


Dermatology and Skin Cancer Unit, Arcispedale Santa Maria Nuova IRCCS, Viale Risorgimento 80, Reggio Emilia, Italy


Skin Cancer Unit, Arcispedale S. Maria Nuova, IRCCS (Istituto Di Ricovero e Cura a Carattere Scientifico), Reggio Emilia, Italy

Prominent publications by Aimilios Lallas

KOL-Index: 13581 . BACKGROUND: Melanoma is the leading cause of skin cancer-associated mortality. The vast majority of newly diagnosed melanomas are confined to the primary cutaneous site. Surgery represents the mainstay of melanoma treatment. Treatment strategies include wide excision of the primary tumour and sentinel lymph node biopsy (SLNB) to assess the status of the regional nodal basin(s). SLNB has ...
Known for Lymph Node | Cutaneous Melanoma | Participants 95 | Wide Excision
KOL-Index: 11720 . The European Academy of Dermatology and Venereology (EADV) Task Forces (TFs) on Quality of Life (QoL) and Patient Oriented Outcomes, Melanoma and Non-Melanoma Skin Cancer (NMSC) present a review of the literature and position statement on health-related (HR) QoL assessment in skin cancer patients. A literature search was carried out to identify publications since 1980 that included ...
Known for Skin Cancer | Patient Oriented Outcomes | Life Qol | Position Paper
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 ...
Known for Dermoscopic Images | Diagnostic Performance | Melanoma Recognition | Skin Markings
KOL-Index: 11434 . BACKGROUND: Whether machine-learning algorithms can diagnose all pigmented skin lesions as accurately as human experts is unclear. The aim of this study was to compare the diagnostic accuracy of state-of-the-art machine-learning algorithms with human readers for all clinically relevant types of benign and malignant pigmented skin lesions. METHODS: For this open, web-based, international, ...
Known for Learning Algorithms | Human Readers | Pigmented Skin | Lesion Classification
KOL-Index: 11010 . BACKGROUND: Dermoscopy is useful in evaluating skin tumours, but its applicability extends also to the field of inflammatory skin disorders. Plaque psoriasis (PP), dermatitis, lichen planus (LP) and pityriasis rosea (PR) are common inflammatory skin diseases, but little is currently known about their dermoscopic features. OBJECTIVES: To determine and compare the dermoscopic patterns ...
Known for Pityriasis Rosea | Lichen Planus | Dermoscopic Criteria | Dotted Vessels
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 ...
Known for Skin Lesions | Cnn Dermatologists | Sensitivity Specificity | Neural Network
KOL-Index: 10196 . BACKGROUND: The management of basal cell carcinoma (BCC) depends, among other factors, on its histopathologic subtype. Although dermoscopic criteria of BCC have been investigated, the possible role of dermoscopy in predicting the tumor subtype remains unclear. OBJECTIVES: We sought to assess the diagnostic accuracy of dermoscopic criteria for differentiating superficial BCC (sBCC) from ...
Known for Dermoscopic Criteria | Basal Cell | Needle Carcinoma | Diagnosis Sbcc
KOL-Index: 9816 . Importance: The accuracy of melanoma-specific dermoscopic criteria has been tested mainly in studies including invasive tumors. Scarce evidence exists on the usefulness of these criteria for the diagnosis of melanoma in situ (MIS). Objective: To investigate the diagnostic accuracy of dermoscopic criteria for the diagnosis of MIS. Design, Setting, and Participants: A diagnostic accuracy ...
Known for Dermoscopic Criteria | Diagnosis Melanoma | Atypical Network | Prominent Skin Markings
KOL-Index: 8788 . Importance: Reflectance confocal microscopy (RCM) improves diagnostic accuracy in skin cancer detection when combined with dermoscopy; however, little evidence has been gathered regarding its real impact on routine clinical workflow, and, to our knowledge, no studies have defined the terms for its optimal application. Objective: To identify lesions on which RCM performs better in terms of ...
Known for Reflectance Confocal Microscopy | Lesions Rcm | Basal Cell Carcinoma | Dermoscopy Diagnosis
KOL-Index: 8771 . BACKGROUND: Dermoscopy improves the recognition of melanoma and Spitz nevus but occasionally melanoma may exhibit a symmetric pattern mimicking Spitz nevus. OBJECTIVE: We sought to investigate the likelihood of finding melanoma when excising a symmetric Spitzoid-looking lesion in patients aged 12 years or older. METHODS: This study included patients aged 12 years or older with symmetric, ...
Known for Spitz Nevus | 12 Years | Melanoma Patients | Spindle Cell
KOL-Index: 8561 . BACKGROUND: Basosquamous carcinoma (BSC) is a rare and potentially aggressive tumour, characterized by clinical and pathological features of both basal cell carcinoma (BCC) and squamous cell carcinoma (SCC). It is reported to have a nonspecific clinical presentation, which makes naked-eye diagnosis a challenge. OBJECTIVES: To describe the dermoscopic patterns of BSC, which may facilitate ...
Known for Basosquamous Carcinoma | Bcc Scc | Early Diagnosis | Dermoscopic Pattern
KOL-Index: 8431 . BACKGROUND: Over the last few years, several articles on dermoscopy of non-neoplastic dermatoses have been published, yet there is poor consistency in the terminology among different studies. OBJECTIVES: We aimed to standardize the dermoscopic terminology and identify basic parameters to evaluate in non-neoplastic dermatoses through an expert consensus. METHODS: The modified Delphi method ...
Known for General Dermatology | Neoplastic Dermatoses | Dermoscopic Terminology | International Dermoscopy
KOL-Index: 8180 . Sentinel lymph node biopsy has been proposed as a diagnostic method for estimation of the malignant potential of atypical Spitz tumours. However, although cell deposits are commonly detected in the sentinel lymph nodes of patients with atypical Spitz tumours, their prognosis is substantially better than that of patients with melanoma and positive sentinel lymph node biopsies. We did a ...
Known for Atypical Spitz Tumours | Sentinel Lymph | Node Biopsy | Malignant Potential
KOL-Index: 8117 . Importance: Convolutional neural networks (CNNs) achieve expert-level accuracy in the diagnosis of pigmented melanocytic lesions. However, the most common types of skin cancer are nonpigmented and nonmelanocytic, and are more difficult to diagnose. Objective: To compare the accuracy of a CNN-based classifier with that of physicians with different levels of experience. Design, Setting, and ...
Known for Neural Networks | Skin Cancer | Human Raters | Dermoscopy Diagnosis

Key People For Confocal Microscopy

Top KOLs in the world
Milind M Rajadhyaksha
confocal microscopy human skin mohs surgery
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confocal microscopy photodynamic therapy polypodium leucotomos
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fluorescent proteins living cells protein kinase
Watt W Webb
multiphoton microscopy fluorescence correlation cell surface
Pellacani Pellacani
confocal microscopy actinic keratosis basal cell
Caterina Longo
confocal microscopy basal cell carcinoma melanocytic lesions

First Department of Dermatology, School of Medicine, Faculty of Health Sciences, Aristotle University, Thessaloniki, Greece. | First Department of Dermatology, Aristotle University, Thessaloniki, Greece | First Department of Dermatology, School of Me