Publications by authors named "Lisa Kostner"

Since December 2019, the COVID-19 pandemic has profoundly affected healthcare. The real effects of the COVID-19 pandemic on skin cancer are still unclear, more than 3 years later. This study aims to summarise the pandemic's impact on skin cancer diagnosis and outcome.

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Background: Artificial intelligence (AI) shows promising potential to enhance human decision-making as synergistic augmented intelligence (AuI), but requires critical evaluation for skin cancer screening in a real-world setting.

Objectives: To investigate the perspectives of patients and dermatologists after skin cancer screening by human, artificial and augmented intelligence.

Methods: A prospective comparative cohort study conducted at the University Hospital Basel included 205 patients (at high-risk of developing melanoma, with resected or advanced disease) and 8 dermatologists.

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Article Synopsis
  • This study compared the effectiveness of 2D and 3D convolutional neural networks (CNNs) and dermatologists in detecting melanoma in real-life scenarios, involving 1,690 melanocytic lesions in high-risk patients.
  • The results showed that 3D-CNN outperformed both 2D-CNN and dermatologists in terms of sensitivity (90%) and had a high ROC-AUC score (0.92), although dermatologists and augmented intelligence matched the sensitivity of 3D-CNN while having superior specificity.
  • The 2D-CNN performed poorly with a sensitivity of 70% and specificity of only 40%, indicating that the 3D-CNN is more reliable in early melanoma detection.
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Introduction: The worldwide incidence of melanoma has been increasing rapidly in recent decades with Switzerland having one of the highest rates in Europe. Ultraviolet (UV) radiation is one of the main risk factors for skin cancer. Our objective was to investigate UV protective behavior and melanoma awareness in a high-risk cohort for melanoma.

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The exponential increase in algorithm-based mobile health (mHealth) applications (apps) for melanoma screening is a reaction to a growing market. However, the performance of available apps remains to be investigated. In this prospective study, we investigated the diagnostic accuracy of a class 1 CE-certified smartphone app in melanoma risk stratification and its patient and dermatologist satisfaction.

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At the early stages of the COVID-19 outbreak in 2020, Switzerland was among the countries with the highest number of SARS-CoV2-infections per capita in the world. Lockdowns had a remarkable impact on primary care access and resulted in postponed cancer screenings. The aim of this study was to investigate the effects of the COVID-19 lockdown on the diagnosis of melanomas and stage of melanomas at diagnosis.

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Article Synopsis
  • - Allergic contact dermatitis (ACD) is a skin condition that results from an immune response to harmless substances, which can lead to serious health and social issues.
  • - Diagnosis of ACD relies on thorough patient history and clinical examination, with patch testing being the standard method for identifying triggers.
  • - Traditional treatments include topical steroids, calcineurin inhibitors, and phototherapy, but there is a lack of targeted therapies for ACD.
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Background: Technically assisted assessment of volume status before surgery may be useful to direct intraoperative fluid administration. We therefore tested a recently developed whole-body bioimpedance spectroscopy device to determine pre- to postoperative fluid distribution.

Methods: Using a three-compartment physiologic tissue model, the body composition monitor (BCM, Fresenius Medical Care, Germany) measures total body fluid volume, extracellular volume, intracellular volume and fluid overload as surplus or deficit of 'normal' extracellular volume.

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