Publications by authors named "Niels K Ternov"

Background: The rising incidence of melanoma and the high number of benign lesions excised due to diagnostic uncertainty highlight the need for effective patient triage. This study assesses the safety and accuracy of teledermoscopic triage on a high-prevalence case set with pre-triaged, challenging, melanoma-suspicious lesions.

Methods: Five dermatologists independently reviewed 250 retrospectively extracted patient cases.

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Background: Skin cancer diagnostics is challenging, and mastery requires extended periods of dedicated practice.

Objective: The aim of the study was to determine if self-paced pattern recognition training in skin cancer diagnostics with clinical and dermoscopic images of skin lesions using a large-scale interactive image repository (LIIR) with patient cases improves primary care physicians' (PCPs') diagnostic skills and confidence.

Methods: A total of 115 PCPs were randomized (allocation ratio 3:1) to receive or not receive self-paced pattern recognition training in skin cancer diagnostics using an LIIR with patient cases through a quiz-based smartphone app during an 8-day period.

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Introduction: In image interpretation education, many educators have shifted away from traditional methods that involve passive instruction and fragmented learning to interactive ones that promote active engagement and integrated knowledge. By training pattern recognition skills in an effective manner, these interactive approaches provide a promising direction for dermoscopy education.

Objectives: A narrative review of the literature was performed to probe emerging directions in medical image interpretation education that may support dermoscopy education.

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Introduction: Efficient interpretation of dermoscopic images relies on pattern recognition, and the development of expert-level proficiency typically requires extensive training and years of practice. While traditional methods of transferring knowledge have proven effective, technological advances may significantly improve upon these strategies and better equip dermoscopy learners with the pattern recognition skills required for real-world practice.

Objectives: A narrative review of the literature was performed to explore emerging directions in medical image interpretation education that may enhance dermoscopy education.

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Background And Objective: The aim of this study was to investigate the diagnostic accuracy of ultrasound guided fine needle aspiration cytology (FNAC) and core needle biopsy (CNB) in different clinical scenarios for melanoma patients with lesions suspected of metastasis.

Methods: We included all patients at our department attending follow-up after surgery for cutaneous melanoma, who had undergone either FNAC or CNB between December 2016 and June 2019. Biopsy results were classified into one of four categories and verified with follow-up including imaging, re-biopsy or histology upon excision.

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Differentiating between benign and malignant skin lesions can be very difficult and should only be done by sufficiently trained and skilled clinicians. To our knowledge there are no validated tests for reliable assessments of clinicians' ability to perform skin cancer diagnostics. To develop and gather validity evidence for a test in skin cancer diagnostics, a multiple-choice questionnaire (MCQ) was developed based on informal interviews with seven content experts from five skin cancer centers in Denmark.

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Ultrasound-guided fine-needle aspiration cytology (US-FNAC) is used to evaluate the involvement of lymph nodes in various malignant diseases. Its value in detecting sentinel lymph node (SN) metastasis preoperatively in melanoma patients is controversial and is the subject of this study. In this prospective validation study, 91 consecutive patients with melanoma clinical stage I (n=64) and II (n=27) were examined with US-FNAC before SN biopsy from 2012 to 2014 at a tertiary center.

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