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1.
Phlebology ; : 2683555241249222, 2024 May 07.
Article in English | MEDLINE | ID: mdl-38712381

ABSTRACT

OBJECTIVES: This study aimed to investigate the impact of post-interventional compression therapy on clinical outcomes after endovenous laser ablation (EVLA) of incompetent saphenous veins. METHODS: This prospective, controlled, multicenter study in Germany involved 493 varicose vein patients followed-up for 6 months. RESULTS: Compression therapy significantly reduced symptoms compared to no compression (VCSS: 1.4 ± 1.6 vs 2.2 ± 2.2; p = .007). Post-interventional therapy duration of up to 14 days was found to be most effective for improving patient-reported disease severity (p < .001) and higher quality of life (p = .001). Patient compliance was high (82%), and non-compliance was linked to worse disease severity (VCSS 1.4 ± 1.5 vs 2.1 ± 2.3, p = .009). CONCLUSION: In conclusion, post-interventional compression therapy is beneficial by reducing symptoms and improving quality of life. High patient compliance with the therapy is observed, and non-compliance is associated with worse disease severity.

2.
Phlebology ; : 2683555241257840, 2024 May 30.
Article in English | MEDLINE | ID: mdl-38815590

ABSTRACT

BACKGROUND: The SYNCHRONOUS-study investigates simultaneous ASV-ablation with great saphenous vein (GSV) treatment in endovenous laser ablation (EVLA) for preventing varicose vein recurrence. This sub-study examines complication rates associated with prophylactic ASV-ablation. METHODS: Among 1173 patients with refluxing GSV, 604 underwent GSV-ablation only, and 569 received additional ASV-ablation. Complication rates were compared over 6 months. RESULTS: Approximately 80% of patients were complication-free with minor bruising and dysesthesia being most common complications. After 6 months, additional prophylactic ASV-ablation did not increase the rate of complications compared to GSV-only treatment. CONCLUSION: The 6-months follow-up data suggests that prophylactic ASV-closure, alongside GSV-treatment, is safe, with similar complication rates to GSV-only EVLA.

3.
Article in English | MEDLINE | ID: mdl-38483241

ABSTRACT

BACKGROUND: The detection of cutaneous metastases (CMs) from various primary tumours represents a diagnostic challenge. OBJECTIVES: Our aim was to evaluate the general characteristics and dermatoscopic features of CMs from different primary tumours. METHODS: Retrospective, multicentre, descriptive, cross-sectional study of biopsy-proven CMs. RESULTS: We included 583 patients (247 females, median age: 64 years, 25%-75% percentiles: 54-74 years) with 632 CMs, of which 52.2% (n = 330) were local, and 26.7% (n = 169) were distant. The most common primary tumours were melanomas (n = 474) and breast cancer (n = 59). Most non-melanoma CMs were non-pigmented (n = 151, 95.6%). Of 169 distant metastases, 54 (32.0%) appeared on the head and neck region. On dermatoscopy, pigmented melanoma metastases were frequently structureless blue (63.6%, n = 201), while amelanotic metastases were typified by linear serpentine vessels and a white structureless pattern. No significant difference was found between amelanotic melanoma metastases and CMs of other primary tumours. CONCLUSIONS: The head and neck area is a common site for distant CMs. Our study confirms that most pigmented melanoma metastasis are structureless blue on dermatoscopy and may mimic blue nevi. Amelanotic metastases are typified by linear serpentine vessels and a white structureless pattern, regardless of the primary tumour.

4.
Contemp Clin Trials ; 131: 107233, 2023 08.
Article in English | MEDLINE | ID: mdl-37225121

ABSTRACT

We consider the statistical analysis of clinical trial designs with multiple simultaneous treatments per subject and multiple raters. The work is motivated by a clinical research project in dermatology where different hair removal techniques were assessed based on a within-subject comparison. We assume that clinical outcomes are assessed by multiple raters as continuous or categorical scores, e.g. based on images, comparing two treatments on the subject-level in a pairwise manner. In this setting, a network of evidence on relative treatment effects is generated, which bears strong similarities to the data underlying a network meta-analysis of clinical trials. We therefore build on established methodology for complex evidence synthesis and propose a Bayesian approach to estimate relative treatment effects and to rank the treatments. The approach is, in principle, applicable to situations with any number of treatment arms and/or raters. As a major advantage, all available data is brought into a network and analyzed in one single model, which ensures consistent results among the treatment comparisons. We obtain operating characteristics via simulation and illustrate the method with a real clinical trial example.


Subject(s)
Dermatology , Humans , Bayes Theorem , Clinical Trials as Topic , Research Design
5.
Eur J Cancer ; 185: 53-60, 2023 05.
Article in English | MEDLINE | ID: mdl-36963352

ABSTRACT

BACKGROUND: The clinical diagnosis of face and scalp lesions (FSL) is challenging due to overlapping features. Dermatologists encountering diagnostically 'unclear' lesions may benefit from artificial intelligence support via convolutional neural networks (CNN). METHODS: In a web-based classification task, dermatologists (n = 64) diagnosed a convenience sample of 100 FSL as 'benign', 'malignant', or 'unclear' and indicated their management decisions ('no action', 'follow-up', 'treatment/excision'). A market-approved CNN (Moleanalyzer-Pro®, FotoFinder Systems, Germany) was applied for binary classifications (benign/malignant) of dermoscopic images. RESULTS: After reviewing one dermoscopic image per case, dermatologists labelled 562 of 6400 diagnoses (8.8%) as 'unclear' and mostly managed these by follow-up examinations (57.3%, n = 322) or excisions (42.5%, n = 239). Management was incorrect in 58.8% of 291 truly malignant cases (171 'follow-up' or 'no action') and 43.9% of 271 truly benign cases (119 'excision'). Accepting CNN classifications in unclear cases would have reduced false management decisions to 4.1% in truly malignant and 31.7% in truly benign lesions (both p < 0.01). After receiving full case information 239 diagnoses (3.7%) remained 'unclear' to dermatologists, now triggering more excisions (72.0%) than follow-up examinations (28.0%). These management decisions were incorrect in 32.8% of 116 truly malignant cases and 76.4% of 123 truly benign cases. Accepting CNN classifications would have reduced false management decisions to 6.9% in truly malignant lesions and to 38.2% in truly benign cases (both p < 0.01). CONCLUSIONS: Dermatologists mostly managed diagnostically 'unclear' FSL by treatment/excision or follow-up examination. Following CNN classifications as guidance in unclear cases seems suitable to significantly reduce incorrect decisions.


Subject(s)
Melanoma , Skin Neoplasms , Humans , Skin Neoplasms/diagnosis , Skin Neoplasms/pathology , Melanoma/pathology , Dermatologists , Scalp/pathology , Artificial Intelligence , Neural Networks, Computer , Dermoscopy/methods
6.
J Biotechnol ; 191: 236-45, 2014 Dec 10.
Article in English | MEDLINE | ID: mdl-24862193

ABSTRACT

A novel method for stepwise in vitro affinity maturation of antigen-specific shark vNAR domains is described that exclusively relies on semi-synthetic repertoires derived from non-immunized sharks. Target-specific molecules were selected from a CDR3-randomized bamboo shark (Chiloscyllium plagiosum) vNAR library using yeast surface display as platform technology. Various antigen-binding vNAR domains were easily isolated by screening against several therapeutically relevant antigens, including the epithelial cell adhesion molecule (EpCAM), the Ephrin type-A receptor 2 (EphA2), and the human serine protease HTRA1. Affinity maturation was demonstrated for EpCAM and HTRA1 by diversifying CDR1 of target-enriched populations which allowed for the rapid selection of nanomolar binders. EpCAM-specific vNAR molecules were produced as soluble proteins and more extensively characterized via thermal shift assays and biolayer interferometry. Essentially, we demonstrate that high-affinity binders can be generated in vitro without largely compromising the desirable high thermostability of the vNAR scaffold.


Subject(s)
Antibody Affinity , Antigens, Neoplasm/immunology , Cell Adhesion Molecules/immunology , Immunoglobulins/metabolism , Receptor, EphA2/chemistry , Receptors, Antigen/metabolism , Serine Endopeptidases/chemistry , Animals , Antibody Specificity , Antigens, Neoplasm/chemistry , Autoantigens/chemistry , Autoantigens/metabolism , Carrier Proteins , Cell Adhesion Molecules/chemistry , Epithelial Cell Adhesion Molecule , High-Temperature Requirement A Serine Peptidase 1 , Humans , Immunoglobulins/chemistry , Immunoglobulins/immunology , In Vitro Techniques , Nerve Tissue Proteins/chemistry , Nerve Tissue Proteins/metabolism , Peptide Library , Receptor, EphA2/immunology , Receptors, Antigen/chemistry , Receptors, Antigen/immunology , Serine Endopeptidases/immunology , Sharks/immunology
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