Objective: We determine if the use of Multispectral Digital Skin Lesion Analysis for the evaluation of nevi in children and possible detection of malignancies.

Evidence Review: Evidence gathered from a pivotal study involving 1,383 patients with 1,831-pigmented lesions. The isolated use of the pediatric population within this study was used to determine the specificity and sensitivity of such a device with comparison to a dermatologists evaluation.

Findings: For all lesions from the assessed pediatric population the biopsy ratio was equivalent for the Multispectral Digital Skin Lesion Analysis device as for the dermatologists when performing as independent reviewers. Furthermore analyzed data suggests that dermatologists who incorporate the Multispectral Digital Skin Lesion Analysis device perform better than they would independently or if they were to follow the device blindly without incorporating their own judgment.

Conclusion And Relevance: An approach that integrates automated imaging technology like the Multispectral Digital Skin Lesion Analysis device, along with another diagnostic aid, with the end result being cost-effective, easy to use by even non-experts and comforting for the pediatric patient is likely to compete to be the new gold standard in successful early diagnosis and management of melanoma.

Download full-text PDF

Source

Publication Analysis

Top Keywords

multispectral digital
20
digital skin
20
skin lesion
20
lesion analysis
20
analysis device
12
analysis evaluation
8
evaluation nevi
8
nevi children
8
pediatric population
8
multispectral
5

Similar Publications

Purpose: The color of Papanicolaou-stained specimens is a crucial feature in cytology diagnosis. However, the quantification of color using digital images is challenging due to the variations in the staining process and characteristics of imaging equipment. The dye amount estimation of stained specimens is helpful for quantitatively interpreting the color based on a physical model.

View Article and Find Full Text PDF

Chlorophyll and topographic patterns demonstrate stress conditions drive the brightness of autumn leaf colour.

Plant Biol (Stuttg)

December 2024

Echigo-Matsunoyama Museum of Natural Science 'Kyororo', Tokamachi, Niigata, Japan.

Autumn leaf colour brightness is an important cultural ecosystem service. As its spatial patterns and ecophysiological mechanisms remain unclear, we analysed relationships among autumn leaf colour brightness, late summer chlorophyll content, and topographic position in both canopy-based micro-scale analysis and site-based macro-scale analysis. Multispectral drone observations were made in three Fagus crenata forests at elevations of 300, 600, and 900 m in Niigata Prefecture, Japan.

View Article and Find Full Text PDF

Electronically Controlled Dual-Wavelength Switchable SRS Fiber Amplifier in the NIR-II Region for Multispectral Photoacoustic Microscopy.

Laser Photon Rev

October 2024

Harvard Medical School, Boston, MA 02114, USA; Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA 02114, USA; Department of Cardiology, Erasmus Medical Center, Rotterdam GD3015, The Netherlands; Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.

Photoacoustic microscopy (PAM) is a high-resolution and non-invasive imaging modality that provides optical absorption contrast. By employing dual- or multiple-wavelength excitation, PAM extends its capabilities to offer valuable spectroscopic information. To achieve efficient multispectral PAM imaging, an essential requirement is a light source characterized by a high repetition rate and switching rate, a ≈microjoule pulse energy, and a ≈nanosecond pulse duration.

View Article and Find Full Text PDF

From Images to Loci: Applying 3D Deep Learning to Enable Multivariate and Multitemporal Digital Phenotyping and Mapping the Genetics Underlying Nitrogen Use Efficiency in Wheat.

Plant Phenomics

December 2024

Plant Phenomics Research Centre, Academy for Advanced Interdisciplinary Studies, Collaborative Innovation Centre for Modern Crop Production, Co-sponsored by Province and Ministry, College of Agriculture, State Key Laboratory of Crop Genetics & Germplasm Enhancement and Utilization, Nanjing Agricultural University, Nanjing 210095, China.

The selection and promotion of high-yielding and nitrogen-efficient wheat varieties can reduce nitrogen fertilizer application while ensuring wheat yield and quality and contribute to the sustainable development of agriculture; thus, the mining and localization of nitrogen use efficiency (NUE) genes is particularly important, but the localization of NUE genes requires a large amount of phenotypic data support. In view of this, we propose the use of low-altitude aerial photography to acquire field images at a large scale, generate 3-dimensional (3D) point clouds and multispectral images of wheat plots, propose a wheat 3D plot segmentation dataset, quantify the plot canopy height via combination with PointNet++, and generate 4 nitrogen utilization-related vegetation indices via index calculations. Six height-related and 24 vegetation-index-related dynamic digital phenotypes were extracted from the digital phenotypes collected at different time points and fitted to generate dynamic curves.

View Article and Find Full Text PDF

Upscaling drought resilience by coupling soil data and UAV-multispectral imageries.

Sci Total Environ

January 2025

Department of Biotechnology, University of Verona, Strada Le Grazie 15, 37134 Verona, Italy.

Monitoring crop responses to drought is crucial for understanding the progressive impact of drought on food production and identifying management practices that can enhance agricultural resilience. This study combined drone-based multispectral data (MD) with laboratory determination over multiple pilot farms to identify the main soil physical and chemical parameters correlated with a crop health index (SVI- Standardized Vegetation Index), which compares the Normalized Difference Vegetation Index (NDVI) at the observed time to historical (NDVI at similar dates in previous years) values. Significant relationships were found between MD and selected soil properties for different crops.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!