Hyperspectral imaging as an objective diagnostic tool for secondary lymphedema in breast cancer patients

Hyperspectral imaging provides reproducible, objective, and noninvasive assessment of secondary lymphedema. These findings support its potential as a diagnostic and monitoring tool to improve staging and treatment evaluation.

Authors

Institutions

Publication Details

Journal
Communications Medicine
Published
2025-12-18
DOI
https://doi.org/10.1038/s43856-025-01301-y
Primary Topic
Lymphatic System and Diseases
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Hyperspectral imaging as an objective diagnostic tool for secondary lymphedema in breast cancer patients

Ovidiu F. Jurjuţ, Lukas Schimunek, Wiebke Eisler, Martin Weiß et al.
Communications Medicine
Lymphatic System and Diseases
article

Hyperspectral imaging as an objective diagnostic tool for secondary lymphedema in breast cancer patients

Ovidiu F. Jurjuţ, Lukas Schimunek, Wiebke Eisler, Martin Weiß, Alexander R. Ehrhardt, Adrien Daigeler, Anna Seller, Markus Hahn, Mario Marx, Anaclara Herholz
article en

Abstract

Hyperspectral imaging provides reproducible, objective, and noninvasive assessment of secondary lymphedema. These findings support its potential as a diagnostic and monitoring tool to improve staging and treatment evaluation.

Communications MedicineVol. 6(1)
BG Klinik Tübingen (DE), Natural and Medical Sciences Institute (DE), Förderverein Institut für Medizintechnik Dresden (DE), University of Tübingen (DE)
Openalex Percentile: Top 43%
Lymphatic System and Diseases
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.