ArticleCommunications medicine2025
Derivation and validation of a non-invasive optoacoustic imaging biomarker for detection of patients with intermittent claudication.
Article in Communications medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05373927 (Cross-sectional Study of Calf Muscle Perfusion in Patients With Intermittent Claudication by Non-invasive Multispectral Optoacustic Tomography), which is not on this map. Cited by 7 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Cross-sectional Study of Calf Muscle Perfusion in Patients With Intermittent Claudication by Non-invasive Multispectral Optoacustic Tomography
Who cites it
7 citing papers in PubMed.
- Photoacoustic device fingerprints induce bias in deep learning models.Scientific reports · 2026Article
- Investigating Age-Dependent Oxygenation and Blood Perfusion in a Mouse Model of Peripheral Artery Disease (PAD) Using Multispectral Optoacoustic Tomography (MSOT), Laser Speckle Contrast Imaging (LSCI) and Histology.Diagnostics (Basel, Switzerland) · 2026Article
- Optoacoustic muscle imaging.Journal of neuromuscular diseases · 2026Review
- Photoacoustic imaging of acupoint specificity and meridian transmission at Shousanli (LI10): a blood oxygen metabolism study.Frontiers in physiology · 2026Article
- Optoacoustic imaging in lower extremity revascularization: A novel technique to assess perioperative muscle perfusion.Photoacoustics · 2025Article
- Shortcut learning leads to sex bias in deep learning models for photoacoustic tomography.International journal of computer assisted radiology and surgery · 2025Article
- Emerging Photoacoustic Imaging Techniques for Peripheral Arterial Disease.Current treatment options in cardiovascular medicine · 2025Review
Corrections and comments
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Authors and funding
20 authors.
Funding
Abstract
backgroundPeripheral arterial disease (PAD) affects more than 200 million people worldwide, with symptoms ranging from none to severe. Despite these different diagnostic options, patients with unclear leg pain remain challenging to diagnose. The primary objective of this study was to evaluate whether multispectral optoacoustic tomography (MSOT) can discriminate between healthy volunteers (HV) and patients with intermittent claudication (IC) by assessing hemoglobin-related biomarkers in calf muscle tissue.
methodIn this monocentric, cross-sectional, observational diagnostic trial (NCT05373927) n = 102 patients were included in two independent derivation (DC, n = 51) and validation cohorts (VC, n = 51). MSOT was performed before and after standardized heel raise provocation and was compared to standardized PAD diagnostics including pulse palpation, ankle brachial index (ABI), duplex sonography, 6-minute walk test (6MWT), assessment of health-related quality of life (VASCUQOL-6), and angiography (aggregated TransAtlantic Inter-Society Consensus classification, aTASC).
resultsHere we show that MSOT is capable of differentiating IC and HV with an area under the receiver operator characteristics curve (AUROC) in DC by 0.99 (sensitivity: 100%, specificity: 95.8%) and in the VC by 0.95 (sensitivity: 96.2%, specificity: 96.0%). MSOT-derived oxygenation positively correlates with the ABI post-exercise (R = 0.83, P = 2.31 × 10
conclusionsPost-exercise MSOT-derived saturation in the calf muscle is validated as a non-invasive imaging biomarker to distinguish HV and IC patients yielding high sensitivity and specificity.
Identifiers
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.