Efficacy of minimally invasive vascular interventions assessed with mobile multispectral near-infrared spectroscopy
Notice bibliographique
Résumé
Background The adoption of minimally invasive techniques for treating chronic venous insufficiency has surged. Techniques such as foam sclerotherapy and radiofrequency ablation (RFA) are now widely used to address incompetent great saphenous veins. Duplex ultrasound examination has become the gold standard for diagnosing venous insufficiency and evaluating the effectiveness of these treatments. However, venous reflux ultrasound studies remain some of the most time-consuming tasks to obtain. Objective The objective of this study was to evaluate the effectiveness of minimally invasive vascular interventions, such as foam sclerotherapy and/or RFA, using mobile multispectral near-infrared spectroscopic (NIRS) imaging. By measuring changes in tissue oxygenation (StO 2 ) before and after treatment, this study aims to provide insights into the utility of NIRS imaging as a noninvasive tool for assessing treatment outcomes. Methods This quasi-experimental pre-post-test design study included 14 patients treated for chronic venous insufficiency with either foam sclerotherapy or RFA between November 2022 and February 2024. The patient population presented with significant great saphenous vein insufficiency and normal deep venous pathology, with no evidence of deep vein thrombosis or superficial vein thrombosis, except for one case with partial chronic and deep venous thrombosis. NIRS images of the lower extremities were collected before and immediately after the treatment. The images were acquired from various anatomical locations including the dorsum and plantar aspects of the foot, the medial and lateral leg, and the wound area if present. Results The results demonstrated a statistically significant increase in mean StO 2 in lower extremities after foam sclerotherapy and RFA, indicating an improved microcirculatory function in the treated limb. These improvements in StO 2 in the lower extremities were consistent with the vascular examination results, which confirmed successful vein ablation or closure. Conclusions The study demonstrates that NIRS imaging effectively tracks treatment-related changes, providing a noninvasive and reliable method for the real-time assessment of StO 2 . By visualizing changes in microcirculation, this technology offers clinicians valuable insights, enabling earlier detection of treatment success or failure and facilitating timely interventions. As such, NIRS imaging holds promise as a valuable tool in clinical practice for evaluating the efficacy of minimally invasive vascular treatments. However, the small sample size limits the ability to draw definitive conclusions.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».