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Importance: The metastatic status of sentinel lymph nodes (SLNs) is the most relevant prognostic factor in breast cancer, melanoma, and other tumors. The conventional standard to label SLNs is lymphoscintigraphy with technetium Tc 99m. A worldwide shortage and known disadvantages of Tc 99m have intensified efforts to establish alternative, nonradioactive imaging techniques.
Objective: To assess a new nonradioactive method using multispectral optoacoustic tomographic (MSOT) imaging in comparison with conventional lymphoscintigraphic imaging for SLN biopsy (SLNB) in melanoma.
Design, Setting, And Participants: Analysis of a cross-sectional study was conducted at the University Hospital-Essen, Skin Cancer Center, Essen, Germany. Between June 2, 2014, and February 22, 2019, 83 patients underwent SLNB with an additional preoperative indocyanine green (ICG) application. Sentinel lymph node basins were preoperatively identified by MSOT imaging, and ICG-labeled SLNs were intraoperatively detected using a near-infrared camera. The surgeons were blinded to the lymphoscintigraphic imaging results in the beginning of the SLNB. Use of a γ probe was restricted until the SLNB procedure was attempted by the nonradioactive method.
Main Outcomes And Measures: Concordance of SLN basins and SLNs identified by MSOT imaging plus near-infrared camera vs lymphoscintigraphic imaging plus single-photon emission computed tomographic or computed tomographic imaging was assessed.
Results: Of the 83 patients (mean [SD] age, 54.61 [17.53] years), 47 (56.6%) were men. In 83 surgical procedures, 165 SLNs were excised. The concordance rate of ICG-labeled and Tc 99m-marked detected SLN basins was 94.6% (n = 106 of 112). Intraoperatively, 159 SLNs were detected using a near-infrared camera and 165 were detected by a γ probe, resulting in a concordance rate of 96.4%. Multispectral optoacoustic tomographic imaging visualized SLNs in all anatomic regions with high penetration depth (5 cm).
Conclusions And Relevance: The findings of this study suggest that nonradioactive SLN detection via MSOT imaging allows identification of SLNs at a frequency equivalent to that of the current radiotracer conventional standard. Multispectral optoacoustic tomographic imaging appears to be a viable nonradioactive alternative to detect SLNs in malignant tumors.
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http://dx.doi.org/10.1001/jamanetworkopen.2019.9020 | DOI Listing |
Biomed Opt Express
August 2025
DTU Electro, Technical Universisty of Denmark, DK-2800 Kgs. Lyngby, Denmark.
Multi-spectral optoacoustic microscopy (MS-OAM) requires high-performance light sources capable of delivering multiple intense spectral lines precisely matched to the absorption characteristics of selected biomolecules. We present a gas-filled anti-resonant hollow-core fiber (ARHCF) laser source optimized for near-infrared (NIR) MS-OAM. The hydrogen (H)-filled ARHCF laser emits multiple spectral lines with high pulse energy and narrow linewidths (<0.
View Article and Find Full Text PDFEur J Nucl Med Mol Imaging
August 2025
Clinic for Radiology, University of Muenster and University Hospital Muenster, Muenster, Germany.
Purpose: A hypoxic tumor microenvironment promotes cancer progression, with endothelin-A receptor (ETR) signaling playing a key role in tumor neoangiogenesis and macrophage infiltration. We hypothesize that multispectral optoacoustic tomography (MSOT) using an ETR-specific probe could provide improved insights into the hypoxic characteristics of the tumor microenvironment (TME), either alone or in combination with endogenous markers, and that alterations in ETR expression may correlate with increased tumor oxygenation serving as an early indicator of response to anti-angiogenic or immune-modulating therapy.
Methods: A fluorescent ETR probe was applied for in vivo MSOT evaluation of ETR expression in hypoxic murine breast cancer.
Adv Sci (Weinh)
August 2025
Faculty of Рhysics, M.V. Lomonosov Moscow State University, Moscow, 119991, Russia.
Infrared spectroscopy can quantify individual body components such as lipids, water, and proteins, but extending it to a comprehensive assessment of overall body composition is hampered by high variability and optical heterogeneity of biological tissues. Here, a theoretical and experimental strategy merging multi-spectral optoacoustic tomography (MSOT) and diffuse reflectance spectroscopy (DRS) is introduced to characterize skin and subcutaneous tissue composition in the near-infrared range. Water, lipids, and collagen exhibit distinct absorption peaks, with lipids demonstrating significantly higher absorption than collagen at comparable mass concentrations.
View Article and Find Full Text PDFPhotoacoustics
October 2025
Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center Munich at the University of Leipzig and University Hospital Leipzig, Leipzig 04103, Germany.
Objectives: This proof-of-concept study aimed to assess the feasibility of Multispectral Optoacoustic Tomography (MSOT) in evaluating changes in oxygenated hemoglobin (HbO2) levels in muscles of the lower limb before and after lower extremity revascularization (LER).
Methods: In 26 patients, HbO2 levels were assessed before and after LER, with follow-up assessing symptom control and patency for up to six months.
Results: A significant difference in HbO2 levels was observed between pre- and post-LER in the muscles of the lower limb.
Comput Biol Med
September 2025
Dipartimento di Neuroscienze, Metabolic Intelligence Lab, Università Cattolica del Sacro Cuore, Largo Francesco Vito, 1, 00168, Rome, Italy; UOC Fisica per le Scienze della Vita, Fondazione Policlinico Universitario "A. Gemelli" IRCCS, 00168, Rome, Italy. Electronic address: giuseppe.maulucci@unica
Background: Multispectral optoacoustic tomography (MSOT) merges optical and ultrasound imaging to generate high-resolution, molecularly specific images. By capturing ultrasound emissions at multiple wavelengths, MSOT enables real-time visualization of tissue slices or volumes. The technique's specificity relies on chromophores emitting distinct signals across different wavelengths, requiring accurate spectral unmixing.
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