Trial reportLasers in surgery and medicine2016
Intraoperative Raman spectroscopy of soft tissue sarcomas.
Trial report in Lasers in surgery and medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
13 citing papers in PubMed, 29 citations in OpenAlex.
- A Comprehensive Review of Margin Identification Methods in Soft Tissue Sarcoma.Current oncology (Toronto, Ont.) · 2025Review
- Intraoperative use of high-speed Raman spectroscopy during soft tissue sarcoma resection.Scientific reports · 2025Article
- Article
- 3D Specimen Scanning and Mapping in Musculoskeletal Oncology: A Feasibility Study.Annals of surgical oncology · 2024Article
- Toward the use of diffuse reflection spectroscopy for intra-operative tissue discrimination during sarcoma surgery.Journal of biomedical optics · 2024Article
- Advancing Brain Research through Surface-Enhanced Raman Spectroscopy (SERS): Current Applications and Future Prospects.Biosensors · 2024Review
- Intraoperative imaging in pathology-assisted surgery.Nature biomedical engineering · 2022Review
- Perspective of Future SERS Clinical Application Based on Current Status of Raman Spectroscopy Clinical Trials.Frontiers in chemistry · 2021Review
- Classification of Soft Tissue Sarcoma Specimens with Raman Spectroscopy as Smart Sensing Technology.Cyborg and bionic systems (Washington, D.C.) · 2021Article
- Repurposing Molecular Imaging and Sensing for Cancer Image-Guided Surgery.Journal of nuclear medicine : official publication, Society of Nuclear Medicine · 2020Review
- CORR® Tumor Board: Can Navigation Improve the Ability to Achieve Tumor-free Margins in Pelvic and Sacral Primary Bone Sarcoma Resections? A Historically Controlled Study.Clinical orthopaedics and related research · 2019Article
- Development of a modular fluorescence overlay tissue imaging system for wide-field intraoperative surgical guidance.Journal of medical imaging (Bellingham, Wash.) · 2018Article
- Proof-of-concept Raman spectroscopy study aimed to differentiate thyroid follicular patterned lesions.Scientific reports · 2017Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
Abstract
BACKGROUND AND
objectiveSoft tissue sarcomas (STS) are a rare and heterogeneous group of malignant tumors that are often treated through surgical resection. Current intraoperative margin assessment methods are limited and highlight the need for an improved approach with respect to time and specificity. Here we investigate the potential of near-infrared Raman spectroscopy for the intraoperative differentiation of STS from surrounding normal tissue. MATERIALS AND
methodsIn vivo Raman measurements at 785 nm excitation were intraoperatively acquired from subjects undergoing STS resection using a probe based spectroscopy system. A multivariate classification algorithm was developed in order to automatically identify spectral features that can be used to differentiate STS from the surrounding normal muscle and fat. The classification algorithm was subsequently tested using leave-one-subject-out cross-validation.
resultsWith the exclusion of well-differentiated liposarcomas, the algorithm was able to classify STS from the surrounding normal muscle and fat with a sensitivity and specificity of 89.5% and 96.4%, respectively.
conclusionThese results suggest that single point near-infrared Raman spectroscopy could be utilized as a rapid and non-destructive surgical guidance tool for identifying abnormal tissue margins in need of further excision. Lasers Surg. Med. 48:774-781, 2016. © 2016 Wiley Periodicals, Inc.
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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 OpenQuestion graph.