Intraoperative Raman spectroscopy of soft tissue sarcomas.
Background and Objective: Soft 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 specifi...
| Publicado en: | Lasers in Surgery & Medicine Vol. 48; no. 8; pp. 774 - 782 |
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| Autores principales: | , , , , , , , , |
| Formato: | research Journal Article |
| Publicado: |
Wiley-Blackwell
Oct2016
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=118888071&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 118888071 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 01968092 OCY jtl: Lasers in Surgery & Medicine issn: 01968092 maglogo: Y pubinfo: dt: Oct2016 vid: 48 iid: 8 pid: 480 pub: Wiley-Blackwell place: Malden, Massachusetts artinfo: ui: 118888071 118888071 NLM27454580 118888071 10.1002/lsm.22564 NLM27454580 118888071 ppf: 774 ppct: 8 formats: tig: atl: Intraoperative Raman spectroscopy of soft tissue sarcomas. aug: au: Nguyen, John Q. Gowani, Zain S. O'Connor, Maggie Pence, Isaac J. Nguyen, The‐Quyen Holt, Ginger E. Schwartz, Herbert S. Halpern, Jennifer L. Mahadevan‐Jansen, Anita affil: Biophotonics Center, Vanderbilt University, 410 24th Ave. South (Keck FEL Center), Nashville Tennessee 37232 sug: subj: Intraoperative Care Methods Spectrum Analysis, Raman Sarcoma Diagnosis Soft Tissue Neoplasms Diagnosis Adult Human Sensitivity and Specificity Algorithms Logistic Regression Sarcoma Surgery Multivariate Analysis Soft Tissue Neoplasms Surgery Validation Studies Comparative Studies Evaluation Research Multicenter Studies Funding Source Adult: 19-44 years ab: Background and Objective: Soft 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 Methods: In 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.Results: With 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.Conclusion: These 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. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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