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Published on: February 27, 2015
Intraoperative Mass Spectrometry in Oncology: Technologies, Clinical Applications, and Challenges
Robert Onulov1, Marius Georgescu2,3, Corina Flangea4,5
1Doctoral School, Victor Babeş University of Medicine and Pharmacy, Eftimie Murgu Sq. No. 2, 300041 Timisoara, Romania.
Intraoperative mass spectrometry (MS) offers rapid, label-free molecular profiling for real-time tumor characterization during surgery. This technology shows promise in improving cancer surgery outcomes by enhancing margin assessment and surgical guidance.
Area of Science:
- Oncology
- Analytical Chemistry
- Surgical Innovation
Background:
- Surgical precision is paramount in oncology for complete tumor removal and improved patient outcomes.
- Traditional intraoperative diagnostics like frozen-section analysis have limitations in speed, sampling, and interpretation.
- Intraoperative mass spectrometry (MS) provides rapid, label-free molecular profiling for real-time surgical specimen analysis.
Purpose of the Study:
- To review current intraoperative mass spectrometry technologies for cancer surgery.
- To summarize clinical applications, benefits, and limitations of intraoperative MS in oncology.
- To discuss future perspectives and potential enhancements for intraoperative MS in surgical oncology.
Main Methods:
- Review of emerging intraoperative mass spectrometry technologies (REIMS, DESI-MS, MALDI-MS, PIRL-MS, MasSpec Pen).
- Analysis of published applications across various cancer types (brain, breast, gastrointestinal, urogenital).
- Evaluation of technical and translational challenges and potential integration with AI and multi-omics.
Main Results:
- Intraoperative MS technologies enable real-time tumor characterization and surgical guidance.
- Demonstrated applications in improving margin assessment and tumor classification for multiple cancer types.
- Identified challenges include cost, standardization, and need for validation, with AI integration showing promise.
Conclusions:
- Intraoperative MS is a transformative technology with significant potential to enhance surgical oncology.
- Further development, standardization, and validation are necessary for widespread clinical adoption.
- Integration with AI and multi-omics may unlock broader clinical utility and reshape surgical practices.
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