scholarly journals Potential Application of Raman Spectroscopy for Real-time Diagnosis and Classification of Colorectal Cancer

2018 ◽  
Vol 30 (3) ◽  
pp. 381-389 ◽  
Author(s):  
Ryuichi SEKINE ◽  
Sumito SATO ◽  
Jun-ichi TANAKA ◽  
Hirotada KAGOSHIMA ◽  
Takeshi AOKI ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Raman Spectroscopy ◽  
Real Time ◽  
Potential Application ◽  
Diagnosis And Classification ◽  
Time Diagnosis

Label‐free serum detection based on Raman spectroscopy for the diagnosis and classification of glioma

2020 ◽  
Vol 51 (10) ◽  
pp. 1977-1985
Author(s):  
Chenxi Zhang ◽  
Ying Han ◽  
Bo Sun ◽  
Wenli Zhang ◽  
Shujun Liu ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Label Free ◽  
Diagnosis And Classification ◽  
Free Serum ◽  
Serum Detection

Tu1464 Virtual Chromoendoscopy With I-SCAN for Real Time Diagnosis of Colorectal Cancer In Vivo

2013 ◽  
Vol 77 (5) ◽  
pp. AB550
Author(s):  
Helmut Neumann ◽  
Michael Vieth ◽  
Martin Grauer ◽  
Dane Wildner ◽  
Jürgen Siebler ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Real Time ◽  
Virtual Chromoendoscopy ◽  
Time Diagnosis

scholarly journals Classification of Soft Tissue Sarcoma Specimens with Raman Spectroscopy as Smart Sensing Technology

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Liming Li ◽  
Vamiq M. Mustahsan ◽  
Guangyu He ◽  
Felix B. Tavernier ◽  
Gurtej Singh ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Soft Tissue ◽  
Soft Tissue Sarcoma ◽  
Real Time ◽  
Frozen Section ◽  
Margin Status ◽  
Resection Margins ◽  
Analytical Methodology ◽  
Sensing Technology

Intraoperative confirmation of negative resection margins is an essential component of soft tissue sarcoma surgery. Frozen section examination of samples from the resection bed after excision of sarcomas is the gold standard for intraoperative assessment of margin status. However, it takes time to complete histologic examination of these samples, and the technique does not provide real-time diagnosis in the operating room (OR), which delays completion of the operation. This paper presents a study and development of sensing technology using Raman spectroscopy that could be used for detection and classification of the tumor after resection with negative sarcoma margins in real time. We acquired Raman spectra from samples of sarcoma and surrounding benign muscle, fat, and dermis during surgery and developed (i) a quantitative method (QM) and (ii) a machine learning method (MLM) to assess the spectral patterns and determine if they could accurately identify these tissue types when compared to findings in adjacent H&E-stained frozen sections. High classification accuracy (>85%) was achieved with both methods, indicating that these four types of tissue can be identified using the analytical methodology. A hand-held Raman probe could be employed to further develop the methodology to obtain spectra in the OR to provide real-time in vivo capability for the assessment of sarcoma resection margin status.

Tissue microarray based classification of early and late stage colorectal cancer in optical and virtual microscopy

2007 ◽  
Vol 45 (05) ◽  
Author(s):  
F Sipos ◽  
S Spisák ◽  
T Krenács ◽  
O Galamb ◽  
B Galamb ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Tissue Microarray ◽  
Late Stage ◽  
Virtual Microscopy

Epigenetic Modifiers and Their Potential Application in Colorectal Cancer Diagnosis and Therapy

2020 ◽  
Vol 25 (2) ◽  
pp. 95-109
Author(s):  
Sapnita Shinde ◽  
Saurabh Saxena ◽  
Vineeta Dixit ◽  
Atul K. Tiwari ◽  
Naveen K. Vishvakarma ◽  
...  
Keyword(s):  
Colorectal Cancer ◽  
Cancer Diagnosis ◽  
Potential Application ◽  
Diagnosis And Therapy ◽  
Epigenetic Modifiers ◽  
Cancer Diagnosis And Therapy
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