Program Information

Raman Spectroscopy for Radiation Treatment Response Assessment in a Lung Metastases Mouse Model

S Devpura

S Devpura¹*, K Barton¹ , S Brown¹ , S Sethi² , M Klein³ , F Siddiqui¹ , I Chetty¹ , (1) Henry Ford Health System, Detroit, MI, (2) Karmanos Cancer Center, Detroit, MI, (3) Children's Hospital of Michigan, Detroit, MI

Presentations

TH-E-BRF-7 Thursday 1:00PM - 2:50PM Room: Ballroom F

Purpose:Raman spectroscopy is an optical spectroscopic method used to probe chemical information about a target tissue. Our goal was to investigate whether Raman spectroscopy is able to distinguish lung tumors from normal lung tissue and whether this technique can identify the molecular changes induced by radiation.

Methods:4T1 mouse breast cancer cells were implanted subcutaneously into the flanks of 6 Balb/C female mice. Four additional mice were used as “normal lung” controls. After 14 days, 3 mice bearing tumors received 6Gy to the left lung with 6MV photons and the other three were treated as “unirradiated tumor” controls. At a 24-hour time point, lungs were excised and the specimens were sectioned using a cryostat; alternating sections were either stained with hematoxylin and eosin (H&E) for evaluation by a pathologist or unstained for Raman measurements. 240 total Raman spectra were collected; 84 from normal lung controls; 63 from unirradiated tumors and 64 from tumors irradiated with 6Gy in a single fraction. Raman spectra were also collected from normal lung tissues of mice with unirradiated tumors. Principal component analysis (PCA) and discriminant function analysis (DFA) were performed to analyze the data.

Results:Raman bands assignable to DNA/RNA showed prominent contributions in tumor tissues while Raman bands associated with hemoglobin showed strong contributions in normal lung tissue. PCA/DFA analysis identified normal lung tissue and tumor with 100% and 98.4% accuracy, respectively, relative to pathologic scoring. Additionally, normal lung tissues from unirradiated mice bearing tumors were classified as normal with 100% accuracy. In a model consisting of unirradiated and irradiated tumors identification accuracy was 79.4% and 93.8% respectively, relative to pathologic assessment.

Conclusion:Initial results demonstrate the promise for Raman spectroscopy in the diagnosis normal vs. lung metastases as well as the assessment of radiation therapy response. Further investigations are needed to validate these results.

Funding Support, Disclosures, and Conflict of Interest: This study was supported in part by a research grant from Varian Medical Systems, Palo Alto, CA


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