ESTRO 2025 - Abstract Book

S1073

Clinical – Head & neck

ESTRO 2025

Material/Methods: This is a prospective study, 73 NPC patients undergoing radical chemoradiotherapy were divided into two groups: complete response (CR) and partial response (PR) according to the efficacy evaluation criteria version 1.1 (RECIST 1.1). Meanwhile, we conducted grading of the acute adverse reactions referring to the RTOG Acute Radiation Toxicity Grading Criteria.Venous blood was drawn before treatment, during radiotherapy (15-20 fractions) and after radiotherapy. We performed preprocessing on these original spectral data with the help of MATLAB R2023b software,and analysed data by R language, Logistic regression,Elastic network model, Principal Component Analysis(PCA) and receiver operating characteristic curve (ROC). Furthermore, we performed univariate and multivariate analysis of the predictors to assess their accuracy. Results: 73 subjects were included in the study, with the CR group 54 cases (74%) and the PR group 19 cases (26%). We extracted eight Raman spectral principal components (RC1-8) that were significantly associated with efficacy, namely RC1 and RC2 before treatment, RC3 and RC4 in RT, and RC5, RC6, RC7 and RC8 after radiotherapy.The results of the univariate analysis model suggested that RC1 and RC2, RC3, RC5, RC6, and RC7 showed significant differences between the different treatment responses group(P <0.05). The results of the multivariate model showed that RC1, RC2 (P 0.001) and RC5-8 differ significantly between efficacy groups (P <0.05). According to the comparative analysis of the average serum spectra before and after treatment, we found that the decrease of glutathione, glycogen and DNA content and the increase of lipid content showed the main manifestations after treatment. We used the OPLS-DA classification algorithm to classify the radioactive oral mucositis into mild reaction group (grade 0-2) and severe reaction group (grade 3-4), and found that the classification accuracy of the serum sample classification model was 78.5%. At the same time, radioactive salivary gland injuries were grouped by grades 1 and 2, and their classification accuracy reached 100%. Conclusion: Raman spectroscopy technology demonstrated potential in predicting therapeutic efficacy and evaluating acute adverse reactions in patients with NPC. References: [1]Liu C, Zhang J, Zheng Q, et al. Surface-Enhanced Raman Scattering Enantioselective Detection of Gastric Cancer Related d-Amino Acids in Saliva Based on Enzyme-Mediated Cascade Reaction[J]. Anal Chem, 2023,95(35):13029 13035. [2]Wu Q, Ding Q, et al. Profiling of Tumor Cell-Delivered Exosome by Surface Enhanced Raman Spectroscopy-Based Biosensor for Evaluation of Nasopharyngeal Cancer Radioresistance[J]. Adv Healthc Mater, 2023,12(8):e2202482. [3]Koster H J, Guillen-Perez A, et al. Fused Raman spectroscopic analysis of blood and saliva delivers high accuracy for head and neck cancer diagnostics[J]. Sci Rep, 2022,12(1):18464. [4]Johnson D E, Burtness B, et al. Head and neck squamous cell carcinoma[J]. Nat Rev Dis Primers, 2020,6(1):92. Keywords: nasopharyngeal carcinoma,Raman spectroscopy

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Poster Discussion Submandibular and parotid gland sparing versus parotid gland sparing alone in head and neck cancers : assessor-blinded randomised controlled trial" Shyama Prem S 1 , Muthuveerappan S 2 , Saravanan Kandasamy 3 , Prasoon Garg 4 , Ramkumar G 5 , Sivaraman G 6 , Dhanapathi Halanaik 7 1 Radiation Oncology, JIPMER, Puducherry, India. 2 Medical Oncology, JIPMER, Puducherry, India. 3 Medical Physics, JIPMER, Puducherry, India. 4 Radiation Oncology, TMH, Mumbai, India. 5 Radiodiagnosis, JIPMER, Puducherry, India. 6 ENT, JIPMER, Puducherry, India. 7 Nuclear Medicine, JIPMER, Puducherry, India