Background and objectives: The importance of induction chemotherapy (ICT) followed by concurrent chemoradiotherapy (CCRT) has been re-established in recent years aiming at fewer metastatic sites and better control of the disease. We prospectively studied the possibility of early prediction of overall survival (OS) and progression-free survival (PFS) after 3 cycles of chemotherapy with doxetacel, cisplatin and 5-fluorouracil using 18-fluoro-2-deoxy-glucose positron emission tomography computed tomography (¹⁸F-FDG PET/CT) in patients with head and neck squamous cell cancer. To our knowledge, this is the first such study. Materials and Methods: Thirty-five patients were studied. They underwent an ¹⁸F-FDG PET/CT examination twice: a day before ICT and 10–14 days after the last cycle of ICT. Tumor-standardized uptake value (SUVmax) and hypermetabolic tumor volume were measured on both scans. The mean age of patients was 56.5 years. Complete responses to CCRT PFS and OS were calculated. Results: Our results showed that a decrease of ≥30% in the SUVmax value after ICT was a prognostic factor of tumor response to PFS and OS (p = 0.026 and p = 0.021). The groups of patients with a SUVmax between 10 and 14.5 in the primary tumor on a pre-ICT ¹⁸F-FDG PET/CT scan had statistically shorter PFS and OS (p = 0.001, p = 0.006) when compared with other groups of patients with SUVmax less than 10 or SUVmax more than 14.5. A decrease of less than 55% of hypermetabolic tumor volume of the primary tumor was significantly related to poor prognosis in PFS and OS (p = 0.033, p = 0.017). Conclusions: SUVmax and hypermetabolic tumor volume measured on ¹⁸F-FDG PET/CT after ICT might be valuable prognostic tools for predicting OS and PFS and, thus, for the selection of patients with head and neck cancer who will benefit from CCRT.

Background and Objectives: To our knowledge, this is the first study that investigated the prognostic value of radiomics features extracted from not only staging 18F-fluorodeoxyglucose positron emission tomography (FDG PET/CT) images, but also post-induction chemotherapy (ICT) PET/CT images. This study aimed to construct a training model based on radiomics features obtained from PET/CT in a cohort of patients with locally advanced head and neck squamous cell carcinoma treated with ICT, to predict locoregional recurrence, development of distant metastases, and the overall survival, and to extract the most significant radiomics features, which were included in the final model. Materials and Methods: This retrospective study analyzed data of 55 patients. All patients underwent PET/CT at the initial staging and after ICT. Along the classical set of 13 parameters, the original 52 parameters were extracted from each PET/CT study and an additional 52 parameters were generated as a difference between radiomics parameters before and after the ICT. Five machine learning algorithms were tested. Results: The Random Forest algorithm demonstrated the best performance (R² 0.963–0.998) in the majority of datasets. The strongest correlation in the classical dataset was between the time to disease progression and time to death (r = 0.89). Another strong correlation (r ≥ 0.8) was between higher-order texture indices GLRLM_GLNU, GLRLM_SZLGE, and GLRLM_ZLNU and standard PET parameters MTV, TLG, and SUVmax. Patients with a higher numerical expression of GLCM_ContrastVariance, extracted from the delta dataset, had a longer survival and longer time until progression (p = 0.001). Good correlations were observed between Discretized_SUVstd or Discretized_SUVSkewness and time until progression (p = 0.007). Conclusions: Radiomics features extracted from the delta dataset produced the most robust data. Most of the parameters had a positive impact on the prediction of the overall survival and the time until progression. The strongest single parameter was GLCM_ContrastVariance. Discretized_SUVstd or Discretized_SUVSkewness demonstrated a strong correlation with the time until progression.

Background and objectives: Induction chemotherapy (ICT) before definitive chemoradiation (CRT) gives high response rates in locally advanced squamous cell carcinoma of the head and neck (LA-SCCHN). However, pre-ICT gross tumor volume (GTV) for radiotherapy (RT) planning is still recommended. As ¹⁸F-FDG PET/CT has an advantage of biological tumor information comparing to standard imaging methods, we aimed to evaluate the feasibility of ¹⁸F-FDG PET/CT-based post-ICT GTV delineation for RT planning in LA-SCCHN and to assess the prognostic value of PET parameters: maximum standardized uptake value (SUV_max), metabolic tumor volume (MTV) and total lesion glycolysis (TLG). Methods: 47 LA-SCCHN patients were treated with 3 cycles of ICT (docetaxel, cisplatin, and 5-fluorouracil) followed by CRT (70 Gy in 35 fractions with weekly cisplatin). Pre- and post-ICT PET/CT examinations were acquired. Planning CT was co-registered with post-ICT PET/CT and RT target volumes were contoured according to post-ICT PET. Post-ICT percentage decrease of SUV_max, MTV and TLG in primary tumor and metastatic regional lymphnodes (LN) was counted. Loco-regional failure patterns, 3-year progression free (PFS) and overall survival (OS) were evaluated. Results: 3-year PFS and OS rates for study population were 67% and 61% respectively. 31.9% of patients progressed loco-regionally. All progress was localized in high-to-intermediate dose (60–70 Gy) RT volumes and none in low dose (50 Gy) volumes. Decrease of SUV_max ≥ 74% (p = 0.04), MTV ≥ 68% (p = 0.03), TLG ≥ 76% (p = 0.03) in primary tumor, and LN TLG decrease ≥ 74% (p = 0.03) were associated with PFS. Decrease of primary tumor SUV_max ≥ 74% (p = 0.04), MTV ≥ 69% (p = 0.03), TLG ≥ 74% (p = 0.02) and LN TLG ≥ 73% (p = 0.02) were prognostic factors for OS. Conclusions: According to our results, ¹⁸F-FDG PET/CT-based post-ICT GTV delineation is feasible strategy without negative impacts on loco-regional control and survival. Percentage decrease of metabolic PET parameters SUV_max, MTV and TLG has a prognostic value in LA-SCCHN.

Multiple myeloma (MM) cells interact with bone marrow stromal cells stimulating transcription and secretion of cytokines like IL-6 and IL-10, which are implicated in the progression and dissemination of MM. Regulation of cytokines secretion is under genetic control through genetic polymorphisms in their coding and promoter sequences. It seems that single nucleotide polymorphism (SNP) in the promoter region of various genes may regulate the plasma concentrations of cytokines. Cytokines could be also hypothesized to function as pain modulators as peripheral nociceptors are sensitized by cytokines. The aim was to determine if the SNP of IL-6 and IL-10 cytokines could influence the analgesic response of radiotherapy in the treatment of painful bone destructions in MM patients. 30 patients (19 women and 11 men, median age: 67 years) with MM and painful bone destructions were treated with palliative radiotherapy. Pain was evaluated according to the visual analogue scale and analgesics intake. Pain scores and analgesics use were measured prior to radiotherapy as well as 4, 12 and 24 weeks afterward. Opioid analgesics were converted to the morphine-equivalent daily dose (MEDD). Genomic DNA was extracted from peripheral blood leukocytes and IL-6 and IL-10 gene promoter polymorphisms were analysed with polymerase chain reaction. 60% of patients reported severe pain prior to radiotherapy, which decreased to 13% at the first follow-up visit (p

8030 Background: Previous researches have demonstrated, that the severity of pain perception and it’s response to analgesia is highly dependent on gene polymorphism encoding for cytokines. We evaluated 12 single nucleotide polymorphisms (SNP) in 6 genes encoding for cytokines in multiple myeloma patients (n = 81) and assessed their influence on pain severity and response to palliative radiotherapy. Methods: Pain intensity was assessed by Visual Analogue Scale. The total dose of opioids was converted to a mean morphine-equivalent dose (mg/day). Pain intensity and dose of analgesics were evaluated before radiotherapy and 4, 12 and 24 weeks after the treatment. Analysis of SNP of genes IL6, IL10, TNFA, IL1A, IL1B, IL1RN was carried out. Multivariable regression was used to assess correlations between severe pain and SNP, adjusting demographic and clinical variables. Results: Severe pain was more prevalent among patients with a Karnofsky index ≥ 60% (OR 5.84; 95% CI 1.49 – 22.87) and patients with GG genotype of IL1RN c.1812G > A polymorphism (OR 2.79; 95% CI 1.05 – 7.46). The analysis revealed that patients with IL1A c.889C > T CC genotype had a better response to radiotherapy after 12 and 24 weeks, compared to patients with TT and CT genotypes (p = 0.013 and p = 0.006 respectively). Patients with IL1B c. 3953C > T CC genotype also demonstrated a better response to radiotherapy after 12 and 24 weeks, compared to patients with TT and CT genotypes (p = 0.002 and p = 0.002 respectively). Patients with IL1RN c.11100T > C CC genotype had a faster response (after 4 weeks) to radiotherapy, compared to patients with TT and CT genotypes (p = 0.023). Conclusions: This study provides preliminary evidence, that genes encoding for particular cytokines play a significant role on pain severity and response to radiotherapy in multiple myeloma patients. Clinical trial information: NCT02024815.