ABSTRACT
Tumors can produce bioactive substances called tumor-derived supernatants (TDS) that modify the immune response in the host body. This can result in immunosuppressive effects that promote the growth and spread of cancer. During tumorigenesis, the exudation of these substances can disrupt the function of immune sentinels in the host and reinforce the support for cancer cell growth. Tumor cells produce cytokines, growth factors, and proteins, which contribute to the progression of the tumor and the formation of premetastatic niches. By understanding how cancer cells influence the host immune system through the secretion of these factors, we can gain new insights into cancer diagnosis and therapy.
ABSTRACT
Background: Breast cancer requires evaluating treatment plans using dosimetric and biological parameters. Considering radiation dose distribution and tissue response, healthcare professionals can optimize treatment plans for better outcomes. Objective: This study aimed to evaluate the effects of the different Dose Calculation Algorithms (DCAs) and Biologically Model-Related Parameters (BMRPs) on the prediction of cardiopulmonary complications due to left breast radiotherapy. Material and Methods: In this practical study, the treatment plans of 21 female patients were simulated in the Monaco Treatment Planning System (TPS) with a prescribed dose of 50 Gy in 25 fractions. Dose distribution was extracted using the three DCAs [Pencil Beam (PB), Collapsed Cone (CC), and Monte Carlo (MC)]. Cardiopulmonary complications were predicted by Normal Tissue Complication Probability (NTCP) calculations using different dosimetric and biological parameters. The Lyman-Kutcher-Burman (LKB) and Relative-Seriality (RS) models were used to calculate NTCP. The endpoint for NTCP calculation was pneumonitis, pericarditis, and late cardiac mortality. The ANOVA test was used for statistical analysis. Results: In calculating Tumor Control Probability (TCP), a statistically significant difference was observed between the results of DCAs in the Poisson model. The PB algorithm estimated NTCP as less than others for all Pneumonia BMRPs. Conclusion: The impact of DCAs and BMRPs differs in the estimation of TCP and NTCP. DCAs have a stronger influence on TCP calculation, providing more effective results. On the other hand, BMRPs are more effective in estimating NTCP. Consequently, parameters for radiobiological indices should be cautiously used s to ensure the appropriate consideration of both DCAs and BMRPs.
ABSTRACT
This study aimed to estimate lung and breast doses for individual patients using the size-specific dose estimate (SSDE) method, as well as calculating effective doses, in patients who underwent chest CT scans during the COVID-19 pandemic. Cancer risk incidence was estimated using excess relative risk (ERR), excess absolute risk (EAR), and lifetime attributable risk (LAR) models from the Biological Effects of Ionizing Radiation Report VII (BEIR-VII). Data from about 570 patients who underwent CT scans for COVID-19 screening were utilized for this study. Using the header of the CT images in a Python script, SSDE and effective dose were calculated for each patient. The SSDE obtained by water equivalent effective diameter (wSSDE) was considered as lung and breast dose, and applied in organ-specific cancer risk estimation. The mean wSSDE value for females (13.3 mGy) was slightly higher than that for males (13.1 mGy), but the difference was not statistically significant (P value = 0.41). No significant differences were observed between males and females in terms of calculated EAR and ERR for lung cancer at 5 and 30 years after exposure (P value = 0.47, 0.46, respectively). Similarly, there was no significant difference in lung cancer LAR values between females and males (P value = 0.48). The results also indicated a decrease in LAR values for both lung and breast cancers with increasing exposure age. In accordance with the ALARA (as low as reasonably achievable) principle, it is important for medical staff and the general public to consider the benefits of CT imaging in detecting such infections. Additionally, imaging medical physicists and CT scan experts should optimize imaging protocols and strike a balance between image quality for detecting abnormalities and radiation dose, all while adhering to the ALARA principle.
Subject(s)
Breast Neoplasms , COVID-19 , Lung Neoplasms , Male , Female , Humans , Radiation Dosage , Pandemics , COVID-19/epidemiology , COVID-19/etiology , Tomography, X-Ray Computed/adverse effects , Risk Factors , Breast Neoplasms/diagnostic imaging , Breast Neoplasms/epidemiology , Breast Neoplasms/etiology , Lung Neoplasms/etiologyABSTRACT
BACKGROUND: Functional dyspepsia (FD) is felt as a discomfort or pain on the center line or upper abdomen. In this study, we aimed to compare the effects of Govarcin herbal capsule and Metoclopramide for alleviating gastrointestinal symptoms in patients with FD. METHODS: Totally, 106 patients enrolled in a double-blind, clinical trial study. The participants had FD and were divided into two groups receiving Govarcin and Metoclopramide by block randomization. The patients were treated for four weeks, taking one Govarcin capsule or Metoclopramide tablet after each meal. The rate of improvement in patients was assessed by mitigation of clinical symptoms, including epigastric pain, fullness, discomfort, nausea, vomiting and heartburn. Also, before and after intervention, we used Nepin questionnaire and ROME III. SPSS statistics 25 software was used for data analyzing. RESULTS: Clinical symptom score changes between Govarcin and Metoclopramide patients' groups showed that there was no significant difference in any of the clinical symptom scores (except for heartburn, p-value=0.012) between the study groups. Nepean score in Govarcin group before and after treatment were 19.3±4.8 and 8.9±2.8, respectively (p-value<0.001). For Metoclopramide group, these values were 19.8±3.5 and 9.4±2.1 respectively (p-value<0.001). No significant difference was found in terms of Nepean score between the Govarcin and Metoclopramide groups (p-value=0.995). CONCLUSION: Govarcin herbal capsule can be used to remedy symptoms in patients with FD. It seems that Govarcin is as effective as Metoclopramide in fighting symptoms of FD as no significant difference in efficacy has been demonstrated between them.