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Objective To examine the incidence of radiation-induced lung injury (RILI) after involved-field intensity-modulated radiation therapy (IMRT) in patients with locally advanced non-small cell lung cancer (NSCLC), and to evaluate the predictability of different models. Methods The clinical data of 242 inoperable or unresectable stage Ⅲ NSCLC patients treated in our hospital from 2007 to 2011 were reviewed. Grade 2 and grade 3 RILI that occurred within 6 months after IMRT were selected as outcome events in this study. The principal component analysis (PCA) model, Lyman-Kutcher-Burman (LKB) model, and mean lung dose (MLD) model were each used to establish a predictive model of normal tissue complication probability (NTCP) for evaluating the dosimetric parameters of IMRT. Results Four principal components were used in the PCA model. The areas under the receiver operating characteristic curve (AUCs) of grade 2 and grade 3 RILI were 0.652 and 0.611, respectively. For the LKB model, the fitted parameters were m=0.46, n=1.35, and D50=23.59 Gy for grade 2 RILI, and m=0.36, n=0.27, and D50=72.67 Gy for grade 3 RILI. The AUCs of grade 2 and grade 3 RILI in the LKB model were 0.607 and 0.585, respectively. For the MLD model, the estimated parameters were γ50=1.073 and D50=24.66 Gy for grade 2 RILI, and γ50=0.97 and D50=48.45 Gy for grade 3 RILI. The AUCs of grade 2 and grade 3 RILI in the MLD model were 0.604 and 0.569, respectively. Conclusions The use of large data set from a single patient population with the same mode of treatment is very important for improving model predictability and stability. Both the LKB model and PCA model can predict the probability of RILI, whereas the MLD model is less effective in predicting grade 3 RILI.
Objective To evaluate the clinical efficacy and prognostic factors of stereotactic body radiotherapy (SBRT) for pulmonary oligometastases, and to further explore the patients most suitable for SBRT. Methods From 2012 to 2105, 51 patients with 76 oligometastatic lung tumors were treated with SBRT. In those patients, 27 had primary lung tumors and the others had extrapulmonary tumors. Seven patients had squamous cell carcinoma, thirty-five had adenocarcinoma, and the rest had other types of cancer. The patients received radiotherapy at a dose of 50 Gy in five fractions or 60 Gy in three fractions. Survival analysis was made by the Kaplan-Meier method. A multivariate analysis was made by the Cox model. Results The 1-and 2-year local control rates were 86%(65/76) and 80%(61/76), respectively. The 1-and 2-year overall survival (OS) rates were 80%(41/51) and 55%(28/51), respectively. The median survival time was 30(2-57) months, while the median progression-free survival time was 8(1-32) months. Twenty-one patients had grade 1 radiation pneumonitis (RP), while one patient had grade 2 RP. The multivariate analysis revealed that no more than 2 oligometastatic lung tumors, progression-free interval (PFI), and a performance score (PS) no higher than 1 were independent factors for OS (all P<0.05). Conclusions SBRT is effective and safe for treating pulmonary oligometastases. The number of oligometastatic lung tumors, PFI, and PS are independent prognostic factors for OS. Suitable patients and the appropriate timing of treatment are key to the efficacy of SBRT.
Objective To evaluate the dosimetric feasibility of three-dimensional (3D) intracavitary brachytherapy in combination with applicator-guided intensity-modulated radiation therapy (IMRT) boost for patients with locally advanced cervical cancer who have unfavorable topography following external beam irradiation. Methods A total of 7 patients with locally advanced cervical cancer who had unfavorable topography following external beam irradiation were included. Two plans were generated for brachytherapy using Oncentra 4.3 treatment planning system:3D intracavitary brachytherapy and 3D intracavitary brachytherapy in combination with applicator-guided IMRT boost. To further evaluate cumulative doses to organs at risk (OAR) in the four fractions of combined plans, two methods were used:simple dose-volume histograms (DVH) parameter addition and deformable image registration (DIR)-based DVH accumulation. The D90, V100, and conformity index (CI) were evaluated. The paired t-test or Wi1coxon signed rank test was used for statistical analysis. Results Compared with the 3D plan, the combined plan yielded higher D90, V100, and CI (P=0.000), but showed no significant difference in D2cc of the rectum, sigmoid colon, and bladder (P>0.05). There were also no significant differences in D2cc of the rectum, sigmoid colon, and bladder calculated by the two methods for calculating OAR cumulative doses, simple DVH parameter addition and DIR-based DVH accumulation (P>0.05). Conclusions For patients with cervical cancer who have unfavorable topography following external beam irradiation, 3D intracavitary brachytherapy in combination with applicator-guided IMRT boost can improve target coverage and CI, without increasing OAR doses. DIR-based DVH accumulation and simple DVH parameter addition may be both acceptable for assessing OAR cumulative doses.
Tumor heterogeneity is characteristic in malignant tumors. It is a new challenge in imageology to achieve the visualization of tumor heterogeneity and precise quantification using modern imaging techniques. To solve this problem, the newly emerging radiomics is applied to analyze tumor spatial heterogeneity, with a visualization effect. Image quantification methods, including histogram analysis, texture analysis, and parametric response mapping, can accelerate the research and development of new drugs, improve the efficacy prediction, modify the treatment regimen, and promote the prognostic evaluation.
Collision neoplasm is a rare clinical disease which characterized by the existence of two distinct neoplasms emerging in the same anatomic location,It almost occured in any part of the body. Case reports of collision neoplasm is relatively few. There is no domestic relevant summary. The author read the reports in recent five years in the pubmed database,WANFANG data and CNKI to point out the location,common pathological types of collision tumor,pathogenesis and so on. Aim to help us better understand collision tumor.
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