Purpose:This study compared three different methods used in registering cone-beam computed tomography (CBCT) image set with planning CT image set for determining patient setup uncertainties during volumetric modulated arc therapy (VMAT) for breast cancer patients.Materials and Methods:Seven breast cancer patients treated with 50 Gy in 25 fractions using VMAT technique were chosen for this study. A total of 105 CBCT scans were acquired by image guidance protocol for patient setup verification. Approved plans’ CT images were used as the reference image sets for registration with their corresponding CBCT image sets. Setup errors in mediolateral, craniocaudal, and anteroposterior direction were determined using gray-scale matching between the reference CT images and onboard CBCT images. Patient setup verification was performed using clip-box registration (CBR) method during online imaging. Considering the CBR method as the reference, two more registrations were performed using mask registration (MR) method and dual registration (DR) (CBR + MR) method in the offline mode. For comparison, systematic error (∑), random error (σ), mean displacement vector (R), mean setup error (M), and registration time (Rt) were analyzed. Post hoc Tukey's honest significant difference test was performed for multiple comparisons.Results:Systematic and random errors were less in CBR as compared to MR and DR (P > 0.05). The mean displacement error and mean setup errors were less in CBR as compared to MR and DR (P > 0.05). Increased Rt was observed in DR as compared to CBR and MR (P < 0.05). In addition, multiple comparisons did not show any significant difference in patient setup error (P > 0.05).Conclusion:For breast VMAT plan delivery, all three registration methods show insignificant variation in patient setup error. One can use any of the three registration methods for patient setup verification.
Context:The term media on a whole pertain to the main method of mass communication. The chief aim of the media is communication, with the objective of educating, informing, and entertaining the audience. It is unknown how accurately the media reports the topics related to mental health issues.Aims:The aim of this study is to explore the extent and nature of coverage of mental health issues in printed media.Settings and Design:Data collection for the present study was conducted at the Library Gian Sagar College of Nursing, Ram Nagar, District Patiala, Punjab, in January 2017. A quantitative research approach with exploratory research design was adopted to explore the extent and nature of coverage of mental health issues in printed media.Subjects and Methods:By purposive sampling technique, 923 printed media from which a sample of 839 articles was drawn, i.e., N = 839 (N1 for newspapers, N1 = 827 and N2 for magazines, N2 = 12) with the help of search terms which consisted of 32 general and diagnostic terms covering the full range of mental disorders.Statistical Analysis Used:Descriptive statistics were used.Results:One hundred and ninety-three (23%) articles on mental health issues appeared in the city/region section. Two hundred and one (32%) articles in newspapers did not mention the author. The most common theme of articles in newspapers was suicide 169 (25%) followed by substance abuse 209 (20%). The neutral description was used by 589 (71%) of all articles.Conclusions:Majority of the articles appeared in the city/region section with neutral/nature.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.