15 results on '"Brandi, R"'
Search Results
2. Radiation Therapy After Surgical Resection Improves Outcomes for Patients With Recurrent Pleomorphic Adenoma
- Author
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Sarah E. Nicholas, MD, Wei Fu, MSc, Angela L. Liang, Regina DeLuna, MD, Luka Vujaskovic, Justin Bishop, MD, Brandi R. Page, MD, Harry Quon, MD, Christine Gourin, MD, Carole Fakhry, MD, David Eisele, MD, and Ana P. Kiess, MD, PhD more...
- Subjects
Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Purpose: Pleomorphic adenoma is a benign salivary tumor that may recur multifocally. In case series, the benefit of radiation therapy (RT) for recurrent pleomorphic adenoma remains unclear. We hypothesized that the combination of surgery and adjuvant RT reduces risk of subsequent recurrence compared with surgery alone for recurrent pleomorphic adenoma. Methods and Materials: Patients who received diagnoses of recurrent pleomorphic adenoma between 1980 and 2016 were identified using an institutional pathology database. Medical records were retrospectively reviewed to determine clinical, operative, pathologic, and imaging characteristics. Kaplan-Meier methods were used to estimate local control after surgery, stratified by completeness of resection and receipt of adjuvant RT. The association of variables with risk of subsequent local recurrence was analyzed using Cox proportional hazards model, and variance estimates were calculated to account for multiple recurrences in the same patient. Toxicities were prospectively recorded in a departmental database. Results: A total of 49 patients presented with at least 1 recurrence, of which 28 were managed with surgery alone, and 21 were treated with surgery and RT. The median follow-up time after the initial recurrence was 48 months (range, 6-531 months). There were 35 subsequent recurrences; 34 after surgery alone and only 1 after surgery with RT. On multivariate analysis, adjuvant RT was associated with decreased risk of recurrence (hazard ratio, 0.09; 95% confidence interval, 0.02-0.41, P = .002), whereas increasing number of prior recurrences was associated with increased risk (hazard ratio, 1.23; 95% confidence interval, 1.13-1.35, P < .001). Common toxicities of RT included dermatitis, xerostomia, and mucositis. Conclusions: For patients with recurrent pleomorphic adenoma, the addition of adjuvant RT after surgery is associated with a significant decrease in risk of subsequent tumor recurrence. more...
- Published
- 2021
- Full Text
- View/download PDF
Catalog
3. Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy
- Author
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Cheng, Zhi, Nakatsugawa, Minoru, Hu, Chen, Robertson, Scott P., Hui, Xuan, Moore, Joseph A., Bowers, Michael R., Kiess, Ana P., Page, Brandi R., Burns, Laura, Muse, Mariah, Choflet, Amanda, Sakaue, Kousuke, Sugiyama, Shinya, Utsunomiya, Kazuki, Wong, John W., McNutt, Todd R., and Quon, Harry more...
- Published
- 2018
- Full Text
- View/download PDF
4. Lessons to Learn From a Successful Virtual Mock Oral Examination Pilot Experience
- Author
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Avinash R. Chaurasia, MD, Brandi R. Page, MD, Amanda J. Walker, MD, Kilian Salerno, MD, Kevin Camphausen, MD, Young Kwok, MD, Gopal K. Bajaj, MD, MBA, Daisy Ambrocio, MAE, and Delnora Erickson, MD
- Subjects
Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
oronavirus (COVID-19) has caused marked impact on graduate medical education for all medical specialties. Radiation Oncology and the American Board of Radiology have also had to rapidly adapt to converting education and examinations to virtual platforms. We describe our small pilot experience in transitioning our in-person mock oral examinations to a virtual platform. Survey-based assessment revealed excellent feedback regarding ease of use and educational usefulness. Our mock oral examinations pilot experience adds to evidence that virtual mock oral examinations are an important considerationfor Radiation Oncology education and a feasible alternative to an in-person oral examination. more...
- Published
- 2021
- Full Text
- View/download PDF
5. Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy
- Author
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Zhi Cheng, MD MPH, Minoru Nakatsugawa, PhD, Chen Hu, PhD, Scott P. Robertson, PhD, Xuan Hui, MD MS, Joseph A. Moore, PhD, Michael R. Bowers, BS, Ana P. Kiess, MD PhD, Brandi R. Page, MD, Laura Burns, BSN, Mariah Muse, BSN, Amanda Choflet, MS RN OCN, Kousuke Sakaue, MS, Shinya Sugiyama, MS, Kazuki Utsunomiya, MS, John W. Wong, PhD, Todd R. McNutt, PhD, and Harry Quon, MD MS more...
- Subjects
Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Objective: We explore whether a knowledge–discovery approach building a Classification and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer (HNC) patients treated with radiation therapy (RT) is feasible. Methods and materials: HNC patients from 2007 to 2015 were identified from a prospectively collected database Oncospace. Two prediction models at different time points were developed to predict weight loss ≥5 kg at 3 months post-RT by CART algorithm: (1) during RT planning using patient demographic, delineated dose data, planning target volume–organs at risk shape relationships data and (2) at the end of treatment (EOT) using additional on-treatment toxicities and quality of life data. Results: Among 391 patients identified, WL predictors during RT planning were International Classification of Diseases diagnosis; dose to masticatory and superior constrictor muscles, larynx, and parotid; and age. At EOT, patient-reported oral intake, diagnosis, N stage, nausea, pain, dose to larynx, parotid, and low-dose planning target volume–larynx distance were significant predictive factors. The area under the curve during RT and EOT was 0.773 and 0.821, respectively. Conclusions: We demonstrate the feasibility and potential value of an informatics infrastructure that has facilitated insight into the prediction of WL using the CART algorithm. The prediction accuracy significantly improved with the inclusion of additional treatment-related data and has the potential to be leveraged as a strategy to develop a learning health system. more...
- Published
- 2018
- Full Text
- View/download PDF
6. The pervasive crisis of diminishing radiation therapy access for vulnerable populations in the United States, part 1: African-American patients
- Author
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McClelland, Shearwood, III, Page, Brandi R., Jaboin, Jerry J., Chapman, Christina H., Deville, Curtiland, Jr, and Thomas, Charles R., Jr
- Published
- 2017
- Full Text
- View/download PDF
7. The pervasive crisis of diminishing radiation therapy access for vulnerable populations in the United States, part 1: African-American patients
- Author
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Shearwood McClelland, III, MD, Brandi R. Page, MD, Jerry J. Jaboin, MD, PhD, Christina H. Chapman, MD, MS, Curtiland Deville, Jr, MD, and Charles R. Thomas, Jr, MD
- Subjects
Medical physics. Medical radiology. Nuclear medicine ,R895-920 ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Introduction: African Americans experience the highest burden of cancer incidence and mortality in the United States and have been persistently less likely to receive interventional care, even when such care has been proven superior to conservative management by randomized controlled trials. The presence of disparities in access to radiation therapy (RT) for African American cancer patients has rarely been examined in an expansive fashion. Methods and materials: An extensive literature search was performed using the PubMed database to examine studies investigating disparities in RT access for African Americans. Results: A total of 55 studies were found, spanning 11 organ systems. Disparities in access to RT for African Americans were most prominently study in cancers of the breast (23 studies), prostate (7 studies), gynecologic system (5 studies), and hematologic system (5 studies). Disparities in RT access for African Americans were prevalent regardless of organ system studied and often occurred independently of socioeconomic status. Fifty of 55 studies (91%) involved analysis of a population-based database such as Surveillance, Epidemiology and End Result (SEER; 26 studies), SEER-Medicare (5 studies), National Cancer Database (3 studies), or a state tumor registry (13 studies). Conclusions: African Americans in the United States have diminished access to RT compared with Caucasian patients, independent of but often in concert with low socioeconomic status. These findings underscore the importance of finding systemic and systematic solutions to address these inequalities to reduce the barriers that patient race provides in receipt of optimal cancer care. more...
- Published
- 2017
- Full Text
- View/download PDF
8. Cross-Sectional Gender Analysis of US Radiation Oncology Residency Programs in 2019: More Than a Pipeline Issue?
- Author
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Jessica Schuster, Ashley Albert, Eldrin Bhanat, Teessa Perekattu Kuruvilla, Amy Parr, Emma B. Holliday, Brandi R. Page, Christina H. Chapman, Toms Vengaloor Thomas, and Srinivasan Vijayakumar
- Subjects
medicine.medical_specialty ,Academic year ,business.industry ,education ,Graduate medical education ,Brief Opinion ,030218 nuclear medicine & medical imaging ,Test (assessment) ,03 medical and health sciences ,symbols.namesake ,0302 clinical medicine ,Oncology ,030220 oncology & carcinogenesis ,Family medicine ,Radiation oncology ,symbols ,Medicine ,Gender analysis ,Radiology, Nuclear Medicine and imaging ,business ,Fisher's exact test ,Gender disparity ,Accreditation - Abstract
Purpose The purpose of this study is to assess the current status of gender disparities in academic radiation oncology departments in the United States and the associated factors. Methods and Materials The data were collected from publicly available resources, including websites of individual radiation oncology programs, the Fellowship and Residency Electronic Interactive Database, the Accreditation Council for Graduate Medical Education, and the Association of American Medical Colleges. We collected data on the gender information of residents in each year (postgraduate years 2-5) and of the faculty (attendings, program director, and chair) during the academic year 2018 to 2019. Spearman’s rho test, Pearson’s chi-squared test, and Fisher exact tests were used for evaluating the correlation among variables using SPSS version 24. Results Women constituted 30.8% of radiation oncology residents in the United States in 2019. Eight programs (12.5%) did not have any female residents in their programs, whereas 6 programs (9%) had women constituting more than half of their resident class. The fraction of female medical students applying to radiation oncology over the last 7 years varied between 27% and 33%. Female attending physicians accounted for 30.5% of all the attending physicians in the academic programs. In the leadership positions of the department, the gender gap was wider where only 19 (20%) and 11 (12%) of programs had female program director or chair, respectively. There was a positive correlation between the number of attending physicians and the number of female residents in programs (P = .01). Conclusions A significant gender disparity continues to exist among the residents and physicians in the academic radiation oncology departments in the US. This disparity is pronounced in the leadership positions. The results of this study could be used as a benchmark to evaluate the progress that has been made by the efforts to improve gender disparities in radiation oncology. more...
- Published
- 2020
- Full Text
- View/download PDF
9. An Integrated Program in a Pandemic: Johns Hopkins Radiation Oncology Department
- Author
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F. Asrari, Raul Gonzalez, R. Voong, Todd McNutt, Christina Tsien, Jennifer Vogel, Amol Narang, Sara R. Alcorn, Matthew M. Ladra, Jean L. Wright, Ana P. Kiess, J. Wieworka, S. Han-Oh, Amanda J. Walker, Lan Lin, Russel Hales, Marikki Laiho, Roberta Anderson, Danny Y. Song, Akila N. Viswanathan, Victoria Croog, Phuoc T. Tran, Kristin J. Redmond, Harry Quon, Brandi R. Page, Stephen Greco, Jeffrey J Meyer, Lawrence Kleinberg, and Curtiland Deville more...
- Subjects
2019-20 coronavirus outbreak ,Oncology ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Radiation oncology ,Pandemic ,MEDLINE ,medicine ,Radiology, Nuclear Medicine and imaging ,Medical emergency ,medicine.disease ,business - Published
- 2020
- Full Text
- View/download PDF
10. Lessons to Learn From a Successful Virtual Mock Oral Examination Pilot Experience
- Author
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Chaurasia, Avinash R., Page, Brandi R., Walker, Amanda J., Salerno, Kilian, Camphausen, Kevin, Kwok, Young, Bajaj, Gopal K., Ambrocio, Daisy, and Erickson, Delnora
- Published
- 2021
- Full Text
- View/download PDF
11. Radiation Therapy After Surgical Resection Improves Outcomes for Patients With Recurrent Pleomorphic Adenoma
- Author
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Harry Quon, David W. Eisele, Luka Vujaskovic, Carole Fakhry, Sarah Nicholas, Christine G. Gourin, Justin A. Bishop, Angela L. Liang, Wei Fu, Brandi R. Page, Ana P. Kiess, and Regina DeLuna
- Subjects
medicine.medical_specialty ,Multivariate analysis ,medicine.medical_treatment ,R895-920 ,030218 nuclear medicine & medical imaging ,Pleomorphic adenoma ,03 medical and health sciences ,Medical physics. Medical radiology. Nuclear medicine ,0302 clinical medicine ,medicine ,Radiology, Nuclear Medicine and imaging ,Scientific Article ,RC254-282 ,business.industry ,Proportional hazards model ,Medical record ,Hazard ratio ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,medicine.disease ,Confidence interval ,Radiation therapy ,Oncology ,030220 oncology & carcinogenesis ,Radiology ,business ,Adjuvant - Abstract
Purpose: Pleomorphic adenoma is a benign salivary tumor that may recur multifocally. In case series, the benefit of radiation therapy (RT) for recurrent pleomorphic adenoma remains unclear. We hypothesized that the combination of surgery and adjuvant RT reduces risk of subsequent recurrence compared with surgery alone for recurrent pleomorphic adenoma. Methods and Materials: Patients who received diagnoses of recurrent pleomorphic adenoma between 1980 and 2016 were identified using an institutional pathology database. Medical records were retrospectively reviewed to determine clinical, operative, pathologic, and imaging characteristics. Kaplan-Meier methods were used to estimate local control after surgery, stratified by completeness of resection and receipt of adjuvant RT. The association of variables with risk of subsequent local recurrence was analyzed using Cox proportional hazards model, and variance estimates were calculated to account for multiple recurrences in the same patient. Toxicities were prospectively recorded in a departmental database. Results: A total of 49 patients presented with at least 1 recurrence, of which 28 were managed with surgery alone, and 21 were treated with surgery and RT. The median follow-up time after the initial recurrence was 48 months (range, 6-531 months). There were 35 subsequent recurrences; 34 after surgery alone and only 1 after surgery with RT. On multivariate analysis, adjuvant RT was associated with decreased risk of recurrence (hazard ratio, 0.09; 95% confidence interval, 0.02-0.41, P = .002), whereas increasing number of prior recurrences was associated with increased risk (hazard ratio, 1.23; 95% confidence interval, 1.13-1.35, P < .001). Common toxicities of RT included dermatitis, xerostomia, and mucositis. Conclusions: For patients with recurrent pleomorphic adenoma, the addition of adjuvant RT after surgery is associated with a significant decrease in risk of subsequent tumor recurrence. more...
- Published
- 2021
12. Lessons to Learn From a Successful Virtual Mock Oral Examination Pilot Experience
- Author
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Daisy Ambrocio, Delnora Erickson, Kevin Camphausen, Avinash R. Chaurasia, Young Kwok, Gopal K. Bajaj, Amanda J. Walker, Kilian Salerno, and Brandi R. Page
- Subjects
lcsh:Medical physics. Medical radiology. Nuclear medicine ,medicine.medical_specialty ,Coronavirus disease 2019 (COVID-19) ,business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,lcsh:R895-920 ,Graduate medical education ,MEDLINE ,Usability ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,lcsh:RC254-282 ,Article ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Oncology ,030220 oncology & carcinogenesis ,Radiation oncology ,Medicine ,Oral examination ,Radiology, Nuclear Medicine and imaging ,Medical physics ,business ,Virtual platform - Abstract
oronavirus (COVID-19) has caused marked impact on graduate medical education for all medical specialties. Radiation Oncology and the American Board of Radiology have also had to rapidly adapt to converting education and examinations to virtual platforms. We describe our small pilot experience in transitioning our in-person mock oral examinations to a virtual platform. Survey-based assessment revealed excellent feedback regarding ease of use and educational usefulness. Our mock oral examinations pilot experience adds to evidence that virtual mock oral examinations are an important considerationfor Radiation Oncology education and a feasible alternative to an in-person oral examination. more...
- Published
- 2021
13. Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy
- Author
-
Ana P. Kiess, Zhi Cheng, Kousuke Sakaue, Utsunomiya Kazuki, Laura Burns, M.R. Bowers, Todd McNutt, Scott P. Robertson, Harry Quon, Chen Hu, Xuan Hui, Brandi R. Page, Shinya Sugiyama, John Wong, Joseph Moore, Minoru Nakatsugawa, M. Muse, and A. Choflet more...
- Subjects
Larynx ,Oncology ,Cart ,lcsh:Medical physics. Medical radiology. Nuclear medicine ,medicine.medical_specialty ,medicine.medical_treatment ,lcsh:R895-920 ,lcsh:RC254-282 ,030218 nuclear medicine & medical imaging ,03 medical and health sciences ,0302 clinical medicine ,Quality of life ,Weight loss ,Internal medicine ,medicine ,Radiology, Nuclear Medicine and imaging ,business.industry ,Head and neck cancer ,Area under the curve ,medicine.disease ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,Head and Neck Cancer ,Radiation therapy ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Informatics ,medicine.symptom ,business - Abstract
Objective We explore whether a knowledge–discovery approach building a Classification and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer (HNC) patients treated with radiation therapy (RT) is feasible. Methods and materials HNC patients from 2007 to 2015 were identified from a prospectively collected database Oncospace. Two prediction models at different time points were developed to predict weight loss ≥5 kg at 3 months post-RT by CART algorithm: (1) during RT planning using patient demographic, delineated dose data, planning target volume–organs at risk shape relationships data and (2) at the end of treatment (EOT) using additional on-treatment toxicities and quality of life data. Results Among 391 patients identified, WL predictors during RT planning were International Classification of Diseases diagnosis; dose to masticatory and superior constrictor muscles, larynx, and parotid; and age. At EOT, patient-reported oral intake, diagnosis, N stage, nausea, pain, dose to larynx, parotid, and low-dose planning target volume–larynx distance were significant predictive factors. The area under the curve during RT and EOT was 0.773 and 0.821, respectively. Conclusions We demonstrate the feasibility and potential value of an informatics infrastructure that has facilitated insight into the prediction of WL using the CART algorithm. The prediction accuracy significantly improved with the inclusion of additional treatment-related data and has the potential to be leveraged as a strategy to develop a learning health system. more...
- Published
- 2018
14. The pervasive crisis of diminishing radiation therapy access for vulnerable populations in the United States, part 1: African-American patients
- Author
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Jerry J. Jaboin, Christina H. Chapman, Curtiland Deville, Shearwood McClelland, Charles R. Thomas, and Brandi R. Page
- Subjects
lcsh:Medical physics. Medical radiology. Nuclear medicine ,Gerontology ,medicine.medical_specialty ,lcsh:R895-920 ,medicine.medical_treatment ,Population ,MEDLINE ,lcsh:RC254-282 ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,Randomized controlled trial ,law ,Epidemiology ,medicine ,Radiology, Nuclear Medicine and imaging ,030212 general & internal medicine ,education ,Socioeconomic status ,education.field_of_study ,business.industry ,Disparity ,Cancer ,lcsh:Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,medicine.disease ,Health equity ,Radiation therapy ,Oncology ,030220 oncology & carcinogenesis ,business ,Demography - Abstract
Introduction African Americans experience the highest burden of cancer incidence and mortality in the United States and have been persistently less likely to receive interventional care, even when such care has been proven superior to conservative management by randomized controlled trials. The presence of disparities in access to radiation therapy (RT) for African American cancer patients has rarely been examined in an expansive fashion. Methods and materials An extensive literature search was performed using the PubMed database to examine studies investigating disparities in RT access for African Americans. Results A total of 55 studies were found, spanning 11 organ systems. Disparities in access to RT for African Americans were most prominently study in cancers of the breast (23 studies), prostate (7 studies), gynecologic system (5 studies), and hematologic system (5 studies). Disparities in RT access for African Americans were prevalent regardless of organ system studied and often occurred independently of socioeconomic status. Fifty of 55 studies (91%) involved analysis of a population-based database such as Surveillance, Epidemiology and End Result (SEER; 26 studies), SEER-Medicare (5 studies), National Cancer Database (3 studies), or a state tumor registry (13 studies). Conclusions African Americans in the United States have diminished access to RT compared with Caucasian patients, independent of but often in concert with low socioeconomic status. These findings underscore the importance of finding systemic and systematic solutions to address these inequalities to reduce the barriers that patient race provides in receipt of optimal cancer care. more...
- Published
- 2017
15. Evaluation of classification and regression tree (CART) model in weight loss prediction following head and neck cancer radiation therapy.
- Author
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Cheng Z, Nakatsugawa M, Hu C, Robertson SP, Hui X, Moore JA, Bowers MR, Kiess AP, Page BR, Burns L, Muse M, Choflet A, Sakaue K, Sugiyama S, Utsunomiya K, Wong JW, McNutt TR, and Quon H
- Abstract
Objective: We explore whether a knowledge-discovery approach building a Classification and Regression Tree (CART) prediction model for weight loss (WL) in head and neck cancer (HNC) patients treated with radiation therapy (RT) is feasible., Methods and Materials: HNC patients from 2007 to 2015 were identified from a prospectively collected database Oncospace. Two prediction models at different time points were developed to predict weight loss ≥5 kg at 3 months post-RT by CART algorithm: (1) during RT planning using patient demographic, delineated dose data, planning target volume-organs at risk shape relationships data and (2) at the end of treatment (EOT) using additional on-treatment toxicities and quality of life data., Results: Among 391 patients identified, WL predictors during RT planning were International Classification of Diseases diagnosis; dose to masticatory and superior constrictor muscles, larynx, and parotid; and age. At EOT, patient-reported oral intake, diagnosis, N stage, nausea, pain, dose to larynx, parotid, and low-dose planning target volume-larynx distance were significant predictive factors. The area under the curve during RT and EOT was 0.773 and 0.821, respectively., Conclusions: We demonstrate the feasibility and potential value of an informatics infrastructure that has facilitated insight into the prediction of WL using the CART algorithm. The prediction accuracy significantly improved with the inclusion of additional treatment-related data and has the potential to be leveraged as a strategy to develop a learning health system. more...
- Published
- 2017
- Full Text
- View/download PDF
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