PURPOSE: This study aimed to compare the possible standard-setting methods for the Korean Radiological Technologist Licensing Examination, which has a fixed cut score, and to suggest the most appropriate method. METHODS: Six radiological technology professors set standards for 250 items on the Korean Radiological Technologist Licensing Examination administered in December 2016 using the Angoff, Ebel, bookmark, and Hofstee methods. RESULTS: With a maximum percentile score of 100, the cut score for the examination was 71.27 using the Angoff method, 62.2 using the Ebel method, 64.49 using the bookmark method, and 62 using the Hofstee method. Based on the Hofstee method, an acceptable cut score for the examination would be between 52.83 and 70, but the cut score was 71.27 using the Angoff method. CONCLUSION: The above results suggest that the best standard-setting method to determine the cut score would be a panel discussion with the modified Angoff or Ebel method, with verification of the rated results by the Hofstee method. Since no standard-setting method has yet been adopted for the Korean Radiological Technologist Licensing Examination, this study will be able to provide practical guidance for introducing a standard-setting process.
Education ; Licensure ; Methods ; Technology, Radiologic

PURPOSE: This study aimed to compare the possible standard-setting methods for the Korean Radiological Technologist Licensing Examination, which has a fixed cut score, and to suggest the most appropriate method. METHODS: Six radiological technology professors set standards for 250 items on the Korean Radiological Technologist Licensing Examination administered in December 2016 using the Angoff, Ebel, bookmark, and Hofstee methods. RESULTS: With a maximum percentile score of 100, the cut score for the examination was 71.27 using the Angoff method, 62.2 using the Ebel method, 64.49 using the bookmark method, and 62 using the Hofstee method. Based on the Hofstee method, an acceptable cut score for the examination would be between 52.83 and 70, but the cut score was 71.27 using the Angoff method. CONCLUSION The above results suggest that the best standard-setting method to determine the cut score would be a panel discussion with the modified Angoff or Ebel method, with verification of the rated results by the Hofstee method. Since no standard-setting method has yet been adopted for the Korean Radiological Technologist Licensing Examination, this study will be able to provide practical guidance for introducing a standard-setting process.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

Purpose: Since the coronavirus disease 2019 (COVID-19) pandemic, the educational environment has moved toward online-based education, which may significantly impact medical students’ educational experiences. However, the same events may be understood differently by different individuals depending on their personalities. Therefore, the changing educational environment during the COVID-19 pandemic may not have been perceived equally by all students. This study aimed to investigate medical students’ personality profiles and the difference between academic burnout and engagement according to their personality profiles. Methods: During the 2021–2022 academic year, when online-based education was implemented due to the pandemic, a survey was conducted among medical students in Korea (N=325). First, we used latent profile analysis to identify the sub-types of the Big Five personalities. Second, we used analysis of variance and post hoc comparisons to study the difference between academic burnout and engagement among these sub-types. Results: The Big Five personality traits of medical students in our sample were classified into three profiles. Profiles with relatively high neuroticism, while other personality traits were low, had both the highest academic burnout and academic engagement. Alternatively, the profiles showing relatively low neuroticism, while other personality traits were high, had the lowest academic burnout and the highest academic engagement. Conclusion Personality is a stable trait that affects an individual’s behavior and response to the environment. Thus, individuals with specific personalities differ in their reactions to their environment. This may provide an advantage to some medical students’ careers.

PURPOSE: Newly developed extra-mammary multiple primary cancers (MPCs) are an issue of concern when considering the management of breast cancer survivors. This study aimed to investigate the prevalence of MPCs and to evaluate the implications of MPCs on the survival of breast cancer patients. MATERIALS AND METHODS: A total of 8204 patients who underwent surgery at Severance Hospital between 1990 and 2012 were retrospectively selected. Clinicopathologic features and survival over follow-up periods of < or =5 and >5 years were investigated using univariate and multivariate analyses. RESULTS: During a mean follow-up of 67.3 months, 962 MPCs in 858 patients (10.5%) were detected. Synchronous and metachronous MPCs were identified in 23.8% and 79.0% of patients, respectively. Thyroid cancer was the most prevalent, and the second most common was gynecologic cancer. At < or =5 years, patients with MPCs were older and demonstrated significantly worse survival despite a higher proportion of patients with lower-stage MPCs. Nevertheless, an increased risk of death in patients with MPCs did not reach statistical significance at >5 years. The causes of death in many of the patients with MPCs were not related to breast cancer. Stage-matched analysis revealed that the implications of MPCs on survival were more evident in the early stages of breast disease. CONCLUSION: Breast cancer patients with MPCs showed worse survival, especially when early-stage disease was identified. Therefore, it is necessary to follow screening programs in breast cancer survivors and to establish guidelines for improving prognosis and quality of life.
Adult ; Aged ; Breast/pathology ; Breast Neoplasms/diagnosis/*mortality ; Female ; Humans ; Middle Aged ; Multivariate Analysis ; Neoplasm Metastasis ; Neoplasm Staging ; Neoplasms, Multiple Primary/diagnosis/*mortality ; Neoplasms, Second Primary/diagnosis/*mortality ; Prognosis ; *Quality of Life ; Republic of Korea/epidemiology ; Retrospective Studies ; Survival Analysis

Purpose: We investigated the treatment response and prognosis using the neutrophil-tolymphocyte ratio (NLR) and standardized uptake value (SUV) of 18F-fluorodeoxyglucose positron emission tomography ( 18F-FDG PET) in neoadjuvant settings. Methods: Baseline NLR and maximum SUV (SUVmax ) were retrospectively analyzed in 273 females with breast cancer who received neoadjuvant chemotherapy followed by surgery.Of these, 101 patients underwent 18F-FDG PET after 3–4 neoadjuvant chemotherapy cycles, which allowed the measurement of ΔSUVmax , an early reduction in SUVmax . NLR and early SUVmax reduction (ΔSUVmax) were classified as low and high, respectively, relative to the median values. Results: The mean NLR was lower, and the mean ΔSUVmax was higher in patients with pathologic complete response (pCR) than in those with residual tumors. The ΔSUVmax was an independent variable associated with pCR. Furthermore, the high NLR group had poor recurrence-free survival (RFS) and overall survival. Among patients with ΔSUVmax data, high NLR (adjusted hazard ratio, 2.82; 95% confidence intervals [CI], 1.26–6.28; P = 0.016) and low ΔSUVmax (adjusted hazard ratio, 2.39; 95% CI, 1.07–5.34; P = 0.037) were independent prognostic factors for poor RFS. The categorization of the patients into four groups according to the combination of NLR and ΔSUVmax showed that patients with high NLR and low ΔSUVmax had significantly poorer RFS. Conclusion Baseline NLR and ΔSUVmax were significantly associated with the prognosis of patients with breast cancer who received neoadjuvant chemotherapy. These results suggest that metabolic non-responders with defective immune systems have worse survival outcomes.