The patient is a 15-year-old female who initially presented to our hospital at the age of 6 with complaints of tachycardia. However, no significant abnormalities were identified, and she was subsequently placed under observation. At the age of 7, the patient developed symptoms including headache, chest pain, and absent pulses, accompanied by a pronounced inflammatory response. A thorough diagnostic evaluation was performed, which led to the diagnosis of Takayasu’s arteritis. At that time, computed tomography (CT) imaging revealed a fusiform aortic aneurysm with a maximum short axis diameter of 34 mm, extending from the ascending aorta to the proximal aortic arch. Under vigilant monitoring, by the age of 15, the maximum short diameter had increased to 45 mm, demonstrating progressive enlargement over time. Following a multidisciplinary discussion of treatment options in a heart team conference, it was determined that surgical intervention was warranted. Given that the patient was receiving maintenance therapy for a relapse of arteritis, the dose of prednisolone was reduced to 4 mg prior to performing an ascending partial arch aortic replacement. The postoperative course was uneventful, and the patient was discharged on postoperative day 13. She continues to receive maintenance therapy and undergoes regular CT scans at the outpatient clinic. Childhood-onset Takayasu’s arteritis is exceedingly rare, but with timely surgical intervention and sustained disease management, an improved long-term prognosis can be anticipated.

Background: The processes through which healthcare professionals learn interprofessional communication and develop related perceptions remain insufficiently understood.　Methods: Semi-structured interviews were conducted with eight healthcare professionals with over 10 years of experience. Transcripts were analyzed thematically, and changes in learning and perception were examined using the framework of communities of practice.　Results: Four themes emerged regarding learning processes: (1) observing colleagues, (2) engaging in conversations to learn patient care from other professions, (3) collaborating while mutually understanding professional roles, and (4) practicing collaborative care while maintaining professional responsibilities. Regarding perceptions, four themes were identified: (5) tools for accurate information sharing, (6) tools for fostering mutual understanding, (7) tools for enabling teams to achieve common goals, and (8) competencies essential for healthcare professionals.　Conclusion: Findings suggest that as experienced professionals deepen their participation in communities of practice, interprofessional communication evolves through a process of reinterpreting prior experiences and understandings, leading to gradual transformation and reconstruction of learning and perceptions.

In health professions education in the 21st century, there is a need to move toward a third-generation educational practice oriented toward the transformation of healthcare and social systems. However, few examples of the development of such an educational model have been reported. In the context of community-based health professions education-where universities, governments, and hospitals are attempting to co-create a new type of health professions education, we have developed an educational model grounded in the principles of third-generation health professions education, including problem inquiry and interdisciplinarity. It is a project- and inquiry-based learning model that suggests the possibility for second-year medical students to contribute to social change, however small, through their proactive involvement in the inquiring, investigating, and proposing solutions to local problems. Further dissemination and validation of this model, which embodies the philosophy of third-generation health professions education, are anticipated.

This study aimed to identify new competencies for an educational program designed to cultivate the ability to improve health professions education from an overview and interactive perspective, in response to its increasing complexity. At the Center for Medical Education Development, Gifu University, a competency framework was drafted based on systems thinking, design thinking, and adaptive leadership. A questionnaire survey was conducted to assess the needs of potential participants. The survey targeted 138 medical university staff members who attended the 91st Medical Education Seminar. Multiple regression analysis revealed that willingness to participate was significantly associated with being a healthcare professional and having strong motivation for collaborative improvement. Based on these findings, four competencies were identified: (1) organizational analysis, (2) problem evaluation, (3) improvement design, and (4) collaborative improvement. This study introduces a marketing-informed perspective into FD/SD development, offering a learner-centered approach to educational design and highlighting the importance of collaboration between healthcare professionals and administrative staff in driving educational reform.

Purpose: The study aimed to compare the diagnostic performance of washout-parametric imaging (WOPI) with that of conventional contrast-enhanced ultrasound (cCEUS) in differentiating focal liver lesions (FLLs). Methods: A total of 181 FLLs were imaged with contrast-enhanced ultrasound using Sonazoid, and the recordings were captured for 10 minutes in a prospective setting. WOPI was constructed from three images, depicting the arterial phase (peak enhancement), the early portal venous phase (1-minute post-injection), and the vasculo-Kupffer phase (5 or 10 minutes post-injection). The intensity variations in these images were color-coded and superimposed to produce a single image representing the washout timing across the lesions. From the 181 FLLs, 30 hepatocellular carcinomas (HCCs), 30 non-HCC malignancies, and 30 benign lesions were randomly selected for an observer study. Both techniques (cCEUS and WOPI) were evaluated by four off-site readers. They classified each lesion as benign or malignant using a continuous rating scale, with the endpoints representing "definitely benign" and "definitely malignant." The diagnostic performance of cCEUS and WOPI was compared using the area under the receiver operating characteristic curve (AUC) with the DeLong test. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC). Results: The difference in average AUC values between WOPI and cCEUS was 0.0062 (95% confidence interval, -0.0161 to 0.0285), indicating no significant difference between techniques. The interobserver agreement was higher for WOPI (ICC, 0.77) than cCEUS (ICC, 0.67). Conclusion The diagnostic performance of WOPI is comparable to that of cCEUS in differentiating FLLs, with superior interobserver agreement.

Purpose: The study aimed to compare the diagnostic performance of washout-parametric imaging (WOPI) with that of conventional contrast-enhanced ultrasound (cCEUS) in differentiating focal liver lesions (FLLs). Methods: A total of 181 FLLs were imaged with contrast-enhanced ultrasound using Sonazoid, and the recordings were captured for 10 minutes in a prospective setting. WOPI was constructed from three images, depicting the arterial phase (peak enhancement), the early portal venous phase (1-minute post-injection), and the vasculo-Kupffer phase (5 or 10 minutes post-injection). The intensity variations in these images were color-coded and superimposed to produce a single image representing the washout timing across the lesions. From the 181 FLLs, 30 hepatocellular carcinomas (HCCs), 30 non-HCC malignancies, and 30 benign lesions were randomly selected for an observer study. Both techniques (cCEUS and WOPI) were evaluated by four off-site readers. They classified each lesion as benign or malignant using a continuous rating scale, with the endpoints representing "definitely benign" and "definitely malignant." The diagnostic performance of cCEUS and WOPI was compared using the area under the receiver operating characteristic curve (AUC) with the DeLong test. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC). Results: The difference in average AUC values between WOPI and cCEUS was 0.0062 (95% confidence interval, -0.0161 to 0.0285), indicating no significant difference between techniques. The interobserver agreement was higher for WOPI (ICC, 0.77) than cCEUS (ICC, 0.67). Conclusion The diagnostic performance of WOPI is comparable to that of cCEUS in differentiating FLLs, with superior interobserver agreement.

In recent years, non-cognitive abilities have garnered attention, and their significance is attributed to overall well-being. Social Emotional Learning (SEL) is an educational program specifically focused on the social and emotional aspects of non-cognitive abilities. The domains of SEL are divided into self-awareness, self-management, social awareness, relationship skills, and responsible decision-making. These can be incorporated into various educational settings, including classroom instruction and extracurricular activities. While SEL is primarily introduced in elementary education, non-cognitive abilities remain crucial for higher education and professional training as they both learners and educators.

To educate medical professionals to meet the needs of future medical care, which will be highly complex and require a broader perspective, it is not enough to provide education that emphasizes positivism based on natural scientific thinking, such as clinical reasoning. It is also important to provide education based on a phenomenological perspective that seeks to understand patients’ experiences in the living world and their meaning, as seen in biopsychosocial models. We have developed an online class on clinical reasoning for fourth-year medical students prior to clinical practice, in which students can simultaneously learn clinical reasoning and biopsychosocial models through structured case studies. We expect that this teaching model will be widely adopted, as it allows students to learn both positivist and phenomenological perspectives, and to view patients as individuals in their daily lives, through a multifaceted learning experience using the same case study.

Purpose: The study aimed to compare the diagnostic performance of washout-parametric imaging (WOPI) with that of conventional contrast-enhanced ultrasound (cCEUS) in differentiating focal liver lesions (FLLs). Methods: A total of 181 FLLs were imaged with contrast-enhanced ultrasound using Sonazoid, and the recordings were captured for 10 minutes in a prospective setting. WOPI was constructed from three images, depicting the arterial phase (peak enhancement), the early portal venous phase (1-minute post-injection), and the vasculo-Kupffer phase (5 or 10 minutes post-injection). The intensity variations in these images were color-coded and superimposed to produce a single image representing the washout timing across the lesions. From the 181 FLLs, 30 hepatocellular carcinomas (HCCs), 30 non-HCC malignancies, and 30 benign lesions were randomly selected for an observer study. Both techniques (cCEUS and WOPI) were evaluated by four off-site readers. They classified each lesion as benign or malignant using a continuous rating scale, with the endpoints representing "definitely benign" and "definitely malignant." The diagnostic performance of cCEUS and WOPI was compared using the area under the receiver operating characteristic curve (AUC) with the DeLong test. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC). Results: The difference in average AUC values between WOPI and cCEUS was 0.0062 (95% confidence interval, -0.0161 to 0.0285), indicating no significant difference between techniques. The interobserver agreement was higher for WOPI (ICC, 0.77) than cCEUS (ICC, 0.67). Conclusion The diagnostic performance of WOPI is comparable to that of cCEUS in differentiating FLLs, with superior interobserver agreement.

Purpose: The study aimed to compare the diagnostic performance of washout-parametric imaging (WOPI) with that of conventional contrast-enhanced ultrasound (cCEUS) in differentiating focal liver lesions (FLLs). Methods: A total of 181 FLLs were imaged with contrast-enhanced ultrasound using Sonazoid, and the recordings were captured for 10 minutes in a prospective setting. WOPI was constructed from three images, depicting the arterial phase (peak enhancement), the early portal venous phase (1-minute post-injection), and the vasculo-Kupffer phase (5 or 10 minutes post-injection). The intensity variations in these images were color-coded and superimposed to produce a single image representing the washout timing across the lesions. From the 181 FLLs, 30 hepatocellular carcinomas (HCCs), 30 non-HCC malignancies, and 30 benign lesions were randomly selected for an observer study. Both techniques (cCEUS and WOPI) were evaluated by four off-site readers. They classified each lesion as benign or malignant using a continuous rating scale, with the endpoints representing "definitely benign" and "definitely malignant." The diagnostic performance of cCEUS and WOPI was compared using the area under the receiver operating characteristic curve (AUC) with the DeLong test. Interobserver agreement was assessed using the intraclass correlation coefficient (ICC). Results: The difference in average AUC values between WOPI and cCEUS was 0.0062 (95% confidence interval, -0.0161 to 0.0285), indicating no significant difference between techniques. The interobserver agreement was higher for WOPI (ICC, 0.77) than cCEUS (ICC, 0.67). Conclusion The diagnostic performance of WOPI is comparable to that of cCEUS in differentiating FLLs, with superior interobserver agreement.