Assessing knowledge about medical physics in language-generative AI with large language model: using the medical physicist exam.

This study aimed to evaluate the performance for answering the Japanese medical physicist examination and providing the benchmark of knowledge about medical physics in language-generative AI with large language model. We used questions from Japan's 2018, 2019, 2020, 2021 and 2022 medical physicist board examinations, which covered various question types, including multiple-choice questions, and mainly focused on general medicine and medical physics. ChatGPT-3.5 and ChatGPT-4.0 (OpenAI) were used. We compared the AI-based answers with the correct ones. The average accuracy rates were 42.2 ± 2.5% (ChatGPT-3.5) and 72.7 ± 2.6% (ChatGPT-4), showing that ChatGPT-4 was more accurate than ChatGPT-3.5 [all categories (except for radiation-related laws and recommendations/medical ethics): p value < 0.05]. Even with the ChatGPT model with higher accuracy, the accuracy rates were less than 60% in two categories; radiation metrology (55.6%), and radiation-related laws and recommendations/medical ethics (40.0%). These data provide the benchmark for knowledge about medical physics in ChatGPT and can be utilized as basic data for the development of various medical physics tools using ChatGPT (e.g., radiation therapy support tools with Japanese input).

Development of deep learning-based novel auto-segmentation for the prostatic urethra on planning CT images for prostate cancer radiotherapy.

Urinary toxicities are one of the serious complications of radiotherapy for prostate cancer, and dose-volume histogram of prostatic urethra has been associated with such toxicities in previous reports. Previous research has focused on estimating the prostatic urethra, which is difficult to delineate in CT images; however, these studies, which are limited in number, mainly focused on cases undergoing brachytherapy uses low-dose-rate sources and do not involve external beam radiation therapy (EBRT). In this study, we aimed to develop a deep learning-based method of determining the position of the prostatic urethra in patients eligible for EBRT. We used contour data from 430 patients with localized prostate cancer. In all cases, a urethral catheter was placed when planning CT to identify the prostatic urethra. We used 2D and 3D U-Net segmentation models. The input images included the bladder and prostate, while the output images focused on the prostatic urethra. The 2D model determined the prostate's position based on results from both coronal and sagittal directions. Evaluation metrics included the average distance between centerlines. The average centerline distances for the 2D and 3D models were 2.07 ± 0.87 mm and 2.05 ± 0.92 mm, respectively. Increasing the number of cases while maintaining equivalent accuracy as we did in this study suggests the potential for high generalization performance and the feasibility of using deep learning technology for estimating the position of the prostatic urethra.

Association of worker's mental health with changes in exercise time, going-out time, and screen time (TV time, internet time, and game time) before and after the COVID-19 pandemic: A cross-sectional study.

The coronavirus disease 2019 (COVID-19) pandemic and government regulations have affected the daily lives and mental health of individuals worldwide. This study aimed to determine how much the change in time spent on exercise (exercise time), outdoor activities ("going-out" time), and screen usage (screen time) before and after the COVID-19 pandemic has affected mental health (depression, anxiety, and insomnia). In June 2021, during the third wave of the COVID-19 pandemic, a web-based, cross-sectional survey was conducted in Japan through an online research company. A total of 824 workers participated in this study. Depression, anxiety, and insomnia were assessed using the Patient Health Questionnaire-9, General Anxiety Disorder-7, and Insomnia Severity Index, respectively. The symptoms of depression were associated with age and decreased exercise time. Symptoms of anxiety were associated with not decreased going-out time. Symptoms of insomnia were associated with reduced exercise time. The results indicated that during the COVID-19 pandemic, an increase in exercise time could have prevented depression and insomnia. Similarly, a decrease in going-out time could have prevented anxiety. Furthermore, in the event of future outbreaks of unpredictable infections, such as COVID-19, decreased going out and increased exercise may help maintain mental health.

Significant Weight Gain With the Administration of Lurasidone and Valproic Acid in Schizophrenia and Bipolar Disorder Patients.

Antipsychotics are frequently used to treat psychiatric disorders and have been associated with weight gain. Mental disorders are likely to reduce patients' quality of life. Unhealthy lifestyles such as reduced physical activity, sleep disturbances, and irregular diets can lead to weight gain. Herein, we report two cases of schizophrenia and bipolar disorder who had a 10-kg gain in weight in six months with the administration of lurasidone and valproic acid. Lurasidone has fewer side effects, such as weight gain and somnolence. However, concomitant use of sedating antipsychotics or mood stabilizers in the acute phase and multiple doses increase the risk of weight gain. Additionally, various factors, including psychiatric symptoms and lifestyle changes, are believed to contribute to weight gain, and a comprehensive approach should be followed.

Economic costs for outpatient treatment of eating disorders in Japan.

BACKGROUND: Few studies have examined the economic costs of outpatient care for eating disorders in Japan. This study aimed to clarify the reimbursement for outpatient treatment of eating disorders and compare the costs between the departments of Psychosomatic Medicine and Psychiatry in Japan. METHOD: A multicenter, prospective, observational study of patients with an eating disorder was conducted in the Psychosomatic Medicine departments of three centers and the Psychiatry departments of another three centers in Japan. We analyzed medical reimbursement for an outpatient revisit, time of clinical interviews, and the treatment outcome measured by the Eating Disorder Examination Questionnaire (EDE-Q) global scores and body mass index (BMI) at 3 months. Multivariate linear regression models were performed to adjust for covariates. RESULTS: This study included 188 patients in the Psychosomatic Medicine departments and 68 in the Psychiatry departments. The average reimbursement cost for an outpatient revisit was 4670 yen. Even after controlling for covariates, the Psychosomatic Medicine departments had lower reimbursement points per minute of interviews than the Psychiatry departments (coefficient = - 23.86; 95% confidence interval = - 32.09 to - 15.63; P < 0.001). In contrast, EDE-Q global scores and BMI at 3 months were not significantly different between these departments. CONCLUSIONS: This study clarifies the economic costs of treating outpatients with eating disorders in Japan. The medical reimbursement points per interview minute were lower in Psychosomatic Medicine departments than in Psychiatry departments, while there were no apparent differences in the treatment outcomes. Addressing this issue is necessary to provide an adequate healthcare system for patients with eating disorders in Japan.

This study examined the cost of outpatient care for eating disorders in Japan, comparing treatment costs between the Psychosomatic Medicine and Psychiatry departments. The actual cost of outpatient care for eating disorders in Japan was clarified. The results indicate that Psychosomatic Medicine departments have lower reimbursement points per interview time compared to the Psychiatry departments, but there were no noticeable differences in treatment outcomes between the two. This highlights the need to address this cost difference to improve the healthcare system for patients with eating disorders in Japan.

Delayed recognition of autism spectrum disorder and attention-deficit/hyperactivity disorder in a girl with ornithine transcarbamylase deficiency: A case report.

RATIONALE: Ornithine transcarbamylase (OTC) deficiency, a urea cycle disorder, is a rare congenital metabolic error that leads to hyperammonemia. Psychiatric symptoms of hyperammonemia are nonspecific and can cause autism spectrum disorder (ASD)-like symptoms and attention-deficit/hyperactivity disorder (ADHD)-like symptoms. Some studies report that OTC deficiency is often initially diagnosed as ASD or ADHD. However, there are no reports of OTC deficiency comorbid with ASD and ADHD. PATIENT CONCERNS: The patient is 17-year-old girl diagnosed with OTC deficiency at 3 years of age. She had behavioral problems since childhood, including depressed mood, irritability, and impulsive behavior; however, they were considered OTC-mediated nonspecific psychiatric symptoms. Therefore, the patient had not been appropriately assessed for ASD and ADHD. She presented with depressed mood and self-harm at 17 years of age. DIAGNOSES: We diagnosed her with ASD and ADHD based on her medical history and semistructured interviews. INTERVENTIONS: We focused her ASD and ADHD traits and discussed strategies with her for better adaptive living. OUTCOMES: Our interventions resulted in her better social adjustment. LESSONS: Physicians should consider the possibility of comorbid ASD and ADHD in individuals with OTC, facilitating appropriate and intervention for better outcomes.

Ten-year trends in long-term sickness absence among Japanese public servants: 2009-2018.

Sickness absences are a significant public health and economic problem worldwide. However, sickness absence diagnoses and trends have not been reported in much detail in Japan. This study was a retrospective cohort study. We examined data on certified diagnoses and the durations of sickness absence lasting over 90 days (long-term sickness absence) from 2009-2018 among city public servants in Japan. We found that 1) "Mental and behavioral disorders" (495.0-780.6 per 100,000 employees) was the most prevalent reason for long-term sickness absence, and "Mood disorders" (318.6-584.3 per 100,000 employees) was the most prevalent mental disorders diagnosis in each study year; 2) the prevalence of long-term sickness absence for mental disorders showed decreasing trends (781/100,000 in 2009 to 622/100,000 in 2018; [p=0.005, for the trend test]); 3) the trends differed by gender (p<0.05) and age (p<0.001); and 4) the duration of long-term sickness absence related to mental disorders (13.2 ± 9.0 months) was longer than long-term sickness absence resulting from all physical disorders except for diseases of the circulatory system (15.1 ± 11.6 months). Increased focus on significant depressive and neurotic disorders is needed when promoting mental health in the workplace.

Optimal uric acid reduction to improve vascular endothelial function in patients with chronic heart failure complicated by hyperuricemia.

Although an association of serum uric acid levels with endothelial function has been shown in various clinical settings, the optimal treatment target that would benefit vascular endothelial function has not been established. We, therefore, conducted a post hoc analysis of the Excited-UA study to identify an optimal target. Patients (N = 133) with chronic heart failure and comorbid hyperuricemia who enrolled in the Excited-UA study were divided into three tertiles based on their serum uric acid level 24 weeks after initiating xanthine oxidase inhibitor treatment with topiroxostat or allopurinol (i.e., groups with low, moderate, and high uric acid levels). Flow-mediated dilation (FMD) and reactive hyperemia index (RHI) values measured by reactive hyperemia peripheral arterial tonometry (RH-PAT) were compared among groups. The change from baseline in the FMD value 24 weeks after treatment was comparable among the three groups. In contrast, the change from baseline in the RHI was significantly different among the three groups (-0.153 ± 0.073, 0.141 ± 0.081 and -0.103 ± 0.104 in the low, moderate, and high uric acid level groups, respectively, P = 0.032). After adjustment for age, body mass index, and concomitant use of diuretics, which differed among the three groups, the change in the RHI in the moderate uric acid level group tended to be higher than that in the high uric acid level group (P = 0.057) and was significantly higher than that in the low uric acid level group (P = 0.020). These results indicate that targeting excessively low uric acid levels by treatment with xanthine oxidase inhibitors might be less beneficial for improving microvascular endothelial function in patients with chronic heart failure. Comparisons of the changes from baseline in vascular endothelial function parameters at 24 weeks among the 3 groups of low, moderae and high uric acid levels achieved with xanthine oxidase inhibitors. After adjustment for confounding factors, such as age, body mass index and concomitant diuretic use, which showed differences among the 3 groups, the change in RHI in the moderate uric acid level group tended to be higher than that in the high uric acid level group and was significantly higher than that in the low uric acid level group.

Adoption of inpatient family-based treatment for anorexia nervosa: A case report.

Background: Family-based treatment (FBT) is effective for the treatment of anorexia nervosa (AN) in children and adolescents. However, its availability in Japan is limited because it requires adherence to specific guidelines, commitment of sufficient time for frequent outpatient treatment, as well as the entire family's participation. We present a case of a patient with AN who was treated with modified FBT during hospitalization. Case Presentation: Our patient was a 14-year-old girl with AN. She was hospitalized for malnutrition and dehydration, and was introduced to FBT during this period. After discharge, she continued FBT on an outpatient basis and was in remission 1 year later. Conclusion: This case shows that initiation of FBT during hospitalization may be useful in patients with physically severe AN. Flexible adaptation to each of the diverse healthcare systems and cultural differences may be necessary for the widespread use of FBT.

Associations between Internet Addiction, Psychiatric Comorbidity, and Maternal Depression and Anxiety in Clinically Referred Children and Adolescents.

Purpose: Internet addiction (IA) has become a global problem and is one of the most common reasons for children to be referred for intervention because IA results in social and educational dysfunction and conflict with parents. IA is associated with various comorbid psychiatric disorders, with notable association between IA and family factors. However, little is known about parental psychopathology. This study aimed to examine the prevalence of IA and association between IA and maternal depression and anxiety in clinical samples after adjusting for comorbidities. Patients and Methods: A cross-sectional study was conducted between April 2020 and August 2021 at the Department of Neuropsychiatry of Osaka Metropolitan University Hospital in Japan. A total of 218 clinically referred children and adolescents (aged 8 to 15 years) were assessed using the Internet Addiction Test, which is one of the most popular questionnaires to evaluate IA, the Child Behavior Checklist (CBCL), and The Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children-Present and Lifetime Version. IA was defined as a total score on the Internet Addiction Test ≥ 50. Of those, for the evaluation of maternal depression and anxiety, the 132 mothers of the children who were referred after January 2021 completed K6 as well. Results: A total of 68 participants (31.2%) presented with IA and had higher total and externalizing scores of CBCL, social anxiety disorder, and oppositional defiant disorder compared to those without IA. IA was associated with the six-item Kessler scale scores of mothers, being raised by single parents, and anxiety disorders after adjusting for age, sex, and family income (95% CI: 1.023-1.215). Conclusion: Maternal depression and anxiety may be one of the risk factors for children and adolescents to develop IA. Care for maternal depression and anxiety may contribute to intervention for children and adolescents with IA.

Deep convolutional neural networks for automated scoring of pentagon copying test results.

This study aims to investigate the accuracy of a fine-tuned deep convolutional neural network (CNN) for evaluating responses to the pentagon copying test (PCT). To develop a CNN that could classify PCT images, we fine-tuned and compared the pre-trained CNNs (GoogLeNet, VGG-16, ResNet-50, Inception-v3). To collate our training dataset, we collected 1006 correct PCT images and 758 incorrect PCT images drawn on a test sheet by dementia suspected patients at the Osaka City Kosaiin Hospital between April 2009 and December 2012. For a validation dataset, we collected PCT images from consecutive patients treated at the facility in April 2020. We examined the ability of the CNN to detect correct PCT images using a validation dataset. For a validation dataset, we collected PCT images (correct, 41; incorrect, 16) from 57 patients. In the validation testing for an ability to detect correct PCT images, the fine-tuned GoogLeNet CNN achieved an area under the receiver operating characteristic curve of 0.931 (95% confidence interval 0.853-1.000). These findings indicate that our fine-tuned CNN is a useful method for automatically evaluating PCT images. The use of CNN-based automatic scoring of PCT can potentially reduce the burden on assessors in screening for dementia.

Prolonged extrapyramidal symptoms induced by long-term, intermittent administration of low-dose olanzapine along with metoclopramide for emesis: A case report.

BACKGROUND: Antipsychotics with dopamine (D2) receptor antagonism can be effective for emesis in cancer patients. Extrapyramidal symptoms (EPS) induced by typical antipsychotics can be exacerbated by other D2 receptor antagonists. We describe a case of persistent EPS induced by long-term, intermittent administration of low-dose olanzapine along with metoclopramide for emesis. CASE PRESENTATION: A 59-year-old pancreatic cancer patient underwent chemotherapy for 7 months. He was referred to the psychiatry department because of restlessness and insomnia. Although he did not have obvious depressive symptoms, he was anxious about the cancer treatment. For chemotherapy-induced nausea, he had been prescribed 5 mg of olanzapine intermittently for 7 months. He had last used the drug 9 days before presenting it to us. Additionally, he received metoclopramide and palonosetron as antiemetics. We considered akathisia and cancer-related anxiety/agitation as possible causes of restlessness and insomnia, and prescribed clonazepam. However, his symptoms worsened, resulting in hospitalization. We reconsidered his symptoms as cancer-related anxiety/agitation and prescribed quetiapine. Although it was effective, he had tremors and was assessed by a neurologist. Considering the clinical manifestations of rigidity, postural reflex disorder, and a mask-like face, we suspected drug-induced parkinsonism and replaced quetiapine with biperiden on the next day, leading to his discharge after 2 weeks. He did not have symptom recurrence even after discontinuation of biperiden. CONCLUSIONS: Long-term, intermittent administration of low-dose antipsychotics with other antiemetics having D2 receptor antagonism can cause prolonged EPS. Especially in cancer patients, who often require polypharmacy, clinicians should consider exacerbated adverse effects due to drug interactions.

Associations Between Chronic Irritability and Sensory Processing Difficulties in Children and Adolescents.

Irritability is one of the most common reasons for which children and adolescents are referred for psychiatric evaluation and care. However, clinical irritability is difficult to define; thus, its prevalence varies widely. Chronic irritability may be associated with sensory processing difficulties (SPD), but little is known about the relationship between these two factors in clinical populations. In this study, we examined the prevalence of chronic irritability and its association with SPD in 166 children aged 5-16 years who were referred to the psychiatric outpatient clinic of the Osaka City University Hospital. Chronic irritability and parent-reported scores for the Short Sensory Profile, Infant Behavior Checklist-Revised, Child Behavior Checklist, and Kiddie Schedule for Affective Disorders and Schizophrenia for School-Age Children (Present and Lifetime version) questionnaires were used for assessment. A total of 22 children (13.2%) presented with chronic irritability (i.e., the irritability group) and were more likely to have oppositional defiant disorder, externalizing problems, and attention issues than those without chronic irritability (i.e., the control group). SPD were reported in eight (36%) patients in the irritability group and in 21 (15%) in the control group (p = 0.029). Moreover, compared to the control group, the irritability group showed a significant difference in almost all items of the Short Sensory Profile. Chronic irritability was associated with more severe overall SPD, even after adjusting for possible confounding factors (internalizing and externalizing problems, age, sex, and low income). We provide evidence to support our hypothesis that chronic irritability is associated with SPD in children and adolescents. Therefore, SPD should be assessed to provide appropriate interventions in children and adolescents with chronic irritability.

Wrinkle force microscopy: a machine learning based approach to predict cell mechanics from images.

Combining experiments with artificial intelligence algorithms, we propose a machine learning based approach called wrinkle force microscopy (WFM) to extract the cellular force distributions from the microscope images. The full process can be divided into three steps. First, we culture the cells on a special substrate allowing to measure both the cellular traction force on the substrate and the corresponding substrate wrinkles simultaneously. The cellular forces are obtained using the traction force microscopy (TFM), at the same time that cell-generated contractile forces wrinkle their underlying substrate. Second, the wrinkle positions are extracted from the microscope images. Third, we train the machine learning system with GAN (generative adversarial network) by using sets of corresponding two images, the traction field and the input images (raw microscope images or extracted wrinkle images), as the training data. The network understands the way to convert the input images of the substrate wrinkles to the traction distribution from the training. After sufficient training, the network is utilized to predict the cellular forces just from the input images. Our system provides a powerful tool to evaluate the cellular forces efficiently because the forces can be predicted just by observing the cells under the microscope, which is much simpler method compared to the TFM experiment. Additionally, the machine learning based approach presented here has the profound potential for being applied to diverse cellular assays for studying mechanobiology of cells.

Relationships between Occupational Stress, Change in Work Environment during the COVID-19 Pandemic, and Depressive and Anxiety Symptoms among Non-Healthcare Workers in Japan: A Cross-Sectional Study.

This study aims to clarify the effect of occupational stress and changes in the work environment on non-healthcare workers' (HCWs) mental health during the third wave of the COVID-19 pandemic in Japan. A web-based, cross-sectional survey was conducted from 16 to 17 December 2020. Data from 807 non-HCWs were included. We evaluated occupational stress using the Generic Job Stress Questionnaire (GJSQ). Depressive and anxiety symptoms were assessed using the Japanese version of the Patient Health Questionnaire-9 and the Generalized Anxiety Disorder 7-item scale, respectively. We collected demographic variables, work-related variables, and the variables associated with COVID-19. The adjusted odds ratios for depressive and anxiety groups were estimated using multivariate logistic regression analyses, adjusted for all the demographic variables, work-related variables, COVID-19-related variables, and the six subdivided GJSQ subscales. The results confirm a relationship between variance in workload, job future ambiguity, social support from coworkers, having contact with COVID-19 patients, and depressive and anxiety symptoms. Paying attention to job future ambiguity, the variance in workload at the workplace and individual perspectives, promoting contact and support among coworkers using online communication tools, and reducing contact with COVID-19 patients, will be useful for decreasing the depressive and anxiety symptoms among non-HCWs.

Intra-individual state-dependent comparison of plasma mitochondrial DNA copy number and IL-6 levels in patients with bipolar disorder.

BACKGROUND: Patients with bipolar disorder (BD) have increased plasma IL-6 levels, which are higher in depressed BD (dBD) than remitted BD (rBD). However, the mechanism that differentiates the cytokine levels between dBD and rBD is not understood. First, we determined whether brain-derived mtDNA can be detected in plasma using neuron-specific mutant Polg1 transgenic (Tg) mice. Second, we investigated whether the plasma circulating cell-free mitochondrial DNA (ccf-mtDNA) differentiate the cytokine levels between dBD and rBD. METHODS: Mouse plasma ccf-mtDNA levels were measured using real-time PCR targeting two regions of the mtDNA (CO1 and d-loop) in Tg mice and non-Tg littermates. Human plasma ccf-mtDNA levels were measured using real-time PCR targeting two regions of the mtDNA (ND1 and ND4) and IL-6 levels were evaluated in 10 patients in different states (depressed and remitted) of BD in a longitudinal manner and 10 healthy controls. RESULTS: The mouse plasma CO1/D-loop ratio was significantly lower in Tg than non-Tg mice (P = 0.0029). Human plasma ccf-mtDNA copy number, ND4/ND1 ratio, and IL-6 levels were not significantly different between dBD and rBD. Human plasma ccf-mtDNA levels showed a nominal significant correlation with delusional symptoms (P = 0.033, ρ = 0.68). LIMITATIONS: A larger sample size is required to generalize the results and to determine whether plasma ccf-mtDNA is associated with systemic inflammation. CONCLUSIONS: Tg mice revealed that brain-derived mtDNA could be present in peripheral blood. The present findings did not coincide with our hypothesis that plasma ccf-mtDNA differentiates the cytokine levels between dBD and rBD.

Surfaces With Finger-Sized Concave Feel Softer.

The judgment of elastic softness is determined not only by mechanical parameters related to hardness, such as the elastic modulus and stiffness, but also by macroscopic surface features. This study experimentally demonstrates that objects with a finger-sized concave with a depth of 1-3 mm feel softer than flat surfaces made of the same materials when they are pushed by a finger. In Experiment 1, participants judged the surfaces of a rigid material with thumb-sized concaves to be softer than the flat and convex surfaces. Experiment 2 used rubbers of various elastic moduli, and the softness of a concave object with a Young's modulus of 0.55 MPa was subjectively equal to that of a flat object with an average Young's modulus of 0.23 MPa. Furthermore, the softness of a convex object was subjectively equal to that of a 1.68 MPa flat object. The contact phenomena between a finger pad and concave or convex objects are different from those between a finger pad and flat objects, and they influence the softness judgment. Such phenomena include the relationship between the pressing force and contact area. These results provide insights into surface design and improve comprehension of the perceptual principles of softness.

Relationship between initial self-perceived depressive symptoms and disease severity in working patients with first-onset major depressive disorder.

The severity of major depressive disorder (MDD), which is related to the depressive symptoms, is a predictor of clinical outcomes and may be used to determine the appropriate treatment. However, there is a lack of systematic research on the relationship between early depressive symptoms and MDD severity. This study aimed to clarify the association between initial depressive symptoms and MDD severity in working patients. We assessed 118 patients aged over 20 years who visited the Neuropsychiatry Department of the Osaka City University Hospital following their first episode of MDD. Logistic regression analyses were performed to estimate the odds ratios (OR) with 95% confidence intervals (CI) for the associations between age, gender, marital status, working hours, and initial self-perceived depressive symptoms and MDD severity. Age and working hours were analyzed as continuous variables, and gender (man, woman), marital status (married, single) and severity (mild to moderate MDD, severe to very severe MDD) were analyzed as categorical variables. The most common initial self-perceived symptom was "depressed mood," followed by "fatigue or loss of energy nearly every day." The univariate analysis found no association between age, gender, marital status, or working hours and MDD severity. Initial self-perceived non-somatic symptoms were associated with increased odds of having severe MDD (odds ratio = 3.32, 95% confidence interval 1.46-7.58), and this association persisted in the adjusted model (odds ratio = 3.35, 95% confidence interval 1.47-7.60). Initial self-perceived non-somatic depressive symptoms are significantly associated with MDD severity at its first onset. Workplace support may lead to the early detection and treatment of working patients with non-somatic symptoms.