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Yoshimura S, Tseng ZH, Yamada T, Nakao S, Yoshiya K, Park C, Nishimura T, Ishibe T, Yamakawa K, Kiguchi T, Kishimoto M, Ninomiya K, Ito Y, Sogabe T, Morooka T, Sakamoto H, Hironaka Y, Onoe A, Matsuyama T, Okada Y, Matsui S, Nishioka N, Kimata S, Kawai S, Makino Y, Zha L, Kiyohara K, Kitamura T, Iwami T. Underlying Cause of Out-of-Hospital Cardiac Arrests in Japan in Survivors Versus Nonsurvivors. J Am Heart Assoc 2025:e036968. [PMID: 40240947 DOI: 10.1161/jaha.124.036968] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/04/2024] [Accepted: 01/15/2025] [Indexed: 04/18/2025]
Abstract
BACKGROUND The causes underlying out-of-hospital cardiac arrest (OHCA) are rarely investigated. This study aimed to investigate causes of OHCA in CRITICAL (Comprehensive Registry of In-Hospital Intensive Care for OHCA Survival), a multicenter OHCA registry in Osaka, Japan. METHODS Nontraumatic patients with OHCA (by CARES [Cardiac Arrest Registry to Enhance Survival] criteria) aged 18 to 90 years between July 1, 2012 and December 31, 2020 were included. By Japanese law, all patients with OHCA (resuscitated or not) must be transported to the emergency department where death is declared if resuscitation is unsuccessful; this latter group was considered presumed sudden cardiac deaths whereas those surviving to hospitalization were considered resuscitated OHCA. We compared underlying causes of OHCA in presumed sudden cardiac deaths, survivors of OHCA (alive 30 days after the event), and nonsurvivors of OHCA (died during hospitalization). Causes were confirmed when autopsy or postresuscitation hospital workup was performed and probable when determined by attending physician impression (partial workup). RESULTS Of 12 252 total OHCAs, 8005 (65.3%) were. presumed sudden cardiac deaths, 4247 (34.7%) were resuscitated, and 1293 (10.6%) were survivors. Resuscitated OHCA cardiac causes comprised 73.2% (n=3110) and noncardiac causes 26.8% (n=1137). Cardiac cause, most commonly acute coronary syndrome, was more prevalent in survivors of OHCA than nonsurvivors (85.7% [n=1137] versus 67.8% [n=2002]; P<0.001). Although 40.4% of the survived at 30 days cases were acute coronary syndrome, cerebrovascular disease accounted for 9.8% of nonsurvivors of OHCA and nearly one fifth (n=144, 17.8%) of middle-aged cases. CONCLUSIONS Cardiac cause was more common in survivors than cases dying in the emergency room (sudden deaths) or in hospital after initial resuscitation (nonsurvivors of OHCA). Causes in nonsurvivors of OHCA who died in hospital were more heterogeneous than those of survivors of OHCA, especially cerebrovascular emergencies.
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Affiliation(s)
- Satoshi Yoshimura
- Department of Preventive Services Kyoto University School of Public Health Kyoto Japan
| | - Zian H Tseng
- Section of Cardiac Electrophysiology, Division of Cardiology, Department of Medicine University of California-San Francisco San Francisco CA USA
| | - Tomoki Yamada
- Emergency and Critical Care Medical Center Osaka Keisatsu Hospital Osaka Japan
| | - Shunichiro Nakao
- Department of Traumatology and Acute Critical Medicine Osaka University Graduate School of Medicine Suita Japan
| | - Kazuhisa Yoshiya
- Department of Emergency and Critical Care Medicine Kansai Medical University, Takii Hospital Moriguchi Japan
| | - Changhwi Park
- Department of Emergency Medicine Tane General Hospital Osaka Japan
| | - Tetsuro Nishimura
- Department of Critical Care Medicine Osaka City University Osaka Japan
| | - Takuya Ishibe
- Department of Emergency and Critical Care Medicine Kindai University School of Medicine Osaka-Sayama Japan
| | - Kazuma Yamakawa
- Department of Emergency and Critical Care Medicine Osaka Medical and Pharmaceutical University Takatsuki Japan
| | - Takeyuki Kiguchi
- Critical Care and Trauma Center Osaka General Medical Center Osaka Japan
| | - Masafumi Kishimoto
- Osaka Prefectural Nakakawachi Medical Center of Acute Medicine Higashi-Osaka Japan
| | | | - Yusuke Ito
- Senri Critical Care Medical Center Saiseikai Senri Hospital Suita Japan
| | - Taku Sogabe
- Traumatology and Critical Care Medical Center National Hospital Organization Osaka National Hospital Osaka Japan
| | - Takaya Morooka
- Emergency and Critical Care Medical Center Osaka City General Hospital Osaka Japan
| | - Haruko Sakamoto
- Department of Pediatrics Osaka Red Cross Hospital Osaka Japan
| | - Yuki Hironaka
- Emergency and Critical Care Medical Center Kishiwada Tokushukai Hospital Osaka Japan
| | - Atsunori Onoe
- Department of Emergency and Critical Care Medicine Kansai Medical University Hirakata Osaka Japan
| | - Tasuku Matsuyama
- Department of Emergency Medicine Kyoto Prefectural University of Medicine Kyoto Japan
| | - Yohei Okada
- Department of Preventive Services Kyoto University School of Public Health Kyoto Japan
| | - Satoshi Matsui
- Division of Emergency Medicine Hyogo Prefectural Kobe Children's Hospital Kobe Japan
| | - Norihiro Nishioka
- Department of Preventive Services Kyoto University School of Public Health Kyoto Japan
| | - Shunsuke Kimata
- Department of Preventive Services Kyoto University School of Public Health Kyoto Japan
| | - Shunsuke Kawai
- Department of Preventive Services Kyoto University School of Public Health Kyoto Japan
| | - Yuto Makino
- Department of Preventive Services Kyoto University School of Public Health Kyoto Japan
| | - Ling Zha
- Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine Osaka University Osaka Japan
| | - Kosuke Kiyohara
- Department of Food Science Otsuma Women's University Tokyo Japan
| | - Tetsuhisa Kitamura
- Division of Environmental Medicine and Population Sciences, Department of Social and Environmental Medicine, Graduate School of Medicine Osaka University Osaka Japan
| | - Taku Iwami
- Department of Preventive Services Kyoto University School of Public Health Kyoto Japan
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Yamanishi Y, Kotani Y, Kido A, Otani T, Himoto Y, Kurata Y, Murakami K, Takaya H, Sumitomo M, Emoto I, Matsubara M, Horikawa N, Akagi K, Ishida K, Takaori A, Sakurai A, Abiko K, Yamanoi K, Mandai M, Matsumura N. Differentiation of uterine fibroids and sarcomas by MRI and serum LDH levels: a multicenter study of the KAMOGAWA study. J Gynecol Oncol 2025; 36:36.e58. [PMID: 40223553 DOI: 10.3802/jgo.2025.36.e58] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 11/01/2024] [Accepted: 11/25/2024] [Indexed: 04/15/2025] Open
Abstract
OBJECTIVE In the differential diagnosis between uterine fibroids and uterine sarcomas, real-world magnetic resonance imaging (MRI) diagnostic information is scarce; furthermore, high diagnostic sensitivity is important in clinical practice. We previously developed a diagnostic algorithm to detect uterine sarcoma with high sensitivity using simple MRI images and serum lactate dehydrogenase (LDH) levels. In this multicenter study, we investigated the preoperative diagnosis of sarcoma in the real world and further validated the usefulness of our diagnostic algorithm. METHODS Of 154 uterine sarcomas and 154 uterine fibroids treated at 15 centers between January 2006 and December 2020, 139 sarcomas (16 smooth muscle tumors of uncertain malignant potential) and 141 fibroids with diffusion-weighted imaging information were included in the analysis. The diagnostic algorithm was validated by 3 radiologists who were blinded to the clinical information and pathologic diagnoses and who read the MRIs. RESULTS The sensitivity/specificity of preoperative diagnosis was 77.7%/92.9% for the preoperative report; 92.1%/72.3% for algorithm A; and 82.0%/85.8% for algorithm B (McNemar's test p<0.05). Comparison of overall survival rates among 3 groups (Group 1: negative A, Group 2: positive A and negative B; Group 3: positive B) using algorithms A and B showed p=0.012. On multivariate analysis, stage, and serum LDH level were independent prognostic factors. CONCLUSION MRI is useful for preoperative diagnosis of uterine sarcoma, and the sarcoma diagnostic algorithm presented in this study is an option for diagnosing sarcoma with greater sensitivity. This information should be shared with patients.
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Affiliation(s)
- Yukio Yamanishi
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
| | - Yasushi Kotani
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan.
| | - Aki Kido
- Department of Radiology, University of Toyama, Toyama, Japan
| | - Tomoyuki Otani
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
| | - Yuki Himoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan
| | - Yasuhisa Kurata
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto, Japan
| | - Kosuke Murakami
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
| | - Hisamitsu Takaya
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
| | - Masahiro Sumitomo
- Department of Obstetrics and Gynecology, Tenri Hospital, Tenri, Japan
| | - Ikuko Emoto
- Department of Obstetrics and Gynecology, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Motonori Matsubara
- Department of Obstetrics and Gynecology, Toyooka Public Hospital, Toyooka, Japan
| | - Naoki Horikawa
- Department of Obstetrics and Gynecology, Kurashiki Central Hospital, Okayama, Japan
| | - Kana Akagi
- Department of Obstetrics and Gynecology, National Hospital Organization Osaka National Hospital, Osaka, Japan
| | - Kentaro Ishida
- Department of Obstetrics and Gynecology, Japanese Red Cross Otsu Hospital, Otsu, Japan
| | - Aya Takaori
- Department of Obstetrics and Gynecology, Kitano Hospital, Osaka, Japan
| | - Azusa Sakurai
- Department of Obstetrics and Gynecology, Shiga General Hospital, Moriyama, Japan
| | - Kaoru Abiko
- Department of Obstetrics and Gynecology, National Hospital Organization Kyoto Medical Center, Kyoto, Japan
| | - Koji Yamanoi
- Department of Gynecology and Obstetrics, Kyoto University, Kyoto, Japan
| | - Masaki Mandai
- Department of Gynecology and Obstetrics, Kyoto University, Kyoto, Japan
| | - Noriomi Matsumura
- Department of Obstetrics and Gynecology, Kindai University Faculty of Medicine, Osaka-Sayama, Japan
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Ganjitsuda K. Effect of practical training on radiography students' CT exposure knowledge: A study in Japan. Radiography (Lond) 2025; 31:102897. [PMID: 39938437 DOI: 10.1016/j.radi.2025.102897] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2024] [Revised: 01/19/2025] [Accepted: 02/03/2025] [Indexed: 02/14/2025]
Abstract
INTRODUCTION Optimizing computed tomography (CT) parameters is crucial to minimize patient dose while maintaining diagnostic image quality. This study investigated the impact of practical education, specifically hands-on experience and clinical placements, on radiography students' knowledge of CT exposure parameters in Japan. METHODS In 2023, a cross-sectional study was conducted among third- and fourth-year Kagoshima Medical Technology College radiography students. A validated 21-item questionnaire assessed their knowledge of CT exposure parameters, including tube voltage (kVp), milliampere-seconds (mAs), and pitch. Independent-sample t-tests were used to compare the mean knowledge scores between student groups. RESULTS A total of 126 students participated. Fourth-year students (n = 60) demonstrated significantly higher knowledge of CT parameters than third-year students (n = 66) (t = -5.853, df = 121.279, p < 0.001). Among third-year students, females (n = 24) outperformed males (n = 42) on the knowledge questionnaire (t = -2.435, df = 54.992, p = 0.018). No significant gender-based differences were found in the fourth-year students' knowledge scores (t = 0.199, df = 51.199, p = 0.843). Additionally, no significant difference was observed between fourth-year students who participated in observation- and clerkship-based clinical training (t = 0.042, df = 49.298, p = 0.967). CONCLUSION Practical education, including clinical placements and on-campus hands-on training, significantly improved radiography students' knowledge of CT exposure parameters. Incorporating practical training early in the curriculum and addressing gender-based differences in learning styles may be crucial for optimizing CT education and promoting radiation safety. Further research is warranted to explore how specific clinical activities and student participation during clinical placements influence knowledge acquisition. IMPLICATIONS FOR PRACTICE Early integration of hands-on training and attention to learning styles can enhance radiography education, improving safety and competence in CT parameter management.
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Affiliation(s)
- K Ganjitsuda
- Kagoshima Medical Technology College, 5417-1, Utoguchi, Aza, Hirakawa, Kagoshima, 891-0133, Japan.
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Aoyama T, Koide Y, Shimizu H, Urikura A, Kitagawa T, Hashimoto S, Tachibana H, Kodaira T. A cross-national investigation of CT, MRI, PET, mammography, and radiation therapy resources and utilization. Jpn J Radiol 2025; 43:109-116. [PMID: 39240460 DOI: 10.1007/s11604-024-01650-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/28/2024] [Accepted: 08/27/2024] [Indexed: 09/07/2024]
Abstract
PURPOSE This study aimed to analyze the domestic and international landscape of imaging diagnostics and treatments, focusing on Japan, to provide current insights for policymaking, clinical practice enhancement, and international collaboration. METHODS Data from 1996 to 2021 were collected from Japan's Ministry of Health, Labor and Welfare database for medical device counts of CT, MRI, PET, mammography, and radiotherapy. The National Database of Health Insurance Claims and Specific Health Checkups of Japan was utilized for examination numbers. An international comparison was made with data from 41 countries using the Organization for Economic Cooperation and Development (OECD) database. RESULTS The data included a total of 108,596 CT devices, 47,233 MRI devices, 2998 PET devices, 20,641 MMG devices, and 8023 RT devices during the survey period. Upon international comparison, Japan ranked first in CT and MRI devices per million people and second in examination numbers per 1000 people. The number of PET devices per million people exceeded OECD averages; however, the number of examinations per 1000 people was below the OECD average in 2020 (Japan: 4.0, OECD: 4.9). Although Japan exceeded OECD averages in mammography device counts (Japan: 33.8, OECD: 24.5 in 2020), radiotherapy device counts were similar to OECD averages (Japan: 8.3, OECD: 7.9 in 2020). CONCLUSION We have analyzed the utilization of equipment in the context of diagnostic imaging and radiotherapy in Japan. Since the initial survey year, all devices have shown an upward trend. However, it is essential not only to increase the number of devices and examinations but also to address the chronic shortage of radiologists and allied health professionals. Based on the insights gained from this study, understanding the actual status of diagnostic imaging and radiation therapy equipment is critical for grasping the domestic situation and may contribute to improving the quality of healthcare in Japan.
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Affiliation(s)
- Takahiro Aoyama
- Department of Radiation Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan.
| | - Yutaro Koide
- Department of Radiation Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Hidetoshi Shimizu
- Department of Radiation Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Atsushi Urikura
- Department of Radiological Technology, Radiological Diagnosis, National Cancer Center Hospital, 5-1-1 Tsukiji, Chuo-ku, Tokyo, 104-0045, Japan
| | - Tomoki Kitagawa
- Department of Radiation Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Shingo Hashimoto
- Department of Radiation Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Hiroyuki Tachibana
- Department of Radiation Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
| | - Takeshi Kodaira
- Department of Radiation Oncology, Aichi Cancer Center, 1-1 Kanokoden, Chikusa-ku, Nagoya, Aichi, 464-8681, Japan
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Watanabe H, Ezawa Y, Matsuyama E, Kondo Y, Hayashi N, Maruyama S, Ogura T, Shimosegawa M. Auto-evaluation of skull radiograph accuracy using unsupervised anomaly detection. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2024; 32:1151-1162. [PMID: 38943422 DOI: 10.3233/xst-230431] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 07/01/2024]
Abstract
BACKGROUND Radiography plays an important role in medical care, and accurate positioning is essential for providing optimal quality images. Radiographs with insufficient diagnostic value are rejected, and retakes are required. However, determining the suitability of retaking radiographs is a qualitative evaluation. OBJECTIVE To evaluate skull radiograph accuracy automatically using an unsupervised learning-based autoencoder (AE) and a variational autoencoder (VAE). In this study, we eliminated visual qualitative evaluation and used unsupervised learning to identify skull radiography retakes from the quantitative evaluation. METHODS Five skull phantoms were imaged on radiographs, and 1,680 images were acquired. These images correspond to two categories: normal images captured at appropriate positions and images captured at inappropriate positions. This study verified the discriminatory ability of skull radiographs using anomaly detection methods. RESULTS The areas under the curves for AE and VAE were 0.7060 and 0.6707, respectively, in receiver operating characteristic analysis. Our proposed method showed a higher discrimination ability than those of previous studies which had an accuracy of 52%. CONCLUSIONS Our findings suggest that the proposed method has high classification accuracy in determining the suitability of retaking skull radiographs. Automation of optimal image consideration, whether or not to retake radiographs, contributes to improving operational efficiency in busy X-ray imaging operations.
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Affiliation(s)
- Haruyuki Watanabe
- School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
| | - Yuina Ezawa
- School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
| | - Eri Matsuyama
- Faculty of Informatics, The University of Fukuchiyama, Fukuchiyama, Japan
| | - Yohan Kondo
- Graduate School of Health Sciences, Niigata University, Niigata, Japan
| | - Norio Hayashi
- School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
| | - Sho Maruyama
- School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
| | - Toshihiro Ogura
- School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
| | - Masayuki Shimosegawa
- School of Radiological Technology, Gunma Prefectural College of Health Sciences, Maebashi, Japan
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Hashimoto C, Shigeta S, Shimada M, Shibuya Y, Ishibashi M, Kageyama S, Sato T, Tokunaga H, Takase K, Yaegashi N. Diagnostic Performance of Preoperative Imaging in Endometrial Cancer. Curr Oncol 2023; 30:8233-8244. [PMID: 37754512 PMCID: PMC10527880 DOI: 10.3390/curroncol30090597] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 08/26/2023] [Accepted: 09/05/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND Endometrial cancer is one of the most common gynecological malignancies. Because the findings mentioned in radiogram interpretation reports issued by diagnostic radiologists influence treatment strategies, we aimed to evaluate the diagnostic accuracy of preoperative computed tomography (CT) and magnetic resonance imaging (MRI) interpretation results in clinically relevant settings. METHODS The clinical records of patients diagnosed with endometrial cancer treated at Tohoku University Hospital from January 2012 to December 2021 were reviewed. The preoperative and pathologically estimated cancer stages were compared based on the results mentioned in the radiogram interpretation report. RESULTS The preoperative and postoperative cancer stages were concordant in 70.0% of the patients. By contrast, the cancer stage was underdiagnosed and overdiagnosed in 21.7% and 8.2% of the patients, respectively. The sensitivities of MRI for deep myometrial invasion, cervical stromal invasion, vaginal invasion, and adnexal metastasis were 65.1%, 58.2%, 33.3%, and 18.4%, respectively. The sensitivity and specificity for pelvic lymph node metastasis using a combination of CT and MRI were 40.9% and 98.4%, respectively. Those for para-aortic lymph node metastases using CT were 37.0% and 99.5%, respectively. CONCLUSIONS The low sensitivity observed in this study clarified the limitations of preoperative diagnostic performance in current clinical practice.
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Affiliation(s)
- Chiaki Hashimoto
- Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (C.H.)
| | - Shogo Shigeta
- Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (C.H.)
| | - Muneaki Shimada
- Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (C.H.)
- Advanced Research Center for Innovations in Next-Generation Medicine, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan
- Tohoku Medical Megabank Organization, Tohoku University, 2-1 Seiryo-machi, Aoba-ku, Sendai 980-8573, Japan
| | - Yusuke Shibuya
- Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (C.H.)
| | - Masumi Ishibashi
- Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (C.H.)
| | - Sakiko Kageyama
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan
| | - Tomomi Sato
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan
| | - Hideki Tokunaga
- Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (C.H.)
| | - Kei Takase
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan
| | - Nobuo Yaegashi
- Department of Obstetrics and Gynecology, Tohoku University School of Medicine, 1-1 Seiryo-machi, Aoba-ku, Sendai 980-8574, Japan; (C.H.)
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Fujioka M, Hara S, Mukawa M, Karakama J, Inaji M, Tanaka Y, Nariai T, Maehara T. Changes in the clinical spectrum of pediatric moyamoya disease over 40 years. Childs Nerv Syst 2023; 39:1215-1223. [PMID: 36790492 DOI: 10.1007/s00381-023-05852-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 01/14/2023] [Indexed: 02/16/2023]
Abstract
OBJECTIVE To investigate the chronological changes in the clinical presentation and long-term prognosis of pediatric-onset moyamoya disease in our institute over 40 years. METHODS We evaluated 282 pediatric-onset (≤ 15 years old) moyamoya disease patients who visited our institute from 1981 to 2020 (divided into the former period, 1981-2000, and the latter period, 2001-2020). Differences in the clinical presentation and the long-term outcome were compared between the periods. Multivariate analysis was also performed to reveal the risk factors for poor long-term outcomes. RESULTS Compared to the former period, the total number of patients, the onset age and both the number of patients with family history and relatively older patients without symptoms or with headache were greater in the latter period (p < 0.05). The number of patients with poor long-term outcomes was significantly lower in the latter period (24.9% vs. 6.7%, p < 0.01). Multivariate analysis revealed that stroke onset, late cerebrovascular events and postoperative complications were independent risk factors for poor long-term outcomes (odds ratio = 31.4, 40.8 and 5.4, respectively). CONCLUSIONS Over the last 40 years, the number of pediatric moyamoya disease patients has increased, especially in relatively older patients with mild presentation and favorable long-term outcomes. In clinical studies, these chronological changes and the inclusion period of the participants need to be accounted for. Whether the increased diagnostic rate in the recent era has led to a decrease in late cerebrovascular events and favorable outcomes throughout life remains unknown and should be evaluated in the future.
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Affiliation(s)
- Mai Fujioka
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shoko Hara
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan.
| | - Maki Mukawa
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Jun Karakama
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Motoki Inaji
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Yoji Tanaka
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Tadashi Nariai
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Taketoshi Maehara
- Department of Neurosurgery, Tokyo Medical and Dental University, Tokyo, Japan
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Suzuki A, Kido A, Matsuki M, Kotani Y, Murakami K, Yamanishi Y, Numoto I, Nakai H, Otani T, Konishi I, Mandai M, Matsumura N. Development of an Algorithm to Differentiate Uterine Sarcoma from Fibroids Using MRI and LDH Levels. Diagnostics (Basel) 2023; 13:diagnostics13081404. [PMID: 37189505 DOI: 10.3390/diagnostics13081404] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/23/2023] [Revised: 04/10/2023] [Accepted: 04/10/2023] [Indexed: 05/17/2023] Open
Abstract
BACKGROUND This study aimed to establish an evaluation method for detecting uterine sarcoma with 100% sensitivity using MRI and serum LDH levels. METHODS One evaluator reviewed the MRI images and LDH values of a total of 1801 cases, including 36 cases of uterine sarcoma and 1765 cases of uterine fibroids. The reproducibility of the algorithm was also examined by four evaluators with different imaging experience and abilities, using a test set of 61 cases, including 14 cases of uterine sarcoma. RESULTS From the MRI images and LDH values of 1801 cases of uterine sarcoma and uterine fibroids, we found that all sarcomas were included in the group with a high T2WI and either a high T1WI, an unclear margin, or high LDH values. In addition, when cases with DWI were examined, all sarcomas had high DWI. Among the 36 sarcoma cases, the group with positive findings for T2WI, T1WI, margins, and serum LDH levels all had a poor prognosis (p = 0.015). The reproducibility of the algorithm was examined by four evaluators and the sensitivity of sarcoma detection ranged from 71% to 93%. CONCLUSION We established an algorithm to distinguish uterine sarcoma if tumors in the myometrium with low T2WI and DWI are present.
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Affiliation(s)
- Ayako Suzuki
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
| | - Aki Kido
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University, Kyoto 606-8507, Japan
| | - Mitsuru Matsuki
- Department of Radiology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
| | - Yasushi Kotani
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
| | - Kosuke Murakami
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
| | - Yukio Yamanishi
- Department of Obstetrics and Gynecology, Japanese Red Cross Wakayama Medical Center, Wakayama 640-8558, Japan
| | - Isao Numoto
- Department of Radiology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
| | - Hidekatsu Nakai
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
| | - Tomoyuki Otani
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
| | - Ikuo Konishi
- Department of Gynecology and Obstetrics, Kyoto University, Kyoto 606-8507, Japan
| | - Masaki Mandai
- Department of Gynecology and Obstetrics, Kyoto University, Kyoto 606-8507, Japan
| | - Noriomi Matsumura
- Department of Obstetrics and Gynecology, Faculty of Medicine, Kindai University, Osakasayama 589-8511, Japan
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9
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Yamazaki H, Tauchi S, Machann J, Haueise T, Yamamoto Y, Dohke M, Hanawa N, Kodama Y, Katanuma A, Stefan N, Fritsche A, Birkenfeld AL, Wagner R, Heni M. Fat Distribution Patterns and Future Type 2 Diabetes. Diabetes 2022; 71:1937-1945. [PMID: 35724270 DOI: 10.2337/db22-0315] [Citation(s) in RCA: 26] [Impact Index Per Article: 8.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2022] [Accepted: 06/08/2022] [Indexed: 11/13/2022]
Abstract
Fat accumulation in the liver, pancreas, skeletal muscle, and visceral bed relates to type 2 diabetes (T2D). However, the distribution of fat among these compartments is heterogenous and whether specific distribution patterns indicate high T2D risk is unclear. We therefore investigated fat distribution patterns and their link to future T2D. From 2,168 individuals without diabetes who underwent computed tomography in Japan, this case-cohort study included 658 randomly selected individuals and 146 incident cases of T2D over 6 years of follow-up. Using data-driven analysis (k-means) based on fat content in the liver, pancreas, muscle, and visceral bed, we identified four fat distribution clusters: hepatic steatosis, pancreatic steatosis, trunk myosteatosis, and steatopenia. In comparisons with the steatopenia cluster, the adjusted hazard ratios for incident T2D were 4.02 (95% CI 2.27-7.12) for the hepatic steatosis cluster, 3.38 (1.65-6.91) for the pancreatic steatosis cluster, and 1.95 (1.07-3.54) for the trunk myosteatosis cluster. The clusters were replicated in 319 German individuals without diabetes who underwent MRI and metabolic phenotyping. The distribution of the glucose area under the curve across the four clusters found in Germany was similar to the distribution of T2D risk across the four clusters in Japan. Insulin sensitivity and insulin secretion differed across the four clusters. Thus, we identified patterns of fat distribution with different T2D risks presumably due to differences in insulin sensitivity and insulin secretion.
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Affiliation(s)
- Hajime Yamazaki
- Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinichi Tauchi
- Department of Radiology, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Jürgen Machann
- Section on Experimental Radiology, Department of Radiology, Eberhard-Karls University, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
| | - Tobias Haueise
- Section on Experimental Radiology, Department of Radiology, Eberhard-Karls University, Tübingen, Germany
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
| | - Yosuke Yamamoto
- Department of Healthcare Epidemiology, School of Public Health, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Mitsuru Dohke
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Nagisa Hanawa
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Yoshihisa Kodama
- Department of Radiology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Akio Katanuma
- Center for Gastroenterology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Norbert Stefan
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
| | - Andreas Fritsche
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
| | - Andreas L Birkenfeld
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
| | - Róbert Wagner
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
- German Diabetes Center (DDZ), Leibniz Center for Diabetes Research, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
- Department of Endocrinology and Diabetology, University Hospital Düsseldorf, Heinrich-Heine-University Düsseldorf, Düsseldorf, Germany
| | - Martin Heni
- German Center for Diabetes Research (DZD), Neuherberg, Germany
- Institute for Diabetes Research and Metabolic Diseases, Helmholtz Center Munich, University of Tübingen, Tübingen, Germany
- Division of Diabetology, Endocrinology and Nephrology, Department of Internal Medicine, Eberhard-Karls University, Tübingen, Germany
- Department for Diagnostic Laboratory Medicine, Institute for Clinical Chemistry and Pathobiochemistry, University Hospital Tübingen, Tübingen, Germany
- Department of Internal Medicine I, University of Ulm, Ulm, Germany
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10
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Roles of radiological technologists at Tsukuba Medical Examiner's Office equipped with a computed tomography system dedicated for the examination of corpses. FORENSIC IMAGING 2022. [DOI: 10.1016/j.fri.2022.200508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
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11
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Cappabianca P, Russo GM, Atripaldi U, Gallo L, Rocco MP, Pasceri G, Karaboue MAA, Angioi S, Cappabianca S, Reginelli A. Universal Access to Advanced Imaging and Healthcare Protection: UHC and Diagnostic Imaging. Med Sci (Basel) 2021; 9:medsci9040061. [PMID: 34698209 PMCID: PMC8544360 DOI: 10.3390/medsci9040061] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/22/2021] [Revised: 09/16/2021] [Accepted: 09/18/2021] [Indexed: 11/18/2022] Open
Abstract
Universal Health Coverage (UHC) is a set of principles adopted by the World Health Organization (WHO) aimed to guarantee access to primary care for the entire world population through a range of essential health services without neglecting the diagnostic aspect. Italy is one of the signatory states, which means that diagnostic services should be appropriated and exigible throughout the national territory equally. Our research analyzed and identified the main criticalities in terms of age, territorial distribution, and technological and health appropriateness of installed Computed Tomography (CT) needed to meet the principles of UHC. Data analyzed in our study were published by Assobiomedica at the end of 2016 and by COCIR, which included and investigated the installed fleet of diagnostic equipment in the Italian sanitary system and in various European countries. The 6th point of the Alma Ata Declaration defines the concept of “primary health care”, which includes the importance of the diagnostic phase in the Italian health care system to provide Essential Levels of Assistance (LEA). It is clear from our studies that the technology at the national level is not adequate to satisfy the UHC principles or the European criteria, with negative effects on the diagnostic standards and on advanced screenings. This study conducted on the installed CTs in Italy at the end of 2016 confirms the persistence of progressive aging that has been recorded for several years in the health facilities of the country and suggests incentive policies for the replacement of obsolete equipment, which represent a form of investment rather than a cost, due to the nature of the expenditure itself, one-off and amortizable over time.
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Affiliation(s)
- Pietro Cappabianca
- Centro Interdipartimentale di Ricerche Neurologiche, Università degli Studi della Campania "Luigi Vanvitelli", 80121 Napoli, Italy
| | - Gaetano Maria Russo
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
| | - Umberto Atripaldi
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
| | - Luigi Gallo
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
| | - Maria Paola Rocco
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
| | - Giovanni Pasceri
- Facoltà di Medicina e Chirurgia, Università Vita-Salute San Raffaele, 20132 Milano, Italy
| | - Michele A A Karaboue
- Sezione Medicina Legale, Dipartimento Medicina Sperimentale "L. Vanvitelli", Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
| | - Silvia Angioi
- Dipartimento di Scienze Politiche "Jean Monnet", Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
| | - Salvatore Cappabianca
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
| | - Alfonso Reginelli
- Dipartimento di Medicina di Precisione, Università degli Studi della Campania Luigi Vanvitelli, 80121 Napoli, Italy
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12
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Yamazaki H, Tauchi S, Wang J, Dohke M, Hanawa N, Kodama Y, Katanuma A, Saisho Y, Kamitani T, Fukuhara S, Yamamoto Y. Longitudinal association of fatty pancreas with the incidence of type-2 diabetes in lean individuals: a 6-year computed tomography-based cohort study. J Gastroenterol 2020; 55:712-721. [PMID: 32246380 DOI: 10.1007/s00535-020-01683-x] [Citation(s) in RCA: 34] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 03/19/2020] [Indexed: 02/06/2023]
Abstract
BACKGROUND Only a few studies have longitudinally evaluated whether fatty pancreas increases the risk of type-2 diabetes (T2D), and their results were inconsistent. Fatty pancreas is closely linked to overweight and obesity, but previous studies did not exclude overweight or obese individuals. Therefore, in this cohort study, we investigated the association between fatty pancreas and T2D incidence in lean individuals. METHODS Between 2008 and 2013, 1478 nondiabetic lean individuals (i.e. body-mass index < 25 kg/m2) underwent health examinations including computed tomography (CT) and were followed for a median of 6.19 years. Fatty pancreas was evaluated by a histologically-validated method using pancreas attenuation (Hounsfield units [HU]) on CT at baseline; lower pancreas attenuation indicates more pancreatic fat. To detect incident T2D, we used fasting plasma glucose, HbA1c, and self-reports of prescribed anti-diabetes medications. Odds ratios (OR) for the association between pancreas attenuation and incident T2D were estimated using logistic regression models adjusted for likely confounders. RESULTS T2D occurred in 61 participants (4.13%) during the follow-up period. Lower pancreas attenuation (i.e. more pancreatic fat) at baseline was associated with incident T2D (unadjusted OR per 10 HU lower attenuation: 1.56 [95% CI 1.28-1.91], p < 0.001). The multivariable-adjusted analysis revealed a similar association (adjusted OR per 10 HU lower attenuation: 1.32 [95% CI 1.06-1.63], p = 0.012). CONCLUSIONS T2D was likely to develop in lean individuals with the fatty pancreas. Among people who are neither obese nor overweight, the fatty pancreas can be used to define a group at high risk for T2D.
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Affiliation(s)
- Hajime Yamazaki
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan. .,Section of Clinical Epidemiology, Department of Community Medicine, Graduate School of Medicine, Kyoto University, 54 Kawahara-cho, Syogoin, Sakyo-ku, Kyoto, 606-8507, Japan.
| | - Shinichi Tauchi
- Department of Radiology, Keijinkai Maruyama Clinic, 3-16, Odori Nishi 26-chome, Chuo-ku, Sapporo, 064-0820, Japan
| | - Jui Wang
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan.,Institute of Epidemiology and Preventive Medicine, College of Public Health, National Taiwan University, Room 517, No. 17, Xu-Zhou Road, Taipei, 100, Taiwan
| | - Mitsuru Dohke
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, 3-16, Odori Nishi 26-chome, Chuo-ku, Sapporo, 064-0820, Japan
| | - Nagisa Hanawa
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, 3-16, Odori Nishi 26-chome, Chuo-ku, Sapporo, 064-0820, Japan
| | - Yoshihisa Kodama
- Department of Radiology, Teine Keijinkai Hospital, 1-40, 1-jo 12-chome, Maeda, Teine-ku, Sapporo, 006-8555, Japan
| | - Akio Katanuma
- Center for Gastroenterology, Teine Keijinkai Hospital, 1-40, 1-jo 12-chome, Maeda, Teine-ku, Sapporo, 006-8555, Japan
| | - Yoshifumi Saisho
- Department of Internal Medicine, Keio University School of Medicine, 35 Shinanomachi, Shinjuku-ku, Tokyo, 160-8582, Japan
| | - Tsukasa Kamitani
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Shunichi Fukuhara
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
| | - Yosuke Yamamoto
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Yoshida Konoe-cho, Sakyo-ku, Kyoto, 606-8501, Japan
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13
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Hori I, Tsuji T, Miyake M, Ueda K, Kataoka E, Suzuki M, Kobayashi S, Kurahashi H, Takahashi Y, Okumura A, Yoshikawa T, Saitoh S, Natsume J. Delayed recognition of childhood arterial ischemic stroke. Pediatr Int 2019; 61:895-903. [PMID: 31295764 DOI: 10.1111/ped.13966] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/23/2018] [Revised: 02/03/2019] [Accepted: 04/05/2019] [Indexed: 12/14/2022]
Abstract
BACKGROUND Few population-based surveys of childhood arterial ischemic stroke (AIS) have been conducted in Asian countries. The aim of this study was to investigate the clinical features, time to diagnosis, and prognosis of childhood AIS in a population-based cohort in Japan. METHODS Children aged 29 days-15 years 11 months old, residing in the Aichi Prefecture of Japan with radiologically confirmed AIS during 2010-2014, were identified retrospectively through questionnaires. We analyzed 40 children (23 boys, 17 girls; median age, 7 years 3 months), and collected time interval information of 26 patients. The time from clinical onset to first physician assessment and the time to AIS diagnosis were calculated. RESULTS The most common presentation was paralysis or paresis in 27 patients (71%). No underlying disorders or possible trigger factors were identified in 14 patients (35%). The median time from symptom onset to first physician assessment was 2.9 h. The median time from symptom onset to the confirmed AIS diagnosis was 27.0 h. The diagnosis of AIS was made in the first 6 h after onset of symptoms in 27% of patients for whom the time was available. Radiological diagnosis took longer than 24 h in 54% of these patients. CONCLUSIONS Long in-hospital delays exist in the diagnosis of AIS in children, likely due to lack of awareness of stroke by doctors. Further efforts to increase public and physician awareness of childhood stroke are needed to ensure early diagnosis and treatment.
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Affiliation(s)
- Ikumi Hori
- Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.,Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan
| | - Takeshi Tsuji
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Okazaki City Hospital, Okazaki, Aichi, Japan
| | - Misa Miyake
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Kazuto Ueda
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Erina Kataoka
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Michio Suzuki
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Satoru Kobayashi
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Nagoya City West Medical Center, Nagoya, Aichi, Japan
| | - Hirokazu Kurahashi
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Aichi Medical University, Nagakute, Aichi, Japan
| | - Yoshiyuki Takahashi
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
| | - Akihisa Okumura
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Aichi Medical University, Nagakute, Aichi, Japan
| | - Tetsushi Yoshikawa
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Fujita Health University School of Medicine, Toyoake, Aichi, Japan
| | - Shinji Saitoh
- Department of Pediatrics and Neonatology, Nagoya City University Graduate School of Medical Sciences, Nagoya, Aichi, Japan.,Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan
| | - Jun Natsume
- Pediatric Stroke Study Group in Aichi Prefecture, Nagoya, Aichi, Japan.,Department of Pediatrics, Nagoya University Graduate School of Medicine, Nagoya, Aichi, Japan
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14
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Kumamaru KK, Kumamaru H, Yasunaga H, Matsui H, Omiya T, Hori M, Suzuki M, Wada A, Kamagata K, Takamura T, Irie R, Nakanishi A, Aoki S. Large hospital variation in the utilization of Post-procedural CT to detect pulmonary embolism/Deep Vein Thrombosis in Patients Undergoing Total Knee or Hip Replacement Surgery: Japanese Nationwide Diagnosis Procedure Combination Database Study. Br J Radiol 2019; 92:20180825. [PMID: 30835500 DOI: 10.1259/bjr.20180825] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022] Open
Abstract
OBJECTIVE The purpose of the study was to investigate variation in the use of in-hospital CT for venous thromboembolism (VTE) detection after total knee or hip replacement (TKR/THR) among surgical patients, using a nationwide Japanese in-hospital administrative database. METHODS This retrospective study using a national administrative database (4/2012-3/2013) extracted patients who underwent TKR/THR surgeries at hospitals meeting the annual case-volume threshold of ≥ 30. Hospitals were categorized into three equally sized groups by frequency of postoperative CT use (low, middle, and high CT use group) to compare baseline patient-level and hospital-level characteristics. To further investigate between-hospital variation in CT usage, we fitted a hierarchical logistic regression model including hospital-specific random intercepts and fixed patient- and hospital-level effects. The intra class correlation coefficient was used to measure the amount of variability in CT use attributable to between-hospital variation. RESULTS A total of 39,127 patients discharged from 447 hospitals met the inclusion criteria. The median hospital stay was 25 days (interquartile range, 20 - 32) and 7,599 (19.4%) patients underwent CT for VTE. CT utilization varied greatly among the hospitals; the crude frequency ranged from 0 to 100 % (median, 7.3 %; interquartile range, 1.8 - 18.3 %). After adjustment for known hospital- and patient-level factors related to CT use, 47 % of the variation in CT use remained attributable to the behavior of individual hospitals. CONCLUSION We observed large inter hospital variability in the utilization of post-procedure CT for VTE detection in this Japanese TKR/THR cohort, suggesting that CT utilization is not optimized across the nation. ADVANCES IN KNOWLEDGE We observed significant variability in the utilization of post-procedure CT for VTE detection among inpatients who underwent TKR/THR surgeries in a large sample of Japanese hospitals. The large variation suggests that CT utilization is not optimized across the nation, and that there may be potential overutilization of the technology in the highest CT use hospitals.
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Affiliation(s)
| | - Hiraku Kumamaru
- 2 Department of Healthcare Quality Assessment, Graduate School of Medicine, University of Tokyo , Tokyo , Japan
| | - Hideo Yasunaga
- 3 Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo , Japan
| | - Hiroki Matsui
- 3 Department of Clinical Epidemiology and Health Economics, School of Public Health, Graduate School of Medicine, The University of Tokyo , Japan
| | - Toshinobu Omiya
- 4 Department of Orthopaedic Surgery, Faculty of Medicine, The University of Tokyo , Japan
| | - Masaaki Hori
- 1 Department of Radiology, Juntendo University , Tokyo , Japan
| | | | - Akihiko Wada
- 1 Department of Radiology, Juntendo University , Tokyo , Japan
| | - Koji Kamagata
- 1 Department of Radiology, Juntendo University , Tokyo , Japan
| | | | - Ryusuke Irie
- 1 Department of Radiology, Juntendo University , Tokyo , Japan
| | | | - Shigeki Aoki
- 1 Department of Radiology, Juntendo University , Tokyo , Japan
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15
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Yamazaki H, Tauchi S, Kimachi M, Dohke M, Hanawa N, Kodama Y, Katanuma A, Yamamoto Y, Fukuma S, Fukuhara S. Association between pancreatic fat and incidence of metabolic syndrome: a 5-year Japanese cohort study. J Gastroenterol Hepatol 2018; 33:2048-2054. [PMID: 29697157 DOI: 10.1111/jgh.14266] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2018] [Revised: 04/07/2018] [Accepted: 04/17/2018] [Indexed: 12/11/2022]
Abstract
BACKGROUND AND AIM Previous cross-sectional studies showed that pancreatic fat was associated with metabolic syndrome. However, no longitudinal study has evaluated whether people with high pancreatic fat are likely to develop future metabolic syndrome. This study investigated the association between baseline pancreatic fat and metabolic syndrome incidence. METHODS In 2008-2009, 320 participants without metabolic syndrome underwent health checks, which included unenhanced computed tomography, and were followed up annually for 4-5 years. Baseline pancreatic fat amounts were evaluated using a histologically validated method that measured differences between pancreas and spleen attenuations on computed tomography. The participants were divided into low (reference), intermediate, and high pancreatic fat groups based on pancreas and spleen attenuation tertiles. Metabolic syndrome incidence was evaluated annually over a median follow-up period of 4.99 (interquartile range, 4.88-5.05) years, in accordance with the 2009 harmonized criteria. Risk ratios (RRs) for the association between baseline pancreatic fat amounts and metabolic syndrome incidence were estimated using Poisson regression models adjusted for age, sex, body mass index, liver fat, pre-metabolic syndrome, cigarette use, alcohol use, and physical activity. RESULTS Metabolic syndrome incidence was 30.6% (98/320). Pancreatic fat was associated with an increased incidence of metabolic syndrome, based on a univariate analysis (RRs [95% confidence interval], 3.14 [1.74-5.67] and 3.96 [2.23-7.03] in the intermediate and high pancreatic fat groups, respectively). The association remained statistically significant in the multivariate analysis (RR [95% confidence interval], 2.04 [1.14-3.64] and 2.30 [1.28-4.14] for the same groups, respectively). CONCLUSIONS Pancreatic fat predicts the future risk of metabolic syndrome.
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Affiliation(s)
- Hajime Yamazaki
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shinichi Tauchi
- Department of Radiology, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Miho Kimachi
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Mitsuru Dohke
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Nagisa Hanawa
- Department of Health Checkup and Promotion, Keijinkai Maruyama Clinic, Sapporo, Japan
| | - Yoshihisa Kodama
- Department of Radiology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Akio Katanuma
- Center for Gastroenterology, Teine Keijinkai Hospital, Sapporo, Japan
| | - Yosuke Yamamoto
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shingo Fukuma
- Human Health Sciences, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Shunichi Fukuhara
- Department of Healthcare Epidemiology, School of Public Health in the Graduate School of Medicine, Kyoto University, Kyoto, Japan
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16
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Kumamaru KK, Sano Y, Kumamaru H, Hori M, Takamura T, Irie R, Suzuki M, Hagiwara A, Kamagata K, Nakanishi A, Aoki S. Radiologist involvement is associated with reduced use of MRI in the acute period of low back pain in a non-elderly population. Eur Radiol 2017; 28:1600-1608. [PMID: 29063252 DOI: 10.1007/s00330-017-5086-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2017] [Revised: 08/22/2017] [Accepted: 09/22/2017] [Indexed: 12/16/2022]
Abstract
PURPOSE To test the hypothesis that "acute-period" lumbar MRI in non-elderly patients with low back pain is less frequently performed at clinics/hospitals with greater involvement of full-time radiologists in the imaging workflow. METHODS In a national-level claims database, we identified 14,819 non-elderly patients (mean age: 38.7±8.0 years) who visited clinics/hospitals for low back pain in 2013-2015. We classified the clinics/hospitals into four groups based on the level of full-time radiologist involvement and MRI ownership, and compared the frequency of acute-period lumbar MRI using hierarchical logistic regression analysis. RESULTS Patients visiting facilities without a full-time radiologist (n=2105) were significantly (p<0.001) more likely to undergo acute-period MRI than those visiting facilities with ≥1 radiologist partially managing imaging workflow (level-1, n=491) or ≥1 radiologist intensively involved in imaging workflow (level-2, n=1190) (15.7% vs. 6.9% and 7.3%; adjusted odds ratio of no-radiologist versus level-2: 2.93, p=0.018). No difference was observed between level-1 and level-2 involvement. CONCLUSIONS Facilities with no full-time radiologist were more likely to perform acute-period MRI to assess for low back pain, while no difference was seen between facilities with varying levels of radiologist involvement in the imaging workflow. Radiologist involvement may contribute to optimal utilisation of medical imaging. KEY POINTS • Lumbar MRI was more frequently performed at facilities without full-time radiologists. • Full-time radiologists may play an important role in appropriate utilisation of imaging. • Frequency of MRI was similar between moderate and intensive radiologist involvement.
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Affiliation(s)
- Kanako K Kumamaru
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan.
| | - Yukiko Sano
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Hiraku Kumamaru
- Department of Healthcare Quality Assessment, Graduate School of Medicine, University of Tokyo, Tokyo, Japan
| | - Masaaki Hori
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Tomohiro Takamura
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Ryusuke Irie
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Michimasa Suzuki
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Akifumi Hagiwara
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Koji Kamagata
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Atsushi Nakanishi
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
| | - Shigeki Aoki
- Department of Radiology, School of Medicine, Juntendo University, 2-1-1 Hongo, Bunkyo-ku, Tokyo, 113-8421, Japan
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17
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Appropriate imaging utilization in Japan: a survey of accredited radiology training hospitals. Jpn J Radiol 2017; 35:648-654. [DOI: 10.1007/s11604-017-0677-0] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2017] [Accepted: 08/10/2017] [Indexed: 12/11/2022]
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18
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Tamaki N. JJR: our next step. Jpn J Radiol 2016; 34:763-764. [PMID: 27909933 DOI: 10.1007/s11604-016-0583-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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