result 1212 件
| JaLCDOI | 10.18926/AMO/64361 |
|---|---|
| FullText URL | 77_1_45.pdf |
| Author | Takeuchi, Kazuhiro| Ide, Yasuhiro| Mori, Yuichiro| Uehara, Yusuke| Sukeishi, Hiroshi| Goto, Sachiko| |
| Abstract | Novel deep learning image reconstruction (DLIR) reportedly changes the image quality characteristics based on object contrast and image noise. In clinical practice, computed tomography image noise is usually controlled by tube current modulation (TCM) to accommodate changes in object size. This study aimed to evaluate the image quality characteristics of DLIR for different object sizes when the in-plane noise was controlled by TCM. Images acquisition was performed on a GE Revolution CT system to investigate the impact of the DLIR algorithm compared to the standard reconstructions of filtered-back projection (FBP) and hybrid iterative reconstruction (hybrid-IR). The image quality assessment was performed using phantom images, and an observer study was conducted using clinical cases. The image quality assessment confirmed the excellent noise- reduction performance of DLIR, despite variations due to phantom size. Similarly, in the observer study, DLIR received high evaluations regardless of the body parts imaged. We evaluated a novel DLIR algorithm by replicating clinical behaviors. Consequently, DLIR exhibited higher image quality than those of FBP and hybrid-IR in both phantom and observer studies, albeit the value depended on the reconstruction strength, and proved itself capable of providing stable image quality in clinical use. |
| Keywords | computed tomography deep learning image reconstruction tube current modulation object size |
| Amo Type | Original Article |
| Publication Title | Acta Medica Okayama |
| Published Date | 2023-02 |
| Volume | volume77 |
| Issue | issue1 |
| Publisher | Okayama University Medical School |
| Start Page | 45 |
| End Page | 55 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| Content Type | Journal Article |
| language | English |
| Copyright Holders | Copyright Ⓒ 2023 by Okayama University Medical School |
| File Version | publisher |
| Refereed | True |
| PubMed ID | 36849145 |
| Web of Science KeyUT | 000952992100002 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Huo, Yuanzhi| Puspitaningayu, Pradini| Funabiki, Nobuo| Hamazaki, Kazushi| Kuribayashi, Minoru| Zhao, Yihan| Kojima, Kazuyuki| |
| Keywords | parameter optimization application indoor localization face contour model computational fluid dynamics |
| Published Date | 2023-01-09 |
| Publication Title | Algorithms |
| Volume | volume16 |
| Issue | issue1 |
| Publisher | MDPI |
| Start Page | 45 |
| ISSN | 1999-4893 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2023 by the authors. |
| File Version | publisher |
| DOI | 10.3390/a16010045 |
| Web of Science KeyUT | 000918844100001 |
| Related Url | isVersionOf https://doi.org/10.3390/a16010045 |
| FullText URL | fulltext20230125-2.pdf |
|---|---|
| Author | Gan, Maohua| Yucel, Zeynep| Monden, Akito| |
| Keywords | Software defect defect prediction model accuracy measure classification technology empirical software engineering |
| Published Date | 2022-12-26 |
| Publication Title | IEEE Access |
| Volume | volume10 |
| Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| Start Page | 134580 |
| End Page | 134591 |
| ISSN | 2169-3536 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| File Version | publisher |
| DOI | 10.1109/access.2022.3232144 |
| Web of Science KeyUT | 000906230800001 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Shi, Chenrui| Funabiki, Nobuo| Huo, Yuanzhi| Mentari, Mustika| Suga, Kohei| Toshida, Takashi| |
| Keywords | digitization printed table OCR Python OpenCV Tesseract |
| Published Date | 2022-12-11 |
| Publication Title | Algorithms |
| Volume | volume15 |
| Issue | issue12 |
| Publisher | MDPI |
| Start Page | 471 |
| ISSN | 1999-4893 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 by the authors. |
| File Version | publisher |
| DOI | 10.3390/a15120471 |
| Web of Science KeyUT | 000900452900001 |
| Related Url | isVersionOf https://doi.org/10.3390/a15120471 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Fujii, Yuki| Matsumoto, Kazuyuki| Miyamoto, Kazuya| Matsumi, Akihiro| Morimoto, Kosaku| Terasawa, Hiroyuki| Yamazaki, Tatsuhiro| Horiguchi, Shigeru| Tsutsumi, Koichiro| Kato, Hironari| |
| Keywords | biliary stent endoscope migration perforation |
| Published Date | 2022-12-02 |
| Publication Title | MEDICINE |
| Volume | volume101 |
| Issue | issue48 |
| Publisher | LIPPINCOTT WILLIAMS & WILKINS |
| Start Page | e31868 |
| ISSN | 0025-7974 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 the Author(s). |
| File Version | publisher |
| PubMed ID | 36482637 |
| DOI | 10.1097/MD.0000000000031868 |
| Web of Science KeyUT | 000895502600121 |
| Related Url | isVersionOf https://doi.org/10.1097/MD.0000000000031868 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Kaku, Naoko| Sugiyama, Hiroki| Nakamura, Kazufumi| Furutani, Tomoki| Hongo, Takashi| Ito, Hiroshi| |
| Keywords | bone fractures fat embolism syndrome |
| Published Date | 2022-11-06 |
| Publication Title | Clinical Case Reports |
| Volume | volume10 |
| Issue | issue11 |
| Publisher | Wiley |
| Start Page | e06552 |
| ISSN | 2050-0904 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 The Authors. |
| File Version | publisher |
| PubMed ID | 36381050 |
| DOI | 10.1002/ccr3.6552 |
| Web of Science KeyUT | 000891440900131 |
| Related Url | isVersionOf https://doi.org/10.1002/ccr3.6552 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Rahman, Md Mahbubur| Funabiki, Nobuo| Munene, Kwenga Ismael| Roy, Sujan Chandra| Kuribayashi, Minoru| Gulo, Melki Mario| Kao, Wen-Chung| |
| Keywords | Raspberry Pi WLAN traffic shaping access point fairness throughput request |
| Published Date | 2022-11-15 |
| Publication Title | Sensors |
| Volume | volume22 |
| Issue | issue22 |
| Publisher | MDPI |
| Start Page | 8823 |
| ISSN | 1424-8220 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 by the authors. |
| File Version | publisher |
| PubMed ID | 36433419 |
| DOI | 10.3390/s22228823 |
| Web of Science KeyUT | 000887819400001 |
| Related Url | isVersionOf https://doi.org/10.3390/s22228823 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Matsusaka, Yohji| Werner, Rudolf A.| Arias-Loza, Paula| Nose, Naoko| Sasaki, Takanori| Chen, Xinyu| Lapa, Constantin| Higuchi, Takahiro| |
| Published Date | 2022-07-16 |
| Publication Title | Molecular Imaging |
| Volume | volume2022 |
| Publisher | Hindawi Ltd. |
| Start Page | 9810097 |
| ISSN | 1536-0121 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 Yohji Matsusaka et al. |
| File Version | publisher |
| PubMed ID | 35903250 |
| DOI | 10.1155/2022/9810097 |
| Web of Science KeyUT | 000887057400001 |
| Related Url | isVersionOf https://doi.org/10.1155/2022/9810097 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Misawa, Masaaki| Hokyo, Hinata| Fukushima, Shogo| Shimamura, Kohei| Koura, Akihide| Shimojo, Fuyuki| Kalia, Rajiv K.| Nakano, Aiichiro| Vashishta, Priya| |
| Published Date | 2022-11-14 |
| Publication Title | Scientific Reports |
| Volume | volume12 |
| Issue | issue1 |
| Publisher | Nature Portfolio |
| Start Page | 19458 |
| ISSN | 2045-2322 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © The Author(s) 2022 |
| File Version | publisher |
| PubMed ID | 36376359 |
| DOI | 10.1038/s41598-022-24004-z |
| Web of Science KeyUT | 000883823800060 |
| Related Url | isVersionOf https://doi.org/10.1038/s41598-022-24004-z |
| FullText URL | fulltext20221130-3.pdf |
|---|---|
| Author | Sato, Ryosuke| Matsumoto, Kazuyuki| Kanzaki, Hiromitsu| Matsumi, Akihiro| Miyamoto, Kazuya| Morimoto, Kosaku| Terasawa, Hiroyuki| Fujii, Yuki| Yamazaki, Tatsuhiro| Uchida, Daisuke| Tsutsumi, Koichiro| Horiguchi, Shigeru| Kato, Hironari| |
| Keywords | Endoscopic ultrasound-guided fine needle aspiration Linitis plastica Autoimmune pancreatitis Paraneoplastic syndromes Case report |
| Note | Sato R, Matsumoto K, Kanzaki H, Matsumi A, Miyamoto K, Morimoto K, Terasawa H, Fujii Y, Yamazaki T, Uchida D, Tsutsumi K, Horiguchi S, Kato H. Gastric linitis plastica with autoimmune pancreatitis diagnosed by an endoscopic ultrasonography-guided fine-needle biopsy: A case report. World J Clin Cases 2022; 10(31): 11607-11616 [PMID: 36387831 DOI: 10.12998/wjcc.v10.i31.11607]| |
| Published Date | 2022-11-6 |
| Publication Title | World Journal of Clinical Cases |
| Volume | volume10 |
| Issue | issue31 |
| Publisher | Baishideng Publishing Group Inc. |
| Start Page | 11607 |
| End Page | 11616 |
| ISSN | 2307-8960 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | ©The Author(s) 2022 |
| File Version | publisher |
| PubMed ID | 36387831 |
| DOI | 10.12998/wjcc.v10.i31.11607 |
| Web of Science KeyUT | 000885256200043 |
| FullText URL | fulltext20221122-4.pdf |
|---|---|
| Author | Yamaguchi, Kizashi| Shoji, Mitsuo| Isobe, Hiroshi| Kawakami, Takashi| Miyagawa, Koichi| Suga, Michihiro| Akita, Fusamichi| Shen, Jian-Ren| |
| Keywords | Water oxidation Oxygen evolution Photosystem II HR XRD SFX XFEL QM/MM calculation DLPNO CCSD(T-0) computations, Oxyl radical character |
| Note | (C) 2022 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 License. http://creativecommons.org/licenses/by-nc-nd/4.0/. This is the accepted manuscript version. The formal published version is available at https://doi.org/10.1016/j.ccr.2022.214742| This full-text file will be available in Aug. 2024.| |
| Published Date | 2022-11 |
| Publication Title | Coordination Chemistry Reviews |
| Volume | volume471 |
| Publisher | Elsevier BV |
| Start Page | 214742 |
| ISSN | 0010-8545 |
| NCID | AA00619249 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 Elsevier B.V. |
| File Version | author |
| DOI | 10.1016/j.ccr.2022.214742 |
| Web of Science KeyUT | 000879286600003 |
| Related Url | isVersionOf https://doi.org/10.1016/j.ccr.2022.214742 |
| FullText URL | fulltext.pdf |
|---|---|
| Author | Sukegawa, Shintaro| Yoshii, Kazumasa| Hara, Takeshi| Tanaka, Futa| Yamashita, Katsusuke| Kagaya, Tutaro| Nakano, Keisuke| Takabatake, Kiyofumi| Kawai, Hotaka| Nagatsuka, Hitoshi| Furuki, Yoshihiko| |
| Published Date | 2022-07-27 |
| Publication Title | Plos One |
| Volume | volume17 |
| Issue | issue7 |
| Publisher | Public Library Science |
| Start Page | e0269016 |
| ISSN | 1932-6203 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 Sukegawa et al. |
| File Version | publisher |
| PubMed ID | 35895591 |
| DOI | 10.1371/journal.pone.0269016 |
| Web of Science KeyUT | 000880183400018 |
| Related Url | isVersionOf https://doi.org/10.1371/journal.pone.0269016 |
| FullText URL | fulltext20221114-1.pdf |
|---|---|
| Author | Isobe, Hiroshi| Shoji, Mitsuo| Suzuki, Takayoshi| Shen, Jian-Ren| Yamaguchi, Kizashi| |
| Note | This document is the Accepted Manuscript version of a Published Work that appeared in final form in The Journal of Physical Chemistry B, copyright © American Chemical Society after peer review and technical editing by the publisher. To access the final edited and published work see https://doi.org/10.1021/acs.jpcb.2c02596| This full-text will be available in Sep. 2023.| |
| Published Date | 2022-09-15 |
| Publication Title | The Journal of Physical Chemistry B |
| Volume | volume126 |
| Issue | issue38 |
| Publisher | American Chemical Society (ACS) |
| Start Page | 7212 |
| End Page | 7228 |
| ISSN | 1520-6106 |
| NCID | AA11114073 |
| Content Type | Journal Article |
| language | English |
| OAI-PMH Set | 岡山大学 |
| Copyright Holders | © 2022 American Chemical Society |
| File Version | author |
| PubMed ID | 36107406 |
| DOI | 10.1021/acs.jpcb.2c02596 |
| Web of Science KeyUT | 000863255500001 |
| Related Url | isVersionOf https://doi.org/10.1021/acs.jpcb.2c02596 |
| JaLCDOI | 10.18926/AMO/64126 |
|---|---|
| FullText URL | 76_6_743.pdf |
| Author | Tanaka, Masato| Suthar, Hardik| Desai, Dhvanit| Yamauchi, Taro| Arataki, Shinya| Fujiwara, Yoshihiro| Uotani, Koji| Oda, Yoshiaki| Misawa, Haruo| |
| Abstract | We describe a floating technique via a posterolateral approach with intraoperative O-arm navigation to facilitate decompression of the spinal cord in thoracic myelopathy due to severe ossification of the posterior longitudinal ligament (OPLL). A 62-year-old man with myelopathy due to thoracic OPLL had left-leg muscle weakness, urinary disturbance, and spastic gait. Bilateral leg pain and gait disturbance had persisted for 2 years. He was successfully treated by the posterolateral OPLL floating procedure and posterior pedicle fixation under O-arm navigation. At a 2-year follow-up, manual muscle testing results and sensory function of the left leg had recovered fully. His cervical Japanese Orthopedic Association score had improved from 5/12 to 11/12. The novel intraoperative O-arm navigation-guided posterolateral floating procedure for thoracic OPLL is effective for achieving precise decompression and strong fixation with a posterior approach only and can provide an excellent result for severe thoracic OPLL without the risk of adverse events from intraoperative radiation. |
| Keywords | ossification of the posterior longitudinal ligament floating method navigation surgery C-arm free |
| Amo Type | Case Report |
| Publication Title | Acta Medica Okayama |
| Published Date | 2022-12 |
| Volume | volume76 |
| Issue | issue6 |
| Publisher | Okayama University Medical School |
| Start Page | 743 |
| End Page | 748 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| Content Type | Journal Article |
| language | English |
| Copyright Holders | Copyright Ⓒ 2022 by Okayama University Medical School |
| File Version | publisher |
| Refereed | True |
| PubMed ID | 36549778 |
| Web of Science KeyUT | 000905195100016 |
| JaLCDOI | 10.18926/AMO/64117 |
|---|---|
| FullText URL | 76_6_673.pdf |
| Author | Okazawa-Sakai, Mika| Yamamoto, Yasuko| Futagawa, Mashu| Okamura, Miki| Miyawaki, Satoko| Nishina, Tomohiro| Takehara, Kazuhiro| Kozuki, Toshiyuki| Tomida, Shuta| Hyodo, Ichinosuke| Ohsumi, Shozo| Hirasawa, Akira| |
| Abstract | Patients found to have presumed germline pathogenic variants (PGPVs) during comprehensive genomic profiling (CGP) require genetic counseling (GC) referrals. We retrospectively investigated the outcomes of patients with PGPVs. Among 159 patients who underwent CGP, we recommended GC for the 16 patients with PGPVs (3 with [FG group] and 13 without [G Group] a family/personal history of hereditary cancer) as well as for the 8 patients with no PGPVs, but a history (F group); 2 (67%), 5 (38%), and 3 (38%) patients received GC in the FG, G, and F groups, respectively. Germline testing results were positive in 1 and 2 patients of the FG and G groups, respectively. Among the patients recommended for GC, 58% did not receive GC due to lack of interest, poor performance status, or death. CGP contributes to the identification of germline variants in patients without a history of hereditary cancer. However, the proportion of patients who undergo GC should be improved. |
| Keywords | comprehensive genomic profiling hereditary cancer germline findings presumed germline pathogenic variant(s) genetic counseling |
| Amo Type | Original Article |
| Publication Title | Acta Medica Okayama |
| Published Date | 2022-12 |
| Volume | volume76 |
| Issue | issue6 |
| Publisher | Okayama University Medical School |
| Start Page | 673 |
| End Page | 678 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| Content Type | Journal Article |
| language | English |
| Copyright Holders | Copyright Ⓒ 2022 by Okayama University Medical School |
| File Version | publisher |
| Refereed | True |
| PubMed ID | 36549769 |
| Web of Science KeyUT | 000905195100007 |
| JaLCDOI | 10.18926/AMO/64111 |
|---|---|
| FullText URL | 76_6_617.pdf |
| Author | Kobayashi, Katsuhiro| Shibata, Takashi| Tsuchiya, Hiroki| Akiyama, Tomoyuki| |
| Abstract | We developed an artificial intelligence (AI) technique to identify epileptic discharges (spikes) in pediatric scalp electroencephalograms (EEGs). We built a convolutional neural network (CNN) model to automatically classify steep potential images into spikes and background activity. For the CNN model’ training and validation, we examined 100 children with spikes in EEGs and another 100 without spikes. A different group of 20 children with spikes and 20 without spikes were the actual test subjects. All subjects were ≥ 3 to < 18 years old. The accuracy, sensitivity, and specificity of the analysis were >0.97 when referential and combination EEG montages were used, and < 0.97 with a bipolar montage. The correct classification of background activity in individual patients was significantly better with a referential montage than with a bipolar montage (p=0.0107). Receiver operating characteristic curves yielded an area under the curve > 0.99, indicating high performance of the classification method. EEG patterns that interfered with correct classification included vertex sharp transients, sleep spindles, alpha rhythm, and low-amplitude ill-formed spikes in a run. Our results demonstrate that AI is a promising tool for automatically interpreting pediatric EEGs. Some avenues for improving the technique were also indicated by our findings. |
| Keywords | neural network deep learning electroencephalogram children spike |
| Amo Type | Original Article |
| Publication Title | Acta Medica Okayama |
| Published Date | 2022-12 |
| Volume | volume76 |
| Issue | issue6 |
| Publisher | Okayama University Medical School |
| Start Page | 617 |
| End Page | 624 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| Content Type | Journal Article |
| language | English |
| Copyright Holders | Copyright Ⓒ 2022 by Okayama University Medical School |
| File Version | publisher |
| Refereed | True |
| PubMed ID | 36549763 |
| Web of Science KeyUT | 000905195100001 |
| FullText URL | K0006737_abstract_review.pdf K0006737_summary.pdf |
|---|---|
| Author | ASAAD MUSAED AHMED ANAAM| |
| Published Date | 2022-09-22 |
| Content Type | Thesis or Dissertation |
| Grant Number | 甲第6737号 |
| Granted Date | 2022-09-22 |
| Thesis Type | Doctor of Philosophy |
| Grantor | 岡山大学 |
| language | English |
| FullText URL | K0006718_abstract_review.pdf K0006718_fulltext.pdf |
|---|---|
| Author | HEIN HTET| |
| Published Date | 2022-09-22 |
| Content Type | Thesis or Dissertation |
| Grant Number | 甲第6718号 |
| Granted Date | 2022-09-22 |
| Thesis Type | Doctor of Philosophy in Engineering |
| Grantor | 岡山大学 |
| language | English |
| JaLCDOI | 10.18926/AMO/64041 |
|---|---|
| FullText URL | 76_5_593.pdf |
| Author | Noumi, Taku| Watanabe, Hiromi| Ninomiya, Kiichiro| Ohashi, Kadoaki| Ichihara, Eiki| Kubo, Toshio| Makimoto, Go| Kato, Yuka| Fujii, Masanori| Tabata, Masahiro| Maeda, Yoshinobu| Hotta, Katsuyuki| Kiura, Katsuyuki| |
| Abstract | We encountered a woman with re-enlarged axillary lymph nodes during a computed tomography (CT) scan for surveillance of lung adenocarcinoma with axillary lymph node metastasis at the initial diagnosis that had shrunk with standard chemotherapy. We first suspected cancer recurrence and considered a change in the chemotherapeutic regimen. However, after careful history taking regarding the timing of her Coronavirus Disease 2019 (COVID-19) vaccination, and subsequent careful, close follow-up, radiological shrinkage suggested a strictly benign cause. Especially in lung cancer with a medical history of axillary lymph node involvement, cliniciansshould be aware that vaccine-associated lymphadenopathy can mimic cancer recurrence and sometimesprompt serious misjudgment regarding a current treatment course and strategy. |
| Keywords | lung cancer COVID-19 vaccination axillary lymphadenopathy case report |
| Amo Type | Case Report |
| Publication Title | Acta Medica Okayama |
| Published Date | 2022-10 |
| Volume | volume76 |
| Issue | issue5 |
| Publisher | Okayama University Medical School |
| Start Page | 593 |
| End Page | 596 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| Content Type | Journal Article |
| language | English |
| Copyright Holders | Copyright Ⓒ 2022 by Okayama University Medical School |
| File Version | publisher |
| Refereed | True |
| PubMed ID | 36352807 |
| Web of Science KeyUT | 000884907100013 |
| JaLCDOI | 10.18926/AMO/64038 |
|---|---|
| FullText URL | 76_5_565.pdf |
| Author | Komagoe, Sho| Senoo, Takaya| Takao, Soshi| Shiraishi, Yoshinori| Matsumoto, Hiroshi| Kimata, Yoshihiro| |
| Abstract | We herein introduce horizontal vector analysis, a simple method for assessing cranial morphology based on measurement of the head’s horizontal plane, and use this method to establish normal cranial morphology in Japanese children Computed tomography scans taken in 2010-2019 in healthy Japanese children aged ≤ 6 years. The two measurement planes were parallel to the orbitomeatal plane: namely, a plane passing through the dorsum sellae (DS) and the plane superior to that with the maximal area (Max plane). A protractor was used to circumferentially measure the lengths from the central point to the outer surface of the skull. A total of 487 images were extracted. The distances between the DS and Max planes were consistently almost 30 mm for each age group, so we fixed the Max plane as the plane 30 mm superior to the DS plane. Finally, we established datasets of normal values for each age group and sex. Using these norms, perioperative evaluation of various cranial deformities could be performed more easily and circumstantially. |
| Keywords | craniofacial surgery craniosynostoses horizontal plane Japanese children reference values |
| Amo Type | Original Article |
| Publication Title | Acta Medica Okayama |
| Published Date | 2022-10 |
| Volume | volume76 |
| Issue | issue5 |
| Publisher | Okayama University Medical School |
| Start Page | 565 |
| End Page | 575 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| Content Type | Journal Article |
| language | English |
| Copyright Holders | Copyright Ⓒ 2022 by Okayama University Medical School |
| File Version | publisher |
| Refereed | True |
| PubMed ID | 36352804 |
| Web of Science KeyUT | 000884907100010 |
