検索結果 752 件
| JaLCDOI | 10.18926/AMO/68646 |
|---|---|
| フルテキストURL | 79_2_081.pdf |
| 著者 | Kawada, Tatsushi| Kobayashi, Yasuyuki| Tsugawa, Takuji| Tsuboi, Kazuma| Katayama, Satoshi| Iwata, Takehiro| Bekku, Kensuke| Kobayashi, Tomoko| Edamura, Kohei| Ebara, Shin| Araki, Motoo| |
| 抄録 | We retrospectively evaluated the oncologic outcomes of paclitaxel, cisplatin, and gemcitabine (PCG) with those of gemcitabine and cisplatin (GC) as neoadjuvant chemotherapy in muscle-invasive bladder cancer (MIBC) patients. The primary outcome was efficacy: pathological complete response (pCR), ypT0N0; and pathological objective response (pOR), ypT0N0, ≤ ypT1N0, or ypT0N1. Secondary outcomes included overall survival (OS), recurrence-free survival (RFS), predictive factors for pOR, OS, and RFS, and hematologic adverse events (AEs). Among 113 patients treated (PCG, n=28; GC, n=85), similar pOR and pCR rates were achieved by the groups (pOR: PCG, 57.1% vs. GC, 49. 4%; p=0.52; pCR: PCG, 39.3% vs. GC, 29.4%; p=0.36). No significant differences were observed in OS (p=1.0) or RFS (p=0.20). Multivariate logistic regression analysis showed that hydronephrosis (odds ratio [OR] 0.32, 95%CI: 0.11-0.92) and clinical node-positive status (cN+) (OR 0.22, 95%CI: 0.050-0.99) were significantly associated with a decreased probability of pOR. On multivariate Cox regression analyses, pOR achievement was associated with improved OS (hazard ratio [HR] 0.23, 95%CI: 0.10-0.56) and RFS (HR 0.30, 95%CI: 0.13-0.67). There were no significant between-group differences in the incidence of grade ≥ 3 hematologic AEs or dose-reduction required, but the PCG group had a higher incidence of grade 4 neutropenia. |
| キーワード | urothelial carcinoma paclitaxel cisplatin gemcitabine neoadjuvant |
| Amo Type | Original Article |
| 出版物タイトル | Acta Medica Okayama |
| 発行日 | 2025-04 |
| 巻 | 79巻 |
| 号 | 2号 |
| 出版者 | Okayama University Medical School |
| 開始ページ | 81 |
| 終了ページ | 92 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| 著作権者 | Copyright Ⓒ 2025 by Okayama University Medical School |
| 論文のバージョン | publisher |
| 査読 | 有り |
| JaLCDOI | 10.18926/AMO/68645 |
|---|---|
| フルテキストURL | 79_2_075.pdf |
| 著者 | Higaki, Fumiyo| Morimitsu, Yusuke| Iguchi, Toshihiro| Hwang, Sung Il| Kitayama, Takahiro| Takahashi, Yuka| Uka, Mayu| Akagi, Noriaki| Sugaya, Akiko| Mitsuhashi, Toshiharu| Matsui, Yusuke| Hiraki, Takao| |
| 抄録 | Temporal bone computed tomography (CT) is frequently performed for pediatric patients with ear diseases. Advances in CT technology have improved diagnostic imaging quality, but reduction of radiation exposure remains a goal. We evaluated the potential for radiation dose reduction in temporal bone CT examinations using porcine ear ossicles and a photon-counting detector CT system. Three scans of the bilateral temporal bone were performed on each of three pig cadaver heads. In each of seven successive imaging sessions, the radiation dose was reduced by an additional one-seventh of the recommended dose (RD). Two board-certified radiologists independently scored the resulting images on a scale of 1 to 5 points, where 5 represented the image quality at the RD. Images scoring ≥4.5 points were considered acceptable. Noise was assessed in a 2-cm-diameter region near the ear ossicles, and standard deviation was measured for each of the seven decrements from the RD. As the radiation dose decreased, the noise progressively increased, and visual assessment scores progressively decreased. Acceptable image scores were obtained at six-sevenths (4.9), five-sevenths (4.8), four-sevenths (4.7), and three-sevenths (4.6) of the RD. Thus, acceptable porcine temporal bone CT images were obtained with a radiation dose reduction of approximately 50%. |
| キーワード | computed tomography photon-counting detector computed tomography ear ossicle energy-integrating detector computed tomography |
| Amo Type | Original Article |
| 出版物タイトル | Acta Medica Okayama |
| 発行日 | 2025-04 |
| 巻 | 79巻 |
| 号 | 2号 |
| 出版者 | Okayama University Medical School |
| 開始ページ | 75 |
| 終了ページ | 80 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| 著作権者 | Copyright Ⓒ 2025 by Okayama University Medical School |
| 論文のバージョン | publisher |
| 査読 | 有り |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Tanaka, Shin| Nakata, Eiji| Ryuko, Tsuyoshi| Itano, Takuto| Tomioka, Yasuaki| Shien, Kazuhiko| Suzawa, Ken| Miyoshi, Kentaroh| Okazaki, Mikio| Sugimoto, Seiichiro| Ozaki, Toshifumi| Toyooka, Shinichi| |
| キーワード | Primary chest wall sarcomas Chest wall resection Chondrosarcoma Robust chest wall reconstruction |
| 発行日 | 2025-04-01 |
| 出版物タイトル | European Journal of Orthopaedic Surgery & Traumatology |
| 巻 | 35巻 |
| 号 | 1号 |
| 出版者 | Springer Science and Business Media LLC |
| 開始ページ | 141 |
| ISSN | 1432-1068 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © The Author(s) 2025 |
| 論文のバージョン | publisher |
| PubMed ID | 40167819 |
| DOI | 10.1007/s00590-025-04260-1 |
| Web of Science KeyUT | 001459451400002 |
| 関連URL | isVersionOf https://doi.org/10.1007/s00590-025-04260-1 |
| JaLCDOI | 10.18926/interdisciplinary/68625 |
|---|---|
| タイトル（別表記） | Practicing the Innovation Loop: 2024 Report on Advanced Hospital Practicums and Future Challenges |
| フルテキストURL | interdisciplinary_5_39.pdf |
| 著者 | 原田 奈穂子| 髙橋 智| 森 友明| 日笠 晴香| 宍戸 圭介| 曲 正樹| 渡邉 豊彦| Wang, Jin| 森田 瑞樹| |
| 出版物タイトル | 統合科学 |
| 発行日 | 2025-03-31 |
| 巻 | 5巻 |
| 開始ページ | 39 |
| 終了ページ | 45 |
| ISSN | 2436-3227 |
| 言語 | 日本語 |
| 論文のバージョン | publisher |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Nishii, Naoko| Kawai, Tomoko| Yasuoka, Hiroki| Abe, Tadashi| Tatsumi, Nanami| Harada, Yuika| Miyaji, Takaaki| Li, Shunai| Tsukano, Moemi| Watanabe, Masami| Ogawa, Daisuke| Wada, Jun| Takei, Kohji| Yamada, Hiroshi| |
| キーワード | VGLUT3 glutamate podocyte glutamatergic transmission |
| 発行日 | 2025-03-11 |
| 出版物タイトル | International Journal of Molecular Sciences |
| 巻 | 26巻 |
| 号 | 6号 |
| 出版者 | MDPI |
| 開始ページ | 2485 |
| ISSN | 1661-6596 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © 2025 by the authors. |
| 論文のバージョン | publisher |
| PubMed ID | 40141129 |
| DOI | 10.3390/ijms26062485 |
| Web of Science KeyUT | 001452693900001 |
| 関連URL | isVersionOf https://doi.org/10.3390/ijms26062485 |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Fujii, Yuki| Matsumoto, Kazuyuki| Ochi, Kiyoaki| Himei, Hitomi| Sakakihara, Ichiro| Ueta, Eijiro| Toyokawa, Tatsuya| Harada, Ryo| Ogawa, Taiji| Tomoda, Takeshi| Kato, Hironari| Sato, Ryosuke| Obata, Taisuke| Matsumi, Akihiro| Miyamoto, Kazuya| Uchida, Daisuke| Horiguchi, Shigeru| Tsutsumi, Koichiro| Otsuka, Motoyuki| |
| キーワード | clipping closure delayed bleeding endoscopic papillectomy |
| 発行日 | 2025 |
| 出版物タイトル | Therapeutic Advances in Gastroenterology |
| 巻 | 18巻 |
| 出版者 | SAGE Publications |
| ISSN | 1756-2848 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © The Author(s), 2025. |
| 論文のバージョン | publisher |
| PubMed ID | 40104325 |
| DOI | 10.1177/17562848251326450 |
| Web of Science KeyUT | 001447404800001 |
| 関連URL | isVersionOf https://doi.org/10.1177/17562848251326450 |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Ohashi, Ayaka| Sakamoto, Hirotaka| Kuroda, Junpei| Kondo, Yohei| Kamei, Yasuhiro| Nonaka, Shigenori| Furukawa, Saya| Yamamoto, Sakiya| Satoh, Akira| |
| 発行日 | 2025-02-24 |
| 出版物タイトル | Nature Communications |
| 巻 | 16巻 |
| 号 | 1号 |
| 出版者 | Nature Portfolio |
| 開始ページ | 1757 |
| ISSN | 2041-1723 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © The Author(s) 2025 |
| 論文のバージョン | publisher |
| PubMed ID | 39994199 |
| DOI | 10.1038/s41467-025-57055-7 |
| Web of Science KeyUT | 001430168800025 |
| 関連URL | isVersionOf https://doi.org/10.1038/s41467-025-57055-7 |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Hisano, Hiroshi| Sakai, Hiroaki| Hamaoka, Mika| Munemori, Hiromi| Abe, Fumitaka| Meints, Brigid| Sato, Kazuhiro| Hayes, Patrick M.| |
| キーワード | Hordeum vulgare Covered (hulled) Naked (hull-less) Genome editing CRISPR/Cas9 Transformation amenability |
| 発行日 | 2025-03-07 |
| 出版物タイトル | Molecular Breeding |
| 巻 | 45巻 |
| 号 | 3号 |
| 出版者 | Springer Science and Business Media LLC |
| 開始ページ | 32 |
| ISSN | 1380-3743 |
| NCID | AA1104032X |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © The Author(s) 2025 |
| 論文のバージョン | publisher |
| PubMed ID | 40061124 |
| DOI | 10.1007/s11032-025-01553-5 |
| Web of Science KeyUT | 001439388700001 |
| 関連URL | isVersionOf https://doi.org/10.1007/s11032-025-01553-5 |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Kato, Kosuke| Akamatsu, Miki| Kakimaru, Saya| Koreishi, Mayuko| Takagi, Masahiro| Miyashita, Masahiro| Murata, Yoshiyuki| Nakamura, Yoshimasa| Satoh, Ayano| Tsujino, Yoshio| |
| キーワード | AhR Xenobiotic responsive element StemRegenin 1 ARNT Atopic dermatitis Artemin |
| 発行日 | 2025-03 |
| 出版物タイトル | Food and Chemical Toxicology |
| 巻 | 197巻 |
| 出版者 | Elsevier BV |
| 開始ページ | 115301 |
| ISSN | 0278-6915 |
| NCID | AA10627174 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © 2025 The Authors. |
| 論文のバージョン | publisher |
| PubMed ID | 39923831 |
| DOI | 10.1016/j.fct.2025.115301 |
| Web of Science KeyUT | 001427591400001 |
| 関連URL | isVersionOf https://doi.org/10.1016/j.fct.2025.115301 |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Ooba, Hikaru| Maki, Jota| Masuyama, Hisashi| |
| キーワード | Perinatal mental disorders Voice analysis Machine learning Screening Pregnant women |
| 発行日 | 2025-02-08 |
| 出版物タイトル | Discover Mental Health |
| 巻 | 5巻 |
| 号 | 1号 |
| 出版者 | Springer Nature |
| 開始ページ | 12 |
| ISSN | 2731-4383 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © The Author(s) 2025 |
| 論文のバージョン | publisher |
| PubMed ID | 39920468 |
| DOI | 10.1007/s44192-025-00138-0 |
| Web of Science KeyUT | 001415532800001 |
| 関連URL | isVersionOf https://doi.org/10.1007/s44192-025-00138-0 |
| JaLCDOI | 10.18926/AMO/68356 |
|---|---|
| フルテキストURL | 79_1_031.pdf |
| 著者 | Maeda, Shigeru| Pimkhaokham, Atiphan| Yoshida, Michihiro| Hosoi, Hiroki| Ohshima, Ayako| Kurisu, Ryoko| Utsumi, Nozomi| Higuchi, Hitoshi| Miyawaki, Takuya| |
| 抄録 | We retrospectively analyzed the safety of the use of articaine, an amide-type local anesthetic, in Japanese dental patients (n=300) treated in Thailand in 2015-2017. The dosage, adverse events (AEs) caused by local anesthesia, and treatment efficacy were examined. Articaine, which is safe for patients with liver impairments due to its unique metabolism, has not been thoroughly tested in Japan for doses above 5.1 mL. Eighty of the present patients had undergone root canal treatment (RCT), 71 underwent tooth extraction, and 149 underwent implant-related surgery. More than three articaine cartridges were used in 41 patients, and no AEs occurred in these cases. The only AE occurred in a 52-year-old woman who was treated with three cartridges and presented with what appeared to be hyperventilation syndrome; she later recovered and received her dental treatment as scheduled. Most treatments were completed with three or fewer cartridges, suggesting that this number is generally sufficient. Our findings, particularly the low AE risk even with doses exceeding three cartridges, support the potential applicability of the overseas recommended maximum dose of articaine (7 mg/kg) in Japanese patients. This conclusion is significant for advancing dental anesthetic practices and ensuring patient safety and treatment efficacy in Japan. |
| キーワード | dental anesthesia local anesthesia drug-related side effect adverse reaction |
| Amo Type | Original Article |
| 出版物タイトル | Acta Medica Okayama |
| 発行日 | 2025-02 |
| 巻 | 79巻 |
| 号 | 1号 |
| 出版者 | Okayama University Medical School |
| 開始ページ | 31 |
| 終了ページ | 37 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| 著作権者 | Copyright Ⓒ 2025 by Okayama University Medical School |
| 論文のバージョン | publisher |
| 査読 | 有り |
| PubMed ID | 40012157 |
| Web of Science KeyUT | 001440463800004 |
| JaLCDOI | 10.18926/AMO/68355 |
|---|---|
| フルテキストURL | 79_1_021.pdf |
| 著者 | Yamamoto, Yasuhiro| Haraguchi, Takafumi| Matsuda, Kaori| Okazaki, Yoshio| Kimoto, Shin| Tanji, Nozomu| Matsumoto, Atsushi| Kobayashi, Yasuyuki| Mimura, Hidefumi| Hiraki, Takao| |
| 抄録 | We developed a machine learning model for predicting prostate cancer (PCa) grades using radiomic features of magnetic resonance imaging. 112 patients diagnosed with PCa based on prostate biopsy between January 2014 and December 2021 were evaluated. Logistic regression was used to construct two prediction models, one using radiomic features and prostate-specific antigen (PSA) values (Radiomics model) and the other Prostate Imaging-Reporting and Data System (PI-RADS) scores and PSA values (PI-RADS model), to differentiate high-grade (Gleason score [GS] ≥ 8) from intermediate or low-grade (GS < 8) PCa. Five imaging features were selected for the Radiomics model using the Gini coefficient. Model performance was evaluated using AUC, sensitivity, and specificity. The models were compared by leave-one-out cross-validation with Ridge regularization. Furthermore, the Radiomics model was evaluated using the holdout method and represented by a nomogram. The AUC of the Radiomics and PI-RADS models differed significantly (0.799, 95% CI: 0.712-0.869; and 0.710, 95% CI: 0.617-0.792, respectively). Using holdout method, the Radiomics model yielded AUC of 0.778 (95% CI: 0.552-0.925), sensitivity of 0.769, and specificity of 0.778. It outperformed the PI-RADS model and could be useful in predicting PCa grades, potentially aiding in determining appropriate treatment approaches in PCa patients. |
| キーワード | prostate cancer machine learning prostate Imaging-Reporting and Data System radiomics Gleason score |
| Amo Type | Original Article |
| 出版物タイトル | Acta Medica Okayama |
| 発行日 | 2025-02 |
| 巻 | 79巻 |
| 号 | 1号 |
| 出版者 | Okayama University Medical School |
| 開始ページ | 21 |
| 終了ページ | 30 |
| ISSN | 0386-300X |
| NCID | AA00508441 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| 著作権者 | Copyright Ⓒ 2025 by Okayama University Medical School |
| 論文のバージョン | publisher |
| 査読 | 有り |
| PubMed ID | 40012156 |
| Web of Science KeyUT | 001440463800003 |
| レファレンス | Taitt HE: Global Trends and Prostate Cancer: A Review of Incidence, Detection, and Mortality as Influenced by Race, Ethnicity, and Geographic Location. Am J Mens Health (2018) 12: 1807-1823.| Rawla P: Epidemiology of Prostate Cancer. World J Oncol (2019) 10: 63-89.| Gong L, Xu M, Fang M, Zou J, Yang S, Yu X, Xu D, Zhou L, Li H, He B, Wang Y, Fang X, Dong D and Tian J: Noninvasive Prediction of High-Grade Prostate Cancer via Biparametric MRI Radiomics. J Magn Reson Imaging (2020) 52: 1102-1109.| Epstein JI, Zelefsky MJ, Sjoberg DD, Nelson JB, Egevad L, Magi-Galluzzi C, Vickers AJ, Parwani AV, Reuter VE, Fine SW, Eastham JA, Wiklund P, Han M, Reddy CA, Ciezki JP, Nyberg T and Klein EA: A Contemporary Prostate Cancer Grading System: A Validated Alternative to the Gleason Score. Eur Urol (2016) 69: 428-435.| Carroll PH and Mohler JL: NCCN Guidelines Updates: Prostate Cancer and Prostate Cancer Early Detection. J Natl Compr Canc Netw (2018) 16: 620-623.| Miyake H, Sakai I, Inoue TA, Hara I and Fujisawa M: The limited significance of a longer duration of neoadjuvant hormonal therapy prior to radical prostatectomy for high-risk prostate cancer in Japanese men. Urol Int (2006) 77: 122-126.| Hassan O, Han M, Zhou A, Paulk A, Sun Y, Al-Harbi A, Alrajjal A, Baptista Dos Santos F and Epstein JI: Incidence of Extraprostatic Extension at Radical Prostatectomy with Pure Gleason Score 3+3=6 (Grade Group 1) Cancer: Implications for Whether Gleason Score 6 Prostate Cancer Should be Renamed “Not Cancer” and for Selection Criteria for Active Surveillance. J Urol (2018) 199: 1482-1487.| Albers LF, Korving JC, van Elzakker EPM and Roshani H: Osteomyelitis of the Pubic Symphysis After Transrectal Biopsies of the Prostate. Urology (2018) 121: 29-32.| van der Leest M, Cornel E, Israël B, Hendriks R, Padhani AR, Hoogenboom M, Zamecnik P, Bakker D, Setiasti AY, Veltman J, van den Hout H, van der Lelij H, van Oort I, Klaver S, Debruyne F, Sedelaar M, Hannink G, Rovers M, Hulsbergen-van de Kaa C and Barentsz JO: Head-to-head Comparison of Transrectal Ultrasound-guided Prostate Biopsy Versus Multiparametric Prostate Resonance Imaging with Subsequent Magnetic Resonance-guided Biopsy in Biopsy-naïve Men with Elevated Prostate-specific Antigen: A Large Prospective Multicenter Clinical Study. Eur Urol (2019) 75: 570-578.| Borghesi M, Ahmed H, Nam R, Schaeffer E, Schiavina R, Taneja S, Weidner W and Loeb S: Complications After Systematic, Random, and Image-guided Prostate Biopsy. Eur Urol (2017) 71: 353-365.| Rajkomar A, Dean J and Kohane I: Machine Learning in Medicine. N Engl J Med (2019) 380: 1347-1358.| Cuocolo R, Cipullo MB, Stanzione A, Ugga L, Romeo V, Radice L, Brunetti A and Imbriaco M: Machine learning applications in prostate cancer magnetic resonance imaging. Eur Radiol Exp (2019) 3: 35.| Sun Y, Reynolds HM, Parameswaran B, Wraith D, Finnegan ME, Williams S and Haworth A: Multiparametric MRI and radiomics in prostate cancer: a review. Australas Phys Eng Sci Med (2019) 42: 3-25.| Schelb P, Kohl S, Radtke JP, Wiesenfarth M, Kickingereder P, Bickelhaupt S, Kuder TA, Stenzinger A, Hohenfellner M, Schlemmer HP, Maier-Hein KH and Bonekamp D: Classification of Cancer at Prostate MRI: Deep Learning versus Clinical PI-RADS Assessment. Radiology (2019) 293: 607-617.| Antonelli M, Johnston EW, Dikaios N, Cheung KK, Sidhu HS, Appayya MB, Giganti F, Simmons LAM, Freeman A, Allen C, Ahmed HU, Atkinson D, Ourselin S and Punwani S: Machine learning classifiers can predict Gleason pattern 4 prostate cancer with greater accuracy than experienced radiologists. Eur Radiol (2019) 29: 4754-4764.| Bleker J, Kwee TC, Dierckx RAJO, de Jong IJ, Huisman H and Yakar D: Multiparametric MRI and auto-fixed volume of interest-based radiomics signature for clinically significant peripheral zone prostate cancer. Eur Radiol (2020) 30: 1313-1324.| Bagher-Ebadian H, Janic B, Liu C, Pantelic M, Hearshen D, Elshaikh M, Movsas B, Chetty IJ and Wen N: Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis. Front Oncol (2019) 9: 1313.| Chaddad A, Kucharczyk M and Niazi T: Multimodal radiomic features for the predicting gleason score of prostate cancer. Cancers (Basel) (2018) 10: 249.| Monti S, Brancato V, Costanzo GD, Basso L, Puglia M, Ragozzino A, Salvatore M and Cavaliere C: Multiparametric MRI for prostate cancer detection: New insights into the combined use of a radiomic approach with advanced acquisition protocol. Cancers (2020) 12: 390.| Turkbey B, Rosenkrantz AB, Haider MA, Padhani AR, Villeirs G, Macura KJ, Tempany CM, Choyke PL, Cornud F, Margolis DJ, Thoeny HC, Verma S, Barentsz J and Weinreb JC: Prostate Imaging Reporting and Data System Version 2.1: 2019 Update of Prostate Imaging Reporting and Data System Version 2. Eur Urol (2019) 76: 340-351.| Demšar J, Curk T, Erjavec A, Gorup Č, Hočevar T, Milutinovič M, Možina M, Polajnar M, Toplak M, Starič A and Štajdohar M: Orange: data mining toolbox in Python. J Mach Learn Res (2013) 14: 2349-2353.| Tilki D, van den Bergh RCN, Briers E, Van den Broeck T, Brunckhorst O, Darraugh J, Eberli D, De Meerleer G, De Santis M, Farolfi A, Gandaglia G, Gillessen S, Grivas N, Henry AM, Lardas M, JLH van Leenders G, Liew M, Linares Espinos E, Oldenburg J, van Oort IM, Oprea-Lager DE, Ploussard G, Roberts MJ, Rouvière O, Schoots IG, Schouten N, Smith EJ, Stranne J, Wiegel T, Willemse PM and Cornford P: EAU-EANM-ESTRO-ESUR-ISUP-SIOG Guidelines on Prostate Cancer-2024 Update. Part I: Screening, Diagnosis, and Local Treatment with Curative Intent. Eur Urol (2024) 29: 02306-6.| Khalvati F, Wong A and Haider MA: Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models. BMC Med Imaging (2015) 15: 27.| Kwak JT, Xu S, Wood BJ, Turkbey B, Choyke PL, Pinto PA, Wang S and Summers RM: Automated prostate cancer detection using T2-weighted and high-b-value diffusion-weighted magnetic resonance imaging. Med Phys (2015) 42: 2368-2378.| Zhao C, Gao G, Fang D, Li F, Yang X, Wang H, He Q and Wang X: The efficiency of multiparametric magnetic resonance imaging (mpMRI) using PI-RADS Version 2 in the diagnosis of clinically significant prostate cancer. Clin Imaging (2016) 40: 885-888.| Chen T, Li M, Gu Y, Zhang Y, Yang S, Wei C, Wu J, Li X, Zhao W and Shen J: Prostate Cancer Differentiation and Aggressiveness: Assessment With a Radiomic-Based Model vs. PI-RADS v2. J Magn Reson Imaging (2019) 49: 875-884.| Hegde JV, Mulkern RV, Panych LP, Fennessy FM, Fedorov A, Maier SE and Tempany CM: Multiparametric MRI of prostate cancer: an update on state-of-the-art techniques and their performance in detecting and localizing prostate cancer. J Magn Reson Imaging (2013) 37: 1035-1054.| Donati OF, Mazaheri Y, Afaq A, Vargas HA, Zheng J, Moskowitz CS, Hricak H and Akin O: Prostate cancer aggressiveness: assessment with whole-lesion histogram analysis of the apparent diffusion coefficient. Radiology (2014) 271: 143-152.| Chen T, Zhang Z, Tan S, Zhang Y, Wei C, Wang S, Zhao W, Qian X, Zhou Z, Shen J, Dai Y and Hu J: MRI Based Radiomics Compared With the PI-RADS V2.1 in the Prediction of Clinically Significant Prostate Cancer: Biparametric vs Multiparametric MRI. Front Oncol (2022) 11: 792456.| Zhang L, Zhe X, Tang M, Zhang J, Ren J, Zhang X and Li L: Predicting the Grade of Prostate Cancer Based on a Biparametric MRI Radiomics Signature. Contrast Media Mol Imaging (2021) 2021: 7830909.| Bagher-Ebadian H, Janic B, Liu C, Pantelic M, Hearshen D, Elshaikh M, Movsas B, Chetty IJ and Wen N: Detection of Dominant Intra-prostatic Lesions in Patients With Prostate Cancer Using an Artificial Neural Network and MR Multi-modal Radiomics Analysis. Front Oncol (2019) 9: 1313.| van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan RGH, Fillion-Robin JC, Pieper S and Aerts HJWL: Computational Radiomics System to Decode the Radiographic Phenotype. Cancer Res (2017) 77: e104-e107.| |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Matsumoto, Naomi| Mitsui, Takashi| Tamai, Kei| Hirota, Tomoya| Masuyama, Hisashi| Yorifuji, Takashi| |
| キーワード | Cesarean delivery Delivery methods Long-term outcome Child development Outcome-wide approach |
| 発行日 | 2025-01-20 |
| 出版物タイトル | Scientific Reports |
| 巻 | 15巻 |
| 号 | 1号 |
| 出版者 | Nature Portfolio |
| 開始ページ | 2485 |
| ISSN | 2045-2322 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © The Author(s) 2025 |
| 論文のバージョン | publisher |
| PubMed ID | 39833288 |
| DOI | 10.1038/s41598-025-87043-2 |
| Web of Science KeyUT | 001402008500024 |
| 関連URL | isVersionOf https://doi.org/10.1038/s41598-025-87043-2 |
| タイトル（別表記） | Elucidation of plant-bacterial pathogen interactions for the control of bacterial blight on cruciferous crops |
|---|---|
| フルテキストURL | srfa_114_021_025.pdf |
| 著者 | 坂田 七海| |
| 抄録 | Pseudomonas cannabina pv. alisalensis (Pcal), the causative agent of bacterial blight on cruciferous crops, is an economically important pathogen worldwide. We have conducted several studies on the interactions between plants and pathogenic bacteria to develop effective control strategies for this disease. Using forward and reverse genetics, we identified several virulence factors, including the type III secretion system, membrane transporters, transcriptional factors, and amino acid metabolism. Additionally, we emphasized the role of coronatine, a toxin produced by Pcal, which promotes stomatal reopening and suppresses salicylic acid accumulation in plants. We also examined plant defense mechanisms activated by one of the plant defense activators, acibenzolar-S-methyl (ASM). ASM enhanced stomatal-based defense, resulting in reduction of bacterial entry and disease development. Moreover, we explored innovative control strategies for bacterial disease and demonstrated that amino acids and cellulose nanofiber are efficient and environmentally friendly control strategies. These studies advance our understanding of plant-pathogen dynamics and offer promising, sustainable approaches for managing bacterial blight disease in cruciferous crops. |
| キーワード | Plant pathogenic bacteria Pseudomonas Cruciferous Plant protection Stomata |
| 出版物タイトル | 岡山大学農学部学術報告 |
| 発行日 | 2025-02-01 |
| 巻 | 114巻 |
| 開始ページ | 21 |
| 終了ページ | 25 |
| ISSN | 2186-7755 |
| 言語 | 日本語 |
| 論文のバージョン | publisher |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Izumi, Mahiro| Hagiya, Hideharu| Otsuka, Yuki| Soejima, Yoshiaki| Fukushima, Shinnosuke| Shibata, Mitsunobu| Hirota, Satoshi| Koyama, Toshihiro| Otsuka, Fumio| Gofuku, Akio| |
| キーワード | Infection prevention and control Medical-engineering collaboration |
| 発行日 | 2025-01 |
| 出版物タイトル | American Journal of Infection Control |
| 巻 | 53巻 |
| 号 | 1号 |
| 出版者 | Elsevier BV |
| 開始ページ | 65 |
| 終了ページ | 69 |
| ISSN | 0196-6553 |
| NCID | AA10617749 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © 2024 The Author(s). |
| 論文のバージョン | publisher |
| PubMed ID | 39127185 |
| DOI | 10.1016/j.ajic.2024.08.003 |
| Web of Science KeyUT | 001402079000001 |
| 関連URL | isVersionOf https://doi.org/10.1016/j.ajic.2024.08.003 |
| 著者 | Nakaoka, Minori| Fukuchi, Hibiki| Ogoshi, Maho| Aizawa, Sayaka| Takeuchi, Sakae| |
|---|---|
| キーワード | Feather Barbule Branching Chicken Yolk sac membrane Notochord |
| 備考 | © 2025 Elsevier B.V. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/| This fulltext file will be available in Jan. 2026.| |
| 発行日 | 2025-03-15 |
| 出版物タイトル | Gene |
| 巻 | 941巻 |
| 出版者 | Elsevier BV |
| 開始ページ | 149244 |
| ISSN | 0378-1119 |
| NCID | AA00654385 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © 2025 Elsevier B.V. |
| 論文のバージョン | author |
| PubMed ID | 39800195 |
| DOI | 10.1016/j.gene.2025.149244 |
| Web of Science KeyUT | 001398894500001 |
| 関連URL | isVersionOf https://doi.org/10.1016/j.gene.2025.149244 |
| タイトル（別表記） | Precision Medicine for Patients with Renal Cell Carcinoma Based on Drug-metabolizing Enzyme Expression Levels |
|---|---|
| フルテキストURL | fulltext.pdf |
| 著者 | 松本 准| |
| キーワード | renal cell carcinoma (RCC) kidney CYP uridine diphosphate glucose (UDP)-glucuronosyltransferase metabolism |
| 発行日 | 2025-01-01 |
| 出版物タイトル | YAKUGAKU ZASSHI |
| 巻 | 145巻 |
| 号 | 1号 |
| 出版者 | Pharmaceutical Society of Japan |
| 開始ページ | 7 |
| 終了ページ | 14 |
| ISSN | 0031-6903 |
| NCID | AN00284903 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 日本語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © 2025 公益社団法人日本薬学会 |
| 論文のバージョン | publisher |
| PubMed ID | 39756928 |
| DOI | 10.1248/yakushi.24-00166 |
| Web of Science KeyUT | 001392549800002 |
| 関連URL | isVersionOf https://doi.org/10.1248/yakushi.24-00166 |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Kuribayashi, Tadahiro| Kinoshita, Rie| Ninomiya, Kiichiro| Makimoto, Go| Kubo, Toshio| Rai, Kammei| Ichihara, Eiki| Hotta, Katsuyuki| Tabata, Masahiro| Maeda, Yoshinobu| Kiura, Katsuyuki| Toyooka, Shinichi| Sakaguchi, Masakiyo| Ohashi, Kadoaki| |
| キーワード | S100A8/A9 Lung cancer Immune checkpoint inhibitors |
| 備考 | The version of record of this article, first published in Scientific Reports, is available online at Publisher’s website: http://dx.doi.org/10.1038/s41598-025-87232-z| |
| 発行日 | 2025-01-20 |
| 出版物タイトル | Scientific Reports |
| 巻 | 15巻 |
| 号 | 1号 |
| 出版者 | Nature Portfolio |
| 開始ページ | 2577 |
| ISSN | 2045-2322 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © The Author(s) 2025 |
| 論文のバージョン | publisher |
| PubMed ID | 39833332 |
| DOI | 10.1038/s41598-025-87232-z |
| Web of Science KeyUT | 001400880600002 |
| 関連URL | isVersionOf https://doi.org/10.1038/s41598-025-87232-z |
| 著者 | Kondo, Shinya| Okamoto, Kazuki| Sakata, Osami| Teranishi, Takashi| Kishimoto, Akira| Nagasaki, Takanori| Yamada, Tomoaki| |
|---|---|
| 備考 | This fulltext file will be available in Jan. 2026.| |
| 発行日 | 2025-01-02 |
| 出版物タイトル | Applied Physics Letters |
| 巻 | 126巻 |
| 号 | 1号 |
| 出版者 | AIP Publishing |
| 開始ページ | 012901 |
| ISSN | 0003-6951 |
| NCID | AA00543431 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © 2025 Author(s). |
| 論文のバージョン | publisher |
| DOI | 10.1063/5.0244707 |
| Web of Science KeyUT | 001390832500001 |
| 関連URL | isVersionOf https://doi.org/10.1063/5.0244707 |
| フルテキストURL | fulltext.pdf |
|---|---|
| 著者 | Denno, Satoshi| Sugimoto, Takumi| Matoba, Koki| Hou, Yafei| |
| キーワード | overloaded MIMO spatial multiplexing QR-decomposition precoding overloading ratio |
| 発行日 | 2024-08-01 |
| 出版物タイトル | IEICE Transactions on Communications |
| 巻 | E108-B巻 |
| 号 | 1号 |
| 出版者 | Institute of Electrical and Electronics Engineers (IEEE) |
| 開始ページ | 1 |
| 終了ページ | 13 |
| ISSN | 1745-1345 |
| 資料タイプ | 学術雑誌論文 |
| 言語 | 英語 |
| OAI-PMH Set | 岡山大学 |
| 著作権者 | © 2025 The Institute of Electronics, Information and Communication Engineers |
| 論文のバージョン | publisher |
| DOI | 10.23919/transcom.2023ebn0001 |
| Web of Science KeyUT | 001390221500001 |
| 関連URL | isVersionOf https://doi.org/10.23919/transcom.2023ebn0001 |