TSUYOSHI Hideaki

FacultyObstetrics and Gynecology
Teacher OrganizationObstetrics and Gynecology
Education and
 Research Organization
University Hospital
PositionAssistant Professor
Last Updated: 19/05/15 13:42

Researcher Profile & Settings

Name

    TSUYOSHI Hideaki

Affiliation

  •  Obstetrics and Gynecology Assistant Professor

Research Activities

Published Papers

  • Protective effect of dienogest on chemotherapy-induced reduced fertility in female rats.
    H.Tsuyoshi, M.Orisaka, S.Fukuda, K.Hattori, BK.Tsang, Y.Yoshida
    Steroids 93 1-7 Jan.  2015 Refereed
  • Protective effect of dienogest on chemotherapy-induced reduced fertility in female rats
    Tsuyoshi, Hideaki;Orisaka, Makoto;Fukuda, Shin;Hattori, Katsushige;Tsang, Benjamin K.;Yoshida, Yoshio
    STEROIDS 93 1-7 2015
  • Mitochondrial dynamics regulating chemoresistance in gynecological cancers
    Kong, Bao;Tsuyoshi, Hideaki;Orisaka, Makoto;Shieh, Dar-Bin;Yoshida, Yoshio;Tsang, Benjamin K.;NY Acad Sci
    MITOCHONDRIAL RESEARCH IN TRANSLATIONAL MEDICINE 1350 1-16 2015
  • A Novel Diagnostic Strategy Using 16 alpha-[F-18]-Fluoro-17-beta-Estradiol (F-18-FES) PET/MRI to Achieve Complete Resection of Intravenous Leiomyomatosis in Reproductive-Age Women
    Chino, Yoko;Tsuyoshi, Hideaki;Tsujikawa, Tetsuya;Okazawa, Hidehiko;Yoshida, Yoshio
    CLINICAL NUCLEAR MEDICINE 42(7) E335-E336 Jul.  2017
  • (18)F-FDG PET radiomics approaches: comparing and clustering features in cervical cancer.
    Tsujikawa Tetsuya;Rahman Tasmiah;Yamamoto Makoto;Yamada Shizuka;Tsuyoshi Hideaki;Kiyono Yasushi;Kimura Hirohiko;Yoshida Yoshio;Okazawa Hidehiko
    Annals of nuclear medicine 2017
    OBJECTIVES:The aims of our study were to find the textural features on (18)F-FDG PET/CT which reflect the different histological architectures between cervical cancer subtypes and to make a visual assessment of the association between (18)F-FDG PET textural features in cervical cancer.;METHODS:Eighty-three cervical cancer patients [62 squamous cell carcinomas (SCCs) and 21 non-SCCs (NSCCs)] who had undergone pretreatment (18)F-FDG PET/CT were enrolled. A texture analysis was performed on PET/CT images, from which 18 PET radiomics features were extracted including first-order features such as standardized uptake value (SUV), metabolic tumor volume (MTV) and total lesion glycolysis (TLG), second- and high-order textural features using SUV histogram, normalized gray-level co-occurrence matrix (NGLCM), and neighborhood gray-tone difference matrix, respectively. These features were compared between SCC and NSCC using a Bonferroni adjusted P value threshold of 0.0028 (0.05/18). To assess the association between PET features, a heat map analysis with hierarchical clustering, one of the radiomics approaches, was performed.;RESULTS:Among 18 PET features, correlation, a second-order textural feature derived from NGLCM, was a stable parameter and it was the only feature which showed a robust trend toward significant difference between SCC and NSCC. Cervical SCC showed a higher correlation (0.70 ± 0.07) than NSCC (0.64 ± 0.07, P = 0.0030). The other PET features did not show any significant differences between SCC and NSCC. A higher correlation in SCC might reflect higher structural integrity and stronger spatial/linear relationship of cancer cells compared with NSCC. A heat map with a PET feature dendrogram clearly showed 5 distinct clusters, where correlation belonged to a cluster including MTV and TLG. However, the association between correlation and MTV/TLG was not strong. Correlation was a relatively independent PET feature in cervical cancer.;CONCLUSIONS:(18)F-FDG PET textural features might reflect the differences in histological architecture between cervical cancer subtypes. PET radiomics approaches reveal the association between PET features and will be useful for finding a single feature or a combination of features leading to precise diagnoses, potential prognostic models, and effective therapeutic strategies.

Conference Activities & Talks

  • FDG-PET/MRIを用いた婦人科腫瘍の診断能の検討
    津吉 秀昭
    第21回福井大学高エネルギー医学研究センター研究発表会 Feb.  2017