Graduate School of Medicine
医学専攻
日本語
Update date：2024/12/16
Assistant Professor
Matsuda Takuya

Degree

  1. Medical Doctor (M.D.)Ehime University2007/09
  2. Doctor of Philosophy (Ph.D.)Ehime University Graduate School Of Medicine2015/03

Research Areas

Research Interests

  1. Cardiac CT
  2. Artificial Intelligence

Research Projects

  1. Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research Grant-in-Aid for Scientific Research (C)Development of new method for differentiating benign and malignant breast lesions using synthetic MRI and artificial intelligenceGrant-in-Aid for Scientific Research (C)2022/04-2026/03
  2. Japan Society for the Promotion of ScienceGrants-in-Aid for Scientific Research Grant-in-Aid for Early-Career ScientistsIndex of coronary artery blood flow from dynamic CT perfusion image using 3D voxel-tracking techniqueGrant-in-Aid for Early-Career Scientists2021/04-2024/03本研究は過去に行ったダイナミックCTP研究の症例を対象とするため、対象となる症例の整理を予備的に行った。ダイナミックCTP撮影の他に、虚血のゴールドスタンダードとなる他検査の結果も併せて確認する必要があった。他検査については侵襲的FFRが望ましかったが、３枝全体に行われないことも多いため、心筋核医学検査に対象を広げて検査結果を確認し直している。 一部の症例では、当院で撮影したダイナミックCTP検査のうち、本研究の解析に冠動脈全体が同じ時相で含まれるかどうかを複数のCT機器の症例で予備的に確認した。シャトルモード撮影は不適であることや、本来の目的は心筋がターゲットとする撮像であったため冠動脈全体が含まれない場合があることを確認した。冠動脈全体が含まれる症例についてはトライアル的に画像処理を行い、計測方法や指標の算出手法の確認・整理を行ったが、確認できた症例数が少ないため引き続き作業を継続している。この計測の中では末梢の血管についてはROIのサイズ設定やトラッキングについて近位部に比べてより難しい場合があった。計測位置については再現性を担保する定義は難しいが、前処理に時間がかかるため、測定時には簡便性をもたせたいと考えている。 過去のダイナミックCTP研究で撮像した症例を後ろ向きに解析するため、令和４年度４月からの改正個人情報保護法および人を対象とする生命科学・医学系研究に関する倫理指針に違反していないことについて確認を進めている。
  3. 日本学術振興会科学研究費助成事業 基盤研究(C)超多列化CTを駆使した低侵襲・低被曝心筋血流定量評価法の開発と応用基盤研究(C)2020/04-2023/03初年度に撮影と画像再構成を行った30例において検証を実施した。得られた心位相画像を心電図上のＲ波間隔（RR間隔）を用いて10％刻みのデータで作成し、心筋における濃度時間曲線を作成した。従来の仮説では、拡張中期（RR間隔70％）を主体に心筋内微小循環血流が生じ、心筋内造影濃度上昇が最も大きく観測されることが期待されたが、実測データでは想定より早い心位相で心筋内血流充足が生じている可能性が示された。これは従来の表在冠動脈を中心とした侵襲的検査法では得られていない現象であり、非侵襲的に心筋内血流を観察できる超多列化CTのアドバンテージを示していることが期待される。心筋内血流はその絶対値と共に壁運動による心筋内圧の変化、相対的volume変動が生じることで、表在冠動脈と心筋内微小循環血流にズレが生じていることが予想され、血流情報と心筋形態情報を同時に観察できるCTにより新たな循環生理現象を示していると考えられた。 このことから、本研究で当初期待していた拡張中期(RR間隔70-90%)だけでなく、新たに収縮後期を加えた位相（RR間隔40-90%）での解析を追加することとした。そのため、解析位相画像データ量が従来の検討に比して2-3倍に増やす必要が生じた。そこで、解析機器等の環境を増設、心拍動による画質低下に対応できるエコー機器の導入、自動解析システム（心筋追従プログラム）の改修、解析精度向上に向けた画像再構成技術の導入などを実施する必要性が生じた。 一方、今回得られた知見は、従来推定されていた循環生理現象より複雑なメカニズムを有しており、近年問題とされている非狭窄性冠動脈疾患（INOCA）の原因究明にも結びつく可能性のある発見といえる。
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Papers

  1. Toward a unified understanding of drug-drug interactions: mapping Japanese drug codes to RxNorm concepts.2024/06/20Yukinobu Kawakami Takuya Matsuda Noriaki Hidaka Mamoru Tanaka Eizen KimuraJournal of the American Medical Informatics Association : JAMIA31/ 7, 1561-1568Research paper (scientific journal)10.1093/jamia/ocae094OBJECTIVES: Linking information on Japanese pharmaceutical products to global knowledge bases (KBs) would enhance international collaborative research and yield valuable insights. However, public access to mappings of Japanese pharmaceutical products that use international controlled vocabularies remains limited. This study mapped YJ codes to RxNorm ingredient classes, providing new insights by comparing Japanese and international drug-drug interaction (DDI) information using a case study methodology. MATERIALS AND METHODS: Tables linking YJ codes to RxNorm concepts were created using the application programming interfaces of the Kyoto Encyclopedia of Genes and Genomes and the National Library of Medicine. A comparative analysis of Japanese and international DDI information was thus performed by linking to an international DDI KB. RESULTS: There was limited agreement between the Japanese and international DDI severity classifications. Cross-tabulation of Japanese and international DDIs by severity showed that 213 combinations classified as serious DDIs by an international KB were missing from the Japanese DDI information. DISCUSSION: It is desirable that efforts be undertaken to standardize international criteria for DDIs to ensure consistency in the classification of their severity. CONCLUSION: The classification of DDI severity remains highly variable. It is imperative to augment the repository of critical DDI information, which would revalidate the utility of fostering collaborations with global KBs.
  2. Feasibility of Bone Mineral Density and Bone Microarchitecture Assessment Using Deep Learning With a Convolutional Neural Network2023/05Kazuki Yoshida Yuki Tanabe Hikaru Nishiyama Takuya Matsuda Hidetaka Toritani Takuya Kitamura Shinichiro Sakai Kunihiko Watamori Masaki Takao Eizen Kimura Teruhito KidoJOURNAL OF COMPUTER ASSISTED TOMOGRAPHY47/ 3, 467-474Research paper (scientific journal)10.1097/RCT.0000000000001437LIPPINCOTT WILLIAMS & WILKINSObjectivesWe evaluated the feasibility of using deep learning with a convolutional neural network for predicting bone mineral density (BMD) and bone microarchitecture from conventional computed tomography (CT) images acquired by multivendor scanners.MethodsWe enrolled 402 patients who underwent noncontrast CT examinations, including L1-L4 vertebrae, and dual-energy x-ray absorptiometry (DXA) examination. Among these, 280 patients (3360 sagittal vertebral images), 70 patients (280 sagittal vertebral images), and 52 patients (208 sagittal vertebral images) were assigned to the training data set for deep learning model development, the validation, and the test data set, respectively. Bone mineral density and the trabecular bone score (TBS), an index of bone microarchitecture, were assessed by DXA. BMDDL and TBSDL were predicted by deep learning with a convolutional neural network (ResNet50). Pearson correlation tests assessed the correlation between BMDDL and BMD, and TBSDL and TBS. The diagnostic performance of BMDDL for osteopenia/osteoporosis and that of TBSDL for bone microarchitecture impairment were evaluated using receiver operating characteristic curve analysis.ResultsBMD(DL) and BMD correlated strongly (r = 0.81, P < 0.01), whereas TBSDL and TBS correlated moderately (r = 0.54, P < 0.01). The sensitivity and specificity of BMDDL for identifying osteopenia or osteoporosis were 93% and 90%, and 100% and 94%, respectively. The sensitivity and specificity of TBSDL for identifying patients with bone microarchitecture impairment were 73% for all values.ConclusionsThe BMDDL and TBSDL derived from conventional CT images could identify patients who should undergo DXA, which could be a gatekeeper tool for detecting latent osteoporosis/osteopenia or bone microarchitecture impairment.
  3. Utility of synthetic MRI in predicting pathological complete response of various breast cancer subtypes prior to neoadjuvant chemotherapy.2022/11M Matsuda N Fukuyama T Matsuda S Kikuchi Y Shiraishi Y Takimoto Y Kamei M Kurata R Kitazawa T KidoClinical radiology77/ 11, 855-863Research paper (scientific journal)10.1016/j.crad.2022.06.019AIM: To evaluate the usefulness of synthetic magnetic resonance imaging (MRI) performed before the initiation of neoadjuvant chemotherapy (NAC) in predicting whether breast cancers can achieve a pathological complete response (pCR) after the completion of NAC. MATERIALS AND METHODS: This retrospective study investigated 37 consecutive patients with 39 breast cancers (pCR: 14, and non-pCR: 25) who underwent dynamic contrast-enhanced (DCE)-MRI and synthetic MRI before the initiation of NAC. Using synthetic MRI images, quantitative values (T1 and T2 relaxation times, proton density [PD] and their standard deviations [SD]) were obtained in breast lesions, before (Pre-T1, Pre-T2, Pre-PD, SD of Pre-T1, SD of Pre-T2, SD of Pre-PD) and after (Gd-T1, Gd-T2, Gd-PD, SD of Gd-T1, SD of Gd-T2, SD of Gd-PD) contrast agent injection. The aforementioned quantitative values and several morphological features that were identified on DCE-MRI were compared between pCR and non-pCR. RESULTS: Multivariate analyses revealed that the SD of Pre-T2 (p=0.038) was significant and was an independent predictor of pCR, with an area under the receiver operating characteristics curve of 0.829. The sensitivity, specificity, and accuracy of the SD of Pre-T2 with an optimal cut-off value of 11.5 were 71.4%, 80%, and 76.3%, respectively. CONCLUSIONS: The SD of Pre-T2 obtained from synthetic MRI was used successfully to predict those breast cancers that would achieve a pCR after the completion of NAC; however, these results are preliminary and need to be verified by further studies.
  4. A machine learning approach to mapping drug entries on Japanese and U.S. Label documents.2022川上幸伸 松田卓也 高田春樹 飛鷹範明 田中守 木村映善日本医療情報学会春季学術大会プログラム・抄録集26th
  5. Usefulness of albumin-globulin ratio as a clinical prognostic factor in patients with thyroid cancer treated with radioiodine.2021/09Noriko Takata Masao Miyagawa Takuya Matsuda Masahiro Takakado Tomohisa Okada Naoto Kawaguchi Kenji Makita Hirofumi Ishikawa Shintaro Tsuruoka Kotaro Uwatsu Teruhito KidoAnnals of nuclear medicine35/ 9, 1015-1021Research paper (scientific journal)10.1007/s12149-021-01635-2OBJECTIVE: Albumin-globulin ratio (AGR), which is calculated by dividing serum albumin by serum globulin, is considered as a cancer-related inflammation biomarker. Although the prognosis of many solid cancers has been shown to be associated with AGR, there are no studies to demonstrate the association between the prognosis of thyroid cancer and AGR. The purpose of this study is to reveal the relationship between AGR and overall survival (OS) in patients with thyroid cancer who received radioactive iodine therapy (RIT). METHODS: Eighty-eight patients with thyroid cancer who had received RIT for the first time in our institution were included. The values before RIT were adopted as initial measurements for serum albumin, globulin, and thyroglobulin (Tg) and used for analysis. Patients were divided into two groups based on the AGR value. We analyzed the relationship between clinical factors and treatment outcome. RESULTS: The median follow-up period was 92.4 months (range: 30.1-173.9 months). The 5-year OS and progression-free survival (PFS) were 94% and 54%, respectively. Seventeen patients (< 65 years, 8; and ≥ 65 years, 9) died during the follow-up period. Low AGR was significantly associated with OS in both univariate and multivariate analyses (p = 0.0059 and p = 0.0120, respectively). As the 5-year OS was as high as 94%, there was no significant difference in survival rate between the two groups during the first 5 years. However, there seemed to be a remarkable difference in 10 years after the first RIT. On the other hand, Tg was significantly associated with PFS in both univariate and multivariate analyses (p = 0.0016 and p = 0.0441, respectively). In patients under the age of 65, the PFS rate was significantly lower in the low AGR group (p < 0.0001), while there was no difference in PFS rate between the two AGR groups in patients aged 65 years or older. CONCLUSIONS: AGR may be used as a prognostic factor in relatively younger patients with thyroid cancer treated with radioiodine, while it may be less useful in the older. Overall, it may be an independent prognostic factor for long-term survival in those with thyroid cancer.
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Presentations

  1. Assessment of Breast Lesion Boundary on Synthetic MRIThe 51st Annual Meeting of the Japanese Society for Magnetic Resonance in MedcinePoster presentation
  2. Predicting lung function from chest X-Ray image using deep learning method44th Fukuoka 2024 Joint Conference on Medical Informatics2024/11/23Poster presentation
  3. Evaluation of matching Japanese and U.S. drug labels using sentence embeddings第43回医療情報学連合大会（第24回日本医療情報学会学術大会）2023/11/25
  4. Feasibility study of machine learning for differentiation of benign and malignant Breast tumors using radiomics features of mapping images obtained from Synthetic MRI第42回医療情報学連合大会（第23回日本医療情報学会学術大会）2022/11/19Oral presentation(general)
  5. 国内外の医薬品情報データベースを用いた日米の医薬品コード間のマッピングの試みと日本と海外の薬物相互作用情報の比較第42回医療情報学連合大会（第23回日本医療情報学会学術大会）2022/11/19
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Awards

  1. Trainee Research PrizeCharacteristics of cardiac F-18 FDG accumulation on PET/CT in patients with atrial fibrillation.
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Allotted Class

  1. 2024Health Informatics
  2. 2024Nursing Practicum：Nursing for Daily living
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Teaching Experience

  1. Medical ElectronicsEhime University School of Medicine2020/04/01-present学部専門科目日本Medical Electronics and Medical Informatics
  2. RadiologyEhime University School of Medicine2018/04/01-present学部専門科目日本Radiology
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