Updated on 2025/06/27

Information

 

写真a

 
KUSUNOKI MASAOKI
 
Organization
Kyushu University Hospital Radiology Assistant Professor
School of Medicine Department of Medicine(Concurrent)
Title
Assistant Professor
Contact information
メールアドレス
Tel
0926411151
External link

Research Interests・Research Keywords

  • Research theme: Diagnosis of Brain Tumors Using Advanced PET and MR Imaging Techniques

    Keyword: PET, Methionine, CEST, APT, MRI, Brain tumor

    Research period: 2023.1

Papers

  • Diffuse glioma with FGFR3::TACC3 gene fusion and prominent calcification: A case report.

    Kusunoki M, Togao O, Yamashita K, Kikuchi K, Kuga D, Fujioka Y, Akamine S, Ishigami K

    Radiology case reports   20 ( 7 )   3540 - 3546   2025.7   ISSN:1930-0433

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    Language:English  

    DOI: 10.1016/j.radcr.2025.04.034

    PubMed

  • Integration of amide proton transfer-weighted imaging and methionine positron emission tomography histogram parameters enhances the prediction of isocitrate dehydrogenase mutations in adult diffuse gliomas

    Kusunoki, M; Isoda, T; Yamashita, K; Kitamura, Y; Kikuchi, K; Sando, M; Baba, S; Kuga, D; Fujioka, Y; Narutomi, F; Yoshimoto, K; Ishigami, K; Togao, O

    EJNMMI REPORTS   9 ( 1 )   13   2025.4   eISSN:3005-074X

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    Language:English   Publisher:Ejnmmi Reports  

    Background: To evaluate whether the combination of amide proton transfer-weighted imaging (APT-WI) and methionine positron emission tomography (MET-PET) enhances the non-invasive prediction of isocitrate dehydrogenase (IDH) mutation status in adult diffuse gliomas. Results: We retrospectively analysed 28 adult patients with histologically confirmed diffuse gliomas who underwent preoperative APT-WI and MET-PET imaging at our institution. Histogram analyses were conducted for both imaging modalities, extracting parameters such as the 10th, 50th, 70th, and 90th percentiles, mean, variance, skewness, and kurtosis. Parameters between IDH-mutant and IDH-wildtype gliomas were compared using the Mann–Whitney U test. Diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis, and combined models of the two parameters were constructed using multivariable logistic regression. IDH-wildtype gliomas exhibited significantly higher APT-WI 90th percentile (APT<inf>90</inf>) values (median: 3.51%, interquartile range [IQR]: 1.92–4.23%) compared to IDH-mutant gliomas (median: 2.24%, IQR: 1.52–2.85%, p = 0.039). Similarly, IDH-wildtype gliomas showed elevated MET-PET maximum tumour-to-normal ratios (TNR<inf>max</inf>) (median: 2.51, IQR: 2.13–3.41) compared to IDH-mutant gliomas (median: 1.62, IQR: 1.30–2.77, p = 0.020). ROC curve analysis indicated that the combined model of APT<inf>90</inf> and TNR kurtosis achieved an area under the curve of 0.85, demonstrating superior diagnostic accuracy compared to that of single-parameter models. Conclusions: Combining histogram-derived parameters from APT-WI and MET-PET significantly improves the diagnostic accuracy for predicting IDH mutation status in diffuse gliomas. This non-invasive approach may serve as a valuable adjunct for preoperative evaluation and the development of personalised treatment strategies in patients with gliomas.

    DOI: 10.1186/s41824-025-00248-6

    Web of Science

    Scopus

    PubMed

  • Papillary Glioneuronal Tumor Located in the Subcortical White Matter With a Purely Solid Pattern: A Case Report.

    Hirata M, Togao O, Yamashita K, Kikuchi K, Kusunoki M, Narutomi F, Kuga D, Fujioka Y, Yoshimoto K, Ishigami K

    Cureus   17 ( 4 )   e82340   2025.4   ISSN:2168-8184

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    Language:English  

    DOI: 10.7759/cureus.82340

    PubMed

  • 特集 読影のお作法−連続画像スライスで追う中枢神経系疾患の診断− 腫瘍①:脳実質内腫瘍

    山下 孝二, 栂尾 理, 菊地 一史, 楠 正興, 石神 康生

    臨床画像   41 ( 3 )   314 - 324   2025.3   ISSN:09111069

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    Publisher:メジカルビュー社  

    DOI: 10.18885/ci.0000001998

    CiNii Research

  • The cortical high-flow sign in oligodendroglioma, IDH-mutant and 1p/19q-codeleted is correlated with histological cortical vascular density

    Yamashita, K; Murayama, R; Itoyama, M; Kikuchi, K; Kusunoki, M; Kuga, D; Hatae, R; Fujioka, Y; Otsuji, R; Fujita, N; Yoshimoto, K; Ishigami, K; Togao, O

    NEURORADIOLOGY   67 ( 2 )   291 - 298   2025.1   ISSN:0028-3940 eISSN:1432-1920

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    Language:English   Publisher:Neuroradiology  

    Background and purpose: The cortical high-flow sign has been more commonly reported in oligodendroglioma, IDH-mutant and 1p/19q-codeleted (ODG IDHm-codel) compared to diffuse glioma with IDH-wildtype or astrocytoma, IDH-mutant. Besides tumor types, higher grades of glioma might also contribute to the cortical high flow. Therefore, we investigated whether the histological cortical vascular density or CNS WHO grade was associated with the cortical high-flow sign in patients with ODG IDHm-codel. Materials and methods: This retrospective study consisted of pathologically confirmed 25 adult patients with ODG IDHm-codel. We implemented pseudo-continuous arterial spin labeling technique with background suppression. Subtraction images were generated from paired control and label images. Tumor-affecting cortices without intense contrast enhancement on conventional MR imaging were targeted for the determination of the cortical high-flow sign. Immunohistochemical staining of CD31 antibody was performed for the identification of vascular endothelial cells. A microscopic field of the most intense vascularization was captured in each specimen. The vessel number and the relative vascular density (%Vessel) were compared between the positive cortical high-flow sign (CHFS<sup>+</sup>) and the negative cortical high-flow sign (CHFS<sup>−</sup>) groups using the Mann–Whitney U test. Second, Fisher’s exact test was used to compare the difference between the presence or absence of cortical high-flow sign and CNS WHO grades. Finally, the vessel number and %Vessel were compared between the CNS WHO grade 2 and grade 3 using the Mann–Whitney U test. Results: The vessel number and %Vessel were higher in patients with the CHFS<sup>+</sup> group than in patients with CHFS<sup>−</sup> group (p = 0.016 and p = 0.005, respectively). We observed no significant differences (p = 1.00) in the frequency of cortical high-flow sign between the CNS WHO grade 2 and grade 3. In addition, no significant differences are found in the vessel number and %Vessel between the CNS WHO grade 2 and grade 3 (p = 0.121 and p = 0.475, respectively). Conclusion: The cortical high-flow sign on ASL, which is more commonly found in ODG IDHm-codel than in diffuse glioma with IDH-wildtype or astrocytoma, is associated with the histological cortical vascular density in patients with ODG IDHm-codel.

    DOI: 10.1007/s00234-024-03538-1

    Web of Science

    Scopus

    PubMed

  • A deep learning-based approach for the diagnosis of adrenal adenoma: a new trial using CT

    Kusunoki, M; Nakayama, T; Nishie, A; Yamashita, Y; Kikuchi, K; Eto, M; Oda, Y; Ishigami, K

    BRITISH JOURNAL OF RADIOLOGY   95 ( 1135 )   20211066   2022   ISSN:0007-1285 eISSN:1748-880X

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    Language:English   Publisher:British Journal of Radiology  

    Objective: To develop and validate deep convolutional neural network (DCNN) models for the diagnosis of adrenal adenoma (AA) using CT. Methods: This retrospective study enrolled 112 patients who underwent abdominal CT (non-contrast, early, and delayed phases) with 107 adrenal lesions (83 AAs and 24 non-AAs) confirmed pathologically and with 8 lesions confirmed by follow-up as metastatic carcinomas. Three patients had adrenal lesions on both sides. We constructed six DCNN models from six types of input images for comparison: non-contrast images only (Model A), delayed phase images only (Model B), three phasic images merged into a 3-channel (Model C), relative washout rate (RWR) image maps only (Model D), non-contrast and RWR maps merged into a 2-channel (Model E), and delayed phase and RWR maps merged into a 2-channel (Model F). These input images were prepared manually with cropping and registration of CT images. Each DCNN model with six convolutional layers was trained with data augmentation and hyperparameter tuning. The optimal threshold values for binary classification were determined from the receiveroperating characteristic curve analyses. We adopted the nested cross-validation method, in which the outer fivefold cross-validation was used to assess the diagnostic performance of the models and the inner fivefold cross-validation was used to tune hyperparameters of the models. Results: The areas under the curve with 95% confidence intervals of Models A–F were 0.94 [0.90, 0.98], 0.80 [0.69, 0.89], 0.97 [0.94, 1.00], 0.92 [0.85, 0.97], 0.99 [0.97, 1.00] and 0.94 [0.86, 0.99], respectively. Model E showed high area under the curve greater than 0.95. Conclusion: DCNN models may be a useful tool for the diagnosis of AA using CT. Advances in knowledge: The current study demonstrates a deep learning-based approach could differentiate adrenal adenoma from non-adenoma using multiphasic CT.

    DOI: 10.1259/bjr.20211066

    Web of Science

    Scopus

    PubMed

  • Differentiation of high-grade from low-grade diffuse gliomas using diffusion-weighted imaging: a comparative study of mono-, bi-, and stretched-exponential diffusion models.

    Kusunoki M, Kikuchi K, Togao O, Yamashita K, Momosaka D, Kikuchi Y, Kuga D, Hata N, Mizoguchi M, Iihara K, Suzuki SO, Iwaki T, Akamine Y, Hiwatashi A

    Neuroradiology   62 ( 7 )   815 - 823   2020.7   ISSN:0028-3940

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    Language:English  

    DOI: 10.1007/s00234-020-02456-2

    PubMed

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Presentations

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MISC

Professional Memberships

  • 日本医学放射線学会

Academic Activities

  • Screening of academic papers

    Role(s): Peer review

    2023

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    Type:Peer review 

    Number of peer-reviewed articles in foreign language journals:2

Research Projects

  • メチオニンPETとAPTイメージングの統合による新たな脳腫瘍診断方法の開発

    Grant number:24K10763  2024.4 - 2027.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    楠 正興, 北村 宜之, 三道 幹大, 磯田 拓郎, 栂尾 理, 山田 明史, 石神 康生

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    Grant type:Scientific research funding

    脳腫瘍の特異なアミノ酸代謝を画像化するメチオニンPET(Positron Emission Tomography) は、腫瘍の進展範囲や再発診断などにその有用性が報告されてきた。しかしながら、現時点で主流である静的撮像法(Static Imaging)による術前の腫瘍悪性度の正確な評価は困難とされており、依然発展途上の課題である。本研究では、動的撮像法(Dynamic imaging)により新たな診断パラメータを探索し、これを先進的な分子イメージング技術であるAPT (Amide Proton Transfer)イメージングと統合することで、この課題を克服し悪性度評価の精度向上を目的とする。

    CiNii Research

  • 左心補助人工心臓装着に伴う感染症に対するFDG-PET/CTを用いた新たな診断方法の確立

    Grant number:23K07182  2023.4 - 2026.3

    Grants-in-Aid for Scientific Research  Grant-in-Aid for Scientific Research (C)

    北村 宜之, 磯田 拓郎, 楠 正興, 三道 幹大, 山田 明史, 馬場 眞吾, 石神 康生

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    Grant type:Scientific research funding

    左室補助人工心臓(LVAD)の装着が必要となっている患者さんにおいて、LVAD装着後の合併症の一つである装着部の感染症があるが、CT検査など従来の画像検査ではその診断が困難である。本研究では、核医学を用いた検査の一つで、すでに国内でも広く利用されているFDG(F-18 Fluorodeoxyglucose)を用いた検査(FDG-PET/CT)をLVAD装着後の患者さんに行い、検査結果を詳しく調べることで、LVAD装着後感染症の診断に有用な画像診断法を確立する。

    CiNii Research

Specialized clinical area

  • Biology / Medicine, Dentistry and Pharmacy / Internal Medicine / Radiology

Clinician qualification

  • Specialist

    Japan Radiological Society(JRS)

Year of medical license acquisition

  • 2015