Authorship：Last author   Language：English  

DOI： 10.1007/s12553-025-01005-2

Web of Science

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Practical Radiation Oncology  

Purpose: We hypothesized that online adaptive radiation therapy (oART) could eliminate errors associated with interfractional deformation in gastric mucosa-associated lymphoid tissue (MALT) lymphoma, but errors in intrafractional deformation remained in 6 directions (anterior, posterior, superior, inferior, left, and right). This study aimed to quantify the anisotropic deformation errors of the clinical target volume (CTV) for MALT lymphoma using oART to determine deformations in the planning target volume (PTV) margins. Methods and Materials: Thirty fractional scans from 4 consecutive patients (a total of 120 cone beam computed tomography scans) with gastric MALT lymphoma treated with oART were chosen for this retrospective study. The CTV contours were manually delineated on the pretreatment and posttreatment cone beam computed tomography images. The center-of-mass matching of the CTVs was performed following the bone anatomy matching. Systematic and random errors of intrafractional deformations of the CTV were quantified using displacement vectors between the pretreatment and posttreatment CTV surfaces for each fraction. The PTV margins for oART were anisotropically calculated using the van Herk formula: 2.5Σ + 0.7σ, accounting for intrafractional errors. Results: For intrafractional deformation, the means of standard deviations of systematic errors ranged from 1.2 mm to 2.2 mm, whereas those of random errors ranged from 2.9 mm to 3.6 mm. The PTV margins were up to 13.1 mm in the inferior direction, whereas in other directions, they ranged from 9.7 mm to 12.8 mm. The PTV margin in integer achieved posttreatment CTV coverage for 90% of the fractions, with undercoverage volumes remaining below 0.6 cm³ in all fractions. Conclusions: This study suggests that the impact of intrafractional CTV deformation can not be eliminated even with oART. This highlights the need to set the appropriate anisotropic PTV margins.

DOI： 10.1016/j.prro.2025.05.008

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PubMed

Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

Language：Japanese   Publisher：MEDICAL IMAGING AND INFORMATION SCIENCES  

DOI： 10.11318/mii.42.xxxv

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)  

Web of Science

Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：(株)メディカ出版  

症例は40歳代女性で、頭痛、嘔吐、失語を主訴とした。15年前より小腸原発の消化管間質腫瘍(GIST)の治療中であり、主訴にて紹介入院し、頭部単純CTでは左中頭蓋窩に強い造影効果を伴う境界明瞭な高吸収域(48×36×47mm)と左前頭部の傍矢状洞部の病変(最大径14mm大)を認めた。MRIではT1で低信号から等信号、T2で等信号から高信号を呈する腫瘍と、腫瘍内のflow void、左中硬膜動脈の拡張、左側頭葉の広範な浮腫性変化、右側へ13mmの正中偏位と鉤ヘルニアを認め、入院2日目に開頭腫瘍摘出術を行った。術中迅速病理検査ではGISTの頭蓋内転移と診断され、病理標本と過去の肝転移標本の組織所見からGISTの脳転移と診断した。術後、失名詞失語症状は経時的に改善したが、術後8ヵ月目に局所再発をきたし、再手術後にも頭蓋内病変の再発を認め、頭蓋内転移診断後のOSは19ヵ月であった。

Language：English   Publisher：Clinical Lung Cancer  

The incidence of brain radiation necrosis is increasing in NSCLC patients undergoing radiotherapy for brain metastases. • [11C] methionine–PET and MRS are valuable tools for diagnosing brain radiation necrosis. • Bevacizumab is an effective treatment for brain radiation necrosis in patients with nonsquamous NSCLC.

DOI： 10.1016/j.cllc.2024.06.010

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PubMed

Language：English   Publisher：Neuro-Oncology Advances  

Background. Homozygous deletion of the tumor suppression genes cyclin‑dependent kinase inhibitor 2A/B (CDKN2A/B) is a strong adverse prognostic factor in IDH‑mutant gliomas, particularly astrocytoma. However, the impact of hemizygous deletion of CDKN2A/B is unknown. Furthermore, the influence of CDKN2A/B status in IDH‑ mutant and 1p/19q‑codeleted oligodendroglioma remains controversial. We examined the impact of CDKN2A/B status classification, including hemizygous deletions, on the prognosis of IDH‑mutant gliomas. Methods. We enrolled 101 adults with IDH‑mutant glioma between December 2002 and November 2021. CDKN2A/B deletion was evaluated with multiplex ligation‑dependent probe amplification (MLPA). Immunohistochemical anal‑ ysis of p16/MTAP and promoter methylation analysis with methylation‑specific MLPA was performed for cases with CDKN2A/B deletion. Kaplan − Meier plots and Cox proportion hazards model analyses were performed to evaluate the impact on overall (OS) and progression‑free survival. Results. Of 101 cases, 12 and 4 were classified as hemizygous and homozygous deletion, respectively. Immunohistochemistry revealed p16‑negative and MTAP retention in cases with hemizygous deletion, whereas homozygous deletions had p16‑negative and MTAP loss. In astrocytoma, OS was shorter in the order of homozy‑ gous deletion, hemizygous deletion, and copy‑neutral groups (median OS: 38.5, 59.5, and 93.1 months, respec‑ tively). Multivariate analysis revealed hazard ratios of 9.30 (P = .0191) and 2.44 (P = .0943) for homozygous and hemizygous deletions, respectively. Conclusions. CDKN2A/B hemizygous deletions exerted a negative impact on OS in astrocytoma. Immunohistochemistry of p16/MTAP can be utilized to validate hemizygous or homozygous deletions in combina‑ tion with conventional molecular diagnosis.

DOI： 10.1093/noajnl/vdae069

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PubMed

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Journal of Radiation Research  

The aim of this study was to investigate planning target volume (PTV) margin in online adaptive radiation therapy (oART) for gastric mucosa-associated lymphoid tissue (MALT) lymphomas. Four consecutive patients with gastric MALT lymphoma who received oART (30 Gy in 15 fractions) on the oART system were included in this study. One hundred and twenty cone-beam computed tomography (CBCT) scans acquired pre- and post-treatment of 60 fractions for all patients were used to evaluate intra- and interfractional motions. Patients were instructed on breath-holding at exhalation during image acquisition. To assess the intrafraction gastric motion, different PTVs were created by isotropically extending the CTV contoured on a pre-CBCT image (CTVpre) at1 mm intervals. Intrafraction motion was defined as the amount of expansion covering the contoured CTV on post-CBCT images (CTVpost). Interfractional motion was defined as the amount of reference CTV expansion that could cover each CTVpre, as well as the evaluation of the intrafractional motion. PTV margins were estimated from the cumulative proportion of fraction covering the intra- and interfractional motions. The extent of expansion covering the CTVs in 90% of fractions was adopted as the PTV margin. The PTV margin for intrafractional gastric motion using the oART system with breath-holding was 14 mm. In contrast, the PTV margin for interfractional gastric organ motion without the oART system was 25 mm. These results indicated that the oART system can reduce the PTV margin by >10 mm. Our results could be valuable data for oART cases.

DOI： 10.1093/jrr/rrae052

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PubMed

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Applied Sciences (Switzerland)  

This study aimed to propose an automated prediction approach of the consolidation tumor ratios (CTRs) of part-solid tumors of patients treated with radiotherapy on treatment planning computed tomography images using deep learning segmentation (DLS) models. For training the DLS model for cancer regions, a total of 115 patients with non-small cell lung cancer (NSCLC) who underwent stereotactic body radiation therapy were selected as the training dataset, including solid, part-solid, and ground-glass opacity tumors. For testing the automated prediction approach of CTRs based on segmented tumor regions, 38 patients with part-solid tumors were selected as an internal test dataset A (IN) from a same institute as the training dataset, and 49 patients as an external test dataset (EX) from a public database. The CTRs for part-solid tumors were predicted as ratios of the maximum diameters of solid components to those of whole tumors. Pearson correlations between reference and predicted CTRs for the two test datasets were 0.953 (IN) and 0.926 (EX) for one of the DLS models (p < 0.01). Intraclass correlation coefficients between reference and predicted CTRs for the two test datasets were 0.943 (IN) and 0.904 (EX) for the same DLS models. The findings suggest that the automated prediction approach could be robust in calculating the CTRs of part-solid tumors.

DOI： 10.3390/app14083275

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Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)   Publisher：(公社)日本放射線技術学会  

3次元CT(3DCT)及び4次元CT(4DCT)により定義された体内標的体積(ITV)の有効性を評価し、治療時における腫瘍の呼吸性移動と比較した。2017年2月～2019年4月に肺上葉に非小細胞肺癌を有する患者5名(男性3名、女性2名、77～86歳)に対して48Gyで4分割の体幹部定位放射線治療(SBRT)を実施した。治療計画用の3DCT画像は呼気ピーク時及び吸気ピーク時の息止めで取得し、4DCT画像は自由呼吸下でのシネモードで取得した。シネ画像は照射時に電子的放射線治療照合装置を用いて取得した。tumor coverageは左右、前後及び頭尾方向の照射時に治療計画CT画像上のピーク間呼吸振幅が腫瘍可動域(±3SD)をどのようにカバーしているか評価した。頭尾方向における4DCTベースのITVは3DCTベースのITVと比べて平均tumor coverageが良好であった。また、4DCT用に照射野を設定する場合には体内マージンを考慮する必要があった。

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Anticancer Research  

Background/aim: Radiomics, which links radiological image features with patient prognoses, is expected to be applied for the prediction of the clinical outcomes of radiotherapy. We investigated the clinical and radiomic factors associated with recurrence patterns after stereotactic body radiotherapy (SBRT) for non-small cell lung cancer (NSCLC).

Patients and methods: We retrospectively analyzed 125 patients with histologically confirmed NSCLC who underwent SBRT between April 2003 and June 2017 at our institution. A radiomic score was calculated from five radiomics features (histogram and texture features) selected using the LASSO Cox regression model. These features were extracted from the gross tumor volume (GTV) in three-dimensional wavelet decomposition CT images. We used univariate and multivariate analyses to determine the associations between local control (LC) time and metastasis-free survival (MFS), clinical factors (age, sex, performance status, operability, smoking, histology, and tumor diameter), and the radiomic score.

Results: With a median follow-up of 37 months, the following 3-year rates were observed: overall survival, 80.9%; progression-free survival, 61.7%; LC, 75.1%, and MFS; 74.5%. In multivariate analysis, histology (squamous cell carcinoma vs. non-squamous cell carcinoma, p=0.0045), tumor diameter (>3 cm vs. ≤3 cm, p=0.039); and radiomic score (>0.043 vs. ≤0.043, p=0.042) were significantly associated with LC, and the radiomic score (>0.304 vs. ≤0.304, p<0.001) was significantly associated with MFS.

Conclusion: Histology, tumor diameter, and radiomic score could be significant factors for predicting NSCLC recurrence patterns after SBRT.

DOI： 10.21873/anticanres.16699

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PubMed

Language：English  

DOI： 10.1016/j.annonc.2023.09.205

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Language：English   Publishing type：Research paper (scientific journal)  

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PubMed

Language：English   Publishing type：Research paper (scientific journal)   Publisher：BMC Cancer  

Background: Rhabdomyosarcoma is the most common soft tissue sarcoma in children, but rare in adults. Para-meningeal rhabdomyosarcoma in head and neck (PM-HNRMS) is less applicable for surgery due to the anatomic reason. PM-HNRMS has a poor prognosis in children. However, its clinical outcomes remain unclear in adults due to the rarity. Further, there is almost no detailed data about salvage therapy.

Methods: We retrospectively examined the adult patients with PM-HNRMS treated at institutions belonging to the Kyushu Medical Oncology Group from 2009 to 2022. We evaluated the overall survival (OS) and progression-free survival (PFS) of the patients who received a first-line therapy. We also reviewed the clinical outcomes of patients who progressed against a first-line therapy and received salvage therapy.

Results: Total 11 patients of PM-HNRMS received a first-line therapy. The characteristics were as follows: median age: 38 years (range 25 - 63 years), histology (alveolar/spindle): 10/1, and risk group (intermediate/high): 7/4. As a first-line therapy, VAC and ARST0431-based regimen was performed in 10 and 1 patients, respectively. During a first-line therapy, definitive radiation for all lesions were performed in seven patients. The median PFS was 14.2 months (95%CI: 6.0 - 25.8 months): 17.1 months (95%CI: 6.0 - not reached (NR)) for patients with stage I-III and 8.5 months (95%CI: 5.2 - 25.8 months) for patients with stage IV. The 1-year and 3-year PFS rates were 54.5% and 11.3% for all patients. Median OS in all patients was 40.8 months (95%CI: 12.1 months-NR): 40.8 months (95%CI: 12.1 - NR) for patients with stage I-III and NR for patients with stage IV. The 5-year OS rate was 48.5% for all patients. Among seven patients who received salvage therapy, three are still alive, two of whom remain disease-free for over 4 years after completion of the last therapy. Those two patients received multi-modal therapy including local therapy for all detected lesions.

Conclusion: The cure rate of adult PM-HNRMS is low in spite of a first-line therapy in this study. Salvage therapy might prolong the survival in patients who received the multi-modal therapy including local therapy for all detected lesions.

DOI： 10.1186/s12885-023-11528-4

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PubMed

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Physical and Engineering Sciences in Medicine  

This study aimed to investigate the robustness of a deep learning (DL) fusion model for low training-to-test ratio (TTR) datasets in the segmentation of gross tumor volumes (GTVs) in three-dimensional planning computed tomography (CT) images for lung cancer stereotactic body radiotherapy (SBRT). A total of 192 patients with lung cancer (solid tumor, 118; part-solid tumor, 53; ground-glass opacity, 21) who underwent SBRT were included in this study. Regions of interest in the GTVs were cropped based on GTV centroids from planning CT images. Three DL models, 3D U-Net, V-Net, and dense V-Net, were trained to segment the GTV regions. Nine fusion models were constructed with logical AND, logical OR, and voting of the two or three outputs of the three DL models. TTR was defined as the ratio of the number of cases in a training dataset to that in a test dataset. The Dice similarity coefficients (DSCs) and Hausdorff distance (HD) of the 12 models were assessed with TTRs of 1.00 (training data: validation data: test data = 40:20:40), 0.791 (35:20:45), 0.531 (31:10:59), 0.291 (20:10:70), and 0.116 (10:5:85). The voting fusion model achieved the highest DSCs of 0.829 to 0.798 for all TTRs among the 12 models, whereas the other models showed DSCs of 0.818 to 0.804 for a TTR of 1.00 and 0.788 to 0.742 for a TTR of 0.116, and an HD of 5.40 ± 3.00 to 6.07 ± 3.26 mm better than any single DL models. The findings suggest that the proposed voting fusion model is a robust approach for low TTR datasets in segmenting GTVs in planning CT images of lung cancer SBRT.

DOI： 10.1007/s13246-023-01295-8

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：The Japan Neurosurgical Society  

<p>We aimed to retrospectively determine the resection rate of fluid-attenuated inversion recovery (FLAIR) lesions to evaluate the clinical effects of supramaximal resection (SMR) on the survival of patients with glioblastoma (GBM). Thirty-three adults with newly diagnosed GBM who underwent gross total tumor resection were enrolled. The tumors were classified into cortical and deep-seated groups according to their contact with the cortical gray matter. Pre- and postoperative FLAIR and gadolinium-enhanced T1-weighted imaging tumor volumes were measured using a three-dimensional imaging volume analyzer, and the resection rate was calculated. To evaluate the association between SMR rate and outcome, we subdivided patients whose tumors were totally resected into the SMR and non-SMR groups by moving the threshold value of SMR in 10% increments from 0% and compared their overall survival (OS) change. An improvement in OS was observed when the threshold value of SMR was 30% or more. In the cortical group (n = 23), SMR (n = 8) tended to prolong OS compared with gross total resection (GTR) (n = 15), with the median OS of 69.6 and 22.1 months, respectively (p = 0.0945). Contrastingly, in the deep-seated group (n = 10), SMR (n = 4) significantly shortened OS compared with GTR (n = 6), with median OS of 10.2 and 27.9 months, respectively (p = 0.0221). SMR could help prolong OS in patients with cortical GBM when 30% or more volume reduction is achieved in FLAIR lesions, although the impact of SMR for deep-seated GBM must be validated in larger cohorts.</p>

DOI： 10.2176/jns-nmc.2022-0351

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CiNii Research

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1111/hepr.13908

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PubMed

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Interdisciplinary cardiovascular and thoracic surgery  

OBJECTIVES: Sarcopenia correlates with poor prognosis in various malignancies. However, the prognostic significance of sarcopenia remains to be determined in patients with non-small-cell lung cancer who undergo surgery after receiving neoadjuvant chemoradiotherapy (NACRT). METHODS: We retrospectively reviewed the patients with stage II/III non-small-cell lung cancer who underwent surgery following NACRT. The paravertebral skeletal muscle area (SMA) (cm2) at the 12th thoracic vertebra level was measured. We calculated the SMA index (SMAI) as SMA/squared height (cm2/m2). Patients were divided into low and high SMAI groups, and the association of SMAI with clinicopathological factors and prognosis was assessed. RESULTS: The patients' [men, 86 (81.1%)] median age was 63 (21-76) years. There were 106 patients including 2 (1.9%), 10 (9.4%), 74 (69.8%), 19 (17.9%) and 1 (0.9%) patients with stage IIA, IIB, IIIA, IIIB and IIIC, respectively. Of the patients, 39 (36.8%) and 67 (63.2%) were classified in the low and the high SMAI groups, respectively. Kaplan-Meier analysis showed that the low group had a significantly shorter overall survival and disease-free survival than the high group. Multivariable analysis identified low SMAI as an independent poor prognostic factor for overall survival. CONCLUSIONS: Pre-NACRT SMAI correlates with poor prognosis; therefore, assessing sarcopenia based on pre-NACRT SMAI may help determine optimal treatment strategies and suitable nutritional and exercise interventions.

DOI： 10.1093/icvts/ivad020

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Authorship：Corresponding author   Language：Japanese   Publishing type：Research paper (scientific journal)   Publisher：金原出版(株)  

70歳代男性。胸部中部食道癌に対する化学放射線療法から7ヵ月後、縦隔リンパ節再発が認められた。FP療法を1コース施行するも効果なく、重粒子線治療を施行したところ、奏効した。最終治療から5年以上経過現在、再発や重篤な有害事象はみられない。

Language：Japanese   Publisher：日本メディカルセンター  

DOI： 10.19020/cg.0000002324

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)   Publisher：Thoracic Cancer  

Background: This study aimed to explore the predictability of topological signatures linked to the locoregional relapse (LRR) and distant metastasis (DM) on pretreatment planning computed tomography images of stage I non-small cell lung cancer (NSCLC) patients before treatment with stereotactic ablative radiotherapy (SABR). Methods: We divided 125 primary stage I NSCLC patients (LRR: 34, DM: 22) into training (n = 60) and test datasets (n = 65), and the training dataset was augmented to 260 cases using a synthetic minority oversampling technique. The relapse predictabilities of the conventional wavelet-based features (WF), topology-based features [BF, Betti number (BN) map features; iBF, inverted BN map features], and their combined features (BWF, iBWF) were compared. The patients were stratified into high-risk and low-risk groups using the medians of the radiomics scores in the training dataset. Results: For the LRR in the test, the iBF, iBWF, and WF showed statistically significant differences (p < 0.05), and the highest nLPC was obtained for the iBF. For the DM in the test, the iBWF showed a significant difference and the highest nLPC. Conclusion: The iBF indicated the potential of improving the LRR and DM prediction of stage I NSCLC patients prior to undergoing SABR.

DOI： 10.1111/1759-7714.14483

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PubMed

Language：English   Publishing type：Research paper (scientific journal)  

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：World Neurosurgery  

Background: Controversies exist regarding the aggressive recurrence of glioblastoma after bevacizumab treatment. We analyzed the clinical impact of bevacizumab approval in Japan by evaluating the clinical course and relapse pattern in patients with glioblastoma. Methods: We included 100 patients with IDH-wild-type glioblastoma from September 2006 to February 2018 in our institution. The patients were classified into the pre-bevacizumab (n = 51) and post-bevacizumab (n = 49) groups. Overall, progression-free, deterioration-free, and postprogression survivals were compared. We analyzed the relapse pattern of 72 patients, whose radiographic progressions were evaluated. Results: Significant improvement in progression-free (pre-bevacizumab, 7.5 months; post-bevacizumab, 9.9 months; P = 0.0153) and deterioration-free (pre-bevacizumab, 8.5 months; post-bevacizumab, 13.8 months; P = 0.0046) survivals was seen. These survival prolongations were strongly correlated (r: 0.91, P < 0.0001). The nonenhancing tumor pattern was novel in the post-bevacizumab era (5 of 33). The presence of a nonenhancing tumor did not indicate poor postprogression survival (hazard ratio: 0.82 [0.26–2.62], P = 0.7377). The rate of early focal recurrence was significantly lower (P = 0.0155) in the post-bevacizumab (4 of 33) than in the pre-bevacizumab (18 of 39) era. There was a significant decrease in early focal recurrence after approval of bevacizumab in patients with unresectable tumors (P = 0.0110). The treatment era was significantly correlated with a decreased rate of early focal recurrence (P = 0.0021, univariate analysis; P = 0.0144, multivariate analysis). Conclusions: Approval of first-line bevacizumab in Japan for unresectable tumors may prevent early progression and clinical deterioration of glioblastoma without worsening the clinical course after relapse.

DOI： 10.1016/j.wneu.2021.12.075

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Language：English   Publishing type：Research paper (scientific journal)   Publisher：PLoS ONE  

Objectives We aimed to explore the synergistic combination of a topologically invariant Betti number (BN)-based signature and a biomarker for the accurate prediction of symptomatic (grade ≥2) radiation-induced pneumonitis (RP+) before stereotactic ablative radiotherapy (SABR) for lung cancer. Methods A total of 272 SABR cases with early-stage non-small cell lung cancer were chosen for this study. The occurrence of RP+ was predicted using a support vector machine (SVM) model trained with the combined features of the BN-based signature extracted from planning computed tomography (pCT) images and a pretreatment biomarker, serum Krebs von den Lungen-6 (BN+KL-6 model). In all, 242 (20 RP+ and 222 RP–(grade 1)) and 30 cases (8 RP+ and 22 RP–) were used for training and testing the model, respectively. The BN-based features were extracted from BN maps that characterize topologically invariant heterogeneous traits of potential RP+ lung regions on pCT images by applying histogram- and texture-based feature calculations to the maps. The SVM models were built to predict RP+ patients with a BN signature that was constructed based on the least absolute shrinkage and selection operator logistic regression model. The evaluation of the prediction models was performed based on the area under the receiver operating characteristic curves (AUCs) and accuracy in the test. The performance of the BN+KL-6 model was compared to the performance based on the BN, conventional original pCT, and wavelet decomposition (WD) models. Results The test AUCs obtained for the BN+KL-6, BN, pCT, and WD models were 0.825, 0.807, 0.642, and 0.545, respectively. The accuracies of the BN+KL-6, BN, pCT, and WD models were found to be 0.724, 0.708, 0.591, and 0.534, respectively. Conclusion This study demonstrated the comprehensive performance of the BN+KL-6 model for the prediction of potential RP+ patients before SABR for lung cancer.

DOI： 10.1371/journal.pone.0263292

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Language：Japanese  

CiNii Research

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

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Language：Japanese  

Authorship：Lead author   Language：English   Publishing type：Research paper (scientific journal)  

Language：English   Publishing type：Research paper (scientific journal)  

DOI： 10.1007/s00261-004-0202-7

Language：English   Publishing type：Research paper (scientific journal)  

Language：Japanese   Publishing type：Research paper (scientific journal)  

Event date： 2022.2

Language：Japanese  

Venue：福岡市   Country：Japan  

Event date： 2019.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：名古屋市   Country：Japan  

Event date： 2018.10

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：京都市   Country：Japan  

Event date： 2017.11

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：大阪市   Country：Japan  

Event date： 2017.4

Language：Japanese   Presentation type：Oral presentation (general)  

Venue：横浜市   Country：Japan  

Event date： 2011.7

Presentation type：Public lecture, seminar, tutorial, course, or other speech  

Venue：神戸市   Country：Japan