Updated on 2023/10/12

写真a

 
TANI Atsushi
 
Organization
University Hospital, Medical and Dental Sciences Area University Hospital Clinical Facilities Radiology Lecturer
Title
Lecturer

Degree

  • 博士(医学) ( 2000.10   鹿児島大学 )

Research Interests

  • Diagnostic Radiology

  • Nuclear Medicine

Education

  • Kagoshima University

    1994.4 - 2000.11

      More details

    Country: Japan

  • Kagoshima University

    1988.4 - 1994.3

      More details

    Country: Japan

Research History

  • Kagoshima University   Medical and Dental Hospital, Medical and Dental Sciences Area Medical and Dental Hospital Clinical Facilities Radiology   Lecturer

    2016.6

Qualification acquired

  • Doctor

 

Papers

  • Nakajo M., Kawaji K., Nagano H., Jinguji M., Mukai A., Kawabata H., Tani A., Hirahara D., Yamashita M., Yoshiura T. .  The Usefulness of Machine Learning–Based Evaluation of Clinical and Pretreatment [<sup>18</sup>F]-FDG-PET/CT Radiomic Features for Predicting Prognosis in Hypopharyngeal Cancer .  Molecular Imaging and Biology25 ( 2 ) 303 - 313   2023.4

     More details

    Language:Japanese   Publisher:Molecular Imaging and Biology  

    Purpose: To examine whether the machine learning (ML) analyses using clinical and pretreatment 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography ([18F]-FDG-PET)–based radiomic features were useful for predicting prognosis in patients with hypopharyngeal cancer. Procedures: This retrospective study included 100 patients with hypopharyngeal cancer who underwent [18F]-FDG-PET/X-ray computed tomography (CT) before treatment, and these patients were allocated to the training (n=80) and validation (n=20) cohorts. Eight clinical (age, sex, histology, T stage, N stage, M stage, UICC stage, and treatment) and 40 [18F]-FDG-PET–based radiomic features were used to predict disease progression. A feature reduction procedure based on the decrease of the Gini impurity was applied. Six ML algorithms (random forest, neural network, k-nearest neighbors, naïve Bayes, logistic regression, and support vector machine) were compared using the area under the receiver operating characteristic curve (AUC). Progression-free survival (PFS) was assessed using Cox regression analysis. Results: The five most important features for predicting disease progression were UICC stage, N stage, gray level co-occurrence matrix entropy (GLCM_Entropy), gray level run length matrix run length non-uniformity (GLRLM_RLNU), and T stage. Patients who experienced disease progression displayed significantly higher UICC stage, N stage, GLCM_Entropy, GLRLM_RLNU, and T stage than those without progression (each, p<0.001). In both cohorts, the logistic regression model constructed by these 5 features was the best performing classifier (training: AUC=0.860, accuracy=0.800; validation: AUC=0.803, accuracy=0.700). In the logistic regression model, 5-year PFS was significantly higher in patients with predicted non-progression than those with predicted progression (75.8% vs. 8.3%, p<0.001), and this model was only the independent factor for PFS in multivariate analysis (hazard ratio = 3.22; 95% confidence interval = 1.03–10.11; p=0.045). Conclusions: The logistic regression model constructed by UICC, T and N stages and pretreatment [18F]-FDG-PET–based radiomic features, GLCM_Entropy, and GLRLM_RLNU may be the most important predictor of prognosis in patients with hypopharyngeal cancer.

    DOI: 10.1007/s11307-022-01757-7

    Scopus

    PubMed

  • Nakajo M., Horizoe Y., Kawaji K., Jinguji M., Tani A., Fukukura Y., Ohishi M., Yoshiura T. .  Application of <sup>123</sup>I-MIBG myocardial maximum standardized uptake value to characterize cardiac function in patients with pheochromocytoma: comparison with echocardiography .  Japanese Journal of Radiology41 ( 4 ) 437 - 448   2023.4

     More details

    Language:Japanese   Publisher:Japanese Journal of Radiology  

    Purpose: This study examined the usefulness of the maximum standardized uptake value (SUVmax) of myocardial [123I]-metaiodobenzylguanidine ([123I]-MIBG) to characterize myocardial function by comparing it with echocardiographic parameters in patients with pheochromocytoma. Materials and methods: This study included 18 patients with pheochromocytoma who underwent both planar and [123I]-MIBG single-photon emission computed tomography/computed tomography scans and echocardiography before surgery. Myocardial [123I]-MIBG visibility and SUVmax were compared with echocardiographic parameters related to systolic and diastolic functions. The Mann–Whitney U test, Fisher exact test, or Spearman rank correlation assessed differences or relationships between two quantitative variables. Results: On visual analysis, 6 patients showed normal myocardial [123I]-MIBG uptake, whereas 12 patients showed decreased myocardial [123I]-MIBG uptake. No patients showed systolic dysfunction. A significant difference was observed in the incidence of diastolic dysfunction between the groups with normal and decreased uptake (p = 0.009), and left ventricular (LV) diastolic dysfunction was observed in 9 (75%) of 12 patients with decreased myocardial uptake. The myocardial SUVmax was significantly lower in 9 patients with LV diastolic dysfunction than in 9 patients with normal cardiac function (1.67 ± 0.37 vs. 3.03 ± 1.38, p = 0.047). Myocardial SUVmax was positively correlated with septal e′ (early diastolic velocity of septal mitral annulus) (ρ = 0.51, p = 0.031) and negatively correlated with the septal E/e′ ratio (early mitral E-velocity to early diastolic velocity of septal mitral annulus; ρ = − 0.64, p = 0.004), respectively. Conclusions: LV diastolic dysfunction was inversely related to myocardial [123I]-MIBG uptake. Myocardial [123I]-MIBG SUVmax may be useful for characterizing cardiac function in patients with pheochromocytoma. Second abstract. The semiquantitative analysis using the myocardial SUVmax in 123I-MIBG SPECT/CT was found to be potentially useful for characterizing cardiac function in patients with pheochromocytoma.

    DOI: 10.1007/s11604-022-01365-z

    Scopus

    PubMed

  • Nakajo Masatoyo, Horizoe Yoshihisa, Kawaji Kodai, Jinguji Megumi, Tani Atsushi, Fukukura Yoshihiko, Ohishi Mitsuru, Yoshiura Takashi .  Application of 123I-MIBG myocardial maximum standardized uptake value to characterize cardiac function in patients with pheochromocytoma: comparison with echocardiography(タイトル和訳中) .  Japanese Journal of Radiology41 ( 4 ) 437 - 448   2023.4Application of 123I-MIBG myocardial maximum standardized uptake value to characterize cardiac function in patients with pheochromocytoma: comparison with echocardiography(タイトル和訳中)

     More details

    Language:English   Publisher:(公社)日本医学放射線学会  

  • Kawaji K., Nakajo M., Shinden Y., Jinguji M., Tani A., Hirahara D., Kitazono I., Ohtsuka T., Yoshiura T. .  Application of Machine Learning Analyses Using Clinical and [<sup>18</sup>F]-FDG-PET/CT Radiomic Characteristics to Predict Recurrence in Patients with Breast Cancer .  Molecular Imaging and Biology   2023

     More details

    Language:Japanese   Publisher:Molecular Imaging and Biology  

    Purpose: To develop and identify machine learning (ML) models using pretreatment clinical and 2-deoxy-2-[18F]fluoro-d-glucose positron emission tomography ([18F]-FDG-PET)-based radiomic characteristics to predict disease recurrences in patients with breast cancers who underwent surgery. Procedures: This retrospective study included 112 patients with 118 breast cancer lesions who underwent [18F]-FDG-PET/ X-ray computed tomography (CT) preoperatively, and these lesions were assigned to training (n=95) and testing (n=23) cohorts. A total of 12 clinical and 40 [18F]-FDG-PET-based radiomic characteristics were used to predict recurrences using 7 different ML algorithms, namely, decision tree, random forest (RF), neural network, k-nearest neighbors, naive Bayes, logistic regression, and support vector machine (SVM) with a 10-fold cross-validation and synthetic minority over-sampling technique. Three different ML models were created using clinical characteristics (clinical ML models), radiomic characteristics (radiomic ML models), and both clinical and radiomic characteristics (combined ML models). Each ML model was constructed using the top ten characteristics ranked by the decrease in Gini impurity. The areas under ROC curves (AUCs) and accuracies were used to compare predictive performances. Results: In training cohorts, all 7 ML algorithms except for logistic regression algorithm in the radiomics ML model (AUC = 0.760) achieved AUC values of >0.80 for predicting recurrences with clinical (range, 0.892–0.999), radiomic (range, 0.809–0.984), and combined (range, 0.897–0.999) ML models. In testing cohorts, the RF algorithm of combined ML model achieved the highest AUC and accuracy (95.7% (22/23)) with similar classification performance between training and testing cohorts (AUC: training cohort, 0.999; testing cohort, 0.992). The important characteristics for modeling process of this RF algorithm were radiomic GLZLM_ZLNU and AJCC stage. Conclusions: ML analyses using both clinical and [18F]-FDG-PET-based radiomic characteristics may be useful for predicting recurrence in patients with breast cancers who underwent surgery.

    DOI: 10.1007/s11307-023-01823-8

    Scopus

    PubMed

  • Nakajo M., Nagano H., Jinguji M., Kamimura Y., Masuda K., Takumi K., Tani A., Hirahara D., Kariya K., Yamashita M., Yoshiura T. .  The usefulness of machine-learning-based evaluation of clinical and pretreatment<sup>18</sup>F-FDG-PET/CT radiomic features for predicting prognosis in patients with laryngeal cancer .  British Journal of Radiology96 ( 1149 ) 20220772   2023

     More details

    Language:Japanese   Publisher:British Journal of Radiology  

    Objective: To examine whether machine learning (ML) analyses involving clinical and18F-FDG-PET-based radiomic features are helpful in predicting prognosis in patients with laryngeal cancer. Methods: This retrospective study included 49 patients with laryngeal cancer who underwent18F-FDG-PET/CT before treatment, and these patients were divided into the training (n = 34) and testing (n = 15) cohorts.Seven clinical (age, sex, tumor size, T stage, N stage, Union for International Cancer Control stage, and treatment) and 4018F-FDG-PET–based radiomic features were used to predict disease progression and survival. Six ML algorithms (random forest, neural network, k-nearest neighbors, naïve Bayes, logistic regression, and support vector machine) were used for predicting disease progression. Two ML algorithms (cox proportional hazard and random survival forest [RSF] model) considering for time-to-event outcomes were used to assess progression-free survival (PFS), and prediction performance was assessed by the concordance index (C-index). Results: Tumor size, T stage, N stage, GLZLM_ZLNU, and GLCM_Entropy were the five most important features for predicting disease progression.In both cohorts, the naïve Bayes model constructed by these five features was the best performing classifier (training: AUC = 0.805; testing: AUC = 0.842). The RSF model using the five features (tumor size, GLZLM_ZLNU, GLCM_Entropy, GLRLM_LRHGE and GLRLM_SRHGE) exhibited the highest performance in predicting PFS (training: C-index = 0.840; testing: C-index = 0.808). Conclusion: ML analyses involving clinical and18F-F-DG-PET–based radiomic features may help predict disease progression and survival in patients with laryngeal cancer. Advances in knowledge: ML approach using clinical and18F-FDG-PET–based radiomic features has the potential to predict prognosis of laryngeal cancer.

    DOI: 10.1259/bjr.20220772

    Scopus

    PubMed

  • Nakajo M., Jinguji M., Ito S., Tani A., Hirahara M., Yoshiura T. .  Clinical application of <sup>18</sup>F-fluorodeoxyglucose positron emission tomography/computed tomography radiomics-based machine learning analyses in the field of oncology .  Japanese Journal of Radiology   2023

     More details

    Language:Japanese   Publisher:Japanese Journal of Radiology  

    Machine learning (ML) analyses using 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography (CT) radiomics features have been applied in the field of oncology. The current review aimed to summarize the current clinical articles about 18F-FDG PET/CT radiomics-based ML analyses to solve issues in classifying or constructing prediction models for several types of tumors. In these studies, lung and mediastinal tumors were the most commonly evaluated lesions, followed by lymphatic, abdominal, head and neck, breast, gynecological, and other types of tumors. Previous studies have commonly shown that 18F-FDG PET radiomics-based ML analysis has good performance in differentiating benign from malignant tumors, predicting tumor characteristics and stage, therapeutic response, and prognosis by examining significant differences in the area under the receiver operating characteristic curves, accuracies, or concordance indices (> 0.70). However, these studies have reported several ML algorithms. Moreover, different ML models have been applied for the same purpose. Thus, various procedures were used in 18F-FDG PET/CT radiomics-based ML analysis in oncology, and 18F-FDG PET/CT radiomics-based ML models, which are easy and universally applied in clinical practice, would be expected to be established.

    DOI: 10.1007/s11604-023-01476-1

    Scopus

    PubMed

  • Yano E., Nakajo M., Jinguji M., Tani A., Kitazono I., Yoshiura T. .  I-131 false-positive uptake in a thymic cyst with expression of the sodium-iodide symporter: A case report .  Medicine (United States)101 ( 26 ) e29282   2022.6

     More details

    Language:Japanese   Publisher:Medicine (United States)  

    Rationale: I-131 radioiodine false-positive findings in postoperative patients with differentiated thyroid cancer (DTC) should be recognized to avoid unnecessary therapies. Patient concerns and diagnoses: A 50-year-old man underwent I-131 therapy 3 times, including the initial ablative therapy after total thyroidectomy for papillary thyroid cancer. The initial I-131 posttherapeutic whole-body scintigraphy showed 2 cervical and one superior mediastinal focal I-131 positive uptake lesions. The serum thyroglobulin level was negative every time when the radioiodine therapy was performed. Although the 2 cervical positive uptake lesions disappeared after the second therapy, the superior mediastinal I-131 positive uptake persisted even after the third therapy, and this lesion was suspicion of I-131 therapy-resistant node metastasis. Interventions and outcomes: The lesion was resected, and the pathological diagnosis with immune-histochemical analysis was a thymic cyst with thymic epithelial cells having a weak expression of the sodium-iodide symporter (NIS). Lessons: The false-positive result may be attributed to the NIS expression in the thymic cyst epithelial cells. It is necessary to include a thymic cyst in the differential diagnosis, when I-131 uptake is noted in the superior mediastinal region on I-131 posttherapeutic scans of patients with postoperative DTC. Although the I-131 positive uptake in a thymic cyst may be influenced by the I-131 administered dose and scan timing after I-131 administration, the NIS expression may be essential to the false-positive uptake in a thymic cyst.

    DOI: 10.1097/MD.0000000000029282

    Scopus

    PubMed

  • Nakajo M., Takeda A., Katsuki A., Jinguji M., Ohmura K., Tani A., Sato M., Yoshiura T. .  The efficacy of<sup>18</sup>F-FDG-PET-based radiomic and deep-learning features using a machine-learning approach to predict the pathological risk subtypes of thymic epithelial tumors .  British Journal of Radiology95 ( 1134 ) 20211050   2022.6

     More details

    Language:Japanese   Publisher:British Journal of Radiology  

    Objective: To examine whether the machine-learning approach using 18-fludeoxyglucose positron emission tomography (18F-FDG-PET)-based radiomic and deep-learning features is useful for predicting the pathological risk subtypes of thymic epithelial tumors (TETs). Methods: This retrospective study included 79 TET [27 low-risk thymomas (types A, AB and B1), 31 high-risk thymomas (types B2 and B3) and 21 thymic carcinomas] patients who underwent pre-therapeutic18F-FDG-PET/ CT. High-risk TETs (high-risk thymomas and thymic carcinomas) were 52 patients. The 107 PET-based radiomic features, including SUV-related parameters [maximum SUV (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG)] and 1024 deep-learning features extracted from the convolutional neural network were used to predict the pathological risk subtypes of TETs using six different machine-learning algorithms. The area under the curves (AUCs) were calculated to compare the predictive performances. Results: SUV-related parameters yielded the following AUCs for predicting thymic carcinomas: SUVmax 0.713, MTV 0.442, and TLG 0.479 or high-risk TETs: SUVmax 0.673, MTV 0.533, and TLG 0.539. The bestperforming algorithm was the logistic regression model for predicting thymic carcinomas (AUC 0.900, accuracy 81.0%), and the random forest (RF) model for high-risk TETs (AUC 0.744, accuracy 72.2%). The AUC was significantly higher in the logistic regression model than three SUV-related parameters for predicting thymic carcinomas, and in the RF model than MTV and TLG for predicting high-risk TETs (each; p < 0.05). Conclusion:18F-FDG-PET-based radiomic analysis using a machine-learning approach may be useful for predicting the pathological risk subtypes of TETs. Advances in knowledge: Machine-learning approach using18F-FDG-PET-based radiomic features has the potential to predict the pathological risk subtypes of TETs.

    DOI: 10.1259/bjr.20211050

    Scopus

    PubMed

  • Nakajo M. .  Machine learning based evaluation of clinical and pretreatment <sup>18</sup>F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients .  Abdominal Radiology47 ( 2 ) 838 - 847   2022.2

     More details

    Language:Japanese   Publisher:Abdominal Radiology  

    DOI: 10.1007/s00261-021-03350-y

    Scopus

    PubMed

  • Nagano H. .  Dual-Energy CT-Derived Electron Density for Diagnosing Metastatic Mediastinal Lymph Nodes in Non-Small Cell Lung Cancer: Comparison With Conventional CT and FDG PET/CT Findings .  American Journal of Roentgenology218 ( 1 ) 66 - 74   2022.1

     More details

    Language:Japanese   Publisher:American Journal of Roentgenology  

    DOI: 10.2214/AJR.21.26208

    Scopus

    PubMed

  • Nakajo M. .  Value of Patlak Ki images from <sup>18</sup>F-FDG-PET/CT for evaluation of the relationships between disease activity and clinical events in cardiac sarcoidosis .  Scientific Reports11 ( 1 ) 2729   2021.12

     More details

    Publisher:Scientific Reports  

    DOI: 10.1038/s41598-021-82217-0

    Scopus

    PubMed

  • Hozaka Y. .  Clinical utility and limitation of diagnostic ability for different degrees of dysplasia of intraductal papillary mucinous neoplasms of the pancreas using <sup>18</sup> F-fluorodeoxyglucose-positron emission tomography/ computed tomography .  Cancers13 ( 18 )   2021.9

     More details

    Language:Japanese   Publisher:Cancers  

    DOI: 10.3390/cancers13184633

    Scopus

    PubMed

  • Nakajo M. .  Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [<sup>18</sup>F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer .  Molecular Imaging and Biology23 ( 5 ) 756 - 765   2021

     More details

    Language:Japanese   Publisher:Molecular Imaging and Biology  

    DOI: 10.1007/s11307-021-01599-9

    Scopus

    PubMed

  • Nakajo M. .  Application of a machine learning approach to characterization of liver function using <sup>99m</sup>Tc-GSA SPECT/CT .  Abdominal Radiology46 ( 7 ) 3184 - 3192   2021

     More details

    Language:Japanese   Publisher:Abdominal Radiology  

    DOI: 10.1007/s00261-021-02985-1

    Scopus

    PubMed

  • Nakajo M. .  Application of adrenal maximum standardized uptake value to <sup>131</sup>I-6β-iodomethyl-19-norcholesterol SPECT/CT for characterizing unilateral hyperfunctioning adrenocortical masses .  European Journal of Radiology133   109397   2020.12

     More details

    Publisher:European Journal of Radiology  

    DOI: 10.1016/j.ejrad.2020.109397

    Scopus

    PubMed

  • Nakajo M. .  [<sup>18</sup>F]-FDG-PET/CT and [<sup>18</sup>F]-FAZA-PET/CT Hypoxia Imaging of Metastatic Thyroid Cancer: Association with Short-Term Progression After Radioiodine Therapy .  Molecular Imaging and Biology22 ( 6 ) 1609 - 1620   2020.12

     More details

    Publisher:Molecular Imaging and Biology  

    DOI: 10.1007/s11307-020-01516-6

    Scopus

    PubMed

  • Masatoyo Nakajo, Megumi Jinguji, Atsushi Tani, Takashi Yoshiura .  Application of adrenal maximum standardized uptake value to 131I-6β-iodomethyl-19-norcholesterol SPECT/CT for characterizing unilateral hyperfunctioning adrenocortical masses. .  European Radiology   2020.12Application of adrenal maximum standardized uptake value to 131I-6β-iodomethyl-19-norcholesterol SPECT/CT for characterizing unilateral hyperfunctioning adrenocortical masses.Reviewed

     More details

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

  • Nakajo M. .  The clinical value of texture analysis of dual-time-point <sup>18</sup>F-FDG-PET/CT imaging to differentiate between <sup>18</sup>F-FDG-avid benign and malignant pulmonary lesions .  European Radiology30 ( 3 ) 1759 - 1769   2020.3

     More details

    Publisher:European Radiology  

    DOI: 10.1007/s00330-019-06463-7

    Scopus

    PubMed

  • Nakajo M. .  A Pilot Study of Texture Analysis of Primary Tumor [<sup>18</sup>F]FDG Uptake to Predict Recurrence in Surgically Treated Patients with Non-small Cell Lung Cancer .  Molecular Imaging and Biology21 ( 4 ) 771 - 780   2019.8

     More details

    Publisher:Molecular Imaging and Biology  

    DOI: 10.1007/s11307-018-1290-z

    Scopus

    PubMed

  • Masayuki Nakajo, Megumi Jinguji, Tetsuya Shinaji, Atsushi Tani, Yoshiaki Nakabeppu, Masayuki Nakajo, Akihiro Nakajo, Shoji Natsugoe, Takashi Yoshiura .  18F-FDG-PET/CT features of primary tumours for predicting the risk of recurrence in thyroid cancer after total thyroidectomy: potential usefulness of combination of the SUV-related, volumetric, and heterogeneous texture parameters. .  British Journal of Radiology   2019.218F-FDG-PET/CT features of primary tumours for predicting the risk of recurrence in thyroid cancer after total thyroidectomy: potential usefulness of combination of the SUV-related, volumetric, and heterogeneous texture parameters. Reviewed

     More details

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

  • Nakajo M. .  <sup>18</sup> F-FDG-PeT/CT features of primary tumours for predicting the risk of recurrence in thyroid cancer after total thyroidectomy: Potential usefulness of combination of the SuV-related, volumetric, and heterogeneous texture parameters .  British Journal of Radiology92 ( 1094 ) 20180620   2019

     More details

    Publisher:British Journal of Radiology  

    DOI: 10.1259/bjr.20180620

    Scopus

    PubMed

  • Kitajima K. .  Response to neoadjuvant chemotherapy for breast cancer judged by PERCIST – multicenter study in Japan .  European Journal of Nuclear Medicine and Molecular Imaging45 ( 10 ) 1661 - 1671   2018.9

     More details

    Publisher:European Journal of Nuclear Medicine and Molecular Imaging  

    DOI: 10.1007/s00259-018-4008-1

    Scopus

    PubMed

  • Masatoyo Nakajo, Megumi Jinguji, Tetsuya Shinaji, Masayuki Nakajo, Masaya Aoki, Atsushi Tani, Masami Sato, Takashi Yoshiura .  Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters. .  British Journal of Radiology   2018.2Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters. Reviewed

     More details

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

  • Nakajo M. .  Texture analysis of <sup>18</sup>F-FDG peT/CT for grading thymic epithelial tumours: usefulness of combining SuV and texture parameters .  British Journal of Radiology91 ( 1083 ) 20170546   2018

     More details

    Publisher:British Journal of Radiology  

    DOI: 10.1259/bjr.20170546

    Scopus

    PubMed

  • Nagano H. .  A small pancreatic hamartoma with an obstruction of the main pancreatic duct and avid FDG uptake mimicking a malignant pancreatic tumor: a systematic case review .  BMC gastroenterology17 ( 1 ) 146   2017.12

     More details

    Publisher:BMC gastroenterology  

    DOI: 10.1186/s12876-017-0704-8

    Scopus

    PubMed

  • Nakajo M. .  A pilot study for texture analysis of <sup>18</sup>F-FDG and <sup>18</sup>F-FLT-PET/CT to predict tumor recurrence of patients with colorectal cancer who received surgery .  European Journal of Nuclear Medicine and Molecular Imaging44 ( 13 ) 2158 - 2168   2017.12

     More details

    Publisher:European Journal of Nuclear Medicine and Molecular Imaging  

    DOI: 10.1007/s00259-017-3787-0

    Scopus

    PubMed

  • 加治屋 より子, 谷 淳至, 南立 亮, 仮屋 圭佑, 神宮司 メグミ, 中條 正豊, 西俣 寛人, 福永 秀敏, 中條 政敬, 吉浦 敬 .  PET検診がん発見率と年代や性別、受診回数との関連性 どのような人がFDG-PET検診を受けるとよいか .  臨床放射線62 ( 9 ) 1157 - 1163   2017.9PET検診がん発見率と年代や性別、受診回数との関連性 どのような人がFDG-PET検診を受けるとよいか

     More details

    Publisher:金原出版(株)  

    PET検診6256件を対象に、癌発見率と年代や性別、受診回数との関連を検討した。実受診者数は4898人で、うち複数回受検者が710人、内訳は男3562人・女2694人・平均年齢58.0歳であった。162件(167の癌病変、重複癌3人、3重複癌1人を含む)の癌が発見され、癌発見率は延べで3.3%、初回で3.0%、癌病変発見率は延べで2.7%、初回で3.1%、2回目で1.4%であった。男女あわせた年代別発見率の推移では、加齢により有意に癌の発見率が上昇していた。男女別で50歳を境とした2群で年齢と発見率を比較したところ、男性では50歳以上で50歳未満に比べて発見率が高く、女性では有意差はなかった。初回受診者のみの病変発見率をみると、全体と同様に男性で発見率が高く、加齢によりその傾向が顕著であったが、各年代での発見率がより高かった。以上、PET癌検診発見率は受検者の年齢や性別、特に年齢に大きく影響されると考えられた。

  • Nakajo M. .  A pilot study of the diagnostic and prognostic values of FLT-PET/CT for pancreatic cancer: comparison with FDG-PET/CT .  Abdominal Radiology42 ( 4 ) 1210 - 1221   2017.4

     More details

    Publisher:Abdominal Radiology  

    DOI: 10.1007/s00261-016-0987-1

    Scopus

    PubMed

  • Masatoyo Nakajo, Yoriko Kajiya, Atsushi Tani, Megumi Jinguji, Masayuki Nakajo, Toru Nihara, Yoshihiko Fukukura, Takashi Yoshiura .  A pilot study of the diagnostic and prognostic values of FLT-PET/CT for pancreatic cancer: comparison with FDG-PET/CT. .  Abdominal Radiology   2017.4A pilot study of the diagnostic and prognostic values of FLT-PET/CT for pancreatic cancer: comparison with FDG-PET/CT.Reviewed

     More details

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

  • Masatoyo Nakajo, Yoriko Kajiya, Atsushi Tani, Megumi Jinguji, Masayuki Nakajo, Takashi Yoshiura .  FLT-PET/CT diagnosis of primary and metastatic nodal lesions of gastric cancer: comparison with FDG-PET/CT. .  Abdominal Radiology   2016.10FLT-PET/CT diagnosis of primary and metastatic nodal lesions of gastric cancer: comparison with FDG-PET/CT.Reviewed

     More details

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

  • Yoriko Kajiya, Atsushi Tani, Syunji Shimaoka, Sadao Tanaka, Masatoyo Nakajo .  Early gastric cancer detected by 2-hour delayed FDG PET with the water gastric distention method. .  Clinical Nuclear Medicine   2011.12Early gastric cancer detected by 2-hour delayed FDG PET with the water gastric distention method.Reviewed

     More details

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

  • Atsushi Tani, Yoriko Kajiya, Masatoyo Nakajo, Masayuki Nakajo .  A focal pulmonary F-18 FDG uptake without pulmonary CT abnormality in PET/CT probably due to mislocation of the urine F-18 FDG in the left upper renal calyx. .  Clinical Nuclear Medicine   2010.9A focal pulmonary F-18 FDG uptake without pulmonary CT abnormality in PET/CT probably due to mislocation of the urine F-18 FDG in the left upper renal calyx.Reviewed

     More details

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

  • Atsushi Tani, Shinsaku Tsuchimochi, Yoshiaki Nakabeppu, Masayuki Nakajo .  Bone and Tl-201 scintigraphy in a case of hereditary multiple exostoses. .  Clinical Nuclear Medicine   2001.12Bone and Tl-201 scintigraphy in a case of hereditary multiple exostoses.Reviewed

     More details

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

  • Atsushi Tani, Masayuki Nakajo, Shinsaku Tsuchimochi, Yoshiaki Nakabeppu, Tomokazu Umanodan .  Adrenal incidentalomas showing unilateral concordant visualization by adrenocortical scintigraphy: comparison with adenomas in Cushing's syndrome. .      2000.10Adrenal incidentalomas showing unilateral concordant visualization by adrenocortical scintigraphy: comparison with adenomas in Cushing's syndrome.Reviewed

     More details

    Language:English   Publishing type:Doctoral thesis  

  • Atsushi Tani, Masayuki Nakajo, Shinsaku Tsuchimochi, Yoshiaki Nakabeppu, Tomokazu Umanodan .  Adrenal incidentalomas showing unilateral concordant visualization by adrenocortical scintigraphy: comparison with adenomas in Cushing's syndrome. .  Annals of Nuclear Medicine   2000.6Adrenal incidentalomas showing unilateral concordant visualization by adrenocortical scintigraphy: comparison with adenomas in Cushing's syndrome.Reviewed

     More details

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

  • Atsushi Tani, Masayuki Nakajo .  Indium-111-chloride scintigraphy visualized gastric involvement in a case of adult T-cell leukemia. .  Annals of Nuclear Medicine   1999.6Indium-111-chloride scintigraphy visualized gastric involvement in a case of adult T-cell leukemia. Reviewed

     More details

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

  • Atsushi Tani, Yoshiaki Nakabeppu, Masakazu Kobayashi, Shinsaku Tsuchimochi, Masayuki Nakajo .  Numerous sites of increased uptake shown on bone scintigraphy in a case of adult T-cell leukemia. .  Annals of Nuclear Medicine   1997.11Numerous sites of increased uptake shown on bone scintigraphy in a case of adult T-cell leukemia.Reviewed

     More details

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

▼display all

MISC

Presentations

  • 谷 淳至   骨髄シンチグラフィで左副腎部付近への偶然集積を認めた一例  

    第197回日本医学放射線学会九州地方会  2023.6  日本医学放射線学会九州地方会

     More details

    Event date: 2023.6

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:那覇市   Country:Japan  

  • 谷 淳至   転移性肺腫瘍へのFDG集積における デバイスレス呼吸同期撮影法の影響: 領域毎の評価  

    第62回日本核医学会学術総会  2022.9  日本核医学会

     More details

    Event date: 2022.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:京都市   Country:Japan  

  • 谷 淳至   肺動静脈奇形に対する血管内治療前後の Tc-99m MAAを用いた評価法に関する検討  

    第61回日本核医学会学術総会  2021.11  日本核医学会

     More details

    Event date: 2021.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:名古屋市   Country:Japan  

  • 谷 淳至   骨核医学検査の新たな潮流: 定量的な評価を臨床へ   Invited

    第86回沖縄県核医学懇話会  2021.6  沖縄県核医学懇話会/日本メジフィジックス株式会社

     More details

    Event date: 2021.6

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

    Venue:ウェブ開催   Country:Japan  

  • 谷淳至、神宮司メグミ、中條正豊、吉浦敬   少量(1110MBq)のI-131を用いた甲状腺癌術後アブレーション治療の効果判定  

    第60回日本核医学会学術総会  日本核医学会

     More details

    Event date: 2020.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:神戸国際会議場  

  • Atsushi Tani, Megumi Jinguji, Masatoyo Nakajo, Takashi Yoshiura   Quantitative bone SPECT/CT in osteomyelitis/osteonecrosis of the mandible: Initial experience  

     More details

    Event date: 2019.11

    Language:Japanese   Presentation type:Oral presentation (general)  

  • Atsushi Tani, Megumi Jinguji, Nasatoyo Nakajo, Takashi Yoshiura   Bone SPECT/CT in osteochondroma: visual analysis of tracer distribution and intensity  

    第78回日本医学放射線学会総会  日本医学放射線学会

     More details

    Event date: 2019.4

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:神奈川県横浜市  

  • 谷淳至   PSMAを標的とした核医学診断  

    第188回日本医学放射線学会九州地方会  日本医学放射線学会九州地方会

     More details

    Event date: 2019.2

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:鹿児島県鹿児島市  

  • Atsushi Tani, Megumi Jinguji, Masatoyo Nakajo, Takashi Yoshiura   Patient factors influencing FDG uptake of brown adipose tissue: a retrospective analysis  

    第58回日本核医学会学術総会  日本核医学会

     More details

    Event date: 2018.11

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:沖縄県宜野湾市  

  • 谷淳至   腫瘍核医学の未来を占う   Invited

    第32回日本核医学技術学会九州地方会学術大会  日本核医学技術学会九州地方会

     More details

    Event date: 2018.7

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

    Venue:鹿児島市労働交流センター  

  • 谷淳至、神宮司メグミ、中條正豊、吉浦敬   多発する弾性線維腫へのFDG集積と思われる所見を認めた一例  

    第187回日本医学放射線学会九州地方会  日本医学放射線学会九州地方会

     More details

    Event date: 2018.6

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:熊本県民交流館パレア  

  • 長谷川知仁、谷淳至、神宮司メグミ、吉浦敬   エトレチナート長期内服中の症例における骨シンチグラフィの経験  

    第53回日本核医学会九州地方会 

     More details

    Event date: 2018.2

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:長崎  

  • 谷淳至   FDGの骨髄集積について   Invited

    第30回九州PET研究会  九州PET研究会

     More details

    Event date: 2018.1

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:JR博多シティ会議室  

  • 谷淳至、神宮司メグミ、吉浦敬、中條正豊   甲状腺癌に対する複数回の放射性ヨード内用療法が耳下腺への放射性ヨード集積に与える影響についての検討  

    第57回日本核医学会学術総会  日本核医学会

     More details

    Event date: 2017.10

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:パシフィコ横浜  

    複数回の放射性ヨードを用いた内照射療法では、放射性ヨードの耳下腺への集積に変化はほとんど見られなかったが、総投与量の増加による影響が存在する可能性が考えられた。

  • 谷淳至、神宮司メグミ、吉浦敬、中條正豊   甲状腺癌術後の胸腺過形成と考えられた一例:FDG-PET/CTとI-131 SPECT/CTとの比較  

    第185回日本医学放射線学会九州地方会  日本医学放射線学会九州地方会

     More details

    Event date: 2017.6

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:久留米市  

  • Atsushi Tani, Takashi Yoshiura, Yoriko Kajiya   Gastroenteropancreatic neuroendocrine tumor: Comparison of FDG-PET/CT and diffusion-weighted MRI  

    The 76th Annual Meeting of the Japanese Radiological Society  Japanese Radiological Society

     More details

    Event date: 2017.4

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:Yokohama  

  • 谷淳至   FDG以外のPET薬剤について   Invited

    第34回鹿児島核医学技術検討会  鹿児島核医学技術検討会

     More details

    Event date: 2017.2

    Language:Japanese   Presentation type:Oral presentation (invited, special)  

  • 谷淳至,中條正豊,神宮司メグミ,吉浦敬,加治屋より子   FLTの大動脈壁への集積と思われる所見が認められた一例  

    第52回日本核医学会九州地方会  日本核医学会九州地方会

     More details

    Event date: 2017.2

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:沖縄産業支援センター  

  • 谷淳至   123I-MIBGシンチグラフィにおいて、びまん性の腎描出を認めた2例  

    第24回鹿児島画像診断カンファレンス  鹿児島画像診断カンファレンス

     More details

    Event date: 2016.9

    Language:Japanese   Presentation type:Oral presentation (general)  

    Venue:TKPガーデンシティ 鹿児島中央  

  • 河路 広大, 神宮司 メグミ, 中條 正豊, 谷 淳至, 吉浦 敬   急性下顎骨骨髄炎における骨シンチグラフィの検討  

    核医学  2019  (一社)日本核医学会

  • Tani Atsushi, Kajiya Yoriko, Nakajo Masatoyo, Jinguji Megumi, Yoshiura Takashi   消化管膵神経内分泌腫瘍 FDG-PET/CTと拡散強調MRIの比較(Gastroenteropancreatic Neuroendocrine Tumor: Comparison of FDG-PET/CT and Diffusion-weighted MRI)  

    日本医学放射線学会学術集会抄録集  2017.2  (公社)日本医学放射線学会

  • Nakajo Masatoyo, Jinguji Megumi, Tani Atsushi, Yoshiura Takashi   甲状腺癌におけるFDG-PET/CTのvolumetric解析による術後高リスク再発群予測の有用性について(Value of Volumetric Analysis of 18F-FDG-PET/CT for Predicting the Risk of Recurrence in Differentiated Thyroid Cancer after Total Thyroidectomy)  

    日本医学放射線学会学術集会抄録集  2018.2  (公社)日本医学放射線学会

  • 谷 淳至, 神宮司 メグミ, 吉浦 敬, 中條 正豊   甲状腺癌に対する複数回の放射性ヨード内用療法が耳下腺への放射性ヨード集積に与える影響についての検討  

    核医学  2017.9  (一社)日本核医学会

  • 谷 淳至, 神宮司 メグミ, 吉浦 敬, 中條 正豊   甲状腺癌術後の胸腺過形成と考えられた1例 FDG-PET/CTとI-131 SPECT/CTとの比較  

    Japanese Journal of Radiology  2019.2  (公社)日本医学放射線学会

  • 中條 正豊, 神宮司 メグミ, 谷 淳至, 吉浦 敬   肝機能評価における99mTc GSA SPET/CTのSUV値解析の有用性に関する研究  

    核医学  2020.10  (一社)日本核医学会

  • Nakajo Masatoyo, Jinguji Megumi, Tani Atsushi, Yoshiura Takashi   胸腺上皮性腫瘍の悪性度を予測する18F-FDG PET/CTの有用性(Value of 18F-FDG PET/CT in Predicting the Malignant Grade of Thymic Epithelial Tumors)  

    日本医学放射線学会学術集会抄録集  2017.2  (公社)日本医学放射線学会

  • 谷 淳至, 神宮司 メグミ, 中條 正豊, 吉浦 敬   褐色脂肪組織へのFDG集積に関する患者因子の検討  

    核医学  2018.11  (一社)日本核医学会

  • Tani Atsushi, Jinguji Megumi, Nakajo Masatoyo, Yoshiura Takashi   骨軟骨腫のSPECT/CT トレーサー集積分布および強度の視覚的評価(Bone SPECT/CT in Osteochondromas: Visual Analysis of Tracer Distribution and Intensity)  

    日本医学放射線学会学術集会抄録集  2019.2  (公社)日本医学放射線学会

  • 神宮司 メグミ, 中條 正豊, 谷 淳至, 中條 政敬, 吉浦 敬   巨大な甲状腺腫を有するバセドウ病に対するI-131治療経験  

    核医学  2017.9  (一社)日本核医学会

  • 神宮司 メグミ, 中條 正豊, 谷 淳至, 吉浦 敬   FDG-PET/CTの腹壁異常集積の検討  

    核医学  2019.10  (一社)日本核医学会

  • 谷 淳至, 中條 正豊, 神宮司 メグミ, 吉浦 敬, 加治屋 より子   FLTの大動脈壁への集積と思われる所見が認められた一例  

    核医学  2017.2  (一社)日本核医学会

  • 長谷川 知仁, 谷 淳至, 神宮司 メグミ, 吉浦 敬   エトレチナート長期内服中の症例における骨シンチグラフィの経験  

    核医学  2018.12  (一社)日本核医学会

  • Nakajo Masatoyo, Jinguji Megumi, Tani Atsushi, Yoshiura Takashi   テクスチャー解析を用いた18F-FDG PET/CTによる肺腫瘤の良悪性鑑別の有用性の検討(Value of Texture Features of 18F-FDG-PET/CT Imaging for Differentiating between Benign and Malignant Pulmonary Lesions)  

    日本医学放射線学会学術集会抄録集  2019.2  (公社)日本医学放射線学会

  • 神宮司 メグミ, 中別府 良昭, 吉浦 敬, 加治屋 より子, 谷 淳至, 中條 政敬   デング熱のFDG-PET/CTの1例  

    Japanese Journal of Radiology  2017.2  (公社)日本医学放射線学会

  • 谷 淳至, 神宮司 メグミ, 中條 正豊, 吉浦 敬   下顎骨骨髄炎・骨壊死の定量的な骨SPECT/CT評価の試み  

    核医学  2019.10  (一社)日本核医学会

  • 中條 正豊, 神宮司 メグミ, 谷 淳至, 吉浦 敬   副腎腫瘍の良悪性鑑別におけるFDG-PET/CTでのテクスチャー解析の有用性の検討  

    核医学  2017.9  (一社)日本核医学会

  • 谷 淳至, 神宮司 メグミ, 中條 正豊, 吉浦 敬   多発する弾性線維腫へのFDG集積と思われる所見を認めた1例  

    Japanese Journal of Radiology  2020.2  (公社)日本医学放射線学会

  • 谷 淳至, 神宮司 メグミ, 中條 正豊, 吉浦 敬   少量(1110MBq)のI-131を用いた甲状腺癌術後アブレーション治療の効果判定  

    核医学  2020.10  (一社)日本核医学会

  • 長野 広明, 神宮司 メグミ, 谷 淳至, 中條 正豊, 吉浦 敬   111In-pentetreotideシンチグラフィの撮像タイミングと腫瘍/正常臓器集積比に関する検討  

    核医学  2017.2  (一社)日本核医学会

  • 惠島 史貴, 長野 広明, 神宮司 メグミ, 谷 淳至, 中條 正豊, 吉浦 敬   111In-pentetreotideシンチグラフィにおける膵鉤部生理的集積についての検討  

    核医学  2017.2  (一社)日本核医学会

  • Nakajo Masatoyo, Jinguji Megumi, Tani Atsushi, Yoshiura Takashi   子宮内膜癌患者における術前18F-FDG-PET/CTのボリューム解析およびテクスチャー解析を用いたリスク分類(Risk Stratification using Volumetric and Texture Analyses of Preoperative 18F-FDG-PET/CT in Patients with Endometrial Cancer)  

    日本医学放射線学会学術集会抄録集  2021.3  (公社)日本医学放射線学会

     More details

    Language:English  

  • 田中 嵩人, 中條 正豊, 本村 江利子, 藤阪 智史, 神宮司 メグミ, 谷 淳至, 西郷 康正   心サルコイドーシスの18F-FDG-PET/CT速度定数画像の短時間撮像による画像再構成法の検討  

    核医学技術  2021.10  (NPO)日本核医学技術学会

     More details

    Language:Japanese  

  • 谷 淳至, 中條 正豊, 神宮司 メグミ, 吉浦 敬   転移性肺腫瘍へのFDG集積におけるデバイスレス呼吸同期撮影法の影響 領域毎の評価  

    核医学  2022.8  (一社)日本核医学会

     More details

    Language:Japanese  

  • Nakajo Masatoyo, Jinguji Megumi, Tani Atsushi, Horizoe Yoshihisa, Yoshiura Takashi   褐色細胞腫患者の心機能評価における123I-MIBG心筋集積の視覚的およびSUV定量解析の有用性の検討(Value of Myocardial 123I-MIBG Uptake Assessed by Visual and Semiquantitative Analyses for Characterizing the Cardiac Function in Patients with Pheochromocytoma)  

    日本医学放射線学会学術集会抄録集  2022.3  (公社)日本医学放射線学会

     More details

    Language:English  

  • 谷 淳至, 神宮司 メグミ, 中條 正豊, 吉浦 敬   肺動静脈奇形に対する血管内治療前後のTc-99m MAAを用いた評価法に関する検討  

    核医学  2021.10  (一社)日本核医学会

     More details

    Language:Japanese  

  • 中條 正豊, 神宮司 メグミ, 谷 淳至, 吉浦 敬   子宮頸癌の予後予測におけるFDG-PET特徴量を利用した機械学習解析について  

    核医学  2021.10  (一社)日本核医学会

     More details

    Language:English  

  • Nakajo Masatoyo, Jinguji Megumi, Hirahara Mitsuho, Tani Atsushi, Yoshiura Takashi   Value of Volumetric Analysis of 18F-FDG-PET/CT for Predicting the Prognosis in Patients with Gallbladder Cancer(タイトル和訳中)  

    日本医学放射線学会学術集会抄録集  2023.3  (公社)日本医学放射線学会

     More details

    Language:English  

  • Nakajo Masatoyo, Jinguji Megumi, Hirahara Mitsuho, Tani Atsushi, Yoshiura Takashi   胆嚢癌患者の予後予測における18F-FDG-PET/CTのvolumetric解析の有用性(Value of Volumetric Analysis of 18F-FDG-PET/CT for Predicting the Prognosis in Patients with Gallbladder Cancer)  

    日本医学放射線学会学術集会抄録集  2023.3  (公社)日本医学放射線学会

     More details

    Language:English  

▼display all