Texture analysis of 18F-FDG PET/CT to predict tumour response and prognosis of patients with esophageal cancer treated by chemoradiotherapy

Masatoyo Nakajo, Megumi Jinguji, Yoshiaki Nakabeppu, +7

European Journal of Nuclear Medicine and Molecular Imaging

Positron Emission Tomography18F-fdg Pet/ctEngineeringEsophageal CancerMedical Imaging +9

Rim enhancement of breast cancers on contrast-enhanced MR imaging: Relationship with prognostic factors

Megumi Jinguji, Yoriko Kajiya, Kiyohisa Kamimura, +8

Breast Cancer

Rim EnhancementEngineeringMedical ImagingContrast-enhanced Mr ImagingBiomedical Imaging +10

Effects and safety of 131I-metaiodobenzylguanidine (MIBG) radiotherapy in malignant neuroendocrine tumors: Results from a multicenter observational registry

Keiichiro Yoshinaga, Noboru Oriuchi, Hiroshi Wakabayashi, +13

Endocrine Journal

Application of a Machine Learning Approach for the Analysis of Clinical and Radiomic Features of Pretreatment [18F]-FDG PET/CT to Predict Prognosis of Patients with Endometrial Cancer

Masatoyo Nakajo, Megumi Jinguji, Atsushi Tani, +5

Molecular Imaging and Biology

EngineeringOncologic ImagingMedical ImagingCancer DetectionMedicine +13

The clinical value of texture analysis of dual-time-point 18F-FDG-PET/CT imaging to differentiate between 18F-FDG-avid benign and malignant pulmonary lesions

Masatoyo Nakajo, Megumi Jinguji, Masaya Aoki, +3

European Radiology

EngineeringMedical ImagingMultiple Pulmonary NoduleBiomedical ImagingPathology +10

Texture analysis of FDG PET/CT for differentiating between FDG-avid benign and metastatic adrenal tumors: efficacy of combining SUV and texture parameters

Masatoyo Nakajo, Megumi Jinguji, Masayuki Nakajo, +4

Abdominal Radiology

Positron Emission TomographyFdg-avid BenignMedical ImagingPet-mriTexture Parameters +6

Machine learning based evaluation of clinical and pretreatment 18F-FDG-PET/CT radiomic features to predict prognosis of cervical cancer patients

Masatoyo Nakajo, Megumi Jinguji, Atsushi Tani, +6

Abdominal Radiology

EngineeringCervical CancerMedical ImagingCancer DetectionDiagnosis +10

A pilot study for texture analysis of 18F-FDG and 18F-FLT-PET/CT to predict tumor recurrence of patients with colorectal cancer who received surgery

Masatoyo Nakajo, Yoriko Kajiya, Atsushi Tani, +4

European Journal of Nuclear Medicine and Molecular Imaging

Surgical OncologyEngineeringMedical ImagingCancer DetectionTumor Recurrence +11

Draft guidelines regarding appropriate use of 131I-MIBG radiotherapy for neuroendocrine tumors

Seigo Kinuya, Keiichiro Yoshinaga, Tetsuya Higuchi, +3

Annals of Nuclear Medicine

Endocrine OncologyRadiation TherapyMedicineRadionuclide TherapyBrachytherapy +9

Texture analysis of 18F-FDG PET/CT for grading thymic epithelial tumours: usefulness of combining SUV and texture parameters

Masatoyo Nakajo, Megumi Jinguji, Tetsuya Shinaji, +5

British Journal of Radiology