A5080542576- Endometrial and Cervical Cancer Treatments
- Ovarian cancer diagnosis and treatment
- Radiomics and Machine Learning in Medical Imaging
- Endometriosis Research and Treatment
- Uterine Myomas and Treatments
- MRI in cancer diagnosis
- Advanced MRI Techniques and Applications
- Cervical Cancer and HPV Research
- Urinary and Genital Oncology Studies
- Ectopic Pregnancy Diagnosis and Management
- Pregnancy and preeclampsia studies
- AI in cancer detection
- Maternal and fetal healthcare
- Fetal and Pediatric Neurological Disorders
- Bladder and Urothelial Cancer Treatments
- Colorectal and Anal Carcinomas
- Blood groups and transfusion
- Topic Modeling
- Appendicitis Diagnosis and Management
- Pelvic and Acetabular Injuries
- Dialysis and Renal Disease Management
- Colorectal Cancer Screening and Detection
- Gynecological conditions and treatments
- Gestational Trophoblastic Disease Studies
- Prenatal Screening and Diagnostics
Kyoto University
2016-2025
Kyoto University Hospital
2021-2025
Murata (Japan)
2005-2020
Kobe City Medical Center General Hospital
2019-2020
Society of Nuclear Medicine and Molecular Imaging
2018
Kyoto City Hospital
2011
Abstract This study aimed to develop a versatile automatic segmentation model of bladder cancer (BC) on MRI using convolutional neural network and investigate the robustness radiomics features automatically extracted from apparent diffusion coefficient (ADC) maps. two-center retrospective used multi-vendor MR units included 170 patients with BC, whom 140 were assigned training datasets for modified U-net five-fold cross-validation 30 test assessment performance reproducibility features. For...
Natural language processing using models has yielded promising results in various fields. Language can help improve the workflow of radiologists. This retrospective study aimed to construct and evaluate for automatic summarization radiology reports. Two report datasets from MIMIC Chest X-ray (MIMIC-CXR) database Japan Medical Image Database (JMID) were included this study. The MIMIC-CXR is an open comprising chest radiograph JMID a large computed tomography magnetic resonance imaging reports...
Abstract Endometrial cancer (EC) is the most common gynecological tumor in developed countries, and preoperative risk stratification essential for personalized medicine. There have been several radiomics studies noninvasive of EC using MRI. Although segmentation usually necessary these studies, manual not only labor-intensive but may also be subjective. Therefore, our study aimed to perform automatic on MRI with a convolutional neural network. The effect input image sequence batch size...
We aimed to develop and evaluate an automatic prediction system for grading histopathological images of prostate cancer. A total 10,616 whole slide (WSIs) tissue were used in this study. The WSIs from one institution (5160 WSIs) as the development set, while those other (5456 unseen test set. Label distribution learning (LDL) was address a difference label characteristics between sets. combination EfficientNet (a deep model) LDL utilized system. Quadratic weighted kappa (QWK) accuracy set...
In the differential diagnosis between uterine fibroids and sarcomas, real-world magnetic resonance imaging (MRI) diagnostic information is scarce; furthermore, high sensitivity important in clinical practice. We previously developed a algorithm to detect sarcoma with using simple MRI images serum lactate dehydrogenase (LDH) levels. this multicenter study, we investigated preoperative of real world further validated usefulness our algorithm. Of 154 sarcomas treated at 15 centers January 2006...
To evaluate the feasibility of computed diffusion weighted imaging (DWI) in cervical cancer and investigate optimal b-value using DWI.The present retrospective study involved 85 patients with International Federation Gynecology Obstetrics (FIGO) stage IB, IIA or IIB. DWI was obtained b-values 0, 100, 500 1000 s/mm2. Computed 800, 1000, 1300, 1600 2000 s/mm2 (cDWI800, cDWI1000, cDWI1300, cDWI1600, cDWI2000) were generated from all measured (mDWI) data. Qualitatively, evaluated terms tumor...
Seromucinous borderline tumor (SMBT) is a newly categorized ovarian in the 2014 revised World Health Organization (WHO) classification. SMBT similar to serous (SBT) on MRI reflecting their pathological findings. This study was conducted demonstrate usefulness of findings and quantitative values for differentiating from SBT.This retrospective examined 23 lesions (20 patients) 26 (22 SBT. The following were evaluated using receiver-operating characteristics analysis: overall solid portion...
To develop and validate a deep learning (DL) model to automatically diagnose muscle-invasive bladder cancer (MIBC) on MRI with Vision Transformer (ViT).
Purpose: To investigate the influence of microcystic, elongated and fragmented (MELF) pattern invasion on preoperative evaluation lymph node (LN) metastasis myometrial in patients with low-grade endometrial carcinoma.
Abstract The purpose of this study is to evaluate utility MRI in differentiation uterine low-grade endometrial stromal sarcoma (LGESS) from rare leiomyoma variants. This multi-center retrospective included consecutive 25 patients with LGESS and 42 variants who had pretreatment MRI. Two radiologists (R1/R2) independently evaluated features, which were analyzed statistically using Fisher’s exact test or Student's t -test. Subsequently, a five-point Likert scale, the two diagnostic performance...
Objectives The aim of this study was to assess the prognostic and incremental value pretreatment apparent diffusion coefficient (ADC) values tumors for prediction tumor recurrence after complete resection in patients with endometrial cancer. Methods This enrolled 210 stages IA IIIC cancer who had undergone magnetic resonance imaging. minimum mean ADC (ADCmin, ADCmean) normalized (nADCmin, nADCmean) were calculated from primary outcome recurrence-free survival (RFS). Receiver operating...
Background Although age-related change of junctional zone (JZ) the uterus has been known, there no previous systematic study changes uterine peristalsis that is observed as wave conduction thickest or darkest area within JZ. Purpose To examine in pre and postmenopausal women using cine magnetic resonance imaging (MRI), to determine correlation between JZ on T2-weighted (T2W) imaging. Material Methods Cine MRI analysis was performed 64 premenopausal volunteers 43 women. The peristaltic...
Abstract A Wolffian tumor is a rare arising from the remnants of mesonephric duct. Herein, we report two cases. 61‐year‐old woman presented with swollen left adnexa. On T2 weighted magnetic resonance imaging (MRI), 4.4 cm solid pelvic mass showed slightly high signal intensity, low‐signal‐intensity rim. Microscopically, cuboidal cells bland nuclei were arranged in dense tubular form. 40‐year‐old complained lower abdominal pain. MRI, 6.0 rim was found. The pathology resected similar to that...