Cancer invasion and micrometastasis visualized in live tissue by green fluorescent protein expression.

Takashi Chishima, Yasunari Miyagi, Xiaoen Wang, +4

PubMed

Gfp ExpressionTumor BiologyMedicineCancer InvasionCancer Cell Biology +13

Serum C-reactive protein as a prognostic factor in patients with epithelial ovarian cancer

Junichi Kodama, Yasunari Miyagi, Noriko Seki, +5

European Journal of Obstetrics & Gynecology and Reproductive Biology

Epithelial Ovarian CancerPrognostic FactorMedicineGynecologyPathology +5

Rapid and Sensitive Detection of Physical Status of Human Papillomavirus Type 16 DNA by Quantitative Real-Time PCR

Shoji Nagao, Mitsuo Yoshinouchi, Yasunari Miyagi, +4

Journal of Clinical Microbiology

Intraperitoneal carboplatin infusion may be a pharmacologically more reasonable route than intravenous administration as a systemic chemotherapy. A comparative pharmacokinetic analysis of platinum using a new mathematical model after intraperitoneal vs. intravenous infusion of carboplatin—A Sankai Gynecology Study Group (SGSG) study

Yasunari Miyagi, Kentaro Fujiwara, Junzo Kigawa, +5

Gynecologic Oncology

Intravenous InfusionTherapeutic Drug MonitoringOncologyMedicineNew Mathematical Model +7

Vascular endothelial growth factor is implicated in early invasion in cervical cancer

Junichi Kodama, Narihito Seki, Keizo Tokumo, +5

European Journal of Cancer

AngiogenesisCervical CancerEarly InvasionGynecologyPathology +6

Different Angiogenic Pathways in Human Cervical Cancers

Keizo Tokumo, Junichi Kodama, Noriko Seki, +6

Gynecologic Oncology

Precancerous LesionsCervical CancerDifferent Angiogenic PathwaysPathologyPublic Health +3

Down-regulation of the insulin-like growth factor I receptor by antisense RNA can reverse the transformed phenotype of human cervical cancer cell lines.

Keiichiro Nakamura, Atsushi Hongo, Junichi Kodama, +3

PubMed

Antisense RnaImmunologyPathologyTransformed PhenotypeImmunotherapy +16

Feasibility of artificial intelligence for predicting live birth without aneuploidy from a blastocyst image

Yasunari Miyagi, Toshihiro Habara, Rei Hirata, +1

Reproductive Medicine and Biology

Feasibility of deep learning for predicting live birth from a blastocyst image in patients classified by age

Yasunari Miyagi, Toshihiro Habara, Rei Hirata, +1

Reproductive Medicine and Biology

Sclerosing Stromal Tumor of the Ovary: US, MR, and Dynamic MR Findings

Ikuo Joja, Keiko Okuno, Masatoshi Tsunoda, +7

Journal of Computer Assisted Tomography

Health SciencesResonanceGynecologySolid TumorDynamic Mr Findings +5