Poster

Breast & Female Pelvis

Sat. Sep 8, 2018 10:50 AM - 11:20 AM Poster Room (Hotel Nikko Kanazawa, 3F, Kujaku A)

Poster

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[P2-B3-014] Evaluation of early response to neoadjuvant chemotherapy or breast cancer; Usefulness of texture analysis of DCE and histogram analysis of DW-MRI

Yoshifumi Kuroki¹, Nozomi Ohhashi¹, Keishi Watanabe¹, Kei Iha², Akashi Ikehara², Shinji Niimura², Tokiko Niimura² (1.Advanced Imaging Center, Niimura Hospital, 2.Department of Urology, Niimura Hospital)

[P2-B3-015] Computed high b-value DWI for improving image conspicuity of breast tumor: a comparative study with actual measured DWI

Takayuki Tamura¹, Miyuki Takasu², Toru Higaki³, Kazushi Yokomachi¹, Yuji Akiyama¹, Hiroomi Sumida¹, Yasushi Nagata⁴, Kazuo Awai^2,3 (1.Depratment of Clinical surport, Image diagnostic, Hiroshima University Hospital, 2.Department of Diagnostic Radiology, Hiroshima University, 3.Graduate School of Biomedical & Health Sciences, Hiroshima University, 4.Department of Radiology, Hiroshima University Hospital)

[P2-B3-016] Reduced field-of-view diffusion-weighted MR imaging for assessing the local extent of uterine cervical cancer

Mayumi Takeuchi¹, Kenji Matsuzaki², Masafumi Harada¹ (1.Department of Radiology, Tokushima University, 2.Department of Radiological Technology, Tokushima Bunri University)

[P2-B3-017] Predicting early response to chemoradiotherapy for uterine cervical cancer using intravoxel incoherent motion MR imaging

Hiroki Kato, Kae Esaki, Takahiro Yamaguchi, Hidekazu Tanaka, Masayuki Matsuo (Department of Radiology, Gifu University School of Medicine)

[P2-B3-018] Accuracy of T1 measurements for the uterus Using Variable Flip Angle methods with B1 Correction by Bloch-Siegert method

Sadahiro Nakagawa¹, Shunta Ishitoya², Toshiharu Moriya¹, Takafumi Nakata¹, Naoto Mori¹, Eriko Takabayashi², Kunihiro Iwata¹, Akiko Ohya², Masakazu Uno¹, Atsutaka Okizaki² (1.Section of Radiological Technology, Department of Medical Technology, Asahikawa Medical University Hospital, 2.Department of Radiology, Asahikawa Medical University)

[P2-B3-019] Study of the contrast improvement of PROPELLER T2-weighted images in the gynecological area

Yuto Kinoshita, Ryu Iijima (Ageo Central General Hospital)

[P2-B3-020] Characterization of cystic ovarian lesions using machine learning: comparison with quantitative and qualitative assessment

Tomohiro Namimoto, Yoko Kikuchi, Takeshi Nakaura, Masataka Nakagawa, Seitaro Oda, Yasuyuki Yamashita (Department of Diagnostic Radiology, Kumamoto University)