Sequential scans of 18F-flutemetamol PET using PET/CT and PET/MRI: influence of amyloid burden, scan interval, and age [0.03%]
基于PET/MRI和PET/CT的氟-18标记flutemetamol-PET扫描：淀粉样蛋白负荷、扫描间隔及年龄的影响
Shin Morooka,Yasutaka Fushimi,Sachi Okuchi et al.
Shin Morooka et al.
Purpose: We aimed to compare visual and quantitative assessments between PET/CT at 90 min and sequential PET/MRI at approximately 120 min after injection of 18F-flutemetamol, and to investigate factors affecting differenc...
Super-resolution deep learning reconstruction improves brain MRI quality and detection of metastases [0.03%]
超分辨率深度学习重建可提高脑MRI图像质量和脑转移灶的检出率
Yusuke Asari,Koichiro Yasaka,Jun Kanzawa et al.
Yusuke Asari et al.
Purpose: Accurate identification of brain metastases is critical for determining prognosis and guiding treatment. Deep learning reconstruction (DLR) enhances MRI quality by reducing noise, while super-resolution DLR (SR-D...
Nationwide perspective on bear-inflicted injuries in japan and future directions for data integration: a reply to the comment on "CT-based assessment of bear-inflicted maxillofacial injuries" [0.03%]
日本熊所致伤害的全国视角及未来数据整合方向——对“基于CT的熊所致颌面损伤评估”的评论的回复
Naoko Mori,Kento Hatakeyama,Miki Tozuka et al.
Naoko Mori et al.
Early washout in encapsulated papillary carcinoma on ultrafast DCE-MRI [0.03%]
超快DCE-MRI在被囊乳头状癌中的早期清除现象
Yusuke Jo,Mami Iima,Hiroko Satake
Yusuke Jo
Clinical outcomes of endovascular therapy strategy based on thrombus location for acute superior mesenteric artery occlusion [0.03%]
基于血栓位置的急性肠系膜上动脉闭塞血管内治疗策略临床疗效分析
Tatsuo Ueda,Fumie Sugihara,Hidemasa Saito et al.
Tatsuo Ueda et al.
Purpose: To evaluate the short-term outcomes of patients with acute superior mesenteric artery occlusion who underwent endovascular therapy using different endovascular techniques based on thrombus location. ...
Survey data analysis of treatment planning methods in particle therapy facilities [0.03%]
粒子治疗设施中治疗计划方法的调查数据分析
Yuya Miyasaka,Yuki Tominaga,Yushi Wakisaka et al.
Yuya Miyasaka et al.
Purpose: We conducted a survey on various parameters and methods of treatment planning for particle therapy. Methods: A questionnaire w...
Machine learning pipeline for automated segmentation and classification of complicated cystic renal masses on MRI: comparison with radiologists' assessments [0.03%]
基于MRI的复杂囊性肾脏病变自动分割和分类的机器学习流程：与放射科医生评估结果对比研究
Huanhuan Kang,Elzat Elham,Zhongyi Wang et al.
Huanhuan Kang et al.
Purpose: To develop and validate a machine learning (ML)-based pipeline for automated segmentation and classification of complicated cystic renal masses (cCRMs) on MRI. ...
A modified method of lung tissue volume measurement using computed tomography numbers [0.03%]
一种利用CT值测量肺组织体积的方法及其改良方法
Taiga Kobayashi,Yoshie Kunihiro,Masaki Takemitsu et al.
Taiga Kobayashi et al.
Purpose: The values of lung tissue volume obtained by computed tomography (CT)-based analyses tend to be larger than those obtained by other methods. Establishing accurate reference values for normal lung tissue volume is...
Shinji Naganawa
Shinji Naganawa
Dosimetric analysis and clinical outcomes including adverse events in postoperative breast cancer irradiation involving the internal mammary lymph node region using Hybrid VMAT [0.03%]
混合VMAT勾画内乳淋巴结区的术后乳腺癌患者放射治疗剂量学分析及不良事件等临床结局的研究
Soichiro Ishihara,Yoshiko Doi,Minoru Nakao et al.
Soichiro Ishihara et al.
Background: Although radiotherapy including the internal mammary lymph nodes (IMN) after breast surgery improves the prognosis of breast cancer, it may also increase radiation exposure to the heart and lungs due to the ex...