日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Precision medicine in myeloma demands precision imaging: is whole body MRI the solution?

多发性骨髓瘤的精准医疗需要精准成像:全身磁共振成像是否是解决方案?

Messiou, Christina; Kaiser, Martin

Patient-Specific Biases in Fat Fraction Estimates of Malignant Bone Marrow due to Relaxation Times Measured With STEAM at 3T

利用3T磁共振STEAM技术测量的弛豫时间导致恶性骨髓脂肪分数估计存在患者特异性偏差。

Azma, Yassine N; Collins, David J; Lally, Pete J; Tunariu, Nina; Koh, Dow-Mu; Messiou, Christina; Charles-Edwards, Geoff; Triantafyllou, Christina; Bangerter, Neal K; Winfield, Jessica M

Whole body MRI by MY-RADS for imaging response assessment in multiple myeloma

多发性骨髓瘤的影像学反应评估:采用 MY-RADS 进行全身 MRI 检查

Messiou, Christina; Porta, Nuria; Koh, Dow-Mu; Riddell, Angela; Downey, Katherine; Croft, James; Conneely, Leonora; Hopkinson, Georgina; Dragan, Alina; Brown, Tommy; Stern, Simon; Cheung, Betty; Kyriakou, Charalampia; Kaczmarek, Pawel; Boyd, Kevin; Pawlyn, Charlotte; Winfield, Jessica; Kaiser, Martin F

Genetic predisposition in sarcomas: clinical implications and management

肉瘤的遗传易感性:临床意义和治疗

Connolly, Elizabeth A; Boye, Kjetil; Bonvalot, Sylvie; Kratz, Christian P; Leithner, Andreas; Malkin, David; Messiou, Christina; Miah, Aisha B; Pantziarka, Pan; Timmermann, Beate; van der Graaf, Winette T A; Thomas, David M; Stacchiotti, Silvia

Medical machine learning operations: a framework to facilitate clinical AI development and deployment in radiology

医学机器学习操作:一个促进放射学临床人工智能开发和部署的框架

de Almeida, José Guilherme; Messiou, Christina; Withey, Sam J; Matos, Celso; Koh, Dow-Mu; Papanikolaou, Nickolas

AI-augmented reconstruction provides improved image quality and enables shorter breath-holds in contrast-enhanced liver MRI

人工智能增强重建技术可提高图像质量,并缩短对比增强肝脏磁共振成像的屏气时间。

Castagnoli, Francesca; Rata, Mihaela; Shur, Joshua; Hopkinson, Georgina; Macdonald, Alison; Stockton, David; Nickel, Marcel Dominik; Kannengiesser, Stephan; Messiou, Christina; Koh, Dow-Mu; Winfield, Jessica Mary

An open-source repository-based tool for quality control of imaging protocol compliance: demonstration in a multicentre MRI study

基于开源存储库的成像方案合规性质量控制工具:在多中心 MRI 研究中的演示

Keaveney, Sam; McHugh, Damien J; Rata, Mihaela; Dragan, Alina; Winfield, Jessica M; Doran, Simon J; Blackledge, Matthew D; Scurr, Erica; Koh, Dow-Mu; Berks, Michael; Gill, Andrew B; Birchall, Jonathan R; O'Connor, James P B; King, Alexander; Rennie, Winston J; Gaba, Suchi; Suresh, Priya; Malcolm, Paul; Davis, Amy; Nilak, Anjumara; Shah, Aarti; Gandhi, Sanjay; Albrizio, Mauro; Pratt, Guy; Cook, Gordon; Hall, Andrew; Roberts, Sadie; Jenner, Matthew; Brown, Sarah; Kaiser, Martin; Hubbard Cristinacce, Penny L; Messiou, Christina

Multiparametric magnetic resonance imaging for radiotherapy response evaluation in high-risk soft tissue sarcoma: A pilot study

多参数磁共振成像在评估高危软组织肉瘤放射治疗反应中的应用:一项初步研究

van Meekeren, Milan; van Houdt, Petra J; Fiocco, Marta; Winfield, Jessica M; Messiou, Christina; Heeres, Birthe C; Gelderblom, Hans; Steeghs, Neeltje; Haas, Rick; van Langevelde, Kirsten

Domain-Adaptive and Per-Fraction Guided Deep Learning Framework for Magnetic Resonance Imaging-Based Segmentation of Organs at Risk in Gynecologic Cancers

基于磁共振成像的妇科癌症危险器官分割的域自适应和分次引导深度学习框架

Kalantar, Reza; Ingle, Manasi; Rieu, Romelie; Curcean, Sebastian; Winfield, Jessica Mary; Lin, Gigin; Messiou, Christina; Lalondrelle, Susan; Koh, Dow-Mu; Blackledge, Matthew David

Comparison of MRI imaging features to differentiate degenerating fibroids from uterine leiomyosarcomas

比较MRI成像特征以鉴别退行性子宫肌瘤和子宫平滑肌肉瘤

Loughborough, William W; Rockall, Andrea G; Gagliardi, Tanja T; Satchwell, Laura; Greenlay, Emily; Osborne, Piers; Bharwani, Nishat; Ind, Thomas; Attygalle, Ayoma; Lother, Dione; Hopkinson, Georgina; Jones, Robin; Benson, Charlotte; Miah, Aisha; Sohaib, Aslam; Messiou, Christina