NON-INVASIVELY IDENTIFYING STROMAL WILMS TUMOUR SUBTYPES USING MRI FROM MULTIPLE HOSPITALS

被引:0
|
作者
Rogers, Harriet [1 ]
Shelmerdine, Susan [2 ]
Hales, Patrick [3 ]
Verhagen, Martijn [4 ]
Laidlow-Singh, Harsimran [5 ]
Schillizzi, Giuseppe [6 ]
Al-Saadi, Reem [7 ]
Chowdhury, Tanzina [8 ]
Pritchard-Jones, Kathy [7 ]
Dzhuma, Kristina [9 ]
Watson, Tom [2 ]
Olsen, Oystein [2 ]
Clark, Christopher [10 ]
机构
[1] Guys & St Thomas NHS Trust, London, England
[2] Great Ormond St Hosp Children NHS Fdn Trust, Dept Radiol, London, England
[3] Perspectum, Mri, Oxford, England
[4] Univ Med Ctr Groningen, Dept Radiol, Groningen, Netherlands
[5] Barts Hlth NHS Trust, Dept Radiol, London, England
[6] Royal Free London NHS Fdn Trust, Dept Radiol, London, England
[7] UCL Great Ormond St Inst Child Hlth, Dev Biol & Canc Res & Teaching Dept, London, England
[8] Great Ormond St Hosp Sick Children, Dept Haematol & Oncol, London, England
[9] Great Ormond St Hosp Children NHS Fdn Trust, Dept Paediat Urol, London, England
[10] UCL Great Ormond St Inst Child Hlth, Dev Imaging & Biophys Sect, London, England
关键词
D O I
暂无
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
EP342
引用
收藏
页数:1
相关论文
共 33 条
  • [21] IDENTIFYING MOLECULAR SUBTYPES OF NON-ENHANCING GLIOMA USING MRI PERFUSION AND DIFFUSION PARAMETERS
    Koene, S.
    Incekara, F.
    van der Voort, S.
    Vincent, A.
    van den Bent, M.
    Nijeholt, G. Lycklama A.
    Tewari, R. Nandoe
    Smits, M.
    NEURO-ONCOLOGY, 2018, 20 : 226 - 226
  • [22] Estimation of Cardiovascular Risk Predictors from Non-Invasively Measured Diametric Pulse Volume Waveforms via Multiple Measurement Information Fusion
    Ghasemi, Zahra
    Lee, Jong Chan
    Kim, Chang-Sei
    Cheng, Hao-Min
    Sung, Shih-Hsien
    Chen, Chen-Huan
    Mukkamala, Ramakrishna
    Hahn, Jin-Oh
    SCIENTIFIC REPORTS, 2018, 8
  • [23] Estimation of Cardiovascular Risk Predictors from Non-Invasively Measured Diametric Pulse Volume Waveforms via Multiple Measurement Information Fusion
    Zahra Ghasemi
    Jong Chan Lee
    Chang-Sei Kim
    Hao-Min Cheng
    Shih-Hsien Sung
    Chen-Huan Chen
    Ramakrishna Mukkamala
    Jin-Oh Hahn
    Scientific Reports, 8
  • [24] Validation of an algorithm using the airflow signal to non-invasively distinguish central from obstructive hypopneas in sleep disordered breathing.
    Abounasr, K. K.
    Mooney, A. M.
    Ayappa, I.
    Rapoport, D. M.
    AMERICAN JOURNAL OF RESPIRATORY AND CRITICAL CARE MEDICINE, 2010, 181
  • [25] Using 18F-fluoroazomycin arabinoside to non-invasively image hypoxia in human tumour xenografts:: A comparative assessment with the Eppendorf electrode and pimonidazole binding.
    Busk, M
    Overgaard, J
    Horsman, MR
    RADIOTHERAPY AND ONCOLOGY, 2006, 78 : S32 - S33
  • [26] Identifying Multiple Sclerosis Lesion Subtypes with Distinct Microstructural Features using Advanced Microstructural MRI and Unsupervised Machine Learning
    Shin, Hyeong-Geol
    Dewey, Blake
    Brabec, Jan
    Li, Xu
    Ezzedin, Omar
    Ecoff, Kaitlyn
    Ramirez, Alexandra
    Duval, Anna
    Fitzgerald, Kathryn
    Prince, Jerry
    Saidha, Shiv
    Calabresi, Peter
    van Zijl, Peter
    MULTIPLE SCLEROSIS JOURNAL, 2023, 29 : 857 - 857
  • [27] MP-MRI-BASED TUMOR PROBABILITY MAPS TRAINED USING AUTOPSY TISSUE SAMPLES AS GROUND TRUTH NON-INVASIVELY PREDICT INFILTRATIVE TUMOR BEYOND THE CONTRAST ENHANCING REGION
    Bobholz, Samuel
    Lowman, Allison
    Brehler, Michael
    Sherman, John
    Duenweg, Savannah
    Kyereme, Fitzgerald
    Connelly, Jennifer
    Cochran, Elizabeth
    Mueller, Wade
    Banerjee, Anjishnu
    LaViolette, Peter
    NEURO-ONCOLOGY, 2021, 23 : 138 - 138
  • [28] Local release of tacrolimus from hydrogel-based drug delivery system is controlled by inflammatory enzymes in vivo and can be monitored non-invasively using in vivo imaging
    Dzhonova, Dzhuliya
    Olariu, Radu
    Leckenby, Jonathan
    Dhayani, Ashish
    Vemula, Praveen Kumar
    Prost, Jean-Christophe
    Banz, Yara
    Taddeo, Adriano
    Rieben, Robert
    PLOS ONE, 2018, 13 (08):
  • [29] Evaluation of non-invasively obtained Amniotic Fluid from different Weeks of Gestation after early premature Rupture of Membranes using three different Blotting Test Methods
    Winter, A.
    McQuivey, R.
    Aigner, F.
    Hock, N.
    Gaugigl, N.
    Sextl, J.
    Roming, M.
    Reuschel, E.
    GEBURTSHILFE UND FRAUENHEILKUNDE, 2023, 83 (06) : 711 - 711
  • [30] Identifying Pathological Subtypes of Brain Metastasis from Lung Cancer Using MRI-Based Deep Learning Approach: A Multicenter Study
    Li, Yuting
    Yu, Ruize
    Chang, Huan
    Yan, Wanying
    Wang, Dawei
    Li, Fuyan
    Cui, Yi
    Wang, Yong
    Wang, Xiao
    Yan, Qingqing
    Liu, Xinhui
    Jia, Wenjing
    Zeng, Qingshi
    JOURNAL OF IMAGING INFORMATICS IN MEDICINE, 2024, 37 (03): : 976 - 987