Predicting patient-level extranodal extension using pre-treatment computed tomography imaging

被引：0
|
作者：
Kim, Sejin [1 ,2 ]
Hope, Andrew J. [1 ,3 ]
Huang, Shao Hui [1 ,3 ,4 ]
Yu, Eugene [1 ,5 ,6 ]
Bratman, Scott [1 ,3 ]
O'Sullivan, Brian [1 ,3 ,4 ]
De Almeida, John R. [1 ,4 ]
Yao, Christopher M. K. L. [1 ,4 ]
McIntosh, Chris [1 ,2 ,7 ]
Haibe-Kains, Benjamin [1 ,2 ,7 ]
机构：
[1] Univ Hlth Network, Princess Margaret Canc Ctr, Toronto, ON, Canada
[2] Univ Toronto, Med Biophys, Toronto, ON, Canada
[3] Univ Toronto, Dept Radiat Oncol, Toronto, ON, Canada
[4] Univ Toronto, Dept Otolaryngol Head & Neck Surg, Toronto, ON, Canada
[5] Univ Toronto, Dept Med Imaging, Toronto, ON, Canada
[6] Univ Hlth Network, Dept Otolaryngol Head & Neck Surg, Toronto, ON, Canada
[7] Univ Toronto, Comp Sci, Toronto, ON, Canada
来源：
RADIOTHERAPY AND ONCOLOGY | 2024年 / 192卷
关键词：
extranodal extension; deep learning; prognosis;
D O I：
暂无
中图分类号：
R73 [肿瘤学];
学科分类号：
100214 ;
摘要：
255
引用
收藏
页码：S62 / S65
页数：5
相关论文
共 50 条
  • [21] Patient Specific IMRT Pre-Treatment Verification Using A Commercial Portal Dosimetry Software
    Varatharaj, C.
    Moretti, E.
    Manickam, R.
    Padovani, R.
    MEDICAL PHYSICS, 2012, 39 (06) : 3788 - 3788
  • [22] Prognostic value of radiological extranodal extension detected by computed tomography for predicting outcomes in head and neck squamous cell cancer patients treated with radical chemoradiotherapy.
    Mahajan, Abhishek
    Chand, Ankur
    Patil, Vijay Maruti
    Noronha, Vanita
    Joshi, Amit
    Sable, Nilesh
    Ahuja, Ankita
    Menon, Nandini Sharrel
    Agarwal, Jaiprakash
    Laskar, Sarbani Ghosh
    D'Cruz, Anil
    Chaturvedi, Pankaj
    Chaukar, D.
    Pai, P. S.
    Pantvaidya, Gouri
    Thiagarajan, Shivakumar
    Vaish, Richa
    Rane, Swapnil
    Prabhash, Kumar
    JOURNAL OF CLINICAL ONCOLOGY, 2020, 38 (15)
  • [23] Imaging features and safety and efficacy of endovascular stroke treatment: a meta-analysis of individual patient-level data
    Roman, Luis San
    Menon, Bijoy K.
    Blasco, Jordi
    Hernandez-Perez, Maria
    Davalos, Antoni
    Majoie, Charles B. L. M.
    Campbell, Bruce C. V.
    Guillemin, Francis
    Lingsma, Hester
    Anxionnat, Rene
    Epstein, Jonathan
    Saver, Jeffrey L.
    Marquering, Henk
    Wong, John H.
    Lopes, Demetrius
    Reimann, Gernot
    Desal, Hubert
    Dippel, Diederik W. J.
    Coutts, Shelagh
    de Rochemont, Richard du Mesnil
    Yavagal, Dileep
    Ferre, Jean Christophe
    Roos, Yvo B. W. E. M.
    Liebeskind, David S.
    Lenthall, Robert
    Molina, Carlos
    Al Ajlan, Fahad S.
    Reddy, Vivek
    Dowlatshahi, Dar
    Nader-Antoine, Sourour
    Oppenheim, Catherine
    Mitha, Alim P.
    Davis, Stephen M.
    Weimar, Christian
    van Oostenbrugge, Robert J.
    Cobo, Erik
    Kleinig, Timothy J.
    Donnan, Geoffrey A.
    van der Lugt, Aad
    Demchuk, Andrew M.
    Berkhemer, Olvert A.
    Boers, Anna M. M.
    Ford, Gary A.
    Muir, Keith W.
    Brown, B. Scott
    Jovin, Tudor
    van Zwam, Wim H.
    Mitchell, Peter J.
    Hill, Michael D.
    White, Phil
    LANCET NEUROLOGY, 2018, 17 (10): : 895 - 904
  • [24] Impact of pre-treatment extracellular volume fraction measured by computed tomography on response of primary lesion to preoperative chemotherapy in abdominal neuroblastoma
    Wang, Haoru
    Chen, Xin
    Xie, Mingye
    Qin, Jinjie
    Li, Ting
    He, Ling
    CLINICS, 2024, 79
  • [25] Assessment of the association between pre-treatment and post-treatment left atrium size and severity of disease in patients with acute pulmonary embolism by using computed tomography pulmonary angiography
    Aslan, Kerim
    Polat, Ahmet Veysel
    Guzel, Aygul
    Ozturk, Mesut
    TUBERKULOZ VE TORAK-TUBERCULOSIS AND THORAX, 2019, 67 (01): : 1 - 7
  • [26] ESTIMATING THE IMPACT OF DELAYED TREATMENT FOR MAJOR DEPRESSIVE DISORDER USING A CONTINUOUSTIME PATIENT-LEVEL SIMULATION MODEL
    Chapman, R.
    Cheng, M.
    Xie, R.
    VALUE IN HEALTH, 2024, 27 (06) : S149 - S149
  • [27] Estimating lung function from computed tomography at the patient and lobe level using machine learning
    Boulogne, Luuk H.
    Charbonnier, Jean-Paul
    Jacobs, Colin
    van der Heijden, Erik H. F. M.
    van Ginneken, Bram
    MEDICAL PHYSICS, 2024, 51 (04) : 2834 - 2845
  • [28] Patient-Specific Pre-Treatment VMAT Plan Verification Using Gamma Passing Rates
    Arsalan, M. Z.
    Kakakhel, M. B.
    Shamshad, M.
    Afridi, T. A.
    ATOM INDONESIA, 2023, 49 (01) : 53 - 59
  • [29] Predicting patient response to cancer immunotherapy using quantitative computed tomography based texture analysis.
    Gordon, Joshua Ian
    Gordon, Michael S.
    Korn, Ronald Lee
    JOURNAL OF CLINICAL ONCOLOGY, 2017, 35
  • [30] IGBT FOR HDR PROSTATE TREATMENT: PRE-TREATMENT VERIFICATION USING CONE BEAM IMAGING TO DETERMINE CATHETER DISPLACEMENT
    Holly, R.
    Sankreacha, R.
    Morton, G.
    RADIOTHERAPY AND ONCOLOGY, 2008, 88 : S7 - S7
12345