Diffusion-weighted imaging-based radiomics model using automatic machine learning to differentiate cerebral cystic metastases from brain abscesses

被引:0
|
作者
Linyang Cui
Zheng Qin
Siyuan Sun
Weihua Feng
Mingyuan Hou
Dexin Yu
机构
[1] Qilu Hospital of Shandong University,Department of Radiology
[2] Weihai Central Hospital Affiliated to Qingdao University,Department of Radiology
[3] Cheeloo College of Medicine,Department of Radiology
[4] Shandong University,Department of Imaging
[5] Qilu Pharmaceutical Co.,undefined
[6] Ltd,undefined
[7] The Affiliated Hospital of Qingdao University,undefined
[8] The Affiliated Weihai Second Municipal Hospital of Qingdao University,undefined
关键词
Image normalization; Tree-based optimization tool; Cerebral cystic metastases; Brain abscesses;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [1] Diffusion-weighted imaging-based radiomics model using automatic machine learning to differentiate cerebral cystic metastases from brain abscesses
    Cui, Linyang
    Qin, Zheng
    Sun, Siyuan
    Feng, Weihua
    Hou, Mingyuan
    Yu, Dexin
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2024, 150 (03)
  • [2] Can machine learning models improve early detection of brain metastases using diffusion weighted imaging-based radiomics?
    Madamesila, Joseph
    Tchistiakova, Ekaterina
    Faruqi, Salman
    Das, Subhadip
    Ploquin, Nicolas
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (12) : 7706 - 7718
  • [3] Multiple brain abscesses - Differentiation from cerebral metastases by diffusion-weighted magnetic resonance imaging
    Tsuchiya, K
    Yamakami, N
    Hachiya, J
    Saito, I
    Kobayashi, H
    INTERNATIONAL JOURNAL OF NEURORADIOLOGY, 1998, 4 (04): : 258 - 262
  • [4] Early detection of brain metastases using diffusion weighted imaging radiomics and machine learning
    Madamesila, J.
    Tchistiakova, E.
    Ploquin, N.
    RADIOTHERAPY AND ONCOLOGY, 2022, 170 : S1566 - S1567
  • [5] Brain abscesses in diffusion-weighted imaging (DWI) -: comparison to cystic brain tumors
    Tomczak, R
    Wunderlich, A
    Görich, J
    Brambs, HJ
    Rilinger, N
    RADIOLOGE, 2003, 43 (08): : 661 - 664
  • [6] Cerebral schistosomiasis: diffusion-weighted imaging helps to differentiate from brain glioma and metastasis
    Huang, Jinbai
    Luo, Jing
    Peng, Jie
    Yang, Tao
    Zheng, Huanghua
    Mao, Chunping
    ACTA RADIOLOGICA, 2017, 58 (11) : 1371 - 1377
  • [7] Importance of diffusion-weighted imaging in the diagnosis of cystic brain tumors and intracerebral abscesses
    Bink, A
    Gaa, J
    Franz, K
    Weidauer, S
    Yan, B
    Lanfermann, H
    Seifert, V
    Zanella, FE
    ZENTRALBLATT FUR NEUROCHIRURGIE, 2005, 66 (03): : 119 - 125
  • [8] Discrimination of capsular stage brain abscesses from necrotic or cystic neoplasms using diffusion-weighted magnetic resonance imaging
    Fertikh, Djamil
    Krejza, Jaroslaw
    Cunqueiro, Alain
    Danish, Shabbar
    Alokaili, Riyadh
    Melhem, Elias R.
    JOURNAL OF NEUROSURGERY, 2007, 106 (01) : 76 - 81
  • [9] CRANIAL METASTASIS DETECTION USING LONGITUDINAL VOXEL-WISE RADIOMICS AND DIFFUSION WEIGHTED IMAGING-BASED MACHINE LEARNING
    Madamesila, Joseph
    Ploquin, Nicolas
    Faruqi, Salman
    Das, Subhadip
    Tchistiakova, Ekaterina
    RADIOTHERAPY AND ONCOLOGY, 2023, 186 : S50 - S50
  • [10] Diffusion-weighted imaging-based radiomics in epithelial ovarian tumors: Assessment of histologic subtype
    Xu, Yi
    Luo, Hong-Jian
    Ren, Jialiang
    Guo, Li-mei
    Niu, Jinliang
    Song, Xiaoli
    FRONTIERS IN ONCOLOGY, 2022, 12