Radiomic models based on dynamic contrast-enhanced magnetic resonance imaging predict the immunophenotype reflecting spatial distribution of CD8+tumor-infiltrating lymphocytes in breast cancer

被引:0
|
作者
Jeon, Seung Hyuck
Kim, So-Woon
Seo, Mirinae
Lim, Yu Jin
机构
关键词
D O I
10.1158/1538-7445.SABCS22-P1-05-17
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
P1-05-17
引用
收藏
页数:2
相关论文
共 50 条
  • [21] Radiomic signatures with contrast-enhanced magnetic resonance imaging for the assessment of breast cancer receptor status and molecular subtypes: initial results
    Doris Leithner
    Joao V. Horvat
    Maria Adele Marino
    Blanca Bernard-Davila
    Maxine S. Jochelson
    R. Elena Ochoa-Albiztegui
    Danny F. Martinez
    Elizabeth A. Morris
    Sunitha Thakur
    Katja Pinker
    Breast Cancer Research, 21
  • [22] SEMIQUANTITATIVE AND QUANTITATIVE DYNAMIC CONTRAST-ENHANCED MAGNETIC RESONANCE IMAGING MEASUREMENTS PREDICT RADIATION RESPONSE IN CERVIX CANCER
    Zahra, Mark A.
    Tan, Li Tee
    Priest, Andrew N.
    Graves, Martin J.
    Arends, Mark
    Crawford, Robin A. F.
    Brenton, James D.
    Lomas, David J.
    Sala, Evis
    INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2009, 74 (03): : 766 - 773
  • [23] Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging to predict extramural venous invasion in rectal cancer
    Ke-xin Wang
    Jing Yu
    Qing Xu
    BMC Medical Imaging, 23
  • [24] Histogram analysis of dynamic contrast-enhanced magnetic resonance imaging to predict extramural venous invasion in rectal cancer
    Wang, Ke-xin
    Yu, Jing
    Xu, Qing
    BMC MEDICAL IMAGING, 2023, 23 (01)
  • [25] Effect of tamoxifen in an experimental model of breast tumor studied by dynamic contrast-enhanced magnetic resonance imaging and different contrast agents
    Marzola, P
    Ramponi, S
    Nicolato, E
    Lovati, E
    Sandri, M
    Calderan, L
    Crescimanno, C
    Merigo, F
    Sbarbati, A
    Grotti, A
    Vultaggio, S
    Cavagna, F
    Lorusso, V
    Osculati, F
    INVESTIGATIVE RADIOLOGY, 2005, 40 (07) : 421 - 429
  • [26] Radiomic and Artificial Intelligence Analysis with Textural Metrics Extracted by Contrast-Enhanced Mammography and Dynamic Contrast Magnetic Resonance Imaging to Detect Breast Malignant Lesions
    Fusco, Roberta
    Di Bernardo, Elio
    Piccirillo, Adele
    Rubulotta, Maria Rosaria
    Petrosino, Teresa
    Barretta, Maria Luisa
    Raso, Mauro Mattace
    Vallone, Paolo
    Raiano, Concetta
    Di Giacomo, Raimondo
    Siani, Claudio
    Avino, Franca
    Scognamiglio, Giosue
    Di Bonito, Maurizio
    Granata, Vincenza
    Petrillo, Antonella
    CURRENT ONCOLOGY, 2022, 29 (03) : 1947 - 1966
  • [27] Dynamic contrast-enhanced magnetic resonance imaging radiomics analysis based on intratumoral subregions for predicting luminal and nonluminal breast cancer
    Feng, Shuqian
    Yin, Jiandong
    QUANTITATIVE IMAGING IN MEDICINE AND SURGERY, 2023, 13 (10) : 6735 - +
  • [28] Early prediction of neoadjuvant chemotherapy efficacy for mass breast cancer based on dynamic contrast-enhanced magnetic resonance imaging radiomics
    Cao, Pei-Wei
    Deng, Xue-Ying
    Pan, Yue-Peng
    Nan, Shuai-Ming
    Yu, Chang
    MEDCOMM-ONCOLOGY, 2024, 3 (03):
  • [29] Relationship between kinetic parameters of ultrafast dynamic contrast-enhanced (DCE) MRI and tumor-infiltrating lymphocytes (TILs) in breast cancer
    Yamaguchi, Ken
    Nakazono, Takahiko
    Egashira, Ryoko
    Fukui, Shuichi
    Imaizumi, Tsutomu
    Maruyama, Katsuya
    Nickel, Dominik
    Hamamoto, Takahiro
    Yamaguchi, Rin
    Irie, Hiroyuki
    JAPANESE JOURNAL OF RADIOLOGY, 2024, : 43 - 50
  • [30] Diagnostic value of dynamic contrast-enhanced magnetic resonance imaging in rectal cancer and its correlation with tumor differentiation
    Shen, Fu
    Lu, Jianping
    Chen, Luguang
    Wang, Zhen
    Chen, Yukun
    MOLECULAR AND CLINICAL ONCOLOGY, 2016, 4 (04) : 500 - 506