Multicontrast MRI-based radiomics for the prediction of pathological complete response to neoadjuvant chemotherapy in patients with early triple negative breast cancer

被引:0
|
作者
Angeline Nemeth
Pierre Chaudet
Benjamin Leporq
Pierre-Etienne Heudel
Fanny Barabas
Olivier Tredan
Isabelle Treilleux
Agnès Coulon
Frank Pilleul
Olivier Beuf
机构
[1] Univ Lyon,Department of Radiology
[2] INSA‐Lyon,Department of Medical Oncology
[3] Université Claude Bernard Lyon 1,Department of Pathology
[4] UJM-Saint Etienne,undefined
[5] CNRS,undefined
[6] Inserm,undefined
[7] CREATIS UMR 5220,undefined
[8] U1206,undefined
[9] Centre Léon Bérard,undefined
[10] Centre Léon Bérard,undefined
[11] Centre Leon Bérard,undefined
[12] Centre Léon Bérard,undefined
关键词
Breast cancer; Radiomics; Multi-contrast MRI; Triple negative breast cancer;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:833 / 844
页数:11
相关论文
共 50 条
  • [1] Multicontrast MRI-based radiomics for the prediction of pathological complete response to neoadjuvant chemotherapy in patients with early triple negative breast cancer
    Nemeth, Angeline
    Chaudet, Pierre
    Leporq, Benjamin
    Heudel, Pierre-Etienne
    Barabas, Fanny
    Tredan, Olivier
    Treilleux, Isabelle
    Coulon, Agnes
    Pilleul, Frank
    Beuf, Olivier
    [J]. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE, 2021, 34 (06) : 833 - 844
  • [2] Pretreatment Sarcopenia and MRI-Based Radiomics to Predict the Response of Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer
    Guo, Jiamin
    Meng, Wenjun
    Li, Qian
    Zheng, Yichen
    Yin, Hongkun
    Liu, Ying
    Zhao, Shuang
    Ma, Ji
    [J]. BIOENGINEERING-BASEL, 2024, 11 (07):
  • [3] Prediction of pathological complete response to neoadjuvant chemotherapy in early triple negative breast cancer patients by serial breast ultrasound examination
    Rapoport, Bernardo
    Smit, Teresa
    Heyman, Liezl
    Moosa, Farhana
    Benn, Carol Ann
    [J]. CANCER RESEARCH, 2021, 81 (04)
  • [4] Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer
    Umutlu, Lale
    Kirchner, Julian
    Bruckmann, Nils-Martin
    Morawitz, Janna
    Antoch, Gerald
    Ting, Saskia
    Bittner, Ann-Kathrin
    Hoffmann, Oliver
    Haeberle, Lena
    Ruckhaeberle, Eugen
    Catalano, Onofrio Antonio
    Chodyla, Michal
    Grueneisen, Johannes
    Quick, Harald H.
    Fendler, Wolfgang P.
    Rischpler, Christoph
    Herrmann, Ken
    Gibbs, Peter
    Pinker, Katja
    [J]. CANCERS, 2022, 14 (07)
  • [5] Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer
    Li, Jing
    Yin, Hongkun
    Wang, Yi
    Zhang, Hongkai
    Ma, Fei
    Li, Hailiang
    Qu, Jinrong
    [J]. EUROPEAN RADIOLOGY, 2023, 33 (04) : 2746 - 2756
  • [6] Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer
    Jing Li
    Hongkun Yin
    Yi Wang
    Hongkai Zhang
    Fei Ma
    Hailiang Li
    Jinrong Qu
    [J]. European Radiology, 2023, 33 : 2746 - 2756
  • [7] MRI-based response patterns during neoadjuvant chemotherapy can predict pathological (complete) response in patients with breast cancer
    Goorts, Briete X. Z.
    Dreuning, Kelly M. A.
    Houwers, Janneke B.
    Kooreman, Loes F. S.
    Boerma, Evert-Jan G.
    Mann, Ritse M.
    Lobbes, Marc B. I.
    Smidt, Marjolein L.
    [J]. BREAST CANCER RESEARCH, 2018, 20
  • [8] MRI-based response patterns during neoadjuvant chemotherapy can predict pathological (complete) response in patients with breast cancer
    Briete Goorts
    Kelly M. A. Dreuning
    Janneke B. Houwers
    Loes F. S. Kooreman
    Evert-Jan G. Boerma
    Ritse M. Mann
    Marc B. I. Lobbes
    Marjolein L. Smidt
    [J]. Breast Cancer Research, 20
  • [9] Prediction of pathological complete response using radiomics on MRI in patients with breast cancer undergoing neoadjuvant pharmacotherapy
    Yuka Kuramoto
    Natsumi Wada
    Yoshikazu Uchiyama
    [J]. International Journal of Computer Assisted Radiology and Surgery, 2022, 17 : 619 - 625
  • [10] Prediction of pathological complete response using radiomics on MRI in patients with breast cancer undergoing neoadjuvant pharmacotherapy
    Kuramoto, Yuka
    Wada, Natsumi
    Uchiyama, Yoshikazu
    [J]. INTERNATIONAL JOURNAL OF COMPUTER ASSISTED RADIOLOGY AND SURGERY, 2022, 17 (04) : 619 - 625