Predicting response to neoadjuvant chemotherapy

被引：0
|
作者：
机构：
来源：
Nature Reviews Urology | 2014年 / 11卷 / 7期
关键词：
D O I：
10.1038/nrurol.2014.155
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：364 / 364
相关论文
共 50 条
  • [31] Predicting the response to neoadjuvant chemotherapy for breast cancer: wavelet transforming radiomics in MRI
    Zhou, Jiali
    Lu, Jinghui
    Gao, Chen
    Zeng, Jingjing
    Zhou, Changyu
    Lai, Xiaobo
    Cai, Wenli
    Xu, Maosheng
    [J]. BMC CANCER, 2020, 20 (01)
  • [32] Predicting Complete Response to Neoadjuvant Chemotherapy in Muscle-Invasive Bladder Cancer
    Miyagi, Hiroko
    Kwenda, Elizabeth
    Ramnaraign, Brian H.
    Chatzkel, Jonathan A.
    Brisbane, Wayne G.
    O'Malley, Padraic
    Crispen, Paul L.
    [J]. CANCERS, 2023, 15 (01)
  • [33] Predicting Response - The Use of Neoadjuvant Chemotherapy in Breast Cancer, A 5 Year Review
    Francis, E.
    Lowery, A. J.
    Walsh, S.
    Prichard, R. S.
    Geraghty, J.
    Evoy, D.
    McDermott, E. W.
    [J]. IRISH JOURNAL OF MEDICAL SCIENCE, 2012, 181 : S156 - S156
  • [34] Predicting response to breast cancer neoadjuvant chemotherapy using diffuse optical spectroscopy
    Cerussi, Albert
    Hsiang, David
    Shah, Natasha
    Mehta, Rita
    Durkin, Amanda
    Butler, John
    Tromberg, Bruce J.
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2007, 104 (10) : 4014 - 4019
  • [35] Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks
    Ypsilantis, Petros-Pavlos
    Siddique, Musib
    Sohn, Hyon-Mok
    Davies, Andrew
    Cook, Gary
    Goh, Vicky
    Montana, Giovanni
    [J]. PLOS ONE, 2015, 10 (09):
  • [36] Power Doppler vascularity index for predicting the response of neoadjuvant chemotherapy in cervical carcinoma
    Chen, CA
    Cheng, WF
    Lee, CN
    Su, YN
    Hsieh, CY
    Hsieh, FJ
    [J]. ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA, 2004, 83 (06) : 591 - 597
  • [37] Predicting the response to neoadjuvant chemotherapy for breast cancer: wavelet transforming radiomics in MRI
    Jiali Zhou
    Jinghui Lu
    Chen Gao
    Jingjing Zeng
    Changyu Zhou
    Xiaobo Lai
    Wenli Cai
    Maosheng Xu
    [J]. BMC Cancer, 20
  • [38] Predicting dynamic response to neoadjuvant chemotherapy in breast cancer: a novel metabolomics approach
    Diaz, Caridad
    Gonzalez-Olmedo, Carmen
    Diaz-Beltran, Leticia
    Camacho, Jose
    Mena Garcia, Patricia
    Martin-Blazquez, Ariadna
    Fernandez-Navarro, Monica
    Ortega-Granados, Ana Laura
    Galvez-Montosa, Fernando
    Marchal, Juan Antonio
    Vicente, Francisca
    Perez del Palacio, Jose
    Sanchez-Rovira, Pedro
    [J]. MOLECULAR ONCOLOGY, 2022, 16 (14) : 2658 - 2671
  • [39] Predicting response to neoadjuvant letrozole
    Larionov, A.
    Turnbull, A.
    Sims, A.
    Renshaw, L.
    Kay, C.
    Harrison, D.
    Dixon, J. M.
    [J]. CANCER RESEARCH, 2012, 72
  • [40] PROGNOSTIC SIGNIFICANCE OF RESPONSE TO NEOADJUVANT FOLFIRINOX CHEMOTHERAPY AND EFFICACY OF ADJUVANT CHEMOTHERAPY ACCORDING TO RESPONSE TO NEOADJUVANT FOLFRINOX CHEMOTHERAPY
    Yun, Won-Gun
    Han, Youngmin
    Lee, Mirang
    Cho, Young Jae
    Jung, Hye-Sol
    Kwon, Wooil
    Jang, Jin-Young
    [J]. GASTROENTEROLOGY, 2023, 164 (06) : S1509 - S1509
12345