Imaging features of breast cancer molecular subtypes: state of the art

被引:17
作者
Cho, Nariya [1 ,2 ,3 ]
机构
[1] Seoul Natl Univ Hosp, Dept Radiol, 101 Daehak Ro, Seoul 03080, South Korea
[2] Seoul Natl Univ, Dept Radiol, Coll Med, Seoul, South Korea
[3] Seoul Natl Univ, Med Res Ctr, Inst Radiat Med, Seoul, South Korea
关键词
Breast neoplasms; Magnetic resonance imaging; Gene expression profiles; INTERNATIONAL EXPERT CONSENSUS; GENE-EXPRESSION; PRIMARY THERAPY; TEXTURE ANALYSIS; FOLLOW-UP; NEOADJUVANT; CHEMOTHERAPY; TRASTUZUMAB; PREDICT; BENEFIT;
D O I
10.4132/jptm.2020.09.03
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
Characterization of breast cancer molecular subtypes has been the standard of care for breast cancer management. We aimed to provide a review of imaging features of breast cancer molecular subtypes for the field of precision medicine. We also provide an update on the recent progress in precision medicine for breast cancer, implications for imaging, and recent observations in longitudinal functional imaging with radiomics.
引用
收藏
页码:16 / 25
页数:10
相关论文
共 49 条
  • [1] Computerized Image Analysis for Identifying Triple-Negative Breast Cancers and Differentiating Them from Other Molecular Subtypes of Breast Cancer on Dynamic Contrast-enhanced MR Images: A Feasibility Study
    Agner, Shannon C.
    Rosen, Mark A.
    Englander, Sarah
    Tomaszewski, John E.
    Feldman, Michael D.
    Zhang, Paul
    Mies, Carolyn
    Schnall, Mitchell D.
    Madabhushi, Anant
    [J]. RADIOLOGY, 2014, 272 (01) : 91 - 99
  • [2] Treatment of HER2-positive breast cancer: current status and future perspectives
    Arteaga, Carlos L.
    Sliwkowski, Mark X.
    Osborne, C. Kent
    Perez, Edith A.
    Puglisi, Fabio
    Gianni, Luca
    [J]. NATURE REVIEWS CLINICAL ONCOLOGY, 2012, 9 (01) : 16 - 32
  • [3] Pretreatment MR Imaging Features of Triple-Negative Breast Cancer: Association with Response to Neoadjuvant Chemotherapy and Recurrence-Free Survival
    Bae, Min Sun
    Shin, Sung Ui
    Ryu, Han Suk
    Han, Wonshik
    Im, Seock-Ah
    Park, In-Ae
    Noh, Dong-Young
    Moon, Woo Kyung
    [J]. RADIOLOGY, 2016, 281 (02) : 392 - 400
  • [4] Quantitative MRI morphology of invasive breast cancer: correlation with immunohistochemical biomarkers and subtypes
    Bae, Min Sun
    Seo, Mirinae
    Kim, Kwang Gi
    Park, In-Ae
    Moon, Woo Kyung
    [J]. ACTA RADIOLOGICA, 2015, 56 (03) : 269 - 275
  • [5] Intratumoral and peritumoral radiomics for the pretreatment prediction of pathological complete response to neoadjuvant chemotherapy based on breast DCE-MRI
    Braman, Nathaniel M.
    Etesami, Maryam
    Prasanna, Prateek
    Dubchuk, Christina
    Gilmore, Hannah
    Tiwari, Pallavi
    Pletcha, Donna
    Madabhushi, Anant
    [J]. BREAST CANCER RESEARCH, 2017, 19
  • [6] Estimating the benefits of therapy for early-stage breast cancer: the St. Gallen International Consensus Guidelines for the primary therapy of early breast cancer 2019
    Burstein, H. J.
    Curigliano, G.
    Loibl, S.
    Dubsky, P.
    Gnant, M.
    Poortmans, P.
    Colleoni, M.
    Denkert, C.
    Piccart-Gebhart, M.
    Regan, M.
    Senn, H. -J.
    Winer, E. P.
    Thurlimann, B.
    [J]. ANNALS OF ONCOLOGY, 2019, 30 (10) : 1541 - 1557
  • [7] Association between Ultrasound Features and the 21-Gene Recurrence Score Assays in Patients with Oestrogen Receptor-Positive, HER2-Negative, Invasive Breast Cancer
    Chae, Eun Young
    Moon, Woo Kyung
    Kim, Hak Hee
    Kim, Won Hwa
    Cha, Joo Hee
    Shin, Hee Jung
    Choi, Woo Jung
    Han, Wonshik
    Noh, Dong-Young
    Lee, Sae Byul
    Ahn, Sei Hyun
    [J]. PLOS ONE, 2016, 11 (06):
  • [8] Features from Computerized Texture Analysis of Breast Cancers at Pretreatment MR Imaging Are Associated with Response to Neoadjuvant Chemotherapy
    Chamming's, Foucauld
    Ueno, Yoshiko
    Ferre, Romuald
    Kao, Ellen
    Jannot, Anne-Sophie
    Chong, Jaron
    Omeroglu, Atilla
    Mesurolle, Benoit
    Reinhold, Caroline
    Gallix, Benoit
    [J]. RADIOLOGY, 2018, 286 (02) : 412 - 420
  • [9] A 50-Gene Intrinsic Subtype Classifier for Prognosis and Prediction of Benefit from Adjuvant Tamoxifen
    Chia, Stephen K.
    Bramwell, Vivien H.
    Tu, Dongsheng
    Shepherd, Lois E.
    Jiang, Shan
    Vickery, Tammi
    Mardis, Elaine
    Leung, Samuel
    Ung, Karen
    Pritchard, Kathleen I.
    Parker, Joel S.
    Bernard, Philip S.
    Perou, Charles M.
    Ellis, Matthew J.
    Nielsen, Torsten O.
    [J]. CLINICAL CANCER RESEARCH, 2012, 18 (16) : 4465 - 4472
  • [10] Molecular subtypes and imaging phenotypes of breast cancer
    Cho, Nariya
    [J]. ULTRASONOGRAPHY, 2016, 35 (04) : 281 - 288