-
1
-
-
33646445341
-
Sequential preoperative or postoperative docetaxel added to preoperative doxorubicin plus cyclophosphamide for operable breast cancer: National Surgical Adjuvant Breast and Bowel Project Protocol B-27
-
Bear HD, Anderson S, Smith RE, et al. Sequential preoperative or postoperative docetaxel added to preoperative doxorubicin plus cyclophosphamide for operable breast cancer: National Surgical Adjuvant Breast and Bowel Project Protocol B-27. J Clin Oncol 2006;24:2019–2027.
-
(2006)
J Clin Oncol
, vol.24
, pp. 2019-2027
-
-
Bear, H.D.1
Anderson, S.2
Smith, R.E.3
-
2
-
-
0037087562
-
Neoadjuvant chemotherapy in breast cancer: significantly enhanced response with docetaxel
-
Smith IC, Heys SD, Hutckeon AW, et al. Neoadjuvant chemotherapy in breast cancer: significantly enhanced response with docetaxel. J Clin Oncol 2002;20:1456–1466.
-
(2002)
J Clin Oncol
, vol.20
, pp. 1456-1466
-
-
Smith, I.C.1
Heys, S.D.2
Hutckeon, A.W.3
-
3
-
-
0037368147
-
Monitoring the size and response of locally advanced breast cancers to neoadjuvant chemotherapy (weekly paclitaxel and epirubicin) with serial enhanced MRI
-
Cheung YC, Chen SC, Su MY, et al. Monitoring the size and response of locally advanced breast cancers to neoadjuvant chemotherapy (weekly paclitaxel and epirubicin) with serial enhanced MRI. Breast Cancer Res Treat 2003;78:51–58.
-
(2003)
Breast Cancer Res Treat
, vol.78
, pp. 51-58
-
-
Cheung, Y.C.1
Chen, S.C.2
Su, M.Y.3
-
4
-
-
34047271610
-
Monitoring breast cancer response to neoadjuvant systemic chemotherapy using parametric contrast-enhanced MRI: a pilot study
-
Chou C-P, Wu M-T, Chang H-T, et al. Monitoring breast cancer response to neoadjuvant systemic chemotherapy using parametric contrast-enhanced MRI: a pilot study. Acad Radiol 2007;14:561–573.
-
(2007)
Acad Radiol
, vol.14
, pp. 561-573
-
-
Chou, C.-P.1
Wu, M.-T.2
Chang, H.-T.3
-
5
-
-
9144233474
-
Monitoring response to primary chemotherapy in breast cancer using dynamic contrast-enhanced magnetic resonance imaging
-
Martincich L, Montemurro F, De Rosa G, et al. Monitoring response to primary chemotherapy in breast cancer using dynamic contrast-enhanced magnetic resonance imaging. Breast Cancer Res Treat 2004;83:67–76.
-
(2004)
Breast Cancer Res Treat
, vol.83
, pp. 67-76
-
-
Martincich, L.1
Montemurro, F.2
De Rosa, G.3
-
6
-
-
33845979885
-
Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results
-
Yankeelov TE, Lepage M, Chakravarthy A, et al. Integration of quantitative DCE-MRI and ADC mapping to monitor treatment response in human breast cancer: initial results. Magn Reson Imaging 2007;25:1–13.
-
(2007)
Magn Reson Imaging
, vol.25
, pp. 1-13
-
-
Yankeelov, T.E.1
Lepage, M.2
Chakravarthy, A.3
-
7
-
-
33646148970
-
Prediction of clinicopathologic response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: initial clinical results 1
-
Padhani AR, Hayes C, Assersohn L, et al. Prediction of clinicopathologic response of breast cancer to primary chemotherapy at contrast-enhanced MR imaging: initial clinical results 1. Radiology 2006;239:361–374.
-
(2006)
Radiology
, vol.239
, pp. 361-374
-
-
Padhani, A.R.1
Hayes, C.2
Assersohn, L.3
-
8
-
-
58149198586
-
Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer
-
Ah-See MLW, Makris A, Taylor NJ, et al. Early changes in functional dynamic magnetic resonance imaging predict for pathologic response to neoadjuvant chemotherapy in primary breast cancer. Clin Cancer Res 2008;14:6580–6589.
-
(2008)
Clin Cancer Res
, vol.14
, pp. 6580-6589
-
-
Ah-See, M.L.W.1
Makris, A.2
Taylor, N.J.3
-
9
-
-
33747005619
-
Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer
-
Pickles MD, Gibbs P, Lowry M, Turnbull LW. Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer. Magn Reson Imaging 2006;24:843–847.
-
(2006)
Magn Reson Imaging
, vol.24
, pp. 843-847
-
-
Pickles, M.D.1
Gibbs, P.2
Lowry, M.3
Turnbull, L.W.4
-
10
-
-
84925254591
-
Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer
-
Li X, Abramson RG, Arlinghaus LR, et al. Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer. Invest Radiol 2015;50:195–204.
-
(2015)
Invest Radiol
, vol.50
, pp. 195-204
-
-
Li, X.1
Abramson, R.G.2
Arlinghaus, L.R.3
-
11
-
-
84885077368
-
Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: preliminary results
-
Abramson RG, Li X, Hoyt TL, et al. Early assessment of breast cancer response to neoadjuvant chemotherapy by semi-quantitative analysis of high-temporal resolution DCE-MRI: preliminary results. Magn Reson Imaging 2013;31:1457–1464.
-
(2013)
Magn Reson Imaging
, vol.31
, pp. 1457-1464
-
-
Abramson, R.G.1
Li, X.2
Hoyt, T.L.3
-
12
-
-
84896544797
-
DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings
-
Li X, Arlinghaus LR, Ayers GD, et al. DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings. Magn Reson Med 2014;71:1592–1602.
-
(2014)
Magn Reson Med
, vol.71
, pp. 1592-1602
-
-
Li, X.1
Arlinghaus, L.R.2
Ayers, G.D.3
-
13
-
-
84930748541
-
Breast DCE-MRI kinetic heterogeneity tumor markers: preliminary associations with neoadjuvant chemotherapy response
-
Ashraf A, Gaonkar B, Mies C, et al. Breast DCE-MRI kinetic heterogeneity tumor markers: preliminary associations with neoadjuvant chemotherapy response. Transl Oncol 2015;8:154–162.
-
(2015)
Transl Oncol
, vol.8
, pp. 154-162
-
-
Ashraf, A.1
Gaonkar, B.2
Mies, C.3
-
14
-
-
84862501734
-
Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy-results from ACRIN 6657/I-SPY TRIAL
-
Hylton NM, Blume JD, Bernreuter WK, et al. Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy-results from ACRIN 6657/I-SPY TRIAL. Radiology 2012;263:663–672.
-
(2012)
Radiology
, vol.263
, pp. 663-672
-
-
Hylton, N.M.1
Blume, J.D.2
Bernreuter, W.K.3
-
15
-
-
84905053610
-
Breast cancer: early prediction of response to neoadjuvant chemotherapy using parametric response maps for MR imaging
-
Cho N, Im SA, Park IA, et al. Breast cancer: early prediction of response to neoadjuvant chemotherapy using parametric response maps for MR imaging. Radiology 2014;272:385–396.
-
(2014)
Radiology
, vol.272
, pp. 385-396
-
-
Cho, N.1
Im, S.A.2
Park, I.A.3
-
16
-
-
84865987841
-
Early prediction of pathologic response to neoadjuvant therapy in breast cancer: systematic review of the accuracy of MRI
-
Marinovich ML, Sardanelli F, Ciatto S, et al. Early prediction of pathologic response to neoadjuvant therapy in breast cancer: systematic review of the accuracy of MRI. Breast 2012;21:669–677.
-
(2012)
Breast
, vol.21
, pp. 669-677
-
-
Marinovich, M.L.1
Sardanelli, F.2
Ciatto, S.3
-
17
-
-
84870370610
-
Pre-treatment differences and early response monitoring of neoadjuvant chemotherapy in breast cancer patients using magnetic resonance imaging: a systematic review
-
Prevos R, Smidt M, Tjan-Heijnen V, et al. Pre-treatment differences and early response monitoring of neoadjuvant chemotherapy in breast cancer patients using magnetic resonance imaging: a systematic review. Eur Radiol 2012;22:2607–2616.
-
(2012)
Eur Radiol
, vol.22
, pp. 2607-2616
-
-
Prevos, R.1
Smidt, M.2
Tjan-Heijnen, V.3
-
18
-
-
66749184675
-
Predicting survival and early clinical response to primary chemotherapy for patients with locally advanced breast cancer using DCE-MRI
-
Johansen R, Jensen LR, Rydand J, et al. Predicting survival and early clinical response to primary chemotherapy for patients with locally advanced breast cancer using DCE-MRI. J Magn Reson Imaging 2009;29:1300–1307.
-
(2009)
J Magn Reson Imaging
, vol.29
, pp. 1300-1307
-
-
Johansen, R.1
Jensen, L.R.2
Rydand, J.3
-
19
-
-
84880123189
-
Texture analysis in assessment and prediction of chemotherapy response in breast cancer
-
Ahmed A, Gibbs P, Pickles M, Turnbull L. Texture analysis in assessment and prediction of chemotherapy response in breast cancer. J Magn Reson Imaging 2013;38:89–101.
-
(2013)
J Magn Reson Imaging
, vol.38
, pp. 89-101
-
-
Ahmed, A.1
Gibbs, P.2
Pickles, M.3
Turnbull, L.4
-
20
-
-
84884685636
-
Quantitative imaging in cancer evolution and ecology
-
Gatenby RA, Grove O, Gillies RJ. Quantitative imaging in cancer evolution and ecology. Radiology 2013;269:8–15.
-
(2013)
Radiology
, vol.269
, pp. 8-15
-
-
Gatenby, R.A.1
Grove, O.2
Gillies, R.J.3
-
21
-
-
84920964255
-
Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome
-
O'Connor JPB, Rose CJ, Waterton JC, Carano RAD, Parker GJM, Jackson A. Imaging intratumor heterogeneity: role in therapy response, resistance, and clinical outcome. Clin Cancer Res 2015;21:249–257.
-
(2015)
Clin Cancer Res
, vol.21
, pp. 249-257
-
-
O'Connor, J.P.B.1
Rose, C.J.2
Waterton, J.C.3
Carano, R.A.D.4
Parker, G.J.M.5
Jackson, A.6
-
22
-
-
84988894609
-
Prognostic imaging biomarkers in glioblastoma: development and independent validation on the basis of multiregion and quantitative analysis of MR images
-
Cui Y, Tha KK, Terasaka S, et al. Prognostic imaging biomarkers in glioblastoma: development and independent validation on the basis of multiregion and quantitative analysis of MR images. Radiology 2015:150358.
-
(2015)
Radiology
, pp. 150358
-
-
Cui, Y.1
Tha, K.K.2
Terasaka, S.3
-
23
-
-
84991297107
-
Neoadjuvant chemotherapy for breast cancer: functional tumor volume by MR imaging predicts recurrence-free survival—results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL
-
Hylton NM, Gatsonis CA, Rosen MA, et al. Neoadjuvant chemotherapy for breast cancer: functional tumor volume by MR imaging predicts recurrence-free survival—results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL. Radiology 2015:150013.
-
(2015)
Radiology
, pp. 150013
-
-
Hylton, N.M.1
Gatsonis, C.A.2
Rosen, M.A.3
-
24
-
-
84975517936
-
Robust intra-tumor partitioning to identify high-risk subregions in lung cancer: a pilot study
-
Wu J, Gensheimer MF, Dong X, et al. Robust intra-tumor partitioning to identify high-risk subregions in lung cancer: a pilot study. Int J Radiat Oncol Biol Phys 2016, doi: 10.1016/j.ijrobp.2016.03.018.
-
(2016)
Int J Radiat Oncol Biol Phys
-
-
Wu, J.1
Gensheimer, M.F.2
Dong, X.3
-
25
-
-
84989963901
-
Radiomics: images are more than pictures, they are data
-
Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology 2015:151169.
-
(2015)
Radiology
, pp. 151169
-
-
Gillies, R.J.1
Kinahan, P.E.2
Hricak, H.3
-
27
-
-
85194972808
-
Regression shrinkage and selection via the lasso
-
Tibshirani R. Regression shrinkage and selection via the lasso. J R Stat Soc Ser B (Methodol) 1996:267–288.
-
(1996)
J R Stat Soc Ser B (Methodol)
, pp. 267-288
-
-
Tibshirani, R.1
-
28
-
-
84991303033
-
Controlling the false discovery rate: a practical and powerful approach to multiple testing
-
Benjamini Y, Hochberg Y. Controlling the false discovery rate: a practical and powerful approach to multiple testing. J R Stat Soc Ser B (Methodol) 1995:289–300.
-
(1995)
J R Stat Soc Ser B (Methodol)
, pp. 289-300
-
-
Benjamini, Y.1
Hochberg, Y.2
-
29
-
-
54049134838
-
Hypoxia and aggressive tumor phenotype: implications for therapy and prognosis
-
Vaupel P. Hypoxia and aggressive tumor phenotype: implications for therapy and prognosis. Oncologist 2008;13(Suppl 3):21–26.
-
(2008)
Oncologist
, vol.13
, pp. 21-26
-
-
Vaupel, P.1
-
30
-
-
84904989007
-
Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles
-
Ashraf AB, Daye D, Gavenonis S, et al. Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles. Radiology 2014;272:374–384.
-
(2014)
Radiology
, vol.272
, pp. 374-384
-
-
Ashraf, A.B.1
Daye, D.2
Gavenonis, S.3
-
31
-
-
84979047899
-
Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data
-
Guo W, Li H, Zhu Y, et al. Prediction of clinical phenotypes in invasive breast carcinomas from the integration of radiomics and genomics data. J Med Imaging 2015;2:041007.
-
(2015)
J Med Imaging
, vol.2
, pp. 041007
-
-
Guo, W.1
Li, H.2
Zhu, Y.3
-
32
-
-
84949527829
-
Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma
-
Zhu Y, Li H, Guo W, et al. Deciphering genomic underpinnings of quantitative MRI-based radiomic phenotypes of invasive breast carcinoma. Sci Rep 2015;5.
-
(2015)
Sci Rep
, vol.5
-
-
Zhu, Y.1
Li, H.2
Guo, W.3
-
33
-
-
84988816601
-
Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage
-
[Epub ahead of print]
-
Burnside ES, Drukker K, Li H, et al. Using computer-extracted image phenotypes from tumors on breast magnetic resonance imaging to predict breast cancer pathologic stage. Cancer 2015 [Epub ahead of print].
-
(2015)
Cancer
-
-
Burnside, E.S.1
Drukker, K.2
Li, H.3
-
34
-
-
84903729546
-
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 SC, Rosen MA, Englander S, et al. 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. Radiology 2014;272:91–99.
-
(2014)
Radiology
, vol.272
, pp. 91-99
-
-
Agner, S.C.1
Rosen, M.A.2
Englander, S.3
-
35
-
-
84989261684
-
Early-stage non-small cell lung cancer: quantitative imaging characteristics of FDG-PET/CT predict distant metastasis
-
Wu J, Aguilera T, Shultz D, et al. Early-stage non-small cell lung cancer: quantitative imaging characteristics of FDG-PET/CT predict distant metastasis. Radiology 2016, doi: 10.1148/radiol.2016151829.
-
(2016)
Radiology
-
-
Wu, J.1
Aguilera, T.2
Shultz, D.3
-
36
-
-
84945446032
-
Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis
-
Chaudhury B, Zhou M, Goldgof DB, et al. Heterogeneity in intratumoral regions with rapid gadolinium washout correlates with estrogen receptor status and nodal metastasis. J Magn Reson Imaging 2015;42:1421–1430.
-
(2015)
J Magn Reson Imaging
, vol.42
, pp. 1421-1430
-
-
Chaudhury, B.1
Zhou, M.2
Goldgof, D.B.3
-
37
-
-
39149111633
-
Preoperative chemotherapy: updates of National Surgical Adjuvant Breast and Bowel Project Protocols B-18 and B-27
-
Rastogi P, Anderson SJ, Bear HD, et al. Preoperative chemotherapy: updates of National Surgical Adjuvant Breast and Bowel Project Protocols B-18 and B-27. J Clin Oncol 2008;26:778–785.
-
(2008)
J Clin Oncol
, vol.26
, pp. 778-785
-
-
Rastogi, P.1
Anderson, S.J.2
Bear, H.D.3
-
38
-
-
78349273661
-
Association between serial dynamic contrast-enhanced MRI and dynamic 18F-FDG PET measures in patients undergoing neoadjuvant chemotherapy for locally advanced breast cancer
-
Partridge SC, Vanantwerp RK, Doot RK, et al. Association between serial dynamic contrast-enhanced MRI and dynamic 18F-FDG PET measures in patients undergoing neoadjuvant chemotherapy for locally advanced breast cancer. J Magn Reson Imaging 2010;32:1124–1131.
-
(2010)
J Magn Reson Imaging
, vol.32
, pp. 1124-1131
-
-
Partridge, S.C.1
Vanantwerp, R.K.2
Doot, R.K.3
-
39
-
-
84861434698
-
Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET/CT and dynamic contrast-enhanced MR imaging—prospective assessment
-
Tateishi U, Miyake M, Nagaoka T, et al. Neoadjuvant chemotherapy in breast cancer: prediction of pathologic response with PET/CT and dynamic contrast-enhanced MR imaging—prospective assessment. Radiology 2012;263:53–63.
-
(2012)
Radiology
, vol.263
, pp. 53-63
-
-
Tateishi, U.1
Miyake, M.2
Nagaoka, T.3
|