302 related articles for article (PubMed ID: 23652844)
1. Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.
Richard R; Thomassin I; Chapellier M; Scemama A; de Cremoux P; Varna M; Giacchetti S; Espié M; de Kerviler E; de Bazelaire C
Eur Radiol; 2013 Sep; 23(9):2420-31. PubMed ID: 23652844
[TBL] [Abstract][Full Text] [Related]
2. Role of the Apparent Diffusion Coefficient in the Prediction of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer.
Bufi E; Belli P; Costantini M; Cipriani A; Di Matteo M; Bonatesta A; Franceschini G; Terribile D; Mulé A; Nardone L; Bonomo L
Clin Breast Cancer; 2015 Oct; 15(5):370-80. PubMed ID: 25891905
[TBL] [Abstract][Full Text] [Related]
3. Diffusion-weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy.
Liu S; Ren R; Chen Z; Wang Y; Fan T; Li C; Zhang P
J Magn Reson Imaging; 2015 Sep; 42(3):779-87. PubMed ID: 25580585
[TBL] [Abstract][Full Text] [Related]
4. Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.
Park SH; Moon WK; Cho N; Song IC; Chang JM; Park IA; Han W; Noh DY
Radiology; 2010 Oct; 257(1):56-63. PubMed ID: 20851939
[TBL] [Abstract][Full Text] [Related]
5. Diffusion-weighted magnetic resonance imaging for pretreatment prediction and monitoring of treatment response of patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy.
Nilsen L; Fangberget A; Geier O; Olsen DR; Seierstad T
Acta Oncol; 2010 Apr; 49(3):354-60. PubMed ID: 20397769
[TBL] [Abstract][Full Text] [Related]
6. Correlations between diffusion-weighted imaging and breast cancer biomarkers.
Martincich L; Deantoni V; Bertotto I; Redana S; Kubatzki F; Sarotto I; Rossi V; Liotti M; Ponzone R; Aglietta M; Regge D; Montemurro F
Eur Radiol; 2012 Jul; 22(7):1519-28. PubMed ID: 22411304
[TBL] [Abstract][Full Text] [Related]
7. Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer.
Minarikova L; Bogner W; Pinker K; Valkovič L; Zaric O; Bago-Horvath Z; Bartsch R; Helbich TH; Trattnig S; Gruber S
Eur Radiol; 2017 May; 27(5):1901-1911. PubMed ID: 27651141
[TBL] [Abstract][Full Text] [Related]
8. Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations.
Bedair R; Priest AN; Patterson AJ; McLean MA; Graves MJ; Manavaki R; Gill AB; Abeyakoon O; Griffiths JR; Gilbert FJ
Eur Radiol; 2017 Jul; 27(7):2726-2736. PubMed ID: 27798751
[TBL] [Abstract][Full Text] [Related]
9. Additive value of diffusion-weighted MRI in the I-SPY 2 TRIAL.
Li W; Newitt DC; Wilmes LJ; Jones EF; Arasu V; Gibbs J; La Yun B; Li E; Partridge SC; Kornak J; ; Esserman LJ; Hylton NM
J Magn Reson Imaging; 2019 Dec; 50(6):1742-1753. PubMed ID: 31026118
[TBL] [Abstract][Full Text] [Related]
10. Effect of breast cancer phenotype on diagnostic performance of MRI in the prediction to response to neoadjuvant treatment.
Bufi E; Belli P; Di Matteo M; Terribile D; Franceschini G; Nardone L; Petrone G; Bonomo L
Eur J Radiol; 2014 Sep; 83(9):1631-8. PubMed ID: 24938669
[TBL] [Abstract][Full Text] [Related]
11. Diffusion-weighted MR imaging of locally advanced breast carcinoma: the optimal time window of predicting the early response to neoadjuvant chemotherapy.
Yuan L; Li JJ; Li CQ; Yan CG; Cheng ZL; Wu YK; Hao P; Lin BQ; Xu YK
Cancer Imaging; 2018 Oct; 18(1):38. PubMed ID: 30373679
[TBL] [Abstract][Full Text] [Related]
12. Early prediction of response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and gray-scale ultrasonography.
Iwasa H; Kubota K; Hamada N; Nogami M; Nishioka A
Oncol Rep; 2014 Apr; 31(4):1555-60. PubMed ID: 24535214
[TBL] [Abstract][Full Text] [Related]
13. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients.
Tahmassebi A; Wengert GJ; Helbich TH; Bago-Horvath Z; Alaei S; Bartsch R; Dubsky P; Baltzer P; Clauser P; Kapetas P; Morris EA; Meyer-Baese A; Pinker K
Invest Radiol; 2019 Feb; 54(2):110-117. PubMed ID: 30358693
[TBL] [Abstract][Full Text] [Related]
14. Longitudinal study of the assessment by MRI and diffusion-weighted imaging of tumor response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy.
Sharma U; Danishad KK; Seenu V; Jagannathan NR
NMR Biomed; 2009 Jan; 22(1):104-13. PubMed ID: 18384182
[TBL] [Abstract][Full Text] [Related]
15. Assessment of diffusion-weighted MRI in predicting response to neoadjuvant chemotherapy in breast cancer patients.
Hottat NA; Badr DA; Lecomte S; Besse-Hammer T; Jani JC; Cannie MM
Sci Rep; 2023 Jan; 13(1):614. PubMed ID: 36635514
[TBL] [Abstract][Full Text] [Related]
16. Assessing the Early Response of Advanced Cervical Cancer to Neoadjuvant Chemotherapy Using Intravoxel Incoherent Motion Diffusion-weighted Magnetic Resonance Imaging: A Pilot Study.
Wang YC; Hu DY; Hu XM; Shen YQ; Meng XY; Tang H; Li Z
Chin Med J (Engl); 2016 Mar; 129(6):665-71. PubMed ID: 26960369
[TBL] [Abstract][Full Text] [Related]
17. Prediction of pathologic response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and MRS.
Shin HJ; Baek HM; Ahn JH; Baek S; Kim H; Cha JH; Kim HH
NMR Biomed; 2012 Dec; 25(12):1349-59. PubMed ID: 22566277
[TBL] [Abstract][Full Text] [Related]
18. Role of diffusion-weighted imaging as an adjunct to contrast-enhanced breast MRI in evaluating residual breast cancer following neoadjuvant chemotherapy.
Hahn SY; Ko EY; Han BK; Shin JH; Ko ES
Eur J Radiol; 2014 Feb; 83(2):283-8. PubMed ID: 24315957
[TBL] [Abstract][Full Text] [Related]
19. MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index.
Molinari C; Clauser P; Girometti R; Linda A; Cimino E; Puglisi F; Zuiani C; Bazzocchi M
Radiol Med; 2015 Oct; 120(10):911-8. PubMed ID: 25776017
[TBL] [Abstract][Full Text] [Related]
20. Apparent diffusion coefficient modifications in assessing gastro-oesophageal cancer response to neoadjuvant treatment: comparison with tumour regression grade at histology.
De Cobelli F; Giganti F; Orsenigo E; Cellina M; Esposito A; Agostini G; Albarello L; Mazza E; Ambrosi A; Socci C; Staudacher C; Del Maschio A
Eur Radiol; 2013 Aug; 23(8):2165-74. PubMed ID: 23588582
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
