These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

187 related articles for article (PubMed ID: 33682494)

  • 1. Feasibility of quantitative and volumetric enhancement measurement to assess tumor response in patients with breast cancer after early neoadjuvant chemotherapy.
    Ding J; Xiao H; Deng W; Liu F; Zhu R; Ha R
    J Int Med Res; 2021 Mar; 49(3):300060521991017. PubMed ID: 33682494
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Comparison of the diagnostic performance of response evaluation criteria in solid tumor 1.0 with response evaluation criteria in solid tumor 1.1 on MRI in advanced breast cancer response evaluation to neoadjuvant chemotherapy.
    Jeh SK; Kim SH; Kang BJ
    Korean J Radiol; 2013; 14(1):13-20. PubMed ID: 23323026
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Evaluation of the efficacy of neoadjuvant chemotherapy for breast cancer using diffusion-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging.
    Xu HD; Zhang YQ
    Neoplasma; 2017; 64(3):430-436. PubMed ID: 28253722
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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; Su PF; Arlinghaus LR; Wilson KJ; Abramson VG; Chakravarthy AB; Yankeelov TE
    Magn Reson Imaging; 2013 Nov; 31(9):1457-64. PubMed ID: 23954320
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Quantitative evaluation of breast cancer response to neoadjuvant chemotherapy by diffusion tensor imaging: Initial results.
    Furman-Haran E; Nissan N; Ricart-Selma V; Martinez-Rubio C; Degani H; Camps-Herrero J
    J Magn Reson Imaging; 2018 Apr; 47(4):1080-1090. PubMed ID: 28901594
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of pathological complete response to neoadjuvant chemotherapy in patients with breast cancer using a combination of contrast-enhanced ultrasound and dynamic contrast-enhanced magnetic resonance imaging.
    Han X; Yang H; Jin S; Sun Y; Zhang H; Shan M; Cheng W
    Cancer Med; 2023 Jan; 12(2):1389-1398. PubMed ID: 35822639
    [TBL] [Abstract][Full Text] [Related]  

  • 7. 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]  

  • 8. Meta-Analysis of Quantitative Dynamic Contrast-Enhanced MRI for the Assessment of Neoadjuvant Chemotherapy in Breast Cancer.
    Jun W; Cong W; Xianxin X; Daqing J
    Am Surg; 2019 Jun; 85(6):645-653. PubMed ID: 31267907
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Magnetic resonance imaging evaluation of residual tumors in breast cancer after neoadjuvant chemotherapy: surgical implications.
    Zhou J; Li G; Sheng F; Qiao P; Zhang H; Xing X
    Acta Radiol; 2016 May; 57(5):529-37. PubMed ID: 26231950
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy.
    Wu J; Gong G; Cui Y; Li R
    J Magn Reson Imaging; 2016 Nov; 44(5):1107-1115. PubMed ID: 27080586
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Evaluation of the Tumor Response After Neoadjuvant Chemotherapy in Breast Cancer Patients: Correlation Between Dynamic Contrast-enhanced Magnetic Resonance Imaging and Pathologic Tumor Cellularity.
    Choi WJ; Kim WK; Shin HJ; Cha JH; Chae EY; Kim HH
    Clin Breast Cancer; 2018 Feb; 18(1):e115-e121. PubMed ID: 28890184
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Early Prediction of Breast Cancer Therapy Response using Multiresolution Fractal Analysis of DCE-MRI Parametric Maps.
    Machireddy A; Thibault G; Tudorica A; Afzal A; Mishal M; Kemmer K; Naik A; Troxell M; Goranson E; Oh K; Roy N; Jafarian N; Holtorf M; Huang W; Song X
    Tomography; 2019 Mar; 5(1):90-98. PubMed ID: 30854446
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Early Prediction of Response to Neoadjuvant Chemotherapy Using Dynamic Contrast-Enhanced MRI and Ultrasound in Breast Cancer.
    Kim Y; Kim SH; Song BJ; Kang BJ; Yim KI; Lee A; Nam Y
    Korean J Radiol; 2018; 19(4):682-691. PubMed ID: 29962874
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of pathologic complete response using image-guided biopsy after neoadjuvant chemotherapy in breast cancer patients selected based on MRI findings: a prospective feasibility trial.
    Lee HB; Han W; Kim SY; Cho N; Kim KE; Park JH; Ju YW; Lee ES; Lim SJ; Kim JH; Ryu HS; Lee DW; Kim M; Kim TY; Lee KH; Shin SU; Lee SH; Chang JM; Moon HG; Im SA; Moon WK; Park IA; Noh DY
    Breast Cancer Res Treat; 2020 Jul; 182(1):97-105. PubMed ID: 32418044
    [TBL] [Abstract][Full Text] [Related]  

  • 15. MRI staging after neoadjuvant chemotherapy for breast cancer: does tumor biology affect accuracy?
    McGuire KP; Toro-Burguete J; Dang H; Young J; Soran A; Zuley M; Bhargava R; Bonaventura M; Johnson R; Ahrendt G
    Ann Surg Oncol; 2011 Oct; 18(11):3149-54. PubMed ID: 21947592
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-input deep learning architecture for predicting breast tumor response to chemotherapy using quantitative MR images.
    El Adoui M; Drisis S; Benjelloun M
    Int J Comput Assist Radiol Surg; 2020 Sep; 15(9):1491-1500. PubMed ID: 32556920
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Treatment Response Evaluation of Breast Cancer after Neoadjuvant Chemotherapy and Usefulness of the Imaging Parameters of MRI and PET/CT.
    An YY; Kim SH; Kang BJ; Lee AW
    J Korean Med Sci; 2015 Jun; 30(6):808-15. PubMed ID: 26028936
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Accuracy of Contrast-Enhanced Ultrasound Compared With Magnetic Resonance Imaging in Assessing the Tumor Response After Neoadjuvant Chemotherapy for Breast Cancer.
    Lee SC; Grant E; Sheth P; Garcia AA; Desai B; Ji L; Groshen S; Hwang D; Yamashita M; Hovanessian-Larsen L
    J Ultrasound Med; 2017 May; 36(5):901-911. PubMed ID: 28150325
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predictive Clinicopathologic and Dynamic Contrast-Enhanced MRI Findings for Tumor Response to Neoadjuvant Chemotherapy in Triple-Negative Breast Cancer.
    Eom HJ; Cha JH; Choi WJ; Chae EY; Shin HJ; Kim HH
    AJR Am J Roentgenol; 2017 Jun; 208(6):W225-W230. PubMed ID: 28350486
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.
    Li X; Abramson RG; Arlinghaus LR; Kang H; Chakravarthy AB; Abramson VG; Farley J; Mayer IA; Kelley MC; Meszoely IM; Means-Powell J; Grau AM; Sanders M; Yankeelov TE
    Invest Radiol; 2015 Apr; 50(4):195-204. PubMed ID: 25360603
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.