BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 38133687)

  • 1. Prediction of therapy response of breast cancer patients with machine learning based on clinical data and imaging data derived from breast [
    Jannusch K; Dietzel F; Bruckmann NM; Morawitz J; Boschheidgen M; Minko P; Bittner AK; Mohrmann S; Quick HH; Herrmann K; Umutlu L; Antoch G; Rubbert C; Kirchner J; Caspers J
    Eur J Nucl Med Mol Imaging; 2024 Apr; 51(5):1451-1461. PubMed ID: 38133687
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3.
    Li P; Wang X; Xu C; Liu C; Zheng C; Fulham MJ; Feng D; Wang L; Song S; Huang G
    Eur J Nucl Med Mol Imaging; 2020 May; 47(5):1116-1126. PubMed ID: 31982990
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Clinical Decision Support for Axillary Lymph Node Staging in Newly Diagnosed Breast Cancer Patients Based on
    Morawitz J; Sigl B; Rubbert C; Bruckmann NM; Dietzel F; Häberle LJ; Ting S; Mohrmann S; Ruckhäberle E; Bittner AK; Hoffmann O; Baltzer P; Kapetas P; Helbich T; Clauser P; Fendler WP; Rischpler C; Herrmann K; Schaarschmidt BM; Stang A; Umutlu L; Antoch G; Caspers J; Kirchner J
    J Nucl Med; 2023 Feb; 64(2):304-311. PubMed ID: 36137756
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An [
    Meng N; Feng P; Yu X; Wu Y; Fu F; Li Z; Luo Y; Tan H; Yuan J; Yang Y; Wang Z; Wang M
    Eur Radiol; 2024 Jan; 34(1):318-329. PubMed ID: 37530809
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The assessment of breast cancer response to neoadjuvant chemotherapy: comparison of magnetic resonance imaging and 18F-fluorodeoxyglucose positron emission tomography.
    Park JS; Moon WK; Lyou CY; Cho N; Kang KW; Chung JK
    Acta Radiol; 2011 Feb; 52(1):21-8. PubMed ID: 21498321
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Integrated
    Cho N; Im SA; Cheon GJ; Park IA; Lee KH; Kim TY; Kim YS; Kwon BR; Lee JM; Suh HY; Suh KJ
    Eur J Nucl Med Mol Imaging; 2018 Mar; 45(3):328-339. PubMed ID: 29101445
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prospective comparison of CT and 18F-FDG PET/MRI in N and M staging of primary breast cancer patients: Initial results.
    Bruckmann NM; Kirchner J; Morawitz J; Umutlu L; Herrmann K; Bittner AK; Hoffmann O; Mohrmann S; Ingenwerth M; Schaarschmidt BM; Li Y; Stang A; Antoch G; Sawicki LM; Buchbender C
    PLoS One; 2021; 16(12):e0260804. PubMed ID: 34855886
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automatic segmentation and classification of breast lesions through identification of informative multiparametric PET/MRI features.
    Vogl WD; Pinker K; Helbich TH; Bickel H; Grabner G; Bogner W; Gruber S; Bago-Horvath Z; Dubsky P; Langs G
    Eur Radiol Exp; 2019 Apr; 3(1):18. PubMed ID: 31030291
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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; Terauchi T; Kubota K; Kinoshita T; Daisaki H; Macapinlac HA
    Radiology; 2012 Apr; 263(1):53-63. PubMed ID: 22438441
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Use of radiomics based on
    Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
    Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
    [TBL] [Abstract][Full Text] [Related]  

  • 12. A multiparametric [
    Leithner D; Horvat JV; Bernard-Davila B; Helbich TH; Ochoa-Albiztegui RE; Martinez DF; Zhang M; Thakur SB; Wengert GJ; Staudenherz A; Jochelson MS; Morris EA; Baltzer PAT; Clauser P; Kapetas P; Pinker K
    Eur J Nucl Med Mol Imaging; 2019 Aug; 46(9):1878-1888. PubMed ID: 31197455
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Staging/restaging performance of F18-fluorodeoxyglucose positron emission tomography/magnetic resonance imaging in breast cancer: A review and meta-analysis.
    Lin CY; Lin CL; Kao CH
    Eur J Radiol; 2018 Oct; 107():158-165. PubMed ID: 30292261
    [TBL] [Abstract][Full Text] [Related]  

  • 14. MRI fused with prone FDG PET/CT improves the primary tumour staging of patients with breast cancer.
    Garcia-Velloso MJ; Ribelles MJ; Rodriguez M; Fernandez-Montero A; Sancho L; Prieto E; Santisteban M; Rodriguez-Spiteri N; Idoate MA; Martinez-Regueira F; Elizalde A; Pina LJ
    Eur Radiol; 2017 Aug; 27(8):3190-3198. PubMed ID: 28004161
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Axillary lymph node response to neoadjuvant systemic therapy with dedicated axillary hybrid
    de Mooij CM; Samiei S; Mitea C; Lobbes MBI; Kooreman LFS; Heuts EM; Beets-Tan RGH; van Nijnatten TJA; Smidt ML
    Clin Radiol; 2022 Oct; 77(10):e732-e740. PubMed ID: 35850866
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Comparison of Magnetic Resonance Imaging With Positron Emission Tomography/Computed Tomography in the Evaluation of Response to Neoadjuvant Therapy of Breast Cancer.
    Baysal H; Serdaroglu AY; Ozemir IA; Baysal B; Gungor S; Erol CI; Ozsoy MS; Ekinci O; Alimoglu O
    J Surg Res; 2022 Oct; 278():223-232. PubMed ID: 35636197
    [TBL] [Abstract][Full Text] [Related]  

  • 17. 2-fluoro-2-deoxy-D-glucose positron emission tomography versus conventional imaging for the diagnosis of breast cancer and lymph node metastases.
    Shao M; Zi J; Wen G
    J Cancer Res Ther; 2018 Sep; 14(Supplement):S661-S666. PubMed ID: 30249884
    [TBL] [Abstract][Full Text] [Related]  

  • 18. FDG-PET/CT and MRI for Evaluation of Pathologic Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer: A Meta-Analysis of Diagnostic Accuracy Studies.
    Sheikhbahaei S; Trahan TJ; Xiao J; Taghipour M; Mena E; Connolly RM; Subramaniam RM
    Oncologist; 2016 Aug; 21(8):931-9. PubMed ID: 27401897
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Machine learning on MRI radiomic features: identification of molecular subtype alteration in breast cancer after neoadjuvant therapy.
    Liu HQ; Lin SY; Song YD; Mai SY; Yang YD; Chen K; Wu Z; Zhao HY
    Eur Radiol; 2023 Apr; 33(4):2965-2974. PubMed ID: 36418622
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Combined use of ¹⁸F-FDG PET/CT and MRI for response monitoring of breast cancer during neoadjuvant chemotherapy.
    Pengel KE; Koolen BB; Loo CE; Vogel WV; Wesseling J; Lips EH; Rutgers EJ; Valdés Olmos RA; Vrancken Peeters MJ; Rodenhuis S; Gilhuijs KG
    Eur J Nucl Med Mol Imaging; 2014 Aug; 41(8):1515-24. PubMed ID: 24777490
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.