BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

178 related articles for article (PubMed ID: 36802345)

  • 1. CT Radiomics for Predicting Pathological Complete Response of Axillary Lymph Nodes in Breast Cancer After Neoadjuvant Chemotherapy: A Prospective Study.
    Li YL; Wang LZ; Shi QL; He YJ; Li JF; Zhu HT; Wang TF; Li XT; Fan ZQ; Ouyang T; Sun YS
    Oncologist; 2023 Apr; 28(4):e183-e190. PubMed ID: 36802345
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Prediction of Residual Axillary Nodal Metastasis Following Neoadjuvant Chemotherapy for Breast Cancer: Radiomics Analysis Based on Chest Computed Tomography.
    Lee HJ; Nguyen AT; Song MW; Lee JE; Park SB; Jeong WG; Park MH; Lee JS; Park I; Lim HS
    Korean J Radiol; 2023 Jun; 24(6):498-511. PubMed ID: 37271204
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Deep learning radiomics of ultrasonography for comprehensively predicting tumor and axillary lymph node status after neoadjuvant chemotherapy in breast cancer patients: A multicenter study.
    Gu J; Tong T; Xu D; Cheng F; Fang C; He C; Wang J; Wang B; Yang X; Wang K; Tian J; Jiang T
    Cancer; 2023 Feb; 129(3):356-366. PubMed ID: 36401611
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Computed tomography reconstruction for evaluating response in axillary lymph nodes of breast cancer after neoadjuvant chemotherapy.
    Wang L; Li Y; Li J; Wang T; Xie Y; He Y; Fan Z; Ouyang T
    Clin Transl Oncol; 2021 Feb; 23(2):240-245. PubMed ID: 32519177
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of axillary response by monitoring with ultrasound and MRI during and after neoadjuvant chemotherapy in breast cancer patients.
    Eun NL; Son EJ; Gweon HM; Kim JA; Youk JH
    Eur Radiol; 2020 Mar; 30(3):1460-1469. PubMed ID: 31802216
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Thin-section CT evaluation and pathologic correlation of therapeutic effect of neoadjuvant chemotherapy for axillary lymph nodes of clinically node-positive breast cancer patients.
    Ogawa Y; Nishioka A; Nishigawa T; Kubota K; Kariya S; Yoshida S; Tanaka Y; Moriki T; Tochika N
    Oncol Rep; 2003; 10(4):985-9. PubMed ID: 12792757
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Axillary Response to Neoadjuvant Chemotherapy: Breast MRI and US in Patients with Node-Positive Breast Cancer.
    Kim R; Chang JM; Lee HB; Lee SH; Kim SY; Kim ES; Cho N; Moon WK
    Radiology; 2019 Oct; 293(1):49-57. PubMed ID: 31407967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A delta-radiomic lymph node model using dynamic contrast enhanced MRI for the early prediction of axillary response after neoadjuvant chemotherapy in breast cancer patients.
    Liu S; Du S; Gao S; Teng Y; Jin F; Zhang L
    BMC Cancer; 2023 Jan; 23(1):15. PubMed ID: 36604679
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 10. FDG PET/CT radiomics as a tool to differentiate between reactive axillary lymphadenopathy following COVID-19 vaccination and metastatic breast cancer axillary lymphadenopathy: a pilot study.
    Eifer M; Pinian H; Klang E; Alhoubani Y; Kanana N; Tau N; Davidson T; Konen E; Catalano OA; Eshet Y; Domachevsky L
    Eur Radiol; 2022 Sep; 32(9):5921-5929. PubMed ID: 35385985
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Noninvasive prediction of node-positive breast cancer response to presurgical neoadjuvant chemotherapy therapy based on machine learning of axillary lymph node ultrasound.
    Zhang H; Cao W; Liu L; Meng Z; Sun N; Meng Y; Fei J
    J Transl Med; 2023 May; 21(1):337. PubMed ID: 37211604
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of Traditional Radiomics, Deep Learning Radiomics and Fusion Methods for Axillary Lymph Node Metastasis Prediction in Breast Cancer.
    Li X; Yang L; Jiao X
    Acad Radiol; 2023 Jul; 30(7):1281-1287. PubMed ID: 36376154
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Breast MRI and tumour biology predict axillary lymph node response to neoadjuvant chemotherapy for breast cancer.
    Al-Hattali S; Vinnicombe SJ; Gowdh NM; Evans A; Armstrong S; Adamson D; Purdie CA; Macaskill EJ
    Cancer Imaging; 2019 Dec; 19(1):91. PubMed ID: 31878958
    [TBL] [Abstract][Full Text] [Related]  

  • 14. A machine learning-based radiomics model for the prediction of axillary lymph-node metastasis in breast cancer.
    Song BI
    Breast Cancer; 2021 May; 28(3):664-671. PubMed ID: 33454875
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Combining conventional ultrasound and sonoelastography to predict axillary status after neoadjuvant chemotherapy for breast cancer.
    Huang JX; Lin SY; Ou Y; Shi CG; Zhong Y; Wei MJ; Pei XQ
    Eur Radiol; 2022 Sep; 32(9):5986-5996. PubMed ID: 35364714
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics allows for detection of benign and malignant histopathology in patients with metastatic testicular germ cell tumors prior to post-chemotherapy retroperitoneal lymph node dissection.
    Baessler B; Nestler T; Pinto Dos Santos D; Paffenholz P; Zeuch V; Pfister D; Maintz D; Heidenreich A
    Eur Radiol; 2020 Apr; 30(4):2334-2345. PubMed ID: 31828413
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Locoregional lymph node involvement on 18F-FDG PET/CT in breast cancer patients scheduled for neoadjuvant chemotherapy.
    Koolen BB; Valdés Olmos RA; Elkhuizen PH; Vogel WV; Vrancken Peeters MJ; Rodenhuis S; Rutgers EJ
    Breast Cancer Res Treat; 2012 Aug; 135(1):231-40. PubMed ID: 22872522
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT assessment of breast cancer for pathological involvement of four or more axillary nodes.
    Ogino I; Tayama Y; Arai M; Inoue T; Shimizu D; Ishikawa T
    Breast Cancer; 2012 Apr; 19(2):125-30. PubMed ID: 20697857
    [TBL] [Abstract][Full Text] [Related]  

  • 19. SPECT/CT Lymphoscintigraphy Guidance Simplifies and Improves Targeted Axillary Dissection of the Clipped Nodes After Neoadjuvant Chemotherapy in Initially Node-Positive Breast Cancer.
    Has Simsek D; Emiroglu S; Yilmaz R; Bayram A; Isik EG; Tukenmez M; Kuyumcu S; Dursun M; Muslumanoglu M; Cabioglu N
    Clin Nucl Med; 2022 Nov; 47(11):e682-e688. PubMed ID: 35835147
    [TBL] [Abstract][Full Text] [Related]  

  • 20. CT-Guided Wire Localization for Involved Axillary Lymph Nodes After Neo-adjuvant Chemotherapy in Patients With Initially Node-Positive Breast Cancer.
    Trinh L; Miyake KK; Dirbas FM; Kothary N; Horst KC; Lipson JA; Carpenter C; Thompson AC; Ikeda DM
    Breast J; 2016 Jul; 22(4):390-6. PubMed ID: 27061012
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.