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 *

194 related articles for article (PubMed ID: 38383259)

  • 1. Nomogram Utilizing ABVS Radiomics and Clinical Factors for Predicting ≤ 3 Positive Axillary Lymph Nodes in HR+ /HER2- Breast Cancer with 1-2 Positive Sentinel Nodes.
    Hu B; Xu Y; Gong H; Tang L; Wang L; Li H
    Acad Radiol; 2024 Jul; 31(7):2684-2694. PubMed ID: 38383259
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A Nomogram for Identifying HR+/Her2- Breast Cancer Patients with Positive Sentinel Lymph Nodes and Omitted Axillary Lymph Node Dissection Who Need Abemaciclib Therapy.
    Yang H; Sun Y; Wang P; Qiao J; Li L; Lu Z; Sun X; Zhang C; Chen X; Yan M; Cui S; Wang C; Liu Z
    Med Sci Monit; 2023 Jul; 29():e940124. PubMed ID: 37454245
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A cutting-edge deep learning-and-radiomics-based ultrasound nomogram for precise prediction of axillary lymph node metastasis in breast cancer patients ≥ 75 years.
    Qian L; Liu X; Zhou S; Zhi W; Zhang K; Li H; Li J; Chang C
    Front Endocrinol (Lausanne); 2024; 15():1323452. PubMed ID: 39072273
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Candidates of Genomic Tests in HR+/HER2- Breast Cancer Patients With 1-2 Positive Sentinel Lymph Node Without Axillary Lymph Node Dissection: Analysis From Multicentric Cohorts.
    Bi Z; Chen JJ; Liu PC; Chen P; Wang WL; Liu YB; Wang CJ; Qiu PF; Lv Q; Wu J; Wang YS
    Front Oncol; 2021; 11():722325. PubMed ID: 34422668
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Non-invasive Assessment of Axillary Lymph Node Metastasis Risk in Early Invasive Breast Cancer Adopting Automated Breast Volume Scanning-Based Radiomics Nomogram: A Multicenter Study.
    Wang H; Yang XW; Chen F; Qin YY; Li XB; Ma SM; Lei JQ; Nan CL; Zhang WY; Chen W; Guo SL
    Ultrasound Med Biol; 2023 May; 49(5):1202-1211. PubMed ID: 36746744
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Preoperative prediction of axillary sentinel lymph node burden with multiparametric MRI-based radiomics nomogram in early-stage breast cancer.
    Zhang X; Yang Z; Cui W; Zheng C; Li H; Li Y; Lu L; Mao J; Zeng W; Yang X; Zheng J; Shen J
    Eur Radiol; 2021 Aug; 31(8):5924-5939. PubMed ID: 33569620
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predictive Factors for Nonsentinel Lymph Node Metastasis in Patients With Positive Sentinel Lymph Nodes After Neoadjuvant Chemotherapy: Nomogram for Predicting Nonsentinel Lymph Node Metastasis.
    Ryu JM; Lee SK; Kim JY; Yu J; Kim SW; Lee JE; Han SH; Jung YS; Nam SJ
    Clin Breast Cancer; 2017 Nov; 17(7):550-558. PubMed ID: 28454926
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Machine Learning Radiomics-Based Prediction of Non-sentinel Lymph Node Metastasis in Chinese Breast Cancer Patients with 1-2 Positive Sentinel Lymph Nodes: A Multicenter Study.
    Lin G; Chen W; Fan Y; Zhou Y; Li X; Hu X; Cheng X; Chen M; Kong C; Chen M; Xu M; Peng Z; Ji J
    Acad Radiol; 2024 Aug; 31(8):3081-3095. PubMed ID: 38490840
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Automated Breast Ultrasound (ABUS)-based radiomics nomogram: an individualized tool for predicting axillary lymph node tumor burden in patients with early breast cancer.
    Chen Y; Xie Y; Li B; Shao H; Na Z; Wang Q; Jing H
    BMC Cancer; 2023 Apr; 23(1):340. PubMed ID: 37055722
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Predicting Non-sentinel Lymph Node Metastases in Patients with a Positive Sentinel Lymph Node After Neoadjuvant Chemotherapy.
    Barron AU; Hoskin TL; Boughey JC
    Ann Surg Oncol; 2018 Oct; 25(10):2867-2874. PubMed ID: 29956095
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Non-invasive prediction model of axillary lymph node status in patients with early-stage breast cancer: a feasibility study based on dynamic contrast-enhanced-MRI radiomics.
    Chen W; Lin G; Kong C; Wu X; Hu Y; Chen M; Xia S; Lu C; Xu M; Ji J
    Br J Radiol; 2024 Feb; 97(1154):439-450. PubMed ID: 38308028
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Can We Skip Intraoperative Evaluation of Sentinel Lymph Nodes? Nomogram Predicting Involvement of Three or More Axillary Lymph Nodes before Breast Cancer Surgery.
    Ahn SK; Kim MK; Kim J; Lee E; Yoo TK; Lee HB; Kang YJ; Kim J; Moon HG; Chang JM; Cho N; Moon WK; Park IA; Noh DY; Han W
    Cancer Res Treat; 2017 Oct; 49(4):1088-1096. PubMed ID: 28161935
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Development and external validation of a nomogram to predict four or more positive nodes in breast cancer patients with one to three positive sentinel lymph nodes.
    Yang Z; Lan X; Huang Z; Yang Y; Tang Y; Jing H; Wang J; Zhang J; Wang X; Gao J; Wang J; Xuan L; Fang Y; Ying J; Li Y; Huang X; Wang S
    Breast; 2020 Oct; 53():143-151. PubMed ID: 32823167
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Development and validation of a pre- and intra-operative scoring system that distinguishes between non-advanced and advanced axillary lymph node metastasis in breast cancer with positive sentinel lymph nodes: a retrospective study.
    Murata T; Watase C; Shiino S; Kurita A; Ogawa A; Jimbo K; Iwamoto E; Yoshida M; Takayama S; Suto A
    World J Surg Oncol; 2022 Sep; 20(1):314. PubMed ID: 36171615
    [TBL] [Abstract][Full Text] [Related]  

  • 15. The use of longitudinal CT-based radiomics and clinicopathological features predicts the pathological complete response of metastasized axillary lymph nodes in breast cancer.
    Wang J; Tian C; Zheng BJ; Zhang J; Jiao DC; Qu JR; Liu ZZ
    BMC Cancer; 2024 May; 24(1):549. PubMed ID: 38693523
    [TBL] [Abstract][Full Text] [Related]  

  • 16. MRI-Based Radiomics Nomogram: Prediction of Axillary Non-Sentinel Lymph Node Metastasis in Patients With Sentinel Lymph Node-Positive Breast Cancer.
    Qiu Y; Zhang X; Wu Z; Wu S; Yang Z; Wang D; Le H; Mao J; Dai G; Tian X; Zhou R; Huang J; Hu L; Shen J
    Front Oncol; 2022; 12():811347. PubMed ID: 35296027
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomogram based on radiomics analysis of primary breast cancer ultrasound images: prediction of axillary lymph node tumor burden in patients.
    Gao Y; Luo Y; Zhao C; Xiao M; Ma L; Li W; Qin J; Zhu Q; Jiang Y
    Eur Radiol; 2021 Feb; 31(2):928-937. PubMed ID: 32845388
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Individualized prediction of non-sentinel lymph node metastasis in Chinese breast cancer patients with ≥ 3 positive sentinel lymph nodes based on machine-learning algorithms.
    Xie X; Fang Y; He L; Chen Z; Chen C; Zeng H; Chen B; Huang G; Guo C; Zhang Q; Wu J
    BMC Cancer; 2024 Sep; 24(1):1090. PubMed ID: 39223574
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Radiomic Nomogram for Predicting Axillary Lymph Node Metastasis in Patients with Breast Cancer.
    Chen Y; Li J; Zhang J; Yu Z; Jiang H
    Acad Radiol; 2024 Mar; 31(3):788-799. PubMed ID: 37932165
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Can a machine-learning model improve the prediction of nodal stage after a positive sentinel lymph node biopsy in breast cancer?
    Madekivi V; Boström P; Karlsson A; Aaltonen R; Salminen E
    Acta Oncol; 2020 Jun; 59(6):689-695. PubMed ID: 32148141
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.