BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

166 related articles for article (PubMed ID: 36351312)

  • 1. Nomogram for Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Combining Both Clinicopathological and Imaging Indicators.
    Wang H; Lu Y; Li Y; Li S; Zhang X; Geng C
    Curr Probl Cancer; 2022 Dec; 46(6):100914. PubMed ID: 36351312
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of Multiparametric MRI Radiomics-Based Nomogram in Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer: A Two-Center study.
    Wang X; Hua H; Han J; Zhong X; Liu J; Chen J
    Clin Breast Cancer; 2023 Aug; 23(6):e331-e344. PubMed ID: 37321954
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Individualized model for predicting pathological complete response to neoadjuvant chemotherapy in patients with breast cancer: A multicenter study.
    Qian B; Yang J; Zhou J; Hu L; Zhang S; Ren M; Qu X
    Front Endocrinol (Lausanne); 2022; 13():955250. PubMed ID: 36060977
    [TBL] [Abstract][Full Text] [Related]  

  • 4. [Construction of a nomogram prediction model for pathological complete response (pCR) of ipsilateral supraclavicular lymph node after neoadjuvant chemotherapy for breast cancer with first diagnosis of ipsilateral supraclavicular lymph node metastasis].
    Lyu MH; Jiao DC; Wu JZ; Tian PQ; Ma YZ; Liu ZZ; Chen XC
    Zhonghua Zhong Liu Za Zhi; 2022 Feb; 44(2):160-166. PubMed ID: 35184460
    [No Abstract]   [Full Text] [Related]  

  • 5. Development and validation of a nomogram based on pretreatment dynamic contrast-enhanced MRI for the prediction of pathologic response after neoadjuvant chemotherapy for triple-negative breast cancer.
    Li Y; Chen Y; Zhao R; Ji Y; Li J; Zhang Y; Lu H
    Eur Radiol; 2022 Mar; 32(3):1676-1687. PubMed ID: 34767068
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Radiomics of contrast-enhanced spectral mammography for prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer.
    Zhang K; Lin J; Lin F; Wang Z; Zhang H; Zhang S; Mao N; Qiao G
    J Xray Sci Technol; 2023; 31(4):669-683. PubMed ID: 37066960
    [TBL] [Abstract][Full Text] [Related]  

  • 7. A nomogram for predicting pathological complete response in patients with human epidermal growth factor receptor 2 negative breast cancer.
    Jin X; Jiang YZ; Chen S; Yu KD; Ma D; Sun W; Shao ZM; Di GH
    BMC Cancer; 2016 Aug; 16():606. PubMed ID: 27495967
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Prediction of response to neoadjuvant chemotherapy in advanced gastric cancer: A radiomics nomogram analysis based on CT images and clinicopathological features.
    Tan X; Yang X; Hu S; Ge Y; Wu Q; Wang J; Sun Z
    J Xray Sci Technol; 2023; 31(1):49-61. PubMed ID: 36314190
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Development and Validation of a Nomogram for Individually Predicting Pathologic Complete Remission After Preoperative Chemotherapy in Chinese Breast Cancer: A Population-Based Study.
    Hou N; Xiao J; Wang Z; Wu Y; Hou G; Guo L; Zhang J; Ling R
    Clin Breast Cancer; 2020 Dec; 20(6):e682-e694. PubMed ID: 32713825
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Construction and validation of a prognostic nutritional index-based nomogram for predicting pathological complete response in breast cancer: a two-center study of 1,170 patients.
    Qu F; Luo Y; Peng Y; Yu H; Sun L; Liu S; Zeng X
    Front Immunol; 2023; 14():1335546. PubMed ID: 38274836
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of pathological complete response of breast cancer patients who received neoadjuvant chemotherapy with a nomogram based on clinicopathologic variables, ultrasound, and MRI.
    Zhang MQ; Liu XP; Du Y; Zha HL; Zha XM; Wang J; Liu XA; Wang SJ; Zou QG; Zhang JL; Li CY
    Br J Radiol; 2024 Jan; 97(1153):228-236. PubMed ID: 38263817
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Prediction of neoadjuvant chemotherapy pathological complete response for breast cancer based on radiomics nomogram of intratumoral and derived tissue.
    Zheng G; Hou J; Shu Z; Peng J; Han L; Yuan Z; He X; Gong X
    BMC Med Imaging; 2024 Jan; 24(1):22. PubMed ID: 38245712
    [TBL] [Abstract][Full Text] [Related]  

  • 13. [Risk factor analysis on anastomotic leakage after laparoscopic surgery in rectal cancer patient with neoadjuvant therapy and establishment of a nomogram prediction model].
    Jiang W; Feng MY; Dong XY; Dong SM; Zheng JX; Liu XM; Liu WJ; Yan J
    Zhonghua Wei Chang Wai Ke Za Zhi; 2019 Aug; 22(8):748-754. PubMed ID: 31422613
    [No Abstract]   [Full Text] [Related]  

  • 14. Nomogram for Early Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Using Dynamic Contrast-enhanced and Diffusion-weighted MRI.
    Zhao R; Lu H; Li YB; Shao ZZ; Ma WJ; Liu PF
    Acad Radiol; 2022 Jan; 29 Suppl 1():S155-S163. PubMed ID: 33593702
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Factors Affecting Pathologic Complete Response Following Neoadjuvant Chemotherapy in Breast Cancer: Development and Validation of a Predictive Nomogram.
    Kim SY; Cho N; Choi Y; Lee SH; Ha SM; Kim ES; Chang JM; Moon WK
    Radiology; 2021 May; 299(2):290-300. PubMed ID: 33754824
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Nomogram based on quantitative dynamic contrast-enhanced magnetic resonance imaging, apparent diffusion coefficient, and clinicopathological features for early prediction of pathologic complete response in breast cancer patients receiving neoadjuvant chemotherapy.
    He M; Su J; Ruan H; Song Y; Ma M; Xue F
    Quant Imaging Med Surg; 2023 Jul; 13(7):4089-4102. PubMed ID: 37456283
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Nomogram for predicting axillary lymph node pathological response in node-positive breast cancer patients after neoadjuvant chemotherapy.
    Wang W; Wang X; Liu J; Zhu Q; Wang X; Wang P
    Chin Med J (Engl); 2021 Dec; 135(3):333-340. PubMed ID: 35108228
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Value of radiomics based on CE-MRI for predicting the efficacy of neoadjuvant chemotherapy in invasive breast cancer.
    Li Q; Huang Y; Xiao Q; Duan S; Wang S; Li J; Niu Q; Gu Y
    Br J Radiol; 2022 Oct; 95(1139):20220186. PubMed ID: 36005646
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Can We Reliably Identify the Pathological Outcomes of Neoadjuvant Chemotherapy in Patients with Breast Cancer? Development and Validation of a Logistic Regression Nomogram Based on Preoperative Factors.
    Zhang J; Xiao L; Pu S; Liu Y; He J; Wang K
    Ann Surg Oncol; 2021 May; 28(5):2632-2645. PubMed ID: 33095360
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Prognostic Model of D2 Radical Gastrectomy Combined with Neoadjuvant Chemotherapy for Gastric Cancer.
    Wang G; Tan Y; Jiang Y; Liu J; Su Y; Sun Z; Liu B
    Risk Manag Healthc Policy; 2023; 16():1259-1271. PubMed ID: 37456825
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.