BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

363 related articles for article (PubMed ID: 35364712)

  • 1. Automated prediction of the neoadjuvant chemotherapy response in osteosarcoma with deep learning and an MRI-based radiomics nomogram.
    Zhong J; Zhang C; Hu Y; Zhang J; Liu Y; Si L; Xing Y; Ding D; Geng J; Jiao Q; Zhang H; Yang G; Yao W
    Eur Radiol; 2022 Sep; 32(9):6196-6206. PubMed ID: 35364712
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Evaluation of the neoadjuvant chemotherapy response in osteosarcoma using the MRI DWI-based machine learning radiomics nomogram.
    Zhang L; Gao Q; Dou Y; Cheng T; Xia Y; Li H; Gao S
    Front Oncol; 2024; 14():1345576. PubMed ID: 38577327
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MRI-based radiomics signature for pretreatment prediction of pathological response to neoadjuvant chemotherapy in osteosarcoma: a multicenter study.
    Chen H; Zhang X; Wang X; Quan X; Deng Y; Lu M; Wei Q; Ye Q; Zhou Q; Xiang Z; Liang C; Yang W; Zhao Y
    Eur Radiol; 2021 Oct; 31(10):7913-7924. PubMed ID: 33825032
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A Delta-radiomics model for preoperative evaluation of Neoadjuvant chemotherapy response in high-grade osteosarcoma.
    Lin P; Yang PF; Chen S; Shao YY; Xu L; Wu Y; Teng W; Zhou XZ; Li BH; Luo C; Xu LM; Huang M; Niu TY; Ye ZM
    Cancer Imaging; 2020 Jan; 20(1):7. PubMed ID: 31937372
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Prediction of response to preoperative neoadjuvant chemotherapy in extremity high-grade osteosarcoma using X-ray and multiparametric MRI radiomics.
    Luo Z; Li J; Liao Y; Huang W; Li Y; Shen X
    J Xray Sci Technol; 2023; 31(3):611-626. PubMed ID: 37005907
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development and external validation of an MRI-based radiomics nomogram for pretreatment prediction for early relapse in osteosarcoma: A retrospective multicenter study.
    Chen H; Liu J; Cheng Z; Lu X; Wang X; Lu M; Li S; Xiang Z; Zhou Q; Liu Z; Zhao Y
    Eur J Radiol; 2020 Aug; 129():109066. PubMed ID: 32502729
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Automated Prediction of Early Recurrence in Advanced Sinonasal Squamous Cell Carcinoma With Deep Learning and Multi-parametric MRI-based Radiomics Nomogram.
    Lin M; Lin N; Yu S; Sha Y; Zeng Y; Liu A; Niu Y
    Acad Radiol; 2023 Oct; 30(10):2201-2211. PubMed ID: 36925335
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Multiparametric MRI-based radiomics nomogram for early prediction of pathological response to neoadjuvant chemotherapy in locally advanced gastric cancer.
    Li J; Yin H; Wang Y; Zhang H; Ma F; Li H; Qu J
    Eur Radiol; 2023 Apr; 33(4):2746-2756. PubMed ID: 36512039
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics features based on automatic segmented MRI images: Prognostic biomarkers for triple-negative breast cancer treated with neoadjuvant chemotherapy.
    Ma M; Gan L; Liu Y; Jiang Y; Xin L; Liu Y; Qin N; Cheng Y; Liu Q; Xu L; Zhang Y; Wang X; Zhang X; Ye J; Wang X
    Eur J Radiol; 2022 Jan; 146():110095. PubMed ID: 34890936
    [TBL] [Abstract][Full Text] [Related]  

  • 11. 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]  

  • 12. Machine Learning-Based Radiomics Nomogram With Dynamic Contrast-Enhanced MRI of the Osteosarcoma for Evaluation of Efficacy of Neoadjuvant Chemotherapy.
    Zhang L; Ge Y; Gao Q; Zhao F; Cheng T; Li H; Xia Y
    Front Oncol; 2021; 11():758921. PubMed ID: 34868973
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Combining Deep Learning and Radiomics for Automated, Objective, Comprehensive Bone Marrow Characterization From Whole-Body MRI: A Multicentric Feasibility Study.
    Wennmann M; Klein A; Bauer F; Chmelik J; Grözinger M; Uhlenbrock C; Lochner J; Nonnenmacher T; Rotkopf LT; Sauer S; Hielscher T; Götz M; Floca RO; Neher P; Bonekamp D; Hillengass J; Kleesiek J; Weinhold N; Weber TF; Goldschmidt H; Delorme S; Maier-Hein K; Schlemmer HP
    Invest Radiol; 2022 Nov; 57(11):752-763. PubMed ID: 35640004
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. Multi-modal radiomics model to predict treatment response to neoadjuvant chemotherapy for locally advanced rectal cancer.
    Li ZY; Wang XD; Li M; Liu XJ; Ye Z; Song B; Yuan F; Yuan Y; Xia CC; Zhang X; Li Q
    World J Gastroenterol; 2020 May; 26(19):2388-2402. PubMed ID: 32476800
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning algorithm-based multimodal MRI radiomics and pathomics data improve prediction of bone metastases in primary prostate cancer.
    Zhang YF; Zhou C; Guo S; Wang C; Yang J; Yang ZJ; Wang R; Zhang X; Zhou FH
    J Cancer Res Clin Oncol; 2024 Feb; 150(2):78. PubMed ID: 38316655
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of Histologic Neoadjuvant Chemotherapy Response in Osteosarcoma Using Pretherapeutic MRI Radiomics.
    Bouhamama A; Leporq B; Khaled W; Nemeth A; Brahmi M; Dufau J; Marec-Bérard P; Drapé JL; Gouin F; Bertrand-Vasseur A; Blay JY; Beuf O; Pilleul F
    Radiol Imaging Cancer; 2022 Sep; 4(5):e210107. PubMed ID: 36178349
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI-based radiomics signature for identification of invisible basal cisterns changes in tuberculous meningitis: a preliminary multicenter study.
    Ma Q; Yi Y; Liu T; Wen X; Shan F; Feng F; Yan Q; Shen J; Yang G; Shi Y
    Eur Radiol; 2022 Dec; 32(12):8659-8669. PubMed ID: 35748898
    [TBL] [Abstract][Full Text] [Related]  

  • 19. T2-weighted MRI radiomics in high-grade intramedullary osteosarcoma: predictive accuracy in assessing histologic response to chemotherapy, overall survival, and disease-free survival.
    White LM; Atinga A; Naraghi AM; Lajkosz K; Wunder JS; Ferguson P; Tsoi K; Griffin A; Haider M
    Skeletal Radiol; 2023 Mar; 52(3):553-564. PubMed ID: 35778618
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Pretreatment ultrasound-based deep learning radiomics model for the early prediction of pathologic response to neoadjuvant chemotherapy in breast cancer.
    Yu FH; Miao SM; Li CY; Hang J; Deng J; Ye XH; Liu Y
    Eur Radiol; 2023 Aug; 33(8):5634-5644. PubMed ID: 36976336
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 19.