BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 37817044)

  • 1. MRI feature-based radiomics models to predict treatment outcome after stereotactic body radiotherapy for spinal metastases.
    Chen Y; Qin S; Zhao W; Wang Q; Liu K; Xin P; Yuan H; Zhuang H; Lang N
    Insights Imaging; 2023 Oct; 14(1):169. PubMed ID: 37817044
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Radiomic modeling to predict risk of vertebral compression fracture after stereotactic body radiation therapy for spinal metastases.
    Gui C; Chen X; Sheikh K; Mathews L; Lo SL; Lee J; Khan MA; Sciubba DM; Redmond KJ
    J Neurosurg Spine; 2022 Feb; 36(2):294-302. PubMed ID: 34560656
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Radiomics Analysis of Multiparametric MRI for Prediction of Synchronous Lung Metastases in Osteosarcoma.
    Luo Z; Li J; Liao Y; Liu R; Shen X; Chen W
    Front Oncol; 2022; 12():802234. PubMed ID: 35273911
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Predictive value of magnetic resonance imaging radiomics-based machine learning for disease progression in patients with high-grade glioma.
    Li Z; Chen L; Song Y; Dai G; Duan L; Luo Y; Wang G; Xiao Q; Li G; Bai S
    Quant Imaging Med Surg; 2023 Jan; 13(1):224-236. PubMed ID: 36620140
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Development and validation of a radiomics-based prediction pipeline for the response to stereotactic radiosurgery therapy in brain metastases.
    Du P; Liu X; Xiang R; Lv K; Chen H; Liu W; Cao A; Chen L; Wang X; Yu T; Ding J; Li W; Li J; Li Y; Yu Z; Zhu L; Liu J; Geng D
    Eur Radiol; 2023 Dec; 33(12):8925-8935. PubMed ID: 37505244
    [TBL] [Abstract][Full Text] [Related]  

  • 6. 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]  

  • 7. Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.
    Tang Y; Yang CM; Su S; Wang WJ; Fan LP; Shu J
    BMC Cancer; 2021 Nov; 21(1):1268. PubMed ID: 34819043
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Predictive model based on DCE-MRI and clinical features for the evaluation of pain response after stereotactic body radiotherapy in patients with spinal metastases.
    Chen Y; Wang Q; Zhou G; Liu K; Qin S; Zhao W; Xin P; Yuan H; Zhuang H; Lang N
    Eur Radiol; 2023 Jul; 33(7):4812-4821. PubMed ID: 36735042
    [TBL] [Abstract][Full Text] [Related]  

  • 9. CT-based radiomics prediction of complete response after stereotactic body radiation therapy for patients with lung metastases.
    Cilla S; Pistilli D; Romano C; Macchia G; Pierro A; Arcelli A; Buwenge M; Morganti AG; Deodato F
    Strahlenther Onkol; 2023 Jul; 199(7):676-685. PubMed ID: 37256303
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MRI-based radiomics analysis for predicting the EGFR mutation based on thoracic spinal metastases in lung adenocarcinoma patients.
    Ren M; Yang H; Lai Q; Shi D; Liu G; Shuang X; Su J; Xie L; Dong Y; Jiang X
    Med Phys; 2021 Sep; 48(9):5142-5151. PubMed ID: 34318502
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multiparametric MRI-Based Radiomics Approaches for Preoperative Prediction of EGFR Mutation Status in Spinal Bone Metastases in Patients with Lung Adenocarcinoma.
    Jiang X; Ren M; Shuang X; Yang H; Shi D; Lai Q; Dong Y
    J Magn Reson Imaging; 2021 Aug; 54(2):497-507. PubMed ID: 33638577
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Multi-Parametric Magnetic Resonance Imaging-Based Radiomics Analysis of Cervical Cancer for Preoperative Prediction of Lymphovascular Space Invasion.
    Huang G; Cui Y; Wang P; Ren J; Wang L; Ma Y; Jia Y; Ma X; Zhao L
    Front Oncol; 2021; 11():663370. PubMed ID: 35096556
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Pretreatment MR imaging radiomics signatures for response prediction to induction chemotherapy in patients with nasopharyngeal carcinoma.
    Wang G; He L; Yuan C; Huang Y; Liu Z; Liang C
    Eur J Radiol; 2018 Jan; 98():100-106. PubMed ID: 29279146
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Biparametric magnetic resonance imaging-based radiomics features for prediction of lymphovascular invasion in rectal cancer.
    Tong P; Sun D; Chen G; Ni J; Li Y
    BMC Cancer; 2023 Jan; 23(1):61. PubMed ID: 36650498
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Application of MRI-based Radiomics Models in the Assessment of Hepatic Metastasis of Rectal Cancer].
    Hu SX; Yang K; Wang XR; Wen DG; Xia CC; Li X; Li ZL
    Sichuan Da Xue Xue Bao Yi Xue Ban; 2021 Mar; 52(2):311-318. PubMed ID: 33829708
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Considerable effects of imaging sequences, feature extraction, feature selection, and classifiers on radiomics-based prediction of microvascular invasion in hepatocellular carcinoma using magnetic resonance imaging.
    Dai H; Lu M; Huang B; Tang M; Pang T; Liao B; Cai H; Huang M; Zhou Y; Chen X; Ding H; Feng ST
    Quant Imaging Med Surg; 2021 May; 11(5):1836-1853. PubMed ID: 33936969
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Prediction of recurrence of ischemic stroke within 1 year of discharge based on machine learning MRI radiomics.
    Liu J; Wu Y; Jia W; Han M; Chen Y; Li J; Wu B; Yin S; Zhang X; Chen J; Yu P; Luo H; Tu J; Zhou F; Cheng X; Yi Y
    Front Neurosci; 2023; 17():1110579. PubMed ID: 37214402
    [TBL] [Abstract][Full Text] [Related]  

  • 18. MRI-based radiomics analysis to predict preoperative lymph node metastasis in papillary thyroid carcinoma.
    Hu W; Wang H; Wei R; Wang L; Dai Z; Duan S; Ge Y; Wu PY; Song B
    Gland Surg; 2020 Oct; 9(5):1214-1226. PubMed ID: 33224796
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction of Clinical Outcome for High-Intensity Focused Ultrasound Ablation of Uterine Leiomyomas Using Multiparametric MRI Radiomics-Based Machine Leaning Model.
    Zheng Y; Chen L; Liu M; Wu J; Yu R; Lv F
    Front Oncol; 2021; 11():618604. PubMed ID: 34567999
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A combined radiomics and clinical variables model for prediction of malignancy in T2 hyperintense uterine mesenchymal tumors on MRI.
    Wang T; Gong J; Li Q; Chu C; Shen W; Peng W; Gu Y; Li W
    Eur Radiol; 2021 Aug; 31(8):6125-6135. PubMed ID: 33486606
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.