BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

158 related articles for article (PubMed ID: 37059936)

  • 21. MRI-based multiregional radiomics for predicting lymph nodes status and prognosis in patients with resectable rectal cancer.
    Li H; Chen XL; Liu H; Lu T; Li ZL
    Front Oncol; 2022; 12():1087882. PubMed ID: 36686763
    [TBL] [Abstract][Full Text] [Related]  

  • 22. The value of radiographic features in predicting postoperative facial nerve function in vestibular schwannoma patients: A retrospective study and nomogram analysis.
    Shi X; Liu Y; Zhang Z; Tao B; Zhang D; Jiang Q; Chen G; Ma H; Feng Y; Xie J; Zheng X; Zhang J
    CNS Neurosci Ther; 2024 Apr; 30(4):e14526. PubMed ID: 37990346
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Machine Learning-based Analysis of Rectal Cancer MRI Radiomics for Prediction of Metachronous Liver Metastasis.
    Liang M; Cai Z; Zhang H; Huang C; Meng Y; Zhao L; Li D; Ma X; Zhao X
    Acad Radiol; 2019 Nov; 26(11):1495-1504. PubMed ID: 30711405
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Multiparametric MRI Radiomic Model for Preoperative Predicting WHO/ISUP Nuclear Grade of Clear Cell Renal Cell Carcinoma.
    Li Q; Liu YJ; Dong D; Bai X; Huang QB; Guo AT; Ye HY; Tian J; Wang HY
    J Magn Reson Imaging; 2020 Nov; 52(5):1557-1566. PubMed ID: 32462799
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Developing and validating a deep learning and radiomic model for glioma grading using multiplanar reconstructed magnetic resonance contrast-enhanced T1-weighted imaging: a robust, multi-institutional study.
    Ding J; Zhao R; Qiu Q; Chen J; Duan J; Cao X; Yin Y
    Quant Imaging Med Surg; 2022 Feb; 12(2):1517-1528. PubMed ID: 35111644
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Development and validation of a radiomic nomogram based on pretherapy dual-energy CT for distinguishing adenocarcinoma from squamous cell carcinoma of the lung.
    Chen Z; Yi L; Peng Z; Zhou J; Zhang Z; Tao Y; Lin Z; He A; Jin M; Zuo M
    Front Oncol; 2022; 12():949111. PubMed ID: 36505773
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Machine learning-based multiparametric MRI radiomics for predicting the aggressiveness of papillary thyroid carcinoma.
    Wang H; Song B; Ye N; Ren J; Sun X; Dai Z; Zhang Y; Chen BT
    Eur J Radiol; 2020 Jan; 122():108755. PubMed ID: 31783344
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Machine learning-based radiomic models to predict intensity-modulated radiation therapy response, Gleason score and stage in prostate cancer.
    Abdollahi H; Mofid B; Shiri I; Razzaghdoust A; Saadipoor A; Mahdavi A; Galandooz HM; Mahdavi SR
    Radiol Med; 2019 Jun; 124(6):555-567. PubMed ID: 30607868
    [TBL] [Abstract][Full Text] [Related]  

  • 29. An MRI-Based Radiomic Nomogram for Discrimination Between Malignant and Benign Sinonasal Tumors.
    Zhang H; Wang H; Hao D; Ge Y; Wan G; Zhang J; Liu S; Zhang Y; Xu D
    J Magn Reson Imaging; 2021 Jan; 53(1):141-151. PubMed ID: 32776393
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Predicting long-term facial nerve outcome after acoustic neuroma surgery.
    Arriaga MA; Luxford WM; Atkins JS; Kwartler JA
    Otolaryngol Head Neck Surg; 1993 Mar; 108(3):220-4. PubMed ID: 8464633
    [TBL] [Abstract][Full Text] [Related]  

  • 31. [Facial nerve preservation following microsurgical removal of large and huge acoustic neuroma].
    Li JM; Yuan XR; Liu Q; Ding XP; Peng ZF
    Zhonghua Wai Ke Za Zhi; 2011 Mar; 49(3):240-4. PubMed ID: 21609569
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Non-contrast magnetic resonance imaging for monitoring patients with acoustic neuroma.
    Forgues M; Mehta R; Anderson D; Morel C; Miller L; Sevy A; Son L; Arriaga M
    J Laryngol Otol; 2018 Sep; 132(9):780-785. PubMed ID: 30117408
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Convolutional neural network-based magnetic resonance image differentiation of filum terminale ependymomas from schwannomas.
    Gu Z; Dai W; Chen J; Jiang Q; Lin W; Wang Q; Chen J; Gu C; Li J; Ying G; Zhu Y
    BMC Cancer; 2024 Mar; 24(1):350. PubMed ID: 38504164
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Deep learning-based radiomic features for improving neoadjuvant chemoradiation response prediction in locally advanced rectal cancer.
    Fu J; Zhong X; Li N; Van Dams R; Lewis J; Sung K; Raldow AC; Jin J; Qi XS
    Phys Med Biol; 2020 Apr; 65(7):075001. PubMed ID: 32092710
    [TBL] [Abstract][Full Text] [Related]  

  • 35. 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]  

  • 36. Multiparametric MR radiomics in brain glioma: models comparation to predict biomarker status.
    He J; Ren J; Niu G; Liu A; Wu Q; Xie S; Ma X; Li B; Wang P; Shen J; Wu J; Gao Y
    BMC Med Imaging; 2022 Aug; 22(1):137. PubMed ID: 35931979
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The Nomogram of MRI-based Radiomics with Complementary Visual Features by Machine Learning Improves Stratification of Glioblastoma Patients: A Multicenter Study.
    Xu Y; He X; Li Y; Pang P; Shu Z; Gong X
    J Magn Reson Imaging; 2021 Aug; 54(2):571-583. PubMed ID: 33559302
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Intratumoral and peritumoral radiomics based on dynamic contrast-enhanced MRI for preoperative prediction of intraductal component in invasive breast cancer.
    Xu H; Liu J; Chen Z; Wang C; Liu Y; Wang M; Zhou P; Luo H; Ren J
    Eur Radiol; 2022 Jul; 32(7):4845-4856. PubMed ID: 35079887
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Predicting IDH subtype of grade 4 astrocytoma and glioblastoma from tumor radiomic patterns extracted from multiparametric magnetic resonance images using a machine learning approach.
    Kandalgaonkar P; Sahu A; Saju AC; Joshi A; Mahajan A; Thakur M; Sahay A; Epari S; Sinha S; Dasgupta A; Chatterjee A; Shetty P; Moiyadi A; Agarwal J; Gupta T; Goda JS
    Front Oncol; 2022; 12():879376. PubMed ID: 36276136
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Predicting N2 lymph node metastasis in presurgical stage I-II non-small cell lung cancer using multiview radiomics and deep learning method.
    Zhang H; Liao M; Guo Q; Chen J; Wang S; Liu S; Xiao F
    Med Phys; 2023 Apr; 50(4):2049-2060. PubMed ID: 36563341
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.