BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 34836507)

  • 1. Prediction of BRCA gene mutation status in epithelial ovarian cancer by radiomics models based on 2D and 3D CT images.
    Mingzhu L; Yaqiong G; Mengru L; Wei W
    BMC Med Imaging; 2021 Nov; 21(1):180. PubMed ID: 34836507
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Application Values of 2D and 3D Radiomics Models Based on CT Plain Scan in Differentiating Benign from Malignant Ovarian Tumors.
    Li S; Liu J; Xiong Y; Han Y; Pang P; Luo P; Fan B
    Biomed Res Int; 2022; 2022():5952296. PubMed ID: 35224097
    [TBL] [Abstract][Full Text] [Related]  

  • 3. A radiomics approach for automated diagnosis of ovarian neoplasm malignancy in computed tomography.
    Li S; Liu J; Xiong Y; Pang P; Lei P; Zou H; Zhang M; Fan B; Luo P
    Sci Rep; 2021 Apr; 11(1):8730. PubMed ID: 33888749
    [TBL] [Abstract][Full Text] [Related]  

  • 4. MR-based radiomics-clinical nomogram in epithelial ovarian tumor prognosis prediction: tumor body texture analysis across various acquisition protocols.
    Wang T; Wang H; Wang Y; Liu X; Ling L; Zhang G; Yang G; Zhang H
    J Ovarian Res; 2022 Jan; 15(1):6. PubMed ID: 35022079
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ultrasound-based radiomics for predicting different pathological subtypes of epithelial ovarian cancer before surgery.
    Tang ZP; Ma Z; He Y; Liu RC; Jin BB; Wen DY; Wen R; Yin HH; Qiu CC; Gao RZ; Ma Y; Yang H
    BMC Med Imaging; 2022 Aug; 22(1):147. PubMed ID: 35996097
    [TBL] [Abstract][Full Text] [Related]  

  • 6. CT-Based Radiomics for the Preoperative Prediction of Occult Peritoneal Metastasis in Epithelial Ovarian Cancers.
    Li J; Zhang J; Wang F; Ma J; Cui S; Ye Z
    Acad Radiol; 2024 May; 31(5):1918-1930. PubMed ID: 38072725
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Development of unenhanced CT-based imaging signature for BAP1 mutation status prediction in malignant pleural mesothelioma: Consideration of 2D and 3D segmentation.
    Xie XJ; Liu SY; Chen JY; Zhao Y; Jiang J; Wu L; Zhang XW; Wu Y; Duan H; He B; Luo H; Han D
    Lung Cancer; 2021 Jul; 157():30-39. PubMed ID: 34052706
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Contrast-enhanced CT radiomics for preoperative prediction of stage in epithelial ovarian cancer: a multicenter study.
    Leng Y; Kan A; Wang X; Li X; Xiao X; Wang Y; Liu L; Gong L
    BMC Cancer; 2024 Mar; 24(1):307. PubMed ID: 38448945
    [TBL] [Abstract][Full Text] [Related]  

  • 9. A radiomics model to predict the invasiveness of thymic epithelial tumors based on contrast‑enhanced computed tomography.
    Chen X; Feng B; Li C; Duan X; Chen Y; Li Z; Liu Z; Zhang C; Long W
    Oncol Rep; 2020 Apr; 43(4):1256-1266. PubMed ID: 32323834
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Development of a radiomics nomogram based on the 2D and 3D CT features to predict the survival of non-small cell lung cancer patients.
    Yang L; Yang J; Zhou X; Huang L; Zhao W; Wang T; Zhuang J; Tian J
    Eur Radiol; 2019 May; 29(5):2196-2206. PubMed ID: 30523451
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Assistance by Routine CT Features Combined With 3D Texture Analysis in the Diagnosis of BRCA Gene Mutation Status in Advanced Epithelial Ovarian Cancer.
    Li MR; Liu MZ; Ge YQ; Zhou Y; Wei W
    Front Oncol; 2021; 11():696780. PubMed ID: 34381719
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Application of computed tomography-based radiomics in differential diagnosis of adenocarcinoma and squamous cell carcinoma at the esophagogastric junction.
    Du KP; Huang WP; Liu SY; Chen YJ; Li LM; Liu XN; Han YJ; Zhou Y; Liu CC; Gao JB
    World J Gastroenterol; 2022 Aug; 28(31):4363-4375. PubMed ID: 36159013
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Application of CT radiomics in prediction of early recurrence in hepatocellular carcinoma.
    Ning P; Gao F; Hai J; Wu M; Chen J; Zhu S; Wang M; Shi D
    Abdom Radiol (NY); 2020 Jan; 45(1):64-72. PubMed ID: 31486869
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Computed tomography radiomics identification of T1-2 and T3-4 stages of esophageal squamous cell carcinoma: two-dimensional or three-dimensional?
    Li Y; Yang L; Gu X; Wang Q; Shi G; Zhang A; Yue M; Wang M; Ren J
    Abdom Radiol (NY); 2024 Jan; 49(1):288-300. PubMed ID: 37843576
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Computed Tomography-Based Radiomics Model to Predict Central Cervical Lymph Node Metastases in Papillary Thyroid Carcinoma: A Multicenter Study.
    Li J; Wu X; Mao N; Zheng G; Zhang H; Mou Y; Jia C; Mi J; Song X
    Front Endocrinol (Lausanne); 2021; 12():741698. PubMed ID: 34745008
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Radiomics signature: A potential and incremental predictor for EGFR mutation status in NSCLC patients, comparison with CT morphology.
    Tu W; Sun G; Fan L; Wang Y; Xia Y; Guan Y; Li Q; Zhang D; Liu S; Li Z
    Lung Cancer; 2019 Jun; 132():28-35. PubMed ID: 31097090
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Dosiomics and radiomics improve the prediction of post-radiotherapy neutrophil-lymphocyte ratio in locally advanced non-small cell lung cancer.
    Hou R; Xia W; Zhang C; Shao Y; Zhu X; Feng W; Zhang Q; Yu W; Fu X; Zhao J
    Med Phys; 2024 Jan; 51(1):650-661. PubMed ID: 37963229
    [TBL] [Abstract][Full Text] [Related]  

  • 18. CT-based radiomics signature: a potential biomarker for preoperative prediction of early recurrence in hepatocellular carcinoma.
    Zhou Y; He L; Huang Y; Chen S; Wu P; Ye W; Liu Z; Liang C
    Abdom Radiol (NY); 2017 Jun; 42(6):1695-1704. PubMed ID: 28180924
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Application of contrast-enhanced CT radiomics in prediction of early recurrence of locally advanced oesophageal squamous cell carcinoma after trimodal therapy.
    Tang S; Ou J; Liu J; Wu YP; Wu CQ; Chen TW; Zhang XM; Li R; Tang MJ; Yang LQ; Tan BG; Lu FL; Hu J
    Cancer Imaging; 2021 May; 21(1):38. PubMed ID: 34039403
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A multi-organ cancer study of the classification performance using 2D and 3D image features in radiomics analysis.
    Xu L; Yang P; Yen EA; Wan Y; Jiang Y; Cao Z; Shen X; Wu Y; Wang J; Luo C; Niu T
    Phys Med Biol; 2019 Nov; 64(21):215009. PubMed ID: 31561245
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.