BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

173 related articles for article (PubMed ID: 36528686)

  • 1. Added value of histogram analysis of ADC in predicting radiation-induced temporal lobe injury of patients with nasopharyngeal carcinoma treated by intensity-modulated radiotherapy.
    Bao D; Zhao Y; Wu W; Zhong H; Yuan M; Li L; Lin M; Zhao X; Luo D
    Insights Imaging; 2022 Dec; 13(1):197. PubMed ID: 36528686
    [TBL] [Abstract][Full Text] [Related]  

  • 2. A MRI-based radiomics model predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
    Bao D; Zhao Y; Li L; Lin M; Zhu Z; Yuan M; Zhong H; Xu H; Zhao X; Luo D
    Eur Radiol; 2022 Oct; 32(10):6910-6921. PubMed ID: 35639143
    [TBL] [Abstract][Full Text] [Related]  

  • 3. MRI-based radiomics nomogram for predicting temporal lobe injury after radiotherapy in nasopharyngeal carcinoma.
    Hou J; Li H; Zeng B; Pang P; Ai Z; Li F; Lu Q; Yu X
    Eur Radiol; 2022 Feb; 32(2):1106-1114. PubMed ID: 34467454
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Magnetic resonance imaging-based radiomics model for predicting radiation-induced temporal lobe injury in nasopharyngeal carcinoma after intensity-modulated radiotherapy.
    Bao D; Zhao Y; Liu Z; Xu H; Zhang Y; Yuan M; Li L; Lin M; Zhao X; Luo D
    Head Neck; 2022 Dec; 44(12):2842-2853. PubMed ID: 36161397
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Nomogram Based on Clinical and Radiomics Data for Predicting Radiation-induced Temporal Lobe Injury in Patients with Non-metastatic Stage T4 Nasopharyngeal Carcinoma.
    Bin X; Zhu C; Tang Y; Li R; Ding Q; Xia W; Tang Y; Tang X; Yao D; Tang A
    Clin Oncol (R Coll Radiol); 2022 Dec; 34(12):e482-e492. PubMed ID: 36008245
    [TBL] [Abstract][Full Text] [Related]  

  • 6. MRI-based radiomics models for the early prediction of radiation-induced temporal lobe injury in nasopharyngeal carcinoma.
    Huang L; Yang Z; Zeng Z; Ren H; Jiang M; Hu Y; Xu Y; Zhang H; Ma K; Long L
    Front Neurol; 2023; 14():1135978. PubMed ID: 37006478
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine-learning based MRI radiomics models for early detection of radiation-induced brain injury in nasopharyngeal carcinoma.
    Zhang B; Lian Z; Zhong L; Zhang X; Dong Y; Chen Q; Zhang L; Mo X; Huang W; Yang W; Zhang S
    BMC Cancer; 2020 Jun; 20(1):502. PubMed ID: 32487085
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Differentiation between nasopharyngeal carcinoma and lymphoma at the primary site using whole-tumor histogram analysis of apparent diffusion coefficient maps.
    Lian S; Zhang C; Chi J; Huang Y; Shi F; Xie C
    Radiol Med; 2020 Jul; 125(7):647-653. PubMed ID: 32072391
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Evolution of radiation-induced temporal lobe injury after intensity-modulated radiation therapy in nasopharyngeal carcinoma: a large cohort retrospective study.
    Hou J; He Y; Li H; Ai Z; Lu Q; Zeng B; Xie C; Yu X
    Radiat Oncol; 2024 Jan; 19(1):9. PubMed ID: 38243277
    [TBL] [Abstract][Full Text] [Related]  

  • 10. [Characteristics of high resolution diffusion weighted imaging apparent diffusion coefficient histogram and its correlations with cancer stages in patients with nasopharyngeal carcinoma].
    Wang GJ; Wang Y; Ye Y; Chen F; Lu YT; Li SL
    Zhonghua Yi Xue Za Zhi; 2017 Nov; 97(41):3244-3249. PubMed ID: 29141363
    [No Abstract]   [Full Text] [Related]  

  • 11. Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions.
    Zhang J; Yu X; Zhang X; Chen S; Song Y; Xie L; Chen Y; Ouyang H
    BMC Med Imaging; 2022 Aug; 22(1):139. PubMed ID: 35941559
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Temporal Evolution of Parotid Volume and Parotid Apparent Diffusion Coefficient in Nasopharyngeal Carcinoma Patients Treated by Intensity-Modulated Radiotherapy Investigated by Magnetic Resonance Imaging: A Pilot Study.
    Juan CJ; Cheng CC; Chiu SC; Jen YM; Liu YJ; Chiu HC; Kao HW; Wang CW; Chung HW; Huang GS; Hsu HH
    PLoS One; 2015; 10(8):e0137073. PubMed ID: 26323091
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predictive accuracy of machine learning for radiation-induced temporal lobe injury in nasopharyngeal carcinoma patients: a systematic review and meta-analysis.
    Li Y; Gong F; Guo Y; Ng WT; Mejia MBA; Nei WL; Wang C; Jin Z
    Transl Cancer Res; 2023 Sep; 12(9):2361-2370. PubMed ID: 37859745
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine Learning Based on MRI DWI Radiomics Features for Prognostic Prediction in Nasopharyngeal Carcinoma.
    Hu Q; Wang G; Song X; Wan J; Li M; Zhang F; Chen Q; Cao X; Li S; Wang Y
    Cancers (Basel); 2022 Jun; 14(13):. PubMed ID: 35804973
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Prognostic variables for temporal lobe injury after intensity modulated-radiotherapy of nasopharyngeal carcinoma.
    Feng M; Huang Y; Fan X; Xu P; Lang J; Wang D
    Cancer Med; 2018 Mar; 7(3):557-564. PubMed ID: 29473319
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Value of Apparent Diffusion Coefficient Histogram Analysis in the Differential Diagnosis of Nasopharyngeal Lymphoma and Nasopharyngeal Carcinoma Based on Readout-Segmented Diffusion-Weighted Imaging.
    Song C; Cheng P; Cheng J; Zhang Y; Xie S
    Front Oncol; 2021; 11():632796. PubMed ID: 33777787
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Development and validation of an MRI-based radiomic model for predicting overall survival in nasopharyngeal carcinoma patients with local residual tumors after intensity-modulated radiotherapy.
    Jiang S; Han L; Liang L; Long L
    BMC Med Imaging; 2022 Oct; 22(1):174. PubMed ID: 36195860
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Histogram analysis of diffusion kurtosis imaging of nasopharyngeal carcinoma: Correlation between quantitative parameters and clinical stage.
    Xu XQ; Ma G; Wang YJ; Hu H; Su GY; Shi HB; Wu FY
    Oncotarget; 2017 Jul; 8(29):47230-47238. PubMed ID: 28525383
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Histogram analysis of apparent diffusion coefficient at 3.0 T in urinary bladder lesions: correlation with pathologic findings.
    Suo ST; Chen XX; Fan Y; Wu LM; Yao QY; Cao MQ; Liu Q; Xu JR
    Acad Radiol; 2014 Aug; 21(8):1027-34. PubMed ID: 24833566
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Apparent diffusion coefficient histogram analysis can evaluate radiation-induced parotid damage and predict late xerostomia degree in nasopharyngeal carcinoma.
    Zhou N; Guo T; Zheng H; Pan X; Chu C; Dou X; Li M; Liu S; Zhu L; Liu B; Chen W; He J; Yan J; Zhou Z; Yang X
    Oncotarget; 2017 Sep; 8(41):70226-70238. PubMed ID: 29050274
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.