BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

136 related articles for article (PubMed ID: 37079154)

  • 1. Topology-based radiomic features for prediction of parotid gland cancer malignancy grade in magnetic resonance images.
    Ikushima K; Arimura H; Yasumatsu R; Kamezawa H; Ninomiya K
    MAGMA; 2023 Oct; 36(5):767-777. PubMed ID: 37079154
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
    Yu Y; He Z; Ouyang J; Tan Y; Chen Y; Gu Y; Mao L; Ren W; Wang J; Lin L; Wu Z; Liu J; Ou Q; Hu Q; Li A; Chen K; Li C; Lu N; Li X; Su F; Liu Q; Xie C; Yao H
    EBioMedicine; 2021 Jul; 69():103460. PubMed ID: 34233259
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Homology-based radiomic features for prediction of the prognosis of lung cancer based on CT-based radiomics.
    Kadoya N; Tanaka S; Kajikawa T; Tanabe S; Abe K; Nakajima Y; Yamamoto T; Takahashi N; Takeda K; Dobashi S; Takeda K; Nakane K; Jingu K
    Med Phys; 2020 Jun; 47(5):2197-2205. PubMed ID: 32096876
    [TBL] [Abstract][Full Text] [Related]  

  • 4. A machine learning model to precisely immunohistochemically classify pituitary adenoma subtypes with radiomics based on preoperative magnetic resonance imaging.
    Peng A; Dai H; Duan H; Chen Y; Huang J; Zhou L; Chen L
    Eur J Radiol; 2020 Apr; 125():108892. PubMed ID: 32087466
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Radiomic model for differentiating parotid pleomorphic adenoma from parotid adenolymphoma based on MRI images.
    Song LL; Chen SJ; Chen W; Shi Z; Wang XD; Song LN; Chen DS
    BMC Med Imaging; 2021 Mar; 21(1):54. PubMed ID: 33743615
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis?
    Vernuccio F; Arnone F; Cannella R; Verro B; Comelli A; Agnello F; Stefano A; Gargano R; Rodolico V; Salvaggio G; Lagalla R; Midiri M; Lo Casto A
    Br J Radiol; 2021 Dec; 94(1128):20210340. PubMed ID: 34591597
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting acute radiation induced xerostomia in head and neck Cancer using MR and CT Radiomics of parotid and submandibular glands.
    Sheikh K; Lee SH; Cheng Z; Lakshminarayanan P; Peng L; Han P; McNutt TR; Quon H; Lee J
    Radiat Oncol; 2019 Jul; 14(1):131. PubMed ID: 31358029
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. How can we combat multicenter variability in MR radiomics? Validation of a correction procedure.
    Orlhac F; Lecler A; Savatovski J; Goya-Outi J; Nioche C; Charbonneau F; Ayache N; Frouin F; Duron L; Buvat I
    Eur Radiol; 2021 Apr; 31(4):2272-2280. PubMed ID: 32975661
    [TBL] [Abstract][Full Text] [Related]  

  • 10. MR Imaging-Based Radiomic Signatures of Distinct Molecular Subgroups of Medulloblastoma.
    Iv M; Zhou M; Shpanskaya K; Perreault S; Wang Z; Tranvinh E; Lanzman B; Vajapeyam S; Vitanza NA; Fisher PG; Cho YJ; Laughlin S; Ramaswamy V; Taylor MD; Cheshier SH; Grant GA; Young Poussaint T; Gevaert O; Yeom KW
    AJNR Am J Neuroradiol; 2019 Jan; 40(1):154-161. PubMed ID: 30523141
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI.
    Cuocolo R; Ugga L; Solari D; Corvino S; D'Amico A; Russo D; Cappabianca P; Cavallo LM; Elefante A
    Neuroradiology; 2020 Dec; 62(12):1649-1656. PubMed ID: 32705290
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Classification of parotid gland tumors by using multimodal MRI and deep learning.
    Chang YJ; Huang TY; Liu YJ; Chung HW; Juan CJ
    NMR Biomed; 2021 Jan; 34(1):e4408. PubMed ID: 32886955
    [TBL] [Abstract][Full Text] [Related]  

  • 13. MRI radiomics-based machine-learning classification of bone chondrosarcoma.
    Gitto S; Cuocolo R; Albano D; Chianca V; Messina C; Gambino A; Ugga L; Cortese MC; Lazzara A; Ricci D; Spairani R; Zanchetta E; Luzzati A; Brunetti A; Parafioriti A; Sconfienza LM
    Eur J Radiol; 2020 Jul; 128():109043. PubMed ID: 32438261
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Machine learning-based radiomic evaluation of treatment response prediction in glioblastoma.
    Patel M; Zhan J; Natarajan K; Flintham R; Davies N; Sanghera P; Grist J; Duddalwar V; Peet A; Sawlani V
    Clin Radiol; 2021 Aug; 76(8):628.e17-628.e27. PubMed ID: 33941364
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Radiomic nomogram based on MRI to predict grade of branching type intraductal papillary mucinous neoplasms of the pancreas: a multicenter study.
    Cui S; Tang T; Su Q; Wang Y; Shu Z; Yang W; Gong X
    Cancer Imaging; 2021 Mar; 21(1):26. PubMed ID: 33750453
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Deep learning-based automatic segmentation of meningioma from multiparametric MRI for preoperative meningioma differentiation using radiomic features: a multicentre study.
    Chen H; Li S; Zhang Y; Liu L; Lv X; Yi Y; Ruan G; Ke C; Feng Y
    Eur Radiol; 2022 Oct; 32(10):7248-7259. PubMed ID: 35420299
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Differentiation of Pelvic Osteosarcoma and Ewing Sarcoma Using Radiomic Analysis Based on T2-Weighted Images and Contrast-Enhanced T1-Weighted Images.
    Dai Y; Yin P; Mao N; Sun C; Wu J; Cheng G; Hong N
    Biomed Res Int; 2020; 2020():9078603. PubMed ID: 32462033
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Parotid gland fat related Magnetic Resonance image biomarkers improve prediction of late radiation-induced xerostomia.
    van Dijk LV; Thor M; Steenbakkers RJHM; Apte A; Zhai TT; Borra R; Noordzij W; Estilo C; Lee N; Langendijk JA; Deasy JO; Sijtsema NM
    Radiother Oncol; 2018 Sep; 128(3):459-466. PubMed ID: 29958772
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Conventional magnetic resonance imaging-based radiomic signature predicts telomerase reverse transcriptase promoter mutation status in grade II and III gliomas.
    Jiang C; Kong Z; Zhang Y; Liu S; Liu Z; Chen W; Liu P; Liu D; Wang Y; Lyu Y; Zhao D; Wang Y; You H; Feng F; Ma W
    Neuroradiology; 2020 Jul; 62(7):803-813. PubMed ID: 32239241
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deep Network-Based Comprehensive Parotid Gland Tumor Detection.
    Sunnetci KM; Kaba E; Celiker FB; Alkan A
    Acad Radiol; 2024 Jan; 31(1):157-167. PubMed ID: 37271636
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.