BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

597 related articles for article (PubMed ID: 29623375)

  • 1. Ability of FDG PET and CT radiomics features to differentiate between primary and metastatic lung lesions.
    Kirienko M; Cozzi L; Rossi A; Voulaz E; Antunovic L; Fogliata A; Chiti A; Sollini M
    Eur J Nucl Med Mol Imaging; 2018 Sep; 45(10):1649-1660. PubMed ID: 29623375
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Use of radiomics based on
    Zhou Y; Ma XL; Zhang T; Wang J; Zhang T; Tian R
    Eur J Nucl Med Mol Imaging; 2021 Aug; 48(9):2904-2913. PubMed ID: 33547553
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Using neighborhood gray tone difference matrix texture features on dual time point PET/CT images to differentiate malignant from benign FDG-avid solitary pulmonary nodules.
    Chen S; Harmon S; Perk T; Li X; Chen M; Li Y; Jeraj R
    Cancer Imaging; 2019 Aug; 19(1):56. PubMed ID: 31420006
    [TBL] [Abstract][Full Text] [Related]  

  • 4. CT radiomics analysis of lung cancers: Differentiation of squamous cell carcinoma from adenocarcinoma, a correlative study with FDG uptake.
    Tomori Y; Yamashiro T; Tomita H; Tsubakimoto M; Ishigami K; Atsumi E; Murayama S
    Eur J Radiol; 2020 Jul; 128():109032. PubMed ID: 32361604
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Machine learning based on clinico-biological features integrated
    Ren C; Zhang J; Qi M; Zhang J; Zhang Y; Song S; Sun Y; Cheng J
    Eur J Nucl Med Mol Imaging; 2021 May; 48(5):1538-1549. PubMed ID: 33057772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Potential feature exploration and model development based on 18F-FDG PET/CT images for differentiating benign and malignant lung lesions.
    Zhang R; Zhu L; Cai Z; Jiang W; Li J; Yang C; Yu C; Jiang B; Wang W; Xu W; Chai X; Zhang X; Tang Y
    Eur J Radiol; 2019 Dec; 121():108735. PubMed ID: 31733432
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Interchangeability of radiomic features between [18F]-FDG PET/CT and [18F]-FDG PET/MR.
    Vuong D; Tanadini-Lang S; Huellner MW; Veit-Haibach P; Unkelbach J; Andratschke N; Kraft J; Guckenberger M; Bogowicz M
    Med Phys; 2019 Apr; 46(4):1677-1685. PubMed ID: 30714158
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Intra-tumoural heterogeneity characterization through texture and colour analysis for differentiation of non-small cell lung carcinoma subtypes.
    Ma Y; Feng W; Wu Z; Liu M; Zhang F; Liang Z; Cui C; Huang J; Li X; Guo X
    Phys Med Biol; 2018 Aug; 63(16):165018. PubMed ID: 30051884
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Radiomics based on
    Ou X; Zhang J; Wang J; Pang F; Wang Y; Wei X; Ma X
    Cancer Med; 2020 Jan; 9(2):496-506. PubMed ID: 31769230
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Radiomics analysis for the differentiation of autoimmune pancreatitis and pancreatic ductal adenocarcinoma in
    Zhang Y; Cheng C; Liu Z; Wang L; Pan G; Sun G; Chang Y; Zuo C; Yang X
    Med Phys; 2019 Oct; 46(10):4520-4530. PubMed ID: 31348535
    [TBL] [Abstract][Full Text] [Related]  

  • 11. CT-based radiomics signature for differentiating solitary granulomatous nodules from solid lung adenocarcinoma.
    Yang X; He J; Wang J; Li W; Liu C; Gao D; Guan Y
    Lung Cancer; 2018 Nov; 125():109-114. PubMed ID: 30429007
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Pathologic stratification of operable lung adenocarcinoma using radiomics features extracted from dual energy CT images.
    Bae JM; Jeong JY; Lee HY; Sohn I; Kim HS; Son JY; Kwon OJ; Choi JY; Lee KS; Shim YM
    Oncotarget; 2017 Jan; 8(1):523-535. PubMed ID: 27880938
    [TBL] [Abstract][Full Text] [Related]  

  • 13. A Machine-Learning Approach Using PET-Based Radiomics to Predict the Histological Subtypes of Lung Cancer.
    Hyun SH; Ahn MS; Koh YW; Lee SJ
    Clin Nucl Med; 2019 Dec; 44(12):956-960. PubMed ID: 31689276
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Prediction of disease-free survival by the PET/CT radiomic signature in non-small cell lung cancer patients undergoing surgery.
    Kirienko M; Cozzi L; Antunovic L; Lozza L; Fogliata A; Voulaz E; Rossi A; Chiti A; Sollini M
    Eur J Nucl Med Mol Imaging; 2018 Feb; 45(2):207-217. PubMed ID: 28944403
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Using CT texture analysis to differentiate between peripheral lung cancer and pulmonary inflammatory pseudotumor.
    Liu C; Ma C; Duan J; Qiu Q; Guo Y; Zhang Z; Yin Y
    BMC Med Imaging; 2020 Jul; 20(1):75. PubMed ID: 32631330
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Application of 18F-FDG PET/CT imaging radiomics in the differential diagnosis of single-nodule pulmonary metastases and second primary lung cancer in patients with colorectal cancer.
    Yu Y; Zhu J; Sang S; Yang Y; Zhang B; Deng S
    J Cancer Res Ther; 2024 Apr; 20(2):599-607. PubMed ID: 38687930
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Robust, independent and relevant prognostic 18F-fluorodeoxyglucose positron emission tomography radiomics features in non-small cell lung cancer: Are there any?
    Konert T; Everitt S; La Fontaine MD; van de Kamer JB; MacManus MP; Vogel WV; Callahan J; Sonke JJ
    PLoS One; 2020; 15(2):e0228793. PubMed ID: 32097418
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Usefulness of gradient tree boosting for predicting histological subtype and EGFR mutation status of non-small cell lung cancer on
    Koyasu S; Nishio M; Isoda H; Nakamoto Y; Togashi K
    Ann Nucl Med; 2020 Jan; 34(1):49-57. PubMed ID: 31659591
    [TBL] [Abstract][Full Text] [Related]  

  • 19. An 18F-FDG-PET/CT-based radiomics signature for estimating malignance probability of solitary pulmonary nodule.
    Zheng J; Hao Y; Guo Y; Du M; Wang P; Xin J
    Clin Respir J; 2024 May; 18(5):e13751. PubMed ID: 38725315
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Radiomics analysis of pre-treatment [
    van Helden EJ; Vacher YJL; van Wieringen WN; van Velden FHP; Verheul HMW; Hoekstra OS; Boellaard R; Menke-van der Houven van Oordt CW
    Eur J Nucl Med Mol Imaging; 2018 Dec; 45(13):2307-2317. PubMed ID: 30094460
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 30.