These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

767 related articles for article (PubMed ID: 31420006)

  • 1. 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]  

  • 2. Limited diagnostic value of Dual-Time-Point (18)F-FDG PET/CT imaging for classifying solitary pulmonary nodules in granuloma-endemic regions both at visual and quantitative analyses.
    Chen S; Li X; Chen M; Yin Y; Li N; Li Y
    Eur J Radiol; 2016 Oct; 85(10):1744-1749. PubMed ID: 27666611
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Diagnostic classification of solitary pulmonary nodules using dual time
    Chen S; Harmon S; Perk T; Li X; Chen M; Li Y; Jeraj R
    Sci Rep; 2017 Aug; 7(1):9370. PubMed ID: 28839156
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Contribution of nonattenuation-corrected images on FDG-PET/CT in the assessment of solitary pulmonary nodules.
    Şahin E; Kara A; Elboğa U
    Radiol Med; 2016 Dec; 121(12):944-949. PubMed ID: 27567614
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The clinical value of texture analysis of dual-time-point
    Nakajo M; Jinguji M; Aoki M; Tani A; Sato M; Yoshiura T
    Eur Radiol; 2020 Mar; 30(3):1759-1769. PubMed ID: 31728684
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Combination of positron emission tomography/computed tomography and chest thin-layer high-resolution computed tomography for evaluation of pulmonary nodules: Correlation with imaging features, maximum standardized uptake value, and pathology.
    Hou S; Lin X; Wang S; Shen Y; Meng Z; Jia Q; Tan J
    Medicine (Baltimore); 2018 Aug; 97(31):e11640. PubMed ID: 30075545
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Accuracy of early and delayed FDG PET-CT and of contrast-enhanced CT in the evaluation of lung nodules: a preliminary study on 30 patients.
    Schillaci O; Travascio L; Bolacchi F; Calabria F; Bruni C; Cicciò C; Guazzaroni M; Orlacchio A; Simonetti G
    Radiol Med; 2009 Sep; 114(6):890-906. PubMed ID: 19579015
    [TBL] [Abstract][Full Text] [Related]  

  • 8. The Multicenter Italian Trial Assesses the Performance of FDG-PET /CT Related to Pre-Test Cancer Risk in Patients with Solitary Pulmonary Nodules and Introduces a Segmental Thoracic Diagnostic Strategy.
    Spadafora M; Evangelista L; Fiordoro S; Porcaro F; Sicignano M; Mansi L
    Curr Radiopharm; 2020; 13(3):243-248. PubMed ID: 32186274
    [TBL] [Abstract][Full Text] [Related]  

  • 9. 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]  

  • 10. The diagnostic role of dual-phase (18)F-FDG PET/CT in the characterization of solitary pulmonary nodules.
    Demir Y; Polack BD; Karaman C; Ozdoğan O; Sürücü E; Ayhan S; Akkoçlu A; Ozdemir N
    Nucl Med Commun; 2014 Mar; 35(3):260-7. PubMed ID: 24468852
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Can dynamic imaging, using
    Marin A; Murchison JT; Skwarski KM; Tavares AAS; Fletcher A; Wallace WA; Salapura V; van Beek EJR; Mirsadraee S
    Radiol Oncol; 2021 May; 55(3):259-267. PubMed ID: 34051709
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Amide proton transfer-weighted imaging to differentiate malignant from benign pulmonary lesions: Comparison with diffusion-weighted imaging and FDG-PET/CT.
    Ohno Y; Kishida Y; Seki S; Yui M; Miyazaki M; Koyama H; Yoshikawa T
    J Magn Reson Imaging; 2018 Apr; 47(4):1013-1021. PubMed ID: 28799280
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Dual time-point FDG PET-CT for differentiating benign from malignant solitary pulmonary nodules in a TB endemic area.
    Sathekge MM; Maes A; Pottel H; Stoltz A; van de Wiele C
    S Afr Med J; 2010 Sep; 100(9):598-601. PubMed ID: 20822650
    [TBL] [Abstract][Full Text] [Related]  

  • 14.
    Taralli S; Scolozzi V; Foti M; Ricciardi S; Forcione AR; Cardillo G; Calcagni ML
    Eur J Nucl Med Mol Imaging; 2019 Feb; 46(2):429-436. PubMed ID: 30535767
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Characterization of the solitary pulmonary nodule: 18F-FDG PET versus nodule-enhancement CT.
    Christensen JA; Nathan MA; Mullan BP; Hartman TE; Swensen SJ; Lowe VJ
    AJR Am J Roentgenol; 2006 Nov; 187(5):1361-7. PubMed ID: 17056930
    [TBL] [Abstract][Full Text] [Related]  

  • 16. The value of 18F-FDG PET/CT in the diagnosis of different size of solitary pulmonary nodules.
    Tang K; Wang L; Lin J; Zheng X; Wu Y
    Medicine (Baltimore); 2019 Mar; 98(11):e14813. PubMed ID: 30882661
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Predictive value of dual-time
    Pahk K; Chung JH; Kim S; Lee SH
    Tumori; 2018 Jun; 104(3):207-212. PubMed ID: 29714664
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Is
    Lee SH; Sung C; Lee HS; Yoon HY; Kim SJ; Oh JS; Song JW; Kim MY; Ryu JS
    Ann Nucl Med; 2018 Aug; 32(7):492-498. PubMed ID: 29974372
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Characterization of pulmonary lesions with low F-18 FDG uptake using double phase F-18 FDG PET/CT: comparison of visual and quantitative analyses.
    Kim IJ; Kim SJ; Kim YS; Lee TH; Jeong YJ
    Neoplasma; 2009; 56(1):33-9. PubMed ID: 19152243
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Diagnostic performance of PET/CT in differentiation of malignant and benign non-solid solitary pulmonary nodules.
    Tsushima Y; Tateishi U; Uno H; Takeuchi M; Terauchi T; Goya T; Kim EE
    Ann Nucl Med; 2008 Aug; 22(7):571-7. PubMed ID: 18756359
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 39.