BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

161 related articles for article (PubMed ID: 30896542)

  • 1. Identification of Nonaggressive Pulmonary Nodules Using an Optimized Scoring System.
    Stephens MJ; Rho BH; Curran-Everett D; Carr L; Bowler R; Lynch D
    J Thorac Imaging; 2019 May; 34(3):170-178. PubMed ID: 30896542
    [TBL] [Abstract][Full Text] [Related]  

  • 2. [Multivariate Analysis of Solid Pulmonary Nodules Smaller than 1 cm in 
Distinguishing Lung Cancer from Intrapulmonary Lymph Nodes].
    Tang J; Liu C; Wang P; Cui Y
    Zhongguo Fei Ai Za Zhi; 2021 Feb; 24(2):94-98. PubMed ID: 33508896
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Strategies for Reducing False-Positive Screening Results for Intermediate-Size Nodules Evaluated Using Lung-RADS: A Secondary Analysis of National Lung Screening Trial Data.
    Hammer MM; Hunsaker AR
    AJR Am J Roentgenol; 2022 Sep; 219(3):397-405. PubMed ID: 35319912
    [No Abstract]   [Full Text] [Related]  

  • 4. [A Preliminary Study to Evaluate the Efficacy and Safety of A Optimized Computed Tomography-guided Pulmonary Nodule Microcoil Localization Technique].
    Li F; Chen Y; Bian J; Xin X; Wu X
    Zhongguo Fei Ai Za Zhi; 2019 Jun; 22(6):349-354. PubMed ID: 31196368
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Malignancy risk estimation of screen-detected nodules at baseline CT: comparison of the PanCan model, Lung-RADS and NCCN guidelines.
    van Riel SJ; Ciompi F; Jacobs C; Winkler Wille MM; Scholten ET; Naqibullah M; Lam S; Prokop M; Schaefer-Prokop C; van Ginneken B
    Eur Radiol; 2017 Oct; 27(10):4019-4029. PubMed ID: 28293773
    [TBL] [Abstract][Full Text] [Related]  

  • 6. The impact of reconstruction techniques on observer performance for the detection and characterization of small pulmonary nodules in chest CT of children under 13 years.
    Verhagen MV; Smets AMJB; van Schuppen J; Deurloo EE; Schaefer-Prokop C
    Eur J Radiol; 2018 Mar; 100():142-146. PubMed ID: 29496073
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Downstream Costs Associated with Incidental Pulmonary Nodules Detected on CT.
    Rosenkrantz AB; Xue X; Gyftopoulos S; Kim DC; Nicola GN
    Acad Radiol; 2019 Jun; 26(6):798-802. PubMed ID: 30093215
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Intrapulmonary lymph nodes: thin-section CT features of 19 nodules.
    Oshiro Y; Kusumoto M; Moriyama N; Kaneko M; Suzuki K; Asamura H; Kondo H; Tsuchiya R; Murayama S
    J Comput Assist Tomogr; 2002; 26(4):553-7. PubMed ID: 12218819
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Perinodular Vascularity Distinguishes Benign Intrapulmonary Lymph Nodes From Lung Cancer on Computed Tomography.
    Barnett J; Pulzato I; Wilson R; Padley S; Nicholson AG; Devaraj A
    J Thorac Imaging; 2019 Sep; 34(5):326-328. PubMed ID: 30664064
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Clinical and pathological characteristics of surgically resected intrapulmonary lymph nodes: Can they be differentiated from other malignant nodules?
    Kawaguchi T; Sawabata N; Nakai T; Miura S; Kawai N; Yasukawa M; Tojo T; Ohbayashi C; Taniguchi S
    Respir Investig; 2018 Nov; 56(6):473-479. PubMed ID: 30361051
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Intrapulmonary lymph nodes.
    Kinoshita A; Nakano M; Suyama N; Inoue K; Nakata T; Fujimoto S; Shigematsu K; Oka M; Hara K
    Intern Med; 1994 Nov; 33(11):727-9. PubMed ID: 7849392
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Autoantibody Signature Enhances the Positive Predictive Power of Computed Tomography and Nodule-Based Risk Models for Detection of Lung Cancer.
    Massion PP; Healey GF; Peek LJ; Fredericks L; Sewell HF; Murray A; Robertson JF
    J Thorac Oncol; 2017 Mar; 12(3):578-584. PubMed ID: 27615397
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Prevalence of pathologically proven intrapulmonary lymph nodes and their appearance on CT.
    Bankoff MS; McEniff NJ; Bhadelia RA; Garcia-Moliner M; Daly BD
    AJR Am J Roentgenol; 1996 Sep; 167(3):629-30. PubMed ID: 8751667
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Imaging Features and Clinical Decision Analysis of 110 Cases of Intrapulmonary Lymph Nodes.
    Liu Z; Du M; Li X; Ju S; Gao Y
    Thorac Cardiovasc Surg; 2020 Oct; 68(7):652-658. PubMed ID: 31877566
    [TBL] [Abstract][Full Text] [Related]  

  • 15. [Three cases of small intrapulmonary lymph nodes coincidental with primary lung cancer].
    Ohyama S; Murayama T; Bando K; Hasegawa Y; Taniguchi M; Nakata M; Ueda T
    Nihon Kokyuki Gakkai Zasshi; 2001 Jun; 39(6):434-7. PubMed ID: 11530394
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Incidentally detected small pulmonary nodules on CT.
    Edey AJ; Hansell DM
    Clin Radiol; 2009 Sep; 64(9):872-84. PubMed ID: 19664477
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Small low-risk pulmonary nodules on chest digital radiography: can we predict whether the nodule is benign?
    Missrie I; Hochhegger B; Zanon M; Capobianco J; César de Macedo Neto A; Maciel RP; Antunes VB; de Figueiredo CM; Szarf G; Meirelles G
    Clin Radiol; 2018 Oct; 73(10):902-906. PubMed ID: 29980325
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Four cases of subpleural intrapulmonary lymph node].
    Taniguchi Y; Nakamura H; Ito N; Suzuki Y; Furutani M; Tanaka Y; Ishiguro K; Mori T
    Kyobu Geka; 1997 Mar; 50(3):214-7. PubMed ID: 9121026
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Combining serum miRNAs, CEA, and CYFRA21-1 with imaging and clinical features to distinguish benign and malignant pulmonary nodules: a pilot study : Xianfeng Li et al.: Combining biomarker, imaging, and clinical features to distinguish pulmonary nodules.
    Li X; Zhang Q; Jin X; Cao L
    World J Surg Oncol; 2017 May; 15(1):107. PubMed ID: 28545454
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Thin-section CT features of intrapulmonary lymph nodes.
    Matsuki M; Noma S; Kuroda Y; Oida K; Shindo T; Kobashi Y
    J Comput Assist Tomogr; 2001; 25(5):753-6. PubMed ID: 11584236
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 9.