BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

184 related articles for article (PubMed ID: 31752472)

  • 1. [Artificial intelligence evaluation of simulated phantom lung nodules with different pre-adaptive iteration techniques].
    Wen J; Kang WY; Lin M; Li L; Li TR; Zhong YH; Luo DH
    Zhonghua Yi Xue Za Zhi; 2019 Nov; 99(43):3424-3427. PubMed ID: 31752472
    [No Abstract]   [Full Text] [Related]  

  • 2. Clinical value of a new generation adaptive statistical iterative reconstruction (ASIR-V) in the diagnosis of pulmonary nodule in low-dose chest CT.
    Tang H; Liu Z; Hu Z; He T; Li D; Yu N; Jia Y; Shi H
    Br J Radiol; 2019 Nov; 92(1103):20180909. PubMed ID: 31469289
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Accuracy of two deep learning-based reconstruction methods compared with an adaptive statistical iterative reconstruction method for solid and ground-glass nodule volumetry on low-dose and ultra-low-dose chest computed tomography: A phantom study.
    Kim C; Kwack T; Kim W; Cha J; Yang Z; Yong HS
    PLoS One; 2022; 17(6):e0270122. PubMed ID: 35737734
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Volumetric quantification of lung nodules in CT with iterative reconstruction (ASiR and MBIR).
    Chen B; Barnhart H; Richard S; Robins M; Colsher J; Samei E
    Med Phys; 2013 Nov; 40(11):111902. PubMed ID: 24320435
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Ultra-low dose chest computed tomography: Effect of iterative reconstruction levels on image quality.
    Afadzi M; Lysvik EK; Andersen HK; Martinsen ACT
    Eur J Radiol; 2019 May; 114():62-68. PubMed ID: 31005179
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Ultralow-dose chest computed tomography for pulmonary nodule detection: first performance evaluation of single energy scanning with spectral shaping.
    Gordic S; Morsbach F; Schmidt B; Allmendinger T; Flohr T; Husarik D; Baumueller S; Raupach R; Stolzmann P; Leschka S; Frauenfelder T; Alkadhi H
    Invest Radiol; 2014 Jul; 49(7):465-73. PubMed ID: 24598443
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impact of dose reduction and iterative reconstruction algorithm on the detectability of pulmonary nodules by artificial intelligence.
    Schwyzer M; Messerli M; Eberhard M; Skawran S; Martini K; Frauenfelder T
    Diagn Interv Imaging; 2022 May; 103(5):273-280. PubMed ID: 34991993
    [TBL] [Abstract][Full Text] [Related]  

  • 8. A feasibility study of pulmonary nodule detection by ultralow-dose CT with adaptive statistical iterative reconstruction-V technique.
    Ye K; Zhu Q; Li M; Lu Y; Yuan H
    Eur J Radiol; 2019 Oct; 119():108652. PubMed ID: 31521879
    [TBL] [Abstract][Full Text] [Related]  

  • 9. [Combined use of wide-detector and adaptive statistical iterative reconstruction-V technique in abdominal CT with low radiation dose].
    Wang HX; Lü PJ; Yue SW; Chang LY; Li Y; Zhao HP; Li WR; Gao JB
    Zhonghua Yi Xue Za Zhi; 2017 Dec; 97(45):3567-3572. PubMed ID: 29275597
    [No Abstract]   [Full Text] [Related]  

  • 10. A phantom study using dual-energy spectral computed tomography imaging: Comparison of image quality between two adaptive statistical iterative reconstruction (ASiR, ASiR-V) algorithms for evaluating ground-glass nodules of the lung.
    Li J; Gao J; Wang G; Cui D; Deng K
    J Cancer Res Ther; 2021 Dec; 17(7):1742-1747. PubMed ID: 35381748
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Measurement accuracy of lung nodule volumetry in a phantom study: Effect of axial-volume scan and iterative reconstruction algorithm.
    Lee HN; Kim JI; Shin SY
    Medicine (Baltimore); 2020 Jun; 99(23):e20543. PubMed ID: 32502015
    [TBL] [Abstract][Full Text] [Related]  

  • 12. The influence of a deep learning image reconstruction algorithm on the image quality and auto-analysis of pulmonary nodules at ultra-low dose chest CT: a phantom study.
    Yao Y; Guo B; Li J; Yang Q; Li X; Deng L
    Quant Imaging Med Surg; 2022 May; 12(5):2777-2791. PubMed ID: 35502370
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Ultralow-dose CT with tin filtration for detection of solid and sub solid pulmonary nodules: a phantom study.
    Martini K; Higashigaito K; Barth BK; Baumueller S; Alkadhi H; Frauenfelder T
    Br J Radiol; 2015; 88(1056):20150389. PubMed ID: 26492317
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Pulmonary nodules with ground-glass opacity can be reliably measured with low-dose techniques regardless of iterative reconstruction: results of a phantom study.
    Siegelman JW; Supanich MP; Gavrielides MA
    AJR Am J Roentgenol; 2015 Jun; 204(6):1242-7. PubMed ID: 26001234
    [TBL] [Abstract][Full Text] [Related]  

  • 15. PULMONARY NODULE DETECTION IN CHEST CT USING A DEEP LEARNING-BASED RECONSTRUCTION ALGORITHM.
    Franck C; Snoeckx A; Spinhoven M; El Addouli H; Nicolay S; Van Hoyweghen A; Deak P; Zanca F
    Radiat Prot Dosimetry; 2021 Oct; 195(3-4):158-163. PubMed ID: 33723584
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Impact of preset and postset adaptive statistical iterative reconstruction-V on image quality in nonenhanced abdominal-pelvic CT on wide-detector revolution CT.
    Zhu Z; Zhao Y; Zhao X; Wang X; Yu W; Hu M; Zhang X; Zhou C
    Quant Imaging Med Surg; 2021 Jan; 11(1):264-275. PubMed ID: 33392027
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Impact of multidetector computed tomography scan parameters, novel reconstruction settings, and lung nodule characteristics on nodule diameter measurements: A phantom study.
    Au C; Reeves R; Li Z; Gingold E; Halpern E; Sundaram B
    Med Phys; 2022 Jun; 49(6):3936-3943. PubMed ID: 35358333
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Upgrade to iterative image reconstruction (IR) in MDCT imaging: a clinical study for detailed parameter optimization beyond vendor recommendations using the adaptive statistical iterative reconstruction environment (ASIR) Part2: The chest.
    Mueck FG; Michael L; Deak Z; Scherr MK; Maxien D; Geyer LL; Reiser M; Wirth S
    Rofo; 2013 Jul; 185(7):644-54. PubMed ID: 23696019
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Pulmonary nodules: effect of adaptive statistical iterative reconstruction (ASIR) technique on performance of a computer-aided detection (CAD) system-comparison of performance between different-dose CT scans.
    Yanagawa M; Honda O; Kikuyama A; Gyobu T; Sumikawa H; Koyama M; Tomiyama N
    Eur J Radiol; 2012 Oct; 81(10):2877-86. PubMed ID: 21982461
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Performance of ultralow-dose CT with iterative reconstruction in lung cancer screening: limiting radiation exposure to the equivalent of conventional chest X-ray imaging.
    Huber A; Landau J; Ebner L; Bütikofer Y; Leidolt L; Brela B; May M; Heverhagen J; Christe A
    Eur Radiol; 2016 Oct; 26(10):3643-52. PubMed ID: 26813670
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 10.