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.


Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

274 related articles for article (PubMed ID: 34991993)

  • 1. 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]  

  • 2. 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]  

  • 3. Detectability of Lung Nodules in Ultra-low Dose CT.
    Janssen S; Overhoff D; Froelich MF; Schoenberg SO; Rathmann N
    Anticancer Res; 2021 Oct; 41(10):5053-5058. PubMed ID: 34593454
    [TBL] [Abstract][Full Text] [Related]  

  • 4. 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]  

  • 5. Ultra-low-dose CT lung screening with artificial intelligence iterative reconstruction: evaluation via automatic nodule-detection software.
    Yang L; Liu H; Han J; Xu S; Zhang G; Wang Q; Du Y; Yang F; Zhao X; Shi G
    Clin Radiol; 2023 Jul; 78(7):525-531. PubMed ID: 36948944
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prospective intra-individual comparison of standard dose versus reduced-dose thoracic CT using hybrid and pure iterative reconstruction in a follow-up cohort of pulmonary nodules-Effect of detectability of pulmonary nodules with lowering dose based on nodule size, type and body mass index.
    Vardhanabhuti V; Pang CL; Tenant S; Taylor J; Hyde C; Roobottom C
    Eur J Radiol; 2017 Jun; 91():130-141. PubMed ID: 28629559
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Impact of an artificial intelligence deep-learning reconstruction algorithm for CT on image quality and potential dose reduction: A phantom study.
    Greffier J; Si-Mohamed S; Frandon J; Loisy M; de Oliveira F; Beregi JP; Dabli D
    Med Phys; 2022 Aug; 49(8):5052-5063. PubMed ID: 35696272
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Computer-aided detection of artificial pulmonary nodules using an ex vivo lung phantom: influence of exposure parameters and iterative reconstruction.
    Wielpütz MO; Wroblewski J; Lederlin M; Dinkel J; Eichinger M; Koenigkam-Santos M; Biederer J; Kauczor HU; Puderbach MU; Jobst BJ
    Eur J Radiol; 2015 May; 84(5):1005-11. PubMed ID: 25740701
    [TBL] [Abstract][Full Text] [Related]  

  • 10. 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]  

  • 11. Dose-Optimized Computed Tomography for Screening and Follow-Up of Solid Pulmonary Nodules in Obesity: A Phantom Study.
    Martini K; Barth BK; Higashigaito K; Baumueller S; Alkadhi H; Frauenfelder T
    Curr Probl Diagn Radiol; 2017; 46(3):204-209. PubMed ID: 27662771
    [TBL] [Abstract][Full Text] [Related]  

  • 12. 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]  

  • 13. 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]  

  • 14. Comparison of computer-aided detection (CADe) capability for pulmonary nodules among standard-, reduced- and ultra-low-dose CTs with and without hybrid type iterative reconstruction technique.
    Ohno Y; Aoyagi K; Chen Q; Sugihara N; Iwasawa T; Okada F; Aoki T
    Eur J Radiol; 2018 Mar; 100():49-57. PubMed ID: 29496079
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Systematic error in lung nodule volumetry: effect of iterative reconstruction versus filtered back projection at different CT parameters.
    Willemink MJ; Leiner T; Budde RP; de Kort FP; Vliegenthart R; van Ooijen PM; Oudkerk M; de Jong PA
    AJR Am J Roentgenol; 2012 Dec; 199(6):1241-6. PubMed ID: 23169714
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Effects of Iterative Reconstruction Algorithms on Computer-assisted Detection (CAD) Software for Lung Nodules in Ultra-low-dose CT for Lung Cancer Screening.
    Nomura Y; Higaki T; Fujita M; Miki S; Awaya Y; Nakanishi T; Yoshikawa T; Hayashi N; Awai K
    Acad Radiol; 2017 Feb; 24(2):124-130. PubMed ID: 27986507
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Evaluation of pulmonary nodules and infection on chest CT with radiation dose equivalent to chest radiography: Prospective intra-individual comparison study to standard dose CT.
    Martini K; Barth BK; Nguyen-Kim TD; Baumueller S; Alkadhi H; Frauenfelder T
    Eur J Radiol; 2016 Feb; 85(2):360-5. PubMed ID: 26781141
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Iterative Reconstruction in Dose Reduction of A Head CT Examination and Corresponding Acquisition Parameter Selection.
    Raslau FD; Escott EJ; Elbelasi H; Adams C; Smiley J; Zhang J
    Radiol Technol; 2022; 93(5):462-472. PubMed ID: 35508407
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Detection of pulmonary nodules with scoutless fixed-dose ultra-low-dose CT: a prospective study.
    Gheysens G; De Wever W; Cockmartin L; Bosmans H; Coudyzer W; De Vuysere S; Lefere M
    Eur Radiol; 2022 Jul; 32(7):4437-4445. PubMed ID: 35238969
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Effect of radiation dose reduction and iterative reconstruction on computer-aided detection of pulmonary nodules: Intra-individual comparison.
    Den Harder AM; Willemink MJ; van Hamersvelt RW; Vonken EJ; Milles J; Schilham AM; Lammers JW; de Jong PA; Leiner T; Budde RP
    Eur J Radiol; 2016 Feb; 85(2):346-51. PubMed ID: 26781139
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 14.