BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

163 related articles for article (PubMed ID: 34079706)

  • 21. Adaptive statistical iterative reconstruction (ASIR) affects CT radiomics quantification in primary colorectal cancer.
    Prezzi D; Owczarczyk K; Bassett P; Siddique M; Breen DJ; Cook GJR; Goh V
    Eur Radiol; 2019 Oct; 29(10):5227-5235. PubMed ID: 30887205
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Image quality assessment of ultra low-dose chest CT using sinogram-affirmed iterative reconstruction.
    Lee SW; Kim Y; Shim SS; Lee JK; Lee SJ; Ryu YJ; Chang JH
    Eur Radiol; 2014 Apr; 24(4):817-26. PubMed ID: 24442444
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Combination of Deep Learning-Based Denoising and Iterative Reconstruction for Ultra-Low-Dose CT of the Chest: Image Quality and Lung-RADS Evaluation.
    Hata A; Yanagawa M; Yoshida Y; Miyata T; Tsubamoto M; Honda O; Tomiyama N
    AJR Am J Roentgenol; 2020 Dec; 215(6):1321-1328. PubMed ID: 33052702
    [No Abstract]   [Full Text] [Related]  

  • 24. Ultra-low dose computed tomography protocols using spectral shaping for lung cancer screening: Comparison with low-dose for volumetric LungRADS classification.
    Milanese G; Ledda RE; Sabia F; Ruggirello M; Sestini S; Silva M; Sverzellati N; Marchianò AV; Pastorino U
    Eur J Radiol; 2023 Apr; 161():110760. PubMed ID: 36878153
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Influence of Adaptive Statistical Iterative Reconstructions on CT Radiomic Features in Oncologic Patients.
    Caruso D; Zerunian M; Pucciarelli F; Bracci B; Polici M; D'Arrigo B; Polidori T; Guido G; Barbato L; Polverari D; Benvenga A; Iannicelli E; Laghi A
    Diagnostics (Basel); 2021 May; 11(6):. PubMed ID: 34072633
    [TBL] [Abstract][Full Text] [Related]  

  • 26. 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]  

  • 27. 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]  

  • 28. Influence of CT acquisition and reconstruction parameters on radiomic feature reproducibility.
    Midya A; Chakraborty J; Gönen M; Do RKG; Simpson AL
    J Med Imaging (Bellingham); 2018 Jan; 5(1):011020. PubMed ID: 29487877
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Validation of Deep-Learning Image Reconstruction for Low-Dose Chest Computed Tomography Scan: Emphasis on Image Quality and Noise.
    Kim JH; Yoon HJ; Lee E; Kim I; Cha YK; Bak SH
    Korean J Radiol; 2021 Jan; 22(1):131-138. PubMed ID: 32729277
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Prediction of invasive adenocarcinomas manifesting as pure ground-glass nodules based on radiomic signature of low-dose CT in lung cancer screening.
    Li Y; Liu J; Yang X; Xu H; Qing H; Ren J; Zhou P
    Br J Radiol; 2022 May; 95(1133):20211048. PubMed ID: 34995082
    [TBL] [Abstract][Full Text] [Related]  

  • 31. The adaptive statistical iterative reconstruction-V technique for radiation dose reduction in abdominal CT: comparison with the adaptive statistical iterative reconstruction technique.
    Kwon H; Cho J; Oh J; Kim D; Cho J; Kim S; Lee S; Lee J
    Br J Radiol; 2015 Oct; 88(1054):20150463. PubMed ID: 26234823
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Detection and size quantification of pulmonary nodules in ultralow-dose versus regular-dose CT: a comparative study in COPD patients.
    Han D; Cai J; Heus A; Heuvelmans M; Imkamp K; Dorrius M; Pelgrim GJ; de Jonge G; Oudkerk M; van den Berge M; Vliegenthart R
    Br J Radiol; 2023 Mar; 96(1144):20220709. PubMed ID: 36728829
    [TBL] [Abstract][Full Text] [Related]  

  • 33. 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]  

  • 34. Low-dose CT with adaptive statistical iterative reconstruction for evaluation of urinary stone.
    Li X; Shu H; Zhang Y; Li X; Song J; Du J; Qian Y; Liu B; Yu Y
    Oncotarget; 2018 Apr; 9(28):20103-20111. PubMed ID: 29732006
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Reproducibility of lung nodule radiomic features: Multivariable and univariable investigations that account for interactions between CT acquisition and reconstruction parameters.
    Emaminejad N; Wahi-Anwar MW; Kim GHJ; Hsu W; Brown M; McNitt-Gray M
    Med Phys; 2021 Jun; 48(6):2906-2919. PubMed ID: 33706419
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Computed Tomography Image Quality Evaluation of a New Iterative Reconstruction Algorithm in the Abdomen (Adaptive Statistical Iterative Reconstruction-V) a Comparison With Model-Based Iterative Reconstruction, Adaptive Statistical Iterative Reconstruction, and Filtered Back Projection Reconstructions.
    Goodenberger MH; Wagner-Bartak NA; Gupta S; Liu X; Yap RQ; Sun J; Tamm EP; Jensen CT
    J Comput Assist Tomogr; 2018; 42(2):184-190. PubMed ID: 28806318
    [TBL] [Abstract][Full Text] [Related]  

  • 37. The Detection of Focal Liver Lesions Using Abdominal CT: A Comparison of Image Quality Between Adaptive Statistical Iterative Reconstruction V and Adaptive Statistical Iterative Reconstruction.
    Lee S; Kwon H; Cho J
    Acad Radiol; 2016 Dec; 23(12):1532-1538. PubMed ID: 27745816
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Value of ultra-low-dose chest CT with iterative reconstruction for selected emergency room patients with acute dyspnea.
    Macri F; Greffier J; Pereira F; Rosa AC; Khasanova E; Claret PG; Larbi A; Gualdi G; Beregi JP
    Eur J Radiol; 2016 Sep; 85(9):1637-44. PubMed ID: 27501900
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Comparison of ultra-low dose chest CT scanning protocols for the detection of pulmonary nodules: a phantom study.
    Milanese G; Silva M; Frauenfelder T; Eberhard M; Sabia F; Martini C; Marchianò A; Prokop M; Sverzellati N; Pastorino U
    Tumori; 2019 Oct; 105(5):394-403. PubMed ID: 31041885
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Ultra-low-dose CT combined with noise reduction techniques for quantification of emphysema in COPD patients: An intra-individual comparison study with standard-dose CT.
    Wisselink HJ; Pelgrim GJ; Rook M; Imkamp K; van Ooijen PMA; van den Berge M; de Bock GH; Vliegenthart R
    Eur J Radiol; 2021 May; 138():109646. PubMed ID: 33721769
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 9.