329 related articles for article (PubMed ID: 27249174)
1. Maximum-Intensity-Projection and Computer-Aided-Detection Algorithms as Stand-Alone Reader Devices in Lung Cancer Screening Using Different Dose Levels and Reconstruction Kernels.
Ebner L; Roos JE; Christensen JD; Dobrocky T; Leidolt L; Brela B; Obmann VC; Joy S; Huber A; Christe A
AJR Am J Roentgenol; 2016 Aug; 207(2):282-8. PubMed ID: 27249174
[TBL] [Abstract][Full Text] [Related]
2. Lung nodule detection by microdose CT versus chest radiography (standard and dual-energy subtracted).
Ebner L; Bütikofer Y; Ott D; Huber A; Landau J; Roos JE; Heverhagen JT; Christe A
AJR Am J Roentgenol; 2015 Apr; 204(4):727-35. PubMed ID: 25794062
[TBL] [Abstract][Full Text] [Related]
3. Lung cancer screening with CT: evaluation of radiologists and different computer assisted detection software (CAD) as first and second readers for lung nodule detection at different dose levels.
Christe A; Leidolt L; Huber A; Steiger P; Szucs-Farkas Z; Roos JE; Heverhagen JT; Ebner L
Eur J Radiol; 2013 Dec; 82(12):e873-8. PubMed ID: 24074648
[TBL] [Abstract][Full Text] [Related]
4. 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]
5. Computer-aided detection (CAD) of solid pulmonary nodules in chest x-ray equivalent ultralow dose chest CT - first in-vivo results at dose levels of 0.13mSv.
Messerli M; Kluckert T; Knitel M; Rengier F; Warschkow R; Alkadhi H; Leschka S; Wildermuth S; Bauer RW
Eur J Radiol; 2016 Dec; 85(12):2217-2224. PubMed ID: 27842670
[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. Efficacy of computer-aided detection system and thin-slab maximum intensity projection technique in the detection of pulmonary nodules in patients with resected metastases.
Park EA; Goo JM; Lee JW; Kang CH; Lee HJ; Lee CH; Park CM; Lee HY; Im JG
Invest Radiol; 2009 Feb; 44(2):105-13. PubMed ID: 19034026
[TBL] [Abstract][Full Text] [Related]
8. Benefit of computer-aided detection analysis for the detection of subsolid and solid lung nodules on thin- and thick-section CT.
Godoy MC; Kim TJ; White CS; Bogoni L; de Groot P; Florin C; Obuchowski N; Babb JS; Salganicoff M; Naidich DP; Anand V; Park S; Vlahos I; Ko JP
AJR Am J Roentgenol; 2013 Jan; 200(1):74-83. PubMed ID: 23255744
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. 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]
11. Detection of noncalcified pulmonary nodules on low-dose MDCT: comparison of the sensitivity of two CAD systems by using a double reference standard.
Larici AR; Amato M; Ordóñez P; Maggi F; Menchini L; Caulo A; Calandriello L; Vallati G; Giunta S; Crecco M; Bonomo L
Radiol Med; 2012 Sep; 117(6):953-67. PubMed ID: 22327922
[TBL] [Abstract][Full Text] [Related]
12. Effect of slab thickness on the CT detection of pulmonary nodules: use of sliding thin-slab maximum intensity projection and volume rendering.
Kawel N; Seifert B; Luetolf M; Boehm T
AJR Am J Roentgenol; 2009 May; 192(5):1324-9. PubMed ID: 19380557
[TBL] [Abstract][Full Text] [Related]
13. Impact of deep learning image reconstruction on volumetric accuracy and image quality of pulmonary nodules with different morphologies in low-dose CT.
D'hondt L; Franck C; Kellens PJ; Zanca F; Buytaert D; Van Hoyweghen A; Addouli HE; Carpentier K; Niekel M; Spinhoven M; Bacher K; Snoeckx A
Cancer Imaging; 2024 May; 24(1):60. PubMed ID: 38720391
[TBL] [Abstract][Full Text] [Related]
14. Pulmonary nodules: sensitivity of maximum intensity projection versus that of volume rendering of 3D multidetector CT data.
Peloschek P; Sailer J; Weber M; Herold CJ; Prokop M; Schaefer-Prokop C
Radiology; 2007 May; 243(2):561-9. PubMed ID: 17456878
[TBL] [Abstract][Full Text] [Related]
15. Effect of reconstruction algorithm on image quality and identification of ground-glass opacities and partly solid nodules on low-dose thin-section CT: experimental study using chest phantom.
Koyama H; Ohno Y; Kono AA; Kusaka A; Konishi M; Yoshii M; Sugimura K
Eur J Radiol; 2010 Jun; 74(3):500-7. PubMed ID: 19362441
[TBL] [Abstract][Full Text] [Related]
16. 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]
17. 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]
18. Influence of radiation dose and iterative reconstruction algorithms for measurement accuracy and reproducibility of pulmonary nodule volumetry: A phantom study.
Kim H; Park CM; Song YS; Lee SM; Goo JM
Eur J Radiol; 2014 May; 83(5):848-57. PubMed ID: 24572380
[TBL] [Abstract][Full Text] [Related]
19. 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]
20. Effect of radiation dose and iterative reconstruction on lung lesion conspicuity at MDCT: does one size fit all?
Botelho MP; Agrawal R; Gonzalez-Guindalini FD; Hart EM; Patel SK; Töre HG; Yaghmai V
Eur J Radiol; 2013 Nov; 82(11):e726-33. PubMed ID: 23928232
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
