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Items: 1 to 20 of 122

1.

CT patterns of fungal pulmonary infections of the lung: comparison of standard-dose and simulated low-dose CT.

Christe A, Lin MC, Yen AC, Hallett RL, Roychoudhury K, Schmitzberger F, Fleischmann D, Leung AN, Rubin GD, Vock P, Roos JE.

Eur J Radiol. 2012 Oct;81(10):2860-6. doi: 10.1016/j.ejrad.2011.06.059. Epub 2011 Aug 10. Erratum in: Eur J Radiol. 2013 Nov;82(11):2067. Rubin, Geoffry D [corrected to Rubin, Geoffrey D].

PMID:
21835569
2.

Accuracy of low-dose computed tomography (CT) for detecting and characterizing the most common CT-patterns of pulmonary disease.

Christe A, Charimo-Torrente J, Roychoudhury K, Vock P, Roos JE.

Eur J Radiol. 2013 Mar;82(3):e142-50. doi: 10.1016/j.ejrad.2012.09.025. Epub 2012 Nov 2.

PMID:
23122673
3.

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. doi: 10.1097/RLI.0000000000000037.

PMID:
24598443
4.

Lung nodule detection performance in five observers on computed tomography (CT) with adaptive iterative dose reduction using three-dimensional processing (AIDR 3D) in a Japanese multicenter study: Comparison between ultra-low-dose CT and low-dose CT by receiver-operating characteristic analysis.

Nagatani Y, Takahashi M, Murata K, Ikeda M, Yamashiro T, Miyara T, Koyama H, Koyama M, Sato Y, Moriya H, Noma S, Tomiyama N, Ohno Y, Murayama S; investigators of ACTIve study group..

Eur J Radiol. 2015 Jul;84(7):1401-12. doi: 10.1016/j.ejrad.2015.03.012. Epub 2015 Apr 2.

5.

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. doi: 10.1016/j.ejrad.2011.09.011. Epub 2011 Oct 5.

PMID:
21982461
6.

Optimal dose levels in screening chest CT for unimpaired detection and volumetry of lung nodules, with and without computer assisted detection at minimal patient radiation.

Christe A, Szucs-Farkas Z, Huber A, Steiger P, Leidolt L, Roos JE, Heverhagen J, Ebner L.

PLoS One. 2013 Dec 26;8(12):e82919. doi: 10.1371/journal.pone.0082919. eCollection 2013.

7.

CT screening and follow-up of lung nodules: effects of tube current-time setting and nodule size and density on detectability and of tube current-time setting on apparent size.

Christe A, Torrente JC, Lin M, Yen A, Hallett R, Roychoudhury K, Schmitzberger F, Vock P, Roos J.

AJR Am J Roentgenol. 2011 Sep;197(3):623-30. doi: 10.2214/AJR.10.5288.

PMID:
21862804
8.

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. doi: 10.1016/j.ejrad.2015.11.036. Epub 2015 Dec 3.

PMID:
26781141
9.

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. doi: 10.1016/j.ejrad.2009.03.013. Epub 2009 Apr 10.

PMID:
19362441
10.

Solid, part-solid, or non-solid?: classification of pulmonary nodules in low-dose chest computed tomography by a computer-aided diagnosis system.

Jacobs C, van Rikxoort EM, Scholten ET, de Jong PA, Prokop M, Schaefer-Prokop C, van Ginneken B.

Invest Radiol. 2015 Mar;50(3):168-73. doi: 10.1097/RLI.0000000000000121.

PMID:
25478740
11.

CT of the chest: minimal tube current required for good image quality with the least radiation dose.

Mayo JR, Hartman TE, Lee KS, Primack SL, Vedal S, Müller NL.

AJR Am J Roentgenol. 1995 Mar;164(3):603-7.

PMID:
7863879
12.

Impact of image quality, radiologists, lung segments, and Gunnar eyewear on detectability of lung nodules in chest CT.

Christe A, Ebner L, Steiger P, Parikh SR, Shah AD, Roychoudhury K, Vock P, Roos JE.

Acta Radiol. 2013 Jul;54(6):646-51. doi: 10.1177/0284185113483677. Epub 2013 Apr 30.

PMID:
23612429
13.

The effect of radiation dose reduction on computer-aided detection (CAD) performance in a low-dose lung cancer screening population.

Young S, Lo P, Kim G, Brown M, Hoffman J, Hsu W, Wahi-Anwar W, Flores C, Lee G, Noo F, Goldin J, McNitt-Gray M.

Med Phys. 2017 Apr;44(4):1337-1346. doi: 10.1002/mp.12128. Epub 2017 Mar 14.

PMID:
28122122
14.

Role of compressive sensing technique in dose reduction for chest computed tomography: a prospective blinded clinical study.

Khawaja RD, Singh S, Lira D, Bippus R, Do S, Padole A, Pourjabbar S, Koehler T, Shepard JA, Kalra MK.

J Comput Assist Tomogr. 2014 Sep-Oct;38(5):760-7. doi: 10.1097/RCT.0000000000000098.

PMID:
24834892
15.

Accuracy of lung nodule volumetry in low-dose CT with iterative reconstruction: an anthropomorphic thoracic phantom study.

Doo KW, Kang EY, Yong HS, Woo OH, Lee KY, Oh YW.

Br J Radiol. 2014 Sep;87(1041):20130644. doi: 10.1259/bjr.20130644. Epub 2014 Jul 16.

16.

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. doi: 10.1016/j.ejrad.2013.08.026. Epub 2013 Sep 25.

PMID:
24074648
17.

Thoracoabdominal-aortoiliac multidetector-row CT angiography at 80 and 100 kVp: assessment of image quality and radiation dose.

Schindera ST, Graca P, Patak MA, Abderhalden S, von Allmen G, Vock P, Szucs-Farkas Z.

Invest Radiol. 2009 Oct;44(10):650-5. doi: 10.1097/RLI.0b013e3181acaf8a.

PMID:
19724236
18.

Model-based iterative reconstruction technique for ultralow-dose chest CT: comparison of pulmonary nodule detectability with the adaptive statistical iterative reconstruction technique.

Katsura M, Matsuda I, Akahane M, Yasaka K, Hanaoka S, Akai H, Sato J, Kunimatsu A, Ohtomo K.

Invest Radiol. 2013 Apr;48(4):206-12. doi: 10.1097/RLI.0b013e31827efc3a.

PMID:
23344517
19.

Radiation dose reduction in soft tissue neck CT using adaptive statistical iterative reconstruction (ASIR).

Vachha B, Brodoefel H, Wilcox C, Hackney DB, Moonis G.

Eur J Radiol. 2013 Dec;82(12):2222-6. doi: 10.1016/j.ejrad.2013.08.014. Epub 2013 Aug 23.

PMID:
24016832
20.

Detection of pulmonary emboli with CT angiography at reduced radiation exposure and contrast material volume: comparison of 80 kVp and 120 kVp protocols in a matched cohort.

Szucs-Farkas Z, Schaller C, Bensler S, Patak MA, Vock P, Schindera ST.

Invest Radiol. 2009 Dec;44(12):793-9. doi: 10.1097/RLI.0b013e3181bfe230.

PMID:
19884825

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