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Items: 1 to 20 of 154

1.
2.

Detection of nodules showing ground-glass opacity in the lungs at low-dose multidetector computed tomography: phantom and clinical study.

Funama Y, Awai K, Liu D, Oda S, Yanaga Y, Nakaura T, Kawanaka K, Shimamura M, Yamashita Y.

J Comput Assist Tomogr. 2009 Jan-Feb;33(1):49-53. doi: 10.1097/RCT.0b013e31815e6291.

PMID:
19188784
3.

Comparison of chest radiography, chest digital tomosynthesis and low dose MDCT to detect small ground-glass opacity nodules: an anthropomorphic chest phantom study.

Doo KW, Kang EY, Yong HS, Ham SY, Lee KY, Choo JY.

Eur Radiol. 2014 Dec;24(12):3269-76. doi: 10.1007/s00330-014-3376-6. Epub 2014 Aug 6.

PMID:
25097138
4.

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. doi: 10.2214/AJR.14.12921.

PMID:
25794062
5.

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.

6.

Comparison of digital tomosynthesis and computed tomography for lung nodule detection in SOS screening program.

Grosso M, Priotto R, Ghirardo D, Talenti A, Roberto E, Bertolaccini L, Terzi A, Chauvie S; SOS Study Group.

Radiol Med. 2017 Aug;122(8):568-574. doi: 10.1007/s11547-017-0765-3. Epub 2017 Apr 20.

PMID:
28429205
7.

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. doi: 10.2214/AJR.14.13820.

PMID:
26001234
8.

Comparison of flat-panel-detector-based CT and multidetector-row CT in automated volumetry of pulmonary nodules using an anthropomorphic chest phantom.

Marten K, Dullin C, Machann W, Schmid JS, DAS M, Hermann KP, Engelke C.

Br J Radiol. 2009 Aug;82(981):716-23. doi: 10.1259/bjr/40733553. Epub 2009 Mar 30.

PMID:
19332516
9.

Computer-aided volumetry of pulmonary nodules exhibiting ground-glass opacity at MDCT.

Oda S, Awai K, Murao K, Ozawa A, Yanaga Y, Kawanaka K, Yamashita Y.

AJR Am J Roentgenol. 2010 Feb;194(2):398-406. doi: 10.2214/AJR.09.2583.

PMID:
20093602
10.

Sensitivity of Thoracic Digital Tomosynthesis (DTS) for the Identification of Lung Nodules.

Langer SG, Graner BD, Schueler BA, Fetterly KA, Kofler JM, Mandrekar JN, Bartholmai BJ.

J Digit Imaging. 2016 Feb;29(1):141-7. doi: 10.1007/s10278-015-9818-0.

11.

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. doi: 10.2214/AJR.15.15588. Epub 2016 Jun 1.

PMID:
27249174
12.

A phantom study investigating the relationship between ground-glass opacity visibility and physical detectability index in low-dose chest computed tomography.

Ichikawa K, Kobayashi T, Sagawa M, Katagiri A, Uno Y, Nishioka R, Matsuyama J.

J Appl Clin Med Phys. 2015 Jul 8;16(4):202–215. doi: 10.1120/jacmp.v16i4.5001.

PMID:
26218991
13.

Inter- and intrascanner variability of pulmonary nodule volumetry on low-dose 64-row CT: an anthropomorphic phantom study.

Xie X, Willemink MJ, Zhao Y, de Jong PA, van Ooijen PM, Oudkerk M, Greuter MJ, Vliegenthart R.

Br J Radiol. 2013 Sep;86(1029):20130160. doi: 10.1259/bjr.20130160. Epub 2013 Jul 24.

14.

Sensitivity and accuracy of volumetry of pulmonary nodules on low-dose 16- and 64-row multi-detector CT: an anthropomorphic phantom study.

Xie X, Zhao Y, Snijder RA, van Ooijen PM, de Jong PA, Oudkerk M, de Bock GH, Vliegenthart R, Greuter MJ.

Eur Radiol. 2013 Jan;23(1):139-47. doi: 10.1007/s00330-012-2570-7. Epub 2012 Jul 14.

15.

A phantom study for ground-glass nodule detectability using chest digital tomosynthesis with iterative reconstruction algorithm by ten observers: association with radiation dose and nodular characteristics.

Miyata K, Nagatani Y, Ikeda M, Takahashi M, Nitta N, Matsuo S, Ohta S, Otani H, Nitta-Seko A, Murakami Y, Tsuchiya K, Inoue A, Misaki S, Erdenee K, Kida T, Murata K.

Br J Radiol. 2017 Mar;90(1071):20160555. doi: 10.1259/bjr.20160555. Epub 2017 Feb 17.

PMID:
28102693
16.

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
17.

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.

18.

Comparison of low dose and standard dose MDCT in detection of metastatic pulmonary nodules.

Muangman N, Maitreesorrasan N, Totanarungroj K.

J Med Assoc Thai. 2011 Feb;94(2):215-23.

PMID:
21534369
19.

The advantage of digital tomosynthesis for pulmonary nodule detection concerning influence of nodule location and size: a phantom study.

Kim EY, Bista AB, Kim T, Park SY, Park KJ, Kang DK, Sun JS.

Clin Radiol. 2017 Sep;72(9):796.e1-796.e8. doi: 10.1016/j.crad.2017.03.022. Epub 2017 Apr 25.

PMID:
28454640
20.

Small irregular pulmonary nodules in low-dose CT: observer detection sensitivity and volumetry accuracy.

Xie X, Willemink MJ, de Jong PA, van Ooijen PM, Oudkerk M, Vliegenthart R, Greuter MJ.

AJR Am J Roentgenol. 2014 Mar;202(3):W202-9. doi: 10.2214/AJR.13.10830.

PMID:
24555615

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