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Items: 1 to 20 of 81

1.

Observer accuracy in the detection of pulmonary nodules on CT: effect of cine frame rate.

Copley SJ, Bryant TH, Chambers AA, Harvey CJ, Hodson JM, Graham A, Lynch MJ, Paley MR, Partridge WJ, Rangi P, Schmitz S, Win Z, Todd JJ, Desai SR.

Clin Radiol. 2010 Feb;65(2):133-6. doi: 10.1016/j.crad.2009.05.016. Epub 2009 Nov 24.

PMID:
20103435
2.

Detection of pulmonary nodules with helical CT: comparison of cine and film-based viewing.

Tillich M, Kammerhuber F, Reittner P, Riepl T, Stoeffler G, Szolar DH.

AJR Am J Roentgenol. 1997 Dec;169(6):1611-4.

PMID:
9393175
3.

Computer-aided lung nodule detection in CT: results of large-scale observer test.

Brown MS, Goldin JG, Rogers S, Kim HJ, Suh RD, McNitt-Gray MF, Shah SK, Truong D, Brown K, Sayre JW, Gjertson DW, Batra P, Aberle DR.

Acad Radiol. 2005 Jun;12(6):681-6.

PMID:
15935966
4.

Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance.

Awai K, Murao K, Ozawa A, Komi M, Hayakawa H, Hori S, Nishimura Y.

Radiology. 2004 Feb;230(2):347-52.

PMID:
14752180
5.

Assessment of radiologist performance in the detection of lung nodules: dependence on the definition of "truth".

Armato SG 3rd, Roberts RY, Kocherginsky M, Aberle DR, Kazerooni EA, Macmahon H, van Beek EJ, Yankelevitz D, McLennan G, McNitt-Gray MF, Meyer CR, Reeves AP, Caligiuri P, Quint LE, Sundaram B, Croft BY, Clarke LP.

Acad Radiol. 2009 Jan;16(1):28-38. doi: 10.1016/j.acra.2008.05.022.

6.

Effect of CAD on radiologists' detection of lung nodules on thoracic CT scans: analysis of an observer performance study by nodule size.

Sahiner B, Chan HP, Hadjiiski LM, Cascade PN, Kazerooni EA, Chughtai AR, Poopat C, Song T, Frank L, Stojanovska J, Attili A.

Acad Radiol. 2009 Dec;16(12):1518-30. doi: 10.1016/j.acra.2009.08.006.

7.

Evaluation of computer-aided diagnosis (CAD) software for the detection of lung nodules on multidetector row computed tomography (MDCT): JAFROC study for the improvement in radiologists' diagnostic accuracy.

Hirose T, Nitta N, Shiraishi J, Nagatani Y, Takahashi M, Murata K.

Acad Radiol. 2008 Dec;15(12):1505-12. doi: 10.1016/j.acra.2008.06.009.

PMID:
19000867
8.

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. doi: 10.1097/RLI.0b013e318190fcfc.

PMID:
19034026
9.

Digital tomosynthesis for evaluating metastatic lung nodules: nodule visibility, learning curves, and reading times.

Lee KH, Goo JM, Lee SM, Park CM, Bahn YE, Kim H, Song YS, Hwang EJ.

Korean J Radiol. 2015 Mar-Apr;16(2):430-9. doi: 10.3348/kjr.2015.16.2.430. Epub 2015 Feb 27.

10.

[Computer-aided detection of lung nodules on thin collimation MDCT: impact on radiologists' performance].

Brochu B, Beigelman-Aubry C, Goldmard JL, Raffy P, Grenier PA, Lucidarme O.

J Radiol. 2007 Apr;88(4):573-8. French.

11.

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.

PMID:
17456878
12.

Differentiating between Subsolid and Solid Pulmonary Nodules at CT: Inter- and Intraobserver Agreement between Experienced Thoracic Radiologists.

Ridge CA, Yildirim A, Boiselle PM, Franquet T, Schaefer-Prokop CM, Tack D, Gevenois PA, Bankier AA.

Radiology. 2016 Mar;278(3):888-96. doi: 10.1148/radiol.2015150714. Epub 2015 Oct 9.

PMID:
26458208
13.

Lung nodule detection on chest CT: evaluation of a computer-aided detection (CAD) system.

Lee IJ, Gamsu G, Czum J, Wu N, Johnson R, Chakrapani S.

Korean J Radiol. 2005 Apr-Jun;6(2):89-93.

14.

Pulmonary nodules: estimation of malignancy at thin-section helical CT--effect of computer-aided diagnosis on performance of radiologists.

Awai K, Murao K, Ozawa A, Nakayama Y, Nakaura T, Liu D, Kawanaka K, Funama Y, Morishita S, Yamashita Y.

Radiology. 2006 Apr;239(1):276-84. Epub 2006 Feb 7.

PMID:
16467210
15.

Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT.

Gruden JF, Ouanounou S, Tigges S, Norris SD, Klausner TS.

AJR Am J Roentgenol. 2002 Jul;179(1):149-57.

PMID:
12076925
16.

Computer-aided detection (CAD) in lung cancer screening at chest MDCT: ROC analysis of CAD versus radiologist performance.

Fraioli F, Bertoletti L, Napoli A, Pediconi F, Calabrese FA, Masciangelo R, Catalano C, Passariello R.

J Thorac Imaging. 2007 Aug;22(3):241-6.

PMID:
17721333
17.

Detection of pulmonary nodules by multislice computed tomography: improved detection rate with reduced slice thickness.

Fischbach F, Knollmann F, Griesshaber V, Freund T, Akkol E, Felix R.

Eur Radiol. 2003 Oct;13(10):2378-83. Epub 2003 May 13.

PMID:
12743736
18.

Computer-aided diagnosis of lung nodules on CT scans: ROC study of its effect on radiologists' performance.

Way T, Chan HP, Hadjiiski L, Sahiner B, Chughtai A, Song TK, Poopat C, Stojanovska J, Frank L, Attili A, Bogot N, Cascade PN, Kazerooni EA.

Acad Radiol. 2010 Mar;17(3):323-32. doi: 10.1016/j.acra.2009.10.016.

20.

Lung nodule computer-aided detection as a second reader: influence on radiology residents.

Teague SD, Trilikis G, Dharaiya E.

J Comput Assist Tomogr. 2010 Jan;34(1):35-9. doi: 10.1097/RCT.0b013e3181b2e866.

PMID:
20118718

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