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Items: 1 to 20 of 91

1.

Pediatric chest CT radiation dose reduction: protocol refinement based on noise injection for pulmonary nodule detection accuracy.

Chapman T, Swanson JO, Phillips GS, Parisi MT, Alessio AM.

Clin Imaging. 2013 Mar-Apr;37(2):334-41. doi: 10.1016/j.clinimag.2012.04.021.

PMID:
23465988
2.

Pediatric MDCT: towards assessing the diagnostic influence of dose reduction on the detection of small lung nodules.

Li X, Samei E, DeLong DM, Jones RP, Gaca AM, Hollingsworth CL, Maxfield CM, Colsher JG, Frush DP.

Acad Radiol. 2009 Jul;16(7):872-80. doi: 10.1016/j.acra.2009.01.028.

PMID:
19394875
3.

Spine Computed Tomography Radiation Dose Reduction: Protocol Refinement Based on Measurement Variation at Simulated Lower Radiation Acquisitions.

Swanson JO, Alessio AM, White KK, Krengel WF, Friedman SD, Vining NC, Song KM.

Spine (Phila Pa 1976). 2015 Oct 15;40(20):1613-9. doi: 10.1097/BRS.0000000000001097.

PMID:
26731706
4.

Radiation dose reduction with hybrid iterative reconstruction for pediatric CT.

Singh S, Kalra MK, Shenoy-Bhangle AS, Saini A, Gervais DA, Westra SJ, Thrall JH.

Radiology. 2012 May;263(2):537-46. doi: 10.1148/radiol.12110268.

PMID:
22517962
5.

Lung nodule detection in pediatric chest CT: quantitative relationship between image quality and radiologist performance.

Li X, Samei E, Barnhart HX, Gaca AM, Hollingsworth CL, Maxfield CM, Carrico CW, Colsher JG, Frush DP.

Med Phys. 2011 May;38(5):2609-18.

PMID:
21776798
6.
7.

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
8.

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
9.

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.

PMID:
24074648
10.

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
11.

Computed tomography of the chest with model-based iterative reconstruction using a radiation exposure similar to chest X-ray examination: preliminary observations.

Neroladaki A, Botsikas D, Boudabbous S, Becker CD, Montet X.

Eur Radiol. 2013 Feb;23(2):360-6. doi: 10.1007/s00330-012-2627-7.

PMID:
22892722
12.

Investigation of lung nodule detectability in low-dose 320-slice computed tomography.

Silverman JD, Paul NS, Siewerdsen JH.

Med Phys. 2009 May;36(5):1700-10.

13.

Radiation Dose Reduction in Pediatric Body CT Using Iterative Reconstruction and a Novel Image-Based Denoising Method.

Yu L, Fletcher JG, Shiung M, Thomas KB, Matsumoto JM, Zingula SN, McCollough CH.

AJR Am J Roentgenol. 2015 Nov;205(5):1026-37. doi: 10.2214/AJR.14.14185.

14.

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
15.

Do characteristics of pulmonary nodules on computed tomography in children with known osteosarcoma help distinguish whether the nodules are malignant or benign?

Brader P, Abramson SJ, Price AP, Ishill NM, Zabor EC, Moskowitz CS, La Quaglia MP, Ginsberg MS.

J Pediatr Surg. 2011 Apr;46(4):729-35. doi: 10.1016/j.jpedsurg.2010.11.027. Erratum in: J Pediatr Surg. 2011 Aug;46(8):1685. Emily, Zabor C [corrected to Zabor, Emily C].

16.

Evaluation of pulmonary metastases in children by non-contrast chest computed tomography.

Iemsawatdikul K, Wonglaksanapimon S, Mingkwansook V, Lornimitdee W.

J Med Assoc Thai. 2013 Mar;96(3):334-9.

PMID:
23539938
17.

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. doi: 10.1016/j.ejrad.2014.01.025.

PMID:
24572380
18.

Motion artifact on high-resolution CT images of pediatric patients: comparison of volumetric and axial CT methods.

Bastos Md, Lee EY, Strauss KJ, Zurakowski D, Tracy DA, Boiselle PM.

AJR Am J Roentgenol. 2009 Nov;193(5):1414-8. doi: 10.2214/AJR.09.2843.

PMID:
19843761
19.

Model-based iterative reconstruction: effect on patient radiation dose and image quality in pediatric body CT.

Smith EA, Dillman JR, Goodsitt MM, Christodoulou EG, Keshavarzi N, Strouse PJ.

Radiology. 2014 Feb;270(2):526-34. doi: 10.1148/radiol.13130362.

20.

A retrospective study of chest tomosynthesis as a tool for optimizing the use of computed tomography resources and reducing patient radiation exposure.

Johnsson ÅA, Vikgren J, Båth M.

Acad Radiol. 2014 Nov;21(11):1427-33. doi: 10.1016/j.acra.2014.06.002.

PMID:
25097012
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