Quality Initiatives Respiratory Instructions for CT Examinations of the Lungs: A Hands-on Guide

References

• 1 BoisellePM, Lee KS, Ernst A. Multidetector CT of the central airways. J Thorac Imaging2005;20: 186–195.
  Medline Google Scholar
• 2 HansellDM. Small airways diseases: detection and insights with computed tomography. Eur Respir J2001;17:1294–1313.
  Medline Google Scholar
• 3 Beigelman-AubryC, Capderou A, Grenier PA, et al. Mild intermittent asthma: CT assessment of bronchial cross-sectional area and lung attenuation at controlled lung volume. Radiology2002;223: 181–187.
  Google Scholar
• 4 MadaniA, Zanen J, de Maertelaer V, Gevenois PA. Pulmonary emphysema: objective quantification at multi–detector row CT—comparison with macroscopic and microscopic morphometry. Radiology2006;238:1036–1043.
  Google Scholar
• 5 StoelBC, Bakker ME, Stolk J, et al. Comparison of the sensitivities of 5 different computed tomography scanners for the assessment of the progression of pulmonary emphysema: a phantom study. Invest Radiol2004;39:1–7.
  Medline Google Scholar
• 6 StolkJ, Putter H, Bakker EM, et al. Progression parameters for emphysema: a clinical investigation. Respir Med2007;101:1924–1930.
  Medline Google Scholar
• 7 PetrouM, Quint LE, Nan B, Baker LH. Pulmonary nodule volumetric measurement variability as a function of CT slice thickness and nodule morphology. AJR Am J Roentgenol2007;188: 306–312.
  Medline Google Scholar
• 8 GooJM, Tongdee T, Tongdee R, Yeo K, Hildebolt CF, Bae KT. Volumetric measurement of synthetic lung nodules with multi–detector row CT: effect of various image reconstruction parameters and segmentation thresholds on measurement accuracy. Radiology2005;235:850–856.
  Google Scholar
• 9 PetkovskaI, Brown MS, Goldin JG, et al. The effect of lung volume on nodule size on CT. Acad Radiol2007;14:476–485.
  Medline Google Scholar
• 10 GotwayMB, Reddy GP, Webb WR, Elicker BM, Leung JW. High-resolution CT of the lung: patterns of disease and differential diagnoses. Radiol Clin North Am2005;43:513–542.
  Medline Google Scholar
• 11 GriffinCB, Primack SL. High-resolution CT: normal anatomy, techniques, and pitfalls. Radiol Clin North Am2001;39:1073–1090.
  Medline Google Scholar
• 12 MayoJR. High resolution computed tomography: technical aspects. Radiol Clin North Am1991;29: 1043–1049.
  Medline Google Scholar
• 13 MayoJR. The high-resolution computed tomography technique. Semin Roentgenol1991;26: 104–109.
  Medline Google Scholar
• 14 MayoJR, Webb WR, Gould R, et al. High-resolution CT of the lungs: an optimal approach. Radiology1987;163:507–510.
  Google Scholar
• 15 BrownRA, Blonshine SB. External factors affecting test results. In: Spirometry quality: the essentials. Old Town, Maine: Health Educator Publications, 1996; 63–81.
  Google Scholar
• 16 CrapoRO. Spirometry: quality control and reproducibility criteria. Am Rev Respir Dis1991;143: 1212–1213.
  Medline Google Scholar
• 17 EnrightPL, Johnson LR, Connett JE, Voelker H, Buist AS. Spirometry in the Lung Health Study. I. Methods and quality control. Am Rev Respir Dis1991;143:1215–1223.
  Medline Google Scholar
• 18 LewisBM. Pitfalls of spirometry. J Occup Med1981;23:35–38.
  Medline Google Scholar
• 19 MillerMR, Hankinson J, Brusasco V, et al. Standardisation of spirometry. Eur Respir J2005;26: 319–338.
  Medline Google Scholar
• 20 PellegrinoR, Decramer M, van Schayck CP, et al. Quality control of spirometry: a lesson from the BRONCUS trial. Eur Respir J2005;26: 1104–1109.
  Medline Google Scholar
• 21 SpencerD. Spirometry: quality control and reproducibility criteria. Am Rev Respir Dis1992;145: 236.
  Google Scholar
• 22 PiirilaP, Sovijarvi AR. Objective assessment of cough. Eur Respir J1995;8:1949–1956.
  Medline Google Scholar
• 23 BankierAA, Fleischmann D, Dantendorfer K, et al. Automatic patient-instruction devices in thin-section CT of the thorax: impact on image quality. Radiology1995;196:841–844.
  Medline Google Scholar