Reliability of quantitative computed tomography to predict postoperative lung function in patients with chronic obstructive pulmonary disease having a lobectomy

Journal of Computer Assisted Tomography

Volumn 29, Issue 6, 2005, Pages 819-824

  Sverzellati, Nicola ^a,c   Chetta, Alfredo ^a   Calabrò, Elisa ^a   Carbognani, Paolo ^b   Internullo, Eveline ^b   Olivieri, Dario ^a   Zompatori, Maurizio ^a  

^a UNIVERSITY OF PARMA   (Italy)

^b UNIVERSITY OF PARMA MEDICAL SCHOOL   (Italy)

^c Osp G Rasori   (Italy)

Author keywords

Chronic obstructive pulmonary disease; Predicted postoperative lung function; Pulmonary resection

Indexed keywords

COMPUTERIZED TOMOGRAPHY; PULMONARY DISEASES;

CHRONIC OBSTRUCTIVE PULMONARY DISEASE; FORCED EXPIRATORY VOLUME IN 1; LUNG CANCER; LUNG FUNCTION; MASK TECHNIQUES; MEASURED VALUES; PREDICTED POSTOPERATIVE LUNG FUNCTION; PULMONARY RESECTION; QUANTITATIVE COMPUTED TOMOGRAPHIES; SPECIFIC EQUATIONS;

BIOLOGICAL ORGANS;

ADULT; AGED; ARTICLE; CHRONIC OBSTRUCTIVE LUNG DISEASE; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; FEMALE; FORCED EXPIRATORY VOLUME; HUMAN; LOBECTOMY; LUNG FUNCTION; MALE; POSTOPERATIVE PERIOD; PREDICTION; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; VITAL CAPACITY;

EID: 28044465387     PISSN: 03638715     EISSN: None     Source Type: Journal    
DOI: 10.1097/01.rct.0000179595.09092.ee     Document Type: Article

References (21)

1. Nezu K, Kushibe K, Tojo T, et al. Recovery and limitation of exercise capacity after lung resection for lung cancer. Chest. 1998;113:1511-1516.
2. Kearney DJ, Lee TH, Reilly JJ, et al. Assessment of operative risk in patients undergoing lung resection. Importance of predicted pulmonary function. Chest. 1994;105:753-759.
3. Wang JS, Abbound RT, Evans KG, et al. Role of diffusing capacity during exercise in the preoperative evaluation for lung resection. Am J Respir Crit Care Med. 2000;162:1444-1453.
4. Ferguson MK, Little L, Rizzo L, et al. Diffusing capacity predicts morbidity and mortality after pulmonary resection. Thorac Cardiovasc Surg. 1988;96:894-900.
5. Nagamatsu Y, Shima I, Hayashi A, et al. Preoperative spirometry versus expired gas analysis during exercise testing as predictors of cardiopulmonary complications after lung resection. Surg Today. 2004;34:107-110.
6. Uramoto H, Nakanishi R, Fujino Y, et al. Prediction of pulmonary complications after a lobectomy in patients with non-small cell lung cancer. Thorax. 2001;56:59-61.
7. Quanjer PHH, Tammeling GJ, Cotes JE, et al. Lung volumes and forced ventilatory flows. Eur Respir J. 1993;6:5-40.
8. Wu MT, Pan HB, Chiang AA, et al. Prediction of postoperative lung function in patients with lung cancer: comparison of quantitative CT with perfusion scintigraphy. AJR Am J Roentgenol. 2002;178:667-672.
9. Bland JM, Altman DG. Statistical method for assessing agreement between two methods of clinical measurement. Lancet. 1986;1:307-310.
10. Sekine Y, Behnia M, Fujisawa T. Impact of COPD on pulmonary complications and on long-term survival of patients undergoing surgery for NSCLC. Lung Cancer. 2002;37:95-101.
11. Giordano A, Calcagni ML, Meduri G, et al. Perfusion lung scintigraphy for the prediction of postlobectomy residual pulmonary function. Chest. 1997;111:1542-1547.
12. Kuhnigk JM, Dicken V, Zidowitz S, et al. Informatics in radiology (infoRAD): new tools for computer assistance in thoracic CT. Part 1. Functional analysis of lungs, lung lobes, and bronchopulmonary segments. Radiographics. 2005;25:525-536.
13. Muller NL, Staples CA, Miller RR, et al. "Density Mask." An objective method to quantitate emphysema using computed tomography. Chest. 1988;94:782-787.
14. Rienmuller RK, Behr J, Kalender WA, et al. Standardized quantitative high resolution CT in lung diseases. J Comput Assist Tomogr. 1991;15:742-749.
15. Battista G, Sassi C, Zompatori M, et al. Ground-glass opacity: interpretation of high resolution CT findings. Radiol Med (Torino). 2003;106:425-444.
16. Kauczor HU, Heitmann K, Heussel CP, et al. Automatic detection and quantification of ground-glass opacities on high-resolution CT using multiple neural networks: comparison with a density mask. AJR Am J Roentgenol. 2000;175:1329-1334.
17. Beckles MA, Spiro SG, Colice GL, et al. The physiologic evaluation of patients with lung cancer being considered for resectional surgery. Chest. 2003;123(Suppl):105S-114S.
18. Haraguchi S, Koizumi K, Hatori N, et al. Prediction of the postoperative pulmonary function and complication rate in elderly patients. Surg Today. 2001;31:860-865.
19. Gass GD, Olsen GN. Preoperative pulmonary function testing to predict postoperative morbidity and mortality. Chest. 1986;89:127-135.
20. Olsen GN, Block AJ, Swenson EW, et al. Pulmonary function evaluation of the lung resection candidate: a prospective study. Am Rev Respir Dis. 1975;111:379-387.
21. Ohno Y, Hatabu H, Higashino T, et al. Dynamic perfusion MRI versus perfusion scintigraphy: prediction of postoperative lung function in patients with lung cancer. AJR Am J Roentgenol. 2004;182:73-78.