Literature DB >> 9356631

Solitary pulmonary nodules: evaluation of blood flow patterns with dynamic CT.

M Zhang1, M Kono.   

Abstract

PURPOSE: To evaluate the efficacy of dynamic computed tomography (CT) for differentiating benign from malignant solitary pulmonary nodules (SPNs).
MATERIALS AND METHODS: Sixty-five patients with noncalcified SPNs (diameter, < or = 30 mm; 42 malignant, 16 benign, seven inflammatory) underwent single-location dynamic contrast material-enhanced (100 mL, 4 mL/sec) serial CT. Peak height of time-attenuation curves and ratio of peak height of the SPN to that of the aorta were measured. Precontrast attenuation and enhancement pattern were recorded. Perfusion was calculated from the maximum gradient of the time-attenuation curve and the peak height of the aorta.
RESULTS: Peak heights of malignant (41.9 HU +/- 2.8) and inflammatory (43.6 HU +/- 7.7) SPNs were significantly higher than that (13.4 HU +/- 2.2) of benign SPNs (P < .001; P < .01). SPN-to-aorta ratios in malignant and inflammatory SPNs were significantly higher than that in benign SPNs (P < .001, P < .05). No statistically significant differences in the peak height and SPN-to-aorta ratio were found between malignant and inflammatory SPNs. Precontrast attenuation of inflammatory SPNs was lower than that of malignant SPNs (P < .05). Perfusion values in malignant and inflammatory SPNs were significantly higher than that of the benign SPNs (P < .01).
CONCLUSION: Dynamic CT provides quantitative information about blood flow patterns of SPNs and is an applicable diagnostic method for differentiating SPNs.

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Year:  1997        PMID: 9356631     DOI: 10.1148/radiology.205.2.9356631

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  57 in total

1.  Characterization of solitary pulmonary nodules: Use of washout characteristics at contrast-enhanced computed tomography.

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2.  First-pass perfusion imaging of solitary pulmonary nodules with 64-detector row CT: comparison of perfusion parameters of malignant and benign lesions.

Authors:  Y Li; Z-G Yang; T-W Chen; J-Q Yu; J-Y Sun; H-J Chen
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3.  Dynamic contrast-enhanced CT in suspected lung cancer: quantitative results.

Authors:  S W Harders; H H Madsen; H M Nellemann; T R Rasmussen; J Thygesen; H Hager; N T Andersen; F Rasmussen
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Review 4.  Identifying lung cancer in patients with active pulmonary tuberculosis.

Authors:  Cassandra S Parker; Carrie G Siracuse; Virginia R Litle
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5.  Detection of lung cancer by sensor array analyses of exhaled breath.

Authors:  Roberto F Machado; Daniel Laskowski; Olivia Deffenderfer; Timothy Burch; Shuo Zheng; Peter J Mazzone; Tarek Mekhail; Constance Jennings; James K Stoller; Jacqueline Pyle; Jennifer Duncan; Raed A Dweik; Serpil C Erzurum
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Review 6.  The pulmonary nodule: clinical and radiological characteristics affecting a diagnosis of malignancy.

Authors:  L Cardinale; F Ardissone; S Novello; M Busso; F Solitro; M Longo; D Sardo; M Giors; C Fava
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7.  Solitary pulmonary nodules and masses: a meta-analysis of the diagnostic utility of alternative imaging tests.

Authors:  Paul Cronin; Ben A Dwamena; Aine Marie Kelly; Steven J Bernstein; Ruth C Carlos
Journal:  Eur Radiol       Date:  2008-07-08       Impact factor: 5.315

8.  The use of perfusion CT for the evaluation of therapy combining AZD2171 with gefitinib in cancer patients.

Authors:  Martijn R Meijerink; Hester van Cruijsen; Klaas Hoekman; Matthijs Kater; Cors van Schaik; Jan Hein T M van Waesberghe; Giuseppe Giaccone; Radu A Manoliu
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9.  Advanced gastric cancer and perfusion imaging using a multidetector row computed tomography: correlation with prognostic determinants.

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Journal:  Korean J Radiol       Date:  2008 Mar-Apr       Impact factor: 3.500

Review 10.  CT perfusion in oncology: how to do it.

Authors:  G Petralia; L Bonello; S Viotti; L Preda; G d'Andrea; M Bellomi
Journal:  Cancer Imaging       Date:  2010-02-11       Impact factor: 3.909

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