Medical Reserch and Education ›› 2014, Vol. 31 ›› Issue (3): 47-50.DOI: 10.3969/j.issn.1674-490X.2014.03.013
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LIU Qixue1,LU Jinghua2
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Abstract: Objective To investigate the diagnostic mothods and key-point of hamartoma of lung. Methods 8 gamartoma of lung cases form Dec. 2008 to Dec. 2012 of our hospital were enrolled in this retrospective study, and the X-ray and CT image dates were analysed. Results All of the cases were peripheral, 6 cases (75%) were at pulmo dexter, anyd 2 cases (25%) were at pulmo sinister. The hamartomaic diameter were 1-7 cm, and the average was 3.0 cm. The tumor morphology were round or oval, 3 cases`(37.5%) contours were clear and edges were smooth, 5 cases`(62.5%) contours were shallow lobulated and edges were sharp. 6 cases (75%) were homogeneous in density, and 2 cases (25%) density were unhomogeneous. 1 of the cases exhibited the“popcorn”calciifcation, 1 of the cases exhibited the punctiform calciifcation. CT pathology morphology:2 cases`tumor morphology were round or oval, contours were clear and edges were smooth, 6 cases`contours were lobulated, there was no satellite opacities, the accumulation of blood vessels and pleural indentation in the whole cases.5 cases were homogeneous in density, and 3 cases density were unhomogeneous. 1 of the cases exhibited the“popcorn”calciifcation, 1 of the cases exhibited the punctiform and cords calciifcation, and partly low density liparoid. CT evaluation of enhanced:3 cases`reinforcement value<10 HU, 4 cases`reinforcement value were between 10-20 HU, and 1 case reinforcement value >40 HU. Conclusion CT pathology morphology has a signiifcant meaning in the identiifcation of pulmonary hamartoma, especially the evaluation of the lipids parts, when the lipids island appears in the nidus, and the CT result represent the low density liparoid, thus can be regard as a speciifc signal of pulmonary hamartoma.
Key words: pulmonary hamartoma, imaging diagnosis, CT scan, enhanced scan
CLC Number:
R445
LIU Qixue,LU Jinghua. Analysis of 8 cases with pulmonary hamartoma in imaging diagnoses[J]. Medical Reserch and Education, 2014, 31(3): 47-50.
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