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Initial application of digital tomosynthesis for detection of pulmonary nodules / 中华放射学杂志
Chinese Journal of Radiology ; (12): 33-36, 2010.
Article in Chinese | WPRIM (Western Pacific) | ID: wpr-391415
Responsible library: WPRO
ABSTRACT
Objective To discuss the value of digital tomosynthesis for detection of pulmonary nodules. Methods Thirty patients suspected of having pulmonary nodules underwent chest radiography, digital tomosynthesis and CT examination. Above image data were transferred to postprocessing work station and were reviewed by 2 radiologists with 3 years of chest-radiology diagnosis experience in a double-blind method. The number, location and size of nodules were recorded. Then, 2 radiologists reviewed the all images once more, and discuss in consensus. The sensitivities of chest radiography and digital tomosynthesis for detection of pulmonary nodules were respectively calculated according to the CT results. Chi-square test was used for radiography, digital tomosynthesis and CT examination. Results Of 30 patients, 21 were detected having pulmonary nodules by X-ray radiography and 9 were negative, the total number of 40 nodules was detected, while 89 nodules in 26 patients were detected by digital tomosynthesis, and only 4 patients were negative. CT demonstrated 102 nodules in 27 patients, and 3 patients were negative. Taking CT as "gold standard", the sensitivities of X-ray radiography and digital tomosynthesis were 27.4%(28/102)and 87.2%(89/102), X~2=4.35, P<0.05, respectively. Conclusion Digital tomosynthesis has a high sensitivity for detection of pulmonary nodules compared with X-ray radiography, and could be an excellent and necessary supplementary technique of X-ray radiography.

Full text: Available Database: WPRIM (Western Pacific) Type of study: Controlled clinical trial / Diagnostic study Language: Chinese Journal: Chinese Journal of Radiology Year: 2010 Document type: Article
Full text: Available Database: WPRIM (Western Pacific) Type of study: Controlled clinical trial / Diagnostic study Language: Chinese Journal: Chinese Journal of Radiology Year: 2010 Document type: Article
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