Multispiral computed tomography post-processing for refining diagnosis of diffuse lung diseases
https://doi.org/10.18093/0869-0189-2017-27-4-472-477
Abstract
The aim of this study was to investigate ability of multispiral computed tomography (MSCT) post-processing techniques in diagnosis and differentiation of diffuse lung diseases (DLD).
Methods. MSCT data of 261 patients with DLD were analyzed using 16- to 320-slice computer tomographs.
Results. The lung tissue lesions were significantly extended in 151 patients (57.85%). DLD signs and symptoms were newly found in in 8 to 15% of the patients after MSCT post-processing only. MIP and MinIP post-processing algorithms improved the lung macrostructure visualization due to higher spatial resolution, allowed to distinguish vascular and nodular structures and to differentiate ground glass opacity and mosaic perfusion patterns in all the patients.
Conclusion. Native MSCT post-processing is useful for initial diagnosis of DLD in 8 to 15% of patients, for determination the prevalence of pathological changes in 58%, and for better detection of the lesions in 100% of patients.
About the Author
P. M. Kotlyarov
Russian Scientific Center of Rentgenoradiology (RSCRR), Healthcare Ministry of Russia
Russian Federation
Russian Federation
Doctor of Medicine, Professor, the Head of Scientific Research Department of New Technologies and semiotics of radiation diagnosis of organs and systems diseases,
ul. Profsoyuznaya 86, Moscow
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Review
For citations:
Kotlyarov P.M. Multispiral computed tomography post-processing for refining diagnosis of diffuse lung diseases. PULMONOLOGIYA. 2017;27(4):472-477. (In Russ.) https://doi.org/10.18093/0869-0189-2017-27-4-472-477
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