Magnetic resonance imaging for diagnostics of lung diseases

The analysis of the literature data on perfusion computed tomography (PCT) in lung diseases is presented. The description of the research method, the method role in the differential diagnosis of the changes nature in the lungs based on the data of the PCT is given. The issues that require further research are being clarified. It was noted that a PCT can become a method of choice in cases when the computed tomography data do not provide the answer to the question about the nature of detected changes in the lung.

Perfusion computer tomography in clarifying the nature of pathological processes in the lung

Лагкуева¹,

Kotlyarov²,

Sergeev³

et al. 2020

Magnetic resonance imaging in the diagnosis of isolated asymptomatic lung cysticercosis (clinical observation)

Kotlyarov¹,

Egorova²,

Sergeev³

2020

A rare observation of the isolated asymptomatic cysticercosis of the lungs is presented, in the diagnosis of which the leading role was played by magnetic resonance imaging of the lungs (MRI), according to which the fluid character of focal changes with scolexes inside, low blood flow in the foci was clarified, and lung malignancy was excluded. According to the results of computed tomography, signs of calcification of the cysticercus capsules were recorded on the 7th year of dynamic monitoring, while the initial diagnosis was finally confirmed.

Diagnosis and differential diagnosis of focal lung formations

Lagkueva,

Chernichenko,

Kotlyarov

et al. 2024

Lung diseases are among the leading causes of death. Patients with malignant lung tumors often have terminal stage of the disease at the time of diagnosis because of long absence of clinical manifestations of the condition and late diagnosis. The aim of the work was to analyze literature devoted to the problems of identifying the nature of focal lung lesions and reliable assessment of the degree of tumor process. The authors also aimed to evaluate the importance of ongoing monitoring with radiology methods for clarification of the nature of focal changes in the lungs and for selection of methods with greater specificity regarding the nature of the process. Conclusion. Radiological methods are crucial in screening and detection of lung tumors, but ongoing monitoring is carried out in most cases to determine the nature of the changes. Further research on a comprehensive assessment of radiological diagnostic data using artificial intelligence (AI) in order to determine the nature of small lung lesions is relevant.