The article analyzes the data obtained as a result of the use of imaging methods in 35 patients with a new coronavirus infection who were treated in the infectious diseases department of the Surgut Regional Clinical Hospital. In the course of treatment in this group of patients, the appearance of symptoms of acute pancreatitis was noted. The criteria for inclusion in the study, in addition to the presence of a coronavirus infection confirmed by PCR, were a laboratory-detected increase in blood amylase and lipase. In the infectious diseases hospital, patients underwent perfusion computed tomography (PCT) when the first symptoms of acute pancreatitis appeared. Subsequently, in accordance with national recommendations, the entire group of patients underwent multislice computed tomography (MSCT) with bolus intravenous contrast on days 3–5. As a result of the complex of imaging research methods, 40 % (14 patients out of 35) showed a decrease in perfusion parameters characterizing the development of ischemic lesions of the pancreatic parenchyma. Later, in 11.4 % (in 4 patients out of 14), this was confirmed by MSCT with bolus intravenous contrast enhancement and was expressed as the formation of a site of destruction of the pancreatic parenchyma. In 60 % of cases (35 in 21 patients), there was no decrease in perfusion parameters during PCT, which was also later confirmed by contrast-enhanced computed tomography. Thus, we can conclude that perfusion computed tomography can play the role of an effective predictor of the development of necrotic changes in the pancreatic parenchyma in patients with acute pancreatitis that developed against the background of a new coronavirus infection.

The clinic and computer tomographic imaging of lung pathology in COVID-19 comorbidity, tuberculosis and opportunistic diseases in patients with stage IV of HIV infection, in the phase of progression, in the absence of ART in 29 patients compared with similar 29 patients, but without COVID-19 were studied. It was found that the comorbidity of COVID-19 and tuberculosis, stage IV of HIV infection, in the phase of progression, in the absence of ART is characterized by the generalization of tuberculosis and the development of opportunistic lung diseases, severe clinical picture and visualization with computed tomography of dissemination syndrome, pulmonary pattern pathology and adenopathy, which practically does not differ from patients without COVID-19. It is not possible to diagnose this comorbidity by clinical and radiation methods of research. Special microbiological and molecular genetic methods are needed to study diagnostic material from the respiratory system and other organs in order to prescribe timely etiological treatment.

The aim of this work is to evaluate possibilities of MR liver non-contrast perfusion in patients with diffuse liver diseases (DLD). Laboratory data, results of ultrasound examination with doppler ultrasonography of liver vessels, results of MRI with non-contrast MR perfusion (ASL-perfusion) of the liver was estimated in a group of patients with DLD. Potentials of assessment of ASL liver perfusion for clinical form prediction are described in the article. Potentials of using the assessment of ASL liver perfusion for information about a liver blood flow type and process activity indicators by blood chemistry are also described. It was established, that ASL MR of the liver is recommended to use in patients with diffuse liver diseases who admitted to a hospital, then in 1 month (in case of hypo/hyperperfusion) or in 6 months (in case of normal perfusion).

The purpose of the study was to compare the effectiveness of various artificial intelligence systems for detecting foci and rounded lesions in the lungs. For testing, we selected four software products based on convolutional neural networks, positioning themselves as a sensitive system for evaluating digital chest radiographs. An analytical validation method was used for clinical evaluation. For diagnostics, 3 data samples were formed with the identification of signs of diseases (sample 1–5150 radiographs, detection of pathological changes 3 %; sample 2–100 radiographs, detection of pathological changes 6 %; sample 3–300 radiographs, detection of the prevalence of pathological changes 50 %). None of the software products passed the AUC threshold of 0.811 on all three samples. In all three samples, all software products have high accuracy and high sensitivity in detecting round formations, which leads to rare cases of overdiagnosis and special cases of underdiagnosis. The use of digital X-ray image analysis systems based on artificial intelligence technologies is a promising direction for high-quality diagnostics, primarily when considering their young radiologists as an additional opinion.

In this study, the impact of the availability and accuracy of the patient’s clinical, laboratory and anamnestic data on the conclusion of a radiologist was evaluated. To achieve this goal, three groups of protocols of 60 digital chest radiographs performed by five radiologists with different work experience were compared. At the first stage, a set of radiographs was provided without additional information, at the second stage — with reliable brief clinical, laboratory and anamnestic data and at the third stage - with unreliable data. As a result, it was shown that the availability of reliable and accurate clinical information is important for the interpretation of chest radiographs.

The article presents a description of a clinical case in a 7-year old child suffering occasional abdominal pain. An examination (3D magnetic resonance cholangiopancreatography) revealed a choledoch duct cyst type Iс. Surgical correction of congenital malformation of bile ducts was performed due to periodic attacks of pain, presence of concretions in the ducts, the possibility of malignification in the future and the development of possible complications. The clinical example demonstrates the high efficiency of MRCP for assessing anatomical and topographic relationships and concomitant structural anomalies that allow planning the tactics of surgical treatment. MRCP is important to use in the postoperative period to assess possible complications.