Pancreatic cancer (PC) is one of the leading causes of cancer-related death in the whole world – 4.5% [1]. PC has one of the lowest 5-year survival rate – only 9% in all stages [2]. Moreover, the death rate of PC tends to rise in contrast to majority types of cancer, due to greater than one-half of cases are diagnosed at a distant stage [2]. Multidetector computed tomography (MDCT) is routinely used as the most important examination in patients with suspected pancreatic cancer, because of...

We analyzed results of contrast-enhanced MDCT from 122 patients with CP: 71 (58.2%) males and 51 (41.8%) females, mean age 53.7±13.03 (30-83), who underwent MDCT from January 2018 to October 2019. All caseswere pathologically proved by core-biopsy or surgery. We used in our study 128-row MDCT. After the initial non-enhanced scan, 100 ml non-ionic contrast media (350 mgI/ml) was infused intravenously at 3 ml/second by an injector system. All contrast phases obtained in standard timing. We calculated the median of enhancement gradient inHounsfield units (HU)...

There were 46 (37.7%) patients with PC and 76 (62.3%) patients with only CP. Mean Mgrad value was higher inPC-group – 26.5±8.6 HU than in CP-group – 13.9±5.1 HU (р=0.0001). Mgrad cut-off value for PC was 20 HU, p=0.001 (fig. 2). There was positive correlation of Mgrad in patients with PC (r=0.68, p=0.0001) and negativecorrelation in patients with CP (r=-0.68, p=0.0001). Sensitivity, specificity, accuracy, positive and negativepredictive value of PC diagnosis with and without Mgrad usage present in the table below. Mgrad MDCT Sensitivity 89.1%...

1. MDCT with Mgrad value calculation is an informative technique to PC diagnosis in patients with CP. 2. Mgrad evaluation based on MDCT results is more accurate than only MDCT for PC diagnosis in patients with CP. 3. Mgrad value positively correlates with PC existence and negatively correlates with CP existence. 4. Precise assessment of suspicious zones could decrease false results. In future optimizing scanning protocols and artificial intelligence introduction could help to increase the effectiveness of PC diagnosis.

K. A. Lesko; Moscow/RU - nothing to disclose L. V. Vinokurova; Moscow/RU - nothing to disclose J. V. Kuleznewa; Moscow/RU - nothing to disclose B. Nikitin; Moscow/RU - nothing to disclose N. V. Orlova; Moscow/RU - nothing to disclose D. S. Bordin; Moscow/RU - nothing to disclose E. A. Dubtsova; Moscow/RU - nothing to disclose E. Y. Tyulyaeva; Moscow/RU - nothing to disclose

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