METHOD FOR DIFFERENTIAL DIAGNOSIS OF PANCREATIC CANCER Russian patent published in 2021 - IPC A61B6/00 

Abstract RU 2742744 C1

FIELD: medicine.

SUBSTANCE: invention refers to medicine, namely to radiation diagnostics and oncology, and can be used for differential diagnostics of pancreatic cancer. Magnetic resonance imaging, 1H single-vole spectroscopy and post-treatment are performed. After marking and calibrating, T2-weighted series in three planes crossing the pancreas and axial T1FS, LAVA and DWI are performed: b = 0 b = 1000 and T1 is a double gradient echo in phase and antiphase. In the RadiAnt software system, a region of the most pronounced changes is selected, enveloped with an oval or round border. Structural heterogeneity coefficient (HG) is calculated by formula: HG = SD/SI, where SD is standard deviation, SI is average signal intensity. Portion of lipids in the pancreas is determined on the basis of the Dickson method, wherein a dual gradient echo in-phase/out-of-phase is used. Proton single-cumulative spectroscopy of the same region of suspicious changes with respect to cancer is carried out. Data is transmitted to a computer with a program for processing spectra, and spectrum peaks in the Tarquin program are determined. Value of the Lactate signal in the au is measured, and the value of the calculated diffusion coefficient (ADC) by DWI is measured. When determining a solid tissue having a KG value in T2 of 0.13-0.19 and a KG value in T1FS of 0.1–0.165, with an ADC value of 0.001–0.0016 mm2/s, a fraction of lipids of 1–3 %, Lactate 1–3 au is diagnosed with a malignant tumour. If Lactate 0–1 au, lipid fraction to 14–18 % and ADC value 0.0014–0.0022 mm2/s, chronic pancreatitis is diagnosed.

EFFECT: method provides higher accuracy of differential diagnosis of infiltrative pancreatic formations due to declared quantitative traits determined by MRI.

1 cl, 5 dwg, 1 tbl, 5 ex

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RU 2 742 744 C1

Authors

Kit Oleg Ivanovich

Frantsiyants Elena Mikhajlovna

Iozefi Dmitrij Yaroslavovich

Vinidchenko Mikhail Aleksandrovich

Dates

2021-02-10Published

2019-12-03Filed