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Multiparametric magnetic resonance imaging and magnetic resonance imaging fusion-guided biopsy for the diagnosis of prostate cancer: current status
Testini V., Eusebi L., Guerra F., Giannubilo W., Di Biase M., Russo A., Guglielmi G.
Possibilities and limitations of magnetic resonance imaging in the diagnostics of endocervical adenocarcinomas
Antonova I., Aksenova S., Nudnov N., Kriger A.
Preparation for radioiodine therapy in patients with differentiated thyroid cancer: a modern perspective (a review)
Reinberg M., Slashchuk K., Trukhin A., Avramova K., Sheremeta M.
Objective criteria for MRI evaluation of the effectiveness of treatment of bone metastases in patients with prostate cancer and breast cancer: systematic review and meta-analysis
Ripp V., Berezovskaya T., Ivanov S.
Comparison of multiparametric and biparametric magnetic resonance imaging protocols for prostate cancer diagnosis by radiologists with different experience
Vasilev Y., Omelyanskaya O., Vladzymyrskyy A., Gelezhe P., Reshetnikov R., Gonchar A., Blokhin I., Abdullin I., Kieva I.
Possibilities and limitations of using machine text-processing tools in Russian radiology reports
Kokina D., Gombolevskiy V., Arzamasov K., Andreychenko A., Morozov S.
Dual-energy computed tomography for head and neck cancer
Petrovichev V., Neklyudova M., Sinitsyn V., Nikitin I.
Тerminology of rectal cancer: consensus agreement of the expert working group
Berezovskaya T., Rubtsova N., Sinitsyn V., Zarodnyuk I., Nudnov N., Mishchenko A., Trubacheva Y., Bergen T., Grishko P., Balyasnikova S., Dayneko Y., Ryjkova D., Hodzhibekova M., Rucheva N., Turin I., Achkasov S., Nevolskikh A., Gordeev S., Droshneva I.
The increasing role of functional visualization modalities for navigation of external beam radiation therapy and brachytherapy in prostate cancer
Rumyantsev P.
MRI evaluation of the neoadjuvant chemoradiation therapy result in a patient with rectal cancer, supplemented with T2-WI texture analysis of the tumor: a clinical case
Dayneko Y., Berezovskaya T., Myalina S., Orekhov I., Nevolskikh A.
Digital diagnostics: A computer application for lymph node metastases in cervical cancer
Kuznetsov A.
Comparative assessment of the effectiveness of multiparametric ultrasound techniques in the differential diagnosis of solid kidney formations
Kadyrleev R., Bagnenko S., Busko E., Kostromina E., Shevkunov L., Kozubova K.
Magnetic resonance imaging in the diagnosis of necrosis of a pulled-through colon segment after abdomino-anal resection of the rectum for cancer
Myalina S., Paziuk K., Berezovskaya T., Nevolskikh A., Potapov A., Ivanov S.
Radiotheranostics is here to help
Rumyantsev R.
Diseases and abnormalities of the nipple-areolar complex: a case report series
Karanadze E., Sinitsyn V., Karanadze M.
The role of mammography in breast cancer radiomics
Govorukhina V., Semenov S., Gelezhe P., Didenko V., Morozov S., Andreychenko A.
Classification of the presence of malignant lesions on mammogram using deep learning
Ibragimov A., Senotrusova S., Litvinov A., Beliaeva A., Ushakov E., Markin Y.
Optimized biparametric magnetic resonance imaging protocol for prostate cancer detection
Abuladze L., Semenov D., Panina O., Vasilev Y.
Role of chest MRI for the diagnosis of malignant pulmonary nodules: a systematic review and a meta-analysis
Vasilev Y., Panina O., Grik E., Akhmad K., Vasileva Y.
Radiomics for diagnosing clinically significant prostate cancer PI-RADS 3: what is already known and what to do next?
Tyan A., Karmazanovskij G., Karelskaya N., Kondratyev E., Kovalev A.
Determination of the diagnostic efficiency of contrast-enhanced ultrasound in the diagnosis of liver metastases of colorectal cancer
Kozubova K., Busko E., Bagnenko S., Kostromina E., Kadyrleev R., Kurganskaya I., Shevkunov L.
Magnetic resonance imaging radiomics in prostate cancer radiology: what is currently known?
Gelezhe P., Blokhin I., Semenov S., Caruso D.
Development of a prognostic model for diagnosis of prostate cancer based on radiomics of biparametric magnetic resonance imaging apparent diffusion coefficient maps and stacking of machine learning algorithms
Kuznetsov A.
Interdisciplinary databank in oncoendocrinology: radioiodine refractory differentiated thyroid cancer
Rumyantsev P., Baidak A.
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