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Your search keyword '"Irina V. Gridneva"' showing total 5 results
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5 results on '"Irina V. Gridneva"'

1. Malignant neoplasm of the bronchi and lung: Russian clinical guidelines

Author

Konstantin K. Laktionov, Elena V. Artamonova, Tatiana N. Borisova, Valeriy V. Breder, Iurii M. Bychkov, Liubov Iu. Vladimirova, Nikita M. Volkov, Stepan M. Ergnian, Albina S. Zhabina, Pavel V. Kononets, Alexander E. Kuzminov, Evgeny V. Levchenko, Olga A. Malikhova, Dimitr T. Marinov, Sergey V. Miller, Fedor V. Moiseenko, Valeriia V. Mochal’nikova, Sergei N. Novikov, Oleg V. Pikin, Elena V. Reutova, Evgenii O. Rodionov, Dina D. Sakaeva, Ksenia A. Sarantseva, Anna I. Semenova, Aleksei V. Smolin, Vladimir M. Sotnikov, Sergei A. Tuzikov, Igor N. Turkin, Igor E. Tyurin, Vladimir D. Chkhikvadze, Konstantin I. Kolbanov, Marina V. Chernykh, Andrei V. Chernichenko, Aleksandr A. Fedenko, Elena V. Filonenko, Aleksei A. Nevol’skikh, Sergei A. Ivanov, Zhanna V. Khailova, Tigran G. Gevorkian, Aleksei V. Butenko, Ilmira R. Gil’mutdinova, Irina V. Gridneva, Mikhail A. Eremushkin, Margarita A. Zernova, Boris S. Kasparov, Denis V. Kovlen, Kristina O. Kondrat’eva, Tatiana V. Konchugova, Svetlana B. Korotkova, Anton A. Krutov, Olga A. Obukhova, Gennadii N. Ponomarenko, Tatiana Iu. Semiglazova, Aleksandra M. Stepanova, and Marina M. Khulamkhanova

Subjects
Cancer Research, Oncology
Abstract

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Published
2022
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2. Malignant neoplasm of the bronchi and lung: Russian clinical guidelines

Author

Andrei V. Chernichenko, Iurii M. Bychkov, Aleksandr A. Fedenko, Elena V. Artamonova, Tigran G. Gevorkian, Valeriia V. Mochal’nikova, Gennadii N. Ponomarenko, Zhanna V. Khailova, Sergei A. Ivanov, Svetlana B. Korotkova, Fedor Moiseenko, Irina V. Gridneva, Kristina O. Kondrat’eva, Aleksei V. Smolin, Anton A. Krutov, Tat'iana Iu Semiglazova, Dimitr T. Marinov, Mikhail A. Eremushkin, Sergei V. Miller, Vladimir D. Chkhikvadze, Evgenii O. Rodionov, T. N. Borisova, Sergei N. Novikov, Liubov' I Vladimirova, Denis V. Kovlen, Oleg V. Pikin, Konstantin Laktionov, Aleksei V. Butenko, Marina M. Khulamkhanova, A S Zhabina, Evgenii V. Levchenko, Valerii V. Breder, Igor N. Turkin, Nikita M. Volkov, Dina D. Sakaeva, Margarita A. Zernova, Elena V. Filonenko, Malikhova Oa, Olga A. Obukhova, Anna I. Semenova, Aleksandra M. Stepanova, Sergei A. Tuzikov, Tatiana V. Konchugova, Vladimir M. Sotnikov, Aleksandr E. Kuz’minov, Stepan M. Ergnian, Aleksei A. Nevol’skikh, Ilmira R. Gil’mutdinova, Galina A. Tkachenko, Igor E. Tiurin, Pavel V. Kononets, Boris Kasparov, Konstantin I. Kolbanov, and Elena V. Reutova

Subjects
lung cancer, Cancer Research, Pathology, medicine.medical_specialty, Lung, medicine.anatomical_structure, clinical guidelines, Oncology, business.industry, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, Medicine, business, RC254-282
Abstract

Lung cancer has the highest morbidity rate among all malignant tumors in men and the highest mortality rate in men and women in Russia. In total, 49 145 new cases of lung cancer were registered (diagnosed) in Russia in 2019. The majority of cases are related to exogenic carcinogens and mainly tobacco smoke. For several decades surgical resection with preoperative cytotoxic therapy was an optimal approach for maximal cure rate. This year recommendations were updated with new strategies including adjuvant anti-PD-L1 atezolizumab following completion of chemotherapy in PD-L1 positive patients and osimertinib for EGFR mutated cases. For this moment available data suggest the increase in disease free survival. Strategic approach to treatment for inoperable patients varies according to the status of driver mutations. New approach includes pretreatment option of testing for a wide spectrum of alterations with NGS based panels. Significant changes were incorporated into treatment of ALK mutated NSCLC with two new options of brigatinib for TKI naive patients and lorlatinib for those who progress on second generation drugs. Treatment strategy for patients without activating mutations is based on PD-L1 status. Tsis year recommendations included atezolizumab as a new monotherapy option for patients with high depression of PD-L1. Also treatment options for pembrolizumab, nivolumab and atezolizimab were widened with prolonged treatment schedules.

Published
2021
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5. Planar projection of the principal components of fractal Brownian functions

Author

Irina V. Gridneva, Lyudmila I. Fedulova, and Pavel V. Moskalev

Subjects
History, Fractal, Materials science, Planar projection, Principal component analysis, Mathematical analysis, Brownian motion, Computer Science Applications, Education
Abstract

The error in the planar projection of the principal components of a multidimensional data array strongly depends on the number and dimension of the column vectors of this array and the correlation between the vectors. In this work, we investigate the dependence of the error on the planar projection of the principal components of fractal Brownian functions on the number of statistically independent realizations in the multidimensional data array. As a result, we show that, under certain assumptions, the number of statistically independent realizations of fractal Brownian functions coincides with the effective dimension of the projection of the principal components.

Published
2020
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