Modern possibilities of radiological diagnosis of bladder cancer
Bladder cancer is one of the most severe and common diseases of genitourinary organs. According to WHO statistics, bladder cancer is the tenth in cancer morbidity structure and the 13th in cancer mortality structure in the world. In Russia, bladder cancer is 11th in cancer morbidity structure and 16...
Guardado en:
Autores principales: | , , , , , , , |
---|---|
Formato: | article |
Lenguaje: | RU |
Publicado: |
IP Habib O.N.
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/38b5df6c87654245b9290bdaa1d796a0 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
id |
oai:doaj.org-article:38b5df6c87654245b9290bdaa1d796a0 |
---|---|
record_format |
dspace |
spelling |
oai:doaj.org-article:38b5df6c87654245b9290bdaa1d796a02021-11-30T17:03:34ZModern possibilities of radiological diagnosis of bladder cancer1815-14341815-144210.26442/18151434.2020.4.200257https://doaj.org/article/38b5df6c87654245b9290bdaa1d796a02021-02-01T00:00:00Zhttps://modernonco.orscience.ru/1815-1434/article/viewFile/61164/44253https://doaj.org/toc/1815-1434https://doaj.org/toc/1815-1442Bladder cancer is one of the most severe and common diseases of genitourinary organs. According to WHO statistics, bladder cancer is the tenth in cancer morbidity structure and the 13th in cancer mortality structure in the world. In Russia, bladder cancer is 11th in cancer morbidity structure and 16th in cancer mortality structure. In most cases, bladder cancer is diagnosed at 6574 years of age. The 5-year survival rate for stage IV bladder cancer is about 15%. Early detection, correct staging, and management of the patient influence the prognosis and further quality of life. This review shows detection and staging methods of bladder cancer, staging categories based on multiparametric magnetic-resonance imaging with the use of Vesical Imaging-Reporting and Data System (VI-RADS). Illustrations and a brief overview of alternative visualization methods of bladder lesions, and new approaches in assessment of digital medical images, radiomics and radiogenomics, are presented. In the future, these methods should help to determine the biological characteristics of the tumor without taking a biopsy.Maria M. SuchilovaAleksandr E. NikolaevArsen N. ShapievGuzel Z. MukhutdinovaPolina V. TkachevaMarina V. NikiforovaViktor A. GombolevskiySergey P. MorozovIP Habib O.N.articlebladder cancervesical imaging-reporting and data systemmagnetic-resonance imagingctpet/ctradiomicsNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282RUСовременная онкология, Vol 22, Iss 4, Pp 101-108 (2021) |
institution |
DOAJ |
collection |
DOAJ |
language |
RU |
topic |
bladder cancer vesical imaging-reporting and data system magnetic-resonance imaging ct pet/ct radiomics Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 |
spellingShingle |
bladder cancer vesical imaging-reporting and data system magnetic-resonance imaging ct pet/ct radiomics Neoplasms. Tumors. Oncology. Including cancer and carcinogens RC254-282 Maria M. Suchilova Aleksandr E. Nikolaev Arsen N. Shapiev Guzel Z. Mukhutdinova Polina V. Tkacheva Marina V. Nikiforova Viktor A. Gombolevskiy Sergey P. Morozov Modern possibilities of radiological diagnosis of bladder cancer |
description |
Bladder cancer is one of the most severe and common diseases of genitourinary organs. According to WHO statistics, bladder cancer is the tenth in cancer morbidity structure and the 13th in cancer mortality structure in the world. In Russia, bladder cancer is 11th in cancer morbidity structure and 16th in cancer mortality structure. In most cases, bladder cancer is diagnosed at 6574 years of age. The 5-year survival rate for stage IV bladder cancer is about 15%. Early detection, correct staging, and management of the patient influence the prognosis and further quality of life. This review shows detection and staging methods of bladder cancer, staging categories based on multiparametric magnetic-resonance imaging with the use of Vesical Imaging-Reporting and Data System (VI-RADS). Illustrations and a brief overview of alternative visualization methods of bladder lesions, and new approaches in assessment of digital medical images, radiomics and radiogenomics, are presented. In the future, these methods should help to determine the biological characteristics of the tumor without taking a biopsy. |
format |
article |
author |
Maria M. Suchilova Aleksandr E. Nikolaev Arsen N. Shapiev Guzel Z. Mukhutdinova Polina V. Tkacheva Marina V. Nikiforova Viktor A. Gombolevskiy Sergey P. Morozov |
author_facet |
Maria M. Suchilova Aleksandr E. Nikolaev Arsen N. Shapiev Guzel Z. Mukhutdinova Polina V. Tkacheva Marina V. Nikiforova Viktor A. Gombolevskiy Sergey P. Morozov |
author_sort |
Maria M. Suchilova |
title |
Modern possibilities of radiological diagnosis of bladder cancer |
title_short |
Modern possibilities of radiological diagnosis of bladder cancer |
title_full |
Modern possibilities of radiological diagnosis of bladder cancer |
title_fullStr |
Modern possibilities of radiological diagnosis of bladder cancer |
title_full_unstemmed |
Modern possibilities of radiological diagnosis of bladder cancer |
title_sort |
modern possibilities of radiological diagnosis of bladder cancer |
publisher |
IP Habib O.N. |
publishDate |
2021 |
url |
https://doaj.org/article/38b5df6c87654245b9290bdaa1d796a0 |
work_keys_str_mv |
AT mariamsuchilova modernpossibilitiesofradiologicaldiagnosisofbladdercancer AT aleksandrenikolaev modernpossibilitiesofradiologicaldiagnosisofbladdercancer AT arsennshapiev modernpossibilitiesofradiologicaldiagnosisofbladdercancer AT guzelzmukhutdinova modernpossibilitiesofradiologicaldiagnosisofbladdercancer AT polinavtkacheva modernpossibilitiesofradiologicaldiagnosisofbladdercancer AT marinavnikiforova modernpossibilitiesofradiologicaldiagnosisofbladdercancer AT viktoragombolevskiy modernpossibilitiesofradiologicaldiagnosisofbladdercancer AT sergeypmorozov modernpossibilitiesofradiologicaldiagnosisofbladdercancer |
_version_ |
1718406372589043712 |