Multiple analyses suggests texture features can indicate the presence of tumor in the prostate tissue-Reference-Cited by-同舟云学术

Multiple analyses suggests texture features can indicate the presence of tumor in the prostate tissue

Published:2022-03-24 Issue:2 Volume:45 Page:525-535
ISSN:2662-4729
Container-title:Physical and Engineering Sciences in Medicine
language:en
Short-container-title:Phys Eng Sci Med

Author:

Souza Sérgio Augusto Santana,Reis Leonardo Oliveira,Alves Allan Felipe Fattori,Silva Letícia Cotinguiba,Medeiros Maria Clara Korndorfer,Andrade Danilo Leite,Billis Athanase,Amaro João Luiz,Martins Daniel Lahan,Trindade André Petean,Miranda José Ricardo Arruda,Pina Diana Rodrigues^ORCID

Funder

Fundação de Amparo à Pesquisa do Estado de São Paulo

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Publisher

Springer Science and Business Media LLC

Subject

Radiology, Nuclear Medicine and imaging,Instrumentation,Biomedical Engineering,Biophysics,Radiological and Ultrasound Technology,Biotechnology

Link

https://link.springer.com/content/pdf/10.1007/s13246-022-01118-2.pdf

Reference31 articles.

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2. MacKenzie R (2009) Donald Gleason and the grading of prostate cancer. J Insur Med 41(1):4–5

3. Mehralivand S, Shih JH, Harmon S (2019) A grading system for the assessment of risk of extraprostatic extension of prostate cancer at multiparametric MRI. Radiology 290(3):709–719. https://doi.org/10.1148/radiol.2018181278

4. Schoots IG, Padhani AR (2021) Risk-adapted biopsy decision based on prostate magnetic resonance imaging and prostate-specific antigen density for enhanced biopsy avoidance in first prostate cancer diagnostic evaluation. BJU Int 127(2):175–178. https://doi.org/10.1111/bju.15277

5. Khalvati F, Wong A, Haider MA (2015) Automated prostate cancer detection via comprehensive multi-parametric magnetic resonance imaging texture feature models. BMC Med Imaging 15:27. https://doi.org/10.1186/s12880-015-0069-9