Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Haji-Momenian, Shawn; Lin, Zixian; Patel, Bhumi; Law, Nicole; Michalak, Adam; Nayak, Anishsanjay; Earls, James; Loew, Murray

Texture analysis and machine learning algorithms accurately predict histologic grade in small (< 4 cm) clear cell renal cell carcinomas: a pilot study.

Haji-Momenian, Shawn; Lin, Zixian; Patel, Bhumi; Law, Nicole; Michalak, Adam; Nayak, Anishsanjay; Earls, James; Loew, Murray.

Afiliación

Haji-Momenian S; Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA. shajimomenian@mfa.gwu.edu.
Lin Z; Department of Biomedical Engineering, George Washington University, 800 22nd Street NW, 5000 Science & Engineering Hall, Washington, DC, 20052, USA.
Patel B; Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA.
Law N; Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA.
Michalak A; Department of Family Medicine, University of Pittsburgh Medical Center (UPMC) Altoona, 501 Howard Avenue, Suite F2, Altoona, PA, 16601, USA.
Nayak A; Department of Biomedical Engineering, George Washington University, 800 22nd Street NW, 5000 Science & Engineering Hall, Washington, DC, 20052, USA.
Earls J; Department of Radiology, George Washington University Hospital, 900 23rd St NW, Washington, DC, 20037, USA.
Loew M; Department of Biomedical Engineering, George Washington University, 800 22nd Street NW, 5000 Science & Engineering Hall, Washington, DC, 20052, USA.

Abdom Radiol (NY) ; 45(3): 789-798, 2020 03.

Article en En | MEDLINE | ID: mdl-31822969

Asunto(s)

Carcinoma de Células Renales/diagnóstico por imagen; Carcinoma de Células Renales/patología; Neoplasias Renales/diagnóstico por imagen; Neoplasias Renales/patología; Aprendizaje Automático; Interpretación de Imagen Radiográfica Asistida por Computador/métodos; Tomografía Computarizada por Rayos X; Femenino; Humanos; Masculino; Persona de Mediana Edad; Clasificación del Tumor; Proyectos Piloto; Estudios Retrospectivos

Palabras clave

Clear cell renal cell carcinoma; Histology; Machine learning; Texture

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Carcinoma de Células Renales / Interpretación de Imagen Radiográfica Asistida por Computador / Tomografía Computarizada por Rayos X / Aprendizaje Automático / Neoplasias Renales Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Abdom Radiol (NY) Año: 2020 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

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