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Non-traditional tools for predicting coronary artery disease.
Khurana, Rishabh; Yadav, Anurag; Buxi, T B S; Rawat, Kishan Singh; Ghuman, Samarjit S.
Afiliación
  • Khurana R; Department of Cardiovascular Radiology and Endovascular Interventions, All India Institute of Medical Sciences, New Delhi, India.
  • Yadav A; Department of CT and MRI, Sir Ganga Ram Hospital, Old Rajinder Nagar, New Delhi 110060, India.
  • Buxi TBS; Department of CT and MRI, Sir Ganga Ram Hospital, Old Rajinder Nagar, New Delhi 110060, India.
  • Rawat KS; Department of CT and MRI, Sir Ganga Ram Hospital, Old Rajinder Nagar, New Delhi 110060, India.
  • Ghuman SS; Department of CT and MRI, Sir Ganga Ram Hospital, Old Rajinder Nagar, New Delhi 110060, India.
Natl Med J India ; 35(5): 261-265, 2022.
Article en En | MEDLINE | ID: mdl-37167490

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Natl Med J India Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: India

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Enfermedad de la Arteria Coronaria Tipo de estudio: Etiology_studies / Observational_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Natl Med J India Asunto de la revista: MEDICINA Año: 2022 Tipo del documento: Article País de afiliación: India