Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion

Eur J Nucl Med Mol Imaging

25 Febbraio Feb 2022 2 months ago
  • Muscogiuri G, Chiesa M, Baggiano A, Guglielmo M, Scafuri S, Fusini L, Mushtaq S, Conte E, Annoni A, Formenti A, Mancini ME, Babbaro M, Mollace R, Andreini D, Pepi M, G Pontone

To evaluate the diagnostic accuracy of a deep learning (DL) algorithm predicting hemodynamically significant coronary artery disease (CAD) by using a rest dataset of myocardial computed tomography perfusion (CTP) as compared to invasive evaluation.

Reference

Diagnostic performance of deep learning algorithm for analysis of computed tomography myocardial perfusion. Muscogiuri G, Chiesa M, Baggiano A, Spadafora P, De Santis R, Guglielmo M, Scafuri S, Fusini L, Mushtaq S, Conte E, Annoni A, Formenti A, Mancini ME, Ricci F, Ariano FP, Spiritigliozzi L, Babbaro M, Mollace R, Maragna R, Giacari CM, Andreini D, Guaricci AI, Colombo GI, Rabbat MG, Pepi M, Sardanelli F, Pontone G. Eur J Nucl Med Mol Imaging. 2022 Feb 23.

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