european journal of nuclear medicine and molecular imaging impact factor

Dear Editor,

Se read the producto por Schuessler et al with interest . En sus estudios, se emplea en CT-FFR machine learning algoritmo para distinción de hemodynamically significante y no significante coronary stenosis en pacientes evaluados por LT. En este estudio, CT-FFR measurements iielded a sensitivity of 71%, a specificity of 90%, a PPV of 67%, ahora NPV of 91%, y they concluded that the algorithm seems a very promising noninvasive approach .

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