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Abstract #4416

ADC-Based Prediction of MCA Infarct Growth: Validation in 216 Acute Stroke Patients

Charlotte Rosso1,2, Yohan Attal2, Sandrine Deltour1, Nidiyare Hevia-Montiel2, Eric Bardinet2,3, Dider Dormont2,4, Stephane Lehericy2,4, Sylvain Baillet2, Yves Samson1,5

1Urgences Cerebro-Vasculaires, Pitie-Salpetriere Hospital, Paris, France; 2CRICM, INSERM UMR S_975, CNRS UMR_7725, Equipe COGIMAGE, Pitie-Salpetriere Hospital, Paris, France; 3Centre for NeuroImaging Research CENIR, Pitie-Salpetriere Hospital, Paris, France; 4Neuroradiology Department, Pitie-Salpetriere Hospital, Paris, France; 5CRICM, INSERM UMR S_975, CNRS UMR_7725, Equipe COGIMAGE, Pitie-Salpetriere, Paris, France

In this work, we used ADC maps to predict infarct growth. The method is based on an algorithm able to make the initial infarct lesion growing up, taking in account the slight ADC decrease which occurs in the at-risk tissue. Patients (n=216) with MCA acute stroke confirmed by an initial (<6H) and a control MRI have been tested. Predicted vs. final infarct sizes and growths were significantly correlated. The accuracy to predict infarct growth status (patients with or without infarct growth) reached 76 %. The ADC-defined tissue-at-risk is a hallmark of the penumbra since MCA recanalization could spare it.