Abstract #0782

PET-MR multiparametric imaging biomarkers for differentiating between progression and radionecrosis of brain tumors

Nadya Pyatigorskaya^1,2,3, Marc Bertaux⁴, Brian Sgard⁴, Lydia Yahia-cherif³, Marine Soret⁴, Marie-Odile Habert⁴, Didier Dormont¹, Damien Galanaud¹, and Aurelie Kas⁴

¹Neuroradiology, Pitié Salpêtrière Hospital, APHP, Paris, France, ²UMR S 1127, CNRS UMR 7225, ICM, UPMC Univ Paris 06, Paris, France, ³Centre de NeuroImagerie de Recherche – CENIR, ICM, Paris, France, ⁴Nuclear Medecine, Pitié Salpêtrière Hospital, APHP, Paris, France

The aim of this work was evaluating the diagnostic accuracy of PET-MRI in difficult cases of differentiating between tumor progression and radionecrosis in neuro-oncology. For each lesion, PET (SUVmax, SUV mean, SUVpeak) and MRI (ADC, CBV, CBF, pCASL CBF) biomarkers were extracted. The combination of PET and MRI biomarkers allowed to improve the diagnostic accuracy. The logistic regression model has shown that 94% cases were correctly classified using the combination of SUVpeak and pCASL rCBF. Excellent diagnostic accuracy was achieved for both qualitative and quantitative evaluation by means of combined analysis of morphological, functional and metabolic imaging markers.

How to access this content:

For one year after publication, abstracts and videos are only open to registrants of this annual meeting. Registrants should use their existing login information. Non-registrant access can be purchased via the ISMRM E-Library.

After one year, current ISMRM & ISMRT members get free access to both the abstracts and videos. Non-members and non-registrants must purchase access via the ISMRM E-Library.

After two years, the meeting proceedings (abstracts) are opened to the public and require no login information. Videos remain behind password for access by members, registrants and E-Library customers.

Click here for more information on becoming a member.