Multinodular and Vacuolating Posterior Fossa Lesions of Unknown Significance.
Augustin LeclerJ BailleuxBéatrice Carsin-NicolHoma Adle-BiassetteSeyyid BalogluC BogeyFabrice BonnevilleE CalvierPierre-Olivier CombyJean Philippe CottierFrançois CottonRomain DeschampsC Diard-DetoeufFrancois DucrayLoïc DuronC DrissiMonique Elmaleh-BergèsJ FarrasJ A GarciaE GerardinSylvie GrandDragos Catalin JianuStéphane KremerN MagneMehdi MejdoubiAntoine MoulignierM OllivierS NagiM RodallecJ-C SadikNatalia ShorThomas TourdiasC VandendriesV BroquetJulien Savatovskynull nullPublished in: AJNR. American journal of neuroradiology (2019)
Multinodular and vacuolating neuronal tumor of the cerebrum is a rare supratentorial brain tumor described for the first time in 2013. Here, we report 11 cases of infratentorial lesions showing similar striking imaging features consisting of a cluster of low T1-weighted imaging and high T2-FLAIR signal intensity nodules, which we referred to as multinodular and vacuolating posterior fossa lesions of unknown significance. No relationship was found between the location of the lesion and clinical symptoms. A T2-FLAIR hypointense central dot sign was present in images of 9/11 (82%) patients. Cortical involvement was present in 2/11 (18%) of patients. Only 1 nodule of 1 multinodular and vacuolating posterior fossa lesion of unknown significance showed enhancement on postcontrast T1WI. DWI, SWI, MRS, and PWI showed no malignant pattern. Lesions did not change in size or signal during a median follow-up of 3 years, suggesting that multinodular and vacuolating posterior fossa lesions of unknown significance are benign malformative lesions that do not require surgical intervention or removal.
Keyphrases
- end stage renal disease
- newly diagnosed
- ejection fraction
- chronic kidney disease
- high resolution
- randomized controlled trial
- prognostic factors
- peritoneal dialysis
- deep learning
- magnetic resonance imaging
- magnetic resonance
- patient reported outcomes
- machine learning
- blood brain barrier
- physical activity
- convolutional neural network
- high intensity
- subarachnoid hemorrhage
- diffusion weighted