Angela Mastronuzzi: Machine Learning Analysis in Diffusion Kurtosis Imaging for Pediatric Posterior Fossa Tumors
Angela Mastronuzzi shared a post on LinkedIn about her recent paper, commenting:
“Just published, Machine Learning Analysis in Diffusion Kurtosis Imaging (DKI) for Discriminating Pediatric Posterior Fossa (PF) Tumors: A Repeatability and Accuracy Pilot Study by Cancers MDPI.
Differentiating pediatric PF tumors such as medulloblastoma (MB), ependymoma (EP), and pilocyticastrocytoma (PA) remains relevant, because of important treatment and prognostic implications.
DKI has not yet been investigated for discrimination of pediatric PF tumors. Estimating diffusion values from whole-tumor-based (VOI) segmentations may improve diffusion measurement repeatability compared to conventional Region-of-Interest (ROI) approaches.
Our purpose was to compare repeatability between ROI and VOI DKI-derived diffusion measurements and assess DKI accuracy in discriminating among pediatric PF tumors.
Conclusions:
VOI-based measurements presented improved repeatability compared to ROI-based measurements across all diffusion metrics. An ML classification algorithm resulted accurate in discriminating PF tumors on a SMOTE-generated dataset. ML techniques based on DKI-derived metrics are useful for the discrimination of pediatric PF tumors.”
Machine Learning Analysis in Diffusion Kurtosis Imaging for Discriminating Pediatric Posterior Fossa Tumors: A Repeatability and Accuracy Pilot Study published in MDPI.
Authors: Ioan Paul Voicu, Francesco Dotta, Antonio Napolitano, Massimo Caulo, Eleonora Piccirilli, Claudia D’Orazio, Andrea Carai, Evelina Miele, Maria Vinci, Sabrina Rossi, Antonella Cacchione, Sabina Vennarini, Giada Del Baldo, Angela Mastronuzzi, Paolo Tomà and Giovanna Stefania Colafatiand.
Additional information
Source: Angela Mastronuzzi/LinkedIn
Angela Mastronuzzi is pediatric hematologist-oncologist and the Head of Neuro-Oncology Unit at Bambino Gesù Children’s Hospital (Italy). She is also a professor at the UniCamillus International Medical University, and a Board Member of AIEOP (Associazione Italiana Ematologia Oncologia Pediatrica). Her main fields of interest are CNS tumors and innovative therapies.
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