Automated segmentation of ablated lesions using deep convolutional neural networks: A basis for response assessment following laser interstitial thermal therapy.

Aden P Haskell-MendozaEllery H ReasonAriel T GonzalezJoshua D JacksonEric W SankeyEthan S SrinivasanJames E HerndonPeter E Fecci Evan Calabrese

Published in: Neuro-oncology (2024)

Post-LITT CeLV expansion is quantifiable and resolves within 6 months of LITT. Development of response assessment criteria for LITT-treated lesions is feasible and should be considered for clinical trials. Automated lesion segmentation could speed the adoption of volumetric response criteria in clinical practice.

Keyphrases

convolutional neural network
deep learning
clinical trial
clinical practice
machine learning
high throughput
randomized controlled trial
high resolution
electronic health record
clinical evaluation