Magnus Starbrink, Svein Eikeseth, Sigmund Eldevik, Johanna Edervall
Experimental assessment of seizure-like behaviors in a girl with Rett syndrome
Epilepsy & behavior reports
microwave lung ablation mwa minimally invasive inexpensive alternative cancer treatment patients candidates surgeryradiotherapy however major challenge mwa relatively high tumor recurrence rates due incomplete treatment result inaccurate planning introduce patientspecific deeplearning model accurately predict posttreatment ablation zones aid planning enable effective treatments irbapproved retrospective study consisted ablations single applicatorburnvendor 012015 012019 input data included preprocedure computerized tomography ct ablation powertime applicator position ground truth ablation zone segmented followup ct posttreatment novel deformable image registration optimized ablation scans applicatorcentric coordinate system data analysis applied prediction model based unet architecture registrations evaluated using target registration error tre predictions using blandaltman plots dice coefficient precision recall compared applicator vendors estimates data included 113 unique ablations 72 patients median age 57 interquartile range iqr 4967 41 women obtained tre 2 mm 52 ablations prediction bias ground truth ablation volumes p 0169 unlike vendors estimate p 0001 smaller limits agreement p 0001 11 improvement achieved dice score ability account patientspecific invivo anatomical effects due vessels chest wall heart lung boundaries fissures shown demonstrated patientspecific deeplearning model predict ablation treatment effect prior procedure potential improved planning achieving complete treatments reduce tumor recurrence method addresses current lack reliable tools estimate ablation extents required ensuring successful ablation treatments potential clinical implications include improved treatment planning ensuring complete treatments reducing tumor recurrence