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Quantitative analysis of lung microwave ablation zone volume and shape
Robert S Salkin1, Arvind B Dev1, Erica S Alexander1
1Department of Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, USA.
European Radiology Experimental
|May 28, 2026
Summary
Lung microwave ablation (LMWA) volumes are predictable, but shapes vary significantly, requiring improved prediction models. Tissue contraction does not explain these observed variations in LMWA zones.
Area of Science:
- Medical Imaging
- Interventional Radiology
- Oncology
Background:
- Lung microwave ablation (LMWA) is a minimally invasive treatment for lung tumors.
- Accurate prediction of ablation zone volume and shape is crucial for treatment efficacy and safety.
- Existing vendor models may not fully capture the variability in ablation outcomes.
Purpose of the Study:
- To quantify the volume and shape variability of LMWA zones.
- To compare actual ablation zones with predicted zones from vendor models.
- To investigate the correlation between tissue contraction and ablation zone characteristics.
Main Methods:
- Retrospective analysis of 111 LMWA procedures in 72 patients.
- Utilized Pyradiomics for volume generation and Euler characteristic transform for 3D shape analysis.
- Quantified tissue contraction using CT scans and anatomical landmarks.
Main Results:
- Ablation volumes were comparable to vendor predictions, but length and maximum width were significantly greater.
- Ablation shapes exhibited significant variability, being more elongated, less spherical, and asymmetric than predicted ellipsoids.
- No correlation was found between tissue contraction and ablation zone volume, power, or time.
Conclusions:
- Vendor models provide a reasonable estimate of mean ablation volume but lack precision for individual cases due to high shape variability.
- Development of bespoke ablation zone prediction models is necessary to account for observed variations in LMWA.
- Tissue contraction is not a significant factor influencing the variability of LMWA zone dimensions.

