Nowadays, uterine fibroids can be treated using Magnetic Resonance guided Focused Ultrasound Surgery (MRgFUS), which is a non-invasive therapy exploiting thermal ablation. In order to measure the Non-Perfused Volume (NPV) for treatment response assessment, the ablated fibroid areas (i.e., Region of Treatment, ROT) are manually contoured by a radiologist. The current operator-dependent methodology could affect the subsequent follow-up phases, due to the lack of result repeatability. In addition, this fully manual procedure is time-consuming, considerably increasing execution times. These critical issues can be addressed only by means of accurate and efficient automated Pattern Recognition approaches. In this contribution, we evaluate two computer-assisted segmentation methods, which we have already developed and validated, for uterine fibroid segmentation in MRgFUS treatments. A quantitative comparison on segmentation accuracy, in terms of area-based and distance-based metrics, was performed. The clinical feasibility of these approaches was assessed from physicians’ perspective, by proposing an integrated solution.

Rundo, L., Militello, C., Tangherloni, A., Russo, G., Lagalla, R., Mauri, G., et al. (2019). Computer-assisted approaches for uterine fibroid segmentation in MRgFUS treatments: Quantitative evaluation and clinical feasibility analysis. In Smart Innovation, Systems and Technologies (pp. 229-241). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-319-95095-2_22].

Computer-assisted approaches for uterine fibroid segmentation in MRgFUS treatments: Quantitative evaluation and clinical feasibility analysis

Lagalla, Roberto;Vitabile, Salvatore
2019-01-01

Abstract

Nowadays, uterine fibroids can be treated using Magnetic Resonance guided Focused Ultrasound Surgery (MRgFUS), which is a non-invasive therapy exploiting thermal ablation. In order to measure the Non-Perfused Volume (NPV) for treatment response assessment, the ablated fibroid areas (i.e., Region of Treatment, ROT) are manually contoured by a radiologist. The current operator-dependent methodology could affect the subsequent follow-up phases, due to the lack of result repeatability. In addition, this fully manual procedure is time-consuming, considerably increasing execution times. These critical issues can be addressed only by means of accurate and efficient automated Pattern Recognition approaches. In this contribution, we evaluate two computer-assisted segmentation methods, which we have already developed and validated, for uterine fibroid segmentation in MRgFUS treatments. A quantitative comparison on segmentation accuracy, in terms of area-based and distance-based metrics, was performed. The clinical feasibility of these approaches was assessed from physicians’ perspective, by proposing an integrated solution.
2019
Rundo, L., Militello, C., Tangherloni, A., Russo, G., Lagalla, R., Mauri, G., et al. (2019). Computer-assisted approaches for uterine fibroid segmentation in MRgFUS treatments: Quantitative evaluation and clinical feasibility analysis. In Smart Innovation, Systems and Technologies (pp. 229-241). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-319-95095-2_22].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10447/336154
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