Recent studies focused on rectal cancer suggested that a 3D imaging segmentation obtained from MRI data could contribute in the definition of the circumferential resection margin (CRM) and in the assessment of the tumor regression following neo-adjuvant treatments. Here, we propose a method for defining and visualizing the circumferential margins using 3D MRI segmentation; this methodology was tested in a clinical study comparing 3D CRM assessment vs standard MRI imaging.
3D MRI segmentation and 3D circumferential resection margin evaluation for a standard rectal cancer assessment / Lorenzon, L; Bini, F; Quatrale, M; Biondi, A; Persiani, R; Di Pietropaolo, M; Landolfi, F; Iannicelli, E; Marinozzi, F; Balducci, G; D'Ugo, D. - In: IL GIORNALE DI CHIRURGIA. - ISSN 0391-9005. - STAMPA. - 39:3(2018), pp. 152-157. [10.11138/gchir/2017.39.3.152]
3D MRI segmentation and 3D circumferential resection margin evaluation for a standard rectal cancer assessment
Lorenzon, L
Primo
;Bini, F;Di Pietropaolo, M;Landolfi, F;Iannicelli, E;Marinozzi, F;Balducci, G;
2018
Abstract
Recent studies focused on rectal cancer suggested that a 3D imaging segmentation obtained from MRI data could contribute in the definition of the circumferential resection margin (CRM) and in the assessment of the tumor regression following neo-adjuvant treatments. Here, we propose a method for defining and visualizing the circumferential margins using 3D MRI segmentation; this methodology was tested in a clinical study comparing 3D CRM assessment vs standard MRI imaging.File | Dimensione | Formato | |
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