Three-Dimensional Measurement Of hepatocellular carcinoma Ablation Zones And Margins For Predicting Local Tumor Progression

Abstract : Purpose: To propose a postprocessing technique that measures tumor surface with insufficient ablative margins (r 5 mm) on magnetic resonance (MR) imaging to predict local tumor progression (LTP) following radiofrequency (RF) ablation. Materials and Methods: A diagnostic method is proposed based on measurement of tumor surface with a margin r 5 mm on MR imaging. The postprocessing technique includes fully automatic registration of pre-and post–RF ablation MR imaging, a semiautomatic segmentation of pre–RF ablation tumor and post–RF ablation volume, and a subsequent calculation of the three-dimensional exposed tumor surface area. The ability to use this surface margin r 5 mm to predict local recurrence at 2 years was then tested on 16 patients with cirrhosis who were treated by RF ablation with a margin r 5 mm in 2012: eight with LTP matched according to tumor size and number and α-fetoprotein level versus eight without local recurrence. Results: The error of estimated tumor surface with a margin r 5 mm was less than 12%. Results of a log-rank test showed that patients with a tumor surface area 4 425 mm 2 had a 2-year LTP rate of 77.5%, compared with 25% for patients with a tumor surface area r 425 mm 2 (P ¼ .018). Conclusions: This proof-of-concept study proposes an accurate and reliable postprocessing technique to estimate tumor surface with insufficient ablative margins, and underscores the potential usefulness of tumor surface with a margin r 5 mm to stratify patients with HCC treated by RF ablation according to their risk of LTP.
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JVIR: Journal of Vascular and Interventional Radiology, Elsevier, 2016, 27 (7), pp.1038-1045.e2. 〈10.1016/j.jvir.2016.02.031〉
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Arnaud Hocquelet, Hervé Trillaud, Nora Frulio, Panteleimon Papadopoulos, P. Balageas, et al.. Three-Dimensional Measurement Of hepatocellular carcinoma Ablation Zones And Margins For Predicting Local Tumor Progression. JVIR: Journal of Vascular and Interventional Radiology, Elsevier, 2016, 27 (7), pp.1038-1045.e2. 〈10.1016/j.jvir.2016.02.031〉. 〈hal-01312564〉

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