Literature DB >> 32642989

Value of MRI/CT Image Fusion for Targeting "invisible" Lesions in Stereotactic Microwave Ablation (SMWA) of Malignant Liver Lesions: A Retrospective Analysis.

M Cathomas1, N Mertineit2, C Kim-Fuchs1, A Lachenmayer1, M H Maurer3.   

Abstract

PURPOSE: To assess the technical feasibility of MRI/CT image fusion and completeness of ablation treatment for primary or metastatic liver lesions invisible on contrast-enhanced CT planning scans and outcome in patients treated with stereotactic microwave ablation (SMWA).
MATERIALS AND METHODS: The study was approved by the local ethics committee. Patients who underwent SMWA between January 2015 and December 2018 were retrospectively analyzed. All liver lesions for which MRI/CT fusion was performed due to invisibility on pre-interventional CT planning scans were included and reassessed. The outcome measurement was successful ablation of the lesion at first follow-up imaging.
RESULTS: During the study period, 236 patients underwent 312 SMWAs with ablation of 496 lesions. Twenty-four lesions in 15 patients (mean age, 62 years; range, 43-80 years) were included. Following MRI/CT image fusion, all 24 lesions could be sufficiently localized to perform SMWA. The first follow-up imaging showed complete ablation of 22 lesions. Two initially incompletely ablated lesions were hepatocellular carcinomas and were successfully re-ablated afterwards.
CONCLUSION: SMWA with MRI/CT image fusion is an accurate and safe treatment option for patients with liver lesions not detectable on contrast-enhanced CT planning scans. MRI/CT image fusion may allow more patients with malignant liver lesions to benefit from local ablation treatment even if their lesions are not visible on CT planning examinations.

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Year:  2020        PMID: 32642989     DOI: 10.1007/s00270-020-02565-8

Source DB:  PubMed          Journal:  Cardiovasc Intervent Radiol        ISSN: 0174-1551            Impact factor:   2.740


  1 in total

1.  Stereotactic Surgery of Parkinson's Disease with Magnetic Resonance Imaging under Three-Dimensional Mark Point Positioning Algorithm.

Authors:  Yuan Jia; Zengguang Wang; Xiang Sun; Yipin Zhou
Journal:  Contrast Media Mol Imaging       Date:  2022-06-26       Impact factor: 3.009

  1 in total

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