View-Angle Tilting and Slice-Encoding Metal Artifact Correction for Artifact Reduction in MRI: Experimental Sequence Optimization for Orthopaedic Tumor Endoprostheses and Clinical Application
Коррекция металлических артефактов методом наклона угла обзора и кодирования среза: экспериментальная оптимизация последовательностей для ортопедических опухолевых эндопротезов и клиническое применение
2015-04-24
SCID: 54.1/5ffd26tf
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MRI metal artifactsorthopaedic tumor endoprosthesesperiprosthetic soft tissue abnormalitiesslice-encoding metal artifact correction (SEMAC)view-angle tilting (VAT)
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Abstract (AI)
BACKGROUND: MRI plays a major role in follow-up of patients with malignant bone tumors. However, after limb salvage surgery, orthopaedic tumor endoprostheses might cause significant metal-induced susceptibility artifacts. PURPOSES: To evaluate the benefit of view-angle tilting (VAT) and slice-encoding metal artifact correction (SEMAC) for MRI of large-sized orthopaedic tumor endoprostheses in an experimental model and to demonstrate clinical benefits for assessment of periprosthetic soft tissue abnormalities. METHODS: In an experimental setting, tumor endoprostheses (n=4) were scanned at 1.5T with three versions of optimized high-bandwidth turbo-spin-echo pulse sequences: (i) standard, (ii) VAT and (iii) combined VAT and SEMAC (VAT&SEMAC). Pulse sequences included coronal short-tau-inversion-recovery (STIR), coronal T1-weighted (w), transverse T1-w and T2-w TSE sequences. For clinical evaluation, VAT&SEMAC was compared to conventional metal artifact-reducing MR sequences (conventional MR) in n=25 patients with metal implants and clinical suspicion of tumor recurrence or infection. Diameters of artifacts were measured quantitatively. Qualitative parameters were assessed on a five-point scale (1=best, 5=worst): "image distortion", "artificial signal changes at the edges" and "diagnostic confidence". Imaging findings were correlated with pathology. T-tests and Wilcoxon-signed rank tests were used for statistical analyses. RESULTS: The true size of the prostheses was overestimated on MRI (P<0.05). A significant reduction of artifacts was achieved by VAT (P<0.001) and VAT&SEMAC (P=0.003) compared to the standard group. Quantitative scores improved in the VAT and VAT&SEMAC group (P<0.05). On clinical MR images, artifact diameters were significantly reduced in the VAT&SEMAC-group as compared with the conventional-group (P<0.001). Distortion and artificial signal changes were reduced and diagnostic confidence improved (P<0.05). In two cases, tumor-recurrence, in ten cases infection and in thirteen cases other pathologies were diagnosed. CONCLUSIONS: Significant reduction of metallic artifacts was achieved by VAT and SEMAC. Clinical results suggest, that these new techniques will be beneficial for detecting periprosthetic pathologies during postoperative follow-up.
Key Findings
1
Clinical imaging findings were correlated with pathology, and VAT&SEMAC enabled assessment of suspected periprosthetic soft-tissue abnormalities, although the abstract excerpt does not report the complete case-level results.
2
Combining VAT with slice-encoding metal artifact correction (VAT&SEMAC) reduced artifacts and improved quantitative scores compared with standard imaging (P=0.003 and P<0.05, respectively).
3
In 25 clinical patients, VAT&SEMAC significantly reduced artifact diameters versus conventional metal artifact-reducing MRI (P<0.001), while decreasing distortion and artificial edge signal changes and improving diagnostic confidence (P<0.05).
4
MRI overestimated the true size of orthopaedic tumor endoprostheses, demonstrating significant metal-induced susceptibility-related measurement error.
5
View-angle tilting (VAT) significantly reduced metal artifacts compared with standard high-bandwidth turbo-spin-echo sequences in the experimental model (P<0.001).
Research Object
large-sized orthopaedic tumor endoprostheses and their periprosthetic soft tissues in MRI
Research Subject
metal-induced susceptibility artifact reduction and improvement of image quality and diagnostic confidence using VAT and VAT&SEMAC MRI sequences
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2015-04-24
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