Abstract
To compare a modified T1-weighted 3D TSE black-blood sequence with sub-millimetre resolution (T1-mVISTA) with a magnetization-prepared rapid gradient echo (MP-RAGE) sequence for the diagnosis of cerebral malignomas. Forty-six patients with known or suspected intracranial tumours and 15 control patients were included in this retrospective study. All patients underwent T1-mVISTA (0.75-mm isotropic resolution, 4:43 min) and MP-RAGE (0.8-mm isotropic resolution, 4:46 minutes) at 3-Tesla in random order after application of contrast agent. Two experienced radiologists determined the number of lesions. Maximum diameter, diagnostic confidence (DC), visual assessment of contrast enhancement (VCE) and CNRlesion/parenchyma were assessed for each lesion. Significantly more lesions were detected with T1-mVISTA compared to the MP-RAGE (61 vs. 36;p < 0.05). Further, DC and VCE was rated significantly higher in the T1-mVISTA (p < 0.05 and p < 0.001). Mean CNRlesion/parenchyma was twofold higher for T1-mVISTA (24.2 +/- 17.5 vs. 12.7 +/- 11.5, p < 0.001). The 25 lesions detected only in T1-mVISTA were significantly smaller than those detected in both sequences (4.3 +/- 3.7 mm vs. 11.3 +/- 10.7 mm;p < 0.01). T1-mVISTA increases the contrast of lesions significantly compared to MP-RAGE and might therefore improve detection rates of small lesions in early stages of disease. aEuro cent T1-mVISTA leads to significantly higher contrast-to-noise ratios of cerebral malignomas. aEuro cent T1-mVISTA detects significantly more metastatic lesions compared to 3D-MPRAGE. aEuro cent Lesions detected only by T1-mVISTA are smaller than those detected in both sequences. aEuro cent Diagnostic confidence is significantly higher for lesions detected by T1-mVISTA. aEuro cent Application of T1-mVISTA might be of high relevance in early stages of disease.
Dokumententyp: | Zeitschriftenartikel |
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Fakultät: | Medizin |
Themengebiete: | 600 Technik, Medizin, angewandte Wissenschaften > 610 Medizin und Gesundheit |
ISSN: | 0938-7994 |
Sprache: | Englisch |
Dokumenten ID: | 46286 |
Datum der Veröffentlichung auf Open Access LMU: | 27. Apr. 2018, 08:10 |
Letzte Änderungen: | 04. Nov. 2020, 13:23 |