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1 Department of Diagnostic Radiology, Chonbuk National University Hospital and
Medical School, Jeonju, South Korea.
2 Department of Diagnostic Radiology, Seoul National University College of
Medicine and Institute of Radiation Medicine, Seoul National University
Medical School Research Center, Seoul, South Korea.
OBJECTIVE. The purpose of this study is to assess the feasibility of the application of sensitivity encoding (SENSE) to the T2-weighted breath-hold turbo spin-echo (BHTSE) sequence for evaluating focal hepatic lesions.
MATERIALS AND METHODS. Thirty consecutive patients with 43 focal liver lesions underwent BHTSE, BHTSE using SENSE with the conventional parameters, and BHTSE using SENSE with increased matrix and reduced echo-train length (ETL). There were 23 hepatocellular carcinomas in 21 patients, 10 hemangiomas in six, and 10 metastases in three. The images were compared quantitatively by measuring the signal-to-noise ratio (SNR) of the liver and the lesion and the lesionliver contrast-to-noise ratio (CNR) and qualitatively by evaluating image quality, lesion conspicuity, artifact, and lesion detectability.
RESULTS. The SNR of lesions and the lesionliver CNR were highest on BHTSE using SENSE with increased matrix and reduced ETL, which were significantly higher than conventional BHTSE (p < 0.05). In qualitative analysis, the image quality and conspicuity of malignant lesions with BHTSE using SENSE with increased matrix and reduced ETL were better than with BHTSE and BHTSE using SENSE with the conventional parameter (p < 0.05). The image artifacts were lower with two BHTSEs using SENSE than with BHTSE (p < 0.05). Lesion conspicuity of malignancy on BHTSE using SENSE with the conventional parameter was superior to those on BHTSE (p < 0.05). Although there was no significant difference in the lesion detectability among the three images, two malignant lesions were clearly depicted on BHTSE using SENSE with increased matrix and reduced ETL.
CONCLUSION. The application of SENSE to BHTSE can provide high-quality liver imaging with decreased acquisition time compared with conventional BHTSE.
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