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AJR 2005; 184:497-504
© American Roentgen Ray Society

Feasibility of Application of Sensitivity Encoding to the Breath-Hold T2-Weighted Turbo Spin-Echo Sequence for Evaluation of Focal Hepatic Tumors

Young Kon Kim1, Chong Soo Kim1, Gyung Ho Chung1, Su Bin Jeon1 and Jeong Min Lee2

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.

Received February 27, 2004; accepted after revision July 14, 2004.

 
Address correspondence to J. M. Lee.


Abstract
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
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 lesion–liver contrast-to-noise ratio (CNR) and qualitatively by evaluating image quality, lesion conspicuity, artifact, and lesion detectability.

RESULTS. The SNR of lesions and the lesion–liver 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.


Introduction
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Despite the development of MRI contrast agents, including gadolinium-based agents and liver-targeted agents, T2-weighted MR images still are considered to be an important part of routine liver MRI for the detection and characterization of focal liver lesions [13]. Numerous comparative studies were performed to determine the best T2-weighted images with a shorter image acquisition time and to preserve high image quality with less artifact [48]. Breath-hold turbo spin-echo (BHTSE) or fast spin-echo techniques are the usual T2-weighted sequences as they offer high image quality with minimal artifact in a shorter acquisition time compared with conventional spin-echo imaging [5, 6]. However, even with the rapid recent development of MRI technologies, to obtain T2-weighted images covering the liver using BHTSE requires 25–30 sec, which is not easy for a single breath-hold. Given that many patients who are referred for liver MRI are elderly and/or cirrhotic patients with ascites, obtaining T2-weighted liver images during one breath-hold is not possible. Therefore, limiting the number of slices and section thickness by the length of the breath-hold period offers lower-resolution imaging of the breath-hold T2-weighted sequence, which might otherwise be a weak point in the detection of small liver lesions. There have been several strategies to increase the speed of image acquisition for T2-weighted turbo spin-echo (TSE) images, including the use of high echo-train length (ETL), high bandwidth, and partial Fourier acquisition [911]. However, those techniques have the trade-offs of decreased signal-to-noise ratio (SNR) and/or increased magnetization transfer effect, both of which can decrease the detection rates of malignant hepatic tumors [1214].

Recently, parallel acquisition techniques, such as sensitivity encoding (SENSE) and the simultaneous acquisition of spatial harmonics (SMASH), were introduced as methods to reduce scanning time with respect to standard Fourier imaging by means of arrays of multiple receiver coils, with a resultant decrease in the number of measured echoes [1518]. This increased speed of image acquisition by application of the parallel acquisition technique has the potential for the acquisition of high-quality liver imaging with reduced-motion artifact and can provide increased spatial resolution and higher lesion conspicuity while maintaining reasonable imaging times. In other words, the parallel acquisition technique can overcome the drawbacks of routine liver MRI. There have been many studies regarding the usefulness of SENSE and SMASH applied to real-time cardiac imaging [19, 20], brain functional MRI [21], and 3D-contrast-enhanced MR angiography [22]. However, application of the parallel acquisition technique to liver MRI has been limited, and to our knowledge, there have been no comparative studies of a T2-weighted fast spin-echo sequence with and without a parallel acquisition technique.

In this study, we applied SENSE to the BHTSE T2-weighted sequence. To assess the feasibility of the parallel acquisition technique in T2-weighted liver imaging, we compared the BHTSE T2-weighted images with and without the parallel acquisition technique, both quantitatively and qualitatively.


Materials and Methods
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Between November 2002 and January 2004, 34 consecutive patients suspected of having focal liver lesions from previously performed sonography or dynamic helical CT were included in this study. Four patients were excluded from the study for the following reasons: poor cooperation in breath-holding and motion restriction during MRI examination in two patients who were aged and suffered from dementia; and poor breath-holding and nonvisualization of focal liver lesions on MRI examination in two patients with advanced liver cirrhosis and a large amount of ascites. Therefore, in those four patients, acceptable quality MR images could not be obtained. The remaining 30 patients (17 men, 13 women; mean age, 55 years) were enrolled in this study. Written informed consent was obtained from each patient before he or she was entered into the study, and the study was approved by the institutional review board of our hospital.

A total of 43 lesions (size range, 0.5–7 cm; mean, 2.8 cm) in 30 patients was included in this study: 23 hepatocellular carcinomas in 21 patients (size range, 0.5–7 cm; mean, 3.2 cm); 10 hemangiomas in six patients (size range, 0.8–5 cm; mean, 2.3 cm); and 10 metastases in three patients (colon cancer, n = 2; breast cancer, n = 1) (size range, 0.8–4.5 cm; mean, 2.3 cm). Confirmation of these hepatocellular carcinomas was made by surgical biopsy in eight patients, and by core needle biopsy in eight and was based in the remaining five patients on a combination of the clinical and radiologic findings, including characteristic findings of hepatocellular carcinomas on angiography and on iodized oil–enhanced CT scans after transcatheter arterial chemoembolization with 3 months or more of follow-up and from an elevated serum {alpha}-fetoprotein level. Metastases were confirmed by core needle biopsy in all patients, but only one lesion was biopsied in patients with multiple metastases. Confirmation of a hemangioma was based on the typical imaging findings of hemangioma on dynamic MRI or dynamic CT scan: peripheral globular enhancement with progressive partial or complete fill-in during dynamic studies of the clinical and laboratory findings or no change on at least the 6-month follow-up imaging.

Determination of the total number of malignant hepatic masses was made by iodized oil–enhanced CT in 14 hepatocellular carcinomas in 12 patients referred for transcatheter arterial chemoembolization, on intraoperative sonography in eight hepatocellular carcinomas in eight patients referred for surgery, and on follow-up contrast-enhanced CT for at least 5 months in the other patients with hepatocellular carcinomas or metastases. Determination of the total number of hemangiomas was based on the reviewers' consensus reading of the MRI images, including the precontrast T1- and T2-weighted images, the superpramagnetic oxide-enhanced T2-weighted images, and the gadolinium-enhanced dynamic images.

MRI
All MRI was performed on a 1.5-T superconducting imager (Magnetom Symphony, Siemens) with a phased-array body coil for signal reception. All images were obtained in the axial plane. Three kinds of T2-weighted images were acquired using the following techniques: conventional BHTSE image, BHTSE image with application of the SENSE (factor 2) with the same imaging parameters (matrix number and ETL) as conventional BHTSE, and BHTSE image with application of SENSE with increased phase-encoding steps and reduced ETL relative to conventional BHTSE. The three kinds of T2-weighted sequences were run in the same order and were not randomized.

All images were acquired using the same field of view (32–33 cm), with a 7-mm section thickness, and a 3-mm intersection gap. The parameters for conventional BHTSE imaging were as follows: TR/TE, 4,200/102; ETL, 29; receiver bandwidth, 254 Hz/pixel; matrix size, 256 (frequency) x 144 (phase); and 15 sections acquired in 25 sec. The parameters for BHTSE using SENSE with conventional parameters were as follows: 3,180/102; ETL, 29; receiver bandwidth, 254 Hz/pixel; matrix size, 256 (frequency) x 144 (phase); and 16-sec image acquisition time. The parameters for BHTSE using SENSE with increased phase-encoding steps and reduced ETL compared with conventional BHTSE were as follows: 2,700/102; ETL, 19; receiver bandwidth, 254 Hz/pixel; matrix size, 256 (frequency) x 173 (phase); and 19-sec image acquisition time.

Image Analysis
Quantitative analysis.—Quantitative image analysis was performed by measuring the liver signal intensity, tumor signal intensity, and the SD of background noise using operator-defined regions of interest (ROIs) for each image by an abdominal radiologist who did not participate in the qualitative image analysis. For measurements within the lesion, the ROI was positioned manually as much as possible to avoid the necrotic foci. For hepatic lesions too small for placement of an ROI, the image was magnified as much as three to four times. For signal intensities of the liver, ROIs were drawn in the same location as each sequence, devoid of a large intrahepatic vessel. The SD of background noise was measured along the phase-encoding direction outside the body just ventral to the right anterior abdominal wall and included respiratory- or motion-related artifacts. The shape and size of the ROI were identical for all images as far as was possible. The SNR of the liver and lesion and the liver–lesion contrast-to-noise ratio (CNR) were calculated from the signal intensity of the liver and lesion, and the SD of the background noise according to the following formulas:

(1)

(2)

Qualitative analysis.—All images were evaluated jointly by two gastrointestinal radiologists experienced in interpreting MR liver imaging in their daily clinical practice. Qualitative image analysis was performed separately and independently with quantitative measurements. The two observers did not have any other information about the patients' histories, laboratory results, findings of other imaging techniques, or final diagnosis or regarding the design of the present study. To minimize any learning bias, we set the intervals of reviewing the three images—that is, conventional BHTSE, BHTSE with SENSE, and BHTSE with SENSE using increased phase encoding steps and reduced ETL—at 3 weeks. Discrepancies of interpretation were resolved by means of a consensus reading. Two observers subjectively rated each sequence for overall image quality, lesion conspicuity, and artifacts. To avoid a learning bias, review of each image was done in a randomized, blinded fashion. Overall image quality and lesion conspicuity were based on the following five grading scales: unacceptable = 1; poor = 2; fair = 3; good = 4; and excellent = 5. The presence of artifacts was rated using the following four grading scales: 1, absent; 2, mild; 3, moderate; and 4, severe. For the lesion detectability of each image, the true number and location of the lesions on each image were evaluated by comparing them to the standard-of-reference findings such as iodized oil CT, intraoperative sonography findings, follow-up CT, and contrast-enhanced MRI. A matched-pair analysis was performed to verify which of the lesions detected on one image coincided with those observed on the other images.

Statistical analysis.—The statistical significance of the quantitative data for SNR of the liver parenchyma and lesions and the lesion–liver CNR were determined using the repeated measures analysis of variance test, and the differences between the groups were compared using the Tukey-Kramer multiple comparisons test. In addition, the statistical significance of the qualitative data for image quality, lesion conspicuity, and artifact was determined using the Friedman test. The lesion detectability of each image was compared using the McNemar test. A p value of less than 0.05 was considered statistically significant. The statistical analyses were performed using SPSS 8.0 computer software (Statistical Package for the Social Sciences).


Results
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
The quantitative results for the mean SNR of liver parenchyma and lesions and the liver–lesion CNR with each image are shown in Table 1. The SNR of the liver parenchyma and lesions and lesion–liver CNR were highest with BHTSE using SENSE with increased matrix and reduced ETL; they were lowest with conventional BHTSE. The SNR of lesions and lesion–liver CNR on BHTSE using SENSE with increased matrix and reduced ETL were usually significantly higher than those of conventional BHTSE in both malignancy and hemangioma (SNR of malignancy, 15.3 ± 4.9 [SD] vs 13.6 ± 5.2; SNR of hemangioma, 28.6 ± 5.8 vs 24.6 ± 7.5; lesion–liver CNR in malignancy, 7.2 ± 3.6 vs 5.7 ± 3.8; in hemangioma, 21.8 ± 7.4 vs 16.8 ± 4.9) (p < 0.05). There was no statistical difference in the quantitative results between BHTSE using SENSE with increased matrix and reduced ETL and BHTSE using SENSE with conventional parameters, or between conventional BHTSE and BHTSE using SENSE with conventional parameters.


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TABLE 1 Results of Quantitative Analysis of Breath-Hold Turbo Spin-Echo T2-Weighted Sequence With and Without Sensivity Encoding (SENSE)

 

The results of the qualitative analysis are shown in Table 2. The image quality of BHTSE using SENSE with increased matrix and reduced ETL was significantly better than that on BHTSE using SENSE with conventional parameters and conventional BHTSE (3.5 ± 0.5 vs 3.3 ± 0.5, 3.2 ± 0.5). Although lesion conspicuity of liver malignancy was significantly better on BHTSE using SENSE with increased matrix and reduced ETL (3.6 ± 0.5) (p < 0.05) than on BHTSE using SENSE with conventional parameters (3.4 ± 0.5) and conventional BHTSE (3.1 ± 0.6) (Fig. 1A, 1B, 1C), no significant difference among the three images was found in cases of hemangiomas (Fig. 2A, 2B, 2C). In addition, a significant difference in lesion conspicuity of malignancy was found between conventional BHTSE and BHTSE using SENSE with conventional parameters (p < 0.05).


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TABLE 2 Results of Qualitative Analysis of Breath-Hold Turbo Spin-Echo T2-Weighted Sequence With and Without Sensivity Encoding (SENSE)

 


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Fig. 1A. 52-year-old man with liver metastases. Breath-hold turbo spin-echo (BHTSE) T2-weighted image shows suspicious focal lesion in right hepatic lobe (arrow).

 


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Fig. 1B. 52-year-old man with liver metastases. BHTSE T2-weighted image with sensitivity encoding (SENSE) using same parameters as A shows suspicious lesion in right hepatic lobe (arrow).

 


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Fig. 1C. 52-year-old man with liver metastases. BHTSE T2-weighted image with SENSE using increased matrix and reduced echotrain length shows definitive mild increase in signal intensity of lesion (arrow).

 


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Fig. 2A. 40-year-old-woman with hepatic hemangioma. Breath-hold turbo spin-echo (BHTSE) T2-weighted image shows bright high signal intensity of lesion (arrow) in liver segment V. Motion artifact and marginal blurring of liver lesion are noted.

 


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Fig. 2B. 40-year-old-woman with hepatic hemangioma. BHTSE T2-weighted image with sensitivity encoding (SENSE) using same parameters as A shows bright high signal intensity of the lesion (arrow) with similar contrast as in A. Motion artifact and marginal blurring of lesion are reduced compared with A.

 


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Fig. 2C. 40-year-old-woman with hepatic hemangioma. BHTSE T2-weighted image with SENSE using increased matrix and reduced echotrain length shows bright high signal intensity of lesion (arrow) with similar contrast to A and B. Motion artifact and marginal blurring of lesion are reduced compared with A.

 

The image artifacts were lower with BHTSE using SENSE with conventional parameters (2.1 ± 0.4) than on BHTSE using SENSE with increased matrix and reduced ETL (2.2 ± 0.5) and BHTSE (2.6 ± 0.5) (p < 0.05) (Fig. 3A, 3B, 3C). In four patients with liver cirrhosis and hepatocellular carcinomas who had poor breath-holding capability, severe image artifacts (rating scale 4) were noted on conventional BHTSE, but these artifacts were markedly reduced on two kinds of BHTSE with SENSE showing mild image artifacts (rating scale 1–2). There was no significant difference in the lesion detectability among the three kinds of images. However, there were two small hepatic masses—one hepatocellular carcinoma and one metastasis in two patients—that were depicted clearly only on BHTSE using SENSE with increased matrix and reduced ETL rather than on the two other images (Fig. 4A, 4B, 4C).



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Fig. 3A. 61-year-old man with hepatocellular carcinoma. Breath-hold turbo spin-echo (BHTSE) T2-weighted image shows heterogeneous mildly increased signal intensity of mass (arrows) in the hepatic dome. Marked motion artifacts are noted.

 


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Fig. 3B. 61-year-old man with hepatocellular carcinoma. BHTSE T2-weighted image with sensitivity encoding (SENSE) using same parameters as A shows increased resolution of hepatic mass (arrows) compared with A. Motion artifacts are still present but reduced compared with A.

 


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Fig. 3C. 61-year-old man with hepatocellular carcinoma. BHTSE T2-weighted image with SENSE using increased matrix and reduced echo-train length shows hepatic mass (arrows) with highest contrast among three images. Motion artifacts are still present but are reduced compared with A.

 


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Fig. 4A. 44-year-old man with multiple hepatocellular carcinomas. Breath-hold turbo spin-echo (BHTSE) T2-weighted image shows multiple mildly increased signal intensity of masses (arrows). But small masses are not definitive because of lower contrast and motion artifact.

 


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Fig. 4B. 44-year-old man with multiple hepatocellular carcinomas. BHTSE T2-weighted image with sensitivity encoding (SENSE) using same parameters as A shows multiple mildly increased signal intensity of masses (arrows). Small mass is shown more clearly than in A. Motion artifacts are reduced compared with A.

 


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Fig. 4C. 44-year-old man with multiple hepatocellular carcinomas. BHTSE T2-weighted image with SENSE using increased matrix and reduced echotrain length shows multiple mildly increased signal intensity of masses (arrows) with highest contrast and resolution of the three images.

 


Discussion
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 
Although T2-weighted MRI plays an important role in the detection and characterization of focal liver lesions [13], lengthy examination times relative to widely used CT and physiologic motion artifact limits their use as an effective screening method for focal liver lesions [5, 23]. On the basis of these backgrounds, Coulam et al. [24] suggested that routine acquisition of unenhanced T1- and T2-weighted imaging could be eliminated without substantially affecting the diagnostic accuracy for focal liver lesions by using only contrast-enhanced dynamic MRI. A number of methods have been proposed to overcome motion artifact and the long acquisition time of T2-weighted images while preserving comparable image quality, but there is still controversy regarding which technique is most appropriate for T2-weighted imaging [2428].

BHTSE or fast spin-echo techniques are the most widely used T2-weighted images because of their short acquisition time, comparable image quality, and diagnostic performance to non–breath-hold techniques such as conventional spin-echo or respiratory-triggered TSE [59]. However, the relatively long breath-holding time of BHTSE frequently brings about motion artifact that obscures hepatic lesions, whereas the use of multiple refocusing pulses causes signal decrease in solid liver tumors because of the magnetization transfer effect; the resulting low conspicuity of malignant liver tumors is thus still problematic. Furthermore, limiting the number of sections by multiple echo trains for short image acquisition times may necessitate multiple acquisitions of BHTSE images.

In our study, we hypothesized that with application of SENSE to BHTSE, the quality of BHTSE imaging could be improved in two ways. First, it can decrease imaging acquisition time and thereby result in reduced motion artifacts. Second, it can be used for improved spatial resolution with increasing matrix number by trade of reduced scanning time and/or decreased ETL for improved conspicuity of solid liver lesion while still maintaining reasonable imaging times. To test this hypothesis, we acquired two kinds of BHTSE by applying the parallel acquisition technique—that is, one kind by applying SENSE using the same parameters as conventional BHTSE imaging and the other type by applying SENSE with an increased matrix and reduced ETL for improvement of image quality.

Theoretically, by reducing the number of measured echoes and the nonoptimum weighting of the array coil elements, the SNR in SENSE or SMASH images is decreased according to the square root of the acquisition time and is inversely proportional to the square root of the reduction factor [16]. However, our study results showed that the mean SNR of liver and lesion and the mean lesion–liver CNR in BHTSE using SENSE with the same parameters as the conventional ones were slightly higher than in conventional BHTSE but with no significant difference. Although we could not exactly explain the cause of the unexpected results of our quantitative analysis, as our study results of image artifact show, the increased mean SNR of the liver and the lesion could be attributed to the decrease of image noise related to the lower motion artifact by decreasing the image acquisition time (from 25 to 16 sec) [29]. Particularly in four of our study patients who were unable to achieve long breath-holds, acquiring BHTSE images with SENSE offered better image quality with minimal motion artifact than did conventional BHTSE imaging showing a severe motion artifact that masked the liver lesions. These better results of the quantitative data in terms of lesion–liver CNR and markedly reduced image artifact on BHTSE using SENSE with conventional parameters relative to conventional BHTSE enabled us to rate higher conspicuity of malignancy on BHTSE with SENSE than on conventional BHTSE.

For evaluation of focal liver lesions, spatial resolution and tissue contrast also are important factors along with the image artifacts. In this regard, we acquired BHTSE with SENSE, having increased the phase-encoding steps for spatial resolution and having decreased the ETL for decreasing magnetization transfer in a shorter acquisition time (from 25 to 19 sec) compared with conventional BHTSE. In this study, the quantitative results showed that the SNR of the hepatic lesions and lesion–liver CNR in both malignant lesions and hemangiomas, with BHTSE using SENSE with increased phase-encoding steps and reduced ETL, were significantly better than those with conventional BHTSE. In addition, the results of the qualitative analysis regarding image quality and lesion conspicuity of malignancy on BHTSE using SENSE with increased phase-encoding steps and reduced ETL were significantly better than those of BHTSE using SENSE with conventional parameters and conventional BHTSE. Improvement of image quality on BHTSE using the parallel acquisition technique relative to conventional BHTSE is most likely due to the decreased prominence of motion artifacts because of the decreased breath-hold time and decreased blurring by the increased matrix. Furthermore, use of a lower ETL decreases the magnetization transfer effects that lower the signal intensity of malignant liver lesions and result in the achievement of higher conspicuity in malignant liver lesions.

In our study, although there was no significant difference in lesion detectability among the three imaging techniques, two small hepatic masses—one hepatocellular carcinoma with a 0.9-cm diameter and one metastasis with a 0.8-cm diameter—in two patients, were only clearly depicted on BHTSE using SENSE with increased matrix and reduced ETL compared with the other images. When we retrospectively analyzed the MR images of two patients, missed small lesions were shown as faintly increased signal intensities in both BHTSE using SENSE with conventional parameters and BHTSE that were not definitive as in BHTSE using SENSE with increased matrix and reduced ETL.

Our study had some limitations. First, histologic proofs were not acquired in all lesions. Second, because the total number of tumors was small and the majority of the tumors were relatively large (size range of detected lesions, 0.8–7 cm; mean, 2.9 cm in diameter), a precise comparison study of the lesion detectability of each image technique was not made. Third, the decreased image-acquisition time by application of the parallel acquisition technique was only used for increased resolution of the in-plane and not the through-plane for thinner slice thickness, which is an effective way to improve the detection rate of focal liver lesions [30]. Lastly, the order for acquisition of the three types of BHTSE was the same in all of our study subjects, and this might be biased because the ability to achieve a long breath-hold might be improved by its repetition from the initial conventional BHTSE to the last BHTSE using SENSE with increased matrix and reduced ETL.

Our study results indicate that the application of SENSE to BHTSE makes it possible to acquire BHTSE imaging with better image quality with markedly reduced motion artifact in a shorter imaging acquisition time. Furthermore, BHTSE using SENSE with increased matrix and reduced ETL showed better results in both quantitative and qualitative analysis compared with conventional BHTSE and BHTSE using SENSE with conventional parameters. However, it is certain that T2-weighted liver imaging alone without contrast-enhanced imaging, even though high-quality images were acquired, is limited in accurate lesion characterization and detection. The primary intent of this study is not to show the potential of T2-weighted imaging to replace contrast-enhanced liver imaging but only to show the technique for acquiring T2-weighted images with better image quality than conventional images. Therefore, we recommend routine use of SENSE for acquisition of BHTSE, especially in patients who cannot tolerate gadolinium-enhanced dynamic liver imaging, because it might be helpful for the accurate evaluation of focal liver lesions. To conclude, we found the application of SENSE to BHTSE to be useful for acquiring high-quality T2-weighted liver imaging compared with conventional BHTSE.


References
Top
Abstract
Introduction
Materials and Methods
Results
Discussion
References
 

  1. Foley WD, Kneeland JB, Cates JD, et al. Contrast optimization for the detection of focal hepatic lesions by MR imaging. AJR 1987;149:1155 –1160[Abstract/Free Full Text]
  2. Reinig JW, Dweyer AJ, Miller DL, Frank JA, Adams GW, Chang AE. Liver metastases: detection with MR imaging at 0.5 and 1.5 T. Radiology1989; 170:149 –153[Abstract/Free Full Text]
  3. Wittenberg J, Stark DD, Forman BH, et al. Differentiation of hepatic metastases from hepatic hemangiomas and cysts by using MR imaging. AJR 1988;151:79 –84[Abstract/Free Full Text]
  4. Lu DSK, Saini S, Hahn PF, et al. T2-weighted MR imaging of the upper part of the abdomen: should fat suppression be used routinely? AJR 1994; 162:1095 –1100[Abstract/Free Full Text]
  5. Schwartz LH, Seltzer SE, Tempany CMC, et al. Prospective comparison of T2-weighted fast spin-echo, with and without fat suppression, and conventional spin-echo pulse sequences in the upper abdomen. Radiology1993; 189:411 –416[Abstract/Free Full Text]
  6. Rydberg JN, Lomas DJ, Coakley KJ, Hough DM, Ehman RL, Riederer SJ. Comparison of breath-hold fast spin-echo and conventional spin-echo pulse sequences for T2-weighted MR imaging of liver lesions. Radiology1995; 194:431 –437[Abstract/Free Full Text]
  7. Soyer P, Normand SL, Givry SC, Gueye C, Somveille E, Scherrer A. T2-weighted spin-echo MR imaging of the liver: breath-hold fast spin-echo versus non-breath-hold fast spin-echo images with and without fat suppression. AJR 1996; 166:593 –597[Abstract/Free Full Text]
  8. Gaa J, Hatabu H, Jenkins RL, Finn JP, Edelman RR. Liver masses: replacement of conventional T2-weighted spin-echo MR imaging with breath-hold MR imaging. Radiology1996; 200:459 –464[Abstract/Free Full Text]
  9. Tang Y, Yamashita Y, Namimoto T, Abe Y, Takahashi M. Liver T2-weighted MR imaging: comparison of fast and conventional half-Fourier single-shot turbo spin-echo, breath-hold turbo spin-echo, and respiratory-triggered turbo spin-echo sequence. Radiology1997; 203:766 –772[Abstract/Free Full Text]
  10. Yamashita Y, Tang Y, Namimoto T, Mitsuzaki K, Takahashi M. MR imaging of the liver: comparison between single-shot echo-planar and half-Fourier rapid acquisition with relaxation enhancement sequences. Radiology1998; 207:331 –337[Abstract/Free Full Text]
  11. Keogan MT, Edelman RR. Technologic advances in abdominal MR imaging. Radiology2001; 220:310 –320[Abstract/Free Full Text]
  12. Outwater EK, Mitchell DG, Vinitski S. Abdominal MR imaging: evaluation of a fast spin-echo sequence. Radiology1994; 190:425 –429[Abstract/Free Full Text]
  13. Outwater E, Schnall MD, Braitman LE, Dinsmore BJ, Kressel HY. Magnetization transfer of hepatic lesions: evaluation of a novel contrast technique in the abdomen. Radiology1992; 182:535 –540[Abstract/Free Full Text]
  14. Mitchell DG. Fast MR imaging techniques: impact in the abdomen. J Magn Reson Imaging1996; 6:812 –821[Medline]
  15. Madore B, Pelc NJ. SMASH and SENSE: experimental and numerical comparisons. Magn Reson Med2001; 45:1103 –1111[Medline]
  16. Pruessmann KP, Weiger M, Scheidegger MB, Boesiger P. SENSE: sensitivity encoding for fast MRI. Magn Reson Med1999; 42:952 –962[Medline]
  17. Sodickson DK, Griswold MA, Jakob PM. SMASH imaging. Magn Reson Imaging Clin N Am 1999;7 : 237–254[Medline]
  18. Weiger M, Pruessmann KP, Boesiger P. 2D SENSE for fast 3D MRI. MAGMA 2002;14:10 –19
  19. Weiger M, Pruessmann KP, Boesiger P. Cardiac real-time imaging using SENSE. Magn Reson Med2000; 43:177 –184[Medline]
  20. Pruessmann KP, Weiger M, Boesiger P. Sensitivity encoded cardiac MRI. J Cardiovasc Magn Reson2001; 3:1 –9[Medline]
  21. Golay X, Pruessmann KP, Weiger M, et al. PRESTO-SENSE: an ultrafast whole-brain fMRI technique. Magn Reson Med2000; 43:779 –786[Medline]
  22. Weiger M, Pruessmann KP, Kassner A, et al. Contrast-enhanced 3D MRA using SENSE. J Magn Reson Imaging2000; 12:671 –677[Medline]
  23. Reining JW. Breath-hold fast spin-echo MR imaging of the liver: a technique for high-quality T2-weighted images. Radiology1995; 194:303 –304[Free Full Text]
  24. Coulam CH, Chan FP, Li KCP. Can a multiphasic contrast-enhanced three-dimensional fast spoiled gradient-recalled echo sequence be sufficient for liver MR imaging? AJR2002; 178:335 –341[Abstract/Free Full Text]
  25. Bailes DR, Gilderdale DJ, Bydder GM, Collins AG, Firmin DM. Respiratory ordered phase encoding (ROPE): a method for reducing respiratory motion artefacts in MR imaging. J Comput Assist Tomogr1985; 9:835 –838[Medline]
  26. Pattany PM, Phillips JJ, Chiu LC, et al. Motion artifact suppression technique (MAST) for MR imaging. J Comput Assist Tomogr 1987;11:369 –377[Medline]
  27. Lewis CE, Prato FS, Drost DJ, Nicholson RL. Comparison of respiratory triggering and gating techniques for the removal of respiratory artifacts in MR imaging. Radiology1986; 160:803 –810[Abstract/Free Full Text]
  28. Sachs TS, Meyer CH, Hu BS, Kuhli J, Nishimura DG, Macovski A. Real-time motion detection in spiral MRI using navigators. Magn Reson Med 1994;32:639 –645[Medline]
  29. Butts K, Riederer SJ, Ehman RL. The effect of respiration on the contrast and sharpness of liver lesions in MRI. Magn Reson Med 1995;33:1 –7[Medline]
  30. Weg N, Scheer MR, Gabor MP. Liver lesions: improved detection with dual-detector-array CT and routine 2.5-mm thin collimation. Radiology 1998;209 : 417–426[Abstract/Free Full Text]

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B. S. Kim, J. H. Kim, G. M. Choi, S. H. Kim, J. K. Park, B.-C. Song, and W. Kang
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