Literature DB >> 35502393

Evaluation of liver tumor identification rate of volumetric-interpolated breath-hold images using the compressed sensing method and qualitative evaluation of tumor contrast effect via visual evaluation.

Daisuke Yoshimaru1,2, Yoich Araki3, Chifumi Matsuda3, Natsuhiko Shirota1, Yu Tajima1, Shuhei Shibukawa1,4, Katsutoshi Murata5, Dominik Nickel6, Kazuhiro Saito1.   

Abstract

Background: To evaluate the possible clinical use of the compressed sensing-volumetric-interpolated breath-hold examination (CS-VIBE) in patients with liver tumors by evaluating tumor contrast enhancement effect by radiologists.
Methods: We examined 22 patients with pathologically confirmed neoplastic lesions in the liver and 62 patients with lesions confirmed by imaging and clinical observation. To evaluate image quality, dynamic contrast-enhanced multiphase breath-hold magnetic resonance imaging was performed. The contrast agent used in this study was gadolinium-ethoxybenzyl-diethylenetriamine penta-acetic acid. Image quality was assessed by three radiologists experienced in this field. Using a four-point scale, we evaluated the gradual contrast enhancement effect of the portal vein to determine whether a decent arterial phase could be obtained. We assessed interobserver agreement using the Fleiss kappa to evaluate image quality between readers. The detection and evaluation of the tumor itself by its enhancement effects are very important in contrast studies. Thus, we evaluated the contrast enhancement effect of the tumors on a three-point scale in 26 patients already known to have hypervascularized tumors using ultrasound or computed tomography as assessed by experienced radiologists.
Results: In terms of contrast enhancement effects of the portal vein, the mean value of the readers was 1.85 in the first phase, 2.07 in the second phase, 2.66 in the third phase, 3.05 in the fourth phase, and 3.24 in the fifth phase. Moreover, the interreader agreement was moderate (kappa 0.400-0.502) for all evaluated scores. In the signal of the portal vein, the score of the second arterial phase increased gradually, and in the third arterial phase, the mean score varied from 2 to 3. Compared with ultrasound or computed tomography, CS-VIBE identified 92.3% tumors with hypervascularized tumors (24 of 26 patients with findings hypervascularized tumors). In the results, the interreader agreement was fair to moderate (kappa 0.414-0.521). Conclusions: We obtained multiphase images, including at least one phase, which are useful for the evaluation of liver tumors. Furthermore, the radiologist was able to detect the tumor as before. Therefore, compressed sensing-volumetric-interpolated breath-hold examination is clinically useful in Ethoxybenzyl liver studies. 2022 Quantitative Imaging in Medicine and Surgery. All rights reserved.

Entities:  

Keywords:  Compressed sensing; Gd-EOB-DTPA; intraindividual comparison; liver tumor

Year:  2022        PMID: 35502393      PMCID: PMC9014150          DOI: 10.21037/qims-21-850

Source DB:  PubMed          Journal:  Quant Imaging Med Surg        ISSN: 2223-4306


  12 in total

Review 1.  Compressed sensing for bioelectric signals: a review.

Authors:  Darren Craven; Brian McGinley; Liam Kilmartin; Martin Glavin; Edward Jones
Journal:  IEEE J Biomed Health Inform       Date:  2014-05-29       Impact factor: 5.772

Review 2.  Recent advances in parallel imaging for MRI.

Authors:  Jesse Hamilton; Dominique Franson; Nicole Seiberlich
Journal:  Prog Nucl Magn Reson Spectrosc       Date:  2017-05-02       Impact factor: 9.795

3.  Optimal scanning protocol of arterial dominant phase for hypervascular hepatocellular carcinoma with gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid-enhanced MR.

Authors:  Yuki Kagawa; Masahiro Okada; Seishi Kumano; Takashi Katsube; Izumi Imaoka; Noboru Tanigawa; Kazunari Ishii; Masatoshi Kudo; Takamichi Murakami
Journal:  J Magn Reson Imaging       Date:  2011-04       Impact factor: 4.813

Review 4.  2017 Version of LI-RADS for CT and MR Imaging: An Update.

Authors:  Khaled M Elsayes; Jonathan C Hooker; Michelle M Agrons; Ania Z Kielar; An Tang; Kathryn J Fowler; Victoria Chernyak; Mustafa R Bashir; Yuko Kono; Richard K Do; Donald G Mitchell; Aya Kamaya; Elizabeth M Hecht; Claude B Sirlin
Journal:  Radiographics       Date:  2017 Nov-Dec       Impact factor: 5.333

5.  Compressed Sensing and Parallel Imaging for Double Hepatic Arterial Phase Acquisition in Gadoxetate-Enhanced Dynamic Liver Magnetic Resonance Imaging.

Authors:  Ja Kyung Yoon; Myeong-Jin Kim; Sunyoung Lee
Journal:  Invest Radiol       Date:  2019-06       Impact factor: 6.016

6.  Effect of Gadoxetic Acid Injection Duration on Tumor Enhancement in Arterial Phase Liver MRI.

Authors:  Takahiro Tsuboyama; Gregor Jost; Hubertus Pietsch; Noriyuki Tomiyama
Journal:  Acad Radiol       Date:  2019-11-28       Impact factor: 3.173

7.  Evaluation of abdominal hemodynamics through compressed sensing accelerated functional imaging.

Authors:  Daisuke Yoshimaru; Yoichi Araki; Chifumi Maruyama; Natsuhiko Shirota; Yu Tajima; Katsutoshi Murata; Dominik Nickel; Kazuhiro Saito
Journal:  Magn Reson Imaging       Date:  2020-09-02       Impact factor: 2.546

8.  Comparison of Sonazoid contrast-enhanced ultrasound and gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid MRI for the histological diagnosis of hepatocellular carcinoma.

Authors:  Feiqian Wang; Kazushi Numata; Masahiro Okada; Makoto Chuma; Hiromi Nihonmatsu; Satoshi Moriya; Akito Nozaki; Katsuaki Ogushi; Wen Luo; Litao Ruan; Masayuki Nakano; Masako Otani; Yoshiaki Inayama; Shin Maeda
Journal:  Quant Imaging Med Surg       Date:  2021-06

9.  Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors.

Authors:  Yunan Wu; Gregory M White; Tyler Cornelius; Indraneel Gowdar; Mohammad H Ansari; Mark P Supanich; Jie Deng
Journal:  Ann Transl Med       Date:  2020-06

10.  A novel computer-aided diagnostic system for accurate detection and grading of liver tumors.

Authors:  Ahmed Alksas; Mohamed Shehata; Gehad A Saleh; Ahmed Shaffie; Ahmed Soliman; Mohammed Ghazal; Adel Khelifi; Hadil Abu Khalifeh; Ahmed Abdel Razek; Guruprasad A Giridharan; Ayman El-Baz
Journal:  Sci Rep       Date:  2021-06-23       Impact factor: 4.379

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