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Cited by in CrossRef
Number Cited Articles
1
Zhuhuang Zhou, Jui Fang, Anca Cristea, Ying-Hsiu Lin, Yu-Wei Tsai, Yung-Liang Wan, Kee-Min Yeow, Ming-Chih Ho, Po-Hsiang Tsui. Value of homodyned K distribution in ultrasound parametric imaging of hepatic steatosis: An animal studyUltrasonics 2020; 101: 106001 doi: 10.1016/j.ultras.2019.106001
2
Kee-Huat Chuah, Wah-Kheong Chan. Quantification of Liver Fat in NAFLD: Available Modalities and Clinical SignificanceCurrent Hepatology Reports 2019; 18(4): 492 doi: 10.1007/s11901-019-00493-x
3
Jee-Young Son, Jae Young Lee, Nam-Joon Yi, Kwang-Woong Lee, Kyung-Suk Suh, Kwang Gi Kim, Jeong Min Lee, Joon Koo Han, Byung Ihn Choi. Hepatic Steatosis: Assessment with Acoustic Structure Quantification of US ImagingRadiology 2016; 278(1): 257 doi: 10.1148/radiol.2015141779
4
Josilda Ferreira Cruz, Mário Augusto Ferreira Cruz, José Machado Neto, Demetrius Silva de Santana, Cristiane Costa da Cunha Oliveira, Sônia Oliveira Lima. Prevalence and sonographic changes compatible with fatty liver disease in patients referred for abdominal ultrasound examination in Aracaju, SERadiologia Brasileira 2016; 49(1): 1 doi: 10.1590/0100-3984.2014.0124
5
Dong Ho Lee, Jae Young Lee, Min Sun Park, Joon Koo Han. Non-invasive monitoring of hepatic steatosis via acoustic structure quantification of ultrasonography with MR spectroscopy as the reference standardUltrasonography 2020; 39(1): 70 doi: 10.14366/usg.19002
6
Sun Jung Rhee, Hyun Sook Hong, Chul-Hee Kim, Eun Hye Lee, Jang Gyu Cha, Sun Hye Jeong. Using Acoustic Structure Quantification During B-Mode Sonography for Evaluation of Hashimoto ThyroiditisJournal of Ultrasound in Medicine 2015; 34(12): 2237 doi: 10.7863/ultra.14.11077
7
Ji Ye Lee, Hyun Sook Hong, Chul-Hee Kim. Prognostic value of acoustic structure quantification in patients with Hashimoto’s thyroiditisEuropean Radiology 2019; 29(11): 5971 doi: 10.1007/s00330-019-06174-z
8
Ying-Hsiu Lin, Yung-Liang Wan, Dar-In Tai, Jeng-Hwei Tseng, Chiao-Yin Wang, Yu-Wei Tsai, Yi-Ru Lin, Tu-Yung Chang, Po-Hsiang Tsui. Considerations of Ultrasound Scanning Approaches in Non-alcoholic Fatty Liver Disease Assessment through Acoustic Structure QuantificationUltrasound in Medicine & Biology 2019; 45(8): 1955 doi: 10.1016/j.ultrasmedbio.2019.04.018
9
Xiang-Wei Hua, Tian-Fei Lu, Da-Wei Li, Wei-Gang Wang, Jun Li, Zhen-Ze Liu, Wei-Wei Lin, Jian-Jun Zhang, Qiang Xia. Contrast-enhanced micro-computed tomography using ExiTron nano6000 for assessment of liver injuryWorld Journal of Gastroenterology 2015; 21(26): 8043-8051 doi: 10.3748/wjg.v21.i26.8043
10
Zhuhuang Zhou, Dar-In Tai, Yung-Liang Wan, Jeng-Hwei Tseng, Yi-Ru Lin, Shuicai Wu, Kuen-Cheh Yang, Yin-Yin Liao, Chih-Kuang Yeh, Po-Hsiang Tsui. Hepatic Steatosis Assessment with Ultrasound Small-Window Entropy ImagingUltrasound in Medicine & Biology 2018; 44(7): 1327 doi: 10.1016/j.ultrasmedbio.2018.03.002
11
Takuma Oguri, Naohisa Kamiyama, Sachiyo Noguchi, Yuko Kanayama, Yudai Fujiwara, Tamami Abe, Yuriko Mikami, Hidekatsu Kuroda. Investigation of a Method for Quantifiying Diffuse Liver Disease Based on Histogra of Ultrasound Signal-to-Noise Ratio2018 IEEE International Ultrasonics Symposium (IUS) 2018; : 1 doi: 10.1109/ULTSYM.2018.8580014
12
Tae-Hoon Nam, Beom Jin Park, Deuk Jae Sung, Min Ju Kim, Na Yeon Han, Ki Choon Sim, Jean H. Lee, Sung Bum Cho. Non-invasive assessment of liver fibrosis using acoustic structure quantification: comparison with transient elastography in chronic viral hepatitisAbdominal Radiology 2016; 41(2): 239 doi: 10.1007/s00261-015-0597-3
13
Christiane Krämer, Natalie Jaspers, Dirk Nierhoff, Kathrin Kuhr, Andrea Bowe, Tobias Goeser, Guido Michels. Acoustic Structure Quantification Ultrasound Software Proves Imprecise in Assessing Liver Fibrosis or Cirrhosis in Parenchymal Liver DiseasesUltrasound in Medicine & Biology 2014; 40(12): 2811 doi: 10.1016/j.ultrasmedbio.2014.07.020
14
Po-Hsiang Tsui, Yung-Liang Wan. Effects of Fatty Infiltration of the Liver on the Shannon Entropy of Ultrasound Backscattered SignalsEntropy 2016; 18(9): 341 doi: 10.3390/e18090341
15
Thomas Karlas, Joachim Berger, Nikita Garnov, Franziska Lindner, Harald Busse, Nicolas Linder, Alexander Schaudinn, Bettina Relke, Rima Chakaroun, Michael Tröltzsch, Johannes Wiegand, Volker Keim. Estimating steatosis and fibrosis: Comparison of acoustic structure quantification with established techniquesWorld Journal of Gastroenterology 2015; 21(16): 4894-4902 doi: 10.3748/wjg.v21.i16.4894
16
Zhuhuang Zhou, Qiyu Zhang, Weiwei Wu, Shuicai Wu, Po-Hsiang Tsui. Hepatic Steatosis Assessment Using Quantitative Ultrasound Parametric Imaging Based on Backscatter Envelope StatisticsApplied Sciences 2019; 9(4): 661 doi: 10.3390/app9040661
17
Zhuhuang Zhou, Anna Gao, Qiyu Zhang, Weiwei Wu, Shuicai Wu, Po-Hsiang Tsui. Ultrasound Backscatter Envelope Statistics Parametric Imaging for Liver Fibrosis Characterization: A ReviewUltrasonic Imaging 2020; 42(2): 92 doi: 10.1177/0161734620907886
18
Dong Ho Lee, Jae Young Lee, Kyung Bun Lee, Joon Koo Han. Evaluation of Hepatic Steatosis by Using Acoustic Structure Quantification US in a Rat Model: Comparison with Pathologic Examination and MR SpectroscopyRadiology 2017; 285(2): 445 doi: 10.1148/radiol.2017161923
19
Po-Hsiang Tsui, Zhuhuang Zhou, Ying-Hsiu Lin, Chieh-Ming Hung, Shih-Jou Chung, Yung-Liang Wan, Wei-Ning Lee. Effect of ultrasound frequency on the Nakagami statistics of human liver tissuesPLOS ONE 2017; 12(8): e0181789 doi: 10.1371/journal.pone.0181789
20
Tanja Eva-Maria Kaltenbach, Beate Gruener, Atilla Serif Akinli, Wolfgang Kratzer, Suemeyra Oeztuerk, Richard Andrew Mason, Mark Martin Haenle, Tilmann Graeter. Acoustic structure quantification (ASQ): a new tool in sonographic examination of liver lesions in hepatic alveolar echinococcosisJournal of Medical Ultrasonics 2014; 41(4): 445 doi: 10.1007/s10396-014-0540-1
21
Yuan Zhang, Ying Zheng, Xuesong Yang, Xuqing Liu, Haiying Zhang, Xiaoluan Xu, Fankun Meng. Comparison of Acoustic Structure Quantification, Transient Elastography (FibroScan) and Histology in Patients with Chronic Hepatitis B and without Moderate to Severe Hepatic SteatosisUltrasound in Medicine & Biology 2019; 45(3): 684 doi: 10.1016/j.ultrasmedbio.2018.10.007
22
Manjiri Dighe, Matthew Bruce. Elastography of Diffuse Liver DiseasesSeminars in Roentgenology 2016; 51(4): 358 doi: 10.1053/j.ro.2016.05.002
23
Shahin Zandieh, Reinhard Bernt, Jochen Zwerina, Joerg Haller, Peter Knoll, Orang Seyeddain, Siroos Mirzaei. Acoustic Structure Quantification Analysis of the Thyroid in Patients with Diffuse Autoimmune Thyroid DiseaseUltrasonic Imaging 2016; 38(2): 137 doi: 10.1177/0161734615580766
24
Takuma Oguri, Kazuki Tamura, Kenji Yoshida, Jonathan Mamou, Hideyuki Hasegawa, Hitoshi Maruyama, Hiroyuki Hachiya, Tadashi Yamaguchi. Estimation of scatterer size and acoustic concentration in sound field produced by linear phased array transducerJapanese Journal of Applied Physics 2015; 54(7S1): 07HF14 doi: 10.7567/JJAP.54.07HF14
25
Nobuharu TAMAKI, Kaoru TSUCHIYA, Yutaka YASUI, Namiki IZUMI. Quantitative analysis of diffuse liver disease by acoustic structure quantificationChoonpa Igaku 2015; 42(4): 517 doi: 10.3179/jjmu.JJMU.R.47
26
J. F. Gerstenmaier, R. N. Gibson. Ultrasound in chronic liver diseaseInsights into Imaging 2014; 5(4): 441 doi: 10.1007/s13244-014-0336-2
27
Yang Huang, Guang-Jian Liu, Bing Liao, Guang-Liang Huang, Jin-Yu Liang, Lu-Yao Zhou, Fen Wang, Wei Li, Xiao-Yan Xie, Wei Wang, Ming-De Lu. Impact Factors and the Optimal Parameter of Acoustic Structure Quantification in the Assessment of Liver FibrosisUltrasound in Medicine & Biology 2015; 41(9): 2360 doi: 10.1016/j.ultrasmedbio.2015.05.006
28
Dong Ho Lee. Imaging evaluation of non-alcoholic fatty liver disease: focused on quantificationClinical and Molecular Hepatology 2017; 23(4): 290 doi: 10.3350/cmh.2017.0042
29
Jan Keller, Tanja Eva-Maria Kaltenbach, Mark Martin Haenle, Suemeyra Oeztuerk, Tilmann Graeter, Richard Andrew Mason, Thomas Seufferlein, Wolfgang Kratzer. Comparison of Acoustic Structure Quantification (ASQ), shearwave elastography and histology in patients with diffuse hepatopathiesBMC Medical Imaging 2015; 15(1) doi: 10.1186/s12880-015-0100-1
30
Annalisa Berzigotti, Giovanna Ferraioli, Simona Bota, Odd Helge Gilja, Christoph F. Dietrich. Novel ultrasound-based methods to assess liver disease: The game has just begunDigestive and Liver Disease 2018; 50(2): 107 doi: 10.1016/j.dld.2017.11.019
31
Yang Huang, Zhu Wang, Bing Liao, Jin-Yu Liang, Lu-Yao Zhou, Fen Wang, Wei Li, Jin-Ya Liu, Xiao-Yan Xie, Ming-De Lu, Guang-Jian Liu, Wei Wang. Assessment of liver fibrosis in chronic hepatitis B using acoustic structure quantification: quantitative morphological ultrasoundEuropean Radiology 2016; 26(7): 2344 doi: 10.1007/s00330-015-4056-x
32
Hideyuki DENPO, Satoshi SAITOH, Koichi KUBOTA, Yoko UGAJIN, Kazuo TAKEUCHI, Masafumi INOUE. Re-examination of B-mode images of fatty changes in the liver —a comparison with the non alcoholic fatty liver disease activity score—Choonpa Igaku 2015; 42(3): 337 doi: 10.3179/jjmu.JJMU.A.34
33
Jisang Park, Hyun Sook Hong, Chul-Hee Kim, Eun Hye Lee, Sun Hye Jeong, A. Leum Lee, Heon Lee. Investigation of Acoustic Structure Quantification in the Diagnosis of ThyroiditisAmerican Journal of Roentgenology 2016; 206(3): 601 doi: 10.2214/AJR.15.14586
34
Sona S. Sharma, Nivedita M. Jangale, Abhay M. Harsulkar, Medha K. Gokhale, Bimba N. Joshi. Chronic maternal calcium and 25-hydroxyvitamin D deficiency in Wistar rats programs abnormal hepatic gene expression leading to hepatic steatosis in female offspringThe Journal of Nutritional Biochemistry 2017; 43: 36 doi: 10.1016/j.jnutbio.2017.01.008
35
Jianxue Liu, Wei Ren, Hong Ai, Guoliang Dun, Yonghao Ji, Yaoren Zhang, Qinyun Wan, Shumei Lin. Acoustic Structure Quantification Versus Point Shear Wave Speed Measurement for the Assessment of Liver Fibrosis in Viral Hepatitis BUltrasound in Medicine & Biology 2018; 44(6): 1177 doi: 10.1016/j.ultrasmedbio.2018.02.010
36
Ying-Hsiu Lin, Yin-Yin Liao, Chih-Kuang Yeh, Kuen-Cheh Yang, Po-Hsiang Tsui. Ultrasound Entropy Imaging of Nonalcoholic Fatty Liver Disease: Association with Metabolic SyndromeEntropy 2018; 20(12): 893 doi: 10.3390/e20120893