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For: Liu P, Li P, He W, Zhao LQ. Liver and spleen volume variations in patients with hepatic fibrosis. World J Gastroenterol 2009; 15(26): 3298-3302 [PMID: 19598307 DOI: 10.3748/wjg.15.3298]
URL: https://www.wjgnet.com/1007-9327/full/v15/i26/3298.htm
Number Citing Articles
1
John L. Nosher, Pamela A. Ohman-Strickland, Salma Jabbour, Venkat Narra, Brittany Nosher. Changes in Liver and Spleen Volumes and Liver Function after Radioembolization with Yttrium-90 Resin MicrospheresJournal of Vascular and Interventional Radiology 2011; 22(12): 1706 doi: 10.1016/j.jvir.2011.08.017
2
Xiao‐li Chen, Tian‐wu Chen, Zhen‐lin Li, Xiao‐ming Zhang, Nan Chen, Nan‐lin Zeng, Hang Li, Hong‐jie Tang, Yu Pu, Chun‐ping Li. Spleen size measured on enhanced mri for quantitatively staging liver fibrosis in minipigsJournal of Magnetic Resonance Imaging 2013; 38(3): 540 doi: 10.1002/jmri.24007
3
Ji Hye Kwon, Seung Soo Lee, Jee Seok Yoon, Heung-Il Suk, Yu Sub Sung, Ho Sung Kim, Chul-min Lee, Kang Mo Kim, So Jung Lee, So Yeon Kim. Liver-to-Spleen Volume Ratio Automatically Measured on CT Predicts Decompensation in Patients with B Viral Compensated CirrhosisKorean Journal of Radiology 2021; 22(12): 1985 doi: 10.3348/kjr.2021.0348
4
Wenpeng Huang, Yushuo Peng, Lei Kang. Advancements of non‐invasive imaging technologies for the diagnosis and staging of liver fibrosis: Present and futureVIEW 2024; 5(4) doi: 10.1002/VIW.20240010
5
Chung Seop Lee, Yong Jin Jung, Soon Sun Kim, Jae Youn Cheong, Ga Ram Lee, Han Gyeol Kim, Beom Hee Kim, Jung Wha Chung, Eun Sun Jang, Sook-Hyang Jeong, Kyung Ho Lee, Jin-Wook Kim, Ferruccio Bonino. Liver volume-based prediction model stratifies risks for hepatocellular carcinoma in chronic hepatitis B patients on surveillancePLOS ONE 2018; 13(1): e0190261 doi: 10.1371/journal.pone.0190261
6
Yong Eun Chung. Deep learning assisted biomarker development in patients with chronic hepatitis B: Editorial on “Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infection”Clinical and Molecular Hepatology 2024; 30(4): 669 doi: 10.3350/cmh.2024.0563
7
Dao-Bing Zeng, Liang Di, Rui-Chi Zhang, Qing-Liang Guo, Bin-Wei Duan, Cui-Yu Jia, Feng Chen, Dong-Dong Lin, Yun-jin Zang, Shi-Chun Lu. The Effect of Splenectomy on the Reversal of Cirrhosis: a Prospective StudyGastroenterology Research and Practice 2019; 2019: 1 doi: 10.1155/2019/5459427
8
Vitor Grigio, Luiz Henrique Alves Guerra, Stella Bicalho Silva, Mariella Bontempo Freitas, Sebastião Roberto Taboga, Patrícia Simone Leite Vilamaior. Coconut oil affects aging-related changes in Mongolian gerbil liver morphophysiologyThe Journal of Nutritional Biochemistry 2024; 134: 109749 doi: 10.1016/j.jnutbio.2024.109749
9
Juanhua Wu, Yunyang Chen, Chaohai Zuo, Naile Kuang, Ronggang Li, Qing Li, Jianqiu Ruan, Enming Cui, Ruiyun Xu, Jiexiong Yu. A novel index for staging hepatitis B related liver cirrhosis in patients with hepatocellular carcinomaScience Progress 2021; 104(2) doi: 10.1177/00368504211018052
10
Takayuki Arakane, Masahiro Okada, Yujiro Nakazawa, Kenichiro Tago, Hiroki Yoshikawa, Mariko Mizuno, Hayato Abe, Tokio Higaki, Yukiyasu Okamura, Tadatoshi Takayama. Comparison between Intravoxel Incoherent Motion and Splenic Volumetry to Predict Hepatic Fibrosis Staging in Preoperative PatientsDiagnostics 2023; 13(20): 3200 doi: 10.3390/diagnostics13203200
11
Hang Li, Tian-wu Chen, Xiao-ming Zhang, Zhen-lin Li, Jin-ling Zhang, Dan Wang, Ting Li, Jian-lin Wu, Xing Guo, Xiao-li Chen, Li Li, Xian-yong Xie, Zi-shu Zhang, Jiani Hu. Liver Lobe Volumes and the Ratios of Liver Lobe Volumes to Spleen Volume on Magnetic Resonance Imaging for Staging Liver Fibrosis in a Minipig ModelPLoS ONE 2013; 8(11): e79681 doi: 10.1371/journal.pone.0079681
12
Junghoan Park, Ijin Joo, Sun Kyung Jeon, Jong-Min Kim, Sang Joon Park, Soon Ho Yoon. Automated abdominal organ segmentation algorithms for non-enhanced CT for volumetry and 3D radiomics analysisAbdominal Radiology 2024;  doi: 10.1007/s00261-024-04581-5
13
Kazuki Takeishi, Hirofumi Kawanaka, Shinji Itoh, Norifumi Harimoto, Toru Ikegami, Tomoharu Yoshizumi, Ken Shirabe, Yoshihiko Maehara. Impact of Splenic Volume and Splenectomy on Prognosis of Hepatocellular Carcinoma Within Milan Criteria After Curative HepatectomyWorld Journal of Surgery 2018; 42(4): 1120 doi: 10.1007/s00268-017-4232-z
14
Splenic densities measurements and its relationship with the extent of pathologic changes2011 International Conference on Remote Sensing, Environment and Transportation Engineering 2011; : 8511 doi: 10.1109/RSETE.2011.5964146
15
Tomohide Yoneyama, Yoshihiko Fukukura, Kiyohisa Kamimura, Koji Takumi, Aya Umanodan, Shinichi Ueno, Masayuki Nakajo. Efficacy of liver parenchymal enhancement and liver volume to standard liver volume ratio on Gd-EOB-DTPA-enhanced MRI for estimation of liver functionEuropean Radiology 2014; 24(4): 857 doi: 10.1007/s00330-013-3086-5
16
Gao-Xiong Ouyang, Yu-mei Zhang, Shao-Liang Zhu, Peng Wang, Yuan Ren, Jia-Hao Li, Yu-Kai Liu, Jun Chen, Bang-De Xiang, Le-Qun Li, Jian-Yong Liu, Zhi-Ming Zhang. A novel, non-invasive model for diagnosing liver fibrosis stage in patients with hepatocellular carcinomaScientific Reports 2018; 8(1) doi: 10.1038/s41598-018-31351-3
17
Jung Hee Son, Seung Soo Lee, Yedaun Lee, Bo-Kyeong Kang, Yu Sub Sung, SoRa Jo, Eunsil Yu. Assessment of liver fibrosis severity using computed tomography–based liver and spleen volumetric indices in patients with chronic liver diseaseEuropean Radiology 2020; 30(6): 3486 doi: 10.1007/s00330-020-06665-4
18
Sylviane Hanquinet, Delphine S. Courvoisier, Anne-Laure Rougemont, Amira Dhouib, Laura Rubbia-Brandt, Barbara E. Wildhaber, Laura Merlini, Valerie A. McLin, Mehrak Anooshiravani. Contribution of acoustic radiation force impulse (ARFI) elastography to the ultrasound diagnosis of biliary atresiaPediatric Radiology 2015; 45(10): 1489 doi: 10.1007/s00247-015-3352-6
19
Jeongin Yoo, Sun Woong Kim, Dong Ho Lee, Jae Seok Bae, Eun Ju Cho. Prognostic role of spleen volume measurement using computed tomography in patients with compensated chronic liver disease from hepatitis B viral infectionEuropean Radiology 2021; 31(3): 1432 doi: 10.1007/s00330-020-07209-6
20
Numan Kutaiba, William Chung, Mark Goodwin, Adam Testro, Gary Egan, Ruth Lim. The impact of hepatic and splenic volumetric assessment in imaging for chronic liver disease: a narrative reviewInsights into Imaging 2024; 15(1) doi: 10.1186/s13244-024-01727-3
21
Florin Mihai, Anca Trifan, Carol Stanciu, Ana Maria Singeap, Bogdan Cucuteanu, Corina Lupascu Ursulescu, Corina Pop, Irina Girleanu, Tudor Cuciureanu, Dragos Negru, Camelia Cojocariu. Liver Remodeling on CT Examination in Patients with HCV Compensated Cirrhosis Who Achieved Sustained Virological Response after Direct-Acting Antivirals TreatmentMedicina 2020; 56(4): 171 doi: 10.3390/medicina56040171
22
Jorge E. Lopera, Kermit V. Speeg, Carmen Young, Deepak Garg, Joel Michalek, Yumin Chen, Ghazwan Kroma, Rajeev Suri, Andres Garza-Berlanga. Effect of liver volume in morbidity and mortality after elective transjugular intrahepatic portosystemic shuntGastrointestinal Intervention 2014; 3(2): 93 doi: 10.1016/j.gii.2014.10.003
23
Antoine Wackenthaler, Sébastien Molière, Thierry Artzner, Baptiste Michard, Maleka Schenck, Pietro Addeo, Camille Besch, Philippe Bachellier, Francis Schneider, Francis Veillon, François Faitot. Pre-operative CT scan helps predict outcome after liver transplantation for acute-on-chronic grade 3 liver failureEuropean Radiology 2022; 32(1): 12 doi: 10.1007/s00330-021-08131-1
24
Satoshi Goshima, Masayuki Kanematsu, Hiroshi Kondo, Haruo Watanabe, Yoshifumi Noda, Hiroshi Fujita, Kyongtae T. Bae. Computer-aided assessment of hepatic contour abnormalities as an imaging biomarker for the prediction of hepatocellular carcinoma development in patients with chronic hepatitis CEuropean Journal of Radiology 2015; 84(5): 811 doi: 10.1016/j.ejrad.2015.01.009
25
Zhiyuan Li, Hailong Li, Anca L. Ralescu, Jonathan R. Dillman, Nehal A. Parikh, Lili He. A novel collaborative self-supervised learning method for radiomic dataNeuroImage 2023; 277: 120229 doi: 10.1016/j.neuroimage.2023.120229
26
Ohad Etzion, Varun Takyar, Victor Novack, Ahmed M. Gharib, Raissa Canales, Akeem Adebogun, Eric Matsumoto, Jason L. Eccleston, David E. Kleiner, Sergio D. Rosenzweig, Meral Gunay‐Aygun, Gulbu Uzel, Ivan Fuss, Richard Childs, Steven M. Holland, Elliot B. Levy, T. Jake Liang, Theo Heller, Christopher Koh. Spleen and Liver Volumetrics as Surrogate Markers of Hepatic Venous Pressure Gradient in Patients With Noncirrhotic Portal HypertensionHepatology Communications 2018; 2(8): 923 doi: 10.1002/hep4.1198
27
Perry J. Pickhardt, Kyle Malecki, Oliver F. Hunt, Claire Beaumont, John Kloke, Timothy J. Ziemlewicz, Meghan G. Lubner. Hepatosplenic volumetric assessment at MDCT for staging liver fibrosisEuropean Radiology 2017; 27(7): 3060 doi: 10.1007/s00330-016-4648-0
28
Devika Kapuria, Gil Ben‐Yakov, Rebecca Ortolano, Min Ho Cho, Or Kalchiem‐Dekel, Varun Takyar, Shilpa Lingala, Naveen Gara, Michele Tana, Yun Ju Kim, David E. Kleiner, Neal S. Young, Danielle M. Townsley, Christopher Koh, Theo Heller. The Spectrum of Hepatic Involvement in Patients With Telomere DiseaseHepatology 2019; 69(6): 2579 doi: 10.1002/hep.30578
29
Satoshi Goshima, Masayuki Kanematsu, Haruo Watanabe, Hiroshi Kondo, Hiroshi Kawada, Noriyuki Moriyama, Kyongtae T. Bae. Gd‐EOB‐DTPA‐enhanced MR imaging: Prediction of hepatic fibrosis stages using liver contrast enhancement index and liver‐to‐spleen volumetric ratioJournal of Magnetic Resonance Imaging 2012; 36(5): 1148 doi: 10.1002/jmri.23758
30
Yi-Wen Cheng, Ya-Chien Chang, Yao-Li Chen, Ran-Chou Chen, Chen-Te Chou, Han-Chieh Lin. Feasibility of measuring spleen stiffness with MR elastography and splenic volume to predict hepatic fibrosis stagePLOS ONE 2019; 14(5): e0217876 doi: 10.1371/journal.pone.0217876
31
Kenichiro Tago, Jitsuro Tsukada, Naohiro Sudo, Kazu Shibutani, Masahiro Okada, Hayato Abe, Kenji Ibukuro, Tokio Higaki, Tadatoshi Takayama. Comparison between CT volumetry and extracellular volume fraction using liver dynamic CT for the predictive ability of liver fibrosis in patients with hepatocellular carcinomaEuropean Radiology 2022; 32(11): 7555 doi: 10.1007/s00330-022-08852-x
32
Elena Klimova, Larisa Drozdova, Olena Lavinska, Sergey Sushkov, Valery Boyko. Probing Selected Autoimmune Diseases for Focused Perspectives2023;  doi: 10.5772/intechopen.1002972
33
Perry J. Pickhardt, Kyle Malecki, John Kloke, Meghan G. Lubner. Accuracy of Liver Surface Nodularity Quantification on MDCT as a Noninvasive Biomarker for Staging Hepatic FibrosisAmerican Journal of Roentgenology 2016; 207(6): 1194 doi: 10.2214/AJR.16.16514
34
Hannu Huhdanpaa, Christopher Douville, Kerry Baum, Venkat N. Krishnamurthy, Sven Holcombe, Binu Enchakalody, Lu Wang, Stewart C. Wang, Grace L. Su. Development of a quantitative method for the diagnosis of cirrhosisScandinavian Journal of Gastroenterology 2011; 46(12): 1468 doi: 10.3109/00365521.2011.613946
35
Daniel F. Aguirre-Reyes, Julio A. Sotelo, Juan P. Arab, Marco Arrese, Rodrigo Tejos, Pablo Irarrazaval, Cristian Tejos, Sergio A. Uribe, Marcelo E. Andia. Intrahepatic portal vein blood volume estimated by non-contrast magnetic resonance imaging for the assessment of portal hypertensionMagnetic Resonance Imaging 2015; 33(8): 970 doi: 10.1016/j.mri.2015.06.016
36
Hannu T. Huhdanpaa, Peng Zhang, Venkataramu N. Krishnamurthy, Chris Douville, Binu Enchakolody, Chris Chou, Sampathkumar Ethiraj, Stewart Wang, Grace L. Su. Quantitative Detection of Cirrhosis: Towards the Development of Computer-Assisted Detection MethodJournal of Digital Imaging 2014; 27(5): 601 doi: 10.1007/s10278-014-9696-x
37
Yan Geng, Wei-qing Shao, Jing Lin. Spleen to non-cancerous liver volume ratio predicts liver cirrhosis in hepatocellular carcinoma patientsAbdominal Radiology 2022; 48(2): 543 doi: 10.1007/s00261-022-03727-7
38
Dai Shimamoto, Akihiro Nishie, Yoshiki Asayama, Yasuhiro Ushijima, Yukihisa Takayama, Nobuhiro Fujita, Ken Shirabe, Tomoyuki Hida, Yuichiro Kubo, Hiroshi Honda. MR Prediction of Liver Function and Pathology Using Gd-EOB-DTPA: Effect of Liver Volume ConsiderationBioMed Research International 2015; 2015: 1 doi: 10.1155/2015/141853
39
D. Seppelt, T. Ittermann, M. L. Kromrey, C. Kolb, C. vWahsen, P. Heiss, H. Völzke, R. T. Hoffmann, J. P. Kühn. Simple diameter measurement as predictor of liver volume and liver parenchymal diseaseScientific Reports 2022; 12(1) doi: 10.1038/s41598-022-04825-8
40
Jeongin Yoo, Heejin Cho, Dong Ho Lee, Eun Ju Cho, Ijin Joo, Sun Kyung Jeon. Prognostic role of computed tomography analysis using deep learning algorithm in patients with chronic hepatitis B viral infectionClinical and Molecular Hepatology 2023; 29(4): 1029 doi: 10.3350/cmh.2023.0190
41
Xiao Chen, Tao Yang, Dong Wang, Bo Huang, Yanlong Cao, Jianguo Lu, Lei Cai, Jikai Yin. More precise measurement of irregular splenic volume in cirrhotic patients with portal hypertensioniLIVER 2023; 2(2): 109 doi: 10.1016/j.iliver.2023.04.002
42
Xiang-Dong Hu, Hui-Ying Geng, Lei Wang, Hu-Feng Xu, Yuan Su, Si Liang, Lin-Xue Qian. Supersonic Shear Wave Imaging of the Spleen for Staging of Liver Fibrosis in RatsUltrasound in Medicine & Biology 2017; 43(10): 2343 doi: 10.1016/j.ultrasmedbio.2017.04.013
43
Yujiro Nakazawa, Masahiro Okada, Tomoko Hyodo, Kenichiro Tago, Kazu Shibutani, Mariko Mizuno, Hiroki Yoshikawa, Hayato Abe, Tokio Higaki, Yukiyasu Okamura, Tadatoshi Takayama. Comparison between CT volumetry, technetium99m galactosyl-serum-albumin scintigraphy, and gadoxetic-acid-enhanced MRI to estimate the liver fibrosis stage in preoperative patientsEuropean Radiology 2023; 34(4): 2212 doi: 10.1007/s00330-023-10219-9
44
Andrew D. Smith, Cody R. Branch, Kevin Zand, Charu Subramony, Haowei Zhang, Katherine Thaggard, Richard Hosch, Jason Bryan, Amit Vasanji, Michael Griswold, Xu Zhang. Liver Surface Nodularity Quantification from Routine CT Images as a Biomarker for Detection and Evaluation of CirrhosisRadiology 2016; 280(3): 771 doi: 10.1148/radiol.2016151542
45
Xiao-li Chen, Tian-wu Chen, Xiao-ming Zhang, Zhen-lin Li, Nan-lin Zeng, Ting Li, Dan Wang, Jie Li, Zhi-jia Fang, Hang Li, Jia Chen, Jun Liu, Guo-hui Xu, Jing Ren, Jian-lin Wu, Chun-ping Li, Jiani Hu. Quantitative Assessment of the Presence and Severity of Cirrhosis in Patients with Hepatitis B Using Right Liver Lobe Volume and Spleen Size Measured at Magnetic Resonance ImagingPLoS ONE 2014; 9(3): e89973 doi: 10.1371/journal.pone.0089973
46
Tho X. Pham, Yoojin Lee, Minkyung Bae, Siqi Hu, Hyunju Kang, Mi-Bo Kim, Young-Ki Park, Ji-Young Lee. Spirulina supplementation in a mouse model of diet-induced liver fibrosis reduced the pro-inflammatory response of splenocytesBritish Journal of Nutrition 2019; 121(7): 748 doi: 10.1017/S0007114519000126
47
Wen-Chieh Wu, Yi-You Chiou, Hung-Hsu Hung, Wei-Yu Kao, Yi-Hong Chou, Chien-Wei Su, Jaw-Ching Wu, Teh-Ia Huo, Yi-Hsiang Huang, Kuei-Chuan Lee, Han-Chieh Lin, Shou-Dong Lee. Prognostic Significance of Computed Tomography Scan-derived Splenic Volume in Hepatocellular Carcinoma Treated With Radiofrequency AblationJournal of Clinical Gastroenterology 2012; 46(9): 789 doi: 10.1097/MCG.0b013e31825ceeb5
48
Koki Takase, Takehisa Ueno, Kyoko Matsuki, Marie Todo, Shun Iwasaki, Koihi Deguchi, Kazunori Masahata, Motonari Nomura, Miho Watanabe, Masafumi Kamiyama, Yuko Tazuke, Takeshi Kimura, Hiroomi Okuyama. Liver-Spleen Volume Ratio as a Predictor of Native Liver Survival in Patients with Biliary AtresiaTransplantation Proceedings 2023; 55(4): 872 doi: 10.1016/j.transproceed.2023.03.026
49
Oliver M. Furusato Hunt, Meghan G. Lubner, Timothy J. Ziemlewicz, Alejandro Muñoz del Rio, Perry J. Pickhardt. The Liver Segmental Volume Ratio for Noninvasive Detection of CirrhosisJournal of Computer Assisted Tomography 2016; 40(3): 478 doi: 10.1097/RCT.0000000000000389
50
Adil Asghar, Dushyant Agrawal, S. M. Yunus, P. K. Sharma, S. H. H. Zaidi, Aruna Sinha. Standard Splenic Volume Estimation in North Indian Adult Population: Using 3D Reconstruction of Abdominal CT Scan ImagesAnatomy Research International 2011; 2011: 1 doi: 10.1155/2011/707325
51
Hayit Greenspan, Eyal Klang, Michal Amitai, Evgeny Bal, Kensaku Mori, Nicholas Petrick. Automatic liver volume segmentation and fibrosis classificationMedical Imaging 2018: Computer-Aided Diagnosis 2018; : 5 doi: 10.1117/12.2294555
52
Yuya Seko, Michihisa Moriguchi, Aya Takahashi, Shinya Okishio, Seita Kataoka, Keiichiroh Okuda, Naoki Mizuno, Masashi Takemura, Hiroyoshi Taketani, Atsushi Umemura, Taichiro Nishikawa, Kanji Yamaguchi, Yoshito Itoh. The Association between the Platelet Count and Liver Volume in Compensated Cirrhosis Patients after the Eradication of Hepatitis C virus by Direct-acting AntiviralsInternal Medicine 2020; 59(15): 1811 doi: 10.2169/internalmedicine.4442-20
53
Beom Hee Kim, Jung Wha Chung, Chung Seop Lee, Eun Sun Jang, Sook-Hyang Jeong, Nayoung Kim, Jin-Wook Kim. Liver volume index predicts the risk of esophageal variceal hemorrhage in cirrhotic patients on propranolol prophylaxisThe Korean Journal of Internal Medicine 2019; 34(6): 1233 doi: 10.3904/kjim.2018.120
54
Karen Margarete Vieira da Silva Franco, Waldonio Brito Vieira, Apio Ricardo Nazareth Dias, Aline Semblano Carreira Falcão, Luiz Fábio Magno Falcão, Juarez Antônio Simões Quaresma. Doppler ultrasonography: A non‐invasive method used to diagnose and follow up patients with chronic hepatitis CJournal of Gastroenterology and Hepatology 2020; 35(2): 314 doi: 10.1111/jgh.14793