RETRACTED: Diagnosis of Liver Cirrhosis and Liver Fibrosis by Artificial Intelligence Algorithm-Based Multislice Spiral Computed Tomography (Retracted Article)

被引:6
作者
Wu, Liexiu [1 ]
Ning, Bo [1 ]
Yang, Jianjun [1 ]
Chen, Yanni [2 ]
Zhang, Caihong [3 ]
Yan, Yun [4 ]
机构
[1] Baoji Cent Hosp, Dept Infect Dis, Baoji 721008, Shaanxi, Peoples R China
[2] Dis Control & Prevent Yulin Ctr, Dept Immunizat Plan, Yulin 719000, Shaanxi, Peoples R China
[3] Dis Control & Prevent Yulin Ctr, Dept Hlth, Yulin 719000, Shaanxi, Peoples R China
[4] Yulin City Ctr Dis Control & Prevent, Dept Chron Dis Control, Yulin 719000, Shaanxi, Peoples R China
关键词
CT; SPLEEN;
D O I
10.1155/2022/1217003
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
This research was aimed at investigating the artificial intelligence (AI) segmentation algorithm-based multislice spiral computed tomography (MSCT) in the diagnosis of liver cirrhosis and liver fibrosis. Besides, it was aimed at providing new methods for the diagnosis of liver cirrhosis and liver fibrosis. All patients were divided into the control group, mild liver fibrosis group, and significant liver fibrosis group. A total of 112 patients were included, with 40 cases in the mild liver fibrosis group, 48 cases in the significant liver fibrosis group, and 24 cases who underwent computed tomography (CT) examination in the control group. In the research, deconvolution algorithm of AI segmentation algorithm was adopted to process the images. The average hepatic arterial fraction (HAF) values of patients in the control group, mild liver fibrosis group, and severe liver fibrosis group were 17.59 +/- 10.03%, 18.23 +/- 5.57%, and 20.98 +/- 6.63%, respectively. The average MTT values of patients in the control group, mild liver fibrosis group, and severe liver fibrosis group were 12.69 +/- 1.78S, 12.53 +/- 2.05S, and 12.04 +/- 1.57S, respectively. The average blood flow (BF) values of patients in the control group, mild liver fibrosis group, and severe liver fibrosis group were 105.68 +/- 15.57 mL 100 g(-1)center dot min(-1), 116.07 +/- 16.5 mL.100 g(-1;)center dot min(-1), and 110.39 +/- 16.32 mL center dot 100 g(-1)center dot min(-1), respectively. Besides, the average blood volume (BV) values of patients in the control group, mild liver fibrosis group, and significant liver fibrosis group were 15.69 +/- 4.35 mL center dot log(-1), 16.97 +/- 2.68 mL center dot log(-1), and 16.11 +/- 4.87 mL center dot 100 g(-1), respectively. According to statistics, the differences among the average HAF, MTT, BF, and BV values showed no statistical meaning. AI segmentation algorithm-based MSCT imaging could promote the diagnosis of liver cirrhosis and liver fibrosis effectively and offer new methods to clinical diagnosis of liver cirrhosis and liver fibrosis.
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页数:8
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共 23 条
[1]  
Ahn Y, 2020, KOREAN J RADIOL, V21, P987
[2]   Three-dimensional CT texture analysis of anatomic liver segments can differentiate between low-grade and high-grade fibrosis [J].
Budai, Bettina Katalin ;
Toth, Ambrus ;
Borsos, Petra ;
Frank, Veronica Grace ;
Shariati, Sonaz ;
Fejer, Bence ;
Folhoffer, Aniko ;
Szalay, Ferenc ;
Berczi, Viktor ;
Kaposi, Pal Novak .
BMC MEDICAL IMAGING, 2020, 20 (01)
[3]   Alteration of contrast enhanced ultrasound (CEUS) of hepatocellular carcinoma in patients with cirrhosis and transjugular intrahepatic portosystemic shunt (TIPS) [J].
Chang, Johannes ;
Dumitrache, Alexia ;
Boehling, Nina ;
Abu-Omar, Jasmin ;
Meyer, Carsten ;
Strobel, Deike ;
Luetkens, Julian ;
Luu, Andreas Minh ;
Rockstroh, Juergen ;
Strassburg, Christian P. ;
Trebicka, Jonel ;
Gonzalez-Carmona, Maria A. ;
Marinova, Milka ;
Praktiknjo, Michael .
SCIENTIFIC REPORTS, 2020, 10 (01)
[4]   Development and Validation of a Deep Learning System for Staging Liver Fibrosis by Using Contrast Agent-enhanced CT Images in the Liver [J].
Choi, Kyu Jin ;
Jang, Jong Keon ;
Lee, Seung Soo ;
Sung, Yu Sub ;
Shim, Woo Hyun ;
Kim, Ho Sung ;
Yun, Jessica ;
Choi, Jin-Young ;
Lee, Yedaun ;
Kang, Bo-Kyeong ;
Kim, Jin Hee ;
Kim, So Yeon ;
Yu, Eun Sil .
RADIOLOGY, 2018, 289 (03) :688-697
[5]  
Eskens FALM, 2014, NETH J MED, V72, P299
[6]   Hemochromatosis: pathophysiology, evaluation, and management of hepatic iron overload with a focus on MRI [J].
Golfeyz, Shmuel ;
Lewis, Sara ;
Weisberg, Ilan S. .
EXPERT REVIEW OF GASTROENTEROLOGY & HEPATOLOGY, 2018, 12 (08) :767-778
[7]   Fuzzy System Based Medical Image Processing for Brain Disease Prediction [J].
Hu, Mandong ;
Zhong, Yi ;
Xie, Shuxuan ;
Lv, Haibin ;
Lv, Zhihan .
FRONTIERS IN NEUROSCIENCE, 2021, 15
[8]   Machine-learning analysis of contrast-enhanced CT radiomics predicts recurrence of hepatocellular carcinoma after resection: A multi-institutional study [J].
Ji, Gu-Wei ;
Zhu, Fei-Peng ;
Xu, Qing ;
Wang, Ke ;
Wu, Ming-Yu ;
Tang, Wei-Wei ;
Li, Xiang-Cheng ;
Wang, Xue-Hao .
EBIOMEDICINE, 2019, 50 :156-165
[9]   Stratification of Patients With Liver Fibrosis Using Dual-Energy CT [J].
Lamb, Peter ;
Sahani, Dushyant V. ;
Fuentes-Orrego, Jorge M. ;
Patino, Manuel ;
Ghosh, Asish ;
Mendonca, Paulo R. S. .
IEEE TRANSACTIONS ON MEDICAL IMAGING, 2015, 34 (03) :807-815
[10]   Analysis of Lipiodol uptake in angiography and computed tomography for the diagnosis of malignant versus benign hepatocellular nodules in cirrhotic liver [J].
Langenbach, Marcel C. ;
Vogl, Thomas J. ;
von den Driesch, Isabelle ;
Kaltenbach, Benjamin ;
Scholtz, Jan-Erik ;
Hammerstingl, Renate M. ;
Gruber-Rouh, Tatjana .
EUROPEAN RADIOLOGY, 2019, 29 (12) :6539-6549