Hepatic fat quantification in dual-layer computed tomography using a three-material decomposition algorithm
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作者:
Demondion, Emilie
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Lille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, FranceLille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Demondion, Emilie
[1
]
Ernst, Olivier
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Lille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, FranceLille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Ernst, Olivier
[1
]
Louvet, Alexandre
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机构:
Lille Univ Hosp, Dept Gastroenterol & Hepatol, 2 Ave Oscar Lambret, Lille, FranceLille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Louvet, Alexandre
[2
]
Robert, Benjamin
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机构:
Philips Healthcare, CT Clin Sci, Paris, FranceLille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Robert, Benjamin
[3
]
Kafri, Galit
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机构:
Philips Healthcare, CT Clin Sci, Haifa, IsraelLille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Kafri, Galit
[4
]
Langzam, Eran
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Philips Healthcare, CT Clin Sci, Haifa, IsraelLille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Langzam, Eran
[4
]
Vermersch, Mathilde
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Lille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Valenciennes Hosp Ctr, Med Imaging Dept, 114 Ave Desandrouin, Valenciennes, FranceLille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
Vermersch, Mathilde
[1
,5
]
机构:
[1] Lille Univ Hosp, Med Imaging Dept, 2 Ave Oscar Lambret, Lille, France
[2] Lille Univ Hosp, Dept Gastroenterol & Hepatol, 2 Ave Oscar Lambret, Lille, France
[3] Philips Healthcare, CT Clin Sci, Paris, France
[4] Philips Healthcare, CT Clin Sci, Haifa, Israel
[5] Valenciennes Hosp Ctr, Med Imaging Dept, 114 Ave Desandrouin, Valenciennes, France
ObjectivesThe purpose of this study was to evaluate a three-material decomposition algorithm for hepatic fat quantification using a dual-layer computed tomography (DL-CT) and MRI as reference standard on a large patient cohort.MethodA total of 104 patients were retrospectively included in our study, i.e., each patient had an MRI exam and a DL-CT exam in our institution within a maximum of 31 days. Four regions of interest (ROIs) were positioned blindly and similarly in the liver, by two independent readers on DL-CT and MRI images. For DL-CT exams, all imaging phases were included. Fat fraction agreement between CT and MRI was performed using intraclass correlation coefficients (ICC), determination coefficients R2, and Bland-Altman plots. Diagnostic performance was determined using sensitivity, specificity, and positive and negative predictive values. The cutoff for steatosis was 5%.ResultsCorrelation between MRI and CT data was excellent for all perfusion phases with ICC calculated at 0.99 for each phase. Determination coefficients R2 were also good for all perfusion phases (about 0.95 for all phases). Performance of DL-CT in the diagnosis of hepatic steatosis was good with sensitivity between 89 and 91% and specificity ranging from 75 to 80%, depending on the perfusion phase. The positive predictive value was ranging from 78 to 93% and the negative predictive value from 82 to 86%.ConclusionMulti-material decomposition in DL-CT allows quantification of hepatic fat fraction with a good correlation to MRI data.Clinical relevance statementThe use of DL-CT allows for detection of hepatic steatosis. This is especially interesting as an opportunistic finding CT performed for other reasons, as early detection can help prevent or slowdown the development of liver metabolic disease.Key Points center dot Hepatic fat fractions provided by the dual-layer CT algorithm is strongly correlated with that measured on MRI.center dot Dual-layer CT is accurate to detect hepatic steatosis >= 5%.center dot Dual-layer CT allows opportunistic detection of steatosis, on CT scan performed for various indications.Key Points center dot Hepatic fat fractions provided by the dual-layer CT algorithm is strongly correlated with that measured on MRI.center dot Dual-layer CT is accurate to detect hepatic steatosis >= 5%.center dot Dual-layer CT allows opportunistic detection of steatosis, on CT scan performed for various indications.Key Points center dot Hepatic fat fractions provided by the dual-layer CT algorithm is strongly correlated with that measured on MRI.center dot Dual-layer CT is accurate to detect hepatic steatosis >= 5%.center dot Dual-layer CT allows opportunistic detection of steatosis, on CT scan performed for various indications.
机构:
Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Zhu, Jiongtao
Su, Ting
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Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Su, Ting
Zhang, Xin
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Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Zhang, Xin
Yang, Jiecheng
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Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Yang, Jiecheng
Mi, Donghua
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机构:
Capital Med Univ, Beijing Tiantan Hosp, Dept Vasc Neurol, Beijing 100070, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Mi, Donghua
Zhang, Yunxin
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机构:
Beijing Jishuitan Hosp, Dept Vasc Surg, Beijing 100035, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Zhang, Yunxin
Gao, Xiang
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Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Gao, Xiang
Zheng, Hairong
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Chinese Acad Sci, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Zheng, Hairong
Liang, Dong
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Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Chinese Acad Sci, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Liang, Dong
Ge, Yongshuai
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Chinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
Chinese Acad Sci, Paul C Lauterbur Res Ctr Biomed Imaging, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R ChinaChinese Acad Sci, Res Ctr Med Artificial Intelligence, Shenzhen Inst Adv Technol, Shenzhen 518055, Guangdong, Peoples R China
机构:
Univ British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, CanadaUniv British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, Canada
Stevens, Christopher J.
Murphy, Darra T.
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Univ British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, CanadaUniv British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, Canada
Murphy, Darra T.
Korzan, Jeffrey R.
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Univ British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, CanadaUniv British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, Canada
Korzan, Jeffrey R.
Nicolaou, Savvas
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Univ British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, CanadaUniv British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, Canada
Nicolaou, Savvas
Munk, Peter L.
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Univ British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, CanadaUniv British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, Canada
Munk, Peter L.
Ouellette, Hugue
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Univ British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, CanadaUniv British Columbia, Vancouver Gen Hosp, Dept Radiol, Vancouver, BC V5Z 1M9, Canada
机构:
Shandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China
Shandong Univ, Childrens Hosp, Jinan Childrens Hosp, Ctr Med Imaging, Jinan, Peoples R ChinaShandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China
Guo, Shaolan
Wang, Dandan
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机构:
Wuhan Univ, Zhongnan Hosp, Dept Gynecol Oncol, Wuhan, Peoples R ChinaShandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China
Wang, Dandan
Zhao, Qian
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机构:
Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Med Imaging, Jinan, Peoples R ChinaShandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China
Zhao, Qian
Bi, Zhao
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Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Med Imaging, Jinan, Peoples R ChinaShandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China
Bi, Zhao
Li, Wanhu
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机构:
Shandong First Med Univ & Shandong Acad Med Sci, Shandong Canc Hosp & Inst, Dept Med Imaging, Jinan, Peoples R ChinaShandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China
Li, Wanhu
Zhu, Jian
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Shandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China
Ctr Res Informat Biomed Sino France, 2 Sipailou Rd, Nanjing 210096, Peoples R China
Shandong Canc Hosp, Shandong Prov Key Med & Hlth Lab Pediat Canc Preci, Jinan, Peoples R ChinaShandong First Med Univ, Canc Hosp, Dept Radiat Oncol Phys & Technol, Ji Yan Rd, Jinan 250117, Peoples R China