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| 1 | The role of apparent diffusion coefficient values in characterization of solid focal liver lesions:a prospective and comparative clinical study显示文摘We evaluated and compared the diagnostic accuracy(DA) of apparent diffusion coefficient(ADC) values with that of lesion-to-liver ADC ratios in the characterization of solid focal liver lesions(FLLs).This prospective study was approved by the Institutional Human Ethics Board,after waiving written informed consent.Diffusion-weighted imaging and other routine magnetic resonance imaging were performed on 142 consecutive patients with suspected liver disease.The mean ADC values and lesion-to-liver ADC ratios were compared between benign and malignant solid FLLs.Receiver operating characteristic analysis was performed.The study participants included 46 patients(28 men,18 women;mean age,52.5 years) with 57 solid FLLs(32 malignant and 25 benign FLLs).The mean ADC values and ADC ratios of benign solid FLLs were significantly higher than those of malignant lesions(P<0.01).The difference between the area under the receiver operating characteristic curve of the ADC values(0.699) and ADC ratios(0.752) was not significant.Our study suggests that the DA of the ADC ratio is not significantly higher than that of ADC in characterizing solid FLLs. | Dawei Yang Jie Zhang Dan Han Erhu Jin Zhenghan Yang | 2017 | Science China(Life Sciences)2017，60，1： | 3 |
| 2 | Diagnostic Accuracy of the Apparent Diffusion Coefficient for Microvascular Invasion in Hepatocellular Carcinoma: A Meta-analysis显示文摘Background and Aims:Microvascular invasion(MVI)is a major risk factor for the early recurrence of hepatocel-lular carcinoma(HCC)and it seriously worsens the prog-nosis.Accurate preoperative evaluation of the presence of MVI could greatly benefit the treatment management and prognosis prediction of HCC patients.The study aim was to evaluate the diagnostic performance of the apparent dif-fusion coefficient(ADC),a quantitative parameter for the preoperative diagnosis MVI in HCC patients.Methods:Original articles about diffusion-weighted imaging(DWI)and/or intravoxel incoherent motion(IVIM)conducted on a 3.0 or 1.5 Tesla magnetic resonance imaging(MRI)system indexed through January 17,2021were collected from MED-LINE/PubMed,Web of Science,EMBASE,and the Cochrane Library.Methodological quality was evaluated using Quality Assessment of Diagnostic Accuracy Studies 2(QUADAS-2).The pooled sensitivity,specificity,and summary area un-der the receiver operating characteristic curve(AUROC)were calculated,and meta-regression analysis was per-formed using a bivariate random effects model through a meta-analysis.Results:Nine original articles with a total of 988 HCCs were included.Most studies had low bias risk and minimal applicability concerns.The pooled sensitivity,specificity and AUROC of the ADC value were 73%,70%,and 0.78,respectively.The time interval between the index test and the reference standard was identified as a pos-sible source of heterogeneity by subgroup meta-regression analysis.Conclusions:Meta-analysis showed that the ADC value had moderate accuracy for predicting MVI in HCC.The time interval accounted for the heterogeneity. | Yuhui Deng Jisheng Li Hui Xu Ahong Ren Zhenchang Wang Dawei Yang Zhenghan Yang | 2022 | Journal of Clinical and Translational Hepatology2022，10，4： | 2 |
| 3 | Performance evaluation of deep learning-based post-processing and diagnostic reporting system for coronary CT angiography: a clinical comparative study显示文摘To the Editor:Coronary computed tomography angiography(CCTA)has been increasingly,widely performed for diagnosing coronary artery,disease,lAnatomical diagnosis,that is,stenosis grading,is stillthe main diagnostic index provided'by most CCTA tests.Post-processing and interpretation of stenosis are 2 essential'steps that need to be performed bycardiovascular imaging professionals from scan completion to diagnosis conclusion,which is repetitive and time-consuming,taking an average of 30 minutes each case in China and becoming the bottleneck and gradually creating an imbalance between supply and demand.In ine with the rapid development of artificial intelligence(Al)technology in recent years,it has been expected to solve these specific problems.We developed an AI system for automating post-processing and diagnostic reporting of CCTA data using deep learning algorithms to establishanew1-clickworkflowforeverydayuse,namely,CCTA-AI(Figure 1).To further assess its capabilities,this study intends to answer 2 following questions:To what extent can it improve the efficiency of post-processing?To what extent can CCTA-AI detect and calculate coronary artery stenosis due to each atherosclerotic plaque? | Nan Luo Yi He Jitao Fan Ning Guo Guang Yang Yuanyuan Kong Jianyong Wei Tao Bi Jie Zhou Jiaxin Cao Xianjun Han Fang Li Shiyu Zhang Rujing Sun Zhaozhao Wang Tian Ma Lixue Xu Hui Chen Hongwei Li Zhenchang Wang Zhenghan Yang | 2022 | Chinese Medical Journal2022，135，19： | 2 |
| 4 | Central sensibility of human cases with different body mass during oral glucose tolerance test using functional magnetic resonance imaging显示文摘BACKGROUND: Because of the limitation of technique, there are few researches on regulating function o central hypothalamus by metabolism, especially the researches on real-time function. OBJECTIVE: To evaluate the response of hypothalamus to oral glucose tolerance test (OGTT) in differen body-weighted subjects by using functional magnetic resonance imaging (fMRI) so as to investigate th relationship between the sensitivity of hypothalamus in glycoregulation and disturbance of carbohydrat metabolism. DESIGN: Paired design. SETTING: Department of Radiology and Beijing Geriatrics Institute, Beijing Hospital, National Publi Health Bureau. PARTICIPANTS: A total of twenty healthy volunteers were selected from Beijing Geriatrics Institute National Public Health Bureau, including 10 subjects with obesity (5 males and 5 females; body mass > 28.0 kg/m2) and 10 subjects with normal body mass (5 males and 5 females; body mass from 18.5 to 23.9 kg/m2). All subjects gave written informed consent before participating in the study. METHODS: fMRI study was performed on GE 1.5 T Signa Twinspeed Infinity with Excite. Each voluntee was ingested of glucose during the fMRI scan. T2* images were acquired using a single-shot gradient echo (EPI) technique. The parameters of EPI included: TR 3 000 ms, TE 40 ms, Flip angle 90°, field of view (FOV) 24 cm × 24 cm, thickness 5 mm, gap 0 mm, matrix 64 × 64, number of excitation 1. All 10 subjects with normal body mass underwent a repeat fMRI scan after consuming an equivalent amount o water without glucose on a separate day. The procedure for the fMRI scan with water intake was the same a for glucose ingestion. fMRI data were processed with Intensity Averaging Method. MAIN OUTCOME MEASURES: The central response of hypothalamus and feedback orientation during OGTT in different body-weighted subjects. RESULTS: An acute transient decrease of fMRI intensity in posterior inferior and anterior inferior o hypothalamus was observed in all subjects within 2 minutes after oral glucose intake. This decrease wa followed by a recovery to the baseline. However, obese subjects had a delayed intensity decrease [(1.96± 1.06) minutes vs. (1.04±0.71) minutes, t =2.14, P < 0.05] and longer recovery time [(26.62±7.35 minutes vs. (16.29±6.42) minutes, t =3.67, P < 0.01] as compared with normal body-weight subjects Furthermore, decreased fMRI intensity was significant different from baseline intensity [(5.7±2.5)% vs (14.3±5.5)%, t =2.56, P < 0.05] in obese subjects, but not in normal body-weight subjects. The area o hypothalamus in normal body-weight volunteers demonstrated no significant signal change before and afte oral water ingestion (P > 0.05). CONCLUSION: Hypothalamus response to glucose loading is different in normal body-weighted and obes subjects. This suggests that fMRI is a useful tool to evaluate the central regulation of glucose metabolism. | Min Chen Yunting Zhang Tiemei Zhang Cheng Zhou Xiaomeng Wu Kui Cai Zhenghan Yang Wenchao Wang Weifeng Zhao Saying Li Zhi Wang Guozhen Li | 2007 | Neural Regeneration Research2007，2，9： | 1 |
| 5 | Clinical practice guideline for body composition assessment based on upper abdominal magnetic resonance images annotated using artificial intelligence显示文摘Introduction Upper abdominal magnetic resonance(MR)imaging is appropriate for body composition analysis.111 Especially for individuals with obesity,it is of great value to quantify the hepatic proton density fat fraction(PDFF)and the amount of abdominal adipose tissue during clinical evaluation and for research on obesity-related risks.Analytical results may be used to determine the optimal choice of surgical procedure and evaluate treatment outcomes.Multiple artificial intelligence(Al)algorithms and systems have been developed for the automated measurement of body composition.The basis of Al development and application is to have uniform standards for clinical data acquisition and management.The uneven quality ofMR images is one ofthe major obstacles to Al system development and analytical results.A standardized process of MR scanning and clinical data management is urgently needed. | Han Lv Mengyi Li Zhenchang Wang Dawei Yang Hui Xu Juan Li Yang Liu Di Cao Yawen Liu Xinru Wu He Jin Peng Zhang Liqin Zhao Rixing Bai Yunlong Yue Bin Li Nengwei Zhang Mingzhu Zou Jinghai Song Weibin Yu Pin Zhang Weijun Tang Qiyuan Yao Liheng Liu Hui Yang Zhenghan Yang Zhongtao Zhang National Clinical Research Center for Digestive Diseases in Beijing Friendship Hospital,Capital Medical University Beijing Quality Control and Improvement Center of Medical Imaging National Health Commission Capacity Building and Continuing Education Center,Chinese College of Metabolic and Bariatric Surgeons Beijing Quality Control and Improvement Center of Metabolic and Bariatric Surgery | 2022 | Chinese Medical Journal2022，，6： | 1 |
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