Shi‐Ting Feng

The First Affiliated Hospital, Sun Yat-sen University

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Yanji Luo

The First Affiliated Hospital, Sun Yat-sen University

Zhenpeng Peng

The First Affiliated Hospital, Sun Yat-sen University

Ziping Li

Union Hospital

Canhui Sun

The First Affiliated Hospital, Sun Yat-sen University

Zhi Dong

Sun Yat-sen University

Xuehua Li

Shanghai Liangyou (China)

Bingsheng Huang

Shenzhen University

Huasong Cai

The First Affiliated Hospital, Sun Yat-sen University

Junzhao Ye

The First Affiliated Hospital, Sun Yat-sen University

Zi-Ping Li

The First Affiliated Hospital, Sun Yat-sen University

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Sun Yat-sen University

549

The First Affiliated Hospital, Sun Yat-sen University

439

Chinese Academy of Medical Sciences & Peking Union Medical College

Sun Yat-sen University Cancer Center

Peking University

Chinese Academy of Sciences

Southern Medical University

Central South University

Fudan University

Shanghai Jiao Tong University

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Impact of skeletal muscle mass evaluating methods on severity of metabolic associated fatty liver disease in non-elderly adults

British Journal Of Nutrition (2023)

Ting Zhou Junzhao Ye Yansong Lin Wei Wang Shi‐Ting Feng

The study aimed to explore the relationships of skeletal muscle mass with disease severity in metabolic-associated fatty liver disease (MAFLD) patients with different methods. Consecutive subjects undergoing bioelectrical impedance analysis were included. The steatosis grade and liver fibrosis were evaluated by MRI-derived proton density fat fraction and two-dimensional shear wave elastography. The appendicular skeletal muscle mass (ASM) was adjusted by height2 (ASM/H2), weight (ASM/W) and BMI (ASM/BMI). Overall, 2223 subjects (50·5 %, MAFLD; 46·9 %, male) were included, with the mean age 37·4 ± 10·6 years. In multivariate logistic regression analysis, the subjects with the lowest quartile (Q1) of ASM/W or ASM/BMI had higher risk ratios for MAFLD (OR (95 % CI) in male: 2·57 (1·35, 4·89), 2·11(1·22, 3·64); in female: 4·85 (2·33, 10·01), 4·81 (2·52, 9·16), all P < 0·05, all for Q1 v. Q4). The MAFLD patients with lower quartiles of ASM/W had the higher risk OR for insulin resistance (IR), both in male and female (2·14 (1·16, 3·97), 4·26 (1·29, 14·02) for Q4 v. Q1, both P < 0·05). While the significant OR were not observed when ASM/H2 and ASM/BMI were used. There were significant dose-dependent associations between decreased ASM/W as well as ASM/BMI and moderate-severe steatosis (2·85(1·54, 5·29), 1·90(1·09, 3·31), both P < 0·05) in male MAFLD patients. In conclusion, ASM/W is superior to ASM/H2 and ASM/BMI in predicting the degree of MAFLD. A lower ASM/W is associated with IR and moderate-severe steatosis in non-elderly male MAFLD.

Bioelectrical Impedance Analysis

Steatosis

Quartile

10.1017/s0007114523000399

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Pretreatment prediction of Immunoscore in hepatocellular cancer: a radiomics-based clinical nomogram based on Gd- EOB-DTPA enhanced-MRI

Cancer Biology and Medicine (2018)

Shuling Chen Shi‐Ting Feng Han Xiao Mimi Tang Zhihang Chen

Objective: To develop and validate a radiomics nomogrambased on gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA) enhanced magnetic resonance imaging (MRI)for pretreatment prediction of Immunoscore (0–2 vs. 3–4) inhepatocellular carcinoma (HCC) patients. Methods: The study included 207 (training cohort: n = 150;validation cohort: n = 57) HCC patients with hepatectomywho underwent preoperative Gd-EOB-DTPA-enhanced MRI.The volumes of interest enclosing hepatic lesions, includingintratumoral and peritumoral regions, were manuallydelineated in the hepatobiliary phase of MRI images, fromwhich 1,044 quantitative features were extracted and analyzed.The Extremely Randomized Tree method was used toselect radiomics features for building a radiomics model. Aradiomics-based clinical nomogram was developed based onthe selected radiomics features and significant clinical variablesassociated with Immunoscore. Nomogram discrimination andcalibration were also assessed. Results: The combined intratumoral and peritumoralradiomics model showed a better predicting performance inImmunoscore than the intratumoral radiomics model [areaunder the receiver operating characteristic curve (AUC), 0.904(95% CI: 0.855–0.953) vs. 0.823 (95% CI: 0.747–0.899), P =0.036]. The radiomics-based clinical nomogram showed animprovement over the combined radiomics model regardingpredicting Immunoscore in the training cohort [AUC, 0.926(95% CI: 0.884–0.967) vs. 0.904 (95% CI: 0.855–0.953)],although the differences were not statistically significant (P =0.128). Results were confirmed in the validation cohort andcalibration curves showed good agreement. Conclusions: Radiomics-based clinical nomogram incorporatingclinical data and the combined radiomics features from Gd-EOB-DTPA enhanced MRI images is effective in predictingImmunoscore of HCC patients, and may therefore assist cliniciansto asseess potential benefits of prognosis before treatment. DOI: 10.20892/j.issn.2095-3941.2018.S023

Nomogram

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IDDF2023-ABS-0128 Ct-based nomogram development and validation to predict SSTR2, VEGFR2, and mgmt expression for pancreatic neuroendocrine neoplasms

Clinical gastroenterology (2023)

Xiaoqi Zhou Chenyu Song Lujie Li Yangdi Wang Shi‐Ting Feng

10.1136/gutjnl-2023-iddf.189

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Prediction of immunocyte infiltration and prognosis in postoperative hepatitis B virus-related hepatocellular carcinoma patients using magnetic resonance imaging

Gastroenterology report (2023)

Chenyu Song Mengqi Huang Xiaoqi Zhou Yuying Chen Zhoulei Li

Abstract Background The immune microenvironment (IME) is closely associated with prognosis and therapeutic response of hepatitis B virus-related hepatocellular carcinoma (HBV-HCC). Multi-parametric magnetic resonance imaging (MRI) enables non-invasive assessment of IME and predicts prognosis in HBV-HCC. We aimed to construct an MRI prediction model of the immunocyte-infiltration subtypes and explore its prognostic significance. Methods HBV-HCC patients at the First Affiliated Hospital of Sun Yat-sen University (Guangzhou, China) with radical surgery (between 1 October and 30 December 2021) were prospectively enrolled. Patients with pathologically proven HCC (between 1 December 2013 and 30 October 2019) were retrospectively enrolled. Pearson correlation analysis was used to examine the relationship between the immunocyte-infiltration counts and MRI parameters. An MRI prediction model of immunocyte-infiltration subtypes was constructed in prospective cohort. Kaplan–Meier survival analysis was used to analyse its prognostic significance in the retrospective cohort. Results Twenty-four patients were prospectively enrolled to construct the MRI prediction model. Eighty-nine patients were retrospectively enrolled to determine its prognostic significance. MRI parameters (relative enhancement, ratio of the apparent diffusion coefficient value of tumoral region to peritumoral region [rADC], T1 value) correlated significantly with the immunocyte-infiltration counts (leukocytes, T help cells, PD1+Tc cells, B lymphocytes). rADC differed significantly between high and low immunocyte-infiltration groups (1.47 ± 0.36 vs 1.09 ± 0.25, P = 0.009). The area under the curve of the MRI model was 0.787 (95% confidence interval 0.587–0.987). Based on the MRI model, the recurrence-free time was longer in the high immunocyte-infiltration group than in the low immunocyte-infiltration group (P = 0.026). Conclusions MRI is a non-invasive method for assessing the IME and immunocyte-infiltration subtypes, and predicting prognosis in post-operative HBV-HCC patients.

Infiltration (HVAC)

10.1093/gastro/goae009

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IDDF2018-ABS-0098 Preoperative prediction of microvascular invasion in hepatocellular cancer: a radiomics model using GD-EOB-DTPA enhanced MRI

Mimi Tang Shi‐Ting Feng Sui Peng Ming Kuang

Background

Preoperative prediction of microvascular invasion (MVI) in patients with hepatocellular cancer (HCC) is important for surgery strategy making. We aimed to develop and validate a combined intratumoral, and peritumoral radiomics model based on Gadolinium-ethoxybenzyl-diethylenetriamine (Gd-EOB-DTPA) enhanced magnetic resonance imaging (MRI) for preoperative prediction of MVI in primary HCC patients.

Methods

This study included a training cohort of 110 HCC patients and a validating cohort of 50 HCC patients. All the patients underwent preoperative Gd-EOB-DTPA enhanced MRI examination and curative hepatectomy. The volumes of interest (VOIs) around the hepatic lesions including intratumoral and peritumoral regions were manually delineated in the hepatobiliary phase of MRI images, from which quantitative features were extracted and analysed. In the training cohort, the machine-learning method was applied to dimensionality reduction and selection of the extracted features.

Results

The proportion of MVI-positive patients was 38.2% and 40.0% in the training and validation cohort respectively. Supervised machine-learning selected ten features to establish a predictive model for MVI. The area under the receiver operating characteristic curve (AUC), sensitivity, specificity of the combined intratumoral and peritumoral radiomics model in the training and validation cohort were 0.85 (95% confidence interval [CI], 0.77–0.93), 88.2%, 76.2% and 0.83 (95% CI, 0.71–0.95), 90.0%, 75.0%, respectively.

Conclusions

We evaluate quantitative Gd-EOB-DTPA enhanced MRI image features of both intratumoral and peritumoral regions and provided an effective radiomics-based model for prediction of MVI in HCC patients, and may, therefore, assist clinicians to make precise treatment decision before the surgery.

10.1136/gutjnl-2018-iddfabstracts.206

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Sixty-Four–Slice Computed Tomography Angiography of Perigastric Veins With Image Fusion

Journal of Computer Assisted Tomography (2013)

Xuehua Li Jian-Ping Chu Canhui Sun Margaret H. Pui Si-yun Huang

The objective of this study was to assess the efficacy and clinical value of 64-slice computed tomography angiography (CTA) with image fusion for demonstrating the perigastric venous anatomy.Twenty-six patients with gastric cancer underwent abdominal CTA examinations. Computed tomography angiography of stomach and perigastric veins and arteries were reconstructed and fused using volume-rendering technique. The inflow and courses of perigastric veins as well as the spatial relationship among the perigastric veins, arteries, and stomach were compared with surgery.Compared with surgical findings, the visualization rate of the 7 perigastric veins on CTA was 90.9% to 100%. There was a statistically significant decrease in number of short gastric veins identified on CTA compared with surgery (P = 0.004). There was no statistically significant difference between the 2 modalities in detecting other perigastric veins including the left gastric vein, right gastric vein, right gastroepiploic vein, left gastroepiploic vein, posterior gastric vein, and gastrocolic trunk (P = 0.317, P = 0.157, P = 1, P = 1, P = 0.317, P = 1, respectively).Sixty-four-slice CTA with image fusion clearly depicts most of perigastric veins and their relationship with the stomach and perigastric arteries. It can facilitate gastrectomy.

10.1097/rct.0b013e31827ddaf9

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Constructing an Experiential Education Model in Undergraduate Radiology Education by the Utilization of the Picture Archiving and Communication System (PACS)

Research Square (Research Square) (2019)

Yingqian Chen Keguo Zheng Shanshan Ye Jifei Wang Ling Xu

Abstract Background Medical education in China is in a transitional period, from passive learning models to experiential education. We developed an experiential education method for radiology education. The aim of this study is to evaluate the effect of this method on undergraduate radiology education. Method With the help of the picture archiving and communication system (PACS) and RadiAnt DICOM Viewer, we developed an experiential education method that simulates similar working conditions for undergraduate medical students to formulate radiology diagnosis similar to clinical radiologists. A total of 101 students were allocated into either the experimental group or the control group. The final examination scores and a 5-point Likert scale self-assessment questionnaire of radiologic skills were collected from all the students as an objective assessment and a subjective assessment respectively. A questionnaire was also used to assess the satisfaction with the experiential model in the experimental group. Mann-Whitney U test was used to compare the ranked data, and t-tests were used to compare the numeric data. Results The experimental group demonstrated significantly higher scores (7.4±1.3) compared to the control group (6.7±1.5, p <0.05) in the question type “description and diagnosis”. The self-assessment questionnaire indicated that the experiential education was related to increased familiarity with the diagnosis thinking principle and the sequences and reconstruction methods of computer tomography (CT) imaging, which also strengthen participants’ self-confidence to perform future clinical work (p <0.05). The self-assessment questionnaire in the experimental group showed that the majority of students were satisfied with the organization (82.5%), interactivity (85%) and quality (85%) of the learning activity. Most students found this model of learning to be helpful for studying radiology (85%) and for understanding anatomy (90%). Conclusion Compared with the traditional radiology education approach, the experiential education method showed greater efficacy in improving students’ analysis and diagnostic skills and their self-confidence.

DICOM

10.21203/rs.2.9887/v1

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Constructing an Experiential Education Model in Undergraduate Radiology Education by the Utilization of the Picture Archiving and Communication System (PACS)

Research Square (Research Square) (2019)

Yingqian Chen Keguo Zheng Shanshan Ye Jifei Wang Ling Xu

Abstract Background Medical education in China is in a transitional period changing from passive learning to experiential education models. We have modified an experiential education method for radiology education. The aim of this study is to evaluate the effect of this method on undergraduate radiology education. Methods With the help of the picture archiving and communication system (PACS) and RadiAnt DICOM Viewer, we have modified an experiential education method that simulates similar working conditions for undergraduate medical students to take on the role as clinical radiologists and formulate radiology diagnosis. A total of 101 students were allocated into either the experiential education group [Office1] or the control group. The final examination scores and a 5-point Likert scale self-assessment questionnaire of radiologic skills were collected from all the students as an objective assessment and a subjective assessment respectively. A questionnaire was also used to assess the satisfaction with the experiential model in the experiential education group. Mann-Whitney U test was used to compare the ranked data, and t -tests were used to compare the numeric data. Results The experiential education group demonstrated significantly higher scores (7.4±1.3) in the short answer type questions on imaging “description and diagnosis” when compared to the control group (6.7±1.5, p <0.05). The self-assessment questionnaire indicated that the experiential education corresponded to an increased familiarity with the diagnostic principles, the imaging sequences and reconstruction methods of computer tomography (CT), which also strengthen participants’ confidence to perform future clinical work (p <0.05). The self-assessment questionnaire from the experiential education group showed great satisfaction with the organization (82.5%), interactivity (85%) and quality (85%) of the learning activity in majority of students. Most students found this model of learning to be helpful for studying radiology (85%) and for understanding anatomy (90%). Conclusion Compared with the traditional radiology education approach, the experiential education model showed greater efficacy in improving students’ analytical and diagnostic skills as well as clinical confidence.

DICOM

10.21203/rs.2.9887/v5

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Combined Volumetric and Density Analyses of Contrast-Enhanced CT Imaging to Assess Drug Therapy Response in Gastroenteropancreatic Neuroendocrine Diffuse Liver Metastasis

Contrast Media & Molecular Imaging (2018)

Yi Wang Kun Huang Jie Chen Yanji Luo Yu Zhang

Objective . We propose a computer-aided method to assess response to drug treatment, using CT imaging-based volumetric and density measures in patients with gastroenteropancreatic neuroendocrine tumors (GEP-NETs) and diffuse liver metastases. Methods . Twenty-five patients with GEP-NETs with diffuse liver metastases were enrolled. Pre- and posttreatment CT examinations were retrospectively analyzed. Total tumor volume (volume) and mean volumetric tumor density (density) were calculated based on tumor segmentation on CT images. The maximum axial diameter (tumor size) for each target tumor was measured on pre- and posttreatment CT images according to Response Evaluation Criteria In Solid Tumors (RECIST). Progression-free survival (PFS) for each patient was measured and recorded. Results . Correlation analysis showed inverse correlation between change of volume and density (Δ( V + D )), change of volume (Δ V ), and change of tumor size (Δ S ) with PFS ( r = −0.653, P=0.001; r = −0.617, P=0.003; r = −0.548, P=0.01, respectively). There was no linear correlation between Δ D and PFS ( r = −0.226, P=0.325). Conclusion . The changes of volume and density derived from CT images of all lesions showed a good correlation with PFS and may help assess treatment response.

10.1155/2018/6037273

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Citations (3)

Prediction of sorafenib treatment–related gene expression for hepatocellular carcinoma: preoperative MRI and histopathological correlation

European Radiology (2018)

Zhi Dong Kun Huang Bing Liao Huasong Cai Yu Dong

Gadoxetic acid

Capsule

Neuroradiology

Interventional radiology

10.1007/s00330-018-5882-4

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Citations (19)