Publications by authors named "Shang Wan"

11 Publications

  • Page 1 of 1

CT-derived quantitative liver volumetric parameters for prediction of severe esophageal varices and the risk of first variceal hemorrhage.

Eur J Radiol 2021 Sep 30;144:109984. Epub 2021 Sep 30.

Department of Radiology, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu 610041, PR China. Electronic address:

Purpose: To assess whether CT (computed tomography)-derived quantitative parameters of liver lobe volume can predict severe esophageal varices (EV) and the risk of first varicealhemorrhage (FVH) in patients with liver cirrhosis.

Methods: A total of 217 endoscopically confirmed EV patients were included in this retrospective study and were divided into a low-risk EV group (mild-to-moderate EV, n = 83) and a high-risk EV group (severe EV, n = 134), a FVH group (n = 17) and a non-FVH group (n = 27), patients' clinical findings were recorded. The left, right, caudate lobe, total liver volume and the corresponding functional volume were measured respectively, and the ratio of caudate volume/total volume (CV/TV), caudate functional volume/total functional volume (CFV/TFV) were calculated. Univariate and multivariate logistic analysis were used to determine the independent factors and the receiver operating characteristic (ROC) curves were performed to evaluate the diagnostic performance.

Results: CV, CFV, CV/TV, CFV/TFV were significantly different in the EV severity study and FVH study (p < 0.05). Multivariate analysis indicated that CV/TV and ascites were independent predictive factors for severe EV, a predictive model combing those two factors revealed a satisfactory diagnostic performance (area under the curve (AUC), 0.853, 95 %CI 0.797-0.905). Furthermore, CV/TV and the presence of red color sign under endoscopy were found to be independent predictive factors for FVH, and the former showed a better discriminative performance than the latter (AUC, 0.851 vs 0.779).

Conclusions: CT-derived quantitative parameters of CV, CFV, CV/TV, CFV/TFV may be used as an alternative to endoscopy in predicting severe varices and the risk of bleeding.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
September 2021

Noninvasive imaging assessment of portal hypertension: where are we now and where does the future lie?

Expert Rev Mol Diagn 2021 Apr 30;21(4):343-345. Epub 2021 Mar 30.

Department of Radiology, West China Hospital, Sichuan University, Chengdu, P. R. China.

View Article and Find Full Text PDF

Download full-text PDF

Source Listing
April 2021

An Unexpected Case Report of Adrenal Lymphangioma: Mimicking Metastatic Tumor on Imaging in a Patient With Pancreatic Cancer.

Front Endocrinol (Lausanne) 2020 6;11:610744. Epub 2021 Jan 6.

Department of Radiology, West China Hospital of Sichuan University, Chengdu, China.

Adrenal lymphangioma is a very rare benign lesion worldwide and remains challenging for early diagnosis, especially when the patient has some complicated clinical disease. This is an unusual case of a 68-year-old man who was admitted to our hospital with a history of pancreatic tumor. Computed tomography (CT) images and subsequent magnetic resonance imaging (MRI) revealed a mass located in the left adrenal gland, presenting a similar enhancement pattern of the pancreatic tumor, and according to the imaging features, the patient was suspected to have an adrenal metastatic tumor originating from the pancreatic tumor. The patient underwent a surgical resection of the pancreatic tumor and the left adrenal gland. The pathologic diagnosis proved to be lymphangioma deriving from the left adrenal gland. This is the first report presenting an atypical adrenal lymphangioma mimicking a metastatic tumor of pancreatic origin, which might be suggestive in the diagnosis of adrenal lesions and the subsequent clinical treatment, especially when patient has a particular medical history. As we know, imaging examination is helpful for accurate preoperative diagnosis; however, the diagnosis of malignant tumor solely based on imaging procedures should be made cautiously by radiologists.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
May 2021

Current and Potential Applications of Artificial Intelligence in Gastrointestinal Stromal Tumor Imaging.

Contrast Media Mol Imaging 2020 26;2020:6058159. Epub 2020 Nov 26.

Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, Sichuan Province, China.

The most common mesenchymal tumors are gastrointestinal stromal tumors (GISTs), which have malignant potential and can occur anywhere along the gastrointestinal system. Imaging methods are important and indispensable of GISTs in diagnosis, risk staging, therapy, and follow-up. The recommended imaging method for staging and follow-up is computed tomography (CT) according to current guidelines. Artificial intelligence (AI) applies and elaborates theses, procedures, modes, and utilization systems for simulating, enlarging, and stretching the intellectual capacity of humans. Recently, researchers have done a few studies to explore AI applications in GIST imaging. This article reviews the present AI studies in GISTs imaging, including preoperative diagnosis, risk stratification and prediction of prognosis, gene mutation, and targeted therapy response.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
November 2020

A New Diagnostic Criterion with Gadoxetic Acid-Enhanced MRI May Improve the Diagnostic Performance for Hepatocellular Carcinoma.

Liver Cancer 2020 Aug 14;9(4):414-425. Epub 2020 Apr 14.

Department of Radiology, West China Hospital, Sichuan University, Chengdu, China.

Background: To prospectively establish and validate new diagnostic criterion (DC) for liver-specific contrast agents and further compared the diagnostic sensitivity and specificity with conventional DC.

Methods: Institutional Review Board approved and written informed consent were obtained for this prospective study. Two board-certified reviewers established the reference standard as hepatocellular carcinoma (HCC), non-HCC lesions by using marks on all cross-sectional MR images. Another 2 abdominal radiologists independently performed the marked lesion observations using 5 different DCs, including DC-1: arterial phase hyperenhancement (APHE) and portal venous phase washout; DC-2: APHE and hepatobiliary phase (HBP) hypointensity; DC-3: APHE and diffusion-weighted imaging (DWI) hyperintensity; DC-4: HBP hypointensity and DWI hyperintensity; DC-5: HBP hypointensity, DWI hyperintensity and excluded these markedly T2 hyperintensity. Diagnostic performance of sensitivity, specificity, and accuracy for each imaging DC was calculated, per-lesion diagnostic sensitivity and specificity of imaging criteria were compared by using test.

Results: A total of 215 patients were included (mean age 53.82 ± 11.24 years; range 24-82 years) with 265 hepatic nodules (175 HCCs and 90 non-HCCs). The DC-4 (93.71%; 164/175) and DC-5 (92.57%; 162/175) yielded the highest diagnostic sensitivity and was better than DC-1 (72.57%; 127/175), DC-2 (82.86%; 145/175), and DC-3 (82.29%; 144/175) (all < 0.001). The specificity of DC-1 (94.44%; 85/90) was significantly higher than that with DC-2 (83.33%; 75/90), DC-3 (84.44%; 76/90), DC-4 (74.44%; 67/90), and DC-5 (82.22%; 74/90) (all < 0.05). Additionally, the DC-4 and DC-5 achieved the highest area under curve value of 0.841 (95% CI 0.783-0.899) and 0.874 (95% CI 0.822-0.925).

Conclusions: The combined use of HBP hypointensity and DWI hyperintensity as a new DC for HCC enables a high diagnostic sensitivity and comparable specificity.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
August 2020

Use of computed tomography for distinguishing heterotopic pancreas from gastrointestinal stromal tumor and leiomyoma.

Abdom Radiol (NY) 2021 01 1;46(1):168-178. Epub 2020 Jul 1.

Department of Radiology, West China Hospital, Sichuan University, Chengdu, 610041, Sichuan Province, China.

Purpose: To determine whether morphologic features and semiquantitative parameters of computed tomography (CT) could be used to distinguish heterotopic pancreas from gastrointestinal stromal tumor (GIST) and leiomyoma.

Methods: This retrospective study evaluated CT images of heterotopic pancreases (n = 28), GISTs (n = 57), and leiomyomas (n = 26) located in the upper gastrointestinal tract. Morphologic imaging features of lesions were analyzed, including location, contour, margin, attenuation, growth pattern, enhancement type, enhancement degree, enlarged vessels feeding or draining the mass, hyperenhancement of the overlying mucosa, low intralesional attenuation, calcification, and a duct-like structure. Semiquantitative parameters included long diameter (LD), short diameter (SD), LD/SD ratio, and lesion and aorta CT values during plain CT (Lp and Ap), arterial phase (La and Aa), and venous phase (Lv and Av). Diagnostic performance of these findings and parameters were evaluated by receiver operating characteristic (ROC) analysis.

Results: Morphologic CT findings (including lesion contour, margin, attenuation, growth pattern, enhancement type, and enhancement degree) and semiquantitative parameters except for LD/SD were demonstrated to be significant for differentiating heterotopic pancreas from GIST and leiomyoma (all P < 0.01). Of these, location, low intralesional attenuation, duct-like structure and LD, SD, Lv, and Sv values showed good diagnostic performance with the areas under curve (AUC) higher than 0.70. The presence of a duct-like structure demonstrated the best diagnostic ability with AUC of 0.929 [95% confidence interval (CI) 0.864-0.969], sensitivity of 5.7% (95% CI 67.3-96.0), and specificity of 100% (95% CI 95.7-100), respectively. When the three morphologic features (location, low intralesional attenuation, duct-like structure) were used in combination, the AUC was improved to 0.980 (95% CI 0.952-1).

Conclusion: CT features, especially the morphologic features, could be used to differentiate heterotopic pancreas from GIST and leiomyoma in the upper gastrointestinal tract and, thus, provide a more accurate method for non-invasive preoperative diagnosis. Additionally, the presence of a duct-like structure demonstrated to be a reliable indicator for heterotopic pancreas among the morphologic and semiquantitative CT features.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
January 2021

Quantitative analysis of chest CT imaging findings with the risk of ARDS in COVID-19 patients: a preliminary study.

Ann Transl Med 2020 May;8(9):594

Department of Radiology, West China Hospital, Sichuan University, Chengdu 610041, China.

Background: The coronavirus disease 2019 (COVID-19) has rapidly become a pandemic worldwide. The value of chest computed tomography (CT) is debatable during the treatment of COVID-19 patients. Compared with traditional chest X-ray radiography, quantitative CT may supply more information, but its value on COVID-19 patients was still not proven.

Methods: An automatic quantitative analysis model based on a deep network called VB-Net for infection region segmentation was developed. A quantitative analysis was performed for patients diagnosed as severe COVID 19. The quantitative assessment included volume and density among the infectious area. The primary clinical outcome was the existence of acute respiratory distress syndrome (ARDS). A univariable and multivariable logistic analysis was done to explore the relationship between the quantitative results and ARDS existence.

Results: The VB-Ne model was sensitive and stable for pulmonary lesion segmentation, and quantitative analysis indicated that the total volume and average density of the lung lesions were not related to ARDS. However, lesions with specific density changes showed some influence on the risk of ARDS. The proportion of lesion density from -549 to -450 Hounsfield unit (HU) was associated with increased risk of ARDS, while the density was ranging from -149 to -50 HU was related to a lowered risk of ARDS.

Conclusions: The automatic quantitative model based on VB-Ne can supply useful information for ARDS risk stratification in COVID-19 patients during treatment.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
May 2020

CT Manifestations and Clinical Characteristics of 1115 Patients with Coronavirus Disease 2019 (COVID-19): A Systematic Review and Meta-analysis.

Acad Radiol 2020 07 5;27(7):910-921. Epub 2020 May 5.

Department of Radiology, West China Hospital, Sichuan University, No. 37, Guoxue Alley, Chengdu, 610041, PR China. Electronic address:

Rationale And Objectives: We aimed to assess the prevalence of significant computed tomographic(CT) manifestations and describe some notable features based on chest CT images, as well as the main clinical features of patients with coronavirus disease 2019(COVID-19).

Materials And Methods: A systematic literature search of PubMed, EMBASE, the Cochrane Library, and Web of Science was performed to identify studies assessing CT features, clinical, and laboratory results of COVID-19 patients. A single-arm meta-analysis was conducted to obtain the pooled prevalence and 95% confidence interval (95% CI).

Results: A total of 14 articles (including 1115 patients) based on chest CT images were retrieved. In the lesion patterns on chest CTs, we found that pure ground-glass opacities (GGO) (69%, 95% CI 58-80%), consolidation (47%, 35-60%) and "air bronchogram sign" (46%, 25-66%) were more common than the atypical lesion of "crazy-paving pattern" (15%, 8-22%). With regard to disease extent and involvement, 70% (95% CI 46-95%) of cases showed a location preference for the right lower lobe, 65% (58-73%) of patients presented with ≥3 lobes involvement, and meanwhile, 42% (32-53%) of patients had involvement of all five lobes, while 67% (55-78%) of patients showed a predominant peripheral distribution. An understanding of some important CT features might be helpful for medical surveillance and management. In terms of clinical features, muscle soreness (21%, 95% CI 15-26%) and diarrhea (7%, 4-10%) were minor symptoms compared to fever (80%, 74-87%) and cough (53%, 33-72%).

Conclusion: Chest CT manifestations in patients with COVID-19, as well as its main clinical characteristics, might be helpful in disease evolution and management.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
July 2020

Multiparametric radiomics nomogram may be used for predicting the severity of esophageal varices in cirrhotic patients.

Ann Transl Med 2020 Mar;8(5):186

Department of Radiology, West China Hospital, Sichuan University, No.37, Guoxue Alley, Chengdu 610041, China.

Background: To explore whether a multiparametric radiomics nomogram on computed tomography (CT) images based on radiomics and relevant parameters of esophageal varices (EV) can be used for predicting the EV severity in patients with cirrhotic livers.

Methods: From January 2016 to August 2018, 136 consecutive patients with clinicopathologically confirmed liver cirrhosis were included for the development of a predictive model. The patients were then divided into two groups, including non-conspicuous EV group (mild-to-moderate EV, n=30) and conspicuous EV group (severe EV, n=106) by using the endoscopic validation as the reference standard. The radiomic scores (Rad scores) were constructed using the binary logistic regression model from the radiomics features of regions of interest (ROIs) in the left liver (LL) and right liver (RL), respectively. The multiparametric nomogram combined the best performance Rad-score and EV-relevant factors, and the calibration, discrimination, and clinical usefulness of developed nomogram were evaluated using calibration curves, decision curve analysis (DCA) and net reclassification index (NRI) analysis respectively.

Results: The LL Rad-score calculated from radiomics features was selected with a relatively higher area under the curve (AUC) (AUC; 0.88, training cohort; 0.87, the validation cohort) compared with RL Rad-score (AUC; 0.86, training cohort; 0.83, the validation cohort). In addition, cross-sectional surface area (CSA) was identified as the important predictor (P<0.05), the multiparametric nomogram containing LL Rad-score and CSA was shown to have a better predictive performance and good calibration in the training model (C-index, 0.953, 95% CI, 0.892 to 0.973) and the validation cohort (C-index, 0.938, 95% CI, 0.841 to 0.961), resulting in an improved NRI (categorical NRI of 25.9%, P=0.0128; continuous NRI of 120%, P<0.001) and integrated discriminatory improvement (IDI) (IDI =13.9%, P<0.001). DCA demonstrated that the multiparametric radiomics nomogram was clinically useful.

Conclusions: A multiparametric radiomics nomogram, which incorporates the liver radiomics signature and EV-relevant indices, is a useful tool for noninvasively predicting EV severity and may complement the standard endoscopy for evaluating EV severity in patients with cirrhosis.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
March 2020

Computed Tomographic Portography with Esophageal Variceal Measurements in the Evaluation of Esophageal Variceal Severity and Assessment of Esophageal Variceal Volume Efficacy.

Acad Radiol 2020 04 11;27(4):528-535. Epub 2019 Jul 11.

Department of Radiology, West China Hospital of Sichuan University, Chengdu, Sichuan Province 610000, China. Electronic address:

Rationale And Objectives: The aim of our study is to evaluate the severity of esophageal varices (EV), based on the computed tomographic portography (CTP) measurement of EV in the distal esophagus and to assess the prediction value of EV volume.

Patients And Methods: A total of 53 EV patients examined by CTP within 4 weeks of upper endoscopy were evaluated, the patients were divided into a nonconspicuous EV group (mild-to-moderate EV, n = 28) and a conspicuous EV group (severe EV, n = 25) according to endoscopy results. The diameter, cross-sectional surface area (CSA), and volume of EV were measured independently using 3D-slicer (Boston) by two experienced abdominal radiologists blinded to endoscopy findings. The averaged values measured by the two observers were used in the final dataset, these indicators' predictive performances were studied by using receiver operating characteristic curve analysis, and the area under the curve (A) and the cutoff values were calculated to distinguish mild-to-moderate from severe EV.

Results: The A values of volume, diameter and CSA in differentiating severe EV were 0.817, 0.794, and 0.784 for observer-1, corresponding values for observer-2 were 0.796, 0.774, and 0.707, there was almost perfect interobserver agreement for all measurements. All indices were larger in the conspicuous group than the nonconspicuous group in both observers (p ≤ 0.01). In the final dataset, application of a 654.0-mm-volume criterion yielded sensitivity, specificity of 96%, 50%, application of a 5.2-mm-diameter criterion yielded sensitivity, specificity of 80%, 75%, and application of a 68.6-mm-CSA criterion yielded sensitivity, specificity of 52%, 93%.

Conclusion: The volume of EV could be used as a new effective indictor for evaluating EV, and use of volume, diameter, and CSA of EV based on CTP allows discrimination between mild-to-moderate and severe EV in cirrhotic patients.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
April 2020

Stroke subtype classification: a comparative study of ASCO and modified TOAST.

J Neurol Sci 2012 Mar 25;314(1-2):66-70. Epub 2011 Nov 25.

Neurology Department, Third Hospital of Hebei Medical University, Shijiazhuang, Hebei, China.

Background And Purpose: The ASCO stroke classification may be an improvement over the modified TOAST for etiological diagnoses. We aimed to compare the differences in stroke subtype classification between these two classification system.

Methods: Selected for this study were 425 first-time acute ischemic stroke patients. For each, the cause of ischemic stroke was classified according to both the ASCO and modified TOAST criteria. The κ statistic and McNemar test were used to compare the similarities and differences, respectively, between the two approaches.

Results: More patients were classified as having an atherosclerotic etiology under the ASCO 1 category than the modified TOAST system (60.2% vs. 57.9%; P=0.132). There was no significant difference between the proportion of patients with undetermined etiology as defined by the ASCO 1 and the modified TOAST (15.5% vs. 16.2%; P=0.795). Both the modified TOAST and ASCO-1 correctly identified all patients with etiology "other cause". Agreement between the two classification systems was high in every subtype category except 'undetermined' (κ>0.81 for atherosclerosis, κ=0.61 to κ=0.8 for cardiac disease, and κ=0.480 for undetermined). When ASCO-1 to ASCO 3 were applied, atherosclerosis was identified as the cause in 76.0% of patients, small artery disease in 46.4%, and cardiac disease in 11.3%.

Conclusion: There is a moderately high agreement between the ASCO and modified TOAST classification schemes in all subtypes except that of "undetermined" etiology. Application of ASCO-1 did not reduce the proportion of patients 'undetermined' etiology compared to modified TOAST.
View Article and Find Full Text PDF

Download full-text PDF

Source Listing
March 2012