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  • 1
    In: International Journal of Clinical Practice, Hindawi Limited, Vol. 70, No. 9B ( 2016-09), p. B29-B36
    Type of Medium: Online Resource
    ISSN: 1368-5031
    Language: English
    Publisher: Hindawi Limited
    Publication Date: 2016
    detail.hit.zdb_id: 2135320-7
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  • 2
    Online Resource
    Online Resource
    Frontiers Media SA ; 2020
    In:  Frontiers in Medicine Vol. 7 ( 2020-7-3)
    In: Frontiers in Medicine, Frontiers Media SA, Vol. 7 ( 2020-7-3)
    Type of Medium: Online Resource
    ISSN: 2296-858X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2020
    detail.hit.zdb_id: 2775999-4
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  • 3
    In: Insights into Imaging, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2022-10-11)
    Abstract: To evaluate the association between adipose tissue distribution and early allograft dysfunction (EAD) in liver transplantation (LT) recipients. Methods A total of 175 patients who received LT from April 2015 to September 2020 were enrolled in this retrospective study. The areas of abdominal adipose tissue and skeletal muscle of all patients were measured based on the preoperative CT images. The appropriate statistical methods including the propensity score-matched (PSM) analysis were performed to identify the association between adipose tissue distribution and EAD. Results Of 175 LT recipients, 55 patients (31.4%) finally developed EAD. The multivariate logistic analysis revealed that preoperative serum albumin (odds ratio (OR) 0.34, 95% confidence interval (CI) 0.17–0.70), platelet–lymphocyte ratio (OR 2.35, 95% CI 1.18–4.79), and visceral adipose tissue (VAT) area (OR 3.17, 95% CI 1.56–6.43) were independent associated with EAD. After PSM analysis, VAT area was still significantly associated with EAD (OR 3.95, 95% CI 1.16–13.51). In survival analysis, no significant difference was identified in one-year graft failure (log-rank: p  = 0.487), and conversely result was identified in overall survival (OS) (log-rank: p  = 0.012; hazard ratio (HR) 4.10, 95% CI 1.27–13.16). Conclusions LT recipients with high VAT area have higher risk for the occurrence of EAD, and high VAT area might have certain clinical value for predicting the poor OS of patients. For LT candidates with large amount of VAT, the clinicians can take clinical interventions by suggesting physical and nutritional treatments to improve outcomes after LT.
    Type of Medium: Online Resource
    ISSN: 1869-4101
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2543323-4
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  • 4
    In: Frontiers in Oncology, Frontiers Media SA, Vol. 12 ( 2022-10-18)
    Abstract: To improve understanding of diffusion weighted imaging (DWI) characteristic of MRI and clinical variables, further optimize the Bosniak classification for diagnosis of cystic renal masses (CRMs). Methods This study retrospectively analyzed 130 CRMs in 125 patients with CT or MRI, including 87 patients with DWI (b = 600, 1000 s/mm2). Clinical variables and histopathological results were recorded. Two radiologists in consensus analyzed images of each lesion for the size, thickness of wall, number of septum, enhancement of wall/septum, wall nodule, signal intensity on DWI, calcification, and cyst content. Clinical variables, CT and MRI image characteristics were compared with pathology or follow-up results to evaluate the diagnostic performance for CRMs. Results Of the 130 lesions in 125 patients, histological analysis reported that 36 were malignant, 38 were benign, and no change was found in 56 followed-up lesions (mean follow-up of 24 months). The incidences of cystic wall thickened, more septa, measurable enhancement of wall/septum, nodule(s) on CT/MRI, and high signal intensity on DWI were significantly higher in malignant than in benign CRMs (CT: p = 0.005, p & lt; 0.001, p & lt; 0.001, p & lt; 0.001, p & lt; 0.001; MRI: p & lt; 0.001, p & lt; 0.001, p & lt; 0.001, p & lt; 0.001, p & lt; 0.001, p & lt; 0.001). Combination of MRI including DWI features with CT findings showed the highest area under ROC curve (0.973) in distinguishing benign and malignant CRMs. Conclusions Incorporating DWI characteristic of CRMs into Bosniak classification helps to improve diagnostic efficiency.
    Type of Medium: Online Resource
    ISSN: 2234-943X
    Language: Unknown
    Publisher: Frontiers Media SA
    Publication Date: 2022
    detail.hit.zdb_id: 2649216-7
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  • 5
    In: SSRN Electronic Journal, Elsevier BV
    Type of Medium: Online Resource
    ISSN: 1556-5068
    Language: English
    Publisher: Elsevier BV
    Publication Date: 2020
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  • 6
    In: Cancer Medicine, Wiley, Vol. 7, No. 10 ( 2018-10), p. 4924-4931
    Abstract: To explore the application value of computed tomography (CT) texture analysis in differentiating atypical pancreatic neuroendocrine tumors (pNET) from pancreatic ductal adenocarcinomas (PDAC). Materials and methods This single‐center retrospective study was approved by local institutional review board, and the requirement for informed consent was waived. We retrospectively analyzed 127 patients with 50 PDACs and 77 pNETs in pathology database between January 2012 and May 2017.These patients successfully finished preoperative contrast‐enhanced CT test. Texture parameters (mean, median, 5th, 10th, 25th, 75th, 90th percentiles, skewness, kurtosis and entropy) were extracted from portal images and compared between PDAC and 77 pNET groups using proper statistical method. The optimal parameters for differentiating PDACs and atypical pNETs were gained through receiver operating characteristic (ROC) curves. Results On the basis of arterial enhancement, 52 pNETs (67%, 52/77) were typical hypervascular and 25 pNETs (32%, 25/77) were atypical hypovascular. Compared with PDACs, atypical pNETs had statistically higher mean, median, 5th, 10th, and 25th percentiles ( P  =   0.006, 0.024, 0.000, 0.001, 0.021, respectively) and statistically lower skewness ( P  =   0.017). However, there were no difference for 75th, 90th percentiles, kurtosis and entropy between these two tumors ( P =  0.232, 0.415, 0.143, 0.291, respectively). For differentiating PDACs and atypical pNETs, 5th percentile and 5th+skewness were optimal parameters for alone and combined diagnosis, respectively. Conclusion Volumetric CT texture features, especially combined diagnosis of 5th+skewness can be used as a quantitative tool to distinguish atypical pNETs from PDACs.
    Type of Medium: Online Resource
    ISSN: 2045-7634 , 2045-7634
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2018
    detail.hit.zdb_id: 2659751-2
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  • 7
    In: Insights into Imaging, Springer Science and Business Media LLC, Vol. 12, No. 1 ( 2021-12)
    Abstract: The efficacy of computed tomography-based multiple body composition parameters in assessing disease behavior and prognosis has not been comprehensively evaluated in Crohn’s disease. This study aimed to assess the association of body composition parameters with disease behavior and outcomes in Crohn’s disease and to compare the efficacies of indexes derived from body and lumbar spinal heights in body composition analysis. Results One hundred twenty-two patients with confirmed Crohn’s disease diagnoses and abdominal computed tomography scans were retrospectively included in this study. Skeletal muscle, visceral, and subcutaneous fat indexes were calculated by dividing each type of tissue area by height 2 and lumbar spinal height 2 . Parameters reflecting the distribution of adiposity were also assessed. Principal component analysis was used to deal with parameters with multicollinearity. Patients were grouped according to their disease behavior (inflammatory vs. structuring/penetrating) and outcomes. Adverse outcome included need for intestinal surgery or anti-TNF therapy. Predictors of disease course from multiple parameters were evaluated using multivariate analysis. Indexes derived from body and lumbar spinal heights were strongly correlated ( r , 0.934–0.995; p   〈  0.001). Low skeletal muscle-related parameters were significantly associated with complicated disease behavior in multivariate analysis ( p  = 0.048). Complicated disease behavior ( p   〈  0.001) and adipose tissue parameters-related first principal component ( p  = 0.029) were independent biomarkers for predicting adverse outcomes. Conclusions Skeletal muscle and adipose tissue principle component were associated with complicated Crohn’s disease behavior and adverse outcome, respectively. Indexes derived from body and lumbar spinal heights have similar efficacies in body composition analysis.
    Type of Medium: Online Resource
    ISSN: 1869-4101
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2021
    detail.hit.zdb_id: 2543323-4
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  • 8
    Online Resource
    Online Resource
    Ovid Technologies (Wolters Kluwer Health) ; 2019
    In:  Medicine Vol. 98, No. 5 ( 2019-02), p. e14226-
    In: Medicine, Ovid Technologies (Wolters Kluwer Health), Vol. 98, No. 5 ( 2019-02), p. e14226-
    Abstract: Hepatoid adenocarcinoma (HAC) is a rare extrahepatic adenocarcinoma that histologically resembles hepatocellular carcinoma (HCC). HAC of peritoneal cavity can present as a solitary mass or disseminated nodules indicating different treatment. Patient concerns: In this study, we present the cases of a 29-year-old man and a 64-year-old woman who suffered from HAC. Diagnosis: The serum alpha-fetoprotein (AFP) of both patients and ascites of 1 patient were markedly elevated. One patient presented with multiple nodular disseminated in the peritoneal cavity and the other patient has a mass between the left diaphragm and the spleen on computed tomography and magnetic resonance imaging. Intervention: The first patient underwent laparoscopic examination and multiple nodules were found in the peritoneal cavity, and only received chemotherapy. The second patient underwent surgery and resected the mass between left diaphragm and the spleen. Outcome: Histological examinations showed the nodule of the peritoneal cavity and mass belong to moderately differentiated HCC. HAC has a poor prognosis, but the 2 patients responded well to treatment. Lesson: HAC is frequently associated with elevated serum AFP without neoplasm in the liver. Histological and Immunohistochemistry examinations can help differential diagnosis.
    Type of Medium: Online Resource
    ISSN: 0025-7974 , 1536-5964
    Language: English
    Publisher: Ovid Technologies (Wolters Kluwer Health)
    Publication Date: 2019
    detail.hit.zdb_id: 2049818-4
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  • 9
    In: Journal of Magnetic Resonance Imaging, Wiley, Vol. 49, No. 4 ( 2019-04), p. 975-983
    Abstract: Accurate differentiation between intrahepatic mass‐forming cholangiocarcinoma (IMCC) and hepatocellular carcinoma (HCC) is needed because treatment and prognosis differ significantly. Purpose To explore whether volumetric apparent diffusion coefficient (ADC) histogram analysis can provide additional value to dynamic enhanced MRI in differentiating IMCC from HCC. Study Type Retrospective. Population In all, 131 patients with pathologically proven IMCC ( n  = 33) or HCC ( n  = 98). Field Strength/Sequence 3.0T MRI/conventional T 1 ‐weighted imaging (T 1 WI), T 2 WI, and diffusion‐weighted imaging (DWI) with b value of 800 sec/mm 2 , dynamic enhanced MRI with gadobenate dimeglumine. Assessment Dynamic enhanced MR images were analyzed by two independent reviewers using a five‐point scale to determine the diagnosis. Volumetric ADC assessments were performed independently by two radiologists to obtain different histogram parameters for each lesion. Quantitative histogram parameters were compared between the IMCC group and HCC group. Diagnostic performance of dynamic enhanced MRI, volumetric ADC histogram analysis, and the combination of both were analyzed. Statistical Tests Intraclass correlation coefficient (ICC) analysis, independent Student's t ‐test, or Mann–Whitney U ‐test, receiver operator characteristic (ROC) curves analysis, and McNemar test. Results The sensitivity and specificity for dynamic enhanced MRI to differentiate IMCC from HCC were 82.1% and 82.6%, respectively. For all volumetric ADC histogram parameters, the 75th percentile ADC (ADC 75% ) had the highest AUC (0.791) in differentiating IMCC from HCC, with sensitivity and specificity of 69.7% and 77.6%, respectively. When combining dynamic enhanced MRI with ADC 75% , the sensitivity and specificity were 82.1% and 91.9%, respectively. Compared to dynamic enhanced MRI alone, the specificity for combined dynamic enhanced MRI and ADC 75% was significantly increased ( P  = 0.008). Data Conclusion Volumetric ADC histogram analysis provides additional value to dynamic enhanced MRI in differentiating IMCC from HCC. Level of Evidence: 3 Technical Efficacy : Stage 2 J. Magn. Reson. Imaging 2019;49:975–983.
    Type of Medium: Online Resource
    ISSN: 1053-1807 , 1522-2586
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2019
    detail.hit.zdb_id: 1497154-9
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  • 10
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2022
    In:  Insights into Imaging Vol. 13, No. 1 ( 2022-12)
    In: Insights into Imaging, Springer Science and Business Media LLC, Vol. 13, No. 1 ( 2022-12)
    Abstract: To evaluate the application value of diffusion kurtosis imaging (DKI) for monitoring renal function and interstitial fibrosis. Methods Forty-two patients suspected of having primary nephropathy, hypertension or diabetes with impaired renal function were examined with DKI. DKI metrics of renal cortex and medulla on both sides of each patient were measured, including mean kurtosis (MK), axial kurtosis (Ka), radial kurtosis (Kr), mean diffusivity (MD) and fractional anisotropy (FA). The differences in DKI metrics between stable and impaired estimated glomerular filtration rate (eGFR) patients as well as between mild and severe interstitial fibrosis patients were compared. Correlations of DKI metrics with clinical indicators and pathology were analyzed. Diagnostic performance of DKI to assess the degree of renal dysfunction was analyzed. Results Cortical MK, parenchymal Ka, MD and medullary FA were different in stable vs impaired eGFR patients and mild vs severe interstitial fibrosis patients (all p   〈  .05). Negative correlation was found between Ka and eGFR (cortex: r  = − 0.579; medulla: r  = − 0.603), between MD and interstitial fibrosis (cortex: r  = − 0.899; medulla: r  = − 0.770), and positive correlation was found between MD and eGFR (cortex: r  = 0.411; medulla: r  = 0.344), between Ka and interstitial fibrosis (cortex: r  = 0.871; medulla: r  = 0.844) (all p   〈  .05). DKI combined with mean arterial blood pressure (MAP) and urea showed good diagnostic power for assessing the degree of renal dysfunction (sensitivity: 90.5%; specificity: 89.5%). Conclusions Noninvasive DKI has certain application value for monitoring renal function and interstitial fibrosis.
    Type of Medium: Online Resource
    ISSN: 1869-4101
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2022
    detail.hit.zdb_id: 2543323-4
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