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dedicated bolus tracking software application carebolus  (Siemens Healthineers)

 
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    Siemens Healthineers dedicated bolus tracking software application carebolus
    Dedicated Bolus Tracking Software Application Carebolus, supplied by Siemens Healthineers, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/dedicated+software+application/bolus+tracking+technique+software+care+bolus/pm32488555-41-7-13
    Average 90 stars, based on 1 article reviews
    dedicated bolus tracking software application carebolus - by Bioz Stars, 2026-11
    90/100 stars

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    Article Title: Development of a Nomogram to Predict Postoperative Peritoneal Metastasis of Colon Cancer
    Article Snippet: Objective: The aim of this study was to determine the clinicopathological and radiological risk factors for postoperative peritoneal metastasis and develop a prediction model for the early detection of peritoneal metastasis in patients with colon cancer.. Methods:We included 174 patients with colon cancer.. The clinicopathological and radiological datawere retrospectively analyzed.

    Article Title: Rim Enhancement and Peripancreatic Fat Stranding in Preoperative MDCT as Predictors for Occult Metastasis in PDAC Patients.
    Article Snippet: Materials and Methods: This retrospective study included PDAC patients who were radiologically diagnosed resectable (R) or borderline resectable (BR) and underwent surgical exploration from January 2018 to December 2021.. Depending on whether distant metastases were found during the exploration, patients were divided into OM and non-OM groups.. Univariate and multivariable logistic regression analyses were performed to determine the radiological and clinical predictive factors for occult metastasis.

    Article Title: Radiomics Analysis for Predicting Malignant Potential of Intraductal Papillary Mucinous Neoplasms of the Pancreas: Comparison of CT and MRI.
    Article Snippet: Materials and Methods: Sixty patients with surgically confirmed IPMNs (37 malignant and 23 benign) were included.. Radiomics features were extracted from arterial and venous phase images of CT and T2-weighted images of MRI, respectively.. Intraclass correlation coefficients for the radiomics features were calculated to assess the interobserver reproducibility.

    Article Title: Preoperative evaluating early recurrence in resectable pancreatic ductal adenocarcinoma by using CT radiomics.
    Article Snippet: Objective To investigate the feasibility of a radiomics model based on contrast-enhanced CT for preoperatively predicting early recurrence after curative resection in patients with resectable pancreatic ductal adenocarcinoma (PDAC).. Methods One hundred and eighty-six patients with resectable PDAC who underwent curative resection were included and allocated to training set (131 patients) and validation set (55 patients).. Radiomics features were extracted from arterial phase and portal venous phase images.

    Article Title: Constructing different machine learning models for identifying pelvic lipomatosis based on AI-assisted CT image feature recognition.
    Article Snippet: Pelvic lipomatosis (PL) is a rare benign proliferative disease of adipose tissue, characterized by the excessive proliferation of non-encapsulated fat surrounding the rectum and bladder within the pelvic region [1].. Engels [2] first described this condition in 1959, and Fogg and Smyth [3] Abbreviations PL Pelvic lipomatosis AI Artificial intelligence VIF Variance inflation factor LASSO Least absolute shrinkage and selection operator CT Computed tomography CTU Computed tomography urography ROC Receiver operating characteristic AUC Area under the curve DCA Decision curve analysis PPV Positive predictive value BMI Body mass index PV Pelvic volume PFV Pelvic fat volume BRD Bladder-rectum distance FB-BRD Fat-based bladder rectum distance FB-BRD/BRD The ration of fat-based bladder rectum distance and bladder-rectum distance BRD-C Center of mass-corrected

    Software:

    Article Title: Dual-Energy CT for the Detection of Portal Vein Thrombosis: Improved Diagnostic Performance Using Virtual Monoenergetic Reconstructions
    Article Snippet: .. The arterial phase automatically started 7 s after a threshold of 120 Hounsfield units (HU) was reached in the descending aorta using bolus tracking software (CareBolus, Siemens Healthineers). ..

    Article Title: The feasibility of low iodine dynamic CT angiography with test bolus for evaluation of lower extremity peripheral artery disease.
    Article Snippet: Objective: This study aims to determine if low iodine dynamic computed tomography angiography performed after a fixed delay or test bolus acquisition demonstrates high concordance with clinical computed tomography angiography (using a routine amount of iodinated contrast) to display lower extremity peripheral arterial disease.. Methods: After informed consent, low iodine dynamic computed tomography angiography examination (using either a fixed delay or test bolus) using 50ml of iodine contrast media was performed.. A subsequent clinical computed tomography angiography using standard iodine dose (115 or 145ml) served as the reference standard.

    Article Title: Assessment of high-risk gastroesophageal varices in cirrhotic patients using quantitative parameters from dual-source dual-energy CT.
    Article Snippet: 1 Department of Radiology, Zhongshan Hospital, Fudan University and Shanghai Institute of Medical Imaging, Shanghai, China 2 Department of Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, China 3 CHN DI CT Collaboration, Siemens Healthineers Ltd, Shanghai, China Abstract Purpose To investigate the clinical value of dual-source dual-energy CT (dsDECT) quantitative parameters in evaluating hemodynamics and predicting high-risk gastroesophageal varices in cirrhotic patients.. Methods 98 consecutive patients were collected in this prospectively study and all patients underwent an abdominal triplephase contrasted-enhanced examination with dsDECT.. Iodine concentration (IC) and normalized iodine concentration (NIC) of the liver parenchyma, spleen parenchyma and aorta at different phases were recorded, and arterial iodine fraction (AIF), iodine washout rate (IWR), and extracellular volume (ECV) were calculated.



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