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            <header>
                <identifier>oai:data.mendeley.com/k7gc59d86x.1</identifier>
                <datestamp>2020-06-17T08:10:19Z</datestamp>
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            <metadata><oai_dc:dc xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
    <dc:creator>Bae, Jae Seok</dc:creator>
    <dc:title>PDA_MR</dc:title>
    <dc:publisher>Mendeley Data</dc:publisher>
    <dc:description>We aimed to predict residual tumor (R) classification and overall survival (OS) in patients who underwent first-line surgery for pancreatic ductal adenocarcinoma (PDA) using preoperative magnetic resonance imaging (MRI). 210 patients with PDA who underwent MRI and first-line surgery were randomly categorized into a test group (n=150) and a validation group (n=60). The R classification was divided into R0 (no residual tumor) and R1/R2 (microscopic/macroscopic residual tumor). Preoperative MRI findings associated with R classification and OS were assessed by using logistic regression and Cox proportional hazard models. In addition, the prediction models for the R classification and OS were validated using calibration plots and C statistics. On preoperative MRI, portal vein encasement (odds ratio 4.755) was an independent predictor for R1/R2 resection (P=0.040). Tumor size measured on MRI (hazard ratio [HR] per centimeter 1.539) was a predictor of OS, along with pathologic N1 and N2 stage (HR 1.944 and 3.243, respectively), R1/R2 resection (HR 3.273), and adjuvant chemoradiation therapy (HR 0.250) (Ps&lt;0.050). These results have been validated. In conclusion, preoperative MRI was valuable for predicting R1/R2 resection using portal vein encasement, and was useful for predicting OS after surgery for PDA using tumor size.</dc:description>
    <dc:subject>Pancreatic Cancer</dc:subject>
    <dc:subject>Prognosis</dc:subject>
    <dc:subject>Body Magnetic Resonance Imaging</dc:subject>
    <dc:subject>Abdominal Radiology</dc:subject>
    <dc:type>Dataset</dc:type>
    <dc:identifier>doi:10.17632/k7gc59d86x.1</dc:identifier>
    <dc:identifier>oai:data.mendeley.com/k7gc59d86x.1</dc:identifier>
    <dc:rights>Creative Commons Attribution 4.0 International</dc:rights>
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    <dc:date>2020-06-17T08:10:19Z</dc:date>
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