PennPancreaticCancerImagingResource.github.io/imagedata.html at master · PennPancreaticCancerImagingResource/PennPancreaticCancerImagingResource.github.io · GitHub

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          <h1 class="text-white mb-2">Penn Quantitative Imaging Resource for Pancreatic Cancer</h1>
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        <h2 id="data">Imaging Datasets</h2>
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        <h3>Clinical MRI Datasets</h3>
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              <p><em>Description:</em> This dataset includes baseline and post-treatment diffusion-weighted MRI (DW-MRI) and dynamic contrast-enhanced MRI (DCE-MRI) from a pancreatic cancer patient enrolled in clinical trial entitled “A Randomized Pilot Study of Perioperative Nivolumab and Paricalcitol to Target the Microenvironment in Resectable Epithelial Subtype Pancreatic Cancer” (NCT03519308).</p>
              <p><em>Reference:</em> Mark Rosen, Hee Kwon Song, Emma E Furth, Rong Zhou, Peter O'Dwyer, and Thomas Karasic</strong>: PENN Quantitative Imaging Resource for Pancreatic Cancer: Clinical trial updates  Co-clinical Imaging Resource Program (CIRP) Network Annual Meeting June 2022.</p>
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              <em>Resource Type:</em> Image Data</br>
              <em>Site:</em> Github.com</br>
              <em>Link:</em> <a href="https://github.com/PennPancreaticCancerImagingResource/U24ClinicalImaging">Github</a></br>
              <!--<a href="https://upenn.box.com/s/ip2k066y7luxe67rj5413f8roshiwfrz">Box</a>-->
              <em>Research Area:</em> Diffusion Imaging
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        <h3>Test-retest study of Radial k-Space DW-MRI of Mouse Abdomen at 4.7T</h3>
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              <p><em>Description:</em> Test-Retest Diffusion imaging in 10 mice. Includes original data as well as derived images such as: ADC, M0, M0 standard deviation, BL, and BL standard deviation.</p>
              <p><em>Reference:</em> Cao J, Song HK, Yang H, Castillo V, Chen J, Clendenin C, Rosen M, Zhou R, Pickup S. <a href="https://doi.org/10.3390/tomography7010007">Respiratory Motion Mitigation and Repeatability of Two Diffusion-Weighted MRI Methods Applied to a Murine Model of Spontaneous Pancreatic Cancer</a>. Tomography. 2021; 7(1):66-79.</li></p>
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              <em>Resource Type:</em> Image Data</br>
              <em>Site:</em> Github.com</br>
              <em>Link:</em> <a href="https://github.com/PennPancreaticCancerImagingResource/MouseDiffusionImaging">Github</a></br>
              <em>Research Area:</em> Diffusion Imaging
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        <h3>Representative Preclinical Datasets at 9.4T</h3>
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              <p><em>Description:</em> Represenative dataset for diffusion imaging in mice at 9.4T </p>
              <p><em>Reference:</em>Cao J, Song HK, Yang H, Castillo V, Chen J, Clendenin C, Rosen M, Zhou R, Pickup S. <a href="https://doi.org/10.3390/tomography7010007">Respiratory Motion Mitigation and Repeatability of Two Diffusion-Weighted MRI Methods Applied to a Murine Model of Spontaneous Pancreatic Cancer</a>. Tomography : a journal for imaging research 7(1) (2021) 66-79.</li></p>
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            <em>Resource Type:</em> Image Data</br>
            <em>Site:</em> Github.com</br>
            <em>Link:</em> <a href="https://github.com/PennPancreaticCancerImagingResource/U24PreClinicalImaging">Github</a></br>
            <em>Research Area:</em> Diffusion MR
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        <h3>Clinical Histological Data</h3>
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              <p><em>Description:</em> In Preparation </p>
              <p><em>Reference:</em>TBD<a href="link"></a></li></p>
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            <em>Resource Type:</em> Histological Data</br>
            <em>Site:</em> Box.com</br>
            <em>Link:</em> <a href="https://upenn.box.com/s/lfvezv1s04bs4cievskjyapt1tjo1bbb">Box</a></br>
            <em>Research Area:</em> Histology
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