10.1016\/j.tranon.2015.03.002<\/a><\/li><\/ol>","supporting_data":false,"collection_featured_image":false,"collection_summary":"This collection contains \u201cdouble baseline\u201d multi-parametric MRI images collected on patients with newly diagnosed glioblastoma. \u00a0The value of this collection is to provide clinical image data to establish the test-retest characteristics of parameters calculated from DW-MRI, DCE-MRI, and DSC-MRI such as ADC, Ktrans and rCBV. Data were provided by Dr. Elizabeth Gerstner and Dr. Kalpathy-Cramer (MGH) as part of their participation in the Quantitative Imaging Network.<\/p>\n
The patients were scanned after surgery but prior to the start of therapy, typically 2-5 days apart. The structural images included T1-weighted pre- and post-contrast images, T2-weighted images, FLAIR and MEMPRAGE images.\u00a0 Advanced MRI sequences included Diffusion Weighted (DW) Imaging, Dynamic Contrast-Enhanced MRI (DCE-MRI), and Dynamic Susceptibility Contrast MRI (DSC-MRI). \u00a0<\/p>\n
Note:<\/strong><\/u> If there was an issue with the scan it was excluded, so not all patients have every type of scan available.<\/p>\nThe images were obtained on 32-channel Siemens Trio 3T scanners using Siemens 32-channel head coils.<\/p>\n
- T1-weighted<\/strong> imaging was performed using a 2D FLASH sequence with TR\/TE\/\u03b1 = 600 ms\/12 ms\/90\u00b0, matrix size 256 \u00d7 216, field of view (FOV ) 185mm \u00d7 220mm, \u00a023 slices and 5mm slice thickness.<\/li>
- T2-weighted<\/strong> imaging was performed using a 3D SPACE spin-echo sequence with TR\/TE = 3200 ms\/428 ms, matrix size 256 \u00d7 258, FOV 256mm \u00d7 256mm,\u00a0 176 slices and 1mm slice thickness.<\/li>
- FLAIR<\/strong> was performed using a 2D spin-echo inversion-recovery sequence with TR\/TI\/TE = 10000 ms\/2500 ms\/70 ms, matrix size 256 \u00d7 162, FOV 185mm \u00d7 220mm, 23 slices and 5mm slice thickness.<\/li>
- MEMPRAGE<\/strong> was performed using a 3D multi-echo Magnetization Prepared Rapid Gradient Echo sequence with TR\/TI\/TE1\/TE2\/TE3\/TE4\/\u03b1 =2530 ms\/1200 ms\/1.64 ms\/3.5 ms\/5.36 ms\/7.22 ms\/7\u00b0, matrix size 256 \u00d7 256, FOV 256mm \u00d7 256mm, 176 slices and 1mm slice thickness.<\/li>
- A Diffusion-weighted (DW)<\/strong> echo planar imaging sequence with trace diffusion sensitization and b-values of 0 and 700 s\/mm2<\/sup>, TR\/TE = 7980 ms\/84 ms, matrix size 128 \u00d7 128, FOV 237mm \u00d7 237mm, 64 slices and 1.86mm slice thickness, provided data for Apparent Diffusion Coefficient (ADC) maps.<\/li>
- Dynamic Contrast-enhanced (DCE-MRI)<\/strong> sequences: To estimate pre-contrast T1 relaxation time for DCE quantitation purposes, T1 mapping was performed by using a 3D FLASH sequence before the injection of contrast agent with TR\/TE = 7.3 ms\/4.41 ms,\u00a0matrix size 128 \u00d7 128, FOV 230mm \u00d7 230mm, 20 slices, and 2.1mm slice thickness. This sequence was repeated five times at five different flip-angles of 2\u00b0, 5\u00b0,10\u00b0,15\u00b0, and 30\u00b0. DCE MRI utilized a 3D FLASH dual gradient-echo sequence with with TR\/TE1\/TE2\/\u03b1 = 6.8 ms\/2.61 ms\/3.89 ms\/10\u00b0,\u00a0matrix size 128 \u00d7 128, FOV 230mm \u00d7 230mm, 20 slices and 2.1mm slice thickness. The acquisition was repeated for 60 times (frames) for a total scan time of 6 min,\u00a0corresponding to a\u00a0temporal resolution of 6 s. A bolus of\u00a00.1\u00a0mmol\/kg of Gd-DTPA (gadopentetic acid) was injected 52 s after the scan started.<\/li>
- Finally, a combined gradient-echo (ge) and spin-echo (se) 2D EPI sequence was performed to acquire DSC-MRI<\/strong> data with TR\/TE(ge)\/TE(se)\/\u03b1 = 1500 ms\/31 ms\/95 ms\/80\u00b0, matrix size 160 \u00d7 160, FOV 192mm \u00d7 192mm, 12 slices and 5mm slice thickness. The acquisition was repeated 100 times for a total scan time of 2 min and 41 sec,\u00a0corresponding to a\u00a0temporal resolution of 1.61 s. A bolus of 0.1 mmol\/kg of GD-DTPA was injected 80 s after the scan started.\u00a0\u00a0<\/li><\/ul>\n
About the NCI QIN<\/h3>\n
The mission of the QIN is to improve the role of quantitative imaging for clinical decision making in oncology by developing and validating data acquisition, analysis methods, and tools to tailor treatment for individual patients and predict or monitor the response to drug or radiation therapy. More information is available on the\u00a0Quantitative Imaging Network Collections<\/a>\u00a0page. Interested investigators can apply to the QIN at:\u00a0Quantitative Imaging for Evaluation of Responses to Cancer Therapies (U01) PAR-11-150<\/a>.<\/p>","collection_acknowledgements":"","collection_funding":"","hide_from_browse_table":"0","program":["QIN"],"_links":{"self":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43287","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections"}],"about":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/types\/tcia_collection"}],"version-history":[{"count":0,"href":"https:\/\/stage.cancerimagingarchive.net\/api\/v1\/collections\/43287\/revisions"}],"wp:attachment":[{"href":"https:\/\/stage.cancerimagingarchive.net\/api\/wp\/v2\/media?parent=43287"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}