{"id":5691,"date":"2023-09-04T03:18:36","date_gmt":"2023-09-04T03:18:36","guid":{"rendered":"https:\/\/cm.vastapps.dev\/tcia-collection\/prostatex\/"},"modified":"2023-09-13T12:03:20","modified_gmt":"2023-09-13T12:03:20","slug":"prostatex","status":"publish","type":"tcia_collection","link":"https:\/\/cm.vastapps.dev\/tcia-collection\/prostatex\/","title":{"rendered":"PROSTATEX"},"featured_media":8230,"template":"","citation-tax":[],"cancer_types":["Prostate Cancer"],"citations":[4640,4641,2925],"collection_doi":"10.7937\/K9TCIA.2017.MURS5CL","collection_download_info":" Note:<\/strong> <\/u> The following download links will download the entire collection. See the Detailed Description section of this page for information about subsets specific to the PROSTATEx challenges.\n\nClick the Versions tab for more info about data releases.","collection_downloads":[5270,5272,5273],"full_export":"
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Summary<\/h1>

PROSTATEx has been superseded by PI-CAI<\/p><\/span>

The ProstateX dataset (both training and testing cases) have been included in the PI-CAI Public Training and Development dataset. As such, ProstateX as a benchmark has been deprecated and is superseded by the PI-CAI challenge. PI-CAI is an all-new grand challenge, with over 10,000 carefully-curated prostate MRI exams to validate modern AI algorithms and estimate radiologists' performance at clinically significant prostate cancer detection and diagnosis. Key aspects of the study design have been established in conjunction with an international, multi-disciplinary scientific advisory board (16 experts in prostate AI, radiology and urology)\u00a0 - to unify and standardize present-day guidelines, and to ensure meaningful validation of prostate-AI towards clinical translation. Please refer to https:\/\/pi-cai.grand-challenge.org<\/a> for more information.<\/p><\/div><\/div>

This collection is a retrospective set of prostate MR studies. All studies included T2-weighted (T2W), proton density-weighted (PD-W), dynamic contrast enhanced (DCE), and diffusion-weighted (DW) imaging. The images were acquired on two different types of Siemens 3T MR scanners, the MAGNETOM Trio and Skyra. T2-weighted images were acquired using a turbo spin echo sequence and had a resolution of around 0.5 mm in plane and a slice thickness of 3.6 mm. The DCE time series was acquired using a 3-D turbo flash gradient echo sequence with a resolution of around 1.5 mm in-plane, a slice thickness of 4 mm and a temporal resolution of 3.5 s. The proton density weighted image was acquired prior to the DCE time series using the same sequence with different echo and repetition times and a different flip angle. Finally, the DWI series were acquired with a single-shot echo planar imaging sequence with a resolution of 2 mm in-plane and 3.6 mm slice thickness and with diffusion-encoding gradients in three directions. Three b-values were acquired (50, 400, and 800), and subsequently, the ADC map was calculated by the scanner software. All images were acquired without an endorectal coil.<\/p>

Accessing the PROSTATEx Challenge Data Sets<\/span><\/h3>

The PROSTATEx Challenge ("<\/span> SPIE-AAPM-NCI Prostate MR Classification Challenge\u201d) focused on\u00a0<\/span> quantitative image analysis methods for the diagnostic classification of clinically significant prostate cancers and was held in conjunction with the 2017 SPIE Medical Imaging Symposium<\/span>. \u00a0PROSTATEx ran from November 21, 2016 to January 15, 2017, though a\u00a0"live" version has also been established at\u00a0https:\/\/prostatex.grand-challenge.org<\/a> <\/span> \u00a0which serves as an ongoing way for researchers to benchmark their performance for this task.<\/span> <\/span><\/p>

The PROSTATEx-2 Challenge ("<\/span> SPIE-AAPM-NCI\u00a0<\/span> Prostate MR Gleason Grade Group Challenge"<\/span> ) ran from May 15, 2017 to June 23, 2017 and\u00a0<\/span>was focused on\u00a0<\/span> the development of quantitative multi-parametric MRI biomarkers for the determination of Gleason Grade Group in prostate cancer.\u00a0 It was\u00a0<\/span> held in conjunction with the 2017 AAPM Annual Meeting (see\u00a0<\/span> http:\/\/www.aapm.org\/GrandChallenge\/PROSTATEx-2<\/a> )<\/span> .\u00a0<\/span><\/p>

Supplemental data and instructions specific to both challenges can be found on the Detailed Description tab below.\u00a0\u00a0<\/span> <\/span><\/p>

Acknowledgements<\/h3>

The prostate MR imaging was performed at the Radboud University Medical Centre (Radboudumc) in the Prostate MR Reference Center under supervision of prof. Dr. Barentsz. The Radboudumc is located in Nijmegen, The Netherlands. The dataset was collected and curated for research in computer aided diagnosis of prostate MR under supervision of Dr. Huisman, Radboudumc.<\/p><\/div>\n<\/div>\n

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