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10 results for “Prostate Zones”

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zenodo36/100

ProstateZones - Segmentations of the prostatic zones and urethra for the PROSTATEx dataset

<p>Segmentations of the prostatic zones and urethra for 200 patients from the publicly avaliable PROSTATEx image dataset [1-3]. The dataset is intended for research purposes in the field of medical imaging and to enable training and evaluation of autmatic segmentation methods.</p> <p>The prostatic zones and urethra were manually segmented slice by slice on axial T2w MRIs by two experienced radiologists in collaboration with three junior colleagues. All delineations by junior colleagues has been checked, and if necessary, corrected by one of the more experienced radiologists.&nbsp;The two most experienced radiologists have independently delineated duplicate segmentations for 40 patients, for a total of 240 segmentations. This is intended as a test set where automatic methods can compare their performance with the inter-reader variability of the two radiologists.</p> <p>To ease the use of the dataset, help with structuring the data can be found in the linked GitHub repository.</p> <p>&nbsp;</p> <p>For more information about the dataset, see the dataset publication:</p> <p>Holmlund, W., Simk&oacute;, A., S&ouml;derkvist, K. <em>et al.</em> ProstateZones &ndash; Segmentations of the prostatic zones and urethra for the PROSTATEx dataset. <em>Sci Data</em> <strong>11</strong>, 1097 (2024). https://doi.org/10.1038/s41597-024-03945-2</p> <p>&nbsp;</p> <p>&nbsp;</p> <div> <h4>PROSTATEx</h4> </div> <p>[1] Geert Litjens, Oscar Debats, Jelle Barentsz, Nico Karssemeijer, and Henkjan Huisman. "ProstateX Challenge data", The Cancer Imaging Archive (2017). DOI: 10.7937/K9TCIA.2017.MURS5CL</p> <p>[2] Litjens G, Debats O, Barentsz J, Karssemeijer N, Huisman H. "Computer-aided detection of prostate cancer in MRI", IEEE Transactions on Medical Imaging 2014;33:1083-1092. DOI: 10.1109/TMI.2014.2303821</p> <p>[3] Clark K, Vendt B, Smith K, Freymann J, Kirby J, Koppel P, Moore S, Phillips S, Maffitt D, Pringle M, Tarbox L, Prior F. The Cancer Imaging Archive (TCIA): Maintaining and Operating a Public Information Repository, Journal of Digital Imaging, Volume 26, Number 6, December, 2013, pp 1045-1057. DOI: 10.1007/s10278-013-9622-7</p>

opencc-by-4.0Aug 2024View details →
zenodo36/100

Prostate MRI T2-weighted images with peripherial and trasition zone segmentations including corresponding PIRADS and PSA values

<p>This dataset contains 114 t2-weighted MRI images of the prostate&nbsp;with corresponding segmentations.The segmentations include two labels, 1 - Transition Zone, 2 - Peripherial Zone.&nbsp;Most of the images include corresponding PIRADS and PSA values, which are available in the file PSA_PIRADS.csv.</p> <p>For more information concerning the images, see the following article.</p> <p>Please cite the following articles, if you are using this dataset:</p> <p>Gibala, S.; Obuchowicz, R.; Lasek, J.; Schneider, Z.; Piorkowski, A.; Pociask, E.; Nurzynska, K. Textural Features of MR Images Correlate with an Increased Risk of Clinically Significant Cancer in Patients with High PSA Levels.&nbsp;<em>J. Clin. Med.</em>&nbsp;<strong>2023</strong>,&nbsp;<em>12</em>, 2836. https://doi.org/10.3390/jcm12082836</p> <p>Gibała, S.; Obuchowicz, R.; Lasek, J.; Pi&oacute;rkowski, A.; Nurzynska, K. Textural Analysis Supports Prostate MR Diagnosis in PIRADS Protocol.&nbsp;<em>Appl. Sci.</em>&nbsp;<strong>2023</strong>,&nbsp;<em>13</em>, 9871. https://doi.org/10.3390/app13179871</p>

opencc-by-4.0Mar 2023View details →
ClinicalTrials.gov32/100

Evaluation of the Functional Outcomes After Bilateral, 3D Ultrasound-guided Focal Thermal Ablation of the Prostate Transition Zone, in Patients with Benign Prostatic Hyperplasia-related Obstruction

ClinicalTrials.gov study NCT06212453. IPD Sharing: NO. Countries: 1. Publications: 6.

closedIPD-NOFeb 2026View details →
ClinicalTrials.gov32/100

Prediction Model fo Screening and Diagnosis of Prostate Cancer in PSA Gray Zone Based on Serum PHI Combined With TPV

ClinicalTrials.gov study NCT04251546. IPD Sharing: Not stated. Countries: 1. Publications: 1.

restrictedIPD-UNDECIDEDFeb 2026View details →
dryad28/100

Data from: Comparing radiomic classifiers and classifier ensembles for detection of peripheral zone prostate tumors on T2-weighted MRI: a multi-site study

Open the record for dataset details and reuse information.

publicMar 2019View details →
geo24/100

Single-cell RNA sequencing of human prostate basal epithelial cells reveals zone-specific cellular populations and gene expression signatures

GEO Series GSE241556. Homo sapiens. 8 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenOct 2023View details →
ClinicalTrials.gov24/100

Assessing Circulating Tumor Cell as a Biomarker for Prostate Cancer Detection in Patients With Gray Zone PSA Level

ClinicalTrials.gov study NCT03488706. IPD Sharing: Not stated. Countries: 1. Publications: 0.

restrictedIPD-UNDECIDEDFeb 2026View details →
geo16/100

Comparison between Gene expression in stroma and glands of the transitional and peripheral zone of the prostate

GEO Series GSE29090. Homo sapiens. 4 samples. Type: Expression profiling by array.

openGEO-OpenMay 2011View details →
geo16/100

Single-cell sequencing technology demonstrates cellular and functional heterogeneity within the prostate and between the transitional and peripheral zones

GEO Series GSE166782. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenFeb 2024View details →
geo16/100

Single cell RNA-sequencing of verumontanum region and peripheral zone of normal human prostate

GEO Series GSE179312. Homo sapiens. 2 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenDec 2021View details →

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