Diagnosis of Prostate Cancer by Use of MRI-Derived Quantitative Risk Maps: A Feasibility Study-Reference-Cited by-同舟云学术

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Diagnosis of Prostate Cancer by Use of MRI-Derived Quantitative Risk Maps: A Feasibility Study

Published:2019-08 Issue:2 Volume:213 Page:W66-W75
ISSN:0361-803X
Container-title:American Journal of Roentgenology
language:en
Short-container-title:American Journal of Roentgenology

Author:

Chatterjee Aritrick¹,He Dianning¹²,Fan Xiaobing¹,Antic Tatjana³,Jiang Yulei¹,Eggener Scott⁴,Karczmar Gregory S.¹,Oto Aytekin¹

Affiliation:

1. Department of Radiology, University of Chicago, 5841 S Maryland Ave, Chicago, IL 60637.

2. Sino-Dutch Biomedical and Information Engineering School, Northeastern University, Shenyang, China.

3. Department of Pathology, University of Chicago, Chicago, IL.

4. Department of Urology, University of Chicago, Chicago, IL.

Publisher

American Roentgen Ray Society

Subject

Radiology Nuclear Medicine and imaging,General Medicine

Link

https://www.ajronline.org/doi/pdf/10.2214/AJR.18.20702

Reference36 articles.

1. Diagnostic accuracy of multi-parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study

2. MRI-Targeted or Standard Biopsy for Prostate-Cancer Diagnosis

3. What Are We Missing? False-Negative Cancers at Multiparametric MR Imaging of the Prostate

4. Can Clinically Significant Prostate Cancer Be Detected with Multiparametric Magnetic Resonance Imaging? A Systematic Review of the Literature

5. PI-RADS Prostate Imaging – Reporting and Data System: 2015, Version 2

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1. Is There an Added Value of Quantitative DCE-MRI by Magnetic Resonance Dispersion Imaging for Prostate Cancer Diagnosis?;Cancers;2024-07-01

2. A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest;BMC Medical Imaging;2023-12-08

3. An Interactive App with Multi-parametric MRI – Whole-Mount Histology Correlation for Enhanced Prostate MRI Training of Radiology Residents;Academic Radiology;2023-09

4. A radiomics based method for prediction of prostate cancer Gleason score using enlarged region of interest;2023-08-03

5. Parametric maps of spatial two-tissue compartment model for prostate dynamic contrast enhanced MRI - comparison with the standard tofts model in the diagnosis of prostate cancer;Physical and Engineering Sciences in Medicine;2023-07-11

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