Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging. (Q36425353)

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19 February 2020

title

Computer-extracted Features Can Distinguish Noncancerous Confounding Disease from Prostatic Adenocarcinoma at Multiparametric MR Imaging (English)

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19 February 2020

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1

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19 February 2020

Anant Madabhushi

9

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19 February 2020

author name string

Robin Elliott

2

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19 February 2020

Natalie N C Shih

3

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19 February 2020

Michael D Feldman

4

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19 February 2020

Thiele Kobus

5

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19 February 2020

Christina Hulsbergen-van de Kaa

6

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19 February 2020

Jelle O Barentsz

7

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19 February 2020

Henkjan J Huisman

8

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19 February 2020

language of work or name

English

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publication date

17 July 2015

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19 February 2020

number of pages

11

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inferred from page(s)

published in

Radiology

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19 February 2020

volume

278

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19 February 2020

issue

1

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19 February 2020

page(s)

135-145

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Quantitative identification of magnetic resonance imaging features of prostate cancer response following laser ablation and radical prostatectomy

19 February 2020

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30 September 2017

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30 September 2017

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Validation of the European Society of Urogenital Radiology scoring system for prostate cancer diagnosis on multiparametric magnetic resonance imaging in a cohort of repeat biopsy patients.

30 September 2017

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Central gland and peripheral zone prostate tumors have significantly different quantitative imaging signatures on 3 Tesla endorectal, in vivo T2-weighted MR imagery

30 September 2017

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Use of patient-specific MRI-based prostate mold for validation of multiparametric MRI in localization of prostate cancer

30 September 2017

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30 September 2017

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Relationship between apparent diffusion coefficients at 3.0-T MR imaging and Gleason grade in peripheral zone prostate cancer

30 September 2017

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Prostate cancer: differentiation of central gland cancer from benign prostatic hyperplasia by using diffusion-weighted and dynamic contrast-enhanced MR imaging.

30 September 2017

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Novel PCA-VIP scheme for ranking MRI protocols and identifying computer-extracted MRI measurements associated with central gland and peripheral zone prostate tumors.

30 September 2017

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Differentiation of central gland prostate cancer from benign prostatic hyperplasia using monoexponential and biexponential diffusion-weighted imaging.

21 September 2018

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Determining histology-MRI slice correspondences for defining MRI-based disease signatures of prostate cancer.

21 September 2018

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Interplay between intensity standardization and inhomogeneity correction in MR image processing.

21 September 2018

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21 September 2018

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Computer-assisted analysis of peripheral zone prostate lesions using T2-weighted and dynamic contrast enhanced T1-weighted MRI

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12 December 2020

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Identifiers

DOI

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https://www.ebi.ac.uk/europepmc/webservices/rest/search?query=EXT_ID:26192734%20AND%20SRC:MED&resulttype=core&format=json

19 February 2020

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19 February 2020

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