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Protocol for the AutoRayValid-RBknee Study: a Retrospective, Multicenter, Fully-crossed, Multi-reader, Multi-case Study Investigating the Effect of a Knee Osteoarthritis Severity Classification Model on Reader Diagnostic Accuracy

Autor: Mathias Willadsen Brejnebøl, Liv Egnell, Michael Lundemann, Anders Lenskjold, Janus Uhd Nybing, Huib Ruitenbeek, Katharina Ziegeler, Jacob Visser, Kay Geert A. Hermann, Edwin H.G. Oei, Mikael Boesen

BackgroundRadiographic evaluation of knee osteoarthritis (KOA) commonly supports clinical findings. Ground truth is difficult to establish and concerns exist on the inter-and intrarater agreement of the findings. RBknee™ is a CE-marked and FDA-clea

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f6c319b27847ef7bddadfe450bed83f4
https://doi.org/10.1101/2022.08.29.22279328

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Modeling the diffusion‐weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm 2 range: quality of fit and classification accuracy for different representations

Autor: Roshan Karunamuni, Neil P. Jerome, Liv Egnell, Igor Vidic, Pål Erik Goa, Tone Frost Bathen, Anders M. Dale, Nathan S. White, Rebecca Rakow-Penner

Publikováno v: Magnetic Resonance in Medicine

Purpose To evaluate different non‐Gaussian representations for the diffusion‐weighted imaging (DWI) signal in the b‐value range 200 to 3000 s/mm2 in benign and malignant breast lesions. Methods Forty‐three patients diagnosed with benign (n =

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ae75677f07f9502f69a9eaf10b4de6c8
https://doi.org/10.1002/mrm.28161

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Stromal Collagen Content in Breast Tumors Correlates With In Vivo Diffusion‐Weighted Imaging: A Comparison of Multi b ‐Value DWI With Histologic Specimen From Benign and Malignant Breast Lesions

Autor: Anna M. Bofin, Pål Erik Goa, Tone Frost Bathen, Liv Egnell, Neil P. Jerome, Igor Vidic

Publikováno v: Journal of Magnetic Resonance Imaging

Background:Increased deposition and reorientation of stromal collagenfibers are associated with breast cancer progres-sion and invasiveness. Diffusion-weighted imaging (DWI) may be sensitive to the collagenfiber organization in the stromaand could pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::de158b1afc69ed043ed3a17181d703aa
https://doi.org/10.1002/jmri.27018

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Effects of echo time on IVIM quantifications of locally advanced breast cancer in clinical diffusion‐weighted MRI at 3 T

Autor: Liv Egnell, Neil P. Jerome, Maren M. S. Andreassen, Tone F. Bathen, Pål Erik Goa

Publikováno v: NMR in Biomedicine. 35

The purpose of this study was to investigate the effects of echo time dependence in IVIM quantification of the pseudo-diffusion fraction in breast cancer and whether correcting for the echo time dependence offers added clinical value.Fifteen patients

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::99d8ef0033a9001a184060613cc7ab2a
https://doi.org/10.1002/nbm.4654

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Understanding diffusion-weighted MRI analysis: Repeatability and performance of diffusion models in a benign breast lesion cohort

Autor: Torill Eidhammer Sjøbakk, Hans E. Fjøsne, Tone Frost Bathen, Pål Erik Goa, Liv Egnell, Igor Vidic, Agnes Østlie, Neil P. Jerome

Publikováno v: NMR in biomedicineREFERENCES. 34(7)

Diffusion-weighted MRI (DWI) is an important tool for oncology research, with great clinical potential for the classification and monitoring of breast lesions. The utility of parameters derived from DWI, however, is influenced by specific analysis ch

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bcc9dcd4c15c98db1ebb5acecf735e3
https://pubmed.ncbi.nlm.nih.gov/33738878

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Modeling the diffusion-weighted imaging signal for breast lesions in the b = 200 to 3000 s/mm

Autor: Igor, Vidić, Liv, Egnell, Neil P, Jerome, Nathan S, White, Roshan, Karunamuni, Rebecca, Rakow-Penner, Anders M, Dale, Tone F, Bathen, Pål Erik, Goa

Publikováno v: Magnetic resonance in medicineReferences. 84(2)

To evaluate different non-Gaussian representations for the diffusion-weighted imaging (DWI) signal in the b-value range 200 to 3000 s/mmForty-three patients diagnosed with benign (n = 18) or malignant (n = 25) tumors of the breast underwent DWI (b-va

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::950f72d24f94885b30b910bd65f6ff14
https://pubmed.ncbi.nlm.nih.gov/31975448

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Support vector machine for breast cancer classification using diffusion-weighted MRI histogram features: Preliminary study

Autor: Igor, Vidić, Liv, Egnell, Neil P, Jerome, Jose R, Teruel, Torill E, Sjøbakk, Agnes, Østlie, Hans E, Fjøsne, Tone F, Bathen, Pål Erik, Goa

Publikováno v: Journal of magnetic resonance imaging : JMRI. 47(5)

Diffusion-weighted MRI (DWI) is currently one of the fastest developing MRI-based techniques in oncology. Histogram properties from model fitting of DWI are useful features for differentiation of lesions, and classification can potentially be improve

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::e698eba311edfee3cdd9729ac8e7f1c3
https://pubmed.ncbi.nlm.nih.gov/29044896

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