Zobrazeno 1 - 10
of 40
pro vyhledávání: '"Christopher A. Conlin"'
Autor:
Karoline Kallis, Christopher C. Conlin, Allison Y. Zhong, Troy S. Hussain, Aritrick Chatterjee, Gregory S. Karczmar, Rebecca Rakow-Penner, Anders M. Dale, Tyler M. Seibert
Publikováno v:
Cancer Imaging, Vol 24, Iss 1, Pp 1-11 (2024)
Abstract Background High b-value diffusion-weighted images (DWI) are used for detection of clinically significant prostate cancer (csPCa). This study qualitatively and quantitatively compares synthesized DWI (sDWI) to acquired (aDWI) for detection of
Externí odkaz:
https://doaj.org/article/5e91fd514a984dd0ab4d436bcca561bb
Autor:
Leonardino A. Digma, Christine H. Feng, Christopher C. Conlin, Ana E. Rodríguez-Soto, Allison Y. Zhong, Troy S. Hussain, Asona J. Lui, Kanha Batra, Aaron B. Simon, Roshan Karunamuni, Joshua Kuperman, Rebecca Rakow-Penner, Michael E. Hahn, Anders M. Dale, Tyler M. Seibert
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Diffusion-weighted magnetic resonance imaging (DWI) of the musculoskeletal system has various applications, including visualization of bone tumors. However, DWI acquired with echo-planar imaging is susceptible to distortions due to static ma
Externí odkaz:
https://doaj.org/article/ea3dbfadebac4ff890e24d8aa5388321
Autor:
Allison Y, Zhong, Leonardino A, Digma, Troy, Hussain, Christine H, Feng, Christopher C, Conlin, Karen, Tye, Asona J, Lui, Maren M S, Andreassen, Ana E, Rodríguez-Soto, Roshan, Karunamuni, Joshua, Kuperman, Christopher J, Kane, Rebecca, Rakow-Penner, Michael E, Hahn, Anders M, Dale, Tyler M, Seibert
Publikováno v:
European Urology Open Science. 47:20-28
BackgroundMultiparametric magnetic resonance imaging (mpMRI) improves detection of clinically significant prostate cancer (csPCa), but the subjective Prostate Imaging Reporting and Data System (PI-RADS) system and quantitative apparent diffusion coef
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7878f3a681ea5657843945cce72b9295
https://doi.org/10.1016/j.euros.2022.11.009
https://doi.org/10.1016/j.euros.2022.11.009
Autor:
Jeff L. Zhang, Christopher C. Conlin, Xiaowan Li, Gwenael Layec, Ken Chang, Jayashree Kalpathy‐Cramer, Vivian S. Lee
Publikováno v:
Physiological Reports, Vol 8, Iss 16, Pp n/a-n/a (2020)
Abstract Exercise‐induced hyperemia in calf muscles was recently shown to be quantifiable with high‐resolution magnetic resonance imaging (MRI). However, processing of the MRI data to obtain muscle‐perfusion maps is time‐consuming. This study
Externí odkaz:
https://doaj.org/article/d5f0f7034cbd46cda5e6d477482c66dc
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Purpose:Diffusion-weighted MRI (DW-MRI) is a contrast-free modality that has demonstrated ability to discriminate between predefined benign and malignant breast lesions. However, how well DW-MRI discriminates cancer from all other breast tissue voxel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6dd97cd359bad37ed71a1d5063c0cc74
https://doi.org/10.1158/1078-0432.c.6530007
https://doi.org/10.1158/1078-0432.c.6530007
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Mean (95% CI) for all performance measures the U.S. dataset (Supplementary Table S1) and European dataset (Supplementary Table S2). Median (interquartile range) for average signal of the cancer and control regions of interests (ROIs) for both dataset
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::127e5effcc0b5a243c4b72a5ced72010
https://doi.org/10.1158/1078-0432.22478631
https://doi.org/10.1158/1078-0432.22478631
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901d7555fbe3d510992a916ebf5d6c1a
https://doi.org/10.1158/1078-0432.22478628.v1
https://doi.org/10.1158/1078-0432.22478628.v1
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::199bc69b5e218b5d0874df671f4f7905
https://doi.org/10.1158/1078-0432.22478622
https://doi.org/10.1158/1078-0432.22478622
Autor:
Anders M. Dale, Rebecca Rakow-Penner, Pål Erik Goa, Haydee Ojeda-Fournier, Tone F. Bathen, Agnes Østlie, Neil P. Jerome, Michael Hahn, Grace S. Ahn, Boya Abudu, Joshua Kuperman, Somaye Zare, Anne M. Wallace, Tyler M. Seibert, Igor Vidić, Christopher C. Conlin, Ana E. Rodríguez-Soto, Maren M. Sjaastad Andreassen
Probability density colormaps for the three-component model given C1 and C2 for all voxels per patient for (A.) cancer (cancer ROI) and (B.) healthy breast tissue (control ROI).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6315cbfcf3c42dca24e79cac91553033
https://doi.org/10.1158/1078-0432.22478625.v1
https://doi.org/10.1158/1078-0432.22478625.v1
Autor:
Karoline Kallis, Christopher C. Conlin, Allison Y. Zhong, Troy S. Hussain, Aritrick Chatterjee, Gregory S. Karczmar, Rebecca Rakow-Penner, Anders Dale, Tyler Seibert
Publikováno v:
medRxiv
BackgroundHighb-value diffusion-weighted images (DWI) are used for detection of clinically significant prostate cancer (csPCa). To decrease scan time and improve signal-to-noise ratio, highb-value (>1000 s/mm2) images are often synthesized instead of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83067784fb6cd849f093d3ff6de87838
https://europepmc.org/articles/PMC9949172/
https://europepmc.org/articles/PMC9949172/