Association of diffusion and anatomic imaging parameters with survival for patients with newly diagnosed glioblastoma participating in two different clinical trials

MRI manifestions correlate with survival of glioblastoma multiforme patients.

Li, W-B
Tang, K
Chen, Q
Li, S
Qiu, X-G
Li, S-W
Jiang, T

June 2012

OBJECTIVE: To identify the correlation between magnetic resonance manifestation and survival of pati...

Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change

Chenevert, Thomas L
Malyarenko, Dariya I
Galbán, Craig J
Gomez-Hassan, Diana M
Sundgren, Pia C
Tsien, Christina I
Ross, Brian D

March 2019

Noninvasive imaging methods are sought to objectively predict early response to therapy for high-gra...

Comparison of ADC metrics and their association with outcome for patients with newly diagnosed glioblastoma being treated with radiation therapy, temozolomide, erlotinib and bevacizumab

Molinaro, Annette
Chang, Susan
Prados, Michael
Wen, Q
Jalilian, L
Lupo, JM
Molinaro, AM
Chang, SM
Clarke, JL
Prados, MD
Nelson, SJ

October 2014

Association of diffusion and anatomic imaging parameters with survival for patients with newly diagnosed glioblastoma participating in two different clinical trials

Chang, Susan
Molinaro, Annette
Nelson, Sarah
Wen, Q
Jalilian, L
Lupo, JM
Li, Y
Roy, R
Molinaro, AM
Chang, SM
Prados, M
Butowski, N
Clarke, J

January 2015

Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials

Qiuting Wen
Laleh Jalilian
Janine M. Lupo
Yan Li
Ritu Roy
Annette M. Molinaro
Susan M. Chang
Michael Prados
Nicholas Butowski
Jennifer Clarke
Sarah J. Nelson

December 2015

PURPOSE: To evaluate the time course and association with survival of anatomic lesion volumes and di...

Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials

Wen, Qiuting
Jalilian, Laleh
Lupo, Janine M.
Li, Yan
Roy, Ritu
Molinaro, Annette M.
Chang, Susan M.
Prados, Michael
Butowski, Nicholas
Clarke, Jennifer
Nelson, Sarah J.

December 2015

AbstractPURPOSE: To evaluate the time course and association with survival of anatomic lesion volume...

Predicting survival inss glioblastoma patients using diffusion mr imaging metrics—a systematic review

Brancato V.
Nuzzo S.
Tramontano L.
Condorelli G.
Salvatore M.
Cavaliere C.

January 2020

Despite advances in surgical and medical treatment of glioblastoma (GBM), the medium survival is abo...

Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas

Coban, G.
Mohan, S.
Kural, F.
Wang, S.
O'Rourke, D.M.
Poptani, H.

January 2015

BACKGROUND AND PURPOSE: Prediction of survival in patients with glioblastomas is important for indiv...

Glioblastoma treated with postoperative radio-chemotherapy : Prognostic value of apparent diffusion coefficient at MR imaging

Yamasaki, Fumiyuki
Sugiyama, Kazuhiko
Ohtaki, Megu
Takeshima, Yukio
Abe, Nobukazu
Akiyama, Yuuji
Takaba, Junko
Vishwa, Jeet Amatya
Saitou, Taiichi
Kajiwara, Yoshinori
Hanaya, Ryosuke
Kurisu, Kaoru

March 2010

Purpose: To retrospectively evaluate whether the mean, minimum, and maximum apparent diffusion coeff...

Survival associations using perfusion and diffusion magnetic resonance imaging in patients with histologic and genetic defined diffuse glioma World Health Organization grades II and III

Latysheva, Anna
Emblem, Kyrre Eeg
Server, Andrés
Brandal, Petter
Meling, Torstein Ragnar
Pahnke, Jens
Hald, John K

January 2018

Objective: According to the new World Health Organization 2016 classification for tumors of the cent...

Diffusion MR Characteristics Following Concurrent Radiochemotherapy Predicts Progression-Free and Overall Survival in Newly Diagnosed Glioblastoma.

Chang, Warren
Pope, Whitney B
Harris, Robert J
Hardy, Anthony J
Leu, Kevin
Mody, Reema R
Nghiemphu, Phioanh L
Lai, Albert
Cloughesy, Timothy F
Ellingson, Benjamin M

September 2015

The standard of care for newly diagnosed glioblastoma (GBM) is surgery, then radiotherapy (RT) with ...

Perfusion and diffusion MRI of glioblastoma progression in a four-year prospective temozolomide clinical trial.

Leimgruber, A.
Ostermann, S.
Yeon, E.J.
Buff, E.
Maeder, P.P.
Stupp, R.
Meuli, R.A.

January 2006

PURPOSE: This study was performed to determine the impact of perfusion and diffusion magnetic resona...

Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient.

Brasil Caseiras, Gisele
Ciccarelli, Olga
Altmann, Daniel R
Benton, Christopher E
Tozer, Daniel J
Tofts, Paul S
Yousry, Tarek A
Rees, Jeremy
Waldman, Adam D
Jäger, Hans Rolf

January 2009

PURPOSE: To prospectively compare tumor volume, relative cerebral blood volume (rCBV), and apparent ...

Survival Prediction Analysis in Glioblastoma With Diffusion Kurtosis Imaging

Yuan Li
Yuan Li
Michelle M. Kim
Daniel R. Wahl
Theodore S. Lawrence
Hemant Parmar
Yue Cao
Yue Cao
Yue Cao

July 2021

Simple SummaryGlioblastoma (GBM) is the most common and aggressive primary brain tumor. Diffusion ku...

Integration of Physiologic MRI to Improve Antiangiogenic Treatment Management for Patients with Glioblastoma

Essock-Burns, Emma

January 2012

Advances in targeted therapies for patients with glioblastoma require simultaneous advances in nonin...

MRI manifestions correlate with survival of glioblastoma multiforme patients.

Li, W-B
Tang, K
Chen, Q
Li, S
Qiu, X-G
Li, S-W
Jiang, T

June 2012

OBJECTIVE: To identify the correlation between magnetic resonance manifestation and survival of pati...

Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change

Chenevert, Thomas L
Malyarenko, Dariya I
Galbán, Craig J
Gomez-Hassan, Diana M
Sundgren, Pia C
Tsien, Christina I
Ross, Brian D

March 2019

Noninvasive imaging methods are sought to objectively predict early response to therapy for high-gra...

Comparison of ADC metrics and their association with outcome for patients with newly diagnosed glioblastoma being treated with radiation therapy, temozolomide, erlotinib and bevacizumab

Molinaro, Annette
Chang, Susan
Prados, Michael
Wen, Q
Jalilian, L
Lupo, JM
Molinaro, AM
Chang, SM
Clarke, JL
Prados, MD
Nelson, SJ

October 2014

Association of diffusion and anatomic imaging parameters with survival for patients with newly diagnosed glioblastoma participating in two different clinical trials

Chang, Susan
Molinaro, Annette
Nelson, Sarah
Wen, Q
Jalilian, L
Lupo, JM
Li, Y
Roy, R
Molinaro, AM
Chang, SM
Prados, M
Butowski, N
Clarke, J

January 2015

Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials

Qiuting Wen
Laleh Jalilian
Janine M. Lupo
Yan Li
Ritu Roy
Annette M. Molinaro
Susan M. Chang
Michael Prados
Nicholas Butowski
Jennifer Clarke
Sarah J. Nelson

December 2015

PURPOSE: To evaluate the time course and association with survival of anatomic lesion volumes and di...

Association of Diffusion and Anatomic Imaging Parameters with Survival for Patients with Newly Diagnosed Glioblastoma Participating in Two Different Clinical Trials

Wen, Qiuting
Jalilian, Laleh
Lupo, Janine M.
Li, Yan
Roy, Ritu
Molinaro, Annette M.
Chang, Susan M.
Prados, Michael
Butowski, Nicholas
Clarke, Jennifer
Nelson, Sarah J.

December 2015

AbstractPURPOSE: To evaluate the time course and association with survival of anatomic lesion volume...

Predicting survival inss glioblastoma patients using diffusion mr imaging metrics—a systematic review

Brancato V.
Nuzzo S.
Tramontano L.
Condorelli G.
Salvatore M.
Cavaliere C.

January 2020

Despite advances in surgical and medical treatment of glioblastoma (GBM), the medium survival is abo...

Prognostic Value of Dynamic Susceptibility Contrast-Enhanced and Diffusion-Weighted MR Imaging in Patients with Glioblastomas

Coban, G.
Mohan, S.
Kural, F.
Wang, S.
O'Rourke, D.M.
Poptani, H.

January 2015

BACKGROUND AND PURPOSE: Prediction of survival in patients with glioblastomas is important for indiv...

Glioblastoma treated with postoperative radio-chemotherapy : Prognostic value of apparent diffusion coefficient at MR imaging

Yamasaki, Fumiyuki
Sugiyama, Kazuhiko
Ohtaki, Megu
Takeshima, Yukio
Abe, Nobukazu
Akiyama, Yuuji
Takaba, Junko
Vishwa, Jeet Amatya
Saitou, Taiichi
Kajiwara, Yoshinori
Hanaya, Ryosuke
Kurisu, Kaoru

March 2010

Purpose: To retrospectively evaluate whether the mean, minimum, and maximum apparent diffusion coeff...

Survival associations using perfusion and diffusion magnetic resonance imaging in patients with histologic and genetic defined diffuse glioma World Health Organization grades II and III

Latysheva, Anna
Emblem, Kyrre Eeg
Server, Andrés
Brandal, Petter
Meling, Torstein Ragnar
Pahnke, Jens
Hald, John K

January 2018

Objective: According to the new World Health Organization 2016 classification for tumors of the cent...

Diffusion MR Characteristics Following Concurrent Radiochemotherapy Predicts Progression-Free and Overall Survival in Newly Diagnosed Glioblastoma.

Chang, Warren
Pope, Whitney B
Harris, Robert J
Hardy, Anthony J
Leu, Kevin
Mody, Reema R
Nghiemphu, Phioanh L
Lai, Albert
Cloughesy, Timothy F
Ellingson, Benjamin M

September 2015

The standard of care for newly diagnosed glioblastoma (GBM) is surgery, then radiotherapy (RT) with ...

Perfusion and diffusion MRI of glioblastoma progression in a four-year prospective temozolomide clinical trial.

Leimgruber, A.
Ostermann, S.
Yeon, E.J.
Buff, E.
Maeder, P.P.
Stupp, R.
Meuli, R.A.

January 2006

PURPOSE: This study was performed to determine the impact of perfusion and diffusion magnetic resona...

Low-grade gliomas: six-month tumor growth predicts patient outcome better than admission tumor volume, relative cerebral blood volume, and apparent diffusion coefficient.

Brasil Caseiras, Gisele
Ciccarelli, Olga
Altmann, Daniel R
Benton, Christopher E
Tozer, Daniel J
Tofts, Paul S
Yousry, Tarek A
Rees, Jeremy
Waldman, Adam D
Jäger, Hans Rolf

January 2009

PURPOSE: To prospectively compare tumor volume, relative cerebral blood volume (rCBV), and apparent ...

Survival Prediction Analysis in Glioblastoma With Diffusion Kurtosis Imaging

Yuan Li
Yuan Li
Michelle M. Kim
Daniel R. Wahl
Theodore S. Lawrence
Hemant Parmar
Yue Cao
Yue Cao
Yue Cao

July 2021

Simple SummaryGlioblastoma (GBM) is the most common and aggressive primary brain tumor. Diffusion ku...

Integration of Physiologic MRI to Improve Antiangiogenic Treatment Management for Patients with Glioblastoma

Essock-Burns, Emma

January 2012

Advances in targeted therapies for patients with glioblastoma require simultaneous advances in nonin...

MRI manifestions correlate with survival of glioblastoma multiforme patients.

Li, W-B
Tang, K
Chen, Q
Li, S
Qiu, X-G
Li, S-W
Jiang, T

June 2012

OBJECTIVE: To identify the correlation between magnetic resonance manifestation and survival of pati...

Comparison of Voxel-Wise and Histogram Analyses of Glioma ADC Maps for Prediction of Early Therapeutic Change

Chenevert, Thomas L
Malyarenko, Dariya I
Galbán, Craig J
Gomez-Hassan, Diana M
Sundgren, Pia C
Tsien, Christina I
Ross, Brian D

March 2019

Noninvasive imaging methods are sought to objectively predict early response to therapy for high-gra...

Comparison of ADC metrics and their association with outcome for patients with newly diagnosed glioblastoma being treated with radiation therapy, temozolomide, erlotinib and bevacizumab

Molinaro, Annette
Chang, Susan
Prados, Michael
Wen, Q
Jalilian, L
Lupo, JM
Molinaro, AM
Chang, SM
Clarke, JL
Prados, MD
Nelson, SJ

October 2014

Association of diffusion and anatomic imaging parameters with survival for patients with newly diagnosed glioblastoma participating in two different clinical trials

Abstract

Extracted data

Association of diffusion and anatomic imaging parameters with survival for patients with newly diagnosed glioblastoma participating in two different clinical trials

Abstract

Extracted data

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