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David C Newitt

Showing results (41-50 of 47) with videos related to

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Cancers|September 23, 2022
Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant ImmunotherapyWen Li, Nu N Le, Natsuko Onishi, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 17, 2016
MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trialPatrick J Bolan, Eunhee Kim, Benjamin A Herman, et al.
Magnetic Resonance in Medicine|September 16, 2017
Accuracy, repeatability, and interplatform reproducibility of T<sub>1</sub> quantification methods used for DCE-MRI: Results from a multicenter phantom studyOctavia Bane, Stefanie J Hectors, Mathilde Wagner, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 13, 2017
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging NetworkDavid C Newitt, Dariya Malyarenko, Thomas L Chenevert, et al.
Radiology. Imaging Cancer|January 5, 2024
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 ChallengeWen Li, Savannah C Partridge, David C Newitt, et al.
NPJ Breast Cancer|December 10, 2020
Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIALWen Li, David C Newitt, Jessica Gibbs, et al.
Radiology|August 24, 2021
Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment ResponseNatsuko Onishi, Wen Li, David C Newitt, et al.
Pageof 5

Showing results (41-50 of 47) with videos related to

Sort By:
Pageof 5
You have reached the last page of results.This site can display upto 47 results.
Cancers|September 23, 2022
Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant ImmunotherapyWen Li, Nu N Le, Natsuko Onishi, et al.
Journal of Magnetic Resonance Imaging : JMRI|December 17, 2016
MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trialPatrick J Bolan, Eunhee Kim, Benjamin A Herman, et al.
Magnetic Resonance in Medicine|September 16, 2017
Accuracy, repeatability, and interplatform reproducibility of T<sub>1</sub> quantification methods used for DCE-MRI: Results from a multicenter phantom studyOctavia Bane, Stefanie J Hectors, Mathilde Wagner, et al.
Journal of Medical Imaging (Bellingham, Wash.)|October 13, 2017
Multisite concordance of apparent diffusion coefficient measurements across the NCI Quantitative Imaging NetworkDavid C Newitt, Dariya Malyarenko, Thomas L Chenevert, et al.
Radiology. Imaging Cancer|January 5, 2024
Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 ChallengeWen Li, Savannah C Partridge, David C Newitt, et al.
NPJ Breast Cancer|December 10, 2020
Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIALWen Li, David C Newitt, Jessica Gibbs, et al.
Radiology|August 24, 2021
Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment ResponseNatsuko Onishi, Wen Li, David C Newitt, et al.
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