S. Partridge

发表

MRI measurements of breast tumor volume predict response to neoadjuvant chemotherapy and recurrence-free survival.

L. Esserman, N. Hylton, E. Hwang, 2005, AJR. American journal of roentgenology.

Diffusion tensor imaging: serial quantitation of white matter tract maturity in premature newborns

Roland G. Henry, Hua Jin, Daniel B. Vigneron, 2004, NeuroImage.

Apparent exchange rate for breast cancer characterization

L. Saal, S. Partridge, M. Nilsson, 2016, NMR in biomedicine.

Breast MR imaging: computer-aided evaluation program for discriminating benign from malignant lesions.

Wendy B DeMartini, C. Lehman, S. Peacock, 2007, Radiology.

Differential diagnosis of mammographically and clinically occult breast lesions on diffusion‐weighted MRI

Wendy B DeMartini, Brenda F Kurland, Savannah C Partridge, 2010, Journal of magnetic resonance imaging : JMRI.

Diffusion tensor imaging of the superior cerebellar peduncle identifies patients with posterior fossa syndrome

Samuel R. Browd, Richard G. Ellenbogen, Jeffrey G. Ojemann, 2013, Child's Nervous System.

Tractography‐based quantitation of diffusion tensor imaging parameters in white matter tracts of preterm newborns

Steven P. Miller, R. Henry, D. Vigneron, 2005, Journal of magnetic resonance imaging : JMRI.

DWI in the Assessment of Breast Lesions

Savannah C. Partridge, S. Partridge, N. Amornsiripanitch, 2017, Topics in magnetic resonance imaging : TMRI.

Diffusion‐weighted breast MRI: Clinical applications and emerging techniques

Noam Nissan, Savannah C Partridge, Eric E Sigmund, 2017, Journal of magnetic resonance imaging : JMRI.

Additive value of diffusion‐weighted MRI in the I‐SPY 2 TRIAL

L. Esserman, N. Hylton, S. Partridge, 2019, Journal of magnetic resonance imaging : JMRI.

Test–retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial

L. Esserman, N. Hylton, T. Chenevert, 2018, Journal of magnetic resonance imaging : JMRI.

Diffusion‐weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2– breast cancers

S. Partridge, D. Hippe, M. Rendi, 2018, Journal of magnetic resonance imaging : JMRI.

Tumor radiomic heterogeneity: Multiparametric functional imaging to characterize variability and predict response following cervical cancer radiation therapy

Paul E Kinahan, Zhibin Huang, Michael V Knopp, 2018, Journal of magnetic resonance imaging : JMRI.

Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.

Wendy B DeMartini, Brenda F Kurland, Savannah C Partridge, 2009, AJR. American journal of roentgenology.

Are Qualitative Assessments of Background Parenchymal Enhancement, Amount of Fibroglandular Tissue on MR Images, and Mammographic Density Associated with Breast Cancer Risk?

Savannah C Partridge, Habib Rahbar, Constance D Lehman, 2015, Radiology.

Diffusion-weighted imaging of the breast—a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group

D. Le Bihan, F. Gilbert, A. Patterson, 2019, European Radiology.

Accuracy of MR imaging for revealing residual breast cancer in patients who have undergone neoadjuvant chemotherapy.

Ying Lu, Savannah C Partridge, L. Esserman, 2002, AJR. American journal of roentgenology.

Accuracy of 3 T versus 1.5 T breast MRI for pre-operative assessment of extent of disease in newly diagnosed DCIS.

Wendy B DeMartini, Amie Y Lee, C. Lehman, 2015, European journal of radiology.

Magnetic Resonance Imaging: Advanced Applications in Breast Cancer

S. Partridge, H. Rahbar, Averi Kitsch, 2016, Current Radiology Reports.

Multiparametric MR Imaging of Breast Cancer.

S. Partridge, H. Rahbar, 2016, Magnetic resonance imaging clinics of North America.

Diffusion‐weighted imaging outside the brain: Consensus statement from an ISMRM‐sponsored workshop

Lawrence Tanenbaum, Sebastiano Barbieri, Dow-Mu Koh, 2016, Journal of magnetic resonance imaging : JMRI.

Screening MRI in Women With a Personal History of Breast Cancer.

Wendy B DeMartini, Savannah C Partridge, Daniel S Hippe, 2016, Journal of the National Cancer Institute.

Breast MRI for cancer detection and characterization: a review of evidence-based clinical applications.

Wendy B DeMartini, Constance Lehman, C. Lehman, 2008, Academic radiology.

Comparison of prone versus supine 18F-FDG-PET of locally advanced breast cancer: Phantom and preliminary clinical studies.

Sudheer D. Rani, Paul Kinahan, T. Yankeelov, 2015, Medical physics.

Tumor-induced lymph node alterations detected by MRI lymphography using gadolinium nanoparticles

A. Ruddell, S. Partridge, B. Kurland, 2015, Scientific Reports.

Tumor‐induced alterations in lymph node lymph drainage identified by contrast‐enhanced MRI

A. Ruddell, S. Partridge, S. Ganti, 2015, Journal of magnetic resonance imaging : JMRI.

Dynamic Contrast-Enhanced Magnetic Resonance Imaging of

A. Ruddell, S. Minoshima, S. Partridge, 2008 .

Retrospective Correction of ADC for Gradient Nonlinearity Errors in Multicenter Breast DWI Trials: ACRIN6698 Multiplatform Feasibility Study

N. Hylton, T. Chenevert, S. Partridge, 2020, Tomography.

Diffusion weighted magnetic resonance imaging of the breast: protocol optimization, interpretation, and clinical applications.

S. Partridge, E. McDonald, 2013, Magnetic resonance imaging clinics of North America.

Diffusion Weighted Magnetic Resonance Imaging of the Breast Optimization, Interpretation, and

S. Partridge, E. McDonald, 2013 .

ADCs of Benign and High-Risk Subtypes Assessed as False-Positive at Dynamic Enhanced MR Imaging 1

Wendy B DeMartini, Matthew L. Olson, C. Lehman, 2012 .

Diffusion‐weighted imaging: Effects of intravascular contrast agents on apparent diffusion coefficient measures of breast malignancies at 3 tesla

Savannah C Partridge, Matthew L. Olson, Habib Rahbar, 2015, Journal of magnetic resonance imaging : JMRI.

Regulation of Collective Metastasis by Nanolumenal Signaling

Kevin J. Cheung, S. Partridge, Yin Huang, 2020, Cell.

A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice

D. Le Bihan, F. Gilbert, S. Partridge, 2022, European Radiology.

Discrimination of Malignant and Benign Breast Lesions Using Quantitative Multiparametric MRI: A Preliminary Study

Wei Huang, S. Partridge, Xin Li, 2020, Tomography.

Diffusion weighted MRI of the breast: Protocol optimization, guidelines for interpretation, and potential clinical applications

S. Partridge, E. McDonald, 2013 .

Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis

S. Partridge, A. Wienke, Jin You Kim, 2018, Breast Cancer Research.

Diffusion-Weighted Breast Magnetic Resonance Imaging: A Semiautomated Voxel Selection Technique Improves Interreader Reproducibility of Apparent Diffusion Coefficient Measurements

Matthew L. Olson, Joshua O. Usoro, J. Scheel, 2016, Journal of computer assisted tomography.

Editorial on “Diffusion‐Weighted Double‐Echo Steady‐State with a 3D Cones Trajectory for Non‐Contrast‐Enhanced Breast MRI”

S. Partridge, H. Rahbar, 2021, Journal of magnetic resonance imaging : JMRI.

Repeatability and Reproducibility of ADC Histogram Metrics from the ACRIN 6698 Breast Cancer Therapy Response Trial

N. Hylton, T. Chenevert, B. Ross, 2020, Tomography.

Emerging Techniques Bring Diffusion-weighted Imaging of the Breast into Focus.

S. Partridge, 2020, Radiology.

Editorial for “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”

S. Partridge, H. Rahbar, R. Ha, 2020, Journal of magnetic resonance imaging : JMRI.

Background parenchymal enhancement on breast MRI: A comprehensive review

Leah C Henze Bancroft, Geraldine J. Liao, Rhea D. Chitalia, 2020, Journal of magnetic resonance imaging : JMRI.

Predicting breast cancer response to neoadjuvant treatment using multi-feature MRI: results from the I-SPY 2 TRIAL

D. Berry, L. Esserman, D. Kontos, 2020, npj Breast Cancer.

Improved B1 homogeneity of 3 tesla breast MRI using dual‐source parallel radiofrequency excitation

Wendy B DeMartini, C. Lehman, S. Partridge, 2012, Journal of magnetic resonance imaging : JMRI.

Are Physicians Influenced by Their Own Specialty Society's Guidelines Regarding Mammography Screening? An Analysis of Nationally Representative Data.

Christoph I. Lee, J. Elmore, J. Scheel, 2016, AJR. American journal of roentgenology.

Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival-Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL.

Mitchell D Schnall, Elizabeth A Morris, Constantine A Gatsonis, 2016, Radiology.

How Can Advanced Imaging Be Used to Mitigate Potential Breast Cancer Overdiagnosis?

Christoph I. Lee, S. Partridge, Janie M. Lee, 2016, Academic radiology.

Dynamic contrast-enhanced magnetic resonance imaging of tumor-induced lymph flow.

A. Ruddell, S. Minoshima, S. Partridge, 2008, Neoplasia.

Mean Apparent Diffusion Coefficient Is a Sufficient Conventional Diffusion-weighted MRI Metric to Improve Breast MRI Diagnostic Performance: Results from the ECOG-ACRIN Cancer Research Group A6702 Diffusion Imaging Trial.

Colleen H. Neal, Wendy B DeMartini, T. Yankeelov, 2020, Radiology.

Effect of Inter-Reader Variability on Diffusion-Weighted MRI Apparent Diffusion Coefficient Measurements and Prediction of Pathologic Complete Response for Breast Cancer

L. Esserman, N. Hylton, S. Partridge, 2022, Tomography.

of the Breast into Focus

S. Partridge, 2020 .

Diffusion-weighted MRI in Multicenter Trials of Breast Cancer.

N. Hylton, T. Chenevert, S. Partridge, 2019, Radiology.

Accuracy of Preoperative Breast MRI Versus Conventional Imaging in Measuring Pathologic Extent of Invasive Lobular Carcinoma.

H. Linden, S. Partridge, D. Hippe, 2021, Journal of breast imaging.

Body MR Imaging at 3.0 Tesla: Breast MR imaging

C. Lehman, S. Partridge, H. Rahbar, 2011 .

A Novel Algorithm Using Within-leg Calibration for Enhanced Accuracy of Detection of Arthritis by Infrared Thermal Imaging in Children

S. Partridge, C. Wallace, R. Iyer, 2021, The Journal of Rheumatology.

A survey by the European Society of Breast Imaging on the implementation of breast diffusion-weighted imaging in clinical practice

D. Le Bihan, F. Gilbert, A. Patterson, 2022, European Radiology.

Diffusion-Weighted MRI for Predicting Pathologic Complete Response in Neoadjuvant Immunotherapy

L. V. van't Veer, L. Esserman, N. Hylton, 2022, Cancers.

Characterization of breast tumors using the FIESTA technique and contrast-enhanced MRI

N. Hylton, S. Partridge, J. Gibbs, 2002 .

Performance of DWI as a Rapid Unenhanced Technique for Detecting Mammographically Occult Breast Cancer in Elevated-Risk Women With Dense Breasts.

Christoph I. Lee, J. Scheel, C. Lehman, 2016, AJR. American journal of roentgenology.

Validating within-limb calibrated algorithm using a smartphone attached infrared thermal camera for detection of arthritis in children.

S. Partridge, Joshua Scheck, Debosmita Biswas, 2023, Journal of thermal biology.

A Pilot Study of Infrared Thermal Imaging to Detect Active Bone Lesions in Children With Chronic Nonbacterial Osteomyelitis

S. Partridge, A. Oron, Averi Kitsch, 2019, Arthritis care & research.

Pyramidal tract maturation after brain injury in newborns with heart disease

Steven P. Miller, R. Henry, D. Vigneron, 2006, Annals of neurology.

Intrinsic radiomics phenotypes of DCI from breast DCE-MRI: demonstrating feasibility in interim analysis of the ECOG-ACRIN E4112 trial

Despina Kontos, Constantine Gatsonis, Antonio C. Wolff, 2021, Medical Imaging.

Diffusion-weighted MRI: influence of intravoxel fat signal and breast density on breast tumor conspicuity and apparent diffusion coefficient measurements.

Nola M. Hylton, Lisa Singer, Savannah C. Partridge, 2011, Magnetic resonance imaging.

Imaging for Response Assessment in Cancer Clinical Trials.

T. Yankeelov, S. Partridge, A. Sorace, 2020, Seminars in nuclear medicine.

Agreement between MRI and pathologic breast tumor size after neoadjuvant chemotherapy, and comparison with alternative tests: individual patient data meta-analysis

L. Irwig, S. Partridge, P. Macaskill, 2015, BMC Cancer.

MRI, Clinical Examination, and Mammography for Preoperative Assessment of Residual Disease and Pathologic Complete Response After Neoadjuvant Chemotherapy for Breast Cancer: ACRIN 6657 Trial.

Mitchell D Schnall, Elizabeth A Morris, Etta D Pisano, 2018, AJR. American journal of roentgenology.

Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial.

Zheng Zhang, Hiroyuki Abe, Thomas L Chenevert, 2018, Radiology.

Diffusion tensor MRI: Preliminary anisotropy measures and mapping of breast tumors

Wendy B DeMartini, Savannah C Partridge, Revathi Murthy, 2010, Journal of magnetic resonance imaging : JMRI.

Screening Breast MRI Primer: Indications, Current Protocols, and Emerging Techniques.

S. Partridge, L. Heacock, C. Mercado, 2021, Journal of breast imaging.

Apparent diffusion coefficient cannot predict molecular subtype and lymph node metastases in invasive breast cancer: a multicenter analysis

S. Partridge, A. Wienke, Jin You Kim, 2019, BMC Cancer.

Breast magnetic resonance imaging: diffusion-weighted imaging.

Savannah C Partridge, Constance D Lehman, C. Lehman, 2013, Magnetic resonance imaging clinics of North America.

Nonmalignant breast lesions: ADCs of benign and high-risk subtypes assessed as false-positive at dynamic enhanced MR imaging.

Wendy B DeMartini, Savannah C Partridge, Matthew L. Olson, 2012, Radiology.

Diffusion tensor magnetic resonance imaging of the normal breast.

Savannah C Partridge, Constance D Lehman, C. Lehman, 2010, Magnetic resonance imaging.

Characterization of ductal carcinoma in situ on diffusion weighted breast MRI

Wendy B DeMartini, Habib Rahbar, C. Lehman, 2011, European Radiology.

Editorial for "Contrasts Between Diffusion-Weighted Imaging and Dynamic Contrast-Enhanced MR in Diagnosing Malignancies of Breast Non-Mass Enhancement Lesions Based on Morphologic Assessment".

Anum S. Kazerouni, S. Partridge, 2023, Journal of magnetic resonance imaging : JMRI.

Is NME the enemy of breast DWI?

Anum S. Kazerouni, S. Partridge, H. Rahbar, 2022, European journal of radiology.

Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size.

Wendy B DeMartini, Brenda F Kurland, Savannah C Partridge, 2010, AJR. American journal of roentgenology.

Visibility of mammographically occult breast cancer on diffusion-weighted MRI versus ultrasound.

S. Partridge, D. Lam, N. Amornsiripanitch, 2018, Clinical imaging.

Diffusion-weighted MRI for Unenhanced Breast Cancer Screening.

S. Partridge, N. Amornsiripanitch, H. Rahbar, 2019, Radiology.

Diffusion tensor imaging for characterizing tumor microstructure and improving diagnostic performance on breast MRI: a prospective observational study

S. Partridge, D. Hippe, M. Rendi, 2019, Breast Cancer Research.

Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast‐enhanced kinetics

Wendy B DeMartini, C. Lehman, S. Partridge, 2011, Magnetic resonance in medicine.

Suspicious axillary lymph nodes identified on clinical breast MRI in patients newly diagnosed with breast cancer: can quantitative features improve discrimination of malignant from benign?

C. Lehman, S. Peacock, S. Partridge, 2015, Academic radiology.

Diffusion-weighted MRI: association between patient characteristics and apparent diffusion coefficients of normal breast fibroglandular tissue at 3 T.

Wendy B DeMartini, Savannah C Partridge, Habib Rahbar, 2014, AJR. American journal of roentgenology.

In vivo assessment of ductal carcinoma in situ grade: a model incorporating dynamic contrast-enhanced and diffusion-weighted breast MR imaging parameters.

Wendy B DeMartini, C. Lehman, S. Peacock, 2012, Radiology.

MRI-detected suspicious breast lesions: predictive values of kinetic features measured by computer-aided evaluation.

Wendy B DeMartini, Savannah C Partridge, Constance D Lehman, 2009, AJR. American journal of roentgenology.

Diffusion tensor imaging for characterizing tumor microstructure and improving diagnostic performance on breast MRI: a prospective observational study

S. Partridge, D. Hippe, M. Rendi, 2019, Breast Cancer Research.

Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702)

Colleen H. Neal, Wendy B DeMartini, C. Lehman, 2019, Clinical Cancer Research.

Menstrual cycle variation of apparent diffusion coefficients measured in the normal breast using MRI

G C McKinnon, N M Hylton, N. Hylton, 2001, Journal of magnetic resonance imaging : JMRI.

Diffusion-weighted imaging reflects variable cellularity and stromal density present in breast fibroadenomas.

S. Partridge, M. Rendi, H. Rahbar, 2016, Clinical imaging.

Six DWI questions you always wanted to know but were afraid to ask: clinical relevance for breast diffusion MRI

D. Le Bihan, S. Partridge, M. Iima, 2020, European Radiology.

The Value of Patient and Tumor Factors in Predicting Preoperative Breast MRI Outcomes.

Christoph I. Lee, S. Partridge, M. van der Schaar, 2020, Radiology. Imaging cancer.

Breast MRI during Neoadjuvant Chemotherapy: Lack of Background Parenchymal Enhancement Suppression and Inferior Treatment Response.

D. Berry, L. Esserman, D. Kontos, 2021, Radiology.

Imaging axillary lymph nodes in patients with newly diagnosed breast cancer.

C. Lehman, S. Partridge, H. Rahbar, 2012, Current problems in diagnostic radiology.

Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial

Xia Li, Jack Virostko, Wei Huang, 2018, Journal of medical imaging.

Comparing microstructural and macrostructural development of the cerebral cortex in premature newborns: Diffusion tensor imaging versus cortical gyration

Hua Jin, Roland G. Henry, Ying Lu, 2005, NeuroImage.

Long-term cognitive impairment of breast cancer patients after chemotherapy: A functional MRI study.

S. Partridge, B. Qiu, Sheng Hu, 2016, European journal of radiology.

Association between serial dynamic contrast‐enhanced MRI and dynamic 18F‐FDG PET measures in patients undergoing neoadjuvant chemotherapy for locally advanced breast cancer

Xiaoyu Chai, David A Mankoff, Brenda F Kurland, 2010, Journal of magnetic resonance imaging : JMRI.

Breast DCE-MRI: influence of postcontrast timing on automated lesion kinetics assessments and discrimination of benign and malignant lesions.

Wendy B DeMartini, Roberta M Strigel, Savannah C Partridge, 2014, Academic radiology.

Influence of Menstrual Cycle Timing on Screening Breast MRI Background Parenchymal Enhancement and Diagnostic Performance in Premenopausal Women.

Wendy B DeMartini, C. Lehman, S. Partridge, 2019, Journal of breast imaging.

Early laminar organization of the human cerebrum demonstrated with diffusion tensor imaging in extremely premature infants

Roland G. Henry, Daniel B. Vigneron, Julio Carballido-Gamio, 2004, NeuroImage.

Early laminar organization of the human cerebrum demonstrated by automatic segmentation of diffusion tensor MR images in extremely premature infants

Steven P. Miller, R. Henry, D. Vigneron, 2004 .

End-to-End Learning of Fused Image and Non-Image Features for Improved Breast Cancer Classification from MRI

Adam M. Alessio, Savannah C. Partridge, Debosmita Biswas, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

Management of high-risk breast lesions found on mammogram or ultrasound: the value of contrast-enhanced MRI to exclude malignancy.

S. Partridge, H. Rahbar, Sarah G Deitch, 2018, Clinical imaging.

Factors Affecting Image Quality and Lesion Evaluability in Breast Diffusion-weighted MRI: Observations from the ECOG-ACRIN Cancer Research Group Multisite Trial (A6702).

Colleen H. Neal, T. Yankeelov, N. Hylton, 2020, Journal of breast imaging.

The Impact of Preoperative Breast MRI on Surgical Management of Women with Newly Diagnosed Ductal Carcinoma In Situ.

C. Lehman, S. Partridge, D. Hippe, 2020, Academic radiology.

Metabolic and vascular features of dynamic contrast-enhanced breast magnetic resonance imaging and (15)O-water positron emission tomography blood flow in breast cancer.

D. Mankoff, C. Lehman, S. Partridge, 2008, Academic radiology.

Quantitative diffusion tensor MRI fiber tractography of sensorimotor white matter development in premature infants

Roland G. Henry, Daniel B. Vigneron, Steven P. Miller, 2005, NeuroImage.

AG-013736, a novel inhibitor of VEGF receptor tyrosine kinases, inhibits breast cancer growth and decreases vascular permeability as detected by dynamic contrast-enhanced magnetic resonance imaging.

Ying Lu, Ka-Loh Li, Roland G Henry, 2007, Magnetic resonance imaging.

Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis

Kevin J. Cheung, S. Partridge, D. Hippe, 2021, NPJ breast cancer.

Dynamic contrast-enhanced breast MRI features correlate with invasive breast cancer angiogenesis

Kevin J. Cheung, S. Partridge, D. Hippe, 2021, npj Breast Cancer.

Preoperative MRI improves prediction of extensive occult axillary lymph node metastases in breast cancer patients with a positive sentinel lymph node biopsy.

D. Mankoff, C. Lehman, S. Peacock, 2014, Academic radiology.

Agreement between MRI and pathologic breast tumor size after neoadjuvant chemotherapy, and comparison with alternative tests: individual patient data meta-analysis

L. Irwig, S. Partridge, P. Macaskill, 2015, BMC Cancer.

Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis

S. Partridge, A. Wienke, Jin You Kim, 2018, Breast Cancer Research.

Apparent diffusion coefficient cannot predict molecular subtype and lymph node metastases in invasive breast cancer: a multicenter analysis

S. Partridge, A. Wienke, Jin You Kim, 2019, BMC Cancer.

Simulating magnetic resonance images based on a model of tumor growth incorporating microenvironment

Kristin R. Swanson, Paul E. Kinahan, Andrea Hawkins-Daarud, 2018, Medical Imaging.

Breast MRI Technique

Roberta M. Strigel, Savannah C. Partridge, Habib Rahbar, 2017 .

OT2-03-06: ACRIN 6698 MR Imaging Biomarkers for Assessment of Breast Cancer Response to Neoadjuvant Chemotherapy: A Sub-Study of the I-SPY 2 TRIAL (Investigation of Serial Studies To Predict Your Therapeutic Response with Imaging And moLecular Analysis).

N. Hylton, S. Partridge, M. Rosen, 2011 .

Reducing the scan time in quantitative dynamic contrast enhanced MRI of the breast using the extended graphical model

Matthew L. Olson, W. Kerwin, S. Partridge, 2012 .

Breast Cancer Conspicuity on Computed Versus Acquired High b-Value Diffusion-Weighted MRI.

J. Scheel, S. Partridge, D. Hippe, 2020, Academic radiology.

Impact of Alternate b-Value Combinations and Metrics on the Predictive Performance and Repeatability of Diffusion-Weighted MRI in Breast Cancer Treatment: Results from the ECOG-ACRIN A6698 Trial

N. Hylton, T. Chenevert, S. Partridge, 2022, Tomography.

Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.

Ying Lu, Ka-Loh Li, Savannah C Partridge, 2008, Radiology.

Invasive Breast Cancer: Predicting DiseaseRecurrencebyUsingHigh- Spatial-ResolutionSignal

L. Esserman, N. Hylton, S. Partridge, 2008 .

Blood Flow-Metabolism Mismatch: Good for the Tumor, Bad for the Patient

D. Mankoff, S. Partridge, L. K. Dunnwald, 2009, Clinical Cancer Research.

Dynamic breast MRI: does lower temporal resolution negatively affect clinical kinetic analysis?

Wendy B DeMartini, Roberta M Strigel, Savannah C Partridge, 2012, AJR. American journal of roentgenology.

Can MRI biomarkers at 3 T identify low-risk ductal carcinoma in situ?

C. Lehman, S. Partridge, M. Rendi, 2016, Clinical imaging.

Breast Imaging Research: Tips for Obtaining Funding and Sustaining a Successful Career.

Christoph I. Lee, S. Partridge, H. Rahbar, 2023, Journal of breast imaging.

Comparative Performance of Contrast-enhanced Mammography, Abbreviated Breast MRI, and Standard Breast MRI for Breast Cancer Screening.

Christoph I. Lee, J. Scheel, S. Partridge, 2023, Radiology.

Associations of Multiparametric Breast MRI Features, Tumor-Infiltrating Lymphocytes, and Immune Gene Signature Scores Following a Single Dose of Trastuzumab in HER2-Positive Early-Stage Breast Cancer

Anum S. Kazerouni, S. Partridge, V. Gadi, 2023, Cancers.

Ductal Carcinoma in Situ: Quantitative Preoperative Breast MR Imaging Features Associated with Recurrence after Treatment.

Savannah C Partridge, Daniel S Hippe, Habib Rahbar, 2017, Radiology.

Double reading of automated breast ultrasound with digital mammography or digital breast tomosynthesis for breast cancer screening.

Daniel S. Hippe, Savannah C. Partridge, Geraldine J. Liao, 2019, Clinical imaging.

Diffusion tensor MRI: Preliminary anisotropy measures and mapping of breast tumors

Wendy B DeMartini, C. Lehman, S. Peacock, 2010, Journal of magnetic resonance imaging : JMRI.

Diffusion‐weighted imaging outside the brain: Consensus statement from an ISMRM‐sponsored workshop

C. Lehman, B. Taouli, T. Chenevert, 2016, Journal of magnetic resonance imaging : JMRI.

Accelerated Breast Diffusion-weighted Imaging Using Multiband Sensitivity Encoding with the CAIPIRINHA Method: Clinical Experience at 3 T.

J. Scheel, S. Partridge, D. Hippe, 2022, Radiology. Imaging cancer.

Suspicious axillary lymph nodes identified on clinical breast MRI in patients newly diagnosed with breast cancer: can quantitative features improve discrimination of malignant from benign?

Wendy B DeMartini, C. Lehman, S. Peacock, 2015, Academic radiology.

Computer Aided Diagnosis : Managing the Information Explosion & Decision Making Process – CAD of Breast MRI

S. Partridge, 2012 .

Diffusion‐weighted imaging: Effects of intravascular contrast agents on apparent diffusion coefficient measures of breast malignancies at 3 tesla

Matthew L. Olson, C. Lehman, S. Partridge, 2015, Journal of magnetic resonance imaging : JMRI.

Diagnostic Performance of Point-of-Care Apparent Diffusion Coefficient Measures to Reduce Biopsy in Breast Lesions at MRI: Clinical Validation.

Anum S. Kazerouni, S. Partridge, H. Rahbar, 2024, Radiology.

Non-contrast Breast MR Imaging.

S. Partridge, Jin You Kim, 2024, Radiologic clinics of North America.

Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring.

S. Partridge, H. J. Shin, S. Thakur, 2023, AJR. American journal of roentgenology.

Performance of DWI as a Rapid Unenhanced Technique for Detecting Mammographically Occult Breast Cancer in Elevated-Risk Women With Dense Breasts.

Christoph I. Lee, J. Scheel, C. Lehman, 2016, AJR. American journal of roentgenology.

Clinical and technical considerations for high quality breast MRI at 3 tesla

Wendy B DeMartini, C. Lehman, S. Partridge, 2013, Journal of magnetic resonance imaging : JMRI.

Apparent diffusion coefficient values may help predict which MRI‐detected high‐risk breast lesions will upgrade at surgical excision

S. Partridge, M. Rendi, H. Rahbar, 2017, Journal of magnetic resonance imaging : JMRI.

Invasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.

L. Esserman, N. Hylton, S. Partridge, 2008, Radiology.

Value of RECIST (Unidimensional), WHO (Bidimensional) and Volumetric Measures of Breast Tumor Response on MRI for Predicting Recurrence Free Survival in Patients Undergoing Preoperative Chemotherapy

N. Hylton, S. Partridge, J. Gibbs, 2005 .

Future Applications and Innovations of Clinical Breast Magnetic Resonance Imaging

S. Partridge, 2008, Topics in magnetic resonance imaging : TMRI.

Neoadjuvant Chemotherapy for Breast Cancer: Functional Tumor Volume by MR Imaging Predicts Recurrence-free Survival-Results from the ACRIN 6657/CALGB 150007 I-SPY 1 TRIAL.

L. Esserman, N. Hylton, C. Gatsonis, 2016, Radiology.

Breast Multiparametric MRI for Prediction of Neoadjuvant Chemotherapy Response in Breast Cancer: The BMMR2 Challenge.

Oscar J. Pellicer-Valero, Anum S. Kazerouni, Eric A. Cohen, 2024, Radiology. Imaging cancer.

MR spectroscopy of breast cancer for assessing early treatment response: Results from the ACRIN 6657 MRS trial

Elizabeth A Morris, Constantine A Gatsonis, Michael Garwood, 2017, Journal of magnetic resonance imaging : JMRI.

Preoperative MRI improves prediction of extensive occult axillary lymph node metastases in breast cancer patients with a positive sentinel lymph node biopsy.

D. Mankoff, C. Lehman, S. Peacock, 2014, Academic radiology.

Recurrence Rates After DCE-MRI Image Guided Planning for Breast-conserving Surgery Following Neoadjuvant Chemotherapy for Locally Advanced Breast Cancer Patients

S. Partridge, 2008 .

Assessment of Quantitative Magnetic Resonance Imaging Background Parenchymal Enhancement Parameters to Improve Determination of Individual Breast Cancer Risk

S. Partridge, D. Hippe, D. Lam, 2019, Journal of computer assisted tomography.