Faculty

Institution

Unit

Venue

Miral Mahesh Patel, M.D.

Associate Professor

The University of Texas MD Anderson Cancer Center

Affiliations

Department Of Breast Imaging

Miral Mahesh Patel, M.d. is currently serving as a Breast Imaging Associate Professor at The University of Texas Md Anderson Cancer Center.

Honors

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Experiences

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Education

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Miral Mahesh Patel, M.D.

The University of Texas MD Anderson Cancer Center

Associate Professor

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breast cancer radiology cancer imaging medical imaging oncology breast oncology breast imaging radiation oncology cancer care biomedical imaging cancer research cancer treatment cancer biology oncologic imaging triple-negative breast cancer neoadjuvant systemic therapy diagnosis pathology medicinal research early prediction health sciences molecular imaging oncogenes cancer discovery magnetic resonance imaging cancer management radiomics tumor biology nuclear medicine molecular cancer neuroradiology surgical pathology surgical oncology diagnostic imaging women's health systemic treatment radiation therapy positron emission tomography phase ii study pharmacotherapy radiographic imaging advanced imaging radiation biology cancer growth therapeutic imaging cancer screening prognostic factors ipsilateral internal mammary obesity medicine group process project management scientific data menopause hormone therapy endocrine-related cancers cancer risk distributed collaboration open collaboration biomedical modeling pathologic lesions instructional design learning-by-doing training systems performance assessment radiologic education paediatric radiology covid-19 pandemic obese postmenopausal patients her2-negative breast cancer neoadjuvant systemic treatment functional tumor volumes stromal tumor-infiltrating lymphocytes team science locoregional management egfr pathway breast angiosarcoma clinicopathological data

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract 3744: Peripheral Immune Indices Predict Pathologic Complete Response and Residual Cancer Burden in Inflammatory Breast Cancers. Cancer Research (2026)

breast oncologypathologyprognostic biomarkersimmunologyabstract 3744cancer discoveryperipheral immune indicesresidual cancer burdencancer cellsoncologybreast cancer

Abstract Ct012: A Phase 2 Single-Arm Open-Label Trial Evaluating Zanidatamab in Patients With Early Stage Her2 Positive Breast Cancer: The Neozanher Study. Cancer Research (2026)

breast oncologyoncogenesradiation oncologycancer careneozanher studyphase 2molecular cancerabstract ct012cancer discoverymedicinepharmacotherapycancer treatmentclinical trialsoncologybreast cancer

Locoregional Nodal Status at Initial Presentation on Ultrasound (Us) and Positron Emission Tomography/Computerized Tomography (18F-Fdg Pet/Ct) in Inflammatory Breast Cancer (Ibc) Patients is Predictive of Overall Survival. Clinical Breast Cancer (2026)

positron emission tomographymedical imagingdiagnosisradiologycancer imagingoncologic imagingbreast imagingoncologybreast cancer

Abstract P4-05-23: Quantitative Diffusion Weighted Imaging for Predicting Response to Neoadjuvant Therapy in Patients With Inflammatory Breast Cancer. Clinical Cancer Research (2025)

radiation oncologymedical imagingbiomedical imagingradiologycancer imagingoncologic imagingtherapeutic imaginginflammatory breast cancerquantitative diffusionneoadjuvant therapybreast imagingbreast cancer

Abstract P4-06-07: The Impact of a Multidisciplinary Quality Assurance Conference on the Management of Inflammatory Breast Cancer. Clinical Cancer Research (2025)

breast oncologyradiation oncologyabstract p4-06-07inflammatory breast cancermedicinecancer managementcancer lettercancer careoncologybreast cancer

Aso Visual Abstract: Trends in Atypical Ductal Hyperplasia Diagnosis and Upgrade—a Twenty-Year Experience and Impact of Mri Use on Upgrade Rates. Annals of Surgical Oncology (2025)

surgerydiagnostic neuroradiologymedical imagingfunctional imagingdiagnosissurgical pathologyradiologyupgrade ratesneuroradiologymri useneuroimagingaso visual abstract

Deep Learning Models Based on Pretreatment Mri and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer. Cancers (2025)

Zhan XuZijian ZhouJong Bum SonHaonan FengBeatriz E. AdradaTanya W. MoseleyRosalind P. CandelariaMary S. GuirguisMiral M. PatelGary J. WhitmanJessica W. T. LeungHuong T. C. Le-PetrossRania M. MohamedBikash PanthiDeanna L. LaneHuiqin ChenPeng WeiDebu TripathyJennifer K. LittonVicente ValeroLei HuoKelly K. HuntAnil KorkutAlastair ThompsonWei YangClinton YamGaiane M. RauchJingfei Ma

deep learning modelsdeep learningneoadjuvant systemic therapypretreatment mriclinicopathological datatriple-negative breast cancerbreast cancer

Early On-Treatment (On-Rx) Tumor Volume Reduction (Tvr) to Predict Response to the Keynote-522 (Kn-522) Regimen in Early Stage Triple Negative Breast Cancer (Tnbc).. Journal of Clinical Oncology (2025)

breast oncologytumor volume reductionradiation oncologyradiologycancer imagingcancer discoveryjama oncologycancer treatmentearly on-treatmentoncologybreast cancer

Early Tumor Volume Reduction by Breast Dce Mri Predicts Pathologic Complete Response to Neoadjuvant Therapy in Triple Negative Breast Cancer. npj Breast Cancer (2025)

breast oncologypathologymri-guided radiation therapypathologic complete responsemedical imagingsurgical oncologybreast dce mriradiologycancer imagingoncologic imagingneoadjuvant therapybreast imagingoncologybreast cancer

Imaging- and Tumor Biomarker–Based Multivariable Model for Early Prediction of Pathologic Complete Response to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer. JCO Precision Oncology (2025)

breast oncologyradiation oncologyprognostic biomarkersmolecular imagingearly predictionradiologycancer imagingoncologic imagingcancer discoverymultivariable modeltriple-negative breast cancerbreast imagingoncologybreast cancer

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Miral Mahesh Patel, M.D.

Associate Professor

The University of Texas MD Anderson Cancer Center

Affiliations

Department Of Breast Imaging

Miral Mahesh Patel, M.d. is currently serving as a Breast Imaging Associate Professor at The University of Texas Md Anderson Cancer Center.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

Miral Mahesh Patel, M.D.

The University of Texas MD Anderson Cancer Center

Associate Professor

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Abstract 3744: Peripheral Immune Indices Predict Pathologic Complete Response and Residual Cancer Burden in Inflammatory Breast Cancers. Cancer Research (2026)

breast oncologypathologyprognostic biomarkersimmunologyabstract 3744cancer discoveryperipheral immune indicesresidual cancer burdencancer cellsoncologybreast cancer

Abstract Ct012: A Phase 2 Single-Arm Open-Label Trial Evaluating Zanidatamab in Patients With Early Stage Her2 Positive Breast Cancer: The Neozanher Study. Cancer Research (2026)

breast oncologyoncogenesradiation oncologycancer careneozanher studyphase 2molecular cancerabstract ct012cancer discoverymedicinepharmacotherapycancer treatmentclinical trialsoncologybreast cancer

positron emission tomographymedical imagingdiagnosisradiologycancer imagingoncologic imagingbreast imagingoncologybreast cancer

Abstract P4-05-23: Quantitative Diffusion Weighted Imaging for Predicting Response to Neoadjuvant Therapy in Patients With Inflammatory Breast Cancer. Clinical Cancer Research (2025)

Abstract P4-06-07: The Impact of a Multidisciplinary Quality Assurance Conference on the Management of Inflammatory Breast Cancer. Clinical Cancer Research (2025)

breast oncologyradiation oncologyabstract p4-06-07inflammatory breast cancermedicinecancer managementcancer lettercancer careoncologybreast cancer

Aso Visual Abstract: Trends in Atypical Ductal Hyperplasia Diagnosis and Upgrade—a Twenty-Year Experience and Impact of Mri Use on Upgrade Rates. Annals of Surgical Oncology (2025)

surgerydiagnostic neuroradiologymedical imagingfunctional imagingdiagnosissurgical pathologyradiologyupgrade ratesneuroradiologymri useneuroimagingaso visual abstract

Deep Learning Models Based on Pretreatment Mri and Clinicopathological Data to Predict Responses to Neoadjuvant Systemic Therapy in Triple-Negative Breast Cancer. Cancers (2025)

deep learning modelsdeep learningneoadjuvant systemic therapypretreatment mriclinicopathological datatriple-negative breast cancerbreast cancer

breast oncologytumor volume reductionradiation oncologyradiologycancer imagingcancer discoveryjama oncologycancer treatmentearly on-treatmentoncologybreast cancer

Early Tumor Volume Reduction by Breast Dce Mri Predicts Pathologic Complete Response to Neoadjuvant Therapy in Triple Negative Breast Cancer. npj Breast Cancer (2025)

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