Physician’s Profile

Richard S. Ha, MD

Department of Radiology
Division of Breast Imaging
Director of Education and Research, Breast Imaging Section
Introduction:

Dr. Richard Ha is an Associate Professor of Radiology and currently serves as the Director of Education and Research in breast imaging at Columbia University Medical Center. His area of active breast cancer research is in clinical application of artificial intelligence, breast MRI and new innovative techniques. Dr. Ha's research is supported by numerous grants including from the NIH and RSNA.  He completed his fellowship in Body and Breast Imaging at Memorial Sloan Kettering Cancer Center following residency at Mount Sinai Hospital and University Washington School of Medicine. 

Board Certificates
Diagnostic Radiology
Areas of Expertise:
  • Breast Cancer
  • Radiology - Diagnostic
Honors & Awards:

Columbia University Velocity Grant Fellow (2019 -2020)

Society for Imaging Informatics in Medicine (SIIM) meeting, Best Scientific Paper Award (2018).

Society for Imaging Informatics in Medicine (SIIM) meeting , Roger A. Bauman, MD Award (2018, Mentor).

American Society of Breast Surgeons.  Top12 Poster Award (2018).

Radiological Society of North America, Research Scholar Grant Recipient (2016-2018)

Radiological Society of North America, Research Travel Grants for two presentations (2017, mentor)

Columbia University Medical Center, Radiology Residency, Research Mentor of the Year (2016).

American Roentgen Ray Society, Magna Cum Laude Award for Excellence in Scientific Research (2016, mentor)

Radiological Society of North America, Research Travel Grant (2016, mentor)

New York Breast Imaging Society, President 2015-2016

Radiological Society of North America Trainee Research Prize (2014, mentor). 

New York Breast Imaging Society, Treasurer 2014-2015

American Roentgen Ray Society President’s Award, Residents in Radiology Executive Council (2014, mentor). 

American Roentgen Ray Society Clinician Educator Development Program Grant Recipient (2013).

Publications:

West E, Mutasa S, Zhu Z, Ha R*. Global Trend in Artificial Intelligence based Research in Radiology from 2000-2018. AJR Am J Roentgenol. 1-3. 10.2214/AJR.19.21346.

Ha R*, Mutasa S, Pascual Van Sant E, Karcich J, Chin C, Liu MZ, Jambawalikar S. Diagnostic Accuracy of Distinguishing Atypical Ductal Hyperplasia from Ductal Carcinoma in Situ: Convolutional Neural Network Based Machine Learning Approach Using Mammographic Image Data. AJR Am J Roentgenol. 2019 Mar 12:1-6. doi: 10.2214/AJR.18.20250.

Mango V, Goel A, Mema E, Kwak E, Ha R*. Breast MRI Screening for Average Risk Women: A Monte Carlo Simulation Cost Benefit Analysis. J Magn Reson Imaging. 2019 Jan 11. doi: 10.1002/jmri.26334.

Altoe M, Marone  A, Kim H, Kalinsky K, Hershman D, Hielscher A, Ha R*. Diffuse optical tomography of the breast: a potential modifiable biomarker of breast cancer risk with neoadjuvant Chemotherapy. Biomedical Optics Express 10(8) 4305-4315.

Mojahed D, Ha RS, Chang P, Gan Y, Yao X, Angelini B, Hibshoosh H, Taback B, Hendon CP.

Fully Automated Postlumpectomy Breast Margin Assessment Utilizing Convolutional Neural Network Based Optical Coherence Tomography Image Classification Method. Acad Radiol. 2019 Jul 17. pii: S1076-6332(19)30324-1.

Patel S, Desai NC, Goodman S, Mango V, Ha R*. Should We Screen Oncotype DX Eligible Patients with Breast MRI? Curr Probl Diagn Radiol. 2019 Jun 12. pii: S0363-0188(19)30022-2.

Mutasa S, Gupta N, Karcich J, Pascual Van Sant E, Nemer J, Sun M, Liu MZ, Chang P, Jambawalikar S, Ha R*.  Predicting Breast Cancer Molecular Subtype with MRI Dataset Utilizing Convolutional Neural Network Algorithm.  J Digit Imaging. 2019 Apr;32(2):276-282.

Friedlander L, Ha R*. Insights into Innovative Breast Imaging Techniques. Clin Imaging. In press.

Chin, C; Consul, N; Jadeja, P; Kwak, E; Patel, S; Wynn, R; Hershman, D; Connolly, E, Ha, R*. Does the Utility of Preoperative MRI for IORT Patient Selection Depend on Which Consensus Guideline is Used? Breast J. 2019 Jan;25(1):160-162

Chin C, Hirji S, Onishi M, Ha R, Taback B, Feldman S, Horowitz D, Connolly E. Accelerated partial breast irradiation with IORT in the management of DCIS: a single-institution experience in patient selection and treatment outcomes. Adv Radiat Oncol. 2018 Nov 20;4(2):253-260.

Ha R*, Chin C, Karcich J, Liu MZ, Chang P, Mutasa S, Pascual Van Sant E, Wynn RT, Connolly E, Jambawalikar S.  Prior to Initiation of Chemotherapy, Can We Predict Breast Tumor Response? Deep Learning Convolutional Neural Networks Approach Using a Breast MRI Tumor Dataset.

J Digit Imaging. 2018 Oct 25. doi: 10.1007/s10278-018-0144-1.

Ha R*, Chang P, Karcich J, Mutasa S, Liu M, Goodman S, Blum E, Wynn R, Kalinsky K, Jambawalikar S.  Deep learning through convolution neural networks using breast MRI tumor dataset can predict Oncotype Dx Recurrence Score. J Magn Reson Imaging. 2018 Aug 21. doi: 10.1002/jmri.26244.

Ha R*, Chang P, Mema E, Karcich J, Mutasa S, Taback B, Liu M, Wynn R, Jambawalikar S. Fully automated convolutional neural network method for quantification of breast MRI fibroglandular tissue and background parenchymal enhancement. J Digit Imaging. 2018 Aug 3. doi: 10.1007/s10278-018-0114-7

Ha R*, Karcich J, Chang P, , Mutasa S, Liu M, Wynn R, Jambawalikar S.  Novel convolutional neural network based breast cancer risk stratification using mammographic dataset.  Acad Radiol. 2018 Jul 31. pii: S1076-6332(18)30334-9.

Ha R*, Chang P, Karcich J, Mutasa S, Van Sant EP, Connolly E, Chin C, Taback B, Liu M, Jambawalikar S. Predicting Post Neoadjuvant Axillary Response Using A Novel Convolutional Neural Network Algorithm. Ann Surg Oncol. 2018 Jul 5. doi: 10.1245/s10434-018-6613-4

Ha R*, Chang P, Karcich J, Mutasa S, Liu M, Fardanesh R, Wynn R, Jambawalikar S. Axillary Lymph Node Evaluation Utilizing Convolutional Neural Networks using MRI dataset. J Digit Imaging. 2018 Apr 25. doi: 10.1007/s10278-018-0086-7.

Patel G, Pascual E, Taback B, Ha R*.  Patient Selection for DCIS Observation Trials (COMET & LORIS), Are They Truly Low Risk? AJR Am J Roentgenol. 2018 Jul 17:1-2. doi: 10.2214/AJR.17.19244

May M, Chin, C, Hirij S, Horowitz D, Bansil H, Feldman S, Ha R, Connolly EP.  Comparing preoperative imaging modalities in patient selection for breast intraoperative radiotherapy. J Surg Oncol. 2018 Sep 27. doi: 10.1002/jso.25235

Mango V, D’Allesio D, Ha R, Morris E, Jochelson M. Stereotactic Breast Biopsy Efficiency: Does a pre-biopsy grid image help?  Clinical Imaging. 2019 Jan - Feb;53:108-111.

Mema E, Mango V, Friedlander L, Desperito E, Wynn R, Ha R*. Evaluation of association between degree of background parenchymal enhancement on MRI and breast cancer subtype. Clin Imaging. 2018 May 5;51:307-310

Goodman S, Mango V, Desperito E, Wynn, Ha R*.  Are mammographically occult additional tumors identified more than 2 cm away from the primary breast cancer on MRI clinically significant? Acad Radiol. 2018 Jun 8. pii: S1076-6332(18)30248-4.

Taback, B, Jadeja, P, Ha, R*. Enhanced Axillary Evaluation Using Reflector Guided Sentinel Lymph Node Biopsy. Clinical Breast Cancer. 2018 Feb 12. pii: S1526-8209(17)30843-1.

Mema E, Cho E, Ryu Y, Jedeja P, Desperito E, Taback E, Ha R*. In the setting of negative mammogram, is additional breast ultrasound necessary for evaluation of breast pain? Curr Probl Diagn Radiol. 2018 Jan 9. pii: S0363-0188(17)30215-3.

Patel SN, Mango VL, Jadeja P, Friedlander L, Desperito E, Wynn R, Feldman S, Ha R*. Reflector-guided breast tumor localization versus wire localization for lumpectomies: A comparison of surgical outcomes. Clin Imaging. 2018 Jan - Feb;47: 14-17.

Ha R*, Friedlander LC, Hibshoosh H, Hendon C, Feldman S, Ahn S, Schmidt H, Akens MK, Fitzmaurice M, Wilson BC, Mango VL. Optical Coherence Tomography: A Novel Imaging Method for Post-lumpectomy Breast Margin Assessment-A Multi-reader Study. Acad Radiol. 2017 Nov 23. pii: S1076-6332(17)30411-7.

Chin C, Jadeja P, Ha R, Connolly E. Evaluation of Partial Breast Reirradiation with IORT for Locally Recurrent Breast Cancer: A Single-Institution Report of Outcomes and Toxicity. International Journal of Radiation Oncology, Biology, Physics, Vol. 99, Issue 2, E8

Jadeja PH, Mango V, Patel S, Friedlander L, Desperito E, Ayala-Bustamante E, Wynn R, Chen-Seetoo M, Taback B, Feldman S, Ha R*.  Utilization of multiple SAVI SCOUT surgical guidance system reflectors in the same breast: A single-institution feasibility study. Breast J. 2017 Dec 18.

Mango V, Goodman S, Clarkin K, Wynn, Friedlander L, Hibshoosh H, Ha R*. The unusual suspects: A review of unusual benign and malignant male breast imaging cases. Clin Imaging, Volume 50, July–August 2018, Pages 78–85

Chin C, Jadeja P, Consul E, Kwak, Patel S, Wynn R, Feldman S, Connolly E, Ha R*. Utility of Preoperative Breast MRI in Patient Selection for Accelerated Partial Breast Irradiation by Different Consensus Guidelines. International Journal of Radiation Oncology, Biology, Physics, Vol. 99, Issue 2, E8.

Cheang E, Ha R, Thornton CM, Mango VL. Innovations in image guided preoperative breast lesion localization. Br J Radiol. 2017 Dec 22:20170740.

Jadeja P, Ha R, Rohde C, Ascherman J, Grant R, Chin C, Connolly E, Kalinsky K, Feldman S, Taback B. Expanding the Criteria for Nipple-Sparing Mastectomy in Patients With Poor Prognostic Features. Clin Breast Cancer. 2017 Aug 24.

Mango VL, Wynn RT, Feldman S, Friedlander L, Desperito E, Patel SN, Gomberawalla A, Ha R*.  Beyond Wires and Seeds: Reflector-guided Breast Lesion Localization and Excision. Radiology. 2017 Aug;284(2):365-371.

Mema E, Mango VL, Guo X, Karcich J, Yeh R, Wynn RT, Zhao B, Ha R*.  Does breast MRI background parenchymal enhancement indicate metabolic activity? Qualitative and 3D quantitative computer imaging analysis. J Magn Reson Imaging. 2017 Jun 24.

Chin C, Jadeja P, Taback B, Horowitz DP, Feldman SM, Ha R, Connolly EP. Evaluation of Partial Breast Reirradiation with Intraoperative Radiotherapy after Prior Thoracic Radiation: A Single-Institution Report of Outcomes and Toxicity. Front Oncol. 2017 Aug 28;7:175.

Mema E, Cho E, Ha R, Taback B. Cystic metastatic lymph nodes in malignant melanoma: a case report. Clin Imaging. 2017 Mar - Apr;42:158-160.

Ha R*, Mema E, Guo X, Mango V, Desperito E, Ha J, Wynn R, Zhao B. Three-Dimensional Quantitative Validation of Breast Magnetic Resonance Imaging Background Parenchymal Enhancement Assessments. Curr Probl Diagn Radiol. 2016 Sep-Oct;45(5):297-303.

Mango VL, Ha R, Nguyen B, Mema E, Kobeski J, Singh T, Khandelwal N. RAD-AID Asha Jyoti Mammogram Quality Assessment in India: Optimizing Mobile Radiology. J Am Coll Radiol. 2016 Jul;13(7):831-4.

Anthony MP, Nguyen D, Friedlander L, Mango V, Wynn R, Ha R*.  Artifacts in Breast Magnetic Resonance Imaging. Curr Probl Diagn Radiol. 2016 Jul-Aug;45(4):271-7.

Mango V, Ha R, Gomberawalla A, Wynn R, Feldman S. Evaluation of the SAVI SCOUT Surgical Guidance System for Localization and Excision of Nonpalpable Breast Lesions: A Feasibility Study. AJR Am J Roentgenol. 2016 Jun 15:W1-W4.

Ha R*, Mema E, Guo X, Mango V, Desperito E, Ha J, Wynn R, Zhao B. Quantitative 3D breast magnetic resonance imaging fibroglandular tissue analysis and correlation with qualitative assessments: a feasibility study. Quant Imaging Med Surg. 2016 Apr;6(2):144-50.

Al-Khalili R, Wynn RT, Ha R*.  . The Contact Zone: A Common Site of Tumor Recurrence in a Patient Who Underwent Skin-Sparing Mastectomy and Myocutaneous Flap Reconstruction. Curr Probl Diagn Radiol. 2016 May-Jun;45(3):233-4.

Choi J, Ha R, Wynn R. Nephrogenic Systemic Fibrosis on Mammography. Curr Probl Diagn Radiol. 2015 Nov-Dec;44(6):517-20.

Ha R*, Chow D, Mango V, Friedlander L, Desperito E, Wynn R. Have We Given Up on Breast Cancer Metastasis? Global Trends in Breast Cancer Metastasis Research Productivity. Breast J. 2015 Jul-Aug;21(4):442-4.

Ha R*, Jin B, Mango V, Friedlander L, Miloshev V, Malak S, Wynn R. Breast cancer molecular subtype as a predictor of the utility of preoperative MRI. AJR Am J Roentgenol. 2015 Jun;204(6):1354-60.

Ha R*, Chow D, Mango V, Friedlander L, Wynn R. Bridging the racial gap. National trend in african-american women breast cancer research productivity from 1992 to 2012. Breast J. 2015 May-Jun;21(3):324-5.

Ha R*, Kim H, Mango V, Wynn R, Comstock C. Ultrasonographic features and clinical implications of benign palpable breast lesions in young women. Ultrasonography. 2015 Jan;34(1):66-70.

Ha R*, Comstock CE. Breast magnetic resonance imaging: management of an enhancing focus. Radiol