Clinical Focus


  • Diagnostic Radiology

Academic Appointments


  • Clinical Assistant Professor, Radiology

Professional Education


  • Medical Education: University of Minnesota School of Medicine (2014) MN
  • Board Certification: American Board of Radiology, Diagnostic Radiology (2021)
  • Fellowship: Stanford University Radiology Fellowships (2020) CA
  • Residency: University of Minnesota (2019) MN
  • Internship: Hennepin County Medical Center (2015) MN

All Publications


  • Editorial for "4D Flow Cardiac MR in Primary Mitral Regurgitation". Journal of magnetic resonance imaging : JMRI Ma, L., Pogatchnik, B. 2024

    View details for DOI 10.1002/jmri.29356

    View details for PubMedID 38485209

  • Computed Tomography Planning for Transcatheter Tricuspid Valve Interventions. Seminars in roentgenology Yang, I. Y., Pogatchnik, B. P. 2024; 59 (1): 87-102

    View details for DOI 10.1053/j.ro.2023.11.001

    View details for PubMedID 38388101

  • Percutaneous Treatment of an Aorto-Right Ventricular Fistula FollowingBalloon-Expandable Transcatheter Aortic Valve Replacement. JACC. Case reports Dowling, C., Haeffele, C., Pogatchnik, B. P., Sharma, R. P. 2023; 18: 101906

    Abstract

    We present the case of a 71-year-old man who experienced congestive cardiac failure after transcatheter aortic valve replacement with a balloon-expandable transcatheter heart valve. Echocardiography and cardiac computed tomography demonstrated an aorto-right ventricular fistula, and successful percutaneous closure was performed with a vascular plug. (Level of Difficulty: Advanced.).

    View details for DOI 10.1016/j.jaccas.2023.101906

    View details for PubMedID 37545680

  • Immediate and Follow-up Imaging Findings after Cone-Beam CT-guided Transbronchial Lung Cryobiopsy. Radiology. Cardiothoracic imaging Pogatchnik, B. P., Swenson, K. E., Duong, D. K., Shaller, B., Bedi, H., Guo, H. H. 2023; 5 (2): e220149

    Abstract

    To evaluate findings after transbronchial lung cryobiopsy (TBLC) using intraprocedural cone-beam CT (CBCT) and follow-up chest CT examinations.A single-center, prospective cohort study was performed with 14 participants (mean age, 65 years ┬▒ 13 [SD]; eight male participants) undergoing CBCT-guided TBLC between August 2020 and February 2021 who underwent follow-up chest CT imaging. Intraprocedural CBCT and follow-up chest CT images were interpreted for changes compared with baseline CT images. Statistical analyses were performed using independent samples t test and analysis of variance.A total of 62 biopsies were performed, with 48 in the field of view of CBCT immediately after biopsy. All 48 biopsy sites had evidence of postprocedural hemorrhage, and 17 (35%) had pneumatoceles at the biopsy site. Follow-up CT images showed resolution of these findings. Solid nodules developed at 18 of the 62 (29%) biopsy sites.Postbiopsy hemorrhage and pneumatoceles on intraprocedural CBCT images (which were clinically occult and resolved spontaneously) and new solid nodules on follow-up chest CT images were commonly observed after TBLC. These findings may help alleviate unnecessary follow-up imaging and tissue sampling.Keywords: Biopsy/Needle Aspiration, CT, Lungs, Lung Biopsy, Interventional Bronchoscopy┬ę RSNA, 2023.

    View details for DOI 10.1148/ryct.220149

    View details for PubMedID 37124647

    View details for PubMedCentralID PMC10141444

  • Lung abscess and empyema in a heart transplant recipient from Thailand. Transplant infectious disease : an official journal of the Transplantation Society Bruminhent, J., Lopez-Medrano, F., Pogatchnik, B. P., Nascimento, E., Namsiripongpan, W., Yingchoncharoen, T., Ngodngamthaweesuk, M., Sukprapruet, A., Naratreekoon, B., Rodriguez-Goncer, I., Hernandez, A., Polanco, N., Aguado, J. M., Pouch, S., Clemente, W. T. 2022

    Abstract

    The case discussed involves a 69-year-old Thai woman who underwent orthotopic heart transplantation nine months before this event. She presented with fever without localizing signs or symptoms. However, her chest images revealed mass-like consolidation in the left upper lobe. Blood culture and lung tissue identifiedRhodococcus equi.She was successfully treated with a combination of antimicrobial therapy, optimization of immunosuppressants, and surgical resection. This article is protected by copyright. All rights reserved.

    View details for DOI 10.1111/tid.13984

    View details for PubMedID 36305598

  • Update on CT Imaging of Left Ventricular Assist Devices and Associated Complications CURRENT CARDIOVASCULAR IMAGING REPORTS Velangi, P. S., Agdamag, A. C., Nijjar, P. S., Pogatchnik, B., Nijjar, P. S. 2022
  • The RSNA International COVID-19 Open Annotated Radiology Database (RICORD). Radiology Tsai, E. B., Simpson, S., Lungren, M., Hershman, M., Roshkovan, L., Colak, E., Erickson, B. J., Shih, G., Stein, A., Kalpathy-Cramer, J., Shen, J., Hafez, M., John, S., Rajiah, P., Pogatchnik, B. P., Mongan, J., Altinmakas, E., Ranschaert, E. R., Kitamura, F. C., Topff, L., Moy, L., Kanne, J. P., Wu, C. C. 2021: 203957

    Abstract

    The coronavirus disease 2019 (COVID-19) pandemic is a global healthcare emergency. Although reverse transcriptase polymerase chain reaction (RT-PCR) is the reference standard method to identify patients with COVID-19 infection, chest radiographs and CT chest play a vital role in the detection and management of these patients. Prediction models for COVID-19 imaging are rapidly being developed to support medical decision making. However, inadequate availability of a diverse annotated dataset has limited the performance and generalizability of existing models. To address this unmet need, the RSNA and Society of Thoracic Radiology (STR) collaborated to develop the RSNA International COVID-19 Open Radiology Database (RICORD). This database is the first multi-institutional, multi-national expert annotated COVID-19 imaging dataset. It is made freely available to the machine learning community as a research and educational resource for COVID-19 chest imaging. Pixel-level volumetric segmentation with clinical annotations were performed by thoracic radiology subspecialists for all COVID positive thoracic CTs. The labeling schema was coordinated with other international consensus panels and COVID data annotation efforts, European Society of Medical Imaging Informatics (EUSOMII), the American College of Radiology (ACR) and the American Association of Physicists in Medicine (AAPM). Study level COVID classification labels for chest radiographs were annotated by three radiologists with majority vote adjudication by board certified radiologists. RICORD consists of 240 thoracic CT scans and 1,000 chest radiographs contributed from four international sites. We anticipate that the RICORD database will ideally lead to prediction models that can demonstrate sustained performance across populations and healthcare systems. See also the editorial by Bai and Thomasian.

    View details for DOI 10.1148/radiol.2021203957

    View details for PubMedID 33399506

  • Observational Supervision for Medical Image Classification Using Gaze Data Saab, K., Hooper, S. M., Sohoni, N. S., Parmar, J., Pogatchnik, B., Wu, S., Dunnmon, J. A., Zhang, H. R., Rubin, D., Re, C., DeBruijne, M., Cattin, P. C., Cotin, S., Padoy, N., Speidel, S., Zheng, Y., Essert, C. SPRINGER INTERNATIONAL PUBLISHING AG. 2021: 603-614
  • Dramatic Case of Paradoxical Embolism. Radiology. Cardiothoracic imaging Pogatchnik, B. P., Fleischmann, D. 2020; 2 (4): e200360

    View details for DOI 10.1148/ryct.2020200360

    View details for PubMedID 33778615

  • Radiology-pathology Correlation in Recovered COVID-19, Demonstrating Organizing Pneumonia. American journal of respiratory and critical care medicine Pogatchnik, B. P., Swenson, K. E., Sharifi, H. n., Bedi, H. n., Berry, G. J., Guo, H. H. 2020

    View details for DOI 10.1164/rccm.202004-1278IM

    View details for PubMedID 32609531