Scholars@Duke
Kirti Magudia

Kirti Magudia

Assistant Professor in the Department of Radiology
Radiology, Abdominal Imaging
kirti.magudia@duke.edu
Department of Radiology, DUMC 3808, Durham, NC 27710
Department of Radiology, 3808 DUMC, Durham, NC 27710

Selected Publications

RSNA 2023 Abdominal Trauma AI Challenge Review and Outcomes Analysis.

Journal Article Radiol Artif Intell · November 6, 2024 "Just Accepted" papers have undergone full peer review and have been accepted for publication in Radiology: Artificial Intelligence. This article will undergo copyediting, layout, and proof review before it is published in its final version. Please note th ... Full text Link to item Cite

The RSNA Abdominal Traumatic Injury CT (RATIC) Dataset.

Journal Article Radiology. Artificial intelligence · November 2024 Supplemental material is available for this article. ... Full text Cite

Mixed Supervision of Histopathology Improves Prostate Cancer Classification From MRI.

Journal Article IEEE Trans Med Imaging · July 2024 Non-invasive prostate cancer classification from MRI has the potential to revolutionize patient care by providing early detection of clinically significant disease, but has thus far shown limited positive predictive value. To address this, we present a ima ... Full text Link to item Cite

A Practical Guide for Paid Family and Medical Leave in Radiology, From the AJR Special Series on DEI.

Journal Article AJR Am J Roentgenol · November 2023 Paid family and medical leave (FML) has significant benefits to organizations, including improvements in employee recruitment and retention, workplace culture, and employee morale and productivity, and is supported by evidence for overall cost savings. Fur ... Full text Link to item Cite

Federated Learning with Research Prototypes: Application to Multi-Center MRI-based Detection of Prostate Cancer with Diverse Histopathology.

Journal Article Acad Radiol · April 2023 RATIONALE AND OBJECTIVES: Early prostate cancer detection and staging from MRI is extremely challenging for both radiologists and deep learning algorithms, but the potential to learn from large and diverse datasets remains a promising avenue to increase th ... Full text Link to item Cite

American College of Radiology Paid Family/Medical Leave Policy: A Call to Action for the House of Medicine.

Journal Article J Womens Health (Larchmt) · March 2023 The American College of Radiology (ACR) passed a historic paid family/medical leave (PFML) resolution at its April 2022 meeting, resolving that "diagnostic radiology, interventional radiology, radiation oncology, medical physics, and nuclear medicine pract ... Full text Link to item Cite

Utility of Normalized Body Composition Areas, Derived From Outpatient Abdominal CT Using a Fully Automated Deep Learning Method, for Predicting Subsequent Cardiovascular Events.

Journal Article AJR Am J Roentgenol · February 2023 BACKGROUND. CT-based body composition (BC) measurements have historically been too resource intensive to analyze for widespread use and have lacked robust comparison with traditional weight metrics for predicting cardiovascular risk. OBJECTIVE. The aim of ... Full text Link to item Cite

How to implement paid family and medical leave: A toolkit for practices.

Journal Article Clin Imaging · November 2022 Paid family and medical leave policies are increasingly popular in today's competitive labor market and provide well-documented advantages to all stakeholders. Implementing paid leave for radiologists can seem daunting due to overlapping legal and institut ... Full text Link to item Cite

US lesion visibility predicts clinically significant upgrade of prostate cancer by systematic biopsy.

Journal Article Abdom Radiol (NY) · March 2022 PURPOSE: To identify predictors of when systematic biopsy leads to a higher overall prostate cancer grade compared to targeted biopsy. METHODS AND MATERIALS: 918 consecutive patients who underwent prostate MRI followed by MRI/US fusion biopsy and systemati ... Full text Link to item Cite

The SCARD Fellowship Policy and the Abdominal Imaging Fellowship: A Follow-up Survey After the First Year.

Journal Article Acad Radiol · February 2022 RATIONALE AND OBJECTIVES: To assess resident and fellowship program director (PD) perceptions of the abdominal radiology fellowship application process following the first cycle in which an embargo on interviews until December 1, 2019 was set according to ... Full text Link to item Cite

A Fully Automated Deep Learning Pipeline for Multi-Vertebral Level Quantification and Characterization of Muscle and Adipose Tissue on Chest CT Scans.

Journal Article Radiol Artif Intell · January 2022 Body composition on chest CT scans encompasses a set of important imaging biomarkers. This study developed and validated a fully automated analysis pipeline for multi-vertebral level assessment of muscle and adipose tissue on routine chest CT scans. This s ... Full text Link to item Cite

Past, present, and future of abdominal radiology fellowship recruitment.

Journal Article Abdom Radiol (NY) · December 2021 The authors provide a commentary on the current status of the Abdominal Radiology Fellowship recruitment process, which is not presently governed by a formal Match. Abdominal Radiology is the largest radiology subspecialty fellowship that remains outside o ... Full text Link to item Cite

The Trials and Tribulations of Assembling Large Medical Imaging Datasets for Machine Learning Applications.

Journal Article J Digit Imaging · December 2021 With vast interest in machine learning applications, more investigators are proposing to assemble large datasets for machine learning applications. We aim to delineate multiple possible roadblocks to exam retrieval that may present themselves and lead to s ... Full text Link to item Cite

Medical Specialty Board Parental, Caregiver, and Medical Leave Policy Updates After 2021 American Board of Medical Specialties Mandate.

Journal Article JAMA · November 9, 2021 This study assesses how member boards of the American Board of Medical Specialties (ABMS) have adhered to a 2021 ABMS policy change allowing residents a minimum of 6 weeks of parental, caregiver, and medical leave. ... Full text Link to item Cite

Imaging AI in Practice: A Demonstration of Future Workflow Using Integration Standards.

Journal Article Radiol Artif Intell · November 2021 Artificial intelligence (AI) tools are rapidly being developed for radiology and other clinical areas. These tools have the potential to dramatically change clinical practice; however, for these tools to be usable and function as intended, they must be int ... Full text Link to item Cite

A Conference-Friendly, Hands-on Introduction to Deep Learning for Radiology Trainees.

Journal Article J Digit Imaging · August 2021 Artificial or augmented intelligence, machine learning, and deep learning will be an increasingly important part of clinical practice for the next generation of radiologists. It is therefore critical that radiology residents develop a practical understandi ... Full text Link to item Cite

Population-Scale CT-based Body Composition Analysis of a Large Outpatient Population Using Deep Learning to Derive Age-, Sex-, and Race-specific Reference Curves.

Journal Article Radiology · February 2021 Background Although CT-based body composition (BC) metrics may inform disease risk and outcomes, obtaining these metrics has been too resource intensive for large-scale use. Thus, population-wide distributions of BC remain uncertain. Purpose To demonstrate ... Full text Link to item Cite

Preparing Radiologists to Lead in the Era of Artificial Intelligence: Designing and Implementing a Focused Data Science Pathway for Senior Radiology Residents.

Journal Article Radiol Artif Intell · November 2020 Artificial intelligence and machine learning (AI-ML) have taken center stage in medical imaging. To develop as leaders in AI-ML, radiology residents may seek a formative data science experience. The authors piloted an elective Data Science Pathway (DSP) fo ... Full text Link to item Cite

Prospects of a Fellowship Match for Abdominal Imaging: A National Survey by the Society of Abdominal Radiology.

Journal Article J Am Coll Radiol · June 2020 PURPOSE: After the Society of Chairs of Academic Radiology Departments timeline and guidelines were released for the 2021 through 2022 fellowship application cycle, the Society of Abdominal Radiology conducted a survey of residents, fellows, and abdominal ... Full text Link to item Cite