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Dive into the research topics where Stefan L. Zimmerman is active.

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Featured researches published by Stefan L. Zimmerman.


Radiographics | 2011

RADIANCE: An automated, enterprise-wide solution for archiving and reporting CT radiation dose estimates.

Tessa S. Cook; Stefan L. Zimmerman; Andrew D. A. Maidment; Woojin Kim; William W. Boonn

There is growing interest in the ability to monitor, track, and report exposure to radiation from medical imaging. Historically, however, dose information has been stored on an image-based dose sheet, an arrangement that precludes widespread indexing. Although scanner manufacturers are beginning to include dose-related parameters in the Digital Imaging and Communications in Medicine (DICOM) headers of imaging studies, there remains a vast repository of retrospective computed tomographic (CT) data with image-based dose sheets. Consequently, it is difficult for imaging centers to monitor their dose estimates or participate in the American College of Radiology (ACR) Dose Index Registry. An automated extraction software pipeline known as Radiation Dose Intelligent Analytics for CT Examinations (RADIANCE) has been designed that quickly and accurately parses CT dose sheets to extract and archive dose-related parameters. Optical character recognition of information in the dose sheet leads to creation of a text file, which along with the DICOM study header is parsed to extract dose-related data. The data are then stored in a relational database that can be queried for dose monitoring and report creation. RADIANCE allows efficient dose analysis of CT examinations and more effective education of technologists, radiologists, and referring physicians regarding patient exposure to radiation at CT. RADIANCE also allows compliance with the ACRs dose reporting guidelines and greater awareness of patient radiation dose, ultimately resulting in improved patient care and treatment.


Radiographics | 2014

Myocardial T1 Mapping: Techniques and Potential Applications

Jeremy R. Burt; Stefan L. Zimmerman; Ihab R. Kamel; Marc K. Halushka; David A. Bluemke

Myocardial fibrosis is a common endpoint in a variety of cardiac diseases and a major independent predictor of adverse cardiac outcomes. Short of histopathologic analysis, which is limited by sampling bias, most diagnostic modalities are limited in their depiction of myocardial fibrosis. Cardiac magnetic resonance (MR) imaging has the advantage of providing detailed soft-tissue characterization, and a variety of novel quantification methods have further improved its usefulness. Contrast material-enhanced cardiac MR imaging depends on differences in signal intensity between regions of scarring and adjacent normal myocardium. Diffuse myocardial fibrosis lacks these differences in signal intensity. Measurement of myocardial T1 times (T1 mapping) with gadolinium-enhanced inversion recovery-prepared sequences may depict diffuse myocardial fibrosis and has good correlation with ex vivo fibrosis content. T1 mapping calculates myocardial T1 relaxation times with image-based signal intensities and may be performed with standard cardiac MR imagers and radiologic workstations. Myocardium with diffuse fibrosis has greater retention of contrast material, resulting in T1 times that are shorter than those in normal myocardium. Early studies have suggested that diffuse myocardial fibrosis may be distinguished from normal myocardium with T1 mapping. Large multicenter studies are needed to define the role of T1 mapping in developing prognoses and therapeutic assessments. However, given its strengths as a noninvasive method for direct quantification of myocardial fibrosis, T1 mapping may eventually play an important role in the management of cardiac disease.


Radiographics | 2011

Informatics in Radiology: Automated Structured Reporting of Imaging Findings Using the AIM Standard and XML

Stefan L. Zimmerman; Woojin Kim; William W. Boonn

Quantitative and descriptive imaging data are a vital component of the radiology report and are frequently of paramount importance to the ordering physician. Unfortunately, current methods of recording these data in the report are both inefficient and error prone. In addition, the free-text, unstructured format of a radiology report makes aggregate analysis of data from multiple reports difficult or even impossible without manual intervention. A structured reporting work flow has been developed that allows quantitative data created at an advanced imaging workstation to be seamlessly integrated into the radiology report with minimal radiologist intervention. As an intermediary step between the workstation and the reporting software, quantitative and descriptive data are converted into an extensible markup language (XML) file in a standardized format specified by the Annotation and Image Markup (AIM) project of the National Institutes of Health Cancer Biomedical Informatics Grid. The AIM standard was created to allow image annotation data to be stored in a uniform machine-readable format. These XML files containing imaging data can also be stored on a local database for data mining and analysis. This structured work flow solution has the potential to improve radiologist efficiency, reduce errors, and facilitate storage of quantitative and descriptive imaging data for research.


Journal of The American College of Radiology | 2010

Automated Extraction of Radiation Dose Information for CT Examinations

Tessa S. Cook; Stefan L. Zimmerman; Andrew D. A. Maidment; Woojin Kim; William W. Boonn

Exposure to radiation as a result of medical imaging is currently in the spotlight, receiving attention from Congress as well as the lay press. Although scanner manufacturers are moving toward including effective dose information in the Digital Imaging and Communications in Medicine headers of imaging studies, there is a vast repository of retrospective CT data at every imaging center that stores dose information in an image-based dose sheet. As such, it is difficult for imaging centers to participate in the ACRs Dose Index Registry. The authors have designed an automated extraction system to query their PACS archive and parse CT examinations to extract the dose information stored in each dose sheet. First, an open-source optical character recognition program processes each dose sheet and converts the information to American Standard Code for Information Interchange (ASCII) text. Each text file is parsed, and radiation dose information is extracted and stored in a database which can be queried using an existing pathology and radiology enterprise search tool. Using this automated extraction pipeline, it is possible to perform dose analysis on the >800,000 CT examinations in the PACS archive and generate dose reports for all of these patients. It is also possible to more effectively educate technologists, radiologists, and referring physicians about exposure to radiation from CT by generating report cards for interpreted and performed studies. The automated extraction pipeline enables compliance with the ACRs reporting guidelines and greater awareness of radiation dose to patients, thus resulting in improved patient care and management.


The New England Journal of Medicine | 2017

Safety of Magnetic Resonance Imaging in Patients with Cardiac Devices

Saman Nazarian; Rozann Hansford; Amir Ali Rahsepar; Valeria Weltin; Diana McVeigh; Esra Gucuk Ipek; Alan Kwan; Ronald D. Berger; Hugh Calkins; Albert C. Lardo; Michael A. Kraut; Ihab R. Kamel; Stefan L. Zimmerman; Henry R. Halperin

Background Patients who have pacemakers or defibrillators are often denied the opportunity to undergo magnetic resonance imaging (MRI) because of safety concerns, unless the devices meet certain criteria specified by the Food and Drug Administration (termed “MRI‐conditional” devices). Methods We performed a prospective, nonrandomized study to assess the safety of MRI at a magnetic field strength of 1.5 Tesla in 1509 patients who had a pacemaker (58%) or an implantable cardioverter–defibrillator (42%) that was not considered to be MRI‐conditional (termed a “legacy” device). Overall, the patients underwent 2103 thoracic and nonthoracic MRI examinations that were deemed to be clinically necessary. The pacing mode was changed to asynchronous mode for pacing‐dependent patients and to demand mode for other patients. Tachyarrhythmia functions were disabled. Outcome assessments included adverse events and changes in the variables that indicate lead and generator function and interaction with surrounding tissue (device parameters). Results No long‐term clinically significant adverse events were reported. In nine MRI examinations (0.4%; 95% confidence interval, 0.2 to 0.7), the patients device reset to a backup mode. The reset was transient in eight of the nine examinations. In one case, a pacemaker with less than 1 month left of battery life reset to ventricular inhibited pacing and could not be reprogrammed; the device was subsequently replaced. The most common notable change in device parameters (>50% change from baseline) immediately after MRI was a decrease in P‐wave amplitude, which occurred in 1% of the patients. At long‐term follow‐up (results of which were available for 63% of the patients), the most common notable changes from baseline were decreases in P‐wave amplitude (in 4% of the patients), increases in atrial capture threshold (4%), increases in right ventricular capture threshold (4%), and increases in left ventricular capture threshold (3%). The observed changes in lead parameters were not clinically significant and did not require device revision or reprogramming. Conclusions We evaluated the safety of MRI, performed with the use of a prespecified safety protocol, in 1509 patients who had a legacy pacemaker or a legacy implantable cardioverter–defibrillator system. No long‐term clinically significant adverse events were reported. (Funded by Johns Hopkins University and the National Institutes of Health; ClinicalTrials.gov number, NCT01130896.)


Radiographics | 2014

Cardiac MR Findings and Potential Diagnostic Pitfalls in Patients Evaluated for Arrhythmogenic Right Ventricular Cardiomyopathy

Neda Rastegar; Jeremy R. Burt; Celia P. Corona-Villalobos; Anneline S.J.M. te Riele; Cynthia A. James; Brittney Murray; Hugh Calkins; Harikrishna Tandri; David A. Bluemke; Stefan L. Zimmerman; Ihab R. Kamel

Arrhythmogenic right ventricular cardiomyopathy (ARVC) is a familial cardiomyopathy characterized by fibrofatty replacement of the myocardium, ventricular tachycardia, and ventricular dysfunction that affects primarily the right ventricle (RV). This disease is not common but can be seen more frequently in young adults, and clinical manifestations range from no symptoms to lethal arrhythmia and sudden death. The diagnosis of ARVC is challenging and is based on the recently revised international task force criteria. Given the strengths of cardiac magnetic resonance (MR) imaging for depicting the RV, this modality plays an important role in the diagnosis of ARVC. Functional and structural abnormalities of the RV depicted with cardiac MR imaging constitute major and minor criteria in the revised task force criteria. Since the ARVC program was established at our center in 1998, there has been an increased awareness of a number of normal variants that are commonly misinterpreted as showing evidence for ARVC. On the basis of our clinical experience, the overdiagnosis of ARVC appears to reflect two fundamental problems: (a) a lack of awareness of diagnostic criteria that identify major and minor variables to be used for the diagnosis of ARVC, and (b) a lack of familiarity with the normal variants and mimics that may be misinterpreted as showing evidence of ARVC. The purpose of this article is to review the typical patterns of ventricular involvement in ARVC at cardiac MR imaging and to compare those with the patterns of normal variants and other diseases that can mimic ARVC. Online supplemental material is available for this article.


Radiographics | 2013

Role of Multidetector CT in Assessment of Repaired Tetralogy of Fallot

Sameer Ahmed; Pamela T. Johnson; Elliot K. Fishman; Stefan L. Zimmerman

The population of adults with repaired tetralogy of Fallot (TOF) is growing, thanks to improvements in the surgical and medical management of this condition. Accordingly, late postrepair complications are important medical concerns in these individuals. Initial surgical repair of TOF typically occurs in infancy, consisting of patch repair of the ventricular septal defect (VSD) and relief of right ventricular outflow tract (RVOT) obstruction. Although patients may remain asymptomatic for several decades, the majority will have progressive pulmonic regurgitation that leads to right ventricular (RV) dilatation and functional deterioration. Other frequently seen complications include branch pulmonary artery stenosis, RVOT aneurysms, and recurrent VSDs. Cardiac computed tomography (CT) is widely available and, in some cases, is the imaging modality of choice for serial evaluation of TOF patients. CT is particularly useful when magnetic resonance (MR) imaging is contraindicated (eg, in patients with implantable cardiac devices). Unlike MR imaging, cardiac CT allows excellent visualization of endovascular stents and stent-mounted valves. Retrospective electrocardiographically gated cardiac CT can be used for accurate volumetric and functional analysis of the RV. Comprehensive serial evaluation will assist in determining the need for surgical pulmonary valve repair in the setting of progressive RV dysfunction. Three-dimensional volumetric images are useful for evaluation of stent integrity and aneurysm formation. The radiologist should be familiar with the anatomy of TOF, surgical interventions for repair, and postrepair complications encountered at follow-up imaging of these patients. By extracting the breadth of information obtained with cardiac multidetector CT, the radiologist can play an essential role in the management of adult patients with repaired TOF.


Clinical Medicine Insights: Cardiology | 2014

The association of pre-existing left atrial fibrosis with clinical variables in patients referred for catheter ablation of atrial fibrillation.

Jane Dewire; Irfan M. Khurram; Farhad Pashakhanloo; David D. Spragg; Joseph E. Marine; Ronald D. Berger; Hiroshi Ashikaga; John Rickard; Stefan L. Zimmerman; Vadim Zipunnikov; Hugh Calkins; Saman Nazarian

Introduction Atrial fibrillation (AF) recurrence after ablation is associated with left atrial (LA) fibrosis on late gadolinium enhanced (LGE) magnetic resonance imaging (MRI). We sought to determine pre-ablation, clinical characteristics that associate with the extent of LA fibrosis in patients undergoing catheter ablation for AF. Methods and Results Consecutive patients presenting for catheter ablation of AF were enrolled and underwent LGE-MRI prior to initial AF ablation. The extent of fibrosis as a percentage of total LA myocardium was calculated in all patients prior to ablation. The cohort was divided into quartiles based on the percentage of fibrosis. Of 60 patients enrolled in the cohort, 13 had <5% fibrosis (Group 1), 15 had 5-7% fibrosis (Group 2), 17 had 8-13% fibrosis (Group 3), and 15 had 14-36% fibrosis (Group 4). The extent of LA fibrosis was positively associated with time in continuous AF, and the presence of persistent or longstanding persistent AF. However, no statistically significant difference was observed in the presence of comorbid conditions, age, BMI, LA volume, or family history of AF among the four groups. After adjusting for diabetes and hypertension in a multivariable linear regression model, paroxysmal AF remained independently and negatively associated with the extent of fibrosis (-4.0 ± 1.8, P = 0.034). Conclusion The extent of LA fibrosis in patients undergoing AF ablation is associated with AF type and time in continuous AF. Our results suggest that the presence and duration of AF are primary determinants of increased atrial LGE.


Radiographics | 2015

Abdominal aortic aneurysms revisited: MDCT with multiplanar reconstructions for identifying indicators of instability in the pre- and postoperative patient.

Ajay D. Wadgaonkar; James H. Black; Elizabeth Weihe; Stefan L. Zimmerman; Elliot K. Fishman; Pamela T. Johnson

Rupture of an abdominal aortic aneurysm is commonly a fatal event. Multidetector computed tomographic (CT) signs of frank aortic rupture are usually readily apparent and widely understood. However, diagnosing an impending aortic rupture on the basis of imaging findings can prove more difficult. CT is the primary modality used for serial imaging in patients with aortic aneurysm and may show findings indicative of aortic instability. Therefore, it is critical that radiologists be familiar with the CT findings of aortic instability to avert the potential complications of hemorrhage, end organ or limb ischemia, and death. Various preoperative CT indicators have been previously described in both research investigations and review articles. A large baseline aneurysm size and a rapid increase in size over time are associated with a higher risk for rupture. The importance of obtaining accurate measurements with multiplanar reconstructions and the role of new semiautomated tools for obtaining accurate, reproducible measurements are discussed. Additional CT findings that reflect aortic aneurysm instability include luminal expansion with lysis of thrombus, intramural hemorrhage (ie, the crescent sign), periaortic hemorrhage, a penetrating atherosclerotic ulcer, and contained rupture (ie, the draped aorta sign). After open or endovascular aneurysm repair, CT is routinely used to monitor for graft complications. In this setting, radiologists should understand that the presence of an endoluminal stent or surgical graft does not preclude aortic rupture. Online supplemental material is available for this article.


Jacc-cardiovascular Imaging | 2015

Spectrum of Biventricular Involvement on CMR among Carriers of ARVD/C-Associated Mutations

Neda Rastegar; Stefan L. Zimmerman; Anneline S.J.M. te Riele; Cynthia A. James; Jeremy R. Burt; Aditya Bhonsale; Brittney Murray; Crystal Tichnell; Daniel P. Judge; Hugh Calkins; Harikrishna Tandri; David A. Bluemke; Ihab R. Kamel

Arrhythmogenic right ventricular dysplasia/cardiomyopathy (ARVD/C) is a rare cardiomyopathy characterized by myocardial fibro-fatty replacement predominantly affecting the RV. However, several studies have demonstrated a high incidence of biventricular or even isolated left ventricular (LV)

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Hugh Calkins

Johns Hopkins University

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David A. Bluemke

National Institutes of Health

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Saman Nazarian

University of Pennsylvania

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Ihab R. Kamel

Johns Hopkins University School of Medicine

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Joseph E. Marine

Johns Hopkins University School of Medicine

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Harikrishna Tandri

Johns Hopkins University School of Medicine

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David D. Spragg

Johns Hopkins University School of Medicine

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Ronald D. Berger

Johns Hopkins University School of Medicine

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