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Dive into the research topics where Milan Pantelic is active.

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Featured researches published by Milan Pantelic.


Jacc-cardiovascular Imaging | 2015

Transcatheter caval valve implantation using multimodality imaging: Roles of TEE, CT, and 3D printing

Brian P. O’Neill; Dee Dee Wang; Milan Pantelic; Thomas Song; Mayra Guerrero; Adam Greenbaum; William W. O’Neill

This iPIX illustrates 3-dimensional (3D) printing guided periprocedural, multimodality pictorial planning performed for a successful transcatheter caval valve implantation (CAVI). A 57-year-old patient with severe mitral valve regurgitation status post–mitral ring placement in 2001 (28-mm Cosgrove


Radiographics | 2010

Ductal Carcinoma in Situ of the Breast: MR Imaging Findings with Histopathologic Correlation

Mahmud Mossa-Basha; Gina M. Fundaro; Biren A. Shah; Sharif A Ali Md; Milan Pantelic

Ductal carcinoma in situ (DCIS) is a noninvasive malignancy that is commonly encountered at routine breast imaging. It may be a primary tumor or may be seen in association with other focal higher-grade tumors. Early detection is important because of the large proportion of DCIS that can progress to invasive carcinoma. The extent of DCIS involvement is frequently underestimated at mammography, which can reliably help detect only calcified DCIS; consequently, magnetic resonance (MR) imaging evaluation can alter the course of treatment. Seven biopsy-proved cases of DCIS were evaluated with T2-weighted MR imaging sequences, as well as T1-weighted sequences performed both before and after contrast material administration. The signal intensity and enhancement patterns of the tumors were analyzed, and the findings were correlated with the relevant underlying histopathologic features. Common enhancement patterns of DCIS include clumped linear-ductal enhancement, clumped focal enhancement, and masslike enhancement. The most common enhancement distribution pattern is segmental, followed by focal, diffuse, linear-ductal, and regional patterns. At T2-weighted MR imaging, DCIS is typically isointense relative to breast parenchyma; less commonly, it is hypointense or hyperintense. The use of MR imaging in the evaluation of DCIS is controversial, and many questions remain with regard to treatment and management. However, breast MR imaging can be extremely useful in the preoperative diagnosis and evaluation of DCIS when used in conjunction with other imaging modalities.


Jacc-cardiovascular Imaging | 2016

Predicting LVOT Obstruction After TMVR

Dee Dee Wang; Marvin H. Eng; Adam Greenbaum; Eric Myers; Michael Forbes; Milan Pantelic; Thomas Song; Christina Nelson; George Divine; Andrew Taylor; Janet Wyman; Mayra Guerrero; Robert J. Lederman; Gaetano Paone; William W. O'Neill

Evolution of catheter-based structural interventions has given patients less invasive alternatives to surgery; however, the current generation of transcatheter heart valves (THV) are not specifically designed for mitral position implantation and have intrinsic geometry that may make mitral


Journal of Applied Clinical Medical Physics | 2015

Initial clinical experience with a radiation oncology dedicated open 1.0T MR-simulation

Carri Glide-Hurst; N Wen; David Hearshen; Joshua Kim; Milan Pantelic; B Zhao; Tina Mancell; Kenneth Levin; Benjamin Movsas; Indrin J. Chetty; M. Salim Siddiqui

The purpose of this study was to describe our experience with 1.0T MR‐SIM including characterization, quality assurance (QA) program, and features necessary for treatment planning. Staffing, safety, and patient screening procedures were developed. Utilization of an external laser positioning system (ELPS) and MR‐compatible couchtop were illustrated. Spatial and volumetric analyses were conducted between CT‐SIM and MR‐SIM using a stereotactic QA phantom with known landmarks and volumes. Magnetic field inhomogeneity was determined using phase difference analysis. System‐related, in‐plane distortion was evaluated and temporal changes were assessed. 3D distortion was characterized for regions of interest (ROIs) 5–20 cm away from isocenter. American College of Radiology (ACR) recommended tests and impact of ELPS on image quality were analyzed. Combined ultrashort echotime Dixon (UTE/Dixon) sequence was evaluated. Amplitude‐triggered 4D MRI was implemented using a motion phantom (2–10 phases, ~2 cm excursion, 3–5 s periods) and a liver cancer patient. Duty cycle, acquisition time, and excursion were evaluated between maximum intensity projection (MIP) datasets. Less than 2% difference from expected was obtained between CT‐SIM and MR‐SIM volumes, with a mean distance of <0.2 mm between landmarks. Magnetic field inhomogeneity was <2 ppm. 2D distortion was <2 mm over 28.6–33.6 mm of isocenter. Within 5 cm radius of isocenter, mean 3D geometric distortion was 0.59±0.32 mm (maximum=1.65 mm) and increased 10–15 cm from isocenter (mean=1.57±1.06 mm, maximum=6.26 mm). ELPS interference was within the operating frequency of the scanner and was characterized by line patterns and a reduction in signal‐to‐noise ratio (4.6–12.6% for TE=50−150 ms). Image quality checks were within ACR recommendations. UTE/Dixon sequences yielded detectability between bone and air. For 4D MRI, faster breathing periods had higher duty cycles than slow (50.4% (3 s) and 39.4% (5 s), p<0.001) and ~ fourfold acquisition time increase was measured for ten‐phase versus two‐phase. Superior–inferior object extent was underestimated 8% (6 mm) for two‐phase as compared to ten‐phase MIPs, although <2% difference was obtained for ≥4 phases. 4D MRI for a patient demonstrated acceptable image quality in ~7 min. MR‐SIM was integrated into our workflow and QA procedures were developed. Clinical applicability was demonstrated for 4D MRI and UTE imaging to support MR‐SIM for single modality treatment planning. PACS numbers: 87.56.Fc, 87.61.‐c, 87.57.cp


Journal of the American College of Cardiology | 2016

TCT-621 Left atrial appendage characteristics evaluated by computed tomography following closure with Watchman device

Daniel Kupsky; Dee Dee Wang; Marvin H. Eng; Thomas Song; Milan Pantelic; Jeffrey Nadig; Adam Greenbaum; William W. O'Neill

Closure of the left atrial appendage (LAA) utilizing the Watchman device has been demonstrated to be an efficacious prophylaxis for stroke. Characterization of the LAA has been performed with both transesophageal echocardiography (TEE) and computed tomography (CT). The LAA is a dynamic, compliant


Jacc-cardiovascular Interventions | 2016

Application of 3-Dimensional Computed Tomographic Image Guidance to WATCHMAN Implantation and Impact on Early Operator Learning Curve: Single-Center Experience

Dee Dee Wang; Marvin H. Eng; Daniel Kupsky; Eric Myers; Michael Forbes; Mehnaz Rahman; Mohammad Zaidan; Sachin Parikh; Janet Wyman; Milan Pantelic; Thomas Song; Jeff Nadig; Patrick Karabon; Adam Greenbaum; William O’Neill


Cardiology Journal | 2010

Coronary computed tomography angiography in dialysis patients undergoing pre-renal transplantation cardiac risk stratification

Justin Mao; Vanji Karthikeyan; Chad Poopat; Thomas Song; Milan Pantelic; Joseph Chattahi; João L. Cavalcante; Karthik Ananthasubramaniam


Radiation Oncology | 2015

Evaluating organ delineation, dose calculation and daily localization in an open-MRI simulation workflow for prostate cancer patients

Anthony Doemer; Indrin J. Chetty; Carri Glide-Hurst; Teamour Nurushev; David Hearshen; Milan Pantelic; Melanie Traughber; Joshua Kim; Kenneth Levin; Mohamed A. Elshaikh; E.M. Walker; Benjamin Movsas


Jacc-cardiovascular Imaging | 2015

Reply: The Role of 3D Printing in Structural Heart Disease: All That Glitters Is Not Gold.

Brian O'Neill; Dee Dee Wang; Milan Pantelic; Thomas Song; Mayra Guerrero; Adam Greenbaum; William W. O'Neill


International Journal of Radiation Oncology Biology Physics | 2014

Initial Clinical Experience With an Open High-Field 1.0T MR-SIM

Carri Glide-Hurst; N Wen; J Kim; David Hearshen; Milan Pantelic; D. Socia; R.G. Price; Kenneth Levin; Benjamin Movsas; Indrin J. Chetty; M.S. Siddiqui

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Thomas Song

Henry Ford Health System

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Adam Greenbaum

Henry Ford Health System

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David Hearshen

Henry Ford Health System

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N Wen

Henry Ford Health System

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Janet Wyman

Henry Ford Health System

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