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Department of Radiology Faculty Papers

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A Multi-Institutional Meningioma Mri Dataset For Automated Multi-Sequence Image Segmentation, Dominic Labella, Omaditya Khanna, Shan Mcburney-Lin, Ryan Mclean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, Yaseen Dhemesh, Scott Floyd, Devon Godfrey, Fathi Hilal, Anastasia Janas, Anahita Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern Menze, Maxence Pajot, Zachary Reitman, Jeffrey Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Nico Sollmann, David Diffley, Khanak Nandolia, Daniel Warren, Ali Hussain, John Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan Stein, Mahsa Taherzadeh, Eduardo Portela De Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam Shawali, Nikolay Yordanov, Joel Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann Martin, Abdullah Okar, Gennaro D'Anna, Ahmed Taha, Yasaman Sharifi, Shahriar Faghani, Dominic Kite, Marco Pinho, Muhammad Ammar Haider, Michelle Alonso-Basanta, Javier Villanueva-Meyer, Andreas Rauschecker, Ayman Nada, Mariam Aboian, Adam Flanders, Spyridon Bakas, Evan Calabrese May 2024

A Multi-Institutional Meningioma Mri Dataset For Automated Multi-Sequence Image Segmentation, Dominic Labella, Omaditya Khanna, Shan Mcburney-Lin, Ryan Mclean, Pierre Nedelec, Arif Rashid, Nourel Hoda Tahon, Talissa Altes, Ujjwal Baid, Radhika Bhalerao, Yaseen Dhemesh, Scott Floyd, Devon Godfrey, Fathi Hilal, Anastasia Janas, Anahita Kazerooni, Collin Kent, John Kirkpatrick, Florian Kofler, Kevin Leu, Nazanin Maleki, Bjoern Menze, Maxence Pajot, Zachary Reitman, Jeffrey Rudie, Rachit Saluja, Yury Velichko, Chunhao Wang, Pranav Warman, Nico Sollmann, David Diffley, Khanak Nandolia, Daniel Warren, Ali Hussain, John Pascal Fehringer, Yulia Bronstein, Lisa Deptula, Evan Stein, Mahsa Taherzadeh, Eduardo Portela De Oliveira, Aoife Haughey, Marinos Kontzialis, Luca Saba, Benjamin Turner, Melanie Brüßeler, Shehbaz Ansari, Athanasios Gkampenis, David Maximilian Weiss, Aya Mansour, Islam Shawali, Nikolay Yordanov, Joel Stein, Roula Hourani, Mohammed Yahya Moshebah, Ahmed Magdy Abouelatta, Tanvir Rizvi, Klara Willms, Dann Martin, Abdullah Okar, Gennaro D'Anna, Ahmed Taha, Yasaman Sharifi, Shahriar Faghani, Dominic Kite, Marco Pinho, Muhammad Ammar Haider, Michelle Alonso-Basanta, Javier Villanueva-Meyer, Andreas Rauschecker, Ayman Nada, Mariam Aboian, Adam Flanders, Spyridon Bakas, Evan Calabrese

Department of Radiology Faculty Papers

Meningiomas are the most common primary intracranial tumors and can be associated with significant morbidity and mortality. Radiologists, neurosurgeons, neuro-oncologists, and radiation oncologists rely on brain MRI for diagnosis, treatment planning, and longitudinal treatment monitoring. However, automated, objective, and quantitative tools for non-invasive assessment of meningiomas on multi-sequence MR images are not available. Here we present the BraTS Pre-operative Meningioma Dataset, as the largest multi-institutional expert annotated multilabel meningioma multi-sequence MR image dataset to date. This dataset includes 1,141 multi-sequence MR images from six sites, each with four structural MRI sequences (T2-, T2/FLAIR-, pre-contrast T1-, and post-contrast T1-weighted) accompanied by …


Characterization Of Adnexal Masses Using Contrast-Enhanced Subharmonic Imaging: A Pilot Study., Lauren J. Delaney, Priscilla Machado, Mehnoosh Torkzaban, Andrej Lyshchik, Corinne Wessner, Christine H. Kim, Md, Norman G Rosenblum, Scott D. Richard, Kirk Wallace, Flemming Forsberg May 2020

Characterization Of Adnexal Masses Using Contrast-Enhanced Subharmonic Imaging: A Pilot Study., Lauren J. Delaney, Priscilla Machado, Mehnoosh Torkzaban, Andrej Lyshchik, Corinne Wessner, Christine H. Kim, Md, Norman G Rosenblum, Scott D. Richard, Kirk Wallace, Flemming Forsberg

Department of Radiology Faculty Papers

OBJECTIVES: This pilot study evaluated whether contrast-enhanced subharmonic imaging (SHI) could be used to characterize adnexal masses before surgical intervention.

METHODS: Ten women (with 12 lesions) scheduled for surgery of an ovarian mass underwent an SHI examination of their adnexal region using a modified LOGIQ E9 scanner (GE Healthcare, Waukesha, WI) with an endocavitary transducer, in which digital clips were acquired by pulse destruction-replenishment SHI across the lesions. Time-intensity curves were created offline to quantitatively evaluate SHI parameters (fractional tumor perfusion, peak contrast intensity, time to peak contrast enhancement, and area under the time-intensity curve), which were compared to pathologic …


Subharmonic And Endoscopic Contrast Imaging Of Pancreatic Masses: A Pilot Study., Flemming Forsberg, Maria Stanczak, Andrej Lyshchik, David E. Loren, Patrick O'Kane, Ali Siddiqui, Thomas E. Kowalski, Cynthia Miller, Traci Fox, Ji-Bin Liu, John R. Eisenbrey Jan 2018

Subharmonic And Endoscopic Contrast Imaging Of Pancreatic Masses: A Pilot Study., Flemming Forsberg, Maria Stanczak, Andrej Lyshchik, David E. Loren, Patrick O'Kane, Ali Siddiqui, Thomas E. Kowalski, Cynthia Miller, Traci Fox, Ji-Bin Liu, John R. Eisenbrey

Department of Radiology Faculty Papers

OBJECTIVES: To use subharmonic imaging (SHI) to depict the vascularity of pancreatic masses compared to contrast-enhanced endoscopic ultrasound (EUS) and pathologic results.

METHODS: Sixteen patients scheduled for biopsy of a pancreatic mass were enrolled in an Institutional Review Board-approved study. Pulse-inversion SHI (transmitting/receiving at 2.5/1.25 MHz) was performed on a LOGIQ 9 system (GE Healthcare, Milwaukee, WI) with a 4C transducer, whereas contrast harmonic EUS (transmitting/receiving at 4.7/9.4 MHz) was performed with a radial endoscope (GF-UTC180; Olympus Corporation, Tokyo, Japan) connected to a ProSound SSD α-10 scanner (Hitachi Aloka, Tokyo, Japan). Two injections of the contrast agent Definity (Lantheus Medical …


Sonoelastography Of The Common Flexor Tendon Of The Elbow With Histologic Agreement: A Cadaveric Study., Andrea S Klauser, Mathias J Pamminger, Ethan J. Halpern, Mohamed M H Abd Ellah, Bernhard Moriggl, Mihra S Taljanovic, Christian Deml, Judith Sztankay, Guenter Klima, Leonhard Gruber, Werner R Jaschke May 2017

Sonoelastography Of The Common Flexor Tendon Of The Elbow With Histologic Agreement: A Cadaveric Study., Andrea S Klauser, Mathias J Pamminger, Ethan J. Halpern, Mohamed M H Abd Ellah, Bernhard Moriggl, Mihra S Taljanovic, Christian Deml, Judith Sztankay, Guenter Klima, Leonhard Gruber, Werner R Jaschke

Department of Radiology Faculty Papers

Purpose To determine the correlation of the results of conventional B-mode ultrasonography (US) and compression sonoelastography with histologic results in common flexor tendons of the elbow in human cadavers. Materials and Methods Twenty-five common flexor tendons were evaluated in 16 fresh, unembalmed cadavers of 11 women with a median age of 85 years (range, 71-101 years) and five men with a median age of 78 years (range, 70-88 years). Informed consent was provided according to the last will of the donors. B-mode US results were classified as grade 1, normal tendon with homogeneous fibrillar pattern; grade 2, tendon thickening or …


Parametric Mapping Of Contrasted Ovarian Transvaginal Sonography., Katrina Korhonen, Ryan Moore, Andrej Lyshchik, Arthur C. Fleischer Jun 2015

Parametric Mapping Of Contrasted Ovarian Transvaginal Sonography., Katrina Korhonen, Ryan Moore, Andrej Lyshchik, Arthur C. Fleischer

Department of Radiology Faculty Papers

The purpose of this study was to assess the accuracy of parametric analysis of transvaginal contrast-enhanced ultrasound (TV-CEUS) for distinguishing benign versus malignant ovarian masses. A total of 48 ovarian masses (37 benign and 11 borderline/malignant) were examined with TV-CEUS (Definity; Lantheus, North Billerica, MA; Philips iU22; Philips Medical Systems, Bothell, WA). Parametric images were created offline with a quantification software (Bracco Suisse SA, Geneva, Switzerland) with map color scales adjusted such that abnormal hemodynamics were represented by the color red and the presence of any red color could be used to differentiate benign and malignant tumors. Using these map …


Potentials And Limitations Of Real-Time Elastography For Prostate Cancer Detection: A Whole-Mount Step Section Analysis., Daniel Junker, Georg Schäfer, Friedrich Aigner, Peter Schullian, Leo Pallwein-Prettner, Jasmin Bektic, Wolfgang Horninger, Ethan J Halpern, Ferdinand Frauscher Dec 2012

Potentials And Limitations Of Real-Time Elastography For Prostate Cancer Detection: A Whole-Mount Step Section Analysis., Daniel Junker, Georg Schäfer, Friedrich Aigner, Peter Schullian, Leo Pallwein-Prettner, Jasmin Bektic, Wolfgang Horninger, Ethan J Halpern, Ferdinand Frauscher

Department of Radiology Faculty Papers

OBJECTIVES: To evaluate prostate cancer (PCa) detection rates of real-time elastography (RTE) in dependence of tumor size, tumor volume, localization and histological type.

MATERIALS AND METHODS: Thirdy-nine patients with biopsy proven PCa underwent RTE before radical prostatectomy (RPE) to assess prostate tissue elasticity, and hard lesions were considered suspicious for PCa. After RPE, the prostates were prepared as whole-mount step sections and were compared with imaging findings for analyzing PCa detection rates.

RESULTS: RTE detected 6/62 cancer lesions with a maximum diameter of 0-5 mm (9.7%), 10/37 with a maximum diameter of 6-10 mm (27%), 24/34 with a maximum diameter …