Radiology Commons^™

Racial Disparities In Thoracic Aortic Surgery: Myth Or Reality?, Ourania Preventza, Elizabeth Akpan-Smart, Khan Lubna, Katherine Simpson, Lorraine Cornwell, Sydney Schmitt, Hiruni S Amarasekara, Scott A Lemaire, Joseph S Coselli

Faculty, Staff and Students Publications

Objective: We examined the relationship between Black or White race and adverse outcomes in patients who underwent surgery of the ascending aorta, aortic root, or aortic arch at our center.

Methods: We analyzed 2335 consecutive patients who identified as Black (n = 217, 9.3%) or White (n = 2118, 90.7%) and underwent proximal aortic surgery. Patient zip codes were used to determine community socioeconomic (CSE) characteristics. The composite adverse outcome comprised mortality, persistent neurologic injury, and renal failure necessitating dialysis at discharge. We performed multivariable analysis, Kaplan-Meier analysis, and propensity score matching adjusted for CSE factors.

Results: Median follow-up time …

Image-Guided Deployment And Monitoring Of A Novel Tungsten Nanoparticle-Infused Radiopaque Absorbable Inferior Vena Cava Filter In A Swine Model, Erin Marie San Valentin, Jossana A Damasco, Marvin Bernardino, Karem A Court, Biana Godin, Gino Martin Canlas, Adam Melancon, Gouthami Chintalapani, Megan C Jacobsen, William Norton, Rick R Layman, Natalie Fowlkes, Stephen R Chen, Steven Y Huang, Marites P Melancon

Faculty, Staff and Student Publications

PURPOSE: To improve radiopacity of radiolucent absorbable poly-p-dioxanone (PPDO) inferior vena cava filters (IVCFs) and demostrate their effectiveness in clot-trapping ability.

MATERIALS AND METHODS: Tungsten nanoparticles (WNPs) were incorporated along with polyhydroxybutyrate (PHB), polycaprolactone (PCL), and polyvinylpyrrolidone (PVP) polymers to increase the surface adsorption of WNPs. The physicochemical and in vitro and in vivo imaging properties of PPDO IVCFs with WNPs with single-polymer PHB (W-P) were compared with those of WNPs with polymer blends consisting of PHB, PCL, and PVP (W-PB).

RESULTS: In vitro analyses using PPDO sutures showed enhanced radiopacity with either W-P or W-PB coating, without compromising the …

Acute Brachial Artery Occlusion Following Cisplatin-Based Chemotherapy: Case Report, Abenezer Melaku Tafese, Amanuel Yegnanew Adela, Assefa Getachew Kebede, Aklilu Sinte Tegegn, Elsabeth Tizazu Asare, Munir Awol

Student Papers, Posters & Projects

Thromboembolism is a significant cause of mortality and morbidity in cancer patients. While the link between cancer and venous thrombosis is well known, the recognition of arterial thrombosis as a serious complication of cancer and chemotherapeutic agents is a recent development. One of the chemotherapy agents frequently linked to acute vascular events is cisplatin. We discuss a rare case of cisplatin-related brachial arterial thrombosis in a 50-year-old man who was treated for cholangiocarcinoma with cisplatin and gemcitabine. Although rare, cisplatin-related arterial thrombosis demands careful monitoring, a high index of suspicion, and prompt management to prevent serious complications and mortality.

Harnessing Uncertainty In Radiotherapy Auto-Segmentation Quality Assurance, Kareem A Wahid, Jaakko Sahlsten, Joel Jaskari, Michael J Dohopolski, Kimmo Kaski, Renjie He, Enrico Glerean, Benjamin H Kann, Antti Mäkitie, Clifton D Fuller, Mohamed A Naser, David Fuentes

Faculty, Staff and Student Publications

One of the key contributions of this study is the reappropriation of standard DL outputs as a quality indicator to identify cases that clinicians should review further. The authors achieve this by applying an empirically derived threshold to the softmax output of their DL network, computing the mean of the thresholded score map (termed the HiS metric), and correlating it with standard geometric quality indices. When juxtaposed with a mean entropy — a commonly used measure of model output uncertainty — HiS consistently demonstrated a stronger correlation with the geometric indices, suggesting its superior ability to stratify cases needing additional …

Lifestyle Management Of Hypertension: International Society Of Hypertension Position Paper Endorsed By The World Hypertension League And European Society Of Hypertension, Fadi J Charchar, Priscilla R Prestes, Charlotte Mills, Siew Mooi Ching, Dinesh Neupane, Francine Z Marques, James E Sharman, Liffert Vogt, Louise M Burrell, Lyudmila Korostovtseva, Manja Zec, Mansi Patil, Martin G Schultz, Matthew P Wallen, Nicolás F Renna, Sheikh Mohammed Shariful Islam, Swapnil Hiremath, Tshewang Gyeltshen, Yook-Chin Chia, Abhinav Gupta, Aletta E Schutte, Britt Klein, Claudio Borghi, Colette J Browning, Marta Czesnikiewicz-Guzik, Hae-Young Lee, Hiroshi Itoh, Katsuyuki Miura, Mattias Brunström, Norm R C Campbell, Olutope Arinola Akinnibossun, Praveen Veerabhadrappa, Richard D Wainford, Ruan Kruger, Shane A Thomas, Takahiro Komori, Udaya Ralapanawa, Véronique A Cornelissen, Vikas Kapil, Yan Li, Yuqing Zhang, Tazeen H Jafar, Nadia Khan, Bryan Williams, George Stergiou, Maciej Tomaszewski

Faculty, Staff and Student Publications

Hypertension, defined as persistently elevated systolic blood pressure (SBP) >140 mmHg and/or diastolic blood pressure (DBP) at least 90 mmHg (International Society of Hypertension guidelines), affects over 1.5 billion people worldwide. Hypertension is associated with increased risk of cardiovascular disease (CVD) events (e.g. coronary heart disease, heart failure and stroke) and death. An international panel of experts convened by the International Society of Hypertension College of Experts compiled lifestyle management recommendations as first-line strategy to prevent and control hypertension in adulthood. We also recommend that lifestyle changes be continued even when blood pressure-lowering medications are prescribed. Specific recommendations based on …

Subnanometer-Resolution Structures Of The Grass Carp Reovirus Core And Virion, Melissa S Oh, Nikhil T Vettikattu, Harry Michael Baddour, Jennifer H Gross, Brian J Boyce, Mihir R Patel, Nicole C Schmitt, Clementino Arturo Solares, Jackson R Vuncannon, Azeem S Kaka

Faculty, Staff and Student Publications

OBJECTIVE: To describe our modifications to the submental island flap (SMIF) in a case series that demonstrates improved reproducibility, shortened length of stay (LOS), and reduced utilization of hospital resources.

STUDY DESIGN: This retrospective case series with chart review included adult patients who underwent resection of malignant or benign tumors resulting in lateral facial, parotid, or temporal bone defects, which were reconstructed with SMIF.

SETTING: A tertiary-care academic referral center.

METHODS: Retrospective case series included all adult patients who underwent SMIF reconstruction between March 2020 and August 2021. Patient demographic and clinical data were collected. Primary outcomes were measures of …

Breast Multiparametric Mri For Prediction Of Neoadjuvant Chemotherapy Response In Breast Cancer: The Bmmr2 Challenge, Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyunghyun Sung, Anum S Kazerouni, Julie C Dicarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton

Faculty, Staff and Student Publications

Purpose To describe the design, conduct, and results of the Breast Multiparametric MRI for prediction of neoadjuvant chemotherapy Response (BMMR2) challenge. Materials and Methods The BMMR2 computational challenge opened on May 28, 2021, and closed on December 21, 2021. The goal of the challenge was to identify image-based markers derived from multiparametric breast MRI, including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI, along with clinical data for predicting pathologic complete response (pCR) following neoadjuvant treatment. Data included 573 breast MRI studies from 191 women (mean age [±SD], 48.9 years ± 10.56) in the I-SPY 2/American College of Radiology Imaging …

Expert-Centered Evaluation Of Deep Learning Algorithms For Brain Tumor Segmentation, Katharina V Hoebel, Christopher P Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y Huang, Jason M Johnson, Albert Kim, K Ina Ly, Ken Chang, Jay Patel, Marco Pinho, Tracy T Batchelor, Bruce R Rosen, Elizabeth R Gerstner, Jayashree Kalpathy-Cramer

Faculty, Staff and Student Publications

Purpose To present results from a literature survey on practices in deep learning segmentation algorithm evaluation and perform a study on expert quality perception of brain tumor segmentation. Materials and Methods A total of 180 articles reporting on brain tumor segmentation algorithms were surveyed for the reported quality evaluation. Additionally, ratings of segmentation quality on a four-point scale were collected from medical professionals for 60 brain tumor segmentation cases. Results Of the surveyed articles, Dice score, sensitivity, and Hausdorff distance were the most popular metrics to report segmentation performance. Notably, only 2.8% of the articles included clinical experts' evaluation of …

Survivorship, Outcomes, And Risk Factors For Conversion To Total Hip Arthroplasty After Revision Hip Arthroscopic Surgery In Obese Patients: Results At A Minimum 5-Year Follow-Up, Peng Li, Jie Luo, Zilong Zheng, Lu Meng, Anqi Zhang, Wei Cao, Xiaomei Gong

Faculty, Staff and Student Publications

OBJECTIVE: A high number of Non-Small Cell Lung Cancer (NSCLC) patients with brain metastasis who have not had surgery often have a negative outlook. Radiotherapy remains a most common and effective method. Nomograms were developed to forecast the cancer-specific survival (CSS) and overall survival (OS) in NSCLC individuals with nonoperative brain metastases who underwent radiotherapy.

METHODS: Information was gathered from the Surveillance, Epidemiology, and End Results (SEER) database about patients diagnosed with NSCLC who had brain metastases not suitable for surgery. Nomograms were created and tested using multivariate Cox regression models to forecast CSS and OS at intervals of 1, …

Prediction The Dose Distributions Of Prostate Cancer Patients Using Deep Learning, Pumipat Chaikamthorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

Volumetric Modulated Arc Therapy (VMAT) is one of the advanced modalities in recent radiotherapy. It uses the inverse treatment planning system for optimization and dose calculation. However, this approach is a trial-and-error process, which takes a long time. An accurate deep-learning model that can predict the dose would solve this issue. This approach can save more treatment planning time, by guiding the planners to the optimum dose while maintaining the plan quality. The 40 previously treated prostate cancer plans were collected the volumetric information of PTV and OARs, overlapping volume, and the dosimetric information. The regression deep learning model, which …

Optimal Dual-Time-Point Dynamic 68ga-Psma-11 Pet/Ct Protocols For Parametric Imaging Generation In Prostate Cancer Patients, Paphawarin Burasothikul

Chulalongkorn University Theses and Dissertations (Chula ETD)

Globally, prostate cancer is the second most common cancer for men. Prostate cancer patients presenting metastasis exhibit a poor prognosis, consequently leading to diminished survival rates. Thus, 68Ga-PSMA-11 PET/CT examination plays a critical role in prostate cancer diagnosis. Parametric imaging techniques offer the potential to improve the accuracy of quantification analysis in PET/CT diagnosis, but their effectiveness is constrained by lengthy acquisition protocols. This study developed optimal dual-time-point (DTP) parametric imaging using shortened dynamic 68Ga-PSMA-11 PET/CT scans in prostate cancer patients and investigated the feasibility of parametric images in terms of image quality by comparing them with a routine standardized …

In Vivo Measurement Of Nadh Fluorescence Lifetime In Skeletal Muscle Via Fiber-Coupled Time-Correlated Single Photon Counting, Kathryn M. Priest, Jacob V. Schluns, Nathania Nischal, Colton L. Gattis, Jeffery C. Wolchok, Timothy J. Muldoon

Biomedical Engineering Faculty Publications and Presentations

Nicotinamide adenine dinucleotide (NADH) is a cofactor that serves to shuttle electrons during metabolic processes such as glycolysis, the tricarboxylic acid cycle, and oxidative phosphorylation (OXPHOS). NADH is autofluorescent, and its fluorescence lifetime can be used to infer metabolic dynamics in living cells. Fiber-coupled time-correlated single photon counting (TCSPC) equipped with an implantable needle probe can be used to measure NADH lifetime in vivo, enabling investigation of changing metabolic demand during muscle contraction or tissue regeneration. This study illustrates a proof of concept for point-based, minimally-invasive NADH fluorescence lifetime measurement in vivo. Volumetric muscle loss (VML) injuries were …

Myasthenia Gravis And Numb Chin Syndrome With Lung Carcinoma, Rajesh Kumar Gupta, Ashutosh Gupta, Daniel S Um, Zarrin Khameh Neda

Faculty, Staff and Students Publications

No abstract provided.

Impact Of The Covid-19 Pandemic And Vaccine Availability On Utilization Of Breast Imaging In A Multistate Radiology Practice, Andrew K Hillman, Phil Ramis, Patrick Nielsen, Eric M Rohren

Faculty, Staff and Students Publications

METHOD: Data were obtained from medical health records across 77 Radiology Partners practices in the US. The data provided us with the total monthly mammography, breast ultrasound, and breast MRI procedures from January 2019 to September 2022. An interrupted time-series (ITS) analysis was conducted to evaluate the effect of the COVID-19 pandemic and the COVID-19 vaccination. We chose March 2020 and December 2020 as critical time points in the pandemic and analyzed trends before and after these dates.

RESULTS: The starting level (at baseline in January 2019) of the total breast imaging procedure volume was estimated at 114,901.5, and this …

Para-Infectious Brain Injury In Covid-19 Persists At Follow-Up Despite Attenuated Cytokine And Autoantibody Responses, Benedict D Michael, Cordelia Dunai, Edward J Needham, Kukatharmini Tharmaratnam, Robyn Williams, Yun Huang, Sarah A Boardman, Jordan J Clark, Parul Sharma, Krishanthi Subramaniam, Greta K Wood, Ceryce Collie, Richard Digby, Alexander Ren, Emma Norton, Maya Leibowitz, Soraya Ebrahimi, Andrew Fower, Hannah Fox, Esteban Tato, Mark A Ellul, Geraint Sunderland, Marie Held, Claire Hetherington, Franklyn N Egbe, Alish Palmos, Kathy Stirrups, Alexander Grundmann, Anne-Cecile Chiollaz, Jean-Charles Sanchez, James P Stewart, Michael Griffiths, Tom Solomon, Gerome Breen, Alasdair J Coles, Nathalie Kingston, John R Bradley, Patrick F Chinnery, Jonathan Cavanagh, Sarosh R Irani, Angela Vincent, J Kenneth Baillie, Peter J Openshaw, Malcolm G Semple, Covid-Cns Consortium, Isaric4c Investigators, Leonie S Taams, David K Menon

Faculty, Staff and Student Publications

To understand neurological complications of COVID-19 better both acutely and for recovery, we measured markers of brain injury, inflammatory mediators, and autoantibodies in 203 hospitalised participants; 111 with acute sera (1-11 days post-admission) and 92 convalescent sera (56 with COVID-19-associated neurological diagnoses). Here we show that compared to 60 uninfected controls, tTau, GFAP, NfL, and UCH-L1 are increased with COVID-19 infection at acute timepoints and NfL and GFAP are significantly higher in participants with neurological complications. Inflammatory mediators (IL-6, IL-12p40, HGF, M-CSF, CCL2, and IL-1RA) are associated with both altered consciousness and markers of brain injury. Autoantibodies are more common …

Accuracy Of Swept Source Biometry Device In Detecting Macular Diseases Compared With Swept Source Oct, Sidra Zafar, Taha Muneer Ahmed, Rashid Baig, Irfan Jeeva, Rehman Siddiqui

Department of Ophthalmology & Visual Sciences

Objective: To assess the diagnostic accuracy of the IOLMaster 700 foveal scans to detect foveal pathology compared with a standard swept-source optical coherence tomography (SS-OCT) device.
Results: One hundred seventy eye scans of 95 patients were included in the final analyses. Ninety-nine (58.2%) scans were classified as abnormal by SS-OCT. Mean sensitivity of the biometry device was 67.5% (range: 51-84%) and mean specificity was 69.5% (range: 44-95%). Intra-class correlation coefficients were 0.912 and 0.835, for reader 1 and 2, respectively. Area under the curve for receiver operating curve was 0.726. Foveal scans of the IOLMaster 700 can provide clinically useful …

The Role Of Point-Of-Care Ultrasound In The Assessment Of Pelvic Urine Leakage And Diagnosis Of Urinoma, Asra Moradkhani, Mona Zangi, Mobin Azami, Mohammad Ghasemi-Rad, Abdolghader Pakniyat

Faculty, Staff and Students Publications

BACKGROUND: Urinoma, a rare condition resulting from urine leakage due to trauma to the kidney, bladder, or urethra, is typically diagnosed using enhanced computed tomography urogram with delayed imaging. This report presents two cases of urinoma likely caused by overdistention of the renal pelvis following excessive fluid intake and the presence of a ureteral stone.

CASE PRESENTATION: We present two cases of 36-year-old and 38-year-old patients who presented with flank pain. point-of-care ultrasound (POCUS) played a pivotal role in identifying perinephric fluid in Morrison's space and the splenorenal space, respectively. These ultrasound findings guided further investigations, leading to definitive diagnoses …

The Effect Of Non-Immersive Virtual Reality Radiographic Positioning Simulation On First-Year Radiography Students' Image Evaluation Of Routine Positioning Errors, Ellie M. Miller

Theses & Dissertations

Optimal radiographic image quality is critical because it affects the accuracy of the radiologist’s interpretation. Radiologic technologists are obligated to obtain diagnostic images while minimizing patient radiation. However, repeated images due to technologist error have increased in recent years. This study aimed to evaluate the effectiveness of non-immersive virtual reality (VR) simulation on first-year students’ image evaluation of common positioning errors on routine knee and lumbar spine protocols. Research questions were 1) Does guided instruction using non-immersive radiographic positioning simulation software lead to improved image evaluation scores? 2) How well do participants describe evaluation of positioning errors after guided instruction …

Self-Calibrated Subspace Reconstruction For Multidimensional Mr Fingerprinting For Simultaneous Relaxation And Diffusion Quantification, Jessie E.P. Sun, Ken Sakaie, Mark A. Griswold

Faculty Scholarship

Purpose: To propose a new reconstruction method for multidimensional MR fingerprinting (mdMRF) to address shading artifacts caused by physiological motion-induced measurement errors without navigating or gating. Methods: The proposed method comprises two procedures: self-calibration and subspace reconstruction. The first procedure (self-calibration) applies temporally local matrix completion to reconstruct low-resolution images from a subset of under-sampled data extracted from the k-space center. The second procedure (subspace reconstruction) utilizes temporally global subspace reconstruction with pre-estimated temporal subspace from low-resolution images to reconstruct aliasing-free, high-resolution, and time-resolved images. After reconstruction, a customized outlier detection algorithm was employed to automatically detect and remove images …

Deployment And Assessment Of A Deep Learning Model For Real-Time Detection Of Anal Precancer With High Frame Rate High-Resolution Microendoscopy, David Brenes, Alex Kortum, Jackson Coole, Jennifer Carns, Richard Schwarz, Imran Vohra, Rebecca Richards-Kortum, Yuxin Liu, Zhenjian Cai, Keith Sigel, Sharmila Anandasabapathy, Michael Gaisa, Elizabeth Chiao

Faculty, Staff and Students Publications

Anal cancer incidence is significantly higher in people living with HIV as HIV increases the oncogenic potential of human papillomavirus. The incidence of anal cancer in the United States has recently increased, with diagnosis and treatment hampered by high loss-to-follow-up rates. Novel methods for the automated, real-time diagnosis of AIN 2+ could enable "see and treat" strategies, reducing loss-to-follow-up rates. A previous retrospective study demonstrated that the accuracy of a high-resolution microendoscope (HRME) coupled with a deep learning model was comparable to expert clinical impression for diagnosis of AIN 2+ (sensitivity 0.92 [P = 0.68] and specificity 0.60 [P = …