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Articles 1 - 30 of 2330
Full-Text Articles in Radiology
Is Your Cyst Really A Ganglion Cyst? A Case Report Of Angioleiomyoma Mimicking A Plantar Fascia Cystic Lesion, Christopher Anjorin Ms Dpmc, Joseph Bender Dpm
Is Your Cyst Really A Ganglion Cyst? A Case Report Of Angioleiomyoma Mimicking A Plantar Fascia Cystic Lesion, Christopher Anjorin Ms Dpmc, Joseph Bender Dpm
School of Podiatric Medicine - Student Research
Ganglion cysts are among the most common benign soft tissue masses encountered in podiatric clinical practice, and their diagnosis is often presumed based on location, clinical observation, and transillumination. However, this case highlights a diagnostic idiosyncrasy: a lesion clinically presumed to be a ganglion cyst within the plantar fascia was ultimately identified as an angioleiomyoma following surgical excision and histopathological evaluation. This finding underscores the importance of maintaining a broad differential diagnosis when assessing cystic lesions, particularly those that transilluminate, as benign vascular tumors may closely mimic more common entities in both clinical presentation and imaging. More importantly, what if …
A Dosimetric Comparison Of Halcyon 6x-Fff And Truebeam 6x In Prone Left Whole Breast Radiation Therapy, Maritza Soto, Kelly Labant, M.S., Cmd, Rt(T), Kristen Vu, M.S., Cmd, Rt(T)
A Dosimetric Comparison Of Halcyon 6x-Fff And Truebeam 6x In Prone Left Whole Breast Radiation Therapy, Maritza Soto, Kelly Labant, M.S., Cmd, Rt(T), Kristen Vu, M.S., Cmd, Rt(T)
Masters Projects
Purpose:
This retrospective study compared dosimetric differences between prone left whole breast radiation (WBRT) treatment plans originally generated for Halcyon using 6X flattening- filter-free (FFF) beams and replanned for a conventional TrueBeam using 6X beams.
Methods:
Ten prone whole left breast treatment plans were paired and retrospectively analyzed. Clinically treated Halcyon 6X flattening filter free plans were replanned on TrueBeam using flattened 6X beams in Eclipse v16.1. Contours for all plans were generated using artificial intelligence-based autosegmentation, reviewed by a medical dosimetrist and radiation oncologist, and forward planned with a tangent technique in EZFluence to achieve identical planning objectives. Dose …
Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily
Fast Mr Imaging: Reducing Sedation And Improving Patient Experience, Hajir Aljumaily
Radiologic Sciences
Purpose To examine the impact of fast magnetic resonance (MR) protocols on sedation requirements, patient tolerance, workflow efficiency, and diagnostic accuracy in musculoskeletal and brain imaging.
Method An integrative literature review was conducted using PubMed, CINAHL, and Google Scholar to identify peer-reviewed, original research articles published between 2019 and 2026. Studies were selected for relevance, human subjects, and outcomes related to sedation, patient experience, or diagnostic effectiveness.
Results Fast MR protocols were consistently associated with reduced sedation use, improved patient comfort, and increased exam completion rates. Workflow efficiency improved due to shorter scan times. Although minor reductions in image quality …
Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery
Disengagement And Reconnection: Investigating The Role Of Purpose And Identity Seeking Across Career Stages In Healthcare, Charmel Renee Jeffery
Radiologic Sciences
Purpose To examine the generational purpose gap in healthcare by identifying the psychological and environmental factors underlying early-career disengagement and late-career reconnection.
Method An integrative literature review was conducted using four academic databases. An artificial intelligence (AI)-assisted thematic synthesis was applied to extract and organize findings within a standardized analytic matrix. To ensure accuracy and rigor, all AI-generated outputs were validated against the original source data.
Results Two primary themes emerged. Early-career healthcare workers commonly experienced disengagement associated with destiny beliefs, while later-career professionals demonstrated renewed purpose and resilience despite ongoing stressors.
Discussion The findings revealed a pronounced generational divide …
Ai-Driven Multi-Modal Mr For Precision Oncology, Maneet K. Marwaha
Ai-Driven Multi-Modal Mr For Precision Oncology, Maneet K. Marwaha
Radiologic Sciences
Purpose To examine the role of artificial intelligence (AI) in multiparametric magnetic resonance (MR) imaging for precision oncology, with a focus on automated tumor segmentation, treatment response prediction, and workflow efficiency.
Method A literature review was conducted to examine current evidence on AI applications in multiparametric MR imaging for oncology. Studies evaluating deep learning models for tumor segmentation, longitudinal imaging analysis, and treatment response prediction were synthesized using a thematic analysis approach.
Results Three primary themes emerged: (a) AI-driven tumor segmentation improved accuracy, reproducibility, and efficiency across multiparametric MR sequences; (b) deep learning models enhanced prediction of treatment response through …
Mr-Linac Technology, Katherine Orellana
Mr-Linac Technology, Katherine Orellana
Radiologic Sciences
Purpose To examine the clinical advantages of magnetic resonance-guided linear accelerator (MR-Linac) technology in radiation therapy, with a focus on treatment accuracy, adaptive planning, and patient outcomes.
Method A literature review was conducted using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies published between 2022 and 2026 were included if they addressed the clinical advantages of MR-Linac technology. Findings were synthesized using thematic analysis.
Results Three primary themes emerged: (a) superior soft-tissue visualization improved tumor delineation and treatment accuracy; (b) daily adaptive treatment planning and real-time tumor tracking enhanced precision by accounting …
Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan
Impact Of Music On Patient Comfort During Mr Scans: A Literature Review, He Yan
Radiologic Sciences
Purpose To investigate the influence of auditory stimuli on patient comfort levels during magnetic resonance (MR) imaging, with particular emphasis on indicators of distress, duration of patient positioning, and utilization of emergency signaling devices.
Method An integrative literature review was undertaken utilizing peer-reviewed research articles sourced from journals within the fields of radiology, music therapy, and clinical practice. A comprehensive search was conducted across databases such as PubMed, ScienceDirect, SpringerLink, and Oxford Academic employing keywords including MR anxiety, music therapy, and patient comfort.
Results The body of literature consistently indicated that auditory stimuli significantly mitigate patient anxiety and distress in …
Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le
Enhancing Cancer Diagnosis And Treatment Planning Through Multi-Modal Imaging Techniques: A Literature Review, Ngan Kim Le
Radiologic Sciences
Purpose To examine how combining magnetic resonance (MR), computed tomography (CT), and positron emission tomography (PET) enhances clinical outcomes in complex or metastatic cancers, focusing on diagnostic performance, staging accuracy, and effects on treatment decisions.
Method Data were extracted and analyzed using a thematic synthesis approach for this literature review. Key variables included study design, sample size, cancer type, imaging modalities used, and reported diagnostic outcomes such as sensitivity, specificity, and accuracy.
Results The integration of multiple imaging modalities enhanced diagnostic performance, improved differentiation between tumor recurrence and posttreatment changes, and increased detection of occult metastatic disease. Advanced imaging approaches, …
Ai-Enhanced Ct Reconstruction: Effects On Image Quality Across Dose Levels And Implications For Radiation Dose Optimization: A Systematic Review, Matthew R. Alberto
Ai-Enhanced Ct Reconstruction: Effects On Image Quality Across Dose Levels And Implications For Radiation Dose Optimization: A Systematic Review, Matthew R. Alberto
Radiologic Sciences
Purpose To evaluate how deep learning image reconstruction (DLIR) affects diagnostic image quality and noise characteristics at different radiation dose levels and how it influences dose optimization compared with conventional reconstruction methods.
Method A systematic review was conducted using major databases for studies published between 2020 and 2026. Eligible studies assessed DLIR across multiple dose levels, reported radiation dose, included quantitative image quality metrics, and compared DLIR with filtered back projection or iterative reconstruction.
Results Thirty‑seven studies met criteria, and 15 were synthesized. Three themes emerged: (a) DLIR reduced noise by 15–82% and often improved signal-to-noise and contrast-to-noise ratios while …
Reducing Mr Acquisition Times Using Artificial Intelligence: A Systematic Review, Fatin M. Arief
Reducing Mr Acquisition Times Using Artificial Intelligence: A Systematic Review, Fatin M. Arief
Radiologic Sciences
Purpose To synthesize existing evidence on artificial intelligence (AI) applications for reducing magnetic resonance (MR) imaging acquisition time, evaluate their impact on image quality, and identify challenges in clinical implementation.
Method A systematic literature review was conducted using PubMed, CINAHL, and Scopus including peer reviewed, English-language articles published between 2020 and 2026. Both qualitative and quantitative primary research were eligible and had to be on AI use in MR processes. Findings were analyzed through thematic synthesis, and the quality of each study was appraised using relevant critical appraisal tools.
Results Three major themes emerged: AI methods in MR procedures, perceived …
Impact Of Mr-Linac Technology On Prostate Cancer Treatment Outcomes, Anhdiep P. Tran
Impact Of Mr-Linac Technology On Prostate Cancer Treatment Outcomes, Anhdiep P. Tran
Radiologic Sciences
Purpose To evaluate the impact of magnetic resonance-guided linear accelerator (MR-Linac) technology on treatment precision, clinical outcomes, and operational challenges in prostate cancer radiotherapy.
Method A systematic literature review was conducted using PubMed, Scopus, and Google Scholar to identify peer-reviewed studies published between 2018 and 2026. Eligible studies evaluated MR-Linac technology for prostate cancer and reported outcomes related to treatment precision, toxicity, workflow, and clinical effectiveness.
Results Three primary themes emerged: (a) improved treatment precision through superior soft tissue visualization, real-time target tracking, and adaptive radiotherapy; (b) improved clinical outcomes characterized by reduced radiation exposure to organs at risk, decreased …
Gadolinium Deposition Concerns In Magnetic Resonance Imaging, Emily Tran
Gadolinium Deposition Concerns In Magnetic Resonance Imaging, Emily Tran
Radiologic Sciences
Purpose To examine how concerns about gadolinium deposition have influenced the use of macrocyclic versus linear contrast agents in magnetic resonance (MR) practice.
Method A structured literature review was conducted using AI-assisted research tools and academic databases to identify recent peer-reviewed original research articles related to gadolinium deposition and contrast agent use patterns in MR. Only studies published between 2020 and 2026 were included.
Results Recent research confirmed that gadolinium can accumulate in human tissues following contrast-enhanced MR examinations. Multiple studies demonstrated that linear gadolinium-based contrast agents are associated with greater levels of tissue retention compared with macrocyclic agents due …
Impact Of Artificial Intelligence On The Roles And Career Trajectories Of Radiologic Technologists, Carolina Esquivel
Impact Of Artificial Intelligence On The Roles And Career Trajectories Of Radiologic Technologists, Carolina Esquivel
Radiologic Sciences
Purpose To examine how artificial intelligence (AI) is influencing the roles, responsibilities, and career trajectories of radiologic technologists by identifying emerging challenges and opportunities associated with AI integration in medical imaging.
Method A systematic literature review was conducted using PubMed and CINAHL to identify peer-reviewed studies published between 2016 and 2026. Eligible studies examined AI applications in medical imaging and their effects on workforce roles, education, collaboration, and professional practice. Findings were synthesized using thematic analysis.
Results Three primary themes emerged: (a) workflow efficiency and protocol optimization through AI-assisted imaging processes; (b) professional skill development and evolving responsibilities related to …
Work-Related Musculoskeletal Disorders In Sonography: Impact On Career Longevity And Evidence-Based Interventions For Workforce Retention, Aileen Gonzalez
Work-Related Musculoskeletal Disorders In Sonography: Impact On Career Longevity And Evidence-Based Interventions For Workforce Retention, Aileen Gonzalez
Radiologic Sciences
Purpose To synthesize current evidence on work-related musculoskeletal disorders (WRMSDs) among sonographers, examine their impact on career longevity and job satisfaction, and identify leadership-driven interventions that support workforce retention.
Method A scoping review was conducted using PubMed, Google Scholar, and The University of Texas MD Anderson Cancer Center Research Medical Library to identify peer-reviewed studies published between 2020 and 2026. Eligible studies examined WRMSDs in sonographers and reported outcomes related to career longevity, job satisfaction, workplace retention, or injury prevention interventions. Findings were synthesized thematically.
Results Three primary themes emerged: (a) WRMSDs are highly prevalent across sonography specialties and represent …
High-Definition Healing: Investigating Ai-Driven Mr Reconstruction Methods, Jerell R. Jones
High-Definition Healing: Investigating Ai-Driven Mr Reconstruction Methods, Jerell R. Jones
Radiologic Sciences
Purpose To analyze recent artificial intelligence (AI)-driven magnetic resonance (MR) reconstruction methods aimed at addressing long acquisition times, image artifacts, and workflow inefficiencies.
Method A systematic literature review was conducted using PubMed, Scopus, and Scopus AI, targeting peer‑reviewed studies published between 2015 and 2026. Search terms included “MRI,” “magnetic resonance imaging,” “artificial intelligence,” “deep learning,” and “machine learning.” Eligible studies included methodology, validation, and review papers. Extracted data included algorithm type, study design, key findings, and limitations. Themes were identified through content analysis and generative AI use.
Results Prominent themes identified were the emergence of generative adversarial networks, advanced neural …
Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine, Karmela Kljajic Pascual
Administrative And Clinical Impacts Of Theranostic Program Expansion In Nuclear Medicine, Karmela Kljajic Pascual
Radiologic Sciences
Purpose To synthesize current evidence on theranostic trials, nuclear medicine clinical workflow models, and organizational readiness, with a focus on how healthcare organizations and medical imaging leaders are adapting to the rapid expansion of theranostic services.
Method A comprehensive search was conducted across Scopus, PubMed, MEDLINE, and Google Scholar. Inclusion criteria required peer‑reviewed articles published between 2002 and 2026 addressing nuclear medicine leadership, theranostic implementation, workflow design, and organizational factors influencing theranostic program development. Exclusion criteria removed editorials, blog posts, and nonpeer‑reviewed sources.
Results Four major themes emerged: workforce and staffing demands, infrastructure and resource requirements, regulatory and administrative pressures, …
Evaluating The Safety Of Mr Exposure For Electronic Devices And Implants: A Literature Review, Molly O'Dowd
Evaluating The Safety Of Mr Exposure For Electronic Devices And Implants: A Literature Review, Molly O'Dowd
Radiologic Sciences
Purpose To review literature examining the factors that determine magnetic resonance (MR) compatibility of electronic implants and wearable devices, including device materials, engineering design, regulatory approval processes, and clinical monitoring requirements.
Method An integrative literature review was conducted using peer-reviewed literature addressing MR safety and device compatibility. Databases searched included PubMed, Wiley Online Library, ScienceDirect, and Google Scholar. Studies were selected based on relevance to MR safety classifications, device design considerations, regulatory labeling, and monitoring requirements.
Results The literature demonstrated that MR compatible devices are engineered and tested to meet regulatory safety standards and approved for use under specific scanning …
Application Of Lean Six Sigma Strategies To Improve Diagnostic Imaging Departmental Performance Metrics: A Literature Review, Obinna Newman Osuji
Application Of Lean Six Sigma Strategies To Improve Diagnostic Imaging Departmental Performance Metrics: A Literature Review, Obinna Newman Osuji
Radiologic Sciences
Purpose To systematically evaluate the effectiveness of Lean and Six Sigma quality improvement approaches in enhancing diagnostic imaging workflows and departmental financial performance.
Method Literature for this review was retrieved from Scopus, CINAHIL Plus, PubMed, and Healthcare Administration Database in February and March 2026. Empirical studies and literature reviews were included if they addressed the utilization of Lean Six Sigma, Lean, or Six Sigma as a method of quality improvement within a diagnostic imaging departmental setting.
Results Database searches generated 1,624 articles, and 17 were deemed suitable for inclusion in the study. There were four studies that directly measured patient …
Assault Vs. Assistance: Radiologic Technologist Decision-Making When Fall-Risk Patients Decline Assistance, Pamela O'Dowd
Assault Vs. Assistance: Radiologic Technologist Decision-Making When Fall-Risk Patients Decline Assistance, Pamela O'Dowd
Radiologic Sciences
Purpose To explore how radiologic technologists experience and respond to situations involving fall-risk patients who decline assistance during imaging procedures.
Method A cross-sectional survey design was used to collect data from practicing radiologic technologists recruited through the American Society of Radiologic Technologists. Descriptive statistics, including frequencies and percentages, were analyzed using SPSS to summarize participant responses, and a thematic analysis was conducted on open-ended responses.
Results A total of 87 respondents completed the survey. Results indicated that encounters with fall-risk patients who refuse assistance are common in clinical imaging practice. Sixty-three (72.4%) technologists reported having experienced situations in which a …
Magnetic Resonance In Pregnancy: Safety Considerations, Contrast Risks, And Imaging Modality Alternatives, Lizzette Valdez
Magnetic Resonance In Pregnancy: Safety Considerations, Contrast Risks, And Imaging Modality Alternatives, Lizzette Valdez
Radiologic Sciences
Purpose To examine the safety of magnetic resonance (MR) during pregnancy by evaluating fetal outcomes, contrast agent risks, and the comparative roles of MR, ultrasound, and computed tomography (CT) in prenatal imaging.
Method A literature review was conducted using PubMed and peer-reviewed radiology journals to identify studies evaluating MR safety during pregnancy. The review examined fetal and neonatal outcomes following prenatal MR exposure, trimester-specific imaging considerations, risks associated with gadolinium-based contrast agents, and comparisons among MR, ultrasound, and CT.
Results Three primary themes emerged: (a) noncontrast MR demonstrated a strong safety profile with no consistent association with adverse fetal or …
Comparing Ai-Generated And Human-Written Radiology Reports: Evidence From The Literature, Lakenya Webb
Comparing Ai-Generated And Human-Written Radiology Reports: Evidence From The Literature, Lakenya Webb
Radiologic Sciences
Purpose To evaluate the current evidence comparing artificial intelligence (AI)-generated radiology reports with radiologist-written reports, emphasizing diagnostic accuracy, clinical reasoning, workflow efficiency, and patient safety.
Method A literature review was performed using peer-reviewed articles identified through The University of Texas MD Anderson Cancer Center Research Medical Library. Studies evaluating AI-generated radiology reports were analyzed using AI-assisted thematic synthesis to identify recurring patterns related to report quality, diagnostic performance, and clinical implementation.
Results The literature consistently identified three overarching themes: (a) AI-generated reports demonstrated improvements in structured reporting and factual consistency but exhibited variable diagnostic accuracy; (b) current AI systems had …
Deep Learning Reconstruction In Pediatric Ct Imaging, Cody Wyatt
Deep Learning Reconstruction In Pediatric Ct Imaging, Cody Wyatt
Radiologic Sciences
Purpose To synthesize current evidence on dose optimization using deep learning reconstruction (DLR) with emphasis on computed tomography (CT), pediatrics, contrast to noise ratio (CNR), signal to noise ratio (SNR), and radiation dosage.
Method The methodology was a systematic literature review, synthesizing peer-reviewed literature on the use of DLR in pediatric CT. Databases searched included Scopus, IEEE Xplore, and Web of Science. Keywords include combinations of deep learning reconstruction, DLR, CT, pediatric, dose, and optimization. Boolean operators were used to refine search results.
Results Three themes emerged: dosage reduction, noise reduction, and improved spatial resolution with the use of DLR …
National Pacs And Electronic Health Records: Considerations, Challenges, And Implications For Radiomics, Darchelle Scott
National Pacs And Electronic Health Records: Considerations, Challenges, And Implications For Radiomics, Darchelle Scott
Radiologic Sciences
Purpose To examine the considerations, challenges, and implications of implementing a national picture archiving and communication system (PACS) integrated with electronic health records (EHRs), with particular emphasis on interoperability, radiomics, and patient-centered data sharing.
Method A systematic literature review was conducted using books, peer-reviewed articles, original research studies, and government publications addressing radiomics, TEFCA, blockchain technology, PACS, and EHR integration. Literature was analyzed to evaluate national health information exchange, radiomics applications, and implementation challenges associated with a connected healthcare infrastructure.
Results Three primary themes emerged: (a) interoperable national PACS and EHR systems have the potential to improve continuity of care …
Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta
Ai-Driven Segmentation And Volumetric Response Modeling Of Liver Regions To Radiotherapy, Aashish Chandra Gupta
Dissertations and Theses (Open Access)
In liver-directed radiotherapy (RT), liver regions receiving higher doses typically undergo atrophy while contralateral/adjacent lower-dose regions may exhibit compensatory hypertrophy through regeneration of healthy tissue. Optimizing the RT plan to promote regional hypertrophy while minimizing the risk of developing atrophy has the potential to enhance post-RT liver function and long-term survivorship. However, current clinical practice largely relies on global liver dose-volume metrics during RT-planning, which may obscure favorable dose-response correlation and limit actionable guidance for clinicians. Therefore, we hypothesized that post-RT regional liver response is governed by a combination of region-specific dose-volume and patient clinical features, and that these responses …
Developing A Deep-Learning Model To Segment White Matter Lesions In Cerebral Palsy, Varsha Kumar, Hyukjin Yun, Rose N. Gelineau-Morel, Avner Meoded
Developing A Deep-Learning Model To Segment White Matter Lesions In Cerebral Palsy, Varsha Kumar, Hyukjin Yun, Rose N. Gelineau-Morel, Avner Meoded
Posters
No abstract provided.
Computed Tomography Findings Of Normal Appendix In Pediatric Population, Thanwarat Koonthong, Teerasak Phewplung*
Computed Tomography Findings Of Normal Appendix In Pediatric Population, Thanwarat Koonthong, Teerasak Phewplung*
Chulalongkorn Medical Journal
Background: Appendicitis remains the most common indication for emergency abdominal surgery in children. Computed tomography (CT) plays a vital role in the evaluation of pediatric patients with suspected appendicitis. Yet, there is limited of literature describing the normal appendiceal diameter in the pediatric Asian population.
Objectives: To characterize the normal pediatric appendix and to identify the variables that influence its diameter in pediatric patients aged one day to 18 years who underwent abdominal CT.
Materials and Methods: The study was approved by the IRB. We conducted a retrospective study of 358 children (≤18 years of age) who underwent abdominal CT …
Fractured Focus: Understanding Stress In Second-Year Radiologic Science Students Across Alabama, Kelsi Clotfelter
Fractured Focus: Understanding Stress In Second-Year Radiologic Science Students Across Alabama, Kelsi Clotfelter
Honors Theses
Higher education is a period of rapid transition and growing responsibility, where stress often becomes a routine part of students’ lives. In health professional programs, the combined demands of intensive coursework and clinical training can intensify emotional strain and negatively affect overall well-being. Radiography students experience uniquely high levels of academic, clinical, and emotional stress due to the simultaneous demands of didactic coursework, competency-based clinical training, and high-stakes professional expectations. A cross-sectional mixed-methods study was employed to evaluate the prevalence, sources, and perceived impact of stress among second-year radiography students across multiple Alabama institutions with the goal of identifying strategies …
Hypovascular Aggressive Angiomyxoma In A Pregnant Adolescent: A Case Report And Review Of Its Multimodal Imaging Appearances, Kyler Shin, Kweku Agyepong, Craig Kym, Mohammad Ghasemi-Rad, David Léon
Hypovascular Aggressive Angiomyxoma In A Pregnant Adolescent: A Case Report And Review Of Its Multimodal Imaging Appearances, Kyler Shin, Kweku Agyepong, Craig Kym, Mohammad Ghasemi-Rad, David Léon
Faculty, Staff and Students Publications
Aggressive angiomyxoma (AAM) is a rare mesenchymal tumor that primarily arises in the perineum and pelvis of young females. It is sometimes identified incidentally on pelvic examination and obstetric imaging. Although asymptomatic at small sizes, AAM is typically hypervascular and can grow large enough to complicate a patient's obstetric and gynecologic course of treatment. While AAM is a rare diagnosis reported in the literature, there are limited descriptions of its multimodal radiologic appearance, and uncommonly, it can present as a hypovascular mass. We describe a rare case of hypovascular AAM in pregnancy that did not respond favorably to targeted embolization, …
Blinded, Bias-Controlled Multi-Rater Evaluation Of Human-Versus-Ai Brain Metastasis Segmentation Using A Hybrid Foundation-Model Framework, Yiding Han, Enze Zhu, Mhd Hasan Ai Mekdash, Omar Awad, Piyush Pathak, Shixiao Liang, Daniel Allan Hamstra, Xizhe Zhang, Zaid Ali Siddiqui, Baozhou Sun
Blinded, Bias-Controlled Multi-Rater Evaluation Of Human-Versus-Ai Brain Metastasis Segmentation Using A Hybrid Foundation-Model Framework, Yiding Han, Enze Zhu, Mhd Hasan Ai Mekdash, Omar Awad, Piyush Pathak, Shixiao Liang, Daniel Allan Hamstra, Xizhe Zhang, Zaid Ali Siddiqui, Baozhou Sun
Faculty, Staff and Students Publications
Background: Accurate segmentation of brain metastases (BM) is essential for diagnosis, stereotactic radiosurgery planning, and longitudinal assessment. However, manual contouring is time-intensive, limiting clinical scalability, and exhibits substantial inter-observer variability. This variability complicates objective assessment of automated segmentation methods and challenges interpretation of model performance.
Purpose: To address these limitations, we developed TUM-SAM, a hybrid foundation-model framework for fully automated BM segmentation, and introduced a bias-controlled, blinded multi-rater evaluation paradigm to determine whether AI-based BM segmentation has reached expert-level performance and whether AI-generated contours are preferred by human experts under unbiased assessment.
Methods: TUM-SAM integrates nnU-Net-based lesion detection with a …
Hiding In Plain Sight: A Case Of Intestinal Tuberculosis Masquerading As Benign Lower Gi Bleeding, Lavender Otom, Priyanka Panwar, Gerald Odong, Fatma Kassim, Patricia Okiro, Christopher Opio, Saleem Abdulkarim
Hiding In Plain Sight: A Case Of Intestinal Tuberculosis Masquerading As Benign Lower Gi Bleeding, Lavender Otom, Priyanka Panwar, Gerald Odong, Fatma Kassim, Patricia Okiro, Christopher Opio, Saleem Abdulkarim
Internal Medicine, East Africa
Background Intestinal tuberculosis (TB) represents the most common form of abdominal TB, often affecting the ileocaecal region. Lower gastrointestinal bleeding is an uncommon presentation and may create significant diagnostic uncertainty, particularly in immunocompromised patients and in settings where inflammatory bowel disease is also encountered.
Case Presentation A woman in her sixties from Africa presented with recurrent diarrhoea and intermittent haematochezia over a 6-month period. Initial endoscopic evaluation was nondiagnostic. Cross-sectional imaging later demonstrated multifocal bowel involvement affecting both the small and large bowel, including ileocaecal and rectoanal disease, with associated abdominopelvic lymphadenopathy. Histopathology from repeat colonoscopy biopsy showed caseating granulomas …