Scholars@Duke
Dominic Angelo LaBella

Dominic Angelo LaBella

Medical Instructor in the Department of Radiation Oncology
Radiation Oncology

Scholarly Works - Journal articles

Evaluating Sociodemographic Biases in Artificial Intelligence-Based Glioblastoma Response Assessment Algorithms.

Journal article AJNR Am J Neuroradiol · August 3, 2026 BACKGROUND AND PURPOSE: Recent studies have demonstrated bias in various medical imaging artificial intelligence (AI) models, yet the factors underpinning these biases remain relatively unclear. This study evaluated potential sociodemographic biases in AI- ... Full text Link to item Cite

The TopCoW Challenge - Topology-Aware Circle of Willis Segmentation for CT and MR Angiography.

Journal article NEJM AI · August 2026 BACKGROUND: The circle of Willis (CoW) is an important network of arteries connecting major circulations of the brain. Its vascular architecture is believed to influence the risk, severity, and outcome of serious neurovascular diseases. However, characteri ... Full text Link to item Cite

Importance of the Quality of Annotation: Impact of Simulated Inter-Observer Variability on Deep Neural Network Automated Segmentation Model Performance.

Journal article Bioengineering (Basel) · June 17, 2026 BACKGROUND: Deep neural network based prostate segmentation depends on manual annotations, yet the effect of annotation variability on model performance remains underexplored. METHODS: Prostate contours were manually delineated by an expert clinician on 11 ... Full text Link to item Cite

Scalable and Efficient Deep Learning-Based Pipeline for Mitotic Detection and Analysis in Pathology Images.

Journal article Cancers (Basel) · June 1, 2026 Background: Accurate and efficient analysis of mitotic figures in whole-slide images (WSIs) is essential for tumor grading and prognosis. Methods: In this work, we present a three-stage pipeline for WSI-scale mitosis analysis that balances accuracy with cl ... Full text Link to item Cite

Comparison of Local Medicare Guidance and Medicare Advantage Plans for Stereotactic Radiosurgery for Brain Metastases.

Journal article Adv Radiat Oncol · February 2026 PURPOSE: Medicare Advantage operates under a capitated payment model, where Medicare Advantage Organizations (MAOs) must provide services that meet or exceed Medicare Parts A and B standards, ensuring actuarial equivalence. MAOs are mandated to base their ... Full text Link to item Cite

The 2024 Brain Tumor Segmentation Challenge Meningioma Radiotherapy (BraTS-MEN-RT) dataset.

Journal article Sci Data · January 27, 2026 Meningiomas are the most common primary intracranial tumors, frequently requiring radiotherapy as a part of management. Effective radiotherapy planning for meningiomas necessitates accurate and consistent segmentation of target volumes on MRI, a process th ... Full text Link to item Cite

Brain tumor segmentation in Sub-Saharan Africa patient population: The BraTS-Africa challenge.

Journal article Neurooncol Adv · 2026 BACKGROUND: Automated brain tumor segmentation on multi-parametric magnetic resonance imaging (mpMRI) is crucial in assessing patient outcomes and remains a challenge across Sub-Saharan Africa (SSA). Since 2012, the Brain Tumor Segmentation (BraTS) Challen ... Full text Link to item Cite

Multi-phase Automated Segmentation of Dental Structures in CBCT Using a Lightweight Auto3DSeg and SegResNet Implementation

Journal article Lecture Notes in Computer Science · January 1, 2026 Cone-beam computed tomography (CBCT) has become an invaluable imaging modality in dentistry, enabling 3D visualization of teeth and surrounding structures for diagnosis and treatment planning. Automated segmentation of dental structures in CBCT can efficie ... Full text Cite

Prognostic significance of magnetic resonance imaging-detected extraprostatic extension in localized prostate cancer.

Journal article Cancer · December 1, 2025 BACKGROUND: Magnetic resonance imaging (MRI) findings are not currently included in prostate cancer (PC) staging. Yet the presence of MRI-detected extraprostatic extension (EPE) may indicate higher risk disease. The purpose of this study was to assess the ... Full text Link to item Cite

Development and Evaluation of Automated Artificial Intelligence-Based Brain Tumor Response Assessment in Patients with Glioblastoma.

Journal article AJNR Am J Neuroradiol · May 2, 2025 This project aimed to develop and evaluate an automated, AI-based, volumetric brain tumor MRI response assessment algorithm on a large cohort of patients treated at a high-volume brain tumor center. We retrospectively analyzed data from 634 patients treate ... Full text Open Access Link to item Cite

Analysis of the BraTS 2023 Intracranial Meningioma Segmentation Challenge

Journal article Machine Learning for Biomedical Imaging · March 7, 2025 We describe the design and results from the BraTS 2023 Intracranial Meningioma Segmentation Challenge. The BraTS Meningioma Challenge differed from prior BraTS Glioma challenges in that it focused on meningiomas, which are typically benign extra-ax ... Full text Cite

Uncertainty quantification in multi-parametric MRI-based meningioma radiotherapy target segmentation.

Journal article Front Oncol · 2025 PURPOSE: This work investigates the use of a spherical projection-based U-Net (SPU-Net) segmentation model to improve meningioma segmentation performance and allow for uncertainty quantification. METHODS: A total of 76 supratentorial meningioma patients tr ... Full text Link to item Cite

Ensemble Deep Learning Models for Automated Segmentation of Tumor and Lymph Node Volumes in Head and Neck Cancer Using Pre- and Mid-Treatment MRI: Application of Auto3DSeg and SegResNet.

Journal article Head Neck Tumor Segm MR Guid Appl (2024) · 2025 Automated segmentation of gross tumor volumes (GTVp) and lymph nodes (GTVn) in head and neck cancer using MRI presents a critical challenge with significant potential to enhance radiation oncology workflows. In this study, we developed a deep learning pipe ... Full text Link to item Cite

A multi-institutional meningioma MRI dataset for automated multi-sequence image segmentation.

Journal article Sci Data · May 15, 2024 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 l ... Full text Link to item Cite

Effect of histology on stereotactic body radiotherapy for non-small cell lung cancer oligometastatic pulmonary lesions.

Journal article Transl Lung Cancer Res · January 31, 2023 BACKGROUND: Stereotactic body radiotherapy (SBRT) is commonly used to provide targeted treatment to metastatic lung disease. Investigation is needed to understand the influence of histology on treatment outcomes. We report how tumor histology affects local ... Full text Link to item Cite

Is There a Role for Prone Computed Tomography Before Percutaneous Nephrolithotomy?

Journal article J Endourol · January 2022 Background: The majority of percutaneous nephrolithotomies (PCNLs) are performed prone, whereas most preoperative CT scans are done supine. The purpose of this pilot study is to determine if there is utility of prone CT scans in preoperative planning for p ... Full text Link to item Cite

Recurrent Solitary Fibrous Tumor (Intracranial Hemangiopericytoma) Treated With a Novel Combined-Modality Radiosurgery Technique: A Case Report and Review of the Literature.

Journal article Front Oncol · 2022 Solitary Fibrous Tumor (SFT) is a rare and aggressive mesenchymal malignancy of the dura with a predilection for recurrence after treatment. We report a case of a SFT initially treated with subtotal surgical resection followed by a combination of Gamma Kni ... Full text Link to item Cite

The role of adjuvant chemotherapy in the management of acute promyelocytic leukemia differentiation syndrome.

Journal article Front Oncol · 2022 Acute Promyelocytic Leukemia (APL) is characterized by the t(15;17) chromosomal translocation resulting in a PML-RARA fusion protein. The all-trans-retinoic acid (ATRA) and Arsenic Trioxide (ATO) only regimens have demonstrated success in treating low- and ... Full text Link to item Cite

A Case of Primary Signet-Ring Cell Cervical Carcinoma Treated with Chemoradiation, Brachytherapy, and Adjuvant Hysterectomy.

Journal article Case Rep Obstet Gynecol · 2021 Primary signet-ring cell carcinoma of the uterine cervix is a rare subtype of cervical mucinous adenocarcinoma. Approximately 20 cases of primary signet-ring cell carcinoma of the cervix have been reported. Pathologic examination shows that adenocarcinomas ... Full text Link to item Cite

Artificial intelligence for the detection of COVID-19 pneumonia on chest CT using multinational datasets.

Journal article Nat Commun · August 14, 2020 Chest CT is emerging as a valuable diagnostic tool for clinical management of COVID-19 associated lung disease. Artificial intelligence (AI) has the potential to aid in rapid evaluation of CT scans for differentiation of COVID-19 findings from other clinic ... Full text Link to item Cite