Chukwuka Eze
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View article: Long-term outcomes and patterns of failure after empiric SBRT for presumed early-stage lung tumors
Long-term outcomes and patterns of failure after empiric SBRT for presumed early-stage lung tumors Open
Background Stereotactic body radiation therapy (SBRT) is the established standard of care for medically inoperable early-stage non-small cell lung cancer (ES-NSCLC). When a biopsy is unfeasible, it is often delivered empirically, yet long-…
View article: Distinct Clinical and Biological Features of Diffusely Metastatic Versus Bulky Localized Lung Cancer: Real-World Outcomes from a University Cancer Center in Germany
Distinct Clinical and Biological Features of Diffusely Metastatic Versus Bulky Localized Lung Cancer: Real-World Outcomes from a University Cancer Center in Germany Open
Background: Lung cancer metastasis results from local invasion, loss of adhesion, migration, and distant implantation. Some small tumors metastasize diffusely other tumors progress to local bulky disease without metastasis. Here we compare…
View article: The Wandering Fibroid: Case Report on Diagnostic Challenges and Surgical Management
The Wandering Fibroid: Case Report on Diagnostic Challenges and Surgical Management Open
A bstract Parasitic leiomyomas, also known as wandering fibroids, are rare and challenging to diagnose. These ectopic fibroids typically result from the detachment of a uterine fibroid, which then acquires an independent blood supply from …
View article: Empiric stereotactic body radiotherapy for presumed early-stage lung cancer
Empiric stereotactic body radiotherapy for presumed early-stage lung cancer Open
Background Due to demographic shifts, the population is aging, and patients are experiencing more comorbidities. Stereotactic body radiotherapy (SBRT) offers high rates of local control for patients with medically inoperable early-stage no…
View article: Changes in prescribing patterns and access to immune checkpoint inhibitors in german lung cancer patients – a claims data analysis
Changes in prescribing patterns and access to immune checkpoint inhibitors in german lung cancer patients – a claims data analysis Open
Background Recently, immune checkpoint inhibitors (ICIs) have driven profound changes in the treatment of non-small cell lung cancer (NSCLC). Their rapid integration into clinical routine is crucial for patient outcomes. However, prescribi…
View article: Real-world insights into moderately hypofractionated thoracic radiotherapy in elderly and multimorbid patients with stage II/III NSCLC: a retrospective study
Real-world insights into moderately hypofractionated thoracic radiotherapy in elderly and multimorbid patients with stage II/III NSCLC: a retrospective study Open
Purpose: Investigating real-world outcomes of moderately hypofractionated radiotherapy (hypoRT) in elderly and multimorbid stage IIB–IIIC non-small-cell lung cancer (NSCLC) patients ineligible for concurrent chemoradiation. Methods: We ret…
View article: Immune checkpoint inhibition alters patterns of failure in inoperable stage III Non- Small Cell Lung Cancer patients treated with chemoradiotherapy
Immune checkpoint inhibition alters patterns of failure in inoperable stage III Non- Small Cell Lung Cancer patients treated with chemoradiotherapy Open
Purpose: We compared failure patterns in patients with inoperable stage III non-small cell lung cancer (NSCLC) treated with chemoradiotherapy (CRT) alone versus CRT combined with sequential and/or concurrent immune checkpoint inhibitors …
View article: Deep learning-based contour propagation in magnetic resonance imaging-guided radiotherapy of lung cancer patients
Deep learning-based contour propagation in magnetic resonance imaging-guided radiotherapy of lung cancer patients Open
Objective. Fast and accurate organ-at-risk (OAR) and gross tumor volume (GTV) contour propagation methods are needed to improve the efficiency of magnetic resonance (MR) imaging-guided radiotherapy. We trained deformable image registration…
View article: Prospective Assessment of MR Guided Single-Fraction Stereotactic Ablative Radiation Therapy for Peripheral Lung Metastases: Dosimetric and Clinical Outcomes
Prospective Assessment of MR Guided Single-Fraction Stereotactic Ablative Radiation Therapy for Peripheral Lung Metastases: Dosimetric and Clinical Outcomes Open
MR guided single-fraction SABR is a safe and effective treatment option for peripheral lung metastases, demonstrating encouraging LC.
View article: Reirradiation for recurrent glioblastoma: the significance of the residual tumor volume
Reirradiation for recurrent glioblastoma: the significance of the residual tumor volume Open
Purpose Recurrent glioblastoma has a poor prognosis, and its optimal management remains unclear. Reirradiation (re-RT) is a promising treatment option, but long-term outcomes and optimal patient selection criteria are not well established.…
View article: Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis
Assessing ChatGPT’s Educational Potential in Lung Cancer Radiotherapy From Clinician and Patient Perspectives: Content Quality and Readability Analysis Open
Background Large language models (LLMs) such as ChatGPT (OpenAI) are increasingly discussed as potential tools for patient education in health care. In radiation oncology, where patients are often confronted with complex medical terminolog…
View article: Advances of PET/CT in Target Delineation of Lung Cancer Before Radiation Therapy
Advances of PET/CT in Target Delineation of Lung Cancer Before Radiation Therapy Open
In the clinical management of lung cancer, radiotherapy remains a cornerstone of multimodal treatment strategies, often used alongside surgery or in combination with systemic therapies such as chemotherapy, tyrosine kinase inhibitors, and …
View article: Assessing ChatGPT's educational potential in lung cancer radiotherapy: A readability, clinician, and patient evaluation (Preprint)
Assessing ChatGPT's educational potential in lung cancer radiotherapy: A readability, clinician, and patient evaluation (Preprint) Open
BACKGROUND Artificial intelligence models like ChatGPT have advanced significantly, with GPT-4o offering improved accuracy and contextual understanding. In healthcare, ChatGPT provides accessible explanations of complex medical concepts, …
View article: Predictive modeling for healthcare needs in the aging U.S. population: A conceptual exploration
Predictive modeling for healthcare needs in the aging U.S. population: A conceptual exploration Open
The aging population in the United States poses significant challenges for healthcare systems, necessitating advanced strategies to anticipate and meet their healthcare needs. This review paper explores the potential of predictive modeling…
View article: Dosimetric Predictors of Acute Radiation Pneumonitis and Esophagitis in Hypofractionated Thoracic Irradiation of Non-Small Cell Lung Cancer Patients With Poor Prognostic Factors
Dosimetric Predictors of Acute Radiation Pneumonitis and Esophagitis in Hypofractionated Thoracic Irradiation of Non-Small Cell Lung Cancer Patients With Poor Prognostic Factors Open
This study provides insights into dosimetric factors influencing pneumonitis/esophagitis development in NSCLC patients undergoing hypoRT. While MLD and Dmax emerged as significant predictors of pneumonitis and esophagitis, the small sample…
View article: Automation in financial reporting: A conceptual framework for efficiency and accuracy in U.S. corporations
Automation in financial reporting: A conceptual framework for efficiency and accuracy in U.S. corporations Open
This paper reviews the role of automation in financial reporting within U.S. corporations, focusing on how advanced technologies such as artificial intelligence (AI), robotic process automation (RPA), and cloud-based systems are transformi…
View article: AI-driven health data analytics for early detection of infectious diseases: A conceptual exploration of U.S. public health strategies
AI-driven health data analytics for early detection of infectious diseases: A conceptual exploration of U.S. public health strategies Open
This review paper explores the role of AI-driven health data analytics in enhancing the early detection and response to infectious diseases within U.S. public health strategies. It begins by outlining the importance of timely detection in …
View article: The role of big data in transforming financial management in U.S. healthcare: A conceptual framework
The role of big data in transforming financial management in U.S. healthcare: A conceptual framework Open
This paper explores the transformative role of big data in financial management within the U.S. healthcare sector, highlighting its capacity to address long-standing financial inefficiencies, enhance decision-making, and improve regulatory…
View article: Prognostic significance of pretreatment PET parameters in inoperable, node-positive NSCLC patients with poor prognostic factors undergoing hypofractionated radiotherapy: a single-institution retrospective study
Prognostic significance of pretreatment PET parameters in inoperable, node-positive NSCLC patients with poor prognostic factors undergoing hypofractionated radiotherapy: a single-institution retrospective study Open
Background Node-positive non-small cell lung cancers (NSCLCs) present a challenge for treatment decisions, particularly in patients ineligible for concurrent chemoradiotherapy (CRT) due to poor performance status and compromised lung funct…
View article: Tumor board simulation improves interdisciplinary decision-making in medical students
Tumor board simulation improves interdisciplinary decision-making in medical students Open
Introduction Training of interdisciplinary clinical reasoning and decision-making skills, essential in daily clinical practice in oncological specialties, are still underrepresented in medical education. Therefore, at LMU University Hospit…