Results 231 to 240 of about 362,523 (334)

A case of ROS1‐rearranged lung adenocarcinoma in a young man with multiple serosal effusions: Diagnostic pitfalls in pericardial fluid cytology

open access: yesPrecision Medical Sciences, EarlyView.
Abstract ROS1‐rearranged lung adenocarcinoma is a rare subset of non‐small‐cell lung cancer, typically occurring in young never‐smokers. Its occurrence in very young men with a fluid‐dominant presentation is unusual and may lead to diagnostic pitfalls.
Thanh Thao Nguyen   +4 more
wiley   +1 more source

A new perspective on cancer treatment: the interaction and application prospect between ICIs and radiotherapy

open access: yesPrecision Radiation Oncology, EarlyView.
The combination of immune checkpoint inhibitors (ICIs) and radiotherapy synergistically enhances efficacy through an “antigen release‐immune activation” closed‐loop mechanism, significantly improving outcomes in solid tumors (e.g., lung cancer, melanoma).
Guiling Song   +5 more
wiley   +1 more source

129TiP: A single arm phase II study evaluating intracranial efficacy of sacituzumab govitecan (SG) with bevacizumab (BEV) in patients (pts) with active, asymptomatic brain metastases (BM) from non-small cell lung cancer (NSCLC) [PDF]

open access: bronze
L. Hendriks   +9 more
openalex   +1 more source

A sample size analysis of a mathematical model of longitudinal tumor volume and progression‐free survival for Bayesian individual dynamic predictions in recurrent high‐grade glioma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 495-509, March 2025.
Abstract Patients with recurrent high‐grade glioma (rHGG) have a poor prognosis with median progression‐free survival (PFS) of <7 months. Responses to treatment are heterogenous, suggesting a clinical need for prognostic models. Bayesian data analysis can exploit individual patient follow‐up imaging studies to adaptively predict the risk of progression.
Daniel J. Glazar   +5 more
wiley   +1 more source

Mechanistic Learning for Predicting Survival Outcomes in Head and Neck Squamous Cell Carcinoma

open access: yesCPT: Pharmacometrics &Systems Pharmacology, Volume 14, Issue 3, Page 540-550, March 2025.
ABSTRACT We employed a mechanistic learning approach, integrating on‐treatment tumor kinetics (TK) modeling with various machine learning (ML) models to address the challenge of predicting post‐progression survival (PPS)—the duration from the time of documented disease progression to death—and overall survival (OS) in Head and Neck Squamous Cell ...
Kevin Atsou   +4 more
wiley   +1 more source

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