Results 151 to 160 of about 379,925 (396)
This review outlines association between vasculitis and malignancies and provides practical value for clinicians in distinguishing primary vasculitis from malignancy‐associated forms and optimizing patient surveillance, improving recognition of tumor‐associated vasculitis to reduce the risk of misdiagnosis, supporting more accurate clinical decision ...
Xiaofei Shi +8 more
wiley +1 more source
Tumor vascular remodeling is discussed from a chemokine‐centered perspective. This review summarizes the bidirectional, temporal, and tissue‐specific roles of CXC chemokines in regulating vascular function and immune accessibility. A functional vascular normalization score is introduced as a conceptual framework to integrate dynamic vascular and immune
Hongdan Chen +7 more
wiley +1 more source
Quantification of thyroglobulin messenger RNA byIn situ hybridization in. Differentiated thyroid cancers difference between well-differentiated and moderately differentiated histologic types [PDF]
Jean‐Louis Bergé‐Lefranc +4 more
openalex +1 more source
ABSTRACT Aim Spigelman stage IV duodenal polyposis (SP‐stage IV DP) is associated with high duodenal cancer risk in patients with familial adenomatous polyposis (FAP). This study evaluated the surgical and oncological outcomes of pancreas‐sparing total duodenectomy (PSTD) as a surgical prophylaxis for severe duodenal polyposis in FAP.
Takehiro Shiraishi +8 more
wiley +1 more source
ABSTRACT The therapeutic landscape of hepatocellular carcinoma (HCC) has been transformed by recent advancements in systemic therapies, particularly with the introduction of immune checkpoint inhibitors, expanding treatment options beyond conventional locoregional approaches.
Keiichi Akahoshi +4 more
wiley +1 more source
Estimation of the Release Time from Isolation for Patients with Differentiated Thyroid Cancer Treated with High-dose I-131 [PDF]
Jai Hyuen Lee, Seok Gun Park
openalex +1 more source
Dual‐Scale Transformer Fusion With Meta Learning for Micro Metastasis Detection in Thyroid Cancer
A dual‐scale transformer model enhanced by meta‐learning enables accurate detection of tiny metastatic lesions in thyroid cancer. By combining cellular and tissue‐level features, the method outperforms existing models and shows strong adaptability to rare cases with limited data.
Jingtao Wang +5 more
wiley +1 more source

