3 results match your criteria: "71537Jiangmen Central Hospital[Affiliation]"

: To investigate the underlying mechanisms of how the basic fibroblast growth factor monoclonal antibody (bFGFmAb) attenuates cisplatin (DDP) resistance in lung cancer using A549 cells and cisplatin-resistant A549 cells (A549/DDP). : Cancer cell proliferation, cell viability, and 50% inhibitory concentration (IC50) of cisplatin were assessed. Transwell assays were utilized to evaluate the invasion activity of tumor cells in response to treatment.

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Background: Deep learning (DL) has been used on medical images to grade, differentiate, and predict prognosis in many tumors.

Purpose: To explore the effect of computed tomography (CT)-based deep learning nomogram (DLN) for predicting cervical cancer lymph node metastasis (LNM) before surgery.

Material And Methods: In total, 418 patients with stage IB-IIB cervical cancer were retrospectively enrolled for model exploration (n = 296) and internal validation (n = 122); 62 patients from another independent institution were enrolled for external validation.

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Background: Eight randomized controlled trials have consistently shown that endovascular treatment plus best medical treatment improves outcome after acute anterior proximal intracranial large vessel occlusion strokes. Whether intravenous thrombolysis prior to endovascular treatment in patients with anterior circulation, large vessel occlusion is of any additional benefits remains unclear.

Objective: This study compares the safety and efficacy of direct endovascular treatment versus intravenous recombinant tissue-type plasminogen activator bridging with endovascular treatment (bridging therapy) in acute stroke patients with intracranial internal carotid artery or middle cerebral artery-M1 occlusion within 4.

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