Related Experiment Video
Updated: Jan 20, 2026
Significance of Displacement Current
Preoperative medical therapy for acromegaly: current knowledge and clinical significance
Dan He1, Qinyi Wang2, Zhifeng Sheng2
1Department of Endocrinology and Metabolism, Xiangtan Central Hospital (The Affiliated Hospital of Hunan University), Xiangtan, China.
Abstract:
Acromegaly is a chronic endocrine disorder characterized by excessive secretion of growth hormone (GH), predominantly caused by pituitary adenomas. Despite advancements in neurosurgical techniques, the surgical remission rates for invasive macroadenomas or giant adenomas remain unsatisfactory. Therefore, multimodal treatment strategies, including preoperative medical therapy (POMT), have been implemented to improve patient outcomes. Among these, first-generation somatostatin receptor ligands (fg-SRLs) have been the most extensively studied preoperative agents; however, their clinical efficacy in enhancing postoperative remission remains controversial. In recent decades, ongoing research into novel drugs and molecular targets are reshaping the therapeutic landscape of POMT. Beyond traditional clinical models and functional assays, the integration of advanced imaging modalities and molecular biomarkers promises to refine patient stratification, particularly for individuals with suboptimal responses to transsphenoidal surgery (TSS). Furthermore, novel SRL formulations and the identification of new molecular targets could further expand the therapeutic landscape of POMT. In this narrative review, we systematically summarize the latest research advancements in POMT for acromegaly and discusses potential therapeutic strategies and persisting obstacles in this field.
Related Concept Videos
Significance of Displacement Current
05:52Clinical Efficacy of Small Needle Knife Therapy on Stage I-II Frozen Shoulder
14:56The Combined Use of Transcranial Direct Current Stimulation and Robotic Therapy for the Upper Limb
08:00The Clinical Application of Tumor Treating Fields Therapy in Glioblastoma
05:47Evidence-based Knowledge Synthesis and Hypothesis Validation: Navigating Biomedical Knowledge Bases via Explainable AI and Agentic Systems
Statistical Significance

