Dual-Energy Computed Tomography in Detecting and Predicting Lymph Node Metastasis in Malignant Tumor Patients: A Comprehensive Review.
Mengting ChenYundan JiangXu-Hui ZhouDi WuQiuxia XiePublished in: Diagnostics (Basel, Switzerland) (2024)
The accurate and timely assessment of lymph node involvement is paramount in the management of patients with malignant tumors, owing to its direct correlation with cancer staging, therapeutic strategy formulation, and prognostication. Dual-energy computed tomography (DECT), as a burgeoning imaging modality, has shown promising results in the diagnosis and prediction of preoperative metastatic lymph nodes in recent years. This article aims to explore the application of DECT in identifying metastatic lymph nodes (LNs) across various cancer types, including but not limited to thyroid carcinoma (focusing on papillary thyroid carcinoma), lung cancer, and colorectal cancer. Through this narrative review, we aim to elucidate the clinical relevance and utility of DECT in the detection and predictive assessment of lymph node metastasis in malignant tumors, thereby contributing to the broader academic discourse in oncologic radiology and diagnostic precision.
Keyphrases
- lymph node
- lymph node metastasis
- papillary thyroid
- dual energy
- computed tomography
- squamous cell carcinoma
- image quality
- positron emission tomography
- sentinel lymph node
- neoadjuvant chemotherapy
- end stage renal disease
- small cell lung cancer
- high resolution
- contrast enhanced
- magnetic resonance imaging
- ejection fraction
- newly diagnosed
- chronic kidney disease
- artificial intelligence
- squamous cell
- early stage
- patient reported
- peritoneal dialysis
- quantum dots
- machine learning
- robot assisted
- label free
- radiation therapy
- radical prostatectomy