New developments in the imaging of lung cancer.
Ádám Domonkos TárnokiDávid László TárnokiMarta DabrowskaMagdalena Knetki-WróblewskaArmin FrilleHarrison D StubbsKevin G BlythAmanda Dandanell JuulPublished in: Breathe (Sheffield, England) (2024)
Radiological and nuclear medicine methods play a fundamental role in the diagnosis and staging of patients with lung cancer. Imaging is essential in the detection, characterisation, staging and follow-up of lung cancer. Due to the increasing evidence, low-dose chest computed tomography (CT) screening for the early detection of lung cancer is being introduced to the clinical routine in several countries. Radiomics and radiogenomics are emerging fields reliant on artificial intelligence to improve diagnosis and personalised risk stratification. Ultrasound- and CT-guided interventions are minimally invasive methods for the diagnosis and treatment of pulmonary malignancies. In this review, we put more emphasis on the new developments in the imaging of lung cancer.
Keyphrases
- computed tomography
- artificial intelligence
- high resolution
- low dose
- minimally invasive
- contrast enhanced
- magnetic resonance imaging
- positron emission tomography
- lymph node
- image quality
- dual energy
- machine learning
- big data
- pet ct
- physical activity
- pulmonary hypertension
- squamous cell carcinoma
- high dose
- lymph node metastasis
- fluorescence imaging
- photodynamic therapy
- ultrasound guided