What is it about?
Microwave ablation (MWA) offers a new treatment option for patients with lung tumours. Pre-operative prediction of recurrence after MWA can reduce unnecessary suffering in patients. Artificial Intelligence (AI) is increasingly used in medicine, can it be cleverly combined with therapeutic prognosis? In this article, we developed and validated radiomics models to predict recurrence after MWA of lung tumours.
Featured Image
Photo by Growtika on Unsplash
Why is it important?
We developed preoperative prediction models to assess the risk of recurrence and probability of survival after MWA in lung tumours, which is helpful for selecting a treatment regimen or designing a personalised follow-up.
Perspectives
Artificial intelligence (AI) is transforming our healthcare. Previously, the need for microwave (MWA) treatment could only be determined through complex clinical assessments. AI has the potential to accurately mine the biology of lung tumors to predict with high accuracy and non-invasively whether recurrence will occur. We also hope that more and more researchers will get involved, enabling the integration of AI into medicine.
Fandong Zhu
Shaoxing People's Hospital
Read the Original
This page is a summary of: Prediction of Microwave Ablation Recurrence in Pulmonary Malignancies
Using Preoperative Computed Tomography Radiomics Models, Current Medical Imaging Formerly Current Medical Imaging Reviews, February 2024, Bentham Science Publishers,
DOI: 10.2174/0115734056272894231211041727.
You can read the full text:
Contributors
The following have contributed to this page
