In Singapore, lung most cancers screening is really helpful for adults aged 50 to 80 with a 20-pack-year smoking historical past – equal to smoking one pack of cigarettes a day for 20 years – who presently smoke or have give up throughout the previous 15 years. It’s presently not really helpful for never-smokers.
Nonetheless, rising proof means that some never-smokers may profit from screening. Dr Goh stated middle-aged adults with extra danger components – akin to a household historical past of lung most cancers or extended publicity to secondhand smoke – ought to focus on screening with their physician, even when they don’t smoke.
LOW-DOSE CT: ADVANCES IN LUNG CANCER SCREENING
Low-dose CT (LDCT) is broadly really helpful in scientific tips for lung most cancers screening in high-risk people. In contrast to chest X-rays, LDCT produces detailed 3D pictures that make small lung nodules simpler to detect.
“Relying on lesion dimension and site, chest X-rays can miss 20 per cent to 50 per cent of early lung cancers,” stated Dr Goh. “The radiation dose from LDCT is about 1mSv (millisieverts) to 2.5mSv, whereas a typical chest CT scan delivers about 6mSv.”
In Singapore, LDCT is being utilized in an ongoing lung most cancers screening analysis research led by NCCS. As of November 2025, greater than 530 members had been screened, with Stage 1 lung most cancers detected in 9 people – all non-smokers with a household historical past of the illness.
HOW AI IS ASSISTING RADIOLOGISTS
Studying a CT scan is a meticulous course of. Every scan produces round 400 to 700 pictures, and early lung cancers might seem as nodules measuring simply 4mm to 8mm, stated Dr Goh.
To assist radiologists in analysing CT scans, Parkway Radiology makes use of lung CT AI software program authorised by the Well being Providers Authority throughout its community in IHH Healthcare Singapore hospitals. The system flags suspicious lung nodules, together with these which can be small or obscured, for additional scientific evaluation.
“AI help has elevated our radiologists’ sensitivity for detecting early lung cancers from 76.55 per cent to 91.22 per cent,” stated Dr Goh. “The AI software program has been reported to enhance the nodule detection charge by as much as 26 per cent and cut back report technology time by as much as 31 per cent.”