News center | Australia
nlcsp philips

Jul 18, 2025

Lung cancer screening made smarter – Combining Leading Technology and AI

nlcsp philips

Australia's National Lung Cancer Screening Program (NLCSP) commenced in July 2025, aiming to reduce lung cancer mortality through early detection. The program offers biennial low-dose computed tomography (LDCT) scans to asymptomatic individuals aged 50 to 70 who meet specific risk criteria. Eligibility includes those with a smoking history of at least 30 pack-years (e.g., 20 cigarettes per day for 30 years) and either current smokers or individuals who have quit within the past decade [1].


Lung cancer remains Australia's leading cause of cancer-related deaths, with a five-year survival rate of only 26%. The NLCSP aims to transform outcomes by detecting cancers at earlier, more treatable stages. Studies suggest that over the first decade, the program could prevent more than 12,000 deaths and significantly improve survival rates [2].


With more than 260,000 eligible patients possibly presenting for a CT screen in the first year, the management and reporting of these scans will be paramount to the success of the program for the government, providers and most importantly patients.

Philips can provide Radiology and Respiratory clinicians/healthcare professional unique product offering to support the requirements of the NLCSP.


The Philips CT is designed to deliver high-quality imaging with reduced radiation doses [3], which is critical for the NLCSP, where LDCT is used for screening. Lower radiation exposure ensures that patients undergoing regular scans, especially those that will be on the program i.e. those at high risk due to smoking history, receive the benefits of screening with CT’s scanners designed for lower dose scanning.


The LDCT capabilities of the Philips CT5300 coupled with high-resolution imaging, and faster scanning times [4] can allow the detection of small or early-stage lung cancers with higher throughput, maximising the number of patients scanned on any given day. Furthermore, all Philips CT seamlessly integrates with Philips' Advanced Visualisation Workspace (AVW) and other diagnostic platforms, allowing for collaborative, efficient analysis. Radiologists can quickly identify and assess potential lung cancer cases, enhancing the speed and accuracy of diagnosis providing better care for more people.

How AI and Philips Advanced Visualisation Workspace (AVW) can assist all healthcare providers with the NLCSP reporting.


Philips’ AVW is expected to be pivotal in Australia's upcoming NLCSP by enhancing the interpretation, reporting and follow-up of low-dose computed tomography (LDCT) scans. The vendor neutral AVW platform provides advanced tools for radiologists and clinicians to visualize and analyse lung images with greater precision, helping to identify potential early-stage lung cancers and to ensure these can be followed up according to the guidelines [5].

 

Additionally, the vast array of applications available on the AVW support additional findings such as Automated Calcium Analysis for the burden of calcium in the coronary arteries.


Key benefits of AVW when incorporated with CT imaging include:

  1. Enhanced Imaging Analysis: Philips' platform allows for clearer, more detailed 3D visualisation of lung scans [6], improving the accuracy of detecting small or subtle abnormalities, which is crucial for early lung cancer detection.
  2. Faster Diagnosis: Advanced AI assisted algorithms   integrated into the AVW help automate and streamline the review process [7], enabling quicker identification of suspicious areas, thus reducing the time between screening and diagnosis. Additionally, standard practice guidelines incorporated into the application ensure consistency and follow up in accordance with screening and cancer management as well as the ability to detail incidental findings
  3. Collaboration and Workflow Efficiency: The system supports multi-disciplinary collaboration, enabling radiologists, oncologists, and other healthcare professionals to work together efficiently, ensuring that critical findings are communicated rapidly and accurately.
  4. Data Management: AVW allows for the secure management and easy access to vast amounts of imaging data, ensuring proper tracking of patient records across the screening program [8].

 

As mentioned above, the AVW is a true vendor neutral solution, facilitating AVW integration with existing CT systems, and offers reporting guidelines for Pan-Canadian Early Detection Guidelines of Lung Cancer (Pan-Can), Lung Imaging Reporting and Data System (Lung-RADS and Fleischner Society Guidelines for Incidental Pulmonary Nodules recommendations.

 

Additionally, modifications to these guidelines can be easily performed, providing instant capture of results in the required format for the National Cancer Registry, reducing the steps needed to upload all NLCSP results while ensuring consistency in what is stored.

 

For more information about the AVW15 CT Lung Nodule Analysis application, click here.

Estimated reading time: 1-3 minutes

Share on social media

Topics

Contacts

hw headshot

Hayley Willis

Communications and Brand Manager

Philips Australia & New Zealand 

You are about to visit a Philips global content page

Continue

Related news

You are about to visit a Philips global content page

Continue

Our site can best be viewed with the latest version of Microsoft Edge, Google Chrome or Firefox.

You are entering a Philips Healthcare Australia website
Please select the checkbox

The information on this site is not intended for consumers. The information is directed exclusively to health professionals, health practitioners, persons who are purchasing officers in hospitals, and persons who are engaged in the business of wholesaling therapeutic goods (as per s42AA of the Therapeutic Goods Act 1989 (Cth), and s6 of the Therapeutic Goods (Therapeutic Goods Advertising Code) Instrument 2021).

By clicking "Continue" you are indicating that you are one of the intended audience. Click cancel to be redirected to the Philips website.