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Welcome to our blog section on Artificial Intelligence (AI)! Here, we will explore in-depth one of the fastest and most exciting technological fields of the modern era.

Lung Cancer Screening: Low Dose CT and the Potential of Photon Counting CT

18/09/2023

LDCT is a computed tomography (CT) type that uses a lower radiation dose than standard-dose CT. This approach has been increasingly utilised in lung cancer screening for high-risk populations, such as individuals with a significant smoking history. The National Lung Screening Trial (NLST) demonstrated that LDCT screening can reduce lung cancer mortality by 20% compared to chest radiography. Consequently, multiple professional societies, including the American College of Radiology (ACR) and the National Comprehensive Cancer Network (NCCN), now endorse LDCT for lung cancer screening in high-risk populations.

LDCT for Lung Cancer Screening: Balancing Benefits and Limitations in Early Detection

The main advantage of LDCT is reduced radiation exposure, which lessens the risk of radiation-induced malignancies. Additionally, LDCT has demonstrated superior sensitivity in detecting early-stage lung cancers compared to chest radiography. Early detection is crucial for improving patient outcomes, as it enables timely intervention and increases the chances of successful treatment.

However, LDCT is not without limitations. One significant challenge is the high false-positive rate, which can lead to unnecessary invasive procedures and patient anxiety. False positives often occur due to the detection of benign pulmonary nodules indistinguishable from malignant ones. LDCT is less effective in identifying ground-glass opacities and can miss cancers with non-solid components. Consequently, there is a need for more advanced imaging technologies to address these limitations.

Photon Counting CT (PCCT) as a Potential Solution

Photon-counting CT (PCCT) is an emerging technology that holds promise for addressing the limitations of LDCT. PCCT uses advanced detectors that can count individual photons, providing more detailed and accurate information about the X-ray attenuation properties of scanned tissues. This technology can potentially improve the diagnostic accuracy of LDCT in several ways:

  • PCCT can achieve higher spatial resolution and better contrast-to-noise ratio than conventional CT. This improvement can help differentiate between benign and malignant pulmonary nodules, reducing the rate of false positives.
  • PCCT can differentiate between various tissue types based on their unique attenuation properties. This ability to distinguish between materials can help identify ground-glass opacities and non-solid components of lung cancers often missed by LDCT.
  • Due to the advanced detector technology, PCCT can potentially achieve lower radiation doses than LDCT, further reducing the risk of radiation-induced malignancies.
  • PCCT can provide functional information, such as blood flow and perfusion, to help assess tumour aggressiveness and guide treatment decisions.

Challenges and Future Directions

Although PCCT shows great promise, it is still experimental and not yet widely available. Large-scale clinical trials are needed to establish its efficacy and safety for lung cancer screening. Additionally, cost and accessibility may be barriers to widespread adoption. However, as technology advances and costs decrease, PCCT may become an essential tool in the fight against lung cancer.

Conclusion

Lung cancer screening using low-dose computed tomography (LDCT) has proven to be an effective method for early detection of lung cancer in high-risk populations. Although its benefits, LDCT faces challenges such as high false-positive rates and limitations in identifying specific types of lung cancers. Photon-counting CT (PCCT) is an emerging technology that has the potential to overcome these challenges by offering improved image resolution, material decomposition, lower radiation doses, and functional imaging capabilities. As further research and clinical trials are conducted, PCCT may become an essential tool in the fight against lung cancer, ultimately leading to improved patient outcomes and reduced mortality rates.

--Source: Open Medscience--