July 22, 2024
Read
July 22, 2024

Can an MRI Detect Lung Cancer?

Reviewed By:
Can an MRI Detect Lung Cancer?

Lung cancer is not only one of the most prevalent types of cancer, but it is also the primary cause of cancer-related deaths worldwide, claiming approximately 1.8 million lives in 2020 and consequently representing a major global health challenge. Due to its typically silent progression, lung cancer is often diagnosed at an advanced stage, where treatment options are scarce, contributing to its high mortality rate. Early-stage localized non-small cell lung cancer (NSCLC) and small cell lung cancer (SLC) have 5-year survival rates of 65 and 30 percent, respectively. In contrast, once these cancers reach a late stage and metastasize, their 5-year survival rates drop to 9 and 3 percent, respectively. These statistics highlight the absolute necessity of detecting lung cancer early to give patients the best chance at successful treatment.

Detecting lung cancer at an early stage can be achieved through screening programs aimed at high-risk individuals, particularly those with a history of smoking. Lung cancer is typically identified using imaging techniques such as chest X-rays, computed tomography (CT) scans, and magnetic resonance imaging (MRI). Diagnosis is then confirmed through a combination of imaging results, molecular testing, and lung biopsies.

In this article, we will explore the efficacy and precision of MRI in detecting lung cancer and discuss its essential role in early diagnosis in high-risk individuals.

What is an MRI?

MRI is an advanced, noninvasive imaging technique that employs powerful magnetic fields and radio waves to produce detailed images of the body's internal structures. Unlike X-rays, MRI does not use harmful radiation, making it a safer option. The process works by aligning the protons in the body in a certain direction with a strong magnetic field. When radio waves are applied and stopped, these protons emit signals that are captured and converted into images. Recent advancements in MRI technology, such as the use of stronger magnetic fields up to 3 teslas and the integration of artificial intelligence, have significantly enhanced image quality and diagnostic accuracy, allowing for faster and more precise analysis.

Role of MRI in Detecting Lung Cancer

While MRI scans are central to the detection of many different types of cancers, they are not considered the gold standard for the detection of lung cancer; low-dose CT (LDCT) scans are. Despite this, MRI scans do have a place in lung cancer screening programs and can prove highly useful in certain cases.

Identifying Lung Tumors and Nodules

MRI scans play an increasingly important role in the detection and characterization of lung cancer, providing several advantages over other imaging modalities. Although CT remains the gold standard for detecting lung nodules, advancements in MRI technology have significantly improved its ability to identify and characterize pulmonary nodules as an addition to CT. For example, MRI provides high soft tissue contrast, allowing for better visualization of tumor boundaries and potential invasion into surrounding structures.

Assessing Tumor Staging and Progression

MRI is also instrumental in evaluating the extent of lung cancer, including lymph node involvement and distant metastases, which is crucial for accurate staging. Whole-body MRI with diffusion-weighted imaging (DWI) can assess the M-stage (metastasis) with higher accuracy than positron emission tomography-computed tomography (PET-CT), making it a valuable tool in determining the spread of disease.

MRI excels in detecting brain metastases, a common occurrence in lung cancer patients, and is particularly effective in evaluating Pancoast tumors (a rare lung cancer that has spread to the big nerve that goes into the arm) and potential spinal cord involvement. Its superior soft tissue contrast supports radiation therapy planning by improving target delineation, and MRI-guided radiotherapy systems enable real-time tumor tracking and adaptive therapy.

Additionally, MRI’s functional imaging capabilities, including diffusion-weighted imaging and dynamic contrast-enhanced MRI, provide valuable information about tumor cellularity, vascularity, and metabolic activity, aiding clinicians in assessing treatment responses. Unlike CT and chest X-rays, MRI scans do not use ionizing radiation, making them a safer option for repeated imaging.

Limitations of MRI in Lung Cancer Detection

Notwithstanding the considerable benefits of MRI in assisting in the detection, characterization, and ongoing monitoring of lung cancer, it does have some limitations that must be taken into account when selecting the right scan.

Limitations and Challenges

  • Low sensitivity for small nodules: MRI is limited in its sensitivity in detecting small lung nodules, with sensitivity dropping from 98.5 percent for nodules at least 8-10mm to 80.5 percent for those measuring less than 8mm. 
  • Motion artifacts: MRI is highly sensitive to movement, including respiratory and cardiac motion, which can affect image quality. Advanced techniques are being developed to mitigate this issue.
  • Long examination time: MRI scans typically take longer to perform than CT scans (60 minutes compared to 5 minutes), which can be uncomfortable for some patients. However, new rapid protocols have significantly reduced scan times.
  • Limited accessibility: Patients with certain metallic implants or claustrophobia may not be able to undergo MRI scans. Moreover, MRI is generally more expensive and less widely available than CT, which can limit its use as a primary screening tool.

Comparisons with CT Scans

When comparing MRI and CT scans for diagnosing lung cancer, CT scans are often considered the gold standard because of their high spatial resolution, which allows them to detect even small nodules with a higher sensitivity than MRI, making them suitable for the detection of early-stage tumors. MRI, though generally less sensitive for small nodules, has shown high accuracy for larger nodules and one study showed that, while MRI was less sensitive than CT for detecting nodules overall, detection rates were not significantly different for malignant nodules.

MRI also offers advantages in certain scenarios, particularly for complex tumors (with complicated features, involving multiple cell types or body parts) and Pancoast tumors, where it provides more precise information than CT. Additionally, MRI's superior soft tissue contrast and ability to image the chest in multiple planes make it valuable for assessing chest wall invasion and mediastinal masses.

Recent technological advancements have improved MRI's utility in lung imaging, despite some limitations such as motion artifacts and lower spatial resolution compared to CT. Importantly, MRI does not expose patients to radiation, rendering it highly useful for ongoing monitoring. Comparative studies suggest that MRI can be nearly as effective as CT for larger nodules and might serve as a valuable secondary imaging tool in clinical settings.

Mature female patient undergoing for CT scan examination in the hospital.

Summary: Can an MRI Detect Lung Cancer?

In conclusion, while CT scans remain the gold standard for lung cancer detection due to their high spatial resolution and sensitivity, MRI plays a crucial role in specific diagnostic scenarios. MRI is particularly valuable in assessing complex tumors, mediastinal invasion, and distinguishing between recurrent tumors and fibrosis. Its superior soft tissue contrast and functional imaging capabilities provide detailed information about tumor characteristics and progression. However, MRI is not typically used as the primary tool for lung cancer screening. For high-risk individuals, particularly those with a history of smoking, low-dose CT (LDCT) is recommended for lung cancer screening to ensure early detection and improve treatment outcomes.

If you want to be proactive about your health, why not book an Ezra full-body Plus Scan which includes our MRI and lung CT scan. Our annual scan catches potential cancer earlier, leveraging artificial intelligence through the screening process to make it more efficient, affordable, and faster. To get the best chance at identifying lung abnormalities, you can add a gold-standard LDCT scan with the Full Body Plus scan.