Here’s What’s Coming Next in Cancer Diagnostics

In 2019 over 600,000 people died from cancer in the United States alone.

One of the primary drivers behind these high mortality rates for cancer is late diagnosis. For this reason, we’re seeing increasing demand for noninvasive methods to detect cancer easily and at earlier stages. In this podcast, we explore and analyze different methods for noninvasive cancer detection from the mucus in our lungs to the blood flowing through our veins and the software in our imaging systems.

The fact is, early detection of cancer is a real opportunity to improve patient outcomes and channel patients to the appropriate treatments earlier with the idea that early detection and early screening helps prevent some of these later-stage cancers and reduce the cost in our healthcare system. 

There’s a strong opportunity currently due to recent advances in biomarker detection and liquid biopsy as well as advances in artificial intelligence and computer science in general that allow us to do more sophisticated work in imaging analysis. This gives us the opportunity to look at new ways to better screen patients for cancer. Right now, a lot of the existing screening methods have high rates of false positives, which can lead to great expense and unnecessary procedures.

Why Early Cancer Diagnosis Matters

The idea of early detection as the best, most effective approach to cancer care is really not new. As far back as 1907, the British physician Charles Child observed that cancer itself is not incurable. It’s the delay in treatment that makes it difficult to cure later on. So he pushed an early public campaign for early intervention. 

Some patients whose cancers are detected and truly treated early may have better long term survival than patients whose cancers are not found until symptoms appear. Unfortunately, effective screening tests for early detection do not exist for every type of cancer, and for cancers for which there are widely used screening tests some of the tests haven’t yet been proven to reduce cancer mortality. 

Still, there have been some important successes in screening and early detection. 

Deaths from cervical cancer in the U.S. declined substantially after annual screenings with the pap test were introduced. And screening for colon and breast cancer have both been shown to reduce mortality from those cancers.

When it comes to measuring the abilities of a screening tool, it comes down to sensitivity and specificity. Sensitivity is the percentage of patients with a disease who test positive for that disease. Specificity is the percentage of patients without a disease who test negative and sensitivity and specificity live in a state of balance. When you increase sensitivity, that usually comes at the expense of reduced specificity, which could mean more false positives. Likewise, high specificity does a good job of ruling out people who don’t have the disease, but these tools usually tend to have lower sensitivity, which can mean more false negatives, 

Screening tests, in general, tend to have high sensitivity to avoid missing potential disease, while diagnostics tend to have high specificity so that they really understand true negatives. 

This matters, because cancer is an enormous industry. Cancers are the second leading cause of death behind heart disease. More than 1.7 million people have been diagnosed and, in 2019 alone, more than 600,000 people died. Four and 10 people in their lifetime will be diagnosed with canc