Measuring a fever is usually pretty simple: place a thermometer under a patient’s tongue and get an accurate temperature reading within 30 seconds. But that simplicity does not translate when it comes to measuring the temperatures of specific tissues deep inside the body.
Biomedical engineers at Duke University have demonstrated how photoacoustic imaging can take the temperature of deep tissue more quickly and accurately than current techniques. This discovery is expected to play an important role in advancing thermal-based therapies to treat cancer. The research appears February 12 in the journal Optica.
Tracking the temperature of internal tissues is essential for many biomedical studies and thermal therapies of cancers, often affecting a treatment’s efficiency or side effects.
“If we use MRI or ultrasound, we’re looking at relative temperature and operating under the assumption that the patient has a baseline temperature of 98 degrees Fahrenheit, which isn’t always the case,” said Junjie Yao, assistant professor of biomedical engineering at Duke. “We found a way to measure absolute temperature by using photoacoustic imaging to probe the thermal memory of the tissue.”
As the name implies, photoacoustic imaging allows researchers to combine the properties of light and sound. This technique allows researchers to convert light beamed through tissue into ultrasound waves that can then be analyzed to create high-resolution images.
“It’s basically compressing one second’s worth of summer-noon sunlight over a fingernail area in a single nanosecond,” said Yao, who has been working with the technology for nearly a decade. “When the laser hits a cell, the energy causes it to heat up a tiny bit and expand instantaneously, creating an ultrasonic wave. It’s analogous to striking a bell to cause it to ring.”
According to Yao, researchers have wanted to use photoacoustic imaging to measure temperature for a long time, but they’ve consistently experienced technical roadblocks.
“The conversion efficiency between light and sound is temperature-dependent, so we know it’s possible to measure temperature by listening to soundwaves generated by light,” Yao said. “However, we haven’t previously been able to measure absolute temperature because the process itself needs to know how many photons are reaching the tissue, which is technically challenging.”
To get around this missing information, Yao is working with Pei Zhong, a professor in the department of mechanical engineering and materials science who has generated deep tissue heating using high intensity focused ultrasound (HIFU). Their team devised a new approach named thermal-energy-memory-based photoacoustic thermometry, or TEMPT, which uses photoacoustic imaging to measure the tissue’s “thermal memory.”
With TEMPT, researchers take a baseline temperature reading before bombarding the tissue with a burst of nanosecond-long laser pulses. The pulses temporarily increase the tissue’s temperature, which is then measured using another photoacoustic pulse.
The research team was able to use these measurements and a mathematical model to estimate the absolute temperature without knowing how many photons were delivered.
The ability to more precisely measure the temperature of tissues deep in the body has important implications for treating cancer with thermal ablation, which involves heating up tumor cells using HIFU or radio waves until they die. Although thermotherapy is a newcomer in the battle of fighting cancers, researchers are very enthusiastic about this treatment because it doesn’t cause the serious side-effects associated with radiotherapy and chemotherapy.
“One of the challenges with thermotherapy is that we need to keep the temperature in the most efficient range,” Yao said. “If the temperature is too high, we can damage the surrounding tissues, and if it’s too low, we’re not causing enough damage to the tumor. The TEMPT technology could be incorporated into the treatments to hone in on the perfect temperature.”
Yao said researchers are eager to explore the most precise temperature range for efficiently killing tumor cells. Beyond the therapeutic potential, Yao and his collaborators are also examining how their work can be applied to other fundamental research questions.
“We’re already forming new collaborations, both with physicians and engineers, to continue to advance this new technology in the lab and beyond,” Yao said. “This is very exciting because it can potentially be translated to clinical impacts and benefit cancer patients.”
This research was supported by the Duke MEDx Basic Science Pilot Grant, Duke Center for Genomic and Computational Biology Faculty Pilot Research Grant, the American Heart Association Collaborative Sciences Award (18CSA34080277); National Key R&D Program of China (2016YFC0102200); National Natural Science Foundation of China (NSFC) (81471665 and 81561168023) and National Institutes of Health (R37-DK052985-21).
CITATION: “Thermal Memory Based Photoacoustic Imaging of Temperature,” Yuan Zhou, Mucong Li, Wei Liu, Georgy Sankin, Jianwen Luo, Pei Zhong, and Junjie Yao. Optica, February 12, 2019.
Disclaimer: AAAS and EurekAlert! are not responsible for the accuracy of news releases posted to EurekAlert! by contributing institutions or for the use of any information through the EurekAlert system.