Summary: Investigators are developing an AI tool that detects chronic stress by measuring adrenal gland volume on a standard CT scan. This biomarker correlates with cortisol levels, stress questionnaires, and future cardiovascular outcomes, providing the first concept-based approach to stress imaging.
The findings show that a larger adrenal volume is linked to higher blood pressure, greater workload, and an increased risk of heart failure and death. Because millions of CT SCANS are already performed each year, this method can revolutionize early detection and prevention without requiring new tests or radiation.
Basic facts
- AI gress biomarker: Adrenal gland volume measured by CT scan reflects long-term chronic stress more reliably than short-term cortisol testing.
- Risk Prediction: Higher adrenal volume is linked to higher cortisol, increased total workload, and a higher risk of future heart failure.
- Clinical Ability: This BIOMARKER can be removed from the general concept, providing a valuable tool for the prevention of chronic stress-related diseases.
Source: The RSNA
Using a deep learning model of AI, researchers have identified the first biomarker of its kind for the chronic stress of physical stress seen in general thinking, in a study presented next week at the annual meeting of North America (RSNA).
Arm stress can affect physical and mental well-being, causing a variety of problems including anxiety, insomnia, muscle pain, high blood pressure and a weakened immune system, according to the American Psychological Association. Research shows that chronic stress can contribute to the development of major diseases, such as heart disease, depression and obesity.
This Study's Senior Author, Elena Ghotbi, MD, PostDoctol Research Southly School in Baltimore, Maryland, trained an intensive study volume to measure the Adrenal Gland
Every year, tens of millions of CT Scans are performed in the United States alone.
“Our method of construction obtains widely available data and opens the door to a large-scale evaluation of the natural effect of chronic pressure of various pressures using existing CT CT CTs,” said Dr. Ghotbi.
“This AI-driven biomarker has the potential to improve cardiovascular risk stratification and guide preventive care without additional testing or radiation.”
Correspondent ShadPour Demehri, MD, Profero of Radiology at Johns Hopkins, says chronic stress is a common complaint or complaint that many adults deal with every day.
“For the first time, we can 'see' the long-term burden of stress inside the body, using a scanner where patients can measure hospitals across the country. Dr. Demehri said.
Unlike cortisol measurements alone, which provide a temporary snapshot of stress levels, adrenal volume serves as a biological barometer of chronic stress.
In the study, researchers obtained information from 2,842 participants (mean age 69.3; 51 women). This unusual combination of cognitive, biochemical and psychosocial data made it the best, and almost the only, collaboration in developing a cognitive biomarker of chronic stress.
The investigators fully applied their deep learning model to CT Scans to segment and calculate the volume of the adrenal glands. Adrenal Volume Index (AVI) was defined as volume (cm³) divided by Height² (M²). Serum cortisol was collected eight times a day over two days. Total load is based on Body Mass Index, Creatinine, hemoglobin, albumin, glucose, white blood count, heart rate and heart pressure.
Statistical associations were evaluated between AVI and Cortisol, allcostic load, and psychological stress measures, including depression and stress questionnaires. The investigators found that AI-derived AVA was linked with validated stress questionnaires, circulating cortisol levels and future cardiovascular outcomes.
Higher AVI was associated with greater cortisol, poik cortisol and total load. Participants with high perceived stress had higher AVI compared to those with low stress. AVI was also associated with a higher left ventricular index. Each increase of 1 cm³ / M² in AVI is linked to a greater risk of heart failure and death.
“With 10 years of follow-up data from our participants, we were able to link AI-derived AVI with meaningful and relevant results,” said Dr. Ghotbi.
“This is the first cognitive marker of chronic stress that has been validated and shown to have an independent effect on heart disease, that is, heart failure.”
“For more than three decades, we've known that arm compression can wear down the entire body,” says Teresa E. Sebonani, ph.d.
“What makes this work so exciting is that it links a feature discovered through discovery, adrenal volume, with proven natural methods of stress and shows that they independently predict a major health impact.”
Dr. Demehri said that by linking a measurable measurement factor with multiple validated indicators of stress and stress disorders, this study presents a new, realistic way to detect chronic stress.
“The key importance of this work is that the biomarker is available for CTSs that are widely available in the United States for a variety of reasons,” said Dr. Dehhri. “Secondly, it's a physiologically sound measure of adrenal volume, which is part of the body's endless cascade of stress.”
The researchers said the proposed biomarker could be used for various diseases associated with chronic stress in middle-aged and elderly adults.
Other RO-ADIDCHI authors, Seedhouman Seyedekrami, Quincy A. Hathaway, MD, Ph.D., Michael Bankks, Matwer j. Budff, MD, David A. Bluemke, MD, DH.D., R. Graham Barr and Joao Ac Lima, MD
Important Questions Answered:
A: They identified a biomarker based on real-world imaging using AI-measured adrenal gland volume.
A: It indicates long-term physical stress, associated with cortisol, a dramatic burden and the risk of future heart attacks.
A: Cortisol fluctuates throughout the day; Adrenal Volume provides a stable, quantitative indicator of long-term stress load.
Editing notes:
- This article was edited by the editor of neuroscience news.
- The journal is fully reviewed.
- Additional context added by our staff.
About AI research and stress
Author: Linda Brooks
Source: The RSNA
Contact: Linda Brooks – RSNA
Image: This photo is posted in Neuroscience News
Actual research: The findings will be presented at the 111th scientific meeting and the annual meeting of the radiological Society of North America (RSNA).
