News | Artificial Intelligence | February 13, 2024

Nanox’s HealthFLD is pioneering the use of a fully automated AI software for liver attenuation analysis from CT scans that has received FDA 510(k) clearance for use in general population

Nanox’s HealthFLD is pioneering the use of a fully automated AI software for liver attenuation analysis from CT scans that has received FDA 510(k) clearance for use in general population

February 13, 2024 — Nanox, an innovative medical imaging technology company, today announced that its deep-learning medical imaging analytics subsidiary, Nanox AI Ltd., received 510(k) clearance by the U.S. Food and Drug Administration (FDA) for HealthFLD, an artificial intelligence (AI) software that provides automated qualitative and quantitative analysis of liver attenuation from routine contrast and non-contrast chest and abdomen CT scans in patients between the ages of 18 to 75. HealthFLD is intended to support clinicians in the detection of fatty liver, correlated with hepatic steatosis, an early sign of metabolic dysfunction-associated steatotic liver disease (MASLD), formerly referred to as non-alcoholic fatty liver disease (NAFLD).

An estimated 24% of U.S. adults are living with MASLD or NAFLDi, a metabolic disease linked to obesity, cardiovascular disease and type 2 diabetes, all of which pose significant public health concerns. Adults with MASLD are not only at risk of developing severe liver complications, such as cirrhosis and metabolic dysfunction-associated steatohepatitis (MASH), but are also at risk of cardiovascular disease, which is the leading cause of death in people living with MASLDii. MASLD is commonly asymptomatic until it progresses to advanced liver fibrosis, and the current gold standard for diagnosis is a liver biopsy, which is invasive and costly. As such, early diagnosis of MASLD could benefit patients and the healthcare system.

While AI assessment of medical imaging offers a reliable, non-invasive, large-scale approach to support clinicians in the assessment of hepatic steatosis (fatty liver), it has traditionally been difficult to assess liver attenuation on contrast-enhanced scans – which make up a large proportion of CT scans – limiting the ability of clinicians to detect non-severe cases of MASLDiii. HealthFLD was designed to help clinicians in the assessment and analysis of fatty liver in the general population from routine CT scans.

Amidst rising obesity rates, the prevalence of liver-related disease is growing, and the need for an approved treatment for MASH has yet to be met. With several late-stage drug candidates for MASH in development and the availability of GLP-1 drugs for the management of type 2 diabetes and other metabolic diseases, identification of liver steatosis is especially relevant.

"We are proud to offer HealthFLD as the third product of Nanox AI’s suite of cutting-edge, AI-powered population health solutions designed to confront chronic diseases of great public health concern head-on and potentially improve health outcomes,” said Erez Meltzer, Chief Executive Officer of Nanox. “Furthermore, we believe that AI innovative solutions, and specifically HealthFLD, may deliver substantial advantages to the biopharmaceutical industry to streamline the identification of candidates for clinical trials of much-needed therapies for liver diseases including MASH. This regulatory decision solidifies our leadership as a developer of automated AI software medical devices.”

In a retrospective 2023 study of 2,917 patients, published in the American Journal of Roentgenology (AJR), the HealthFLD AI software demonstrated high performance in the detection of at least moderate hepatic steatosis in contrast-enhanced CT scans, with a sensitivity of 77.8% and specificity of 93.2% at less than 80 HU. Medical imaging offers the only reliable noninvasive method for quantifying liver fat. Integrating HealthFLD with widely used standard CT scans offers clinicians the potential to opportunistically screen for liver steatosis and possible signs of MASLD on a population level. “In recent years, automated, deep learning tools have offered an efficient, low-cost tool used to detect diseases in earlier stages,” said Perry J. Pickhardt, MD, of the University of Wisconsin School of Medicine & Public Health, and lead author of the AJR study. “We are now at a watershed moment when metabolic diseases are growing in prevalence and more effective treatment options are becoming available. It’s promising to have a liver solution available that may help evaluate early signs of illness from routine imaging.”

The HealthFLD clearance is the third product across the Nanox AI suite of population health solutions to receive FDA clearance. The FDA previously cleared HealthCCSng, a solution that detects coronary artery calcium (CAC) that presents a risk for coronary artery disease, and HealthOST, a solution that assesses vertebral compression fractures and bone mineral density to support clinicians in the evaluation and assessment of musculoskeletal disease of the spine (such as osteoporosis).

About Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly referred to as non-alcoholic fatty liver disease (NAFLD), refers to a group of metabolic conditions linked to obesity, cardiovascular disease and type 2 diabetes. An estimated 30% of the adult population globally has MASLD,iv a major risk factor for chronic liver disease and for cardiovascular disease, which is the leading cause of mortality in this patient population.v

For more information: www.nanox.vision/ai

 

References:

i Younossi ZM, Koenig AB, Abdelatif D, Fazel Y, Henry L, Wymer M. Global epidemiology of nonalcoholic fatty liver disease—meta-analytic assessment of prevalence, incidence, and outcomes. Hepatology. 2016;64(1):73–84. doi:10.1002/hep.28431
ii Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, et al. Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: systematic review and meta-analysis. Hepatology 2017;65:1557-65.
iii Pickhardt PJ, Blake GM, Kimmel Y, et al. Detection of Moderate Hepatic Steatosis on Portal Venous Phase Contrast-Enhanced CT: Evaluation Using an Automated Artificial Intelligence Tool. Amer Jour Roentgen 2023;221(6): 748 – 758.
iv Le MH, Yeo YH, Li X, Li J, Zou B, Wu Y, et al. 2019 Global NAFLD prevalence: a systematic review and meta-analysis. Clin Gastroenterol Hepatol 2022;20:2809-17.
v Dulai PS, Singh S, Patel J, Soni M, Prokop LJ, Younossi Z, et al. Increased risk of mortality by fibrosis stage in nonalcoholic fatty liver disease: systematic review and meta-analysis. Hepatology 2017;65:1557-65. 


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