Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
470-07-129 ISMRM Abstract

Linking Body Weight and Spinal Biological Aging: A Deep Learning–Derived MRI Aging Biomarker for Spine Health Assessment.

Primary: Body - Whole Body Imaging
Secondary: Analysis Methods - Classification and Prediction
470-07-129 · From Zero to Short TE MSK MRI · Tuesday, 12 May, 2:35 PM–3:30 PM · Traditional Posters | Exhibition Hall
Keywords: Prevention Screening Whole-Body MRI Spine-age Biological-age
Accepted
Roozbeh Bazargani1, Saqib A Basar1, Mahya Mobinikhaledi1, Sadiya Hussain Chatham Parayil2, Rodrigo Solis Pompa1,3, Javad Khaghani2, Ahmed Gouda1, Daniel Daly-Grafstein1, Duc Nguyen2, Saurabh Garg4, Siavash Khallaghi2, Yuntong Ma1, Sam Hashemi 4
1Prenuvo, Inc, San Francisco, United States of America
2AI, Prenuvo, Inc, San Francisco, United States of America
3HEOR and Med affiars, Prenuvo, Inc, San Francisco, United States of America
4Artificial Intelligence, Prenuvo, Inc, San Francisco, United States of America
Presenting Author: Sam Hashemi

Synopsis

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References

1. Smith JA, et al. Obesity and disc degeneration: The biomechanical and inflammatory connection. Spine J. 2022;22(4):615-625.
2. Brown LK, et al. Metabolic syndrome and spine structural changes: A population MRI study. Eur Radiol. 2023;33(11):7321-7330.
3. Cole JH, Franke K. Predicting age using neuroimaging: innovative brain ageing biomarkers. Trends Neurosci. 2017;40(12):681-690.
4. Shen, Liyue, Jimmy Zheng, Edward H. Lee, Katie Shpanskaya, Emily S. McKenna, Mahesh G. Atluri, Dinko Plasto et al. "Attention-guided deep learning for gestational age prediction using fetal brain MRI." Scientific reports 12, no. 1 (2022): 1408.
5. Zhang, Biao, Shuqin Zhang, Jianfeng Feng, and Shihua Zhang. "Age-level bias correction in brain age prediction." NeuroImage: Clinical 37 (2023): 103319.

Cite this abstract

http://echo.ismrm.org/p/ISMRM2026/470-07-129