The RSNA Lumbar Degenerative Imaging Spine Classification (LumbarDISC) Dataset

Radiology Artificial Intelligence 2026

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Authors: Tyler Richards, Adam E. Flanders, Errol Colak, Luciano M. Prevedello, Robyn L. Ball, Felipe Kitamura, John Mongan, Maryam Vazirabad, Hui Ming Lin, Anne Elizabeth Kendell, Thanat Kanthawang, Salita Angkurawaranon
+88 more Emre Altınmakas, Hakan Doğan, Paulo Eduardo de Aguiar Kuriki, Arjuna Somasundaram, Christopher Rushton, Deniz Bulja, Naida Spahović, Jennifer Sommer, Sirui Jiang, Eduardo Moreno Júdice de Mattos Farina, Eduardo Caminha Nunes, Michael Brassil, Megan McNamara, Johanna Ortiz, Jacob Peoples, Vinson L. Uytana, Anthony W. Kam, Venkata Naga Srinivas Dola, Daniel Murphy, David Vu, Arsany Hakim, Jason F. Talbott, for the Dataset Contributor Group, for the Dataset Annotator Group, for the Competition Data Notebook and Curation Group, Samantha Yost, Nedim Kruscica Berg, Damir Hadzalic, Rahin Chowdhury, Conor Waters, Johnathon Harris, Arsalan P. Rizwan, Jianwei Yue, Arsany Hakim, Lai Peng Chan, Vinson Louis Uytana, Anthony Kam, Venkata Naga Srinivas Dola, Girish Bathla, Yonghan Ting, Daniel Murphy, David Vu, Gagandeep Choudhary, Tze Chwan Lim, Luciano Farage, C Lincoln, Kian Ming Chew, Katie Bailey, Eduardo Portela de Oliveira, Fanny Moron, Achint Kumar Singh, Nico Sollmann, Kim Seifert, Eric D. Schwartz, Mariana Sanchez Montano, Charlotte Yuk-Yan Chung, Lubdha Shah, Ling Ling Chan, Scott R. Andersen, Troy Hutchins, Rita Nassanga, Rukya Ali Masum, Karl Söderlund, Le Roy Chong, Jonathan D. Clemente, Ali Haikal Hussain, Keynes Low, Mohiuddin Hadi, Michael Hollander, Nurul Hafidzah Binti Rahim, Angela Guarnizo Capera, Lex A. Mitchell, Gennaro D’Anna, Ellen Hoeffner, JOHN L. GO, Facundo Nahuel Díaz, Jacob Ormsby, Jaya Nath, Nathaniel Fischer, Vahe M. Zohrabian, Mary Niroshinee Muthukumarasamy, Sucari Vlok, Nafisa Paruk, Shayan Sirat Maheen Anwar, Giuseppe Cruciata, Omar Islam, Loizos Siakallis, Ichiro Ikuta
DOI: 10.1148/ryai.250480
Cited by: 2
References: 9

Abstract

The RSNA Lumbar Degenerative Imaging Spine Classification dataset is the largest publicly available adult MRI lumbar spine dataset for degenerative disease. The dataset includes multisequence, multiplanar MRI scans from 2697 patients through contributions from eight institutions across six countries and five continents.

Fields of Study & Subjects

Medical Imaging and Analysis Spine and Intervertebral Disc Pathology Scoliosis diagnosis and treatment

Publication details

Journal / source
Radiology Artificial Intelligence
Publisher
Radiological Society of North America (RSNA)
Volume
8
Issue
2
Pages
e250480–e250480
Publication date
14 January 2026
Language
EN