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Chalian, Majid

https://orcid.org/0000-0001-8400-1593

Mayo Clinic

University of Washington

Citations 4

Standardized Knee Meniscus MRI Reporting: An Interdisciplinary Delphi Consensus
Nguyen, Jie C. , Patel, Vandan , Abrams, Geoffrey D. , Alaia, Erin F. , Casagranda, Bethany, Chalian, Majid , Chang, Eric Y. , Crepeau, Allison E. , Davis, Kirkland W. , Farrow, Lutul D. , Flemming, Donald J. , Fritz, Russell C. , Ganley, Theodore J., Gorbachova, Tetyana , Kani, Kimia Khalatbari , Krych, Aaron J., Lawrence, J Todd R, Mills, Megan K. , Mitchell, Brendon C., Palmer, William, Saluan, Paul, Shea, K W, Sheean, Andrew J., Kd, Spindler, Stevens, Kathryn J. , Weaver, Jennifer S. , Winalski, Carl S. , Zoga, Adam C. , Boutin, Robert D. , Shea, Kevin G. , Flemming, Donald , Flores, Dyan V , Fritz, Russell C , Gorbachova, Tetyana , Guermazi, Ali , Kani, Kimia K , Link, Thomas M , Mills, Megan K , Mitchell, Brendon C , Rubin, David A , Saluan, Paul M , Stevens, Kathryn J , Weaver, Jennifer S , Winalski, Carl S , Zoga, Adam C , Boutin, Robert D , Chang, Eric Y , Nguyen, Jie C. , Ganley, Theodore J. , Krych, Aaron J. , Lawrence, John Todd R. , Link, Thomas M. , Palmer, William E. , Sheean, Andrew J.

Radiology | June 23, 2026 | Volume: 319 | Issue: 3 | Pages: No page available

10.1148/radiol.251833 Get It

Through a Delphi process, all 33 panelists reached consensus on topics relating to MRI reporting of knee meniscus lesions, demonstrating that interdisciplinary and multi-institutional standardization is possible.
Soft Tissue-RADS: An ACR Work-in-Progress Framework for Standardized Reporting of Soft-Tissue Lesions on MRI
Rehman, M. Atiq U, Motamedi, Kambiz , Wu, Jim S. , Samet, Jonathan, Ramachandran, Shyam , Havranek, Madison, Fanburg–Smith, Julie C. , Choi, Edwin, Murphey, Mark D. , Chhabra, Avneesh B. , Garner, Hillary W. , Chalian, Majid , Subhawong, Ty K. , Ahlawat, Shivani , Amini, Behrang , Bajaj, Gitanjali , Samet, Jonathan, Ramachandran, Shyam, Havranek, Madison, Xi, Yin , Choi, Edwin, Morris, Carol D.

American Journal of Roentgenology | November 26, 2025 | Volume: 226 | Issue: 3 | Pages: No page available

10.2214/ajr.25.34013 Get It

Multisystem Imaging Manifestations of Kidney Failure
Suman, Garima , Vijay, Kanupriya , Venugopal, Nitin , Mansoori, Bahar , Agarwal, Amit , Rajiah, Prabhakar , Vijay, Kanupriya , Venugopal, Nitin , Mansoori, Bahar , Chalian, Majid , Agarwal, Amit Kumar , Rajiah, Prabhakar

RadioGraphics | July 25, 2024 | Volume: 44 | Issue: 8 | Pages: No page available

10.1148/rg.230124 Get It

Articular Findings on Chest Computed Tomography: An Algorithmic Approach for Radiologists
Mansoori, Bahar , Kosaraju, Vijaya, Yoon, James, Zadeh, Firoozeh Shomal , Vo, Kiet V. , Shafiei, Mehrzad , Rajiah, Prabhakar , Rajiah, Prabhakar , Chalian, Hamid , Chalian, Majid

Journal of Computer Assisted Tomography | September 2, 2022 | Volume: 46 | Issue: 6 | Pages: 914-922

10.1097/rct.0000000000001364 Get It

Abstract Chest computed tomography (CT) is one of the most frequently performed imaging studies. Incidental osseous and articular findings are commonly encountered in chest CTs in daily practice. The spectrum of findings is broad, varying from benign to malignant, and interpretation of these incidental musculoskeletal findings could be challenging for radiologists. In this review, we provide a systematic algorithmic approach for the diagnosis of common articular findings seen on chest CT with recommendations for appropriate follow-up evaluation.