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Chalian, Majid

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

A5016174233 | I201448701

Mayo Clinic

University of Washington

Citations 4

Standardized Knee Meniscus MRI Reporting: An Interdisciplinary Delphi Consensus

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

10.1148/radiol.251833 | PMID 42334355

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

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

10.2214/ajr.25.34013 | PMID 41296918

Multisystem Imaging Manifestations of Kidney Failure

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

10.1148/rg.230124 | PMID 39052499

Articular Findings on Chest Computed Tomography: An Algorithmic Approach for Radiologists

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

10.1097/rct.0000000000001364 | PMID 36055107

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.