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Reina, Miguel A.

Mayo Clinic

Universidad San Pablo CEU

Citations 1

Identification of the Paraneurium With 7 T MRI in Normal Nerve Anatomy and Various Nerve Pathologies
Piyawattanametha, Nontaphon , Ruiter, Godard C. W. de, Reina, Miguel A., Amrami, Kimberly K., Spinner, Robert J., Spinner, Robert J , Marek, Tomáš , Ruiter, Godard C W de, Reina, Miguel Ángel , Amrami, Kimberly K. , Spinner, Robert J.

Clinical Anatomy | February 19, 2026 | Volume: No volume available | Issue: No issue available | Pages: No page available

10.1002/ca.70095 Get It

ABSTRACT The paraneurium is a distinct connective tissue sheath that loosely envelopes the epineurium. The space between the para‐ and epineurium (the subparaneurial compartment) holds significant clinical relevance, serving as a target for deposition of regional anesthesia and a potential pathway for the pathological spread of cysts and tumors. However, visualization of the paraneurial layer, as a separate structure from the epineurium, remains challenging with conventional MRI, especially in the absence of pathology. This study evaluated the visualization of the paraneurium using ultra‐high‐field 7‐Tesla (7 T) MRI compared to conventional field strengths. We assessed normal nerve anatomy and a spectrum of pathological cases, including intraneural ganglion cysts, schwannomas, intraneural perineuriomas, and metastatic melanoma. The results demonstrated that 7 T MRI provides superior resolution and delineation of the paraneurium compared to 1.5 and 3 T systems. In normal anatomy, T1‐weighted and proton density (PD) sequences provided optimal contrast between the paraneurium and surrounding adipose tissue. In contrast, for pathological cases, T2‐weighted sequences with fat suppression were superior for depicting the paraneurium and identifying subparaneurial involvement. In conclusion, 7 T MRI offers a significant advantage in identifying the thin paraneurial layer. This capability provides valuable insights into the pathogenesis of tumor spread and holds promise for improving pre‐operative planning and clinical decision‐making in peripheral nerve pathology.