High Validity of Measuring the Width and Volume of Medial Meniscal Extrusion Three-dimensionally Using an MRI-derived Tibial Model
Overview
Affiliations
Background: Medial meniscal extrusion (MME) is an important marker of knee osteoarthritis (KOA) progression. The purposes of this study were: 1) to determine whether there are morphological differences between CT- and MRI-derived tibial plateau models; and 2) to determine whether measurement of MME volume and width using an MRI-derived tibial model is as accurate as measurements on a CT-derived tibial model.
Methods: This was a cross-sectional study that enrolled ten participants with medial KOA (Kellgren-Lawrence grade 1 to 3). Primary outcome was surface difference of the medial tibial plateau between CT- and MRI-derived models. Furthermore, volume and cross-sectional area of the medial tibial plateau were compared between CT- and MRI-derived models. Measurements of MME volume and width were compared between CT- and MRI-derived tibial models.
Results: Minimal and maximal surface differences of the medial tibial plateau between the CT- and MRI-derived models were - 0.15 [- 0.44, 0.14] mm (mean [95% confidence interval]) and 0.24 [- 0.09, 0.57] mm, respectively. There were no significant differences in volume and cross-sectional area of the medial tibial plateau between CT- and MRI-derived tibial models. The MME volumes measured on CT- and MRI-derived models were 942.6 [597.7, 1287.6] mm and 916.2 [557.9, 1274.6] mm, respectively (p = 0.938). The MME widths measured on CT- and MRI-derived models were 4.2 [1.9, 6.5] mm and 4.5 [2.2, 6.9] mm, respectively (p = 0.967).
Conclusions: CT- and MRI-derived models of the medial tibial plateau did not show significant morphological differences. Both CT- and MRI-derived tibia can be used as a reference to measure MME in early-to-moderate medial KOA.
Watanabe S, Joseph G, Sato D, Lansdown D, Brandao Guimaraes J, Link T Am J Sports Med. 2025; 53(2):350-359.
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Chen J, Xu H, Zhou H, Wang Z, Li W, Guo J Front Surg. 2024; 11:1387351.
PMID: 39345660 PMC: 11427760. DOI: 10.3389/fsurg.2024.1387351.
Watanabe G, Hoshi K, Sadakiyo M, Sadamatsu T, Gamada K Osteoarthr Cartil Open. 2022; 2(2):100037.
PMID: 36474588 PMC: 9718334. DOI: 10.1016/j.ocarto.2020.100037.
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Florkow M, Willemsen K, Mascarenhas V, Oei E, van Stralen M, Seevinck P J Magn Reson Imaging. 2022; 56(1):11-34.
PMID: 35044717 PMC: 9305220. DOI: 10.1002/jmri.28067.