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Relationship between the degree of subchondral collapse and articular surface irregularities in osteonecrosis of the femoral head.

Noriko YamamotoGoro MotomuraSatoshi IkemuraRyosuke YamaguchiTakeshi UtsunomiyaKoichiro KawanoMingjian XuHidenao TanakaYusuke AyabeYasuharu Nakashima
Published in: Journal of orthopaedic research : official publication of the Orthopaedic Research Society (2023)
Articular surface irregularities are often observed in collapsed femoral heads with osteonecrosis, while the effects of the degree of collapse on the articular surface are poorly understood. We first macroscopically assessed the articular surface irregularities on 2-mm coronal slices obtained using high-resolution microcomputed tomography of 76 surgically resected femoral heads with osteonecrosis. These irregularities were observed in 68/76 femoral heads, mainly at the lateral boundary of the necrotic region. The mean degree of collapse was significantly larger for femoral heads with articular surface irregularities than for those without (p < 0.0001). Receiver operating characteristic analysis showed that the cutoff value for the degree of collapse in femoral heads with articular surface irregularities at the lateral boundary was 1.1 mm. Next, for femoral heads with <3-mm collapse (n = 28), articular surface irregularities were quantitatively assessed based on the number of automatically counted negative curvature points. Quantitative evaluation showed that the degree of collapse was positively correlated with the presence of articular surface irregularities (r = 0.95, p < 0.0001). Histological examination of articular cartilage above the necrotic region (n = 8) revealed cell necrosis in the calcified layer and abnormal cellular arrangement in the deep and middle layers. In conclusion, articular surface irregularities of the necrotic femoral head depended on the degree of collapse, and articular cartilage was already altered even in the absence of macroscopically determined gross irregularities.
Keyphrases
  • high resolution
  • stem cells
  • single cell
  • mass spectrometry
  • minimally invasive
  • prognostic factors