Casey P. Johnson1,2, Erick O. Buko1,2, Suhail Parvaze1,2, Douglas Albrecht1, Alaina L. Falck1, Alexandra R. Armstrong1, Jennifer C. Laine3,4, and Ferenc Toth1
1Department of Veterinary Clinical Sciences, University of Minnesota, Saint Paul, MN, United States, 2Center for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, United States, 3Gillette Children's Specialty Healthcare, Saint Paul, MN, United States, 4Department of Orthopedic Surgery, University of Minnesota, Minneapolis, MN, United States
Synopsis
Keywords: Bone, Ischemia
Motivation: Relaxation time mapping may be clinically useful to inform the severity of ischemic injury to bone marrow in osteonecrosis of the femoral head.
Goal(s): To compare the temporal response of T2, adiabatic T1ρ, and adiabatic T2ρ mapping to acute ischemic injury to the femoral head.
Approach: 24 piglets were imaged using 3D relaxation time mapping at 3T MRI before and after surgical induction of unilateral femoral head ischemia. Corresponding cellular changes were evaluated histologically.
Results: T2 and adiabatic T2ρ were the most sensitive in detecting acute injury to the femoral head, as early as 24 hours after onset of ischemia.
Impact: T2 and/or adiabatic T2ρ relaxation time mapping can
potentially address a clinical need for a non-contrast-enhanced imaging
technique to establish the severity and extent of bone marrow necrosis in the
earliest stages of osteonecrosis of the femoral head.
Introduction
Quantitative T2, T1ρ, adiabatic T1ρ (aT1ρ),
and adiabatic T2ρ (aT2ρ) relaxation time mappings have recently been shown to be
sensitive in detecting ischemic injury to the bone marrow and cartilage of the
femoral head in a piglet model of Legg-Calvé-Perthes disease (LCPD).1-5 LCPD is a childhood
hip disorder involving ischemic necrosis of the femoral head, which can lead to
its deformation and early onset of hip osteoarthritis.6 Relaxation time
mapping techniques may be clinically useful to evaluate early-stage LCPD (and osteonecrosis
in general), including informing the severity and extent of ischemic injury and
monitoring disease progression and the efficacy of treatments. These methods
have been previously studied in the LCPD piglet model in vivo 7 days
after onset of ischemia.4,5
The purpose of the current study was to compare the sensitivities of T2,
aT1ρ, and aT2ρ mapping
to detect acute injury to bone marrow 0 to 14 days after onset of ischemia in
the LCPD piglet model. This study expands upon prior work by assessing the
temporal response of the relaxation times to acute ischemia in piglets imaged
both pre- and post-operatively with histological validation to identify cellular
changes driving the relaxation time sensitivities.Methods
Animal Model: This study was approved by our institution’s IACUC.
24 piglets (12 male, 12 female) underwent surgery at six weeks of age to induce
complete (100%) unilateral femoral head ischemia.7
The piglets were imaged in vivo at 3T MRI immediately before surgery and
then either 0 (2hr), 1 (24hr), 2 (48hr), 4 (96hr), 7 (168hr), or 14 (336hr)
days following onset of ischemia (n=4 piglets/timepoint). Piglets were euthanized
following the post-operative MRI exam, and their femoral heads were harvested
for histological evaluation.
In Vivo 3T MRI: The bilateral
hips of the piglets were imaged using a Siemens Prisma 3T MRI scanner and flex
receiver arrays. The imaging protocol (Table 1) included: (i) 3D DESS morphological imaging for
segmentation; and (ii) quantitative T2, aT1ρ, and aT2ρ mapping
using a 3D magnetization-prepared SPACE sequence. Gadolinium contrast-enhanced
MRI (acquired post-operatively) confirmed the successful induction of complete
femoral head ischemia.
Histology: Femoral
head specimens were bisected along the coronal plane, fixed, decalcified, and
processed for H&E and caspase-3 IHC staining. The histological sections
were evaluated to determine the severity of injury to the bone marrow and bone
cells.
Data Analysis: The relaxation time maps were generated offline
using MATLAB and denoised using TNORDIC.8 The secondary ossification center (SOC: the
region of trabecular bone and bone marrow of the femoral head) was manually
segmented for each hip on the 3D DESS images using ITK-SNAP. The complete SOC
region of interest (ROI) was then subdivided into central (mature bone) and
peripheral (new bone) subregions, which have been shown to have different responses
to early ischemic injury.5
The quantitative maps were spatially co-registered to the 3D DESS images, and
the segmentation masks were applied to calculate the median T2, aT1ρ, and
aT2ρ values in each 3D ROI. Differences in ROI values
were then compared between the pairs of post- and pre-operative scans for the
ischemic femoral head of each piglet.Results
Quantitative results are summarized in Table 2, and comparisons of
the percent change in relaxation times are plotted in Figure 1. There was little change immediately
following onset of ischemia (0 days). In the peripheral SOC, the relaxation
times sharply increased at 1 day and reached a maximum at 2 days, whereas the
increase was more gradual in the central SOC. T2 and aT2ρ had a similar response to acute
ischemic injury, whereas aT1ρ had a more muted response and peaked at 1
day. Representative T2 maps are shown in Figure 2, and representative caspase-3-stained
photomicrographs are shown in Figure
3.Discussion
This study further validates the sensitivities of T2, aT1ρ, and aT2ρ
relaxation time mappings in detecting ischemic injury to bone marrow, and it
provides new insights into their unique contrast mechanisms. While all three
relaxation times were sensitive to the onset of necrotic cell death at 1-day
post-op (e.g., due to cell swelling), T2 and aT2ρ had greater sensitivity starting at
2 days post-op in detecting ongoing cellular disintegration (e.g., more extensive
cell death and breakdown of cell membranes). As cells continued to break down
from 4 to 14 days post-op, T2 had a greater response than aT2ρ. The relaxation
time changes were more pronounced in the peripheral vs. central subregions of
the SOC, likely a consequence of greater susceptibility to ischemic injury in
the more vascularized, cellular, hematopoietic, and metabolically active
peripheral region.Acknowledgements
This
study was supported by the National Institutes of Health (R01AR081877, R56AR078315,
and P41EB027061). The content is solely the responsibility of the authors and
does not necessarily represent the official views of the National Institutes of
Health. We thank the staff of the University of Minnesota’s Clinical
Investigation Center, Comparative Pathology Shared Resource, and Center for
Magnetic Resonance Research for their assistance.References
1. Johnson CP, Wang L, Tóth
F, Aruwajoye O, Carlson CS, Kim HK, Ellermann JM. Quantitative MRI helps to
detect hip ischemia: preclinical model of Legg-Calvé-Perthes disease. Radiology 2018; 289(2):386-395.
2. Johnson CP, Tóth F, Carlson CS, Armstrong AR, Zbýň Š, Wu B, Ellermann JM,
Kim HKW. T1ρ and T2 mapping detect acute ischemic injury in a piglet model of
Legg-Calvé-Perthes disease. J Orthop Res 2022; 40(2):484-494.
3. Armstrong AR, Bhave S, Buko EO, Chase KL,
Tóth F, Carlson CS, Ellermann JM, Kim HKW, Johnson CP. Quantitative T2 and T1ρ
mapping are sensitive to ischemic injury to the epiphyseal cartilage in an in
vivo piglet model of Legg-Calvé-Perthes disease. Osteoarthritis Cartilage
2022; 30(9):1244-1253.
4. Johnson CP, Bhave S, Armstrong AR, Tóth F. Utility
of adiabatic T1ρ and T2ρ mapping to detect ischemic injury to the femoral head:
an in vivo piglet model study at 3T MRI. Proc ISMRM 2021
(Virtual); No. 0154.
5. Buko EO, Albrecht D, Armstrong AR, Toth F, Johnson CP. 3D T2 and T1ρ
mapping of ischemic injury to the femoral head: an in vivo piglet model study. Proc
ISMRM 2023 (Toronto); No. 4532.
6. Kim HK. Pathophysiology
and new strategies for the treatment of Legg-Calve-Perthes disease. J Bone Joint Surg Am 2020; 94:659-669.
7. Kim HK, Su PH.
Development of flattening and apparent fragmentation following ischemic
necrosis of the capital femoral epiphysis in a piglet model. J Bone Joint Surg Am 2002; 84-A(8):1329-34.
8. Moeller S, Johnson CP, Buko EO, Toth F,
Metzger G, Mangia S, Michaeli S, Ponticorvo S, Canna A, Ugurbil K, Akcakaya M.
Locally low-rank denoising in transform domains. Proc ISMRM 2023
(Toronto); No. 1108.