Noam Ben-Eliezer1,2, Akio Ernesto Yoshimoto2, KAI Tobias Block1,2, Roy Davidovitch3, Thomas Youm3, Robert Meislin3, Michael Recht1,2, Daniel K Sodickson1,2, and Riccardo Lattanzi1,2
1Center for Advanced Imaging Innovation and Research (CAI2R), New York University School of Medicine, New York, NY, United States, 2Bernard and Irene Schwartz Center for Biomedical Imaging, Department of Radiology, New York University School of Medicine, New York, NY, United States, 3Department of Orthopedic Surgery, New York University Hospital for Joint Diseases, New York, NY, United States
Synopsis
Early diagnosis
of cartilage defects is critical for the success of corrective surgical
procedures in patients with femoroacetabular impingement (FAI). T2 is a biomarker for
early biochemical degeneration of cartilage, but in vivo T2 mapping
is challenging while commonly used techniques based on exponential fit of multi
spin-echo protocols are inaccurate. We used a Bloch simulation based T2 mapping
technique – the EMC algorithm – to retrospectively quantify reliable T2
values in the hip cartilage of FAI patients. We then defined a normalized T2-index
using an internal reference and showed that it allows detection of surgically confirmed
cartilage lesions with 95% accuracy.Introduction
Femoroacetabular
impingement (FAI) is a hip pathology that leads to osteoarthritis if
left untreated1. Surgical
procedures aimed at correcting the bony defects responsible for FAI are
successful only in patients with limited cartilage damage2. T2
relaxation time is a biomarker for early changes in the cartilage collagen
structure and water content3, yet quantitative
T2 mapping is highly challenging in vivo owing to the extensive scan
times of single Spin-Echo
imaging protocols and the high resolution required in order to delineate the
thin cartilage layers. Fast Multi
Spin-Echo (MSE) protocols offers clinically feasible scan durations but,
due to intrinsic scanner imperfections, their signal deviates significantly from
the theoretical exponential decay S(t)=S0exp[–t/T2 ]
and follows
instead a more generalized echo modulation curve (EMC). This results in a bias in exponentially
fitted T2
values that is, moreover not constant across different T2
distribution but rather depends on the protocol and parameter-set used. As a
result, T2 values for the same subject vary between scanners and
vendors4,5, thereby preventing the adoption of quantitative T2
as a biomarker for cartilage damage. A recently introduced method – the EMC algorithm6,7 – can overcomes these
limitations and deliver accurate and reliable maps of the true tissue T2
values that are independent of the scanner and protocol-implementation. In this work we hypothesize that quantitative
EMC-based T2 values which are normalized using an internal reference,
can enable accurate detection of surgically confirmed hip cartilage lesions in
FAI patients.
Methods
Data acquisition: retrospective analysis of 21 hips (12 left)
was performed in 20 patients (9 males) diagnosed with FAI and either torn or
detached labrum. Patients (38 ± 12 y/o) underwent pre-operative MRI at 3T after intravenous
injection of Gd-DTPA2- for indirect MR arthrography. MSE data were acquired
for either a radial or a sagittal section depicting the anterior-superior
region of the hip articular cartilage (Figure 1).
See Table 1
for a list of imaging parameters.
Surgical assessment: patients underwent routine hip
arthroscopy 53 ± 34 days
after the MRI to correct the bone defect associated with FAI. All cartilage surfaces were
evaluated, providing a ground truth for assessing the capability of the
pre-operative T2 values to detect cartilage lesions.
EMC algorithm6,7: Bloch
simulations of the MSE protocol were performed using the exact RF pulse shapes
and other experimental parameters. Simulations were repeated for a range of T2
and B1+ values (T2=1…1000ms, B1+
= 50…130 % of nominal value), producing a database of EMCs, each associated
with a unique [B1+,T2] value pair.
Reconstruction: T2 maps were generated
using (1) standard
monoexponential fit and (2)
the EMC algorithm by pixel-by-pixel matching the time-series of MSE
DICOMs to the EMC database via l2-norm minimization of the
difference between experimental and simulated EMCs.
Statistical analysis: Patient population was divided into lesion (any
chondral defect) and non-lesion subgroups, based on surgical findings. Three
regions-of-interest were segmented (Figure 2): FEM – the central portion of the femoral cartilage which is usually
healthy in early-stage FAI, ACT – denoting the weight-bearing portion of the acetabular
cartilage where lesions are typically found in FAI, and ALL – including both femoral and acetabular cartilage. For each section, a normalized T2 index was defined as T2-index=mean(T2ACT) / mean(T2FEM) in order to remove inter-patient baseline variability.
Results
Figure
3
shows representative T
2
maps illustrating the non-uniform bias that is typical to exponential fitting
and the ability of EMC to produce more faithful delineation of the
cartilage and muscle tissues. This was additionally reflected in lower intra-subject
and inter-scanner variability for EMC-based T
2 values.
Figure 4: the lesion and non-lesion patient
subgroups could be separated using both mean T
2 value within ACT (p-value=0.053) and the T
2-index
(p-value<0.001). On a patient-specific level, the EMC-based T
2-index
detected chondral lesions with 100% specificity, 92.3% sensitivity and 95.2%
accuracy. The two subgroups were not separable using exponentially fitted T
2
values.
Discussion
Previous work using
dGEMRIC had shown the benefit of using the central portion of the femoral
cartilage as a normalization reference for quantitative T
1-based
assessment of the hip cartilage in FAI
8. This study demonstrated the ability of the EMC-reconstructed
T
2-index to detect hip cartilage lesions consistently over different
protocol parameters and scanners. The higher specificity of the EMC algorithm
can thus be used to guide and improve the accuracy of pre-operative radiologic
evaluation
9,10
and
enable longitudinal, cross-platform, and multi-center clinical studies. Future
work includes assessing intra- and inter-observer variability in T
2-index
analysis, and a prospective study on a larger patient population to investigate
detection and staging of cartilage damage.
Acknowledgements
Financial support: NIH Grants: P41 EB017183; R01 EB000447. The Helen and Martin Kimmel Award
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