Shireen Elhabian

Prof. Shireen Elhabian


Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2017
Verified
Book Chapter
Closed access
JCJoshua Cates
Joshua Cates
SEShireen Elhabian
Shireen Elhabian
RWRoss Whitaker
Ross Whitaker

26 October 2021 in Medical Image Analysis
Verified
Journal Article
Closed access
AGAnupama Goparaju
Anupama Goparaju
KIKrithika Iyer
Krithika Iyer
ABAlexandre Bône
Alexandre Bône
NHNan Hu
Nan Hu
HHHeath B. Henninger
Heath B. Henninger
SEShireen Elhabian
Shireen Elhabian

31 August 2018 in Clinical Orthopaedics and Related Research
Verified
Journal Article
Closed access
PAPenny R. Bs Atkins
Penny R. Bs Atkins
YSYoungJae Shin
YoungJae Shin
PAPraful Agrawal
Praful Agrawal
SEShireen Elhabian
Shireen Elhabian
RWRoss T. Whitaker
Ross T. Whitaker
AAAndrew E. Anderson
Andrew E. Anderson
Background: Many two-dimensional (2-D) radiographic views are used to help diagnose cam femoroacetabular impingement (FAI), but there is little consensus as to which view or combination of views is most effective at visualizing the magnitude and extent of the cam lesion (ie, severity). Previous studies have used a single image from a sequence of CT or MR images to serve as a reference standard with which to evaluate the ability of 2-D radiographic views and associated measurements to describe the severity of the cam lesion. However, single images from CT or MRI data may fail to capture the apex of the cam lesion. Thus, it may be more appropriate to use measurements of three-dimensional (3-D) surface reconstructions from CT or MRI data to serve as an anatomic reference standard when evaluating radiographic views and associated measurements used in the diagnosis of cam FAI. Questions/purposes: The purpose of this study was to use digitally reconstructed radiographs and 3-D statistical shape modeling to (1) determine the correlation between 2-D radiographic measurements of cam FAI and 3-D metrics of proximal femoral shape; and 2) identify the combination of radiographic measurements from plain film projections that were most effective at predicting the 3-D shape of the proximal femur. Methods: This study leveraged previously acquired CT images of the femur from a convenience sample of 37 patients (34 males; mean age, 27 years, range, 16-47 years; mean body mass index [BMI], 24.6 kg/m2, range, 19.0-30.2 kg/m2) diagnosed with cam FAI imaged between February 2005 and January 2016. Patients were diagnosed with cam FAI based on a culmination of clinical examinations, history of hip pain, and imaging findings. The control group consisted of 59 morphologically normal control participants (36 males; mean age, 29 years, range, 15-55 years; mean BMI, 24.4 kg/m2, range, 16.3-38.6 kg/m2) imaged between April 2008 and September 2014. Of these controls, 30 were cadaveric femurs and 29 were living participants. All controls were screened for evidence of femoral deformities using radiographs. In addition, living control participants had no history of hip pain or previous surgery to the hip or lower limbs. CT images were acquired for each participant and the surface of the proximal femur was segmented and reconstructed. Surfaces were input to our statistical shape modeling pipeline, which objectively calculated 3-D shape scores that described the overall shape of the entire proximal femur and of the region of the femur where the cam lesion is typically located. Digital reconstructions for eight plain film views (AP, Meyer lateral, 45° Dunn, modified 45° Dunn, frog-leg lateral, Espié frog-leg, 90° Dunn, and cross-table lateral) were generated from CT data. For each view, measurements of the α angle and head-neck offset were obtained by two researchers (intraobserver correlation coefficients of 0.80-0.94 for the α angle and 0.42-0.80 for the head-neck offset measurements). The relationships between radiographic measurements from each view and the 3-D shape scores (for the entire proximal femur and for the region specific to the cam lesion) were assessed with linear correlation. Additionally, partial least squares regression was used to determine which combination of views and measurements was the most effective at predicting 3-D shape scores. Results: Three-dimensional shape scores were most strongly correlated with α angle on the cross-table view when considering the entire proximal femur (r = -0.568; p < 0.001) and on the Meyer lateral view when considering the region of the cam lesion (r = -0.669; p < 0.001). Partial least squares regression demonstrated that measurements from the Meyer lateral and 90° Dunn radiographs produced the optimized regression model for predicting shape scores for the proximal femur (R2 = 0.405, root mean squared error of prediction [RMSEP] = 1.549) and the region of the cam lesion (R2 = 0.525, RMSEP = 1.150). Interestingly, views with larger differences in the α angle and head-neck offset between control and cam FAI groups did not have the strongest correlations with 3-D shape. Conclusions: Considered together, radiographic measurements from the Meyer lateral and 90° Dunn views provided the most effective predictions of 3-D shape of the proximal femur and the region of the cam lesion as determined using shape modeling metrics. Clinical Relevance: Our results suggest that clinicians should consider using the Meyer lateral and 90° Dunn views to evaluate patients in whom cam FAI is suspected. However, the α angle and head-neck offset measurements from these and other plain film views could describe no more than half of the overall variation in the shape of the proximal femur and cam lesion. Thus, caution should be exercised when evaluating femoral head anatomy using the α angle and head-neck offset measurements from plain film radiographs. Given these findings, we believe there is merit in pursuing research that aims to develop the framework necessary to integrate statistical shape modeling into clinical evaluation, because this could aid in the diagnosis of cam FAI.

17 November 2023 in Medical Image Analysis
Verified
Journal Article
Closed access
RBRiddhish Bhalodia
Riddhish Bhalodia
SEShireen Elhabian
Shireen Elhabian
JAJadie Adams
Jadie Adams
WTWenzheng Tao
Wenzheng Tao
LKLadislav Kavan
Ladislav Kavan
RWRoss Whitaker
Ross Whitaker

23 November 2018
Verified
Book Chapter
Closed access
PDF file
RBRiddhish Bhalodia
Riddhish Bhalodia
SEShireen Elhabian
Shireen Elhabian
LKLadislav Kavan
Ladislav Kavan
RWRoss T. Whitaker
Ross T. Whitaker

27 October 2016 in Journal of Orthopaedic Research
Verified
Journal Article
Open access
PDF file
PAPenny R. Atkins
Penny R. Atkins
SEShireen Elhabian
Shireen Elhabian
PAPraful Agrawal
Praful Agrawal
MHMichael D. Harris
Michael D. Harris
RWRoss T. Whitaker
Ross T. Whitaker
AAAndrew E. Anderson
Andrew E. Anderson
The proximal femur is abnormally shaped in patients with cam‐type femoroacetabular impingement (FAI). Impingement may elicit bone remodeling at the proximal femur, causing increases in cortical bone thickness. We used correspondence‐based shape modeling to quantify and compare cortical thickness between cam patients and controls for the location of the cam lesion and the proximal femur. Computed tomography images were segmented for 45 controls and 28 cam‐type FAI patients. The segmentations were input to a correspondence‐based shape model to identify the region of the cam lesion. Median cortical thickness data over the region of the cam lesion and the proximal femur were compared between mixed‐gender and gender‐specific groups. Median [interquartile range] thickness was significantly greater in FAI patients than controls in the cam lesion (1.47 [0.64] vs. 1.13 [0.22] mm, respectively; p < 0.001) and proximal femur (1.28 [0.30] vs. 0.97 [0.22] mm, respectively; p < 0.001). Maximum thickness in the region of the cam lesion was more anterior and less lateral (p < 0.001) in FAI patients. Male FAI patients had increased thickness compared to male controls in the cam lesion (1.47 [0.72] vs. 1.10 [0.19] mm, respectively; p < 0.001) and proximal femur (1.25 [0.29] vs. 0.94 [0.17] mm, respectively; p < 0.001). Thickness was not significantly different between male and female controls. Clinical significance: Studies of non‐pathologic cadavers have provided guidelines regarding safe surgical resection depth for FAI patients. However, our results suggest impingement induces cortical thickening in cam patients, which may strengthen the proximal femur. Thus, these previously established guidelines may be too conservative. © 2016 Orthopaedic Research Society. Published by Wiley Periodicals, Inc. J Orthop Res 35:1743–1753, 2017.