Accepted Manuscript Title: Validation of a new computer-assisted tool to measure spino-pelvic parameters Author: Renaud Lafage, Emmanuelle Ferrero, Jensen K. Henry, Vincent Challier, Bassel Diebo, Barthelemy Liabaud, Virginie Lafage, Frank Schwab PII: DOI: Reference:
S1529-9430(15)01373-X http://dx.doi.org/doi: 10.1016/j.spinee.2015.08.067 SPINEE 56564
To appear in:
The Spine Journal
Received date: Revised date: Accepted date:
6-5-2015 19-8-2015 27-8-2015
Please cite this article as: Renaud Lafage, Emmanuelle Ferrero, Jensen K. Henry, Vincent Challier, Bassel Diebo, Barthelemy Liabaud, Virginie Lafage, Frank Schwab, Validation of a new computer-assisted tool to measure spino-pelvic parameters, The Spine Journal (2015), http://dx.doi.org/doi: 10.1016/j.spinee.2015.08.067. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
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Title: Validation of a new computer-assisted tool to measure spino-pelvic parameters
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Authors: Renaud Lafage, MS1; Emmanuelle Ferrero, MD1; Jensen K. Henry, BA1; Vincent
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Challier, MD1; Bassel Diebo, MD1; Barthelemy Liabaud, MD1; Virginie Lafage, PhD1; Frank
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Schwab, MD1
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Affiliations:
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1. NYU Hospital for Joint Diseases; Department of Orthopaedic Surgery; New York; NY
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Corresponding Author:
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Virginie Lafage, PhD
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306 East 15th Street, 1F
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New York NY 10003
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Phone: (646) 794-8643
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Fax: (646) 602-6926
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Cell: (646) 912-5820
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ABSTRACT
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Background Context: Evaluation of sagittal alignment is essential in the operative treatment of
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spine pathology, particularly adult spinal deformity (ASD). However, software applications for
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detailed spino-pelvic analysis are usually complex and not applicable to routine clinical use 1 Page 1 of 23
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Purpose: To validate a new clinician-friendly software (Surgimap) in the setting of ASD.
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Study Design/Setting: Accuracy and inter- and intra-rater reliability of a spine measurement
3
software. Five users (2 experienced –spine surgeon, 3 novice – spine researched fellow)
4
independently performed each part of the study in two rounds with one week between
5
measurements.
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Patient Sample: 50 ASD patients drawn from a prospective database.
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Outcome Measures: Spinal, pelvic, and cervical measurements parameters (including pelvic tilt
8
[PT], pelvic incidence [PI], lumbar-pelvic mismatch [PI-LL], lumbar lordosis [LL], thoracic
9
kyphosis [TK], T1 spino-pelvic inclination [T1SPI], sagittal vertical axis [SVA], cervical
10
lordosis [CL]).
11
Methods: For the accuracy evaluation, 30 ASD patient radiographs were pre-marked for
12
anatomic landmarks. Each radiograph was measured twice with the new software (Surgimap);
13
measurements were compared to those from a previously validated software. For the reliability
14
and reproducibility evaluation, users measured 50 unmarked ASD radiographs in two rounds.
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Intra-class correlation (ICC) and International Standardization Organization (ISO)
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reproducibility values were calculated. Measurement time was recorded.
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Results: Surgimap demonstrated excellent accuracy as assessed by the mean absolute difference
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from validated measurements: PT 0.12°, PI 0.35°, LL 0.58°, PI-LL 0.46°, TK 5.25°, T1SPI
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0.53°, SVA 2.04mm. The inter- and intra-observer reliability analysis revealed good to excellent
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agreement for all parameters. The mean difference between rounds was <0.4° for PT, PI, LL, PI-
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LL, and T1SPI and <0.3mm for SVA. For PT, PI, LL, PI-LL, TK, T1SPI, and SVA, the intra-
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observer ICC values were all >0.93 and the inter-observer ICC were all >0.87. Parameters based
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on point landmarks rather than endplate orientation had a better reliability (ICC≥0.95 vs.
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ICC≥0.84). The average time needed to perform a full spino-pelvic analysis with Surgimap was
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75 seconds (+25).
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Conclusions: Using this new software tool, a simple method for full spine analysis can be
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performed quickly, accurately, and reliably. The proposed list of parameters offers quantitative
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values of the spine and pelvis, setting the stage for proper pre-operative planning. The new
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software tool provides an important bridge between clinical and research needs.
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Keywords: computerized measurement; spino-pelvic alignment; spinal deformity; reliability;
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accuracy; reproducibility
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INTRODUCTION
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The importance of sagittal alignment analysis in adult spinal deformity (ASD) has long been
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emphasized 1, and numerous studies have reported the deleterious impact of spino-pelvic
5
malalignment on patient-reported outcomes
6
an essential tool in treatment planning for ASD and can be used to calculate the correction
7
needed 4–6; inadequate treatment can result in poor post-operative alignment and patient-reported
8
outcomes 7,8.
2,3
. Accurate sagittal alignment analysis has become
9 10
Despite its importance, analysis of the sagittal plane and individualized surgical planning can be
11
an arduous practice. In response, dedicated software has emerged to simplify sagittal plane
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assessment. Multiple forms of digital measurement software have been shown to be faster, more
13
accurate, more precise, and less variable than manual techniques
14
measurements provide a step forward in sagittal spino-pelvic evaluation, but their application
15
remains largely
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importance of such software, less than half regularly use software to analyze and plan sagittal
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realignment procedures 11.
9,10
. These computer-based
limited to research: though nearly 90% of spine surgeons recognize the
18 19
Realistically, even with computerized software, the process of spino-pelvic analysis on
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radiographs has until recently involved several complex steps and many current software
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applications are considered time-consuming, technically demanding, and unpractical. Most
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existing dedicated spine software programs require extensive measurements in order to generate
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spino-pelvic parameter values12,13. In one such case, the user must identify the femoral heads and
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the superior and inferior endplates of every single vertebra in the spine in order to generate 4 Page 4 of 23
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measurements; in addition, such programs have complicated interfaces and are often limited to
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the computers in which they are installed. As a result, these programs are used primarily in the
3
research realm, but are difficult to implement for routine clinical use.
4 5
Surgimap (Nemaris Inc., New York, NY) is a dedicated spine measurement and surgical
6
planning software that was developed to be applicable in both the research and the clinical
7
realms14. Within one application, users can upload images and use a variety of tools for
8
measuring coronal and sagittal radiographs. By identifying key parameters on the radiograph
9
with 11 cursor clicks, an entire collection of spino-pelvic parameters can be automatically and
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instantaneously generated. Parameters can be modified, shown to patients, and saved by the
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clinician for future analysis. Finally, Surgimap can be run from either the desktop or a portable
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storage device (such as a universal serial bus [USB]), allowing the entire database of images and
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measurements to be carried with the physician to the office, the operating room, or any other
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location, without the need of additional software or specific operating systems. Authors have
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advocated the use of this platform based on its effective and clinically useful osteotomy
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simulations and surgical planning15. The reliability of this software has been established in a
17
recent study
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alignment tool has been incorporated into the software.
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, but since that publication, a more sophisticated, yet user-friendly sagittal
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The current study validates the accuracy and reliability of this specialized sagittal alignment tool.
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By simplifying the sagittal plane analysis, the software can provide a more efficacious and
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applicable method to routine clinical evaluation of important spino-pelvic parameters.
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MATERIALS AND METHODS
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Patient Population
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For this single-center study, subjects were selected from a database of adult spinal deformity
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(ASD) patients. Institutional review board (IRB) approval was obtained before study initiation.
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Subjects were enrolled if they were older than 18 years and met radiographic criteria for ASD:
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coronal Cobb angle >20°, sagittal vertical axis >5cm, pelvic tilt >25°, or thoracic kyphosis >60°.
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Patients were excluded if their deformity was due to malignant, neuromuscular, infectious, or
9
traumatic etiology. Both primary and revision patients undergoing surgical or non-surgical
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treatment were included.
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Image Protocol
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Each patient underwent spinal radiographic evaluation with anteroposterior and lateral views.
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Radiographs were either low dose, full-spine or full-body (head to feet) biplanar
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stereoradiographic images (EOS imaging, Paris, France) or full-spine 36-inch films. The protocol
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for image acquisition called for a weight-bearing free-standing position with arms flexed at 45˚,
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fingertips on clavicles, to avoid superimposition with the spine 17. Patients refrained from using
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assistive devices to obtain the most representative standing position. The digitally obtained
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images were recorded on a picture archiving and communication system (PACS) in digital
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imaging and communications in medicine (DICOM) format and then uploaded for measurement
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in the designated software programs.
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Sagittal Spino-Pelvic Parameters
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Spino-pelvic parameters measured are shown in Figure 1. Pelvic parameters were Pelvic
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Incidence [PI], Pelvic Tilt [PT], Sacral Slope [SS]; thoracolumbar measurements included
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Lumbar Lordosis [LL], PI-LL mismatch [PI-LL], and Thoracic kyphosis [TK, T4-T12]. Global
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alignment parameters consisted of Sagittal vertical axis [SVA], T1 spino pelvic inclination
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[T1SPi], T9 spino pelvic inclination [T9SPi], and T1 pelvic angle [TPA] 18. Cervical parameters
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included Cervical lordosis [CL], T1 slope [T1S], T1 slope -CL mismatch [TS-CL], and C2-C7
8
SVA [cSVA].
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Measurement Process
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Two software programs were used for measurements. The first, SpineView (ENSAM ParisTech,
12
Paris, France), is a validated software that requires identification of the femoral heads and
13
superior and inferior endplates of all vertebrae in the spine
14
sagittal alignment tool was employed (Figure 2). The user first outlines the femoral heads with
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two adjustable circles; second, the user marks 4 segments corresponding to 4 key vertebral
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endplates (superior S1, superior L1, superior T1, and inferior C2). Once the landmarks are
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identified, constrained spines are adjusted by the user to correctly overlay the cervical, thoracic,
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and lumbar curvatures. Spino-pelvic parameters are automatically generated by the software
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based on the demarcated landmarks and splines: direct parameters correspond to angles drawn by
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the observer (PI, PT, SS, LL, C2C7, PI-LL), while indirect parameters correspond to angles that
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the software estimates based on the splines. In the event of non-calibrated radiographs,
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calibration was performed using the length of the upper endplate of L3 as 35mm 20. The software
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allows the use to adjust for brightness, contrast, white balance and gamma level; the user can
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. For Surgimap, the specialized
7 Page 7 of 23
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also modify any of the landmarks after the endpoints and splines are placed to generate updated
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measurements.
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Surgimap Evaluation and Statistical Analysis
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Part 1: Accuracy
7
The first component of this study tested the accuracy of the Surgimap tool compared to the gold-
8
standard, SpineView (Surgiview, Paris, France)
9
the true reference values, as SpineView is currently one of the most widely used software
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. SpineView measurements were accepted as
22
10
programs in research and has shown excellent accuracy and reliability
. Thirty ASD patient
11
radiographs were selected from the ASD patient database and measured using SpineView; they
12
were then marked with key landmarks to eliminate user bias in the accuracy evaluation (Figure
13
3). Five observers (2 experienced – spine surgeon, 3 novice – spine research fellow) measured
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each radiograph in the new software twice using the provided landmarks, with one week between
15
measurements. Measurements from Surgimap and SpineView were used to calculate the mean
16
absolute difference, minimum difference, and maximum difference. Bland-Altman plots were
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constructed to assess the difference between Surgimap and SpineView for each parameter.
18 19
Part 2: Reliability
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The second component of this study used 50 unmarked EOS full-body radiographs from the
21
same ASD database. The 5 observers measured each radiograph twice with one week between
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rounds (Figure 4). Patients were deidentified and the order was randomly changed between the
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two sets of measurement. Mean values, standard deviations, and inter-observer difference were
8 Page 8 of 23
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calculated for each parameter. Inter-rater (between raters) and intra-rater (within raters)
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reliability was assessed using intra-class correlation coefficients (ICC). The ICC expresses the
3
proportion of global variability due to the subjects’ variability. The following thresholds
4
represent the quality of ICC: > 0.90, excellent; 0.71 to 0.90, good; 0.51 to 0.70, fair; 0.25 to 0.49,
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fair, and <0.25, poor.23 Inter-observer reproducibility was evaluated using the International
6
Organization for Standardization (ISO5725-2)
7
standard (5725-2) assesses trueness (the closeness of the sample mean and the accepted value)
8
and precision (the closeness of agreement between test results) to describe the accuracy of a
9
measurement method. Finally, the time required to complete each x-ray measurement was
24
, with an effect size of 1°
24
. The international
10
recorded.
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All data were statistically analyzed using SPSS (Inc. Version 20.0; Armonk, NY: IBM Corp),
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Stata software 13.0 (Statacorp, College Station, Texas), MATLAB (Version R2010a; The
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MathWorks, Inc., Natick, Massachussetts), and Excel (Microsoft Excel 2013; Redmond,
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Washington). Statistical significance was set at P<0.05.
15 16
RESULTS
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Part 1: Accuracy
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Mean values of key parameters as measured by SpineView were as follows: PT: 26.5° ± 14.3, PI:
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62.2° ± 12.3, PI–LL: 10.4° ± 28.0, and SVA: 39.8mm ± 70. Mean values for the same
21
parameters as measured by Surgimap were PT: 26.5° ± 14.3; PI: 62.0° ± 112.3 PI – LL: 10.4° ±
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27.9; SVA: 38.4mm ± 69. Mean absolute differences and standard deviations are shown in Table
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1. The minimum differences for all angular parameters was less than or equal to 0.01°. The
24
pelvic parameters (PI, SS, PT), which were directly measured by anatomic landmarks, tended to 9 Page 9 of 23
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have the smallest differences between the new software and SpineView. The largest differences
2
were in TK and the cervical parameters; excluding these, all measurements were within 1°.
3
Bland-Altman plots demonstrating the differences between the specialized software and
4
SpineView are shown in Figure 5.
5 6
Part 2: Reliability
7
Means and standard deviations for both rounds of the reliability analysis are shown in Table 2.
8
For all angular parameters excluding TK and the cervical measurements, there was less than 0.5°
9
difference between measurements. The greatest difference between Rounds 1 and 2 was in TK,
10
in which the mean difference was 2.1°. Both linear parameters (cervical SVA and SVA) had
11
mean absolute differences of less than 0.5 millimeters.
12 13
Inter- and intra-observer reliability analyses revealed good (ICC>0.7) or excellent agreement
14
(ICC >0.9) for all parameters (Table 3). All intra-observer ICC values were >0.9 (excellent),
15
except T1 slope and the related parameter T1S-CL. Intra-observer agreement was highest for the
16
global alignment parameters (ICC > 0.970) and the three pelvic parameters (ICC >0.940). Inter-
17
observer reliability was also excellent for all parameters (ICC>0.799), with highest values for
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global parameters and lowest for cervical measurements. Inter-observer agreement was modestly
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lower for parameters based on endplate orientation (SS, LL, TK, CL; ICC > 0.840) than
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parameters based on endpoints and angles (PT, T1SPi, T9SPi, TPA; ICC > 0.970).
21 22
Inter-observer reproducibility is also shown in Table 3. Angular global alignment parameters had
23
excellent reproducibility, as shown by values of less than 2° (TPA, T1SPI, T9SPI). Pelvic
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parameter reproducibility values (all <4°) were lower than those for thoracolumbar and cervical
2
parameters (4-6.5°). Reproducibility for both cSVA and SVA was <5mm. Finally, the average
3
time needed to perform a full spino-pelvic analysis in Surgimap was 75 seconds (+25).
4 5 6
DISCUSSION
7 8
Sagittal plane analysis is critical in the evaluation and treatment of spinal pathology, as well as
9
the assessment of post-operative alignment success. Radiographic evaluation is crucial, as
10
radiographic measurements usually correlate well with patient-reported outcomes 25. While most
11
providers appreciate the importance of radiographic evaluation, there is still a gap between the
12
awareness of its utility and the use of it in daily practice. One of the main limitations of spine
13
measurement software is the practicality of software and the time spent placing measurements on
14
images for each patient. While previous digital measurement techniques have been validated
15
19,21
16
identification of anatomic landmarks. Thus, the need for a clinically relevant and efficient spine
17
measurement software is evident.
, they are often cumbersome, incorporating difficult user interfaces and requiring extensive
18 19
Several studies have assessed the reliability and accuracy of computer-based radiographic
20
measurements, but using only healthy or asymptomatic subjects 26. Similarly, many authors have
21
assessed measurement reliability, yet only in the coronal plane (i.e. Cobb angle), as this was one
22
of the first parameters used to assess spinal deformity
23
digitized radiographs are not susceptible to the sources of error inherent to manual methods,
24
such as physical irregularities in protractor, wide-diameter markings, and inconsistencies the
23,27
. Early studies have noted that
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type of protractor or marker used 27. Further studies found that digitized software programs were
2
also superior to manual methods in sagittal plane measurements, noting their accuracy, reduced
3
inter- and intra-observer variability, and faster measurement time, even among experienced
4
spinal surgeons
5
used in the current study (identification of 12 anatomic landmarks used to generate spino-pelvic
6
parameters) had superior reproducibility and repeatability when compared to paper
7
measurements
8
Similarly, previous versions of Surgimap have been validated in studies, but have not
9
incorporated the new innovative sagittal alignment tool.16
21
12
. Recently, Maillot et al reported a software program similar to the platform
. However, this study did not include an evaluation of the software’s accuracy.
10 11
Despite the growing body of research supporting sagittal plane analysis, there is a need for
12
greater clinical applicability of tools, as many spine surgeons admit that while recognizing the
13
importance of dedicated software, they do not regularly use it in clinical practice
14
specialized software in this study provides a clinician-friendly interface with instructions and
15
graphical representations of each measurement method. Schwab et al utilized the software to
16
emphasize the importance of the pelvis in the sagittal plane
17
used this tool to analyze focal, regional and global measurements in the coronal and sagittal
18
plane
19
individual parameters such as coronal Cobb angle, TK, LL, PI, SS and PT
20
Alba et al confirmed the excellent inter- and intra-observer reliability of this software in specific
21
pelvic measurements (PI, SS, PT) 32.
8,29,30
28
11
. The
. Subsequently, numerous studies
. Reliability and reproducibility of this software platform has been demonstrated for 31
. More recently,
22
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This study introduces a new comprehensive sagittal alignment tool to provide a bridge between
2
clinical and research needs. The tool allows Surgimap to be immensely time-efficient; the
3
average time needed to generate a complete measurement of the spine from one radiograph was
4
little more than one minute (75 seconds). Comparison with the gold standard was not possible
5
due to the absence of this information. Estimates based on user experiences at our institution
6
revealed an average time of 3 to 15 minutes to generate the list of parameters, depending of the
7
degree of experience and the complexity of the analysis. Furthermore, the proposed list of
8
parameters is not exhaustive, but offers quantitative values of the spine (including the cervical
9
region) and pelvis. This combination of factors provides a novel and practical tool for physicians,
10
setting the stage for improved analysis and pre-operative planning.
11 12
The current study assessed the accuracy of the new sagittal alignment measurement tool by using
13
a validated software (SpineView) as the basis for reference values
14
measurement error between the old and new software tools: the mean error for indirect
15
parameters (LL, TK, T9SPi) was only modestly larger (0.53-5.25°) than that of the direct
16
parameters, and the mean error for direct parameters PT, PI, and PI-LL was consistently <0.5°.
19,21
. There was minimal
17 18
Intra- and inter-observer reliability analyses using ICC revealed excellent agreement for all
19
parameters. Previous authors have reported that endplate measurements are less reliable than
20
point measurements 33. Accordingly, in the current study, the T1SPi, T9SPi, and PT angles were
21
the most repeatable, with values ≥0.98. Other studies in the literature have reported intra-
22
observer reliability between 0.96-0.98 for computerized measurements of coronal Cobb angles27.
13 Page 13 of 23
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The software also demonstrated excellent inter-observer reproducibility, as demonstrated by the
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ICC values between 0.799-0.995 and small ISO reproducibility values. The lowest inter-class
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ICC value occurred when observers measured regional cervical alignment (T1-CL).This result
4
can be explained by the curved shape of the cervical endplates: in order to interpolate the curved
5
shape of the inferior endplate of C2, the user must use an approximate straight line. An error of
6
measurement in C2 Slope impact directly the cervical lordosis (CL), and thus the T1 Slope minus
7
CL parameter. Point measurements and angles (T1SPi, T9SPi, TPA; pelvic parameters)
8
demonstrated minimal variability (less than 2° for global alignment parameters and less than 4°
9
for pelvic parameters). Variability was moderately higher for curves, but still less than 7°.
10
Comparatively, Vidal et al and Ilharreborde et al reported maximal inter-observer variability
11
values of 5°, though their studies focused on sagittal cervical alignment in adolescent idiopathic
12
scoliosis (AIS)
13
adult patients with ASD and assessed different radiologic parameters from the cervical, thoracic,
14
lumbar, sacral, and pelvic regions that correlate with clinical outcomes. Thus, both the accuracy
15
and reliability of this software were confirmed in multiple measurements in a symptomatic
16
population.
9,34
. This study analyzed two-dimensional parameters of EOS radiographs from
17 18
Some limitations of this study should be noted. The experience of the observers and the quality
19
of the radiographs were not taken into account. Radiograph quality and observer experience both
20
represent factors that should have the effect to diminish inter-observer reliability. However,
21
Segev et al noted no significant effect of expertise level on the digital measurement of various
22
pediatric orthopaedic parameters, remarking that a software with clear graphics and depictions of
23
tools allows users of all skill levels to accurately identify anatomical landmarks
35
. Yet by
14 Page 14 of 23
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choosing radiographs of variable quality and users of different experiences, this study
2
emphasizes the broad clinical utility of the software in an applicable patient population.
3 4 5
CONCLUSION
6 7
Findings from this study demonstrate the accuracy, intra- and inter-observer reliability, and
8
efficacy of a spine measurement software tool. While measurements based on points were more
9
reliable than endplate angle parameters, all parameters showed good to excellent validity and
10
reliability. The software allows for measurement of radiographs with ease and speed, providing a
11
vast array of opportunities for assessment of spinal pathology for physicians and researchers
12
alike. Thus, the current tool will help promote the clinical application of sagittal plane spino-
13
pelvic analysis, and fills the gap between advanced research programs and routine clinical
14
practice for the care of spinal pathologies.
15 16
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Akbar M, Terran J, Ames CP, Lafage V, Schwab F. Use of Surgimap Spine in Sagittal Plane Analysis, Osteotomy Planning, and Correction Calculation. Neurosurg Clin N Am. 2013;24(2):163-172. doi:10.1016/j.nec.2012.12.007.
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Akbar M, Terran J, Ames CP, Lafage V, Schwab FJ. Use of Surgimap Spine in Sagittal Plane Analysis, Osteotomy Planning, and Correction Calculation. Neurosurg Clin N Am. 2013;24(2):163-172. doi:10.1016/j.nec.2012.12.007.
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Vila-Casademunt A, Pellisé F, Acaroglu E, et al. The reliability of sagittal pelvic parameters: the effect of lumbosacral instrumentation and measurement experience. Spine (Phila Pa 1976). 2015;40(4):E253-E258. doi:10.1097/BRS.0000000000000720.
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Faro FD, Marks MC, Pawelek J, Newton PO. Evaluation of a functional position for lateral radiograph acquisition in adolescent idiopathic scoliosis. Spine (Phila Pa 1976). 2004;29(20):2284-2289. http://www.ncbi.nlm.nih.gov/pubmed/15480143.
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Lafage V, Protopsaltis TS, Schwab FJ, et al. The T1 Pelvic Angle (TPA), a Novel Radiographic Parameter of Sagittal Deformity, Correlates Strongly with Clinical Measures of Disability. Spine J. 2013;13(9):S61. doi:10.1016/j.spinee.2013.07.173.
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Rajnics P, Pomero V, Templier A, Lavaste F, Illes T. Computer-assisted assessment of spinal sagittal plane radiographs. J Spinal Disord. 2001;14(2):135-142. doi:10.1097/00002517-200104000-00008.
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Zhou SH, McCarthy ID, McGregor a H, Coombs RR, Hughes SP. Geometrical dimensions of the lower lumbar vertebrae--analysis of data from digitised CT images. Eur Spine J. 2000;9(3):242-248. http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3611390&tool=pmcentrez&re ndertype=abstract.
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Rillardon L, Levassor N, Guigui P, et al. [Validation of a tool to measure pelvic and spinal parameters of sagittal balance]. Rev Chir Orthop Reparatrice Appar Mot. 2003;89(3):218227. http://www.ncbi.nlm.nih.gov/pubmed/12844045. Accessed September 26, 2014.
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Kim CH, Chung CK, Hong HS, Kim EH, Kim MJ, Park BJ. Validation of a simple computerized tool for measuring spinal and pelvic parameters. J Neurosurg Spine. 2012;16(2):154-162. doi:10.3171/2011.10.SPINE11367.
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Hardesty CK, Aronson J, Aronson EA, et al. Interobserver variability using a commercially available system of archived digital radiography with integrated computerassisted measurements for scoliosis Cobb angles. J Pediatr Orthop. 2013;33(2):163-169. doi:10.1097/BPO.0b013e3182770bd3.
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3 4
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1
FIGURE LEGENDS
2 3
Figure 1 (a-c). Pelvic parameters measured were PI, PT, and SS. Regional spinal parameters
4
included PI-LL mismatch, LL, and TK. Global alignment was assessed linearly by SVA and the
5
angular measurements of T1SPI, T9SPI, and TPA. Cervical parameters were comprised of T1
6
slope, C2-C7 cervical lordosis, and C2-C7 SVA.
7 8
Figure 2. Order of measurements as performed by Surgimap. Measurements are generated with a
9
total of 6 steps and can automatically generate more than 20 spino-pelvic parameters based on
10
the user-identified landmarks.
11 12
Figure 3. Sample measurement for the accuracy analysis. Radiographs were premarked with
13
anatomic landmarks, as shown by the white squares. Observers used the Surgimap software
14
sagittal alignment tool to create measurements, as shown.
15 16
Figure 4. For the inter- and intra-rater reliability portion of the analysis, observers made
17
measurements on unmarked radiographs.
18 19
Figure 5. Bland-Altman plots describing the difference between SpineView and Surgimap
20
measurements for parameters of interest (PI, PT, TK, LL, T1SPI, SVA).
21
Table 1. Differences between SpineView measurements and Surgimap.
22 Mean Absolute Mean Absolute
Minimum
Maximum
Absolute
Absolute
Parameter Difference
Diff. SD
20 Page 20 of 23
Difference
Difference
PT (°)
0.12
0.12
0.00
0.88
PI (°)
0.35
0.30
0.01
2.19
SS (°)
0.32
0.25
0.00
1.43
LL (°)
0.43
0.37
0.00
2.19
PI-LL (°)
0.35
0.36
0.00
3.87
TK (°)
5.25
4.70
0.00
14.69
T9SPI (°)
0.53
0.59
0.00
5.30
T1SPI (°)
0.14
0.10
0.00
0.41
TPA (°)
0.18
0.16
0.00
0.92
T1S (°)
0.55
0.53
0.00
2.99
CL (°)
2.28
1.66
0.01
7.81
TS-CL (°)
2.21
1.54
0.00
7.11
cSVA (mm)
4.55
7.67
0.00
42.46
SVA(mm)
2.04
2.12
0.03
23.52
1
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1 2
Table 2: Comparison of the mean values, standard deviations, and absolute difference
3
between rounds 1 and 2 of Surgimap software measurements. Key spino-pelvic parameters
4
were measured twice in 50 patients.
5
Round 1
Round 1
Round 2
Round 2
Mean
SD
Mean
SD
Parameter
Mean
Mean
Absolute
Absolute
Difference
Diff. SD
PT (°)
24.9
12.7
25.3
12.8
0.4
2.5
PI (°)
59.1
15.7
59.0
15.5
0.1
5.4
SS (°)
34.2
11.7
33.7
11.9
0.4
4.6
LL (°)
43.7
19.4
43.5
18.5
0.4
8.0
PI-LL (°)
15.0
21.4
15.5
21.2
0.4
6.4
TL (°)
9.4
28.6
9.6
27.7
0.1
6.9
TK (°)
36.1
21.2
38.2
21.0
2.1
8.4
T9SPI (°)
10.1
8.8
10.3
8.9
0.2
1.3
T1SPI (°)
1.2
8.6
1.1
8.7
0.0
0.8
TPA (°)
23.7
14.6
24.2
14.8
0.4
2.5
T1S (°)
32.0
14.6
33.0
15.1
1.1
6.8
CL (°)
8.0
15.9
8.7
16.4
0.8
7.4
C2-C7 SVA (mm)
23.6
11.8
23.6
12.0
0.4
9.5
SVA C7-S1 (mm)
52.2
67.5
51.7
66.0
0.3
5.1
6
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1
Table 3: Intra-observer and inter-observer reliability, as demonstrated by intra-class
2
correlation coefficients (ICC) on a scale of 0-1; and reproducibility (in degrees or mm) as
3
assessed by the International Standardization Organization.
4 5 Parameter
Intra-Observer ICC
Inter-Observer ICC
ISO Reproducibility
PT
0.978
0.978
1.97°
PI
0.956
0.909
3.85°
SS
0.943
0.877
3.56°
LL
0.935
0.872
5.68°
PI-LL
0.964
0.945
4.94°
TL
0.973
0.971
5.27°
TK
0.903
0.900
6.49°
T9SPI
0.975
0.984
1.04°
T1SPI
0.975
0.995
0.64°
TPA
0.981
0.986
1.97°
T1S
0.717
0.895
4.43°
CL
0.929
0.844
5.87°
TS-CL
0.694
0.799
5.06°
cSVA
0.967
0.914
4.86 mm
SVA
0.978
0.954
4.02 mm
6 7
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