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Dedicated Spine Measurement Software Quantifies Key Spino-Pelvic Parameters More Reliably Than Traditional Picture Archiving and Communication Systems Tools.

Publication ,  Journal Article
Gupta, M; Henry, JK; Schwab, F; Klineberg, E; Smith, JS; Gum, J; Polly, DW; Liabaud, B; Diebo, BG; Hamilton, DK; Eastlack, R; Passias, PG ...
Published in: Spine (Phila Pa 1976)
January 2016

STUDY DESIGN: Measurement reliability study of adult spinal deformity (ASD) patient radiographs using intraclass correlation coefficients (ICC) and variance. OBJECTIVE: The aim of the study was to compare picture archiving and communication systems (PACS) to dedicated spine measurement software (SMS). SUMMARY OF BACKGROUND DATA: Accurate radiographic measurement of sagittal alignment is essential for evaluating ASD. PACS measurements often necessitate rudimentary techniques and estimations of anatomic landmarks and angles. Though SMS has been studied and validated, no studies directly compare PACS to SMS. METHODS: Eleven independent observers (7 spine surgeons, 4 researchers) digitally measured 20 ASD radiographs for pelvic incidence (PI), pelvic tilt (PT), lumbar lordosis (LL), PI-LL, thoracic kyphosis (TK), and sagittal vertical axis (SVA). Round 1 used PACS basic line/angle tools; Round 2 used a validated SMS that automatically calculates spino-pelvic parameters from 6 user-identified landmarks. Means, coefficient of variance (CV), and intraclass correlation coefficients (ICC) were analyzed. RESULTS: PACS measurements were significantly greater than SMS (PI, PT, PI-LL: P < 0.0001), though within clinical and measurement margins of error. Excluding TK, the variations in measurement (CV) were significantly greater for PACS (14-34%) vs. SMS (11-23%). Reliability was greater in SMS than PACS for PI, PT, PI-LL, LL, and SVA. The greatest differences in intraclass correlation coefficients (ICC) between PACS and SMS were in PI (PACS: 0.647; SMS: 0.810) and PI-LL (PACS: 0.921; SMS: 0.970). Among surgeons, the differences between PACS and SMS were augmented, and SMS had higher intraclass correlation coefficients (ICC) than PACS for all parameters (mean intraclass correlation coefficients [ICC] 0.931 vs. 0.861). Among surgeons, PI had the lowest reliability ( PACS: 0.505; SMS: 0.752) and SVA had the highest ( PACS: 0.985; SMS: 0.994). CONCLUSION: SMS provides significantly more reliable measurements than PACS, especially among surgeons. Consistent use of SMS in the evaluation and surgical planning of ASD patients appears necessary given the significant differences in values, variance, and reliability between PACS and SMS.

Duke Scholars

Published In

Spine (Phila Pa 1976)

DOI

EISSN

1528-1159

Publication Date

January 2016

Volume

41

Issue

1

Start / End Page

E22 / E27

Location

United States

Related Subject Headings

  • Spine
  • Software
  • Reproducibility of Results
  • Radiography
  • Pelvis
  • Orthopedics
  • Image Processing, Computer-Assisted
  • Humans
  • Analysis of Variance
  • 4201 Allied health and rehabilitation science
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Gupta, M., Henry, J. K., Schwab, F., Klineberg, E., Smith, J. S., Gum, J., … International Spine Study Group. (2016). Dedicated Spine Measurement Software Quantifies Key Spino-Pelvic Parameters More Reliably Than Traditional Picture Archiving and Communication Systems Tools. Spine (Phila Pa 1976), 41(1), E22–E27. https://doi.org/10.1097/BRS.0000000000001216
Gupta, Munish, Jensen K. Henry, Frank Schwab, Eric Klineberg, Justin S. Smith, Jeffrey Gum, David W. Polly, et al. “Dedicated Spine Measurement Software Quantifies Key Spino-Pelvic Parameters More Reliably Than Traditional Picture Archiving and Communication Systems Tools.Spine (Phila Pa 1976) 41, no. 1 (January 2016): E22–27. https://doi.org/10.1097/BRS.0000000000001216.
Gupta M, Henry JK, Schwab F, Klineberg E, Smith JS, Gum J, et al. Dedicated Spine Measurement Software Quantifies Key Spino-Pelvic Parameters More Reliably Than Traditional Picture Archiving and Communication Systems Tools. Spine (Phila Pa 1976). 2016 Jan;41(1):E22–7.
Gupta, Munish, et al. “Dedicated Spine Measurement Software Quantifies Key Spino-Pelvic Parameters More Reliably Than Traditional Picture Archiving and Communication Systems Tools.Spine (Phila Pa 1976), vol. 41, no. 1, Jan. 2016, pp. E22–27. Pubmed, doi:10.1097/BRS.0000000000001216.
Gupta M, Henry JK, Schwab F, Klineberg E, Smith JS, Gum J, Polly DW, Liabaud B, Diebo BG, Hamilton DK, Eastlack R, Passias PG, Burton D, Protopsaltis T, Lafage V, International Spine Study Group. Dedicated Spine Measurement Software Quantifies Key Spino-Pelvic Parameters More Reliably Than Traditional Picture Archiving and Communication Systems Tools. Spine (Phila Pa 1976). 2016 Jan;41(1):E22–E27.

Published In

Spine (Phila Pa 1976)

DOI

EISSN

1528-1159

Publication Date

January 2016

Volume

41

Issue

1

Start / End Page

E22 / E27

Location

United States

Related Subject Headings

  • Spine
  • Software
  • Reproducibility of Results
  • Radiography
  • Pelvis
  • Orthopedics
  • Image Processing, Computer-Assisted
  • Humans
  • Analysis of Variance
  • 4201 Allied health and rehabilitation science