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Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs

OBJECTIVES: Determining bone age in skeletally immature patients is critical for proper management and surgical planning. Pennock et al. recently created and validated a bone age atlas using the ossification pattern of the knee on MRI in pediatric patients, obfuscating the need for a hand radiograph...

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Autores principales: Meza, Blake, LaValva, Scott, Aoyama, Julien, DeFrancesco, Christopher, Striano, Brendan, Shea, Kevin, Nguyen, Jie, Ganley, Theodore, Carey, James
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399718/
http://dx.doi.org/10.1177/2325967120S00458
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author Meza, Blake
LaValva, Scott
Aoyama, Julien
DeFrancesco, Christopher
Striano, Brendan
Shea, Kevin
Nguyen, Jie
Ganley, Theodore
Carey, James
author_facet Meza, Blake
LaValva, Scott
Aoyama, Julien
DeFrancesco, Christopher
Striano, Brendan
Shea, Kevin
Nguyen, Jie
Ganley, Theodore
Carey, James
author_sort Meza, Blake
collection PubMed
description OBJECTIVES: Determining bone age in skeletally immature patients is critical for proper management and surgical planning. Pennock et al. recently created and validated a bone age atlas using the ossification pattern of the knee on MRI in pediatric patients, obfuscating the need for a hand radiograph and its associated cost, radiation exposure, and clinical inefficiency. This aim of this study was to create and validate a shorthand method of bone age determination using knee MRI. METHODS: We identified patients who underwent both knee MRI and hand bone age radiograph within a ninety-day period. From the findings of Pennock et al., a stepwise algorithm for predicting bone age on knee MRI was developed for males and females separately, in collaboration with a pediatric musculoskeletal radiologist. Six raters at varying levels of training used the algorithm to assign a bone age to each knee MRI. Intraclass correlation coefficient (ICC) was used to compare each rater’s predicted knee bone age to the Greulich and Pyle (G&P) hand bone age and validate the shorthand algorithm. Inter- (two-way random, absolute agreement) and intra-rater (two-way mixed, absolute agreement ) reliability were also calculated using ICC. RESULTS: Thirty-eight patients (44.7% females) underwent a knee MRI at a mean age of 12.8 years (range 9.3-15.7). The mean time between hand bone age x-ray and knee MRI was 20.2 days (range 0-88). The inter-rater reliability for the application of our shorthand algorithm was 0.81 (95% CI: 0.72 – 0.88), indicating good inter-observer agreement. The shorthand algorithm was also shown to be a reliable predictor of hand bone age across level of training, as medical students (ICC 0.77, 95% CI 0.60-0.88), residents (ICC 0.80, 95% CI 0.65-0.89), and attending physicians (ICC 0.80, 95% CI 0.63-0.89) all achieved strong correlation between predicted knee bone age and G&P hand bone age. All respondents also demonstrated consistency, with intra-rater ICCs between 0.85-0.93. CONCLUSION: This shorthand algorithm is a consistent, reliable and valid way to determine skeletal maturity using knee MRI in patients aged 10 to 15 and can be utilized across different levels of orthopaedic and radiographic expertise. We believe this method is readily applicable in a clinical setting and may reduce the need for routine hand bone age radiographs.
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spelling pubmed-73997182020-08-10 Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs Meza, Blake LaValva, Scott Aoyama, Julien DeFrancesco, Christopher Striano, Brendan Shea, Kevin Nguyen, Jie Ganley, Theodore Carey, James Orthop J Sports Med Article OBJECTIVES: Determining bone age in skeletally immature patients is critical for proper management and surgical planning. Pennock et al. recently created and validated a bone age atlas using the ossification pattern of the knee on MRI in pediatric patients, obfuscating the need for a hand radiograph and its associated cost, radiation exposure, and clinical inefficiency. This aim of this study was to create and validate a shorthand method of bone age determination using knee MRI. METHODS: We identified patients who underwent both knee MRI and hand bone age radiograph within a ninety-day period. From the findings of Pennock et al., a stepwise algorithm for predicting bone age on knee MRI was developed for males and females separately, in collaboration with a pediatric musculoskeletal radiologist. Six raters at varying levels of training used the algorithm to assign a bone age to each knee MRI. Intraclass correlation coefficient (ICC) was used to compare each rater’s predicted knee bone age to the Greulich and Pyle (G&P) hand bone age and validate the shorthand algorithm. Inter- (two-way random, absolute agreement) and intra-rater (two-way mixed, absolute agreement ) reliability were also calculated using ICC. RESULTS: Thirty-eight patients (44.7% females) underwent a knee MRI at a mean age of 12.8 years (range 9.3-15.7). The mean time between hand bone age x-ray and knee MRI was 20.2 days (range 0-88). The inter-rater reliability for the application of our shorthand algorithm was 0.81 (95% CI: 0.72 – 0.88), indicating good inter-observer agreement. The shorthand algorithm was also shown to be a reliable predictor of hand bone age across level of training, as medical students (ICC 0.77, 95% CI 0.60-0.88), residents (ICC 0.80, 95% CI 0.65-0.89), and attending physicians (ICC 0.80, 95% CI 0.63-0.89) all achieved strong correlation between predicted knee bone age and G&P hand bone age. All respondents also demonstrated consistency, with intra-rater ICCs between 0.85-0.93. CONCLUSION: This shorthand algorithm is a consistent, reliable and valid way to determine skeletal maturity using knee MRI in patients aged 10 to 15 and can be utilized across different levels of orthopaedic and radiographic expertise. We believe this method is readily applicable in a clinical setting and may reduce the need for routine hand bone age radiographs. SAGE Publications 2020-07-31 /pmc/articles/PMC7399718/ http://dx.doi.org/10.1177/2325967120S00458 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by-nc-nd/4.0/ This open-access article is published and distributed under the Creative Commons Attribution - NonCommercial - No Derivatives License (https://creativecommons.org/licenses/by-nc-nd/4.0/), which permits the noncommercial use, distribution, and reproduction of the article in any medium, provided the original author and source are credited. You may not alter, transform, or build upon this article without the permission of the Author(s). For article reuse guidelines, please visit SAGE’s website at http://www.sagepub.com/journals-permissions.
spellingShingle Article
Meza, Blake
LaValva, Scott
Aoyama, Julien
DeFrancesco, Christopher
Striano, Brendan
Shea, Kevin
Nguyen, Jie
Ganley, Theodore
Carey, James
Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs
title Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs
title_full Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs
title_fullStr Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs
title_full_unstemmed Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs
title_short Knee Bone Age using MRI: Validation of a Novel Method to Reduce Hand Bone Age Radiographs
title_sort knee bone age using mri: validation of a novel method to reduce hand bone age radiographs
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7399718/
http://dx.doi.org/10.1177/2325967120S00458
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