Automated Greulich–Pyle bone age determination in children with chronic kidney disease

Nüsken, Eva; Nüsken, Kai-Dietrich; Körber, Friederike; Mentzel, Hans‐Joachim; Peitz, Joachim; Bald, Martin; John, U; Klaus, Günter; Konrad, Martin; Pape, Lars; Tönshoff, Burkhard; Martin, David; Weber, Lutz T.; Dötsch, Jörg

doi:10.1007/s00467-015-3042-5

Cited by 12 publications

(8 citation statements)

References 17 publications

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“…Furthurmore, we utilized BoneXpert, a reliable automated bone age analysis software. (Nusken et al, ; van Rijn, Lequin, & Thodberg, ). Our data suggest that bone age is not always delayed in SOFT syndrome.…”

Section: Discussionmentioning

confidence: 99%

SOFT syndrome in a patient from Chile

Saida

Silva²,

Solar³

et al. 2018

American J of Med Genetics Pt A

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SOFT syndrome (MIM614813) is an extremely rare primordial dwarfism caused by biallelic mutations in the POC1A gene. It is characterized by prenatal short stature, onychodysplasia, facial dysmorphism, hypotrichosis, and variable skeletal abnormalities including hypoplastic pelvis and sacrum, small hands, and cone‐shaped epiphyses, as well as delayed bone age. To the best of our knowledge, only eight POC1A mutations have been reported in humans to date. We report a 7‐year‐old Chilean girl with SOFT syndrome arising from a novel POC1A mutation c. 649C>T, p.Arg217Trp. Although her clinical features were largely compatible with SOFT syndrome, hand X‐ray examinations at 3.5 and 6 years unexpectedly showed normal bone age. Automated bone age determination was performed using image analysis software, BoneXpert. This case highlights the importance of the accumulation of patients with POC1A mutations to further elucidate the detailed clinical features of SOFT syndrome.

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Section: Discussionmentioning

confidence: 99%

SOFT syndrome in a patient from Chile

Saida

Silva²,

Solar³

et al. 2018

American J of Med Genetics Pt A

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“…Bone age, BHI and BHI SDS were calculated using BoneXpert Software (BoneXpert version 2, Visiana, Holte, Denmark) as previously described by Thodberg and colleagues[ 17 ]. The method has been validated on a variety of patient groups and ethnicities [ 14 , 16 , 19 – 21 ].…”

Section: Methodsmentioning

confidence: 99%

A Piece of the Puzzle: The Bone Health Index of the BoneXpert Software Reflects Cortical Bone Mineral Density in Pediatric and Adolescent Patients

et al. 2016

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IntroductionSuspected osteopathology in chronically ill children often necessitates the assessment of bone mineral density. The most frequently used methods are dual-energy X-ray-absorption (DXA) and peripheral quantitative computed tomography (pQCT). The BoneXpert software provides an automated radiogrammatic method to assess skeletal age from digitalized X-rays of the left hand. Furthermore, the program calculates the Bone Health Index (BHI), a measure of cortical thickness and mineralization, which is obtained from indices of three metacarpal bones. In our study, we analyzed the manner in which BHI information provided by BoneXpert compares with DXA or pQCT measurements in youths.Study DesignThe BHI was retrospectively obtained using digitalized X-rays of the left hand and compared with the results of 203 corresponding DXA readings (Lunar Prodigy, GE Healthcare) of the lumbar vertebrae and femur as well as 117 pQCT readings (XCT 900, Stratec) of the distal radius.ResultsThe BHI values showed a strong positive correlation with the DXA readings at each and all lumbar vertebrae (L1 –L4: r = 0.73; P < 0.0001). The age-adjusted Z-score of L1 –L4 and the height-adjusted score showed a positive correlation with the BHI-SDS (standard deviation score, r = 0.23; P < 0.002 and r = 0.27; P < 0.001, respectively). Total bone mineral density, as assessed via pQCT, also positively correlated with the BHI (r = 0.39; P < 0.0001), but the trabecular values displayed only a weak correlation.ConclusionsThe BHI obtained using BoneXpert can be a useful parameter in the assessment of bone health in children in most cases. This technique provides observer-independent information on cortical thickness and mineralization based on X-ray imaging of the hands.

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“…It is reliable also when bone age is accelerated or retarded [7,8,12,9]. Apart from children with chronic kidney disease, in which automated BA tended to underestimate acceleration or retardation of bone age [10], this difference can be probably explained by the renal osteodystrophy in this cohort.…”

Section: Discussionmentioning

confidence: 80%

“…Recently, an automated image analysis method, BoneXpert™, has been introduced [6] and has been validated in patients with different endocrinopathies and with chronic renal failure [7][8][9][10]. BoneXpert™ uses an adopted prospective height prediction method (BX), which is an improvement and extension of the Bayley-Pinneau method (BP) [11].…”

Section: Introductionmentioning

confidence: 99%

Near Adult Heights and Predictions of Prospective Adult Heights using Automated and Conventional Greulich-Pyle Bone Age Determinations in children with chronic endocrine diseases

Choukair¹,

Hückmann²,

Mittnacht³

et al. 2021

Preprint

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Calculation of prospective adult heights (PAH) is associated with considerable bone age interrater variability. Therefore, the new PAH method based on automated bone age (BA) determination (BoneXpert™) was compared to the conventional PAH method by Bayley- Pinneau (BP) based on BA determination according to Greulich and Pyle (GP) and to observed near adult heights. Heights and near adult heights were measured in 82 patients (48 females) with chronic endocrinopathies at age of 10.45 ± 2.12 years and at time of transition to adult care (17.98 ± 3.02 years). Further, BA were assessed according to conventional GP - by three experts- and by BoneXpert™. PAH were calculated using conventional BP tables and BoneXpert™. The conventional and the automated BA determinations revealed a mean difference of 0.25 ± 0.72 years (p = 0.0027). The automated PAH by BoneXpert™ were 156.96 ± 0.86 cm in females and 171.75 ± 1.6 cm in males compared to 153.95 ± 1.12 cm in females and 169.31 ± 1.6 cm in males by conventional BP, respectively, and in comparison to near adult heights 156.38 ± 5.84 cm in females and 168.94 ± 8.18 cm in males, respectively. Conclusion: BA ratings and adult height predictions by BoneXpert™ in children with chronic endocrinopathies abolish rater dependent variability and enhance reproducibility of estimates thereby refining care in growth disorders. Conventional methods may outperform automated analyses in specific cases.

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Automated Greulich–Pyle bone age determination in children with chronic kidney disease

Abstract: BoneXpert™ allows an objective, time-saving, and in general valid bone age assessment in children with CKD. Possible underestimation of retarded or accelerated bone age should be taken into account. Validation of the BHI needs further study.

Cited by 12 publications

References 17 publications

SOFT syndrome in a patient from Chile

SOFT syndrome in a patient from Chile

A Piece of the Puzzle: The Bone Health Index of the BoneXpert Software Reflects Cortical Bone Mineral Density in Pediatric and Adolescent Patients

Near Adult Heights and Predictions of Prospective Adult Heights using Automated and Conventional Greulich-Pyle Bone Age Determinations in children with chronic endocrine diseases

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