Bone Reports最新文献

{"title":"Biomechanical influence of numerical variants of lumbosacral transitional vertebra with Castellvi type I on adjacent discs and facet joints based on 3D finite element analysis","authors":"Tongxin Zhu,&nbsp;Zhangyan Xu,&nbsp;Dan Liu,&nbsp;Wei Zeng,&nbsp;Yongliang Pu,&nbsp;Haitao Yang","doi":"10.1016/j.bonr.2025.101831","DOIUrl":"10.1016/j.bonr.2025.101831","url":null,"abstract":"<div><h3>Objectives</h3><div>To investigate the effect of lumbosacral transitional vertebra (LSTV) on the biomechanical properties of adjacent discs and facet joints based on geometrically 3D personalized FEA.</div></div><div><h3>Methods</h3><div>A total of 45 individuals who underwent low dose whole body CT scans were retrospectively included and equally divided into 23, 24, and 25 presacral vertebrae (PSV) groups. Three-dimensional Finite Element computational models of normal and number-variant sub-types of LSTV were created. The biomechanical parameters, including the range of motion (ROM), the intervertebral disc pressure (IDP), and facet joint forces (FJF), were all evaluated to determine the biomechanical effects. IDP was equally divided into anterior (AIDP), middle (MIDP) and posterior (PIDP) parts along the short axis of the intervertebral disc.</div></div><div><h3>Results</h3><div>During extension, the 23 PSV group exhibited significantly higher von Meiss stress in the upper intervertebral disc compared to the 24 and 25 PSV groups (<em>P</em> = 0.003), indicating concentrated stress in the upper lumbar region and an increased the likelihood of localized disc degeneration over time. Furthermore, the 23 PSV group exhibited a larger ROM (3.28°) than the 25 PSV group (1.40°) (<em>P</em> = 0.011), implying greater segmental mobility and possible instability in the transitional segment. During flexion, the 25 PSV group showed higher stress in the lower intervertebral disc and a larger ROM than the 23 and 24 PSV groups; however, the differences were not significant (<em>P</em> &gt; 0.05).</div></div><div><h3>Conclusions</h3><div>The increased stress distribution and ROM in the upper disc of the transitional segment were only found in the 23 PSV sub-type of Castellvi type I LSTVs during extension, but not in the 25 PSV sub-type, which may help to further understand the impact of LSTV on the surrounding structures.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101831"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143480616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The association between dietary inflammatory index and bone health in US adolescents: Analysis of the NHANES data","authors":"Yuanyuan Zhang,&nbsp;Xuejing Wang,&nbsp;Shiguang Huo,&nbsp;Li Hong,&nbsp;Feifei Li","doi":"10.1016/j.bonr.2024.101823","DOIUrl":"10.1016/j.bonr.2024.101823","url":null,"abstract":"<div><h3>Introduction</h3><div>Adolescents with a lower peak bone mineral density (BMD) and bone mineral content (BMC) have an elevated risk of osteoporosis in adulthood. The impact of diet on bone health, particularly its role in managing inflammation, which is a key factor in bone health, is gaining wider recognition. Despite evidence that anti-inflammatory diets can enhance bone health, the link between the dietary inflammatory index (DII) and bone health among US adolescents has not been thoroughly investigated. This study aimed to evaluate the correlation between DII score and bone health in this population.</div></div><div><h3>Methods</h3><div>This cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) of US adolescents aged 12–18 years, spanning surveys from 2001 to 2018. The DII was derived from dietary recall data obtained through questionnaire interviews. Bone health was assessed through total body less head (TBLH) BMD and BMC z-scores and lumbar spine bone mineral apparent density for age (BMAD_a).</div></div><div><h3>Results</h3><div>The study comprised 8773 adolescents with a mean age of 14.94 ± 1.97 years, 52.2 % were male. Multivariate linear regression analysis revealed a negative correlation between DII and lumbar spine BMAD_a (β = −0.000003, 95 % confidence interval [CI], −0.000005 to −0.000001; <em>P</em> = 0.001).This significant association remained robust when DII was treated as a categorical variable. Compared with individuals in quartile 1(Q1) DII scores (−3.71 to 1.04), those in Q4 (3.37 to 5.04) had lower BMAD_a, with a regression coefficient of −0.00002 (95 % CI, −0.00003 to −0.000007, <em>P</em> &lt; 0.001). DII was negatively correlated with TBLH BMC z-scores; however, the difference was not statistically significant. Subgroup analyses showed that DII was associated with lumbar spine BMAD_a and TBLH BMC z-scores in participants who were male, non-black, with a higher educational level, with a high family income, and underweight to normal weight. We found no significant association between DII and TBLH BMD z-scores.</div></div><div><h3>Conclusion</h3><div>The findings from this cross-sectional analysis indicate a significant association between the DII and bone health among adolescents in the US, with a notable impact in males and non-black. These insights underscore the importance of adopting dietary patterns to mitigate inflammation and to support optimal bone health and metabolism.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101823"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11758120/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045638","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of stopping burosumab treatment at the end of skeletal growth in adolescents with X-linked hypophosphatemia (XLH)","authors":"Charlotte Jarvis ,&nbsp;Renuka Ramakrishnan ,&nbsp;Poonam Dharmaraj ,&nbsp;Talat Mushtaq ,&nbsp;Sanjay Gupta ,&nbsp;Angela Williams ,&nbsp;Angela J. Rylands ,&nbsp;Helen Barham ,&nbsp;Annabel Nixon ,&nbsp;Suma Uday","doi":"10.1016/j.bonr.2024.101819","DOIUrl":"10.1016/j.bonr.2024.101819","url":null,"abstract":"<div><div>Many adolescents with X-linked hypophosphatemia (XLH) currently have to stop treatment with burosumab at the end of skeletal growth. We describe the experience of a cohort of adolescents with XLH before, during, and after stopping burosumab (median treatment duration 37.5 months). Improvements in serum phosphate, pain, mobility, function, and quality of life noted during burosumab treatment were reversed after treatment cessation. Further real-world data are needed to explore the value of uninterrupted burosumab treatment in adolescents.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101819"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142722340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrating deep learning and machine learning for improved CKD-related cortical bone assessment in HRpQCT images: A pilot study","authors":"Youngjun Lee ,&nbsp;Wikum R. Bandara ,&nbsp;Sangjun Park ,&nbsp;Miran Lee ,&nbsp;Choongboem Seo ,&nbsp;Sunwoo Yang ,&nbsp;Kenneth J. Lim ,&nbsp;Sharon M. Moe ,&nbsp;Stuart J. Warden ,&nbsp;Rachel K. Surowiec","doi":"10.1016/j.bonr.2024.101821","DOIUrl":"10.1016/j.bonr.2024.101821","url":null,"abstract":"<div><div>High resolution peripheral quantitative computed tomography (HRpQCT) offers detailed bone geometry and microarchitecture assessment, including cortical porosity, but assessing chronic kidney disease (CKD) bone images remains challenging. This proof-of-concept study merges deep learning and machine learning to 1) improve automatic segmentation, particularly in cases with severe cortical porosity and trabeculated endosteal surfaces, and 2) maximize image information using machine learning feature extraction to classify CKD-related skeletal abnormalities, surpassing conventional DXA and CT measures.</div><div>We included 30 individuals (20 non-CKD, 10 stage 3 to 5D CKD) who underwent HRpQCT of the distal and diaphyseal radius and tibia and contributed data to develop and validate four different AI models for each anatomical site. Manually annotated cortical bone was used to train each segmentation deep-learning model. Textural features were extracted via Gray-Level Co-occurrence Matrix (GLCM) and classified as CKD or non-CKD using XGBoost with each segmentation model. For comparison, manufacturer-supplied segmentation was used to extract cortical geometry, microarchitecture, and finite element analysis (FEA) outcomes. Model performance was confirmed using the test dataset and a separate independent validation cohort which included HRpQCT imaging from 42 additional individuals (18 non-CKD, 24 CKD stage 5D).</div><div>For segmentation, the diaphyseal location showed strong performance on test datasets, with Mean IoUs of 0.96 and 0.95, and accuracies of 0.97 for both radius and tibia sites in CKD. Model 4 developed from the diaphyseal tibia region excelled in classifying test and independent validation datasets, achieving F1 scores of 0.99 and 0.96, AUCs of 0.99 and 0.94, sensitivities of 0.99, and specificities of 0.99 and 0.92. No single parameter, including BMD and cortical porosity, among conventional CT outcomes consistently differentiated CKD from non-CKD across all anatomical sites.</div><div>Integrating HRpQCT with deep and machine learning, this innovative approach enables precise automatic segmentation of severely deteriorated endocortical surfaces and enhances sensitivity to CKD-related cortical bone changes compared to standard DXA and HRpQCT outcomes.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101821"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11763521/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045637","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Long-term effects of infrapatellar fat pad SVF infiltration in knee osteoarthritis management: A prospective cohort study","authors":"Klaus Werner Labarre,&nbsp;Gerald Zimmermann","doi":"10.1016/j.bonr.2025.101827","DOIUrl":"10.1016/j.bonr.2025.101827","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;Knee osteoarthritis (OA) is a prevalent and debilitating condition that significantly impacts patients' quality of life and poses a substantial socioeconomic burden. Current treatments, including nonsteroidal anti-inflammatory drugs (NSAIDs) and physical therapy, often provide only temporary relief and fail to halt disease progression, particularly in advanced stages where knee replacement surgery becomes the primary option. Regenerative cell therapies, particularly those utilizing mesenchymal stem cells (MSCs), have emerged as promising alternatives due to their anti-inflammatory and regenerative properties. This study investigates the efficacy of stromal vascular fraction (SVF) derived from autologous adipose tissue when injected into the infrapatellar (Hoffa's) fat pad, an approach that leverages the rich vascular and stem cell environment of the fat pad to potentially modulate inflammation and promote tissue repair.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;Patients receiving therapy with SVF were invited to participate in the study. Inclusion criteria encompassed male and female patients aged 18 years or older with a Kellgren-Lawrence score up to 4, while exclusion criteria included malignant tumors, sepsis, or skin lesions at the site of collection or injection. A total of 25 patients were included in the study cohort, with two patients receiving bilateral treatment, resulting in 27 knees analyzed.&lt;/div&gt;&lt;div&gt;For the correlation analysis, an additional four patients who had only completed the six-month follow-up were included, one of whom underwent bilateral treatment. This extended the correlation analysis cohort to 29 patients and 32 knees. However, these four patients were excluded from the final study analysis as they had not completed the two-year follow-up. Consequently, the final analysis focused exclusively on the 25 patients (27 knees) who completed the full two-year follow-up.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Results&lt;/h3&gt;&lt;div&gt;Significant improvements were observed in VAS pain scores and KOOS subscales for pain, activities of daily living (ADL), and quality of life (QOL) at 6 and 24 months (&lt;em&gt;p&lt;/em&gt; &lt; 0.05). The correlation between the number of injected cells and functional improvements was significant for ADL at 6 months (Spearman's rho = 0.31, &lt;em&gt;p&lt;/em&gt; = 0.044). This time point was prioritized to evaluate early therapeutic responses, as it represents a critical window when cellular activity and therapeutic effects are believed to peak. Focusing on the six-month follow-up allowed for a detailed assessment of these early impacts while minimizing potential confounding factors observed in later stages. No major complications were reported.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Conclusion&lt;/h3&gt;&lt;div&gt;SVF infiltration into the infrapatellar fat pad shows promising long-term benefits in pain relief and functional improvement for knee OA patients. Despite the lack of blinding and a control group, these findings suggest that SVF therapy coul","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101827"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143158119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Corrigendum to “SERPINF1 gene variants causing late-onset progressive deforming osteogenesis imperfecta – A study of 18 patients from India” [Bone Rep. 2023 May 26;18:101690. doi: 10.1016/j.bonr.2023.101690]","authors":"Agnes Selina ,&nbsp;Madhavi Kandagaddala ,&nbsp;Vignesh Kumar ,&nbsp;Suneetha Susan Cleave Abraham ,&nbsp;Sumita Danda ,&nbsp;Vrisha Madhuri","doi":"10.1016/j.bonr.2025.101832","DOIUrl":"10.1016/j.bonr.2025.101832","url":null,"abstract":"","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101832"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143620236","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A simple and user-friendly machine learning model to detect osteoporosis in health examination populations in Southern Taiwan","authors":"Wei-Chin Huang ,&nbsp;I-Shu Chen ,&nbsp;Hsien-Chung Yu ,&nbsp;Chi-Shen Chen ,&nbsp;Fu-Zong Wu ,&nbsp;Chiao-Lin Hsu ,&nbsp;Pin-Chieh Wu","doi":"10.1016/j.bonr.2025.101826","DOIUrl":"10.1016/j.bonr.2025.101826","url":null,"abstract":"<div><h3>Background</h3><div>Osteoporosis is a growing public health concern in aging populations such as Taiwan, where limited utilization of dual-energy X-ray absorptiometry (DXA) often leads to underdiagnosis and even delayed treatment. Therefore, we leveraged machine learning (ML) and aimed to develop a simple and easily accessible model that effectively identifies individuals at high risk of osteoporosis.</div></div><div><h3>Methods</h3><div>This retrospective analysis enrolled 5510 men aged ≥50 years and 4720 postmenopausal women who underwent DXA at the Kaohsiung Veterans General Hospital, with another cohort of 610 men and 523 women for validation. We developed separate models for men and women using decision trees, random forests, support vector machines, k-nearest neighbors, extreme gradient boosting, and artificial neural networks (ANNs) to predict osteoporosis. Furthermore, we compared each model with the traditional Osteoporosis Self-Assessment Tool for Asians (OSTA) model.</div></div><div><h3>Results</h3><div>We identified age, height, weight, and BMI as variables for our prediction model and evaluated the model's performance using the area under the receiver operating characteristic curve (AUC). The ANN model significantly outperformed the OSTA model and all the other ML models for both men and women (AUC: 0.67 for men; 0.77 for women). The validation data for the ANN model showed similar AUCs for both men and women.</div></div><div><h3>Conclusion</h3><div>This study developed ML models to help identify individuals at high risk of osteoporosis in postmenopausal women and men aged ≥50 years in southern Taiwan. Our ML models, especially the ANN model, surpassed the OSTA model and consistently performed well across different populations.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101826"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11783436/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143078586","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Total talectomy and reconstruction using unrestricted 3D printed prosthesis for pediatric talus hemangioendothelioma","authors":"Yunlong Zhang,&nbsp;Zhichang Zhang","doi":"10.1016/j.bonr.2025.101830","DOIUrl":"10.1016/j.bonr.2025.101830","url":null,"abstract":"<div><h3>Background</h3><div>Epithelioid hemangioendothelioma (EHE) is an ultra-rare vascular sarcoma with an extremely low incidence and prevalence, particularly in children. We report the case of a 9-year-old girl diagnosed with EHE. There are limited reconstruction methods available following total talus resection for vascular endothelioma of the talus, and the use of a 3D-printed talus prosthesis in pediatric cases has not been previously documented.</div></div><div><h3>Case presentation</h3><div>A 9-year-old girl presented to our unit with swelling, pain, and limited mobility of the ankle for one month without an obvious cause. X-ray and CT imaging revealed osteolytic lesions in the talus, which was identified as a low-grade malignant tumor that had nearly completely invaded the talus and was surrounded by immature bone. The American Foot and Ankle Surgery Association (AOFAS) score was 75/100. We performed a total resection of the talus followed by unrestricted talus replacement. Three months post-operation, the child was able to walk unaided. Ankle function was assessed at 6 and 13 months post-surgery, with the AOFAS score improving from 75 to 91, indicating that her functional needs for daily life were largely met.</div></div><div><h3>Conclusion</h3><div>Following complete excision of the lesion, the immature bone surrounding the talus was successfully preserved using an unrestricted 3D-printed prosthesis during ankle reconstruction. Our patient demonstrated satisfactory ankle function during the 6-month follow-up. This method is both safe and stable, yielding promising results, particularly for juvenile patients.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101830"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143422503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ischemic stroke reduces bone perfusion and alters osteovascular structure","authors":"Nicholas J. Hanne ,&nbsp;Andrew J. Steward ,&nbsp;Carla Geeroms ,&nbsp;Elizabeth D. Easter ,&nbsp;Hannah T. Gensch ,&nbsp;Greet Kerckhofs ,&nbsp;Tatjana N. Parac-Vogt ,&nbsp;Huaxin Sheng ,&nbsp;Jacqueline H. Cole","doi":"10.1016/j.bonr.2025.101824","DOIUrl":"10.1016/j.bonr.2025.101824","url":null,"abstract":"<div><div>Stroke patients lose bone mass and experience fracture at an elevated rate. Although functional intraosseous vasculature is necessary for skeletal maintenance, the effect of stroke on osteovasculature is unknown. In this study we characterized changes to osteovascular perfusion, structure, and composition following mild-to-moderate stroke severity in mice, both with and without exercise therapy. Twelve-week-old male mice (<em>n</em> = 27) received either an ischemic stroke (middle cerebral artery occlusion) or sham procedure, followed by a four-week recovery with either moderate daily treadmill or sedentary activity. Intraosseous perfusion, measured weekly in the proximal tibial metaphysis with laser Doppler flowmetry, was reduced for two weeks in the stroke group relative to the sham group. After four weeks, osteovascular structure was assessed in the distal femoral metaphysis with contrast-enhanced computed tomography. Increased osteovascular volume and branching, decreased number of smaller vessels (6–22 μm), and increased number of larger vessels (&gt;66 μm) were observed in the stroke groups compared to sham groups, which may be a compensatory response to early perfusion deficits. Although moderate exercise mitigated the impact of stroke on osteovascular perfusion and volume, it tended to reduce the amount of osteogenic type H vasculature quantified with immunofluorescence microscopy and, exacerbated by stroke effects, produced fewer vessels in close proximity to bone and thus may have detrimental effects on bone remodeling during early stroke recovery. Since results were similar in both limbs, the effects of ischemic stroke on osteovascular perfusion and structure were primarily systemic, rather than resulting from paresis or disuse, providing new insight for future studies on the pathogenesis and treatment of skeletal fragility in stroke patients.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101824"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11782850/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143078625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring shape changes in healthy bone growth through 3D spatiotemporal statistical shape models: A scoping review","authors":"Lily E. de Vries ,&nbsp;Derek F.R. van Loon ,&nbsp;Eline M. van Es ,&nbsp;DirkJan H.E.J. Veeger ,&nbsp;Joost W. Colaris","doi":"10.1016/j.bonr.2024.101817","DOIUrl":"10.1016/j.bonr.2024.101817","url":null,"abstract":"<div><h3>Objective</h3><div>Analyzing population trends of bone shape variation can provide valuable insights into growth processes. This review aims to overview state-of-the-art spatiotemporal statistical shape modeling techniques, emphasizing their application to 3D skeletal structures during healthy growth.</div></div><div><h3>Methods</h3><div>We searched PubMed and Scopus for articles on statistical shape modeling using a pediatric spatiotemporal dataset of 3D healthy bone models. Dataset characteristics and details on the shape models' development, analyses, and potential clinical use were extracted.</div></div><div><h3>Results</h3><div>Fourteen studies were found eligible, modeling one or multiple lower limb bones, the mandible, the skull, and vertebrae. The majority applied Principal Component Analysis on point distribution models to create a statistical shape model. Shape variation was analyzed based on shape modes, representing a specific shape change as a part of the overall variance. Unscaled models resulted in a more compact statistical shape model than scaled models. The latter represented more subtle shape variations due to the absence of size differences between the bone models. Four studies reported a significant correlation between the first shape mode and age, indicating a relationship between that type of shape variation and growth. Three studies reconstructed 3D models using prediction features of statistical shape modeling. Measuring difference between predicted and actual anatomy resulted in Root Mean Squared Errors below 3 mm.</div></div><div><h3>Conclusion</h3><div>Spatiotemporal statistical shape modeling provides insight into modes of shape variation during growth. Such a model can be used to find predictive factors, like age or sex, and deploy these characteristics to predict someone's bone geometry.</div></div>","PeriodicalId":9043,"journal":{"name":"Bone Reports","volume":"24 ","pages":"Article 101817"},"PeriodicalIF":2.1,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11653109/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142852608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}