Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D

Štern, Darko; Njagulj, Vesna; Likar, Boštjan; Pernuš, Franjo; Vrtovec, Tomaž

doi:10.1007/s00198-012-2089-4

Cited by 12 publications

(5 citation statements)

References 36 publications

(66 reference statements)

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“…Furthermore, while the algorithm adopted in [43] takes several minutes to elaborate a single radiography, our technique is faster and reaches the final result in about 1 min. Quantitative vertebral morphometry was performed by parametric modelling of vertebral bodies in CT images by Štern et al [10]: this method showed a sensitivity of 92.5%, which was comparable with our corresponding value (89.1%), but reported a specificity of 92.5% (7.5% of false positives) which was lower respect to the 100% of our method.…”

Section: Resultssupporting

confidence: 76%

“…Currently, the two methods most commonly adopted in clinical routine for vertebral fracture identification are: (i) qualitative visual assessment of a lateral radiograph by a well-trained radiologist; (ii) vertebral morphometry, which is based on quantitative measurements of front (Ha), middle (Hm), and rear (Hp) heights of vertebral bodies [10][11][12]. In the former case, outcome reliability is strongly dependent on operator experience, while the latter approach typically implies time-consuming operations, whose final accuracy is frequently reduced because of errors related to ineffective or absent support from semi-automatic measurement tools [13].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Automatic method for vertebral morphometry measurements

Franchini

Conversano

Pisani

et al. 2016

IET Science, Measurement & Technology

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Section: Resultssupporting

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Automatic method for vertebral morphometry measurements

Franchini

Conversano

Pisani

et al. 2016

IET Science, Measurement & Technology

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“…In fact, bone microstructure was found to be profoundly altered in acromegalic patients with VFs [53, 54]; VFs tended to progress over the time even when BMD values were in the normal range [49, 55], and antiosteoporotic drugs were shown to prevent the progression of VFs in patients induced by GH excess [16]. Moreover, in our patients, the qualitative analysis on images obtained by the 3D reconstruction permitted to have a better discrimination between normal and fractured vertebral bodies [56]. Therefore, the association between VFs and osteoarthropathy in our patients might not reflect a misdiagnosis of fractures but rather a possible pathophysiological link between the 2 conditions [57, 58].…”

Section: Discussionmentioning

confidence: 96%

Vertebral Fractures Associated with Spinal Sagittal Imbalance and Quality of Life in Acromegaly: A Radiographic Study with EOS 2D/3D Technology

Cellini¹,

Biamonte²,

Mazza³

et al. 2020

Neuroendocrinology

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Introduction: Acromegaly is commonly complicated by arthropathy and skeletal fragility with high risk of vertebral fractures (VFs). Objective: This study aimed to assess whether VFs may be associated with sagittal spine deformities, arthropathy, impaired quality of life (QoL), pain, and disability. Methods: Thirty-eight patients with acromegaly (median age: 55 years, 20 males) and 38 matched control subjects were evaluated by a low-dose sagittal and coronal planes, X-ray imaging system (EOS®-2D/3D) for morphometric VFs, radiological signs of spine arthropathy, and spine deformities (Cobb thoracic index ≥40°, pelvic incidence minus lumbar lordosis ≥10°, pelvic tilt >20°, and sagittal vertical axis ≥4 cm) determining sagittal spine imbalance. Acromegalic patients were also evaluated by questionnaires for QoL (Acromegaly QoL Questionnaire [AcroQoL] and Short Form-36 [SF-36]) and pain and disability (Western Ontario and McMaster University [WOMAC]). Results: Acromegalic patients showed higher prevalence of thoracic hyperkyphosis (i.e., Cobb thoracic index ≥40°; p = 0.04) and pelvic tilt >20° (p = 0.02) than control subjects. VFs were found in 34.2% of acromegalic patients (p = 0.003 vs. control subjects), in relationship with higher prevalence of hyperkyphosis (p = 0.03), pelvic tilt >20° (p = 0.04), sagittal vertical axis ≥4 cm (p = 0.03), and moderate/severe subchondral degeneration (p = 0.01). Moreover, patients with VFs had lower AcroQoL general health (p = 0.007) and SF-36 general health (p = 0.002) scores and higher WOMAC pain (p = 0.003) and global (p = 0.009) scores than patients who did not fracture. Conclusions: In acromegaly, VFs may be associated with spine deformities and sagittal imbalance, spine arthropathy, impaired QoL, and disability.

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“…Semi-automated methods using statistical models were introduced later to address the issue of extensive manual operation, and they achieved a high level of reconstruction accuracy comparable to CT models thanks to the a priori statistical shape models (Kadoury et al 2009). These methods required little user input (Kadoury et al 2009, Humbert et al 2009, Moura et al 2011, and rely on the information in the images such as vertebral contours (Kadoury et al 2009, Zheng et al 2010, Zhang et al 2013 or morphological features (Kadoury et al 2009, Stern et al 2013; some methods could reconstruct the model using only a lateral x-ray (Zheng et al 2010). These methods rely on a large statistical database of non-scoliotic and scoliotic spine specimens to parameterise geometrical characteristics.…”

Section: Introductionmentioning

confidence: 99%

Reconstruction of three-dimensional lumbar vertebrae from biplanar x-rays

Lin

Fang

2021

Biomed. Phys. Eng. Express

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Objective. Vertebrae models from computer tomographic (CT) imaging are extensively used in image-guided surgical systems to deliver percutaneous orthopaedic operations with minimum risks, but patients may be exposed to excess radiation from the pre-operative CT scans. Generating vertebrae models from intra-operative x-rays for image-guided systems can reduce radiation exposure to the patient, and the surgeons can acquire the vertebrae’s relative positions during the operation; therefore, we proposed a lumbar vertebrae reconstruction method from biplanar x-rays. Approach. Non-stereo-corresponding vertebral landmarks on x-rays were identified as targets for deforming a set of template vertebrae; the deformation was formulated as a minimisation problem, and was solved using the augmented Lagrangian method. Mean surface errors between the models reconstructed using the proposed method and CT scans were measured to evaluate the reconstruction accuracy. Main results. The evaluation yielded mean errors of 1.27 mm and 1.50 mm in in vitro experiments on normal vertebrae and pathological vertebrae, respectively; the outcomes were comparable to other template-based methods. Significance. The proposed method is a viable alternative to provide digital lumbar to be used in image-guided systems, where the models can be used as a visual reference in surgical planning and image-guided applications in operations where the reconstruction error is within the allowable surgical error.

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Quantitative vertebral morphometry based on parametric modeling of vertebral bodies in 3D

Cited by 12 publications

References 36 publications

Automatic method for vertebral morphometry measurements

Automatic method for vertebral morphometry measurements

Vertebral Fractures Associated with Spinal Sagittal Imbalance and Quality of Life in Acromegaly: A Radiographic Study with EOS 2D/3D Technology

Reconstruction of three-dimensional lumbar vertebrae from biplanar x-rays

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