Validation of two-dimensional vertebral body parameters in estimating patient height in elderly patients

Waduud, Mohammed Abdul; Sucharitkul, Penelope P J; Drozd, Michael; Gupta, Ankit; Hammond, Christopher J; Scott, D.

doi:10.1259/bjr.20190342

Cited by 7 publications

(8 citation statements)

References 19 publications

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“…Since a correlation between skeletal muscle density and mortality in mechanically ventilated patients has been previously reported ( 31 ), this point deserves further investigation. Third, height of all patients was not available, thus we had to estimate the height of part of our patients by the anteroposterior diameter of T12, as previously validated ( 25 ). Fourth, our study retrieved data from multiple centers with different CT acquisition parameters and potentially different ICU admission criteria for COVID-19 patients.…”

Section: Discussionmentioning

confidence: 99%

“…Since direct measurement of height and weight was not available in all patients, we used vertebral size as a proxy of BMI for SMM area indexing ( 25 ). Measuring the anteroposterior diameter of T12 in an axial slice located in the middle of the vertebra, we estimated patients’ height and obtained dorsal muscle indexes (DMI T5 and DMI T12 ) by dividing SMM at T5 level (SMM T5 ) and at T12 level by the anteroposterior T12 vertebral size.…”

Section: Methodsmentioning

confidence: 99%

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CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19

Schiaffino¹,

Albano²,

Cozzi³

et al. 2021

Radiology

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Background Lower muscle mass is a known predictor of unfavorable outcome, but its prognostic impact on COVID-19 patients is unknown. Purpose To investigate the contribution of CT-derived muscle status in predicting clinical outcomes in COVID-19 patients. Materials and Methods Clinical/laboratory data and outcomes (intensive care unit [ICU] admission and death) were retrospectively retrieved for patients with reverse transcriptase polymerase chain reaction-confirmed COVID-19, who underwent chest CT on admission in four hospitals in Northern Italy from February 21 to April 30, 2020. Extent and type of pulmonary involvement, mediastinal lymphadenopathy, and pleural effusion were assessed. Cross-sectional areas and attenuation of paravertebral muscles were measured on axial CT images at T5 and T12 vertebral level. Multivariable linear and binary logistic regression, including calculation odds ratios (OR) with 95% confidence intervals (CIs), were used to build four models to predict ICU admission and death, tested and compared using receiver operating characteristic curve (ROC) analysis. Results A total 552 patients (364 men; median age 65 years, interquartile range 54–75) were included. In a CT-based model, lower-than-median T5 paravertebral muscle area showed the highest ORs for ICU admission (OR 4.8, 95% CI 2.7–8.5; P <.001) and death (OR 2.3, 95% CI 1.0–2.9; P =.027). When clinical variables were included in the model, lower-than-median T5 paravertebral muscle area still showed the highest ORs both for ICU admission (OR 4.3; 95% CI 2.5–7.7; P <.001) and death (OR 2.3, 95% CI 1.3–3.7; P =.001). At ROC analysis, the CT-based model and the model including clinical variables showed the same area under the curve (AUC) for ICU admission prediction (AUC 0.83, P =.380) and were not different in predicting death (AUC 0.86 versus AUC 0.87, respectively, P =.282). Conclusion In hospitalized patients with COVID-19, lower muscle mass on CT was independently associated with ICU admission and hospital mortality.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19

Schiaffino¹,

Albano²,

Cozzi³

et al. 2021

Radiology

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“…Abdul Waduud et al assessed the validation of vertebral body parameters, including the vertebral body area, anteroposterior vertebral body diameter, and lateral vertebral body diameter in stature estimation in elderly patients. They demonstrated a significant relationship between the patient's height and the vertebral body measurements [17].…”

Section: Discussionmentioning

confidence: 97%

Height Estimation Based on 3-Dimensional CT Scan of 12th Thoracic, 1st and 5th Lumbar Vertebrae

Mostafavi¹,

Memarian

Motamedi³

et al. 2022

IJMTFM

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Background: Identification of victims is one of the main challenges of forensic medicine. Height is one of the key measurements of the biological profiles of individuals. This study aimed to evaluate height based on measuring three-dimensional CT scan indices of twelfth thoracic (T12), first lumbar (L1), and fifth lumbar (L5) vertebrae in Iranian adults. Methods: The present study was a cross-sectional study performed on 100 patients who underwent a spinal CT scan. Vertebral T12, L1, and L5 indices were measured in these individuals. Finally, the evaluated indices were statistically compared and the diagnostic effect of each was evaluated to estimate the height. Independent t-test and linear regression were used using SPSS software v. 21. A P value less than 0.05 was considered significant. Results: The results showed that the mean difference between T12, L1, and L5 indices in the two groups of male and female patients was statistically significant. With one unit increase in the Transverse process distance T 12 (TDM T12), there is an increase of 0.42 units in height (P=0.02). Conclusion: According to the results of the present study, the measurements of the T12, L1, and L5 vertebral indices have a significant relationship with gender. Among the measurements of the T12, L1, and L5 vertebral indices, just TDM T12 can be a predictive factor to estimate the height of the Iranian population.

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“…An additional use for height and body size estimation is in the critical care setting, where height may be required for medication dosage calculations. For these reasons there have been various attempts made to estimate height from alternative available measurements and imaging [ 7 , 8 , 9 , 10 , 11 , 12 , 13 ]. Much of the literature regarding height estimation based on alternative measurements comes from the field of forensic medicine, where only parts of cadavers may be available following fires and mass disaster events [ 14 ].…”

Section: Introductionmentioning

confidence: 99%

“…Various methods for height estimation exist in this context, and the most accurate of these methods traditionally involve the long bones [ 8 ]. Methods have also been proposed for the estimation of height based on vertebral parameters on cross-sectional imaging [ 9 , 10 , 11 , 12 , 13 ]. The purpose of this study was to compare and validate previously published formulae for patient height prediction in a contemporary Australian population based on readily available vertebral measurements on abdominal CT examinations.…”

Section: Introductionmentioning

confidence: 99%

Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models

2023

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The aim of this study is to compare previously published height estimation formulae in a contemporary Australian population using vertebral measurements readily available on abdominal CT. Retrospective analysis of patients undergoing a planning CT prior to transcatheter aortic valve implantation in a 12-month period was conducted; 96 participants were included in the analysis from a total of 137, with 41 excluded due to incomplete data. Seven vertebral measurements were taken from the CT images and height estimates were made for each participant using multiple regression equations from the published literature. Paired sample t-tests were used to compare actual height to estimated height. Many of the models failed to accurately predict patient height in this cohort, with only three equations for each sex resulting in a predicted height that was not statistically significantly different to actual height. The most accurate model in female participants was based on posterior sacral length and resulted in a mean difference between an actual and calculated height of 0.7 cm (±7.4) (p = 0.520). The most accurate model in male participants was based on anterior sacrococcygeal length and resulted in a mean difference of −0.6 ± 6.9 cm (p = 0.544). Height estimation formulae can be used to predict patient height from common vertebral parameters on readily available CT data. This is important for the calculation of anthropometric measures for a variety of uses in clinical medicine. However, more work is needed to generate accurate prediction models for specific populations.

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Validation of two-dimensional vertebral body parameters in estimating patient height in elderly patients

Cited by 7 publications

References 19 publications

CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19

CT-derived Chest Muscle Metrics for Outcome Prediction in Patients with COVID-19

Height Estimation Based on 3-Dimensional CT Scan of 12th Thoracic, 1st and 5th Lumbar Vertebrae

Height Estimation from Vertebral Parameters on Routine Computed Tomography in a Contemporary Elderly Australian Population: A Validation of Existing Regression Models

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