Spine Radiographs Research Articles

Superior performance of a center-point AI model over VFLDNet in automated cobb angle estimation for scoliosis assessment.

Aims to establish the superiority of our proposed model over the state-of-the-art vertebra-focused landmark detection network (VFLDNet) in automating Cobb angle estimation from spinal radiographs. Utilizing a private dataset for external validation, we compared the performance of our center-point detection-based vertebra localization and tilt estimation network (VLTENet) with the key-point detection-based VFLDNet. Both models' Cobb angle predictions were rigorously evaluated against manual consensus score using metrics such as mean absolute error (MAE), correlation coefficient, intraclass correlation coefficient (ICC), Fleiss' kappa, Bland-Altman analysis, and classification metrics [sensitivity (SN), specificity, accuracy] focusing on major curve estimation and scoliosis severity classification. A retrospective analysis of 118 cases with 342 Cobb angle measurements revealed that our model achieved a MAE of 2.15° for total Cobb angles and 1.89° for the major curve, significantly outperforming VFLDNet's MAE of 2.80°and 2.57°, respectively. Both models demonstrated robust correlation and ICC, but our model excelled in classification consistency, particularly in predicting major curve magnitude (ours: kappa = 0.83; VFLDNet: kappa = 0.67). In subgroup analyses by scoliosis severity, our model consistently surpassed VFLDNet, displaying superior mean (SD) differences, narrower limits of agreement, and higher SN, specificity, and accuracy, most notably in moderate (ours: SN = 86.84%; VFLDNet: SN = 83.16%) to severe (ours: SN = 92.86%; VFLDNet: SN = 85.71%) scoliosis. Our model emerges as the superior choice for automated Cobb angle estimation, particularly in assessing major curve and moderate to severe scoliosis, underscoring its potential to revolutionize clinical workflows and enhance patient care.

Early Sagittal Shape of the Spine Predicts Scoliosis Development in a Syndromic (22q11.2DS) Population: A Prospective Longitudinal Study.

Scoliosis is a deformation of the spine and trunk that, in its more severe forms, creates a life-long burden of disease and requires intensive treatment. For its most prevalent form, adolescent idiopathic scoliosis, no underlying condition can be defined, and the pathomechanism appears to be multifactorial; however, it has been suggested that the biomechanics of the spine play a role. For nonidiopathic scoliosis, underlying conditions can be recognized, but what drives the deformity remains unclear. In this study, we examined the early sagittal shape of the spine before the onset of scoliosis in a population with 22q11.2 deletion syndrome (22q11.2DS). This cohort was chosen since children with this syndrome have an approximately 50% chance of developing scoliosis that shares certain characteristics with idiopathic scoliosis, namely, age of onset, curve morphology, and rate of progression. This prospective cohort study included patients with 22q11.2DS who were followed with the use of spinal radiographs during adolescent growth. All of the children, who initially had no scoliosis while still skeletally immature (Risser stages 0 and 1), were followed at 2-year intervals until they reached skeletal maturity (Risser stages 3 to 5). We assessed the segment of the spine that has previously been shown to be rotationally unstable, the posteriorly inclined segment, to determine if it was predictive of later scoliosis development. For quantification, the area of the "posteriorly inclined triangle" (PIT), a previously described parameter that integrates both the inclination and length of the at-risk segment, was measured. Of the 50 children who initially had no scoliosis (mean age at inclusion, 10.7 ± 1.7 years; mean follow-up, 4.8 ± 1.6 years), 24 (48%) developed scoliosis. Patients with an above-average PIT area (>60 cm2) at inclusion showed a relative risk of 2.55 for scoliosis development (95% confidence interval [CI]:1.22 to 5.34). PIT inclination was correlated with curve type: a taller and steeper hypotenuse predicted later thoracic scoliosis, while a shorter and less steep inclination predicted the development of (thoraco)lumbar scoliosis. This prospective study identified the pre-scoliotic sagittal shape of the spine as a risk factor for the later development of scoliosis in the population of children with 22q11.2DS. Prognostic Level II. See Instructions for Authors for a complete description of levels of evidence.

Validating the Definition of Lumbar Instability-A Cross-Sectional Study with 420 Healthy Volunteers.

Background/Objectives: Low back pain is thought to be caused by lumbar instability. To date, multiple definitions of radiological lumbar instability have been used without verifying the "normal range" of the lumbar segmental mobility. Ideally, normative data for lumbar mobility in healthy individuals are required to establish an acceptable threshold for lumbar instability. This study aims to elucidate (i) the prevalence of so-called radiological lumbar instability at each lumbar spine level in conventional criteria and (ii) a practical radiological threshold for lumbar instability in healthy individuals. Methods: Participants completed a questionnaire and underwent standard active dynamic radiography of the lumbar spine in the standing position. Intervertebral range of motion (IROM) and sagittal translation distance (ΔST) were measured at each intervertebral level. Nachemson's criteria of radiological lumbar instability were applied. Results: This study involved four hundred and twenty participants (249 males and 171 females); 76% (320/420) met the criteria for radiological lumbar instability. The definition of lumbar instability based on IROM and ΔST was achieved by 0.2% and 1.7% of participants at the L5-sacrum (L5-S) level, respectively. Conclusions: The normative data of lumbar mobility were obtained from a large number of participants who had less LBP-related ADL disability. The widely accepted criteria for lumbar instability were not applicable except for the L5-S level. Further studies of lumbar mobility, including patients with severe LBP, might prove the relationship between hypermobility of the lumbar spine and LBP.

Cervical spine motion during videolaryngoscopic intubation using a Macintosh-style blade with and without the anterior piece of a cervical collar: a randomized controlled trial.

Applying a cervical collar during videolaryngoscopic intubation can increase the lifting force required to achieve adequate glottic view, potentially increasing cervical spine motion. We aimed to compared cervical spine motion during videolaryngoscopic intubation between applying only the posterior piece (posterior-only group) and applying both the anterior and posterior pieces (anterior-posterior group) in patients wearing a cervical collar. We conducted a dingle-centre, parallel-group, randomized controlled trial in 102 patients (each group, N = 51). We used a videolaryngoscope (AceScope™, Ace Medical, Seoul, Republic of Korea) with a Macintosh-style blade (AceBlade™, Ace Medical, Seoul, Republic of Korea) for videolaryngoscopic intubation. In each group (posterior-only vs anterior-posterior), we measured cervical spine motion during intubation, defined as change in cervical spine angle (calculated as cervical spine angle at intubation minus that before intubation) at three cervical spine segments on lateral cervical spine radiographs. The differences in mean cervical spine motion during intubation between the posterior-only and anterior-posterior groups were 1.2° (98.3% confidence interval [CI], -0.7 to 3.0), 1.0° (98.3% CI, -0.6 to 2.6), and -0.3° (98.3% CI, -2.2 to 1.7) at the occiput-C1, C1-C2, and C2-C5 segments, respectively. Mean (standard deviation) cervical spine angles at the occiput-C1, C1-C2, and C2-C5 segments in the posterior-only vs anterior-posterior groups were 10.8° (4.2) vs 9.6° (3.3) (P = 0.13), 5.6° (3.0) vs 4.7° (3.5) (P = 0.14), and 1.2° (3.7) vs 1.5° (4.3) (P = 0.74), respectively. Intubation times were shorter in the posterior-only group (median [interquartile range], 23 [19-28] sec vs 33 [20-47] sec; P = 0.003). In patients wearing a cervical collar, the differences in mean cervical spine motions during intubation between applying only the posterior piece and applying both the anterior and posterior pieces were approximately 1°. Intubation times were significantly shorter without the anterior piece of a cervical collar. These findings can be referred to when removal of the anterior piece of a cervical collar is considered to address difficult videolaryngoscopic intubation conditions. CRIS.nih.go.kr ( KCT0008151 ); first submitted 17 January 2023.

Low bone mineral density and its influencing factors in spinal muscular atrophy without disease-modifying treatment: a single-centre cross-sectional study

BackgroundChildren with spinal muscular atrophy (SMA) are at risk of low bone mineral density (BMD) and bone fragility. This study aims to assess lumbar spine BMD measured by quantitative computed tomography (QCT) and investigate influencing factors of low BMD in children with SMA without disease-modifying treatment.MethodsDemographic data, laboratory parameters, QCT data, and data on spinal radiographs were collected. A linear regression model was carried out to explore the correlations between BMD and its related factors.ResultsSixty-six patients with SMA who had complete records between July 2017 and July 2023 were analyzed, with SMA with a mean age of 5.4 years (range, 2.4–9.7 years), including type 1 in 14, type 2 in 37, and type 3 in 15. 28.8% of patients (19/66) were diagnosed with low BMD (Z-scores ≤ − 2), and the mean BMD Z-scores on QCT was − 1.5 ± 1.0. In our model, BMD Z-scores was associated with age (β=-0.153, p = 0.001). SMA phenotype and serum bone metabolism markers, such as serum phosphorus (P), alkaline phosphatase (ALP) and 25-Hydroxyvitamin D (25-OH-D) levels did not independently predict low BMD. ROC analysis showed that the age ≥ 6.3 years predicts a Z-scores ≤ -2.0 with a sensitivity of 68.4% and a specificity of 68.1%.ConclusionsLow BMD were highly prevalent in children with SMA without disease-modifying treatment in our centre. Regular monitoring of BMD is necessary for all types of SMA children, especially those aged ≥ 6.3 years.

Course and Predictors of Adult Spinal Sagittal Disorders: A 10-year Prospective Case Series.

Prospective case series. To study the natural course of adult spinal deformity (ASD) over a10-year period and the determinants associated with postural malalignments. ASD comprises a heterogeneous spectrum of abnormalities of the thoracolumbar spine throughout adulthood. Radiographic deterioration of sagittal alignment is a combination of decreased lumbar lordosis (LL), PI-related retroversion of the pelvic tilt (PT), anteriorizing sagittal vertical axis (SVA) and increased T1 pelvic angle (TPA). The full spine radiographs were taken to measure the SRS-Schwab sagittal modifiers PI-LL, PT and SVA to measure the possible change in severity of deformity from the 204 volunteer participants (mean age 62.7 years, 61% female), which were 32% of the 637 consecutive patients with prolonged back pain who originally joined the study in 2012-2013. Each participant completed the Scoliosis Research Society 22r (SRS-22r) questionnaire. The mean change in the SRS-Schwab score was 0.4 units (baseline 1.1 vs. follow-up 1.5, P < 0.001) implying deterioration of the spinal deformity. The SRS-Schwab score decreased (n=76, 37%), remained the same (n=102, 50%) or improved (n=26, 13%). Four predictive factors for a change of sagittal alignment were found, of which the poor score in the SRS-22r function domain (P=0.049) and severe pelvic tilt (PT greater than 30°, P=0.006) predicted the change. This study showed the variability in how sagittal alignment of the spine change during the 10-year follow-up period. The ASD patients with poor self-assessed functional ability and disturbed pelvic position were associated with the risk of deterioration in spinopelvic alignment. The diversity in the natural course of ASD and the known risk factors highlights the need for tailored advice when planning preventive treatment procedures for ASD patients. 3.

National and regional trends in the prevalence of adolescent idiopathic scoliosis in South Korean military draftees

IntroductionRecent epidemiological and aetiological data on adolescent idiopathic scoliosis (AIS) among military draftees are scarce in nationwide and population-based databases. This retrospective, nationwide and population-based study aims to assess national...

“Normal” Cervical Spine Radiographs and Computed Tomography Scans in the Emergency Department: Beware of Posttraumatic Instability of the Mobile Segment of the Lower Cervical Spine

The NEXUS criteria have been introduced in the 1990s to assist emergency department physicians to decide whether to perform radiographic work-up following cervical whiplash injury. Four criteria have been described on these profile radiographs of the cervical spine including angulation between cervical endplates, 3-mm listhesis, posterior facet joints overlap, and widened interspinous space. Although these criteria could help to detect patients suffering from unstable trauma of the mobile segment if the lower cervical spine, the radiographic signs may be so subtle that even specifically trained physicians like spine surgeons and neuroradiologists may miss them, especially during after-hour shifts. Hence, we present the striking case of a young female patient whose radiographs displayed slight but abnormal signs of lower cervical spine instability, but was nonetheless discharged home with dynamic X-rays of the cervical spine to be performed in a delayed setting. We hope that these striking features will help us remind the importance of radiologic semiology of posttraumatic unstable cervical spine.

Using an Ensemble of Segmentation Methods to Detect Vertebral Bodies on Radiographs.

Vertebral compression fractures may indicate osteoporosis but are underdiagnosed and underreported by radiologists. We have developed an ensemble of vertebral body (VB) segmentation models for lateral radiographs as a critical component of an automated, opportunistic screening tool. Our goal is to detect the approximate location of thoracic and lumbar VBs, including fractured vertebra, on lateral radiographs. The Osteoporotic Fractures in Men Study (MrOS) data set includes spine radiographs of 5994 men aged ≥65 years from 6 clinical centers. Two segmentation models, U-Net and Mask-RCNN (Region-based Convolutional Neural Network), were independently trained on the MrOS data set retrospectively, and an ensemble was created by combining them. Primary performance metrics for VB detection success included precision, recall, and F1 score for object detection on a held-out test set. Intersection over union (IoU) and Dice coefficient were also calculated as secondary metrics of performance for the test set. A separate external data set from a quaternary health care enterprise was acquired to test generalizability, comprising diagnostic clinical radiographs from men and women aged ≥65 years. The trained models achieved F1 score of U-Net = 83.42%, Mask-RCNN = 86.30%, and ensemble = 88.34% in detecting all VBs, and F1 score of U-Net = 87.88%, Mask-RCNN = 92.31%, and ensemble = 97.14% in detecting severely fractured vertebrae. The trained models achieved an average IoU per VB of 0.759 for U-Net and 0.709 for Mask-RCNN. The trained models achieved F1 score of U-Net = 81.11%, Mask-RCNN = 79.24%, and ensemble = 87.72% in detecting all VBs in the external data set. An ensemble model combining predictions from U-Net and Mask-RCNN resulted in the best performance in detecting VBs on lateral radiographs and generalized well to an external data set. This model could be a key component of a pipeline to detect fractures on all vertebrae in a radiograph in an automated, opportunistic screening tool under development.

Comparative analysis of imaging data in sensory and motor disorders in lumbar neurocompressive syndrome

Introduction Lumbar neurocompressive syndrome is a condition characterized by radicular pain, motor, sensory and reflex changes, as well as paresthesia or numbness in the lower limb. These symptoms can be triggered by positions and/or movements of the spine. In lumbar radiculopathy, both mechanical and inflammatory factors play significant roles. Material and methods The study included 102 patients with signs of lumbar neurocompressive syndrome. Of these, 51 (group I) patients were examined using MRI and the other 51 patients (group II) were examined using conventional radiographic investigation of the lumbosacral region of the spine. Results By analyzing the magnetic resonance imaging data of the lumbar spine, a threshold of statistical significance was determined (of 10%, p &lt; 0.10) for patients with sensory disturbances in the lower limb in cases of stenosis of the lumbar spinal canal, and in patients with motor disorders in the lower limb, in the case of disc protrusions. The analysis of the magnetic resonance imaging data determined a significance threshold (of 5%, p &lt; 0.05) in patients with sensory disorders (in the case of disc sequestrations and in the case of disc extrusions) as well as for motor disorders (in the case of disc extrusions, disc sequestrations and static disorders of the spine). The analysis of standard radiographs of the lumbar spine allowed the determination of the threshold of statistical significance (of 5%, p &lt; 0.05) in patients with sensory disorders in the lower limb in cases of coxofemoral osteoarthritis and Schmorl’s hernias. For patients with motor disorders at the level of the lower limb, conventional radiography was informative in the presence of calcification of the intervertebral discs and in coxofemoral osteoarthritis. Conclusion MRI can be considered the first-choice imaging technique for diagnosis of the lumbar spine pathologies characterized by sensory and motor changes in the lower limbs.

Efficiency of the decision support system for determining the severity of scoliotic spinal deformity by the analysis of radiographs

BACKGROUND: In 2020, a decision support system was developed at expense of grant from Innovation Promotion Fund and integrated into medical base of prosthetic and orthopedic center “Sсoliologic.ru.” It is the first computer program for determining severity of scoliotic spinal deformity in analysis of radiographs. AIM: To evaluate performance of a computer program for determining Cobb angle by comparing obtained automated data with manual measurement data by various specialists. MATERIALS AND METHODS: From medical base of prosthetic and orthopedic center “Sсoliologic.ru,” 411 digital radiographs of spine of children and adolescents were selected, which were drawn by a radiologist (BP-etalon), an orthopedic traumatologist with 5 years of experience and experience in vertebrology (OO), and an orthopedic traumatologist with less than 1 year of experience and no experience in vertebrology (OB) and computer program (KP). The number and proportion of exact matches and mean absolute percentage error (MAPE) of results of measuring the Cobb angle of reference data were compared with indicators obtained by OO, OB, and KP in, for various types of scoliosis according to the classification of Rigо, as well as in determining the main arc. Bland–Altman graphs were used. The mean absolute deviation (MAD) and MAPE for the main arc with magnitude ranging from 20° to 50° were calculated. RESULTS: The exact matches of KP with standard were 21%. Hence, every fifth measurement of the Cobb angle on X-ray, calculated automatically, was identical to standard. The highest proportion of matches with standard was noted in OO (33%), and the lowest in OB (16%). The highest accuracy of KP was found at types E1 and E2, and the arc of 3 was 30% and 24%, respectively. The proportion of KP matches with standard increased to 61%, with an error of 3°, and to 75%, with an error of 5°; with an error of 7°, the proportion of matches reached 84%. Moreover, the proportion of coincidences of a non-experienced researcher increased from 34% to 58%. When determining magnitude of the main arc of scoliosis, OO increased his/her accuracy by almost 2,6 times, KP by 2,1 times, and OB by 1,5 times. The MAD of KP for all major arcs was 3.8°. Good reliability of the obtained KP indicators compared to the reference (ICC = 0.9) was noted. CONCLUSIONS: The use of a computer program may be recommended for automated determination of Cobb angle, because current algorithm of computer program has been found to be accurate compared to reference measurement. Its accuracy was significantly higher than that of novice orthopedic traumatologists with no experience in vertebrology.

Dandy-Walker malformations with other complex congenital deformities associated with scoliosis: a case series.

Dandy-Walker malformations (DWM) is a rare condition with an estimated prevalence of 1 in 30 000 cases. Although DWM often complicates scoliosis, its prevalence and the time of onset are unknown because only a few reports have described the association between scoliosis and DWM. This case series describes spinal deformity associated with DWM. The clinical records and spinal radiographs of 23 consecutive patients with DWM at a single centre were reviewed. DWM was clinically diagnosed if patients met the following three conditions: (1) posterior fossa enlargement, (2) cerebellar hypoplasia and (3) cystic dilation of the fourth ventricle on MRI. Radiological assessment records for the presence, prevalence and time of onset of DWM were studied. Twelve of 23 patients (52%) demonstrated a scoliotic deformity, with 3 (13%) having severe deformities exceeding 60°. The average age at diagnosis was 3.6 ± 2.9 years (range: 0.7-9.7) and at radiographic examination during the final follow-up was 8.7 years (range 1.0-22.0). Only two patients were skeletally mature. The coronal angular deformity at the final follow-up was 34.2 ± 32.3° (range: 10.1-125.1°). One patient with moderate deformity >25° died before bracing. In addition, of three patients with severe deformities, only one had undergone posterior spinal fusion. The prevalence of scoliosis in DWM was 52%, and all patients who developed scoliosis reported early-onset scoliosis under 10 years of age. Early diagnosis and screening of spine deformity are required for patients with DWM to prevent disease progression. Evidence level: 4.

A new artificial intelligence program for the automatic evaluation of scoliosis on frontal spinal radiographs: Accuracy, advantages and limitations

BACKGROUND: Scoliosis is one of the most common spinal deformations that are usually diagnosed on frontal radiographs using Cobb’s method. Automatic measurement methods based on artificial intelligence can overcome many drawbacks of the usual method and can significantly save radiologist’s time. AIM: To analyze the accuracy, advantages, and disadvantages of a newly developed artificial intelligence program for the automatic diagnosis of scoliosis and measurement of Cobb’s angle on frontal radiographs. MATERIALS AND METHODS: In total, 114 digital radiographs were used to test the agreement of Cobb’s angle measurements between the new automatic method and the radiologist using the Bland–Altman method on Microsoft Excel. A limited clinical accuracy test was also conducted using 120 radiographs. The accuracy of the system in defining the scoliosis grade was evaluated by sensitivity, specificity, accuracy, and area under the receiver operating characteristic curve. RESULTS: The agreement of Cobb’s angle measurement between the system and the radiologist’s calculation was found mostly in grade 1 and 2 scoliosis. Only 2.8% of the results showed a clinically significant angle variability of 5°. The diagnostic accuracy metrics of the limited clinical trial in City Mariinsky Hospital (Saint Petersburg, Russia) also proved the reliability of the system, with a sensitivity of 0.97, specificity of 0.88, accuracy (general validity) of 0.93, and area under the receiver operating characteristic curve of 0.93. CONCLUSION: Overall, the artificial intelligence program can automatically and accurately define the scoliosis grade and measure the angles of spinal curvatures on frontal radiographs.

Frequent Unrecognized Vertebral Fractures Associated with Increased Body Fat Mass in Children and Adolescents with Duchenne Muscular Dystrophy.

Patients with Duchenne muscular dystrophy (DMD) have an increased risk of vertebral fractures (VFs). Ethnic variations may partly contribute to the fracture risk. This study aimed to demonstrate the VFs and body fat mass in Asian patients with DMD. Demographic data and DMD-related parameters of the enrolled patients were collected. Lateral thoracolumbar spine radiographs were performed for VF assessment. Genant classification was applied for VF severity grading (mild, moderate and severe). Body composition analysis using dual-energy X-ray absorptiometry was performed. Serum calcium, phosphate, intact parathyroid hormone and 25-hydroxyvitamin D concentrations were determined. There were 25 children and adolescents with DMD enrolled. Median (IQR) age was 12.9 (9.6, 19.3) years. Nine patients (36%) had VFs with a total of 31 sites of VFs (mild, N=10; moderate, N=3 and severe, N=18). These VFs had never been recognized prior to this study. Comparing with the non-VF group, the VF group received a significantly greater cumulative prednisolone equivalent dose (1,258 (948, 1,664) vs. 291 (17, 823) mg/kg, p=0.003). Body fat mass, represented by fat mass index and body fat percentage Z-scores was greater in the VF group [2.46 (2.21, 2.51) vs. 1.63 (0.36, 2.07), p=0.011 and 4.4 (3.1, 5.5) vs. 1.8 (0.6, 3.5), p=0.008, respectively]. No differences in serum calciotropic hormones and vitamin D status were demonstrated between patients with and without VFs. VFs were frequent in patients with DMD. Patients with VFs had greater cumulative glucocorticoid dose and body fat mass than those without VFs.

Sacroiliac and spine imaging in spondyloarthritis: Does phenotype or sex matter?

BackgroundSpondyloarthritis (SpA) encompasses a spectrum of immune-mediated inflammatory conditions primarily affecting the axial skeleton, including sacroiliitis and spondylitis, each with distinct features. This study aimed to investigate imaging disparities, focusing on sacroiliac magnetic resonance and spine radiography, across phenotypes and between males and females in axial SpA.MethodA cross-sectional study was conducted to assess clinical data, laboratory findings, magnetic resonance imaging (MRI) scores of sacroiliac joints using the Spondyloarthritis Research Consortium of Canada (SPARCC) and Sacroiliac Joint Structural Score (SSS), and cervical and lumbar spine radiographs utilizing the Modified Stoke Ankylosing Spondylitis Spine Score (mSASSS). The study aimed to compare these parameters between two groups: axial spondyloarthritis (axSpA, radiographic and non-radiographic) and axial psoriatic arthritis (axPsA), as well as between males and females.ResultsNinety-four patients were included, with 62 patients in the axSpA group and 32 patients in the axPsA group. There were no differences in disease activity, mobility, radiographic damage in the spine (Modified Stoke Ankylosing Spondylitis Spine Score– mSASSS), or sacroiliac magnetic resonance imaging (MRI) scores (Spondyloarthritis Research Consortium of Canada Magnetic Resonance Imaging Index - SPARCC and Sacroiliac Joint Structural Score - SSS) between the two phenotypes. Regarding sex, in imaging exams, men had higher mSASSS (p = 0.008), SSS (p = 0.001), and fat metaplasia (MG) score based on SSS (p = 0.001), while women had significantly higher SPARCC scores (p = 0.039). In the male group, the presence of HLA-B27 allele had an impact on more structural lesions on MRI (SSS), p = 0.013.ConclusionIn this study, imaging of sacroiliac joints and spine in patients with axial SpA did not show differences in phenotypes but did reveal differences based on sex, which may have an impact on future diagnostic recommendations. Further studies are needed to confirm these findings.

Radiation dose and image quality optimization in lumbar spine digital radiography for overweight and obese patients: Phantom study

Background: Lumbar spine radiography plays an important role in routine use for clinical practice in overweight and obese patients. The radiographer is responsible for setting suitable exposure factors for the tradeoffs between radiation dose and image quality (IQ). Objective: To investigate the effect of different kVp values combined with AEC used on radiation dose and IQ for routine lumbar spine radiography in overweight and obese patients. Materials and methods: A 1.5 and 3 cm thickness of frozen pork lard was placed on a pelvis phantom to simulate an overweight and obese patient, respectively. The phantom was imaged at 10 kVp intervals in combination with AEC used. For IQ evaluation, CNR and SNR were calculated, and the observer study was determined using visual grading scores (VGS) with a 5-point Likert scale. The radiation dose was measured using a DAP meter, and then the figure of merit (FOM) was calculated. Results: SNR and CNR for both AP and lateral projection showed a slightly decreasing trend when kVp increased in all groups. The DAP values decreased when the higher kVp was selected with AEC used in each group. The VGS by five radiographers showed good image quality in all groups, while the FOM at 100 and 109 kVp was the highest score for both AP and lateral projections. Conclusion: The optimal kVp setting in this study ranged from 100 to 109 kVp in combination with AEC used, indicating minimal radiation dose, while maintaining diagnostic IQ.

Fewer spine degenerations among Southeast Asians than among Southern Chinese suggests populations from a warmer climate have inherently better spine health.

Compared with older Caucasians, older Chinese have remarkably lower prevalence and lower severity of spine degenerative changes. There have been few studies on Southeast East populations. This study aims to compare radiographic spine degeneration features among older Hong Kong (HK) Chinese, older Thais, and older Indonesians. This study included 195 Thai women (mean: 73.6 years), 202 Thai men (mean: 73.7 years), 227 Indonesian women (mean: 70.5 years), and 174 Indonesian men (mean: 70.2 years), as well as same number of gender- and age-matched HK Chinese. The recruitment plan was that the participants would represent the general older population of their respective communities. With spine radiograph, spine hyper-kyphosis, osteoarthritic wedging (OAw), acquired short vertebrae (SVa), general osteophyte formation, lumbar disc space narrowing, and lumbar spondylolisthesis were assessed. Compared with Southeast Asians (Thais and Indonesian data together), Chinese women and men had a higher prevalence of hyper-kyphosis (24.9% vs. 16.4%), OAw (2.4% vs. 0.9%), general osteophyte formation (15.3% vs. 10.5%), lumber disc space narrowing (27.6% vs. 20.3%), and lumbar spondylolisthesis (20.7% vs. 15.3%). The trends were also consistent for sub-group data analyses. An even lower prevalence was noted among Indonesian women and men than among Thais in general osteophyte formation (5.9% vs. 14.1%), lumbar disc space narrowing (18.3% vs. 24.1%), and lumbar spondylolisthesis (11.4% vs. 19.3%). This study showed a lower prevalence of spine degeneration changes among older Thais and older Indonesians than among older Chinese. Indonesians, who inhabit an even warmer climate, show even fewer spine degeneration changes than Thais.

Development and validation of deep learning models for identifying the brand of pedicle screws on plain spine radiographs.

In spinal revision surgery, previous pedicle screws (PS) may need to be replaced with new implants. Failure to accurately identify the brand of PS-based instrumentation preoperatively may increase the risk of perioperative complications. This study aimed to develop and validate an optimal deep learning (DL) model to identify the brand of PS-based instrumentation on plain radiographs of spine (PRS) using anteroposterior (AP) and lateral images. A total of 529 patients who received PS-based instrumentation from seven manufacturers were enrolled in this retrospective study. The postoperative PRS were gathered as ground truths. The training, validation, and testing datasets contained 338, 85, and 106 patients, respectively. YOLOv5 was used to crop out the screws' trajectory, and the EfficientNet-b0 model was used to develop single models (AP, Lateral, Merge, and Concatenated) based on the different PRS images. The ensemble models were different combinations of the single models. Primary outcomes were the models' performance in accuracy, sensitivity, precision, F1-score, kappa value, and area under the curve (AUC). Secondary outcomes were the relative performance of models versus human readers and external validation of the DL models. The Lateral model had the most stable performance among single models. The discriminative performance was improved by the ensemble method. The AP + Lateral ensemble model had the most stable performance, with an accuracy of 0.9434, F1 score of 0.9388, and AUC of 0.9834. The performance of the ensemble models was comparable to that of experienced orthopedic surgeons and superior to that of inexperienced orthopedic surgeons. External validation revealed that the Lat + Concat ensemble model had the best accuracy (0.9412). The DL models demonstrated stable performance in identifying the brand of PS-based instrumentation based on AP and/or lateral images of PRS, which may assist orthopedic spine surgeons in preoperative revision planning in clinical practice.

"Ultralow-dose" CT Without Sedation in Pediatric Patients With Neuromuscular Scoliosis.

Children with neuromuscular scoliosis undergoing scoliosis surgery face substantial rates of complications. To mitigate surgical risks such as blood loss in pediatric patients with neuromuscular scoliosis, this study focuses on enabling instrumentation planning for their abnormal vertebral and pelvic anatomy and osteopenia. This study assessed the feasibility of an "ultralow-dose" CT (ULD CT) protocol without sedation in pediatric patients with neuromuscular scoliosis who often have comorbid movement disorders. Our prospective quality improvement study aims: (1) to determine if ULD CT without sedation is feasible in this patient group; (2) to quantify the radiation dose from ULD CT and compare it with preoperative spine radiographs (XR); and (3) to assess if ULD CT allows accurate anatomical assessment and intraoperative navigation given the prevalence of movement disorders. Children with neuromuscular scoliosis underwent spine XR and ULD CT scans. Chart reviews assessed disease etiology and comorbidities. Radiation dose was quantified through Monte-Carlo simulations giving dose indices and effective dose, with statistical analysis done using a paired student's t-test (α=0.05). CT image quality was assessed for its use in preoperative planning and intraoperative navigation. Fourteen patients (5 males, 9 females, average age 14±3y) participated. One patient needed sedation due to autism spectrum disorder and global developmental delay. The radiation dose for spine XR was 0.5±0.2mSv, and ULD CT was 0.6±0.1mSv. There was no statistically significant difference in radiation doses between methods. All ULD CT scans had adequate quality for preoperative assessment of pedicle diameter and orientation, obstacles impeding pedicle entry, S2 Alar-Iliac screw orientation, and intraoperative navigation. ULD CT without sedation is feasible for children with neuromuscular scoliosis. Radiation doses were comparable to standard radiographs. ULD CT provided accurate anatomical assessments and supported intraoperative navigation, proving beneficial despite movement disorders in these patients. Level 2-Development of diagnostic criteria on basis of consecutive patients (with universally applied reference widely accepted standard).

Machine learning identifies clusters of the normal adolescent spine based on sagittal balance.

This study applied a machine learning semi-supervised clustering approach to radiographs of adolescent sagittal spines from a single pediatric institution to identify patterns of sagittal alignment in the normal adolescent spine. We sought to explore the inherent variability found in adolescent sagittal alignment using machine learning to remove bias and determine whether clusters of sagittal alignment exist. Multiple semi-supervised machine learning clustering algorithms were applied to 111 normal adolescent sagittal spines. Sagittal parameters for resultant clusters were determined. Machine learning analysis found that the spines did cluster into distinct groups with an optimal number of clusters ranging from 3 to 5. We performed an analysis on both 3 and 5-cluster groups. The 3-cluster groups analysis found good consistency between methods with 96 of 111, while the analysis of 5-cluster groups found consistency with 105 of 111 spines. When assessing for differences in sagittal parameters between the groups for both analyses, there were differences in T4-12 TK, L1-S1 LL, SS, SVA, PI-LL mismatch, and TPA. However, the only parameter that was statistically different for all groups was SVA. Based on machine learning, the adolescent sagittal spine alignments do cluster into distinct groups. While there were distinguishing features with TK and LL, the most important parameter distinguishing these groups was SVA. Further studies may help to understand these findings in relation to spinal deformities.