Lumbar Magnetic Resonance Imaging Research Articles

Diagnostic performance of dual-energy CT with electron-density reconstruction for lumbar disc herniation

Background: Magnetic resonance imaging (MRI) is used for the evaluation of degenerative spinal disease. However, its utility is restricted in routine practice because of contraindications and a lack of widespread availability. Dual-energy computed tomography (DECT) is a newer technique for the evaluation of degenerative spinal disease.Objectives: This study aimed to evaluate the diagnostic performance of DECT with electron-density (ED) image reconstruction compared to standard CT for the detection of lumbar disc herniation, with MRI as the gold standard.Method: The retrospective study included 84 patients between 01 July 2023 to 31 December 2023 who underwent DECT and 1.5-T MRI within 1 week. Four radiologists, blinded to the clinical and MRI information, independently evaluated the standard CT series and DECT series with ED reconstructions for lumbar disc herniation and spinal nerve root impingement. The gold standard for comparison was lumbar spine MRI, and diagnostic accuracy was measured with sensitivity and specificity.Results: MRI revealed 417 lumbar disc herniations. Dual-energy computed tomography with ED reconstruction showed higher sensitivity (86.36% [532/616] vs. 57.79% [356/616]) and specificity (96.86% [1019/1052] vs. 95.82% [1008/1052]) for the detection of lumbar disc herniation compared to standard CT.Conclusion: Dual-energy computed tomography with ED reconstruction shows better diagnostic performance for the detection of lumbar disc herniation compared to standard CT and can be a useful alternative imaging modality when MRI is contraindicated or unavailable.Contribution: This study shows the usefulness of DECT as an alternative imaging technique for screening of degenerative spinal disease whenever MRI is contraindicated or unavailable.

Focal classic intradural extramedullary ependymoma near the conus medullaris: A case report and literature review

Rationale: To enhance clinicians’ comprehension of conus medullaris region ependymomas and elevate their diagnostic accuracy. Patient concerns: A 26-year-old female patient had 10 months of low back pain and right lower limb pain. Diagnoses: Lumbar magnetic resonance imaging (MRI) scan revealed a circular abnormal signal in the spinal canal at the level of L2. Pathological examination confirmed classic ependymoma. Interventions: The patient underwent tumor resection surgery. Outcomes: Postoperatively, the patient’s right lower limb soreness improved, and no new neurological deficits were observed. Lessons: Focal classic intradural extramedullary ependymomas near the conus medullaris are rare. Close follow-up with MRI of the craniospinal axis is necessary. Hormonal factors may influence the development of ependymomas in this unusual location. The appearance of these tumors on MRI and contrast-enhanced MRI scans is variable.

Anatomical assessment of the Kambin's triangle for percutaneous posterolateral transforaminal endoscopic surgery of lumbar intervertebral discs: a magnetic resonance imaging based study.

The aim of the present study was to utilize magnetic resonance imaging (MRI) as a noninvasive tool for evaluation of the Kambin's triangle safe zone. Lumbar MRIs of 67 healthy subjects were analyzed. On the coronal plane, the distance from the superior endplate to the nerve root exiting from the dura (distance a), the distance from the lateral aspect of the dura to the medial aspect of the nerve root (distance b), and the angle between the nerve root and plane of the corresponding disc (angle α) was measured. On the axial plane, the vertical distance from the upper facet surface to the exiting nerve root and root-disc distance was also measured. On the sagittal plane, foraminal height, diameter, nerve root-disc distance, and nerve root-pedicle distance were measured. On the coronal plane, right and left α angle was 50.78±4.43 (range, 48.52-51.84 degrees) and 51.07±4.08 (range, 49.25-51.91) degrees, respectively. Distance of right 'a' was 17.86±3.86 mm (range, 10.56-24.84 mm) and left 'a' was 18.03±3.73 mm (range, 10.98-24.82 mm), distance of right 'b' was 15.57±2.61 mm (range, 10.54-20.70 mm) and left 'b' was 15.46±2.68 mm (range, 10.93-19.23 mm). All these measurements increased as the spine level went down. Foraminal height and diameter decreased caudally. Nerve root-facet distance did not show change as the level went down. The study indicated that radiologic measurement is feasible to evaluate the anatomy of the Kambin's triangle. At lower lumbar levels, the exiting nerve root is at risk of injury.

Compare three deep learning-based artificial intelligence models for classification of calcified lumbar disc herniation: a multicenter diagnostic study

ObjectiveTo develop and validate an artificial intelligence diagnostic model for identifying calcified lumbar disc herniation based on lateral lumbar magnetic resonance imaging(MRI).MethodsDuring the period from January 2019 to March 2024, patients meeting the inclusion criteria were collected. All patients had undergone both lumbar spine MRI and computed tomography(CT) examinations, with regions of interest (ROI) clearly marked on the lumbar sagittal MRI images. The participants were then divided into separate sets for training, testing, and external validation. Ultimately, we developed a deep learning model using the ResNet-34 algorithm model and evaluated its diagnostic efficacy.ResultsA total of 1,224 eligible patients were included in this study, consisting of 610 males and 614 females, with an average age of 53.34 ± 10.61 years. Notably, the test datasets displayed an impressive classification accuracy rate of 91.67%, whereas the external validation datasets achieved a classification accuracy rate of 88.76%. Among the test datasets, the ResNet34 model outperformed other models, yielding the highest area under the curve (AUC) of 0.96 (95% CI: 0.93, 0.99). Additionally, the ResNet34 model also exhibited superior performance in the external validation datasets, exhibiting an AUC of 0.88 (95% CI: 0.80, 0.93).ConclusionIn this study, we established a deep learning model with excellent performance in identifying calcified intervertebral discs, thereby offering a valuable and efficient diagnostic tool for clinical surgeons.

THE ASSOCIATION BETWEEN FACET JOINT TROPISM AND LUMBAR DISC HERNIATION

ABSTRACT Background/Aims: Facet joint tropism is thought to be associated with lumbar disc herniation (LDH), but this relationship has not been fully established. The aim of this study was to investigate the relationship between facet joint tropism and LDH in patients (25-30 years old and body-mass index 28-30 kg/m²) using computed tomography (CT) and lumbar magnetic resonance imaging (MRI). Methods: Facet joint angles were measured on lumbar MRI and CT images of 24 male patients with left-sided LDH; 16 patients with right-sided LDH. Facet joint angle was measured by calculating the angle of the facet joints with the vertebral sagittal line in axial sections parallel to the end plate plane. Patients with trauma, rheumatic and oncologic diseases, additional lumbar or spinal and systemic diseases, patients with far lateral, foraminal and central lumbar disc herniations were excluded. Results: The mean left facet joint angle was 44,56º+/-11,29° and the mean right facet joint angle was 41,2º+/-11,27° in 24 patients with left-sided LDH. In 16 patients with right-sided LDH, the mean right facet joint angle was 45,87º +/-16,41°and the mean left facet joint angle was 42,74º+/-12,54°. Conclusions: In the statistical evaluation, no significant correlation was found between LDH and facet joint angle, but in the numerical analysis, it was observed that the left facet joint angle was larger in patients with left-sided LDH and the right facet joint angle was larger in patients with right-sided LDH.

How much does an MRI change over a period of up to 2years in patients with chronic low back pain? Is a repeated MRI really necessary in the follow-up of patients with chronic low back pain?

Clinical practices vary between healthcare providers when it comes to asking for a Magnetic Resonance Imaging (MRI) during follow-up for chronic low-back pain (LBP). The association between progressive changes on the MRI and the clinical relevance of these findings is not clearly defined. The objective of our study is to investigate to what extent do MRI findings change during a period less than or equal to two years in patients with chronic LBP. We question the efficacy of its routinary use as a tool for follow-up and we also study the correlation between new changes on MRI and modifications in therapeutic attitude. Data was collected from 468 lumbar spine MRIs from 209 patients undergoing two or more MRIs between January 2015 and December 2019 with a mean of 2.24 MRIs per patient. The evaluated data included diagnosis, reason for request, MRI findings and treatment offered post-MRI. MRIs were assessed according to a standardized scoring system from 0 to 14 points according to the severity in findings (modified Babinska Score). Radiological changes were defined as increased severity of findings in the most affected segment. 51.06% of MRI requests had no documented reason to be asked for. The average score of the findings on the first MRI was 5,733 (SD 2,462) and 6,131 (SD 2,376) on the second, not reaching a statistically significant difference (p = 0.062). There was no difference on the findings between the first and the second MRI in 40, 15% (n = 104) and up to 89, 96% with only mild changes (-1/ + 2 points over 14 possibles). After repeating the MRI, no modification to the treatment plan was made in 44, 79% of patients (n = 116) and only in 11.58% (n = 30) was surgical treatment indicated. The rate of lumbar MRI has risen to an alarming pace without evidence of consequent improvements in patient outcomes. A significant number of repeated MRIs did not show radiological changes, nor did they give rise to further surgical treatment after obtaining these images. This study should help to review the real applications of clinical guides on the appropriate use for image tests.

Improving Osteoporosis Prediction Using Vertebral Bone Quality Score and Paravertebral Muscle Measurements From Lumbar MRI Scans.

Retrospective cohort. This study aims to use a novel method of combining vertebral bone quality score with paravertebral cross-sectional area measurements to improve the accuracy of predicting individuals with total hip T-scores <-2.5. Osteoporosis is a prevalent skeletal condition associated with decreased bone density and increased fracture risk. Dual-energy x-ray absorptiometry (DXA) is the conventional method for diagnosing osteoporosis, but it has limitations. Opportunistic osteoporosis screening techniques using lumbar magnetic resonance imaging (MRI), particularly the vertebral bone quality (VBQ) score, have shown promise. This study aims to improve the accuracy of predicting individuals with low total hip T-scores using a novel method that combines VBQ scores with paravertebral cross-sectional area (CSA) measurements. A retrospective cohort of 98 patients with DXA and lumbar MRI scans was analyzed. VBQ scores were calculated based on lumbar MRI images, and CSA measurements of paravertebral and psoas muscles were obtained. Threshold-based logistic regression was used to identify optimal thresholds for predicting total hip T-scores <-2.5. The combined model incorporating the VBQ score and paravertebral muscle percent achieved an accuracy of 96.9% for predicting total hip T-scores <-2.5, compared to 81.6% when using the VBQ score alone. Incorporating paravertebral muscle measurements significantly improved the accuracy of identifying osteoporotic individuals. The combination of VBQ score and paravertebral muscle measurements enhances the accuracy of predicting individuals with low total hip T-scores. Lumbar MRI scans provide valuable information beyond opportunistic osteoporosis screening, and the inclusion of paravertebral muscle measurements could aid in identifying at-risk individuals more accurately.

A successful combined spinal-epidural anesthesia for cesarean section in a patient with neurofibromatosis type 1-associated dural ectasia.

Dural ectasia is a common manifestation of neurofibromatosis type 1. Although there have been reports of unsuccessful spinal anesthesia due to dual ectasia in Marfan syndrome, reports describing similar unsuccessful spinal anesthesia in neurofibromatosis type 1 are lacking. A parturient with neurofibromatosis type 1 was scheduled for a repeat cesarean section. During a previous cesarean section, she had experienced a failed spinal anesthesia, which resulted in a conversion to general anesthesia. Preoperative lumbar magnetic resonance imaging revealed dural ectasia, which was speculated to be the cause of the previous spinal anesthesia failure. Therefore, combined spinal-epidural anesthesia was implemented. Because the block level of spinal anesthesia was insufficient as predicted, supplemental administration of epidural anesthesia successfully provided adequate analgesia for the surgery. Combined spinal-epidural anesthesia can be useful for the management of cesarean sections in patients with neurofibromatosis type 1-associated dural ectasia.

Assessing the Correlation Between the Lumbar Disc Herniation Degree and Multifidus Muscle Fatty Degeneration in Chronic Low Back Pain.

Chronic low back pain (LBP) is a common condition primarily associated with lumbar disc herniation. Fatty degeneration of the multifidus muscle is also observed in the majority (>80%) of patients with LBP. This retrospective study included 140 patients (72 females and 68 males) with chronic LBP. 3T lumbar magnetic resonance imaging (MRI) T1- and T2-weighted fast spin-echo sequences were used for radiological evaluation. Disc herniations were graded according to the degree of bulging, protrusion, extrusion, and sequestration. Multifidus fatty infiltration was semiquantitatively graded from grade 1 (normal) to grade 4 (severe). Multifidus fatty degeneration was more common in females compared to males at the L4-L5 and L5-S1 levels (p-values <000.1 and <000.1, respectively). There was no correlation between disc herniation at the L4-L5 and L5-S1 levels and fatty degeneration of the multifidus muscle (p values 0.426 and 0.170). There was a statistically significant positive correlation between multifidus fatty degeneration at L4-L5 and L5-S1 levels and increasing age (p<000.1, r-values 0.462 and 0.357, respectively). In contrast, there was no correlation between age and L4-L5 and L5-S1 herniation grades (p values 0.167 and 0.723, respectively). Fatty degeneration grades were generally higher in females and increased with age at L4-L5 and L5-S1 levels in both genders (p<0.001). The frequency and degree of fatty degeneration of the multifidus muscle increasewith age, especially in women, and donot correlate with the presence of a herniated disc.

Comparison of different MRI-based unsupervised segmentation algorithms in predicting sarcopenia

PurposeTo compare the performance of MRI-based Gaussian mixture model (GMM), K-means clustering, and Otsu unsupervised algorithms in predicting sarcopenia and to develop a combined model by integrating clinical indicators. MethodsRetrospective analysis was conducted on clinical and lumbar MRI data from 118 patients diagnosed with sarcopenia and 222 patients without the sarcopenia. All patients were randomly divided into training and validation groups in a 7:3 ratio. Regions of interest (ROI), specifically the paravertebral muscles at the L3/4 intervertebral disc level, were delineated on axial T2-weighted images (T2WI). The Gaussian mixture model (GMM), K-means clustering, and Otsu’s thresholding algorithms were employed to automatically segment muscle and adipose tissues at both the cohort and case levels. Subsequently, the mean signal intensity, volumes, and percentages of these tissues were calculated and compared. Logistic regression analyses were conducted to construct models and identify independent predictors of sarcopenia. An combined model was developed by combining the optimal magnetic resonance imaging (MRI) model and clinical predictors. The performance of the constructed model was assessed using receiver operating characteristic (ROC) curve analysis. ResultsAge, BMI, and serum albumin were identified as independent clinical predictors of sarcopenia. The cohort-level GMM demonstrated the best predictive performance both in the training group (AUC=0.840) and validation group (AUC=0.800), while the predictive performance of the other models was lower than that of the clinical model both in the training and validation groups. After combining the cohort-level GMM with the independent clinical predictors, the AUC of the training and validation groups increased to 0.871 and 0.867, respectively. ConclusionThe cohort-level GMM shows potential in predicting sarcopenia, and the incorporation of independent clinical predictors further increased the performance.

Waterpipe Smoking and Lumbar Intervertebral Disc Degeneration: A Pilot Study.

Retrospective study. The objective of this study is to investigate the association of waterpipe smoking with lumbar intervertebral disc degeneration (IVDD). This is a retrospective chart review study. A total of 286 adults who underwent a lumbar magnetic resonance imaging (MRI) at a tertiary medical center were included and divided into three groups. Group 1 (n = 125) included non-smokers, group 2 (n = 80) smoked cigarettes only, and group 3 (n = 81) smoked waterpipe only. The intervertebral discs were graded using the Pfirmann disc degeneration grading system. The study showed higher lumbar disc degeneration scores for waterpipe and cigarette smokers compared to non-smokers at all spinal levels. Specifically, post hoc analysis showed that there was a significant difference at L1-L2 between cigarette smokers and non-smokers (P = 0.007) and between waterpipe smokers and non-smokers (P = 0.013), and a significant difference at L3-L4 and L4-L5 between non-smokers and cigarettes smokers (P < .001 and P = .029 respectively). Waterpipe smoking is associated with lumbar intervertebral disc degeneration.

Deep learning-based structure segmentation and intramuscular fat annotation on lumbar magnetic resonance imaging.

Lumbar disc herniation (LDH) is a prevalent cause of low back pain. LDH patients commonly experience paraspinal muscle atrophy and fatty infiltration (FI), which further exacerbates the symptoms of low back pain. Magnetic resonance imaging (MRI) is crucial for assessing paraspinal muscle condition. Our study aims to develop a dual-model for automated muscle segmentation and FI annotation on MRI, assisting clinicians evaluate LDH conditions comprehensively. The study retrospectively collected data diagnosed with LDH from December 2020 to May 2022. The dataset was split into a 7:3 ratio for training and testing, with an external test set prepared to validate model generalizability. The model's performance was evaluated using average precision (AP), recall and F1 score. The consistency was assessed using the Dice similarity coefficient (DSC) and Cohen's Kappa. The mean absolute percentage error (MAPE) was calculated to assess the error of the model measurements of relative cross-sectional area (rCSA) and FI. Calculate the MAPE of FI measured by threshold algorithms to compare with the model. A total of 417 patients being evaluated, comprising 216 males and 201 females, with a mean age of 49 ± 15 years. In the internal test set, the muscle segmentation model achieved an overall DSC of 0.92 ± 0.10, recall of 92.60%, and AP of 0.98. The fat annotation model attained a recall of 91.30%, F1 Score of 0.82, and Cohen's Kappa of 0.76. However, there was a decrease on the external test set. For rCSA measurements, except for longissimus (10.89%), the MAPE of other muscles was less than 10%. When comparing the errors of FI for each paraspinal muscle, the MAPE of the model was lower than that of the threshold algorithm. The models demonstrate outstanding performance, with lower error in FI measurement compared to thresholding algorithms.

Opportunistic use of lumbar computed tomography and magnetic resonance imaging for osteoporosis screening.

The purpose of this study is to determine whether the opportunistic use of computed tomography (CT) or magnetic resonance imaging (MRI) is effective for identifying spine surgical patients with OP. We retrospectively evaluated 109 lumbar spine surgery patients who received lumbar quantitative CT (QCT) and MRI. Using the area under the curve, the CT-based HU value and MRI-based VBQ score were calculated. Then, based on the QCT results, receiver operating characteristic (ROC) curves were constructed to determine the diagnostic performance of the HU value and VBQ score. The HU value was significantly lower in the OP group, and the VBQ score was significantly higher in the OP group. Using the area under the curve, the diagnostic performance of the HU value and VBQ score for OP were 0.959 and 0.880, respectively. The diagnostic threshold values determined with optimal sensitivity and specificity were an HU value of 97.06 and a VBQ score of 3.08. Opportunistic use of CT and MRI can simply distinguish patients with OP, which are expected to be potential alternatives to T-score for the osteoporosis screening.

CT-based surrogate parameters for MRI-based disc height and endplate degeneration in the lumbar spine

PurposeThis study investigated potential use of computed tomography (CT)-based parameters in the lumbar spine as a surrogate for magnetic resonance imaging (MRI)-based findings.MethodsIn this retrospective study, all individuals, who had a lumbar spine CT scan and MRI between 2006 and 2012 were reviewed (n = 198). Disc height (DH) and endplate degeneration (ED) were evaluated between Th12/L1-L5/S1. Statistics consisted of Spearman correlation and univariate/multivariable regression (adjusting for age and gender).ResultsThe mean CT-DH increased kranio-caudally (8.04 millimeters (mm) at T12/L1, 9.17 mm at L1/2, 10.59 mm at L2/3, 11.34 mm at L3/4, 11.42 mm at L4/5 and 10.47 mm at L5/S1). MRI-ED was observed in 58 (29%) individuals. CT-DH and MRI-DH had strong to very strong correlations (rho 0.781-0.904, p < .001). MRI-DH showed higher absolute values than CT-DH (mean of 1.76 mm). There was a significant association between CT-DH and MRI-ED at L2/3 (p = .006), L3/4 (p = .002), L4/5 (p < .001) and L5/S1 (p < .001). A calculated cut-off point was set at 11 mm.ConclusionsIn the lumbar spine, there is a correlation between disc height on CT and MRI. This can be useful in trauma and emergency cases, where CT is readily available in the lack of an MRI. In addition, in the middle and lower part of the lumbar spine, loss of disc height on CT scans is associated with more pronounced endplate degeneration on MRIs. If the disc height on CT scans is lower than 11 mm, endplate degeneration on MRIs is likely more pronounced.Level and designLevel III, a retrospective study.

TRUNK MUSCLE MASS MEASURED BY BIOELECTRICAL IMPEDANCE ANALYSIS REFLECTS THE CROSS-SECTIONAL AREA OF THE PARAVERTEBRAL MUSCLES AND BACK EXTENSOR STRENGTH

BackgroundTrunk muscles play an important role in supporting the spinal column. A decline in trunk muscle mass, as measured by bioelectrical impedance analysis (TMM–BIA), is associated with low back pain and poor quality of life.PurposeThe purpose of this study was to determine whether TMM–BIA correlates with quantitative and functional assessments traditionally used for the trunk muscles.MethodsWe included 380 participants (aged ≥ 65 years; 152 males, 228 females) from the Shiraniwa Elderly Cohort (Shiraniwa) study, for whom the following data were available: TMM–BIA, lumbar magnetic resonance imaging (MRI), and back muscle strength (BMS). We measured the cross-sectional area (CSA) and fat-free CSA of the paravertebral muscles (PVM), including the erector spinae (ES), multifidus (MF), and psoas major (PM), on an axial lumbar MRI at L3/4. The correlation between TMM–BIA and the CSA of PVM, fat-free CSA of PVM, and BMS was investigated.ResultsTMMBIA correlated with the CSA of total PVM and each individual PVM. A stronger correlation between TMM–BIA and fat-free CSA of PVM was observed. The TMM–BIA also strongly correlated with BMS.ConclusionTMM–BIA is an easy and reliable way to evaluate the trunk muscle mass in a clinical setting.Conflict of interestNoneSources of fundingNone

Diagnostic Efficacy of Posterior Epidural Fat Interposition on Magnetic Resonance T1-Weighted Sequence in the Diagnosis of Spondylolysis

Supportive radiologic signs may be needed to diagnose spondylolysis via lumbar magnetic resonance imaging (MRI). In spondylolysis (SL), the slight displacement of the corpus forward and lamina posteriorly can cause the interposition of posterior epidural fat (EFI), which is normally segmental. This study aimed to determine the diagnostic value of EFI, an indirect sign of SL, on lumbar mid-sagittal T1-weighted MRI. The lumbar MRI of 115 randomly selected patients with SL and degenerative disc disease (DDD) was randomized and assessed for the presence or absence of EFI by two masked observers. These observers were not permitted to examine the pars region. Inter-observer agreement was tested using Cohen's kappa coefficient. EFI was positive in 98 (85%) of 115 patients with SL, 14 (12%) in the DDD group, and 6 (5%) with an upper vertebral level adjacent to the SL. The difference was statistically significant (P < 0.01). In patients with SL, the EFI positivity rate was highest at L5 (94%) and lowest at L3 (33%). EFI positivity was observed in 13% of the patients with DDD. The specificity, sensitivity, positive predictive value, negative predictive value, and accuracy of EFI in diagnosing SL were mean 79%, 89%, 96%, 86%, and 96%, respectively. The highest diagnostic value of EFI was at the L5 level, where intra- and inter-observer reliability were nearly perfect. Epidural fat interposition is an indirect radiological finding with high reliability in diagnosing spondylolysis with mid-sagittal T1-weighted images in lumbar MRI.

Musculoskeletal Dimension and Brightness Reference Values in Lumbar Magnetic Resonance Imaging-A Radio-Anatomic Investigation in 80 Healthy Adult Individuals.

Background/Objectives: Magnetic resonance imaging (MRI) is the preferred diagnostic means to visualize spinal pathologies, and offers the possibility of precise structural tissue analysis. However, knowledge about MRI-based measurements of physiological cross-sectional musculoskeletal dimensions and associated tissue-specific average structural brightness in the lumbar spine of healthy young women and men is scarce. The current study was planned to investigate characteristic intersexual differences and to provide MRI-related musculoskeletal baseline values before the onset of biological aging. Methods: At a single medical center, lumbar MRI scans of 40 women and 40 men aged 20-40 years who presented with moderate nonspecific low back pain were retrospectively evaluated for sex-specific differences in cross-sectional sizes of the fifth lumbar vertebrae, psoas and posterior paravertebral muscles, and respective sex- and age-dependent average brightness alterations on T2-weighted axial sections in the L5-level. Results: In women (mean age 33.5 years ± 5.0 (standard deviation)), the investigated musculoskeletal cross-sectional area sizes were significantly smaller (p < 0.001) compared to those in men (mean age 33.0 years ± 5.7). Respective average musculoskeletal brightness values were higher in women compared to those in men, and most pronounced in posterior paravertebral muscles (p < 0.001). By correlating brightness results to those of subcutaneous fat tissue, all intersexual differences, including those between fifth lumbar vertebrae and psoas muscles, turned out to be statistically significant. This phenomenon was least pronounced in psoas muscles. Conclusions: Lumbar musculoskeletal parameters showed significantly larger dimensions of investigated anatomical structures in men compared to those in women aged 20-40 years, and an earlier onset and faster progress of bone loss and muscle degradation in women.

Correlation of MRI-Evaluated Degenerative Disc Disease with Positivity on Single-Photon Emission Computed Tomography Imaging in Patients with Chronic Low Back Pain

Chronic low back pain, affecting up to 58% of the population, often stems from intervertebral disc degeneration. Although magnetic resonance imaging (MRI) is commonly used for diagnostics, challenges arise in pinpointing pain sources due to frequent asymptomatic findings. Single-photon emission tomography (SPECT) integrated with computed tomography (CT) offers a promising approach, enhancing sensitivity and specificity. In this retrospective study, spanning 2016 to 2022, SPECT/CT imaging was performed on 193 patients meeting specific criteria. We correlated SPECT/CT findings with lumbar MRI results, utilizing Pfirrmann and Rajasekaran classifications for disc degeneration and endplate damage assessment. Logistic regression analysis adjusted for age and sex evaluated associations. Of 965 spinal levels assessed, SPECT/CT positivity strongly correlated with higher Pfirrmann grades and Rajasekaran endplate classifications. Notably, Modic changes (MCs) on MRI displayed a nonsignificant relationship with SPECT/CT positivity. Significant associations were observed in older patients with positive MCs, Pfirrmann grades, and Rajasekaran classifications. This comprehensive study, the largest of its kind, establishes a significant link between SPECT/CT positivity and advanced lumbar degenerative changes. Higher Pfirrmann grades and increased Rajasekaran endplate damage demonstrated substantial correlations with SPECT/CT positivity. Notably, MCs did not exhibit such association. Our findings underscore the potential of SPECT/CT in identifying pain generators in degenerative spinal conditions, offering valuable insights for future interventions.

The Quantitative Evaluation of Automatic Segmentation in Lumbar Magnetic Resonance Images.

This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net's segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Identification and impact of failure of pelvic compensation in patients with adult spinal deformity

BACKGROUND CONTEXTPrevious research has identified a specific subtype known as failure of pelvic compensation (FPC) in patients with adult spinal deformity (ASD). However, the criteria for assessing FPC remain inconsistent, and its impacts on spinal sagittal alignment and health-related quality-of-life (HRQoL) scores remain unclear. PURPOSETo propose a novel criterion for identifying FPC based on variations in spinopelvic alignment during the transition from the supine to upright position and to evaluate the effects of FPC on patients' spinal sagittal alignment and HRQoL scores. STUDY DESIGN/SETTINGRetrospective cross-sectional study. PATIENT SAMPLEPatients with ASD from a monocenter database. OUTCOME MEASURESRadiographic measures, including thoracic kyphosis (TK), lumbar lordosis (LL), sacral slope (SS), pelvic tilt, pelvic incidence (PI), and sagittal vertical axis (SVA), were measured on lateral whole-spine radiographs. LL and SS were also measured on reconstructed lumbar computed tomography images in the sagittal view taken in the supine position. The relative functional cross-sectional area (rFCSA) of paraspinal muscles was evaluated via lumbar magnetic resonance imaging. HRQoL measures, encompassing visual analog scale for back pain (VAS-BP), Oswestry Disability Index (ODI), and Scoliosis Research Society-22R (SRS-22R), were collected. METHODSA total of 154 patients were enrolled. Based on the calculated minimum detectable change of SS, FPC was defined as the change in SS of less than 3.4° between supine and upright positions. Patients were divided into 3 groups: sagittal balance with pelvic compensation (SI-PC), sagittal imbalance with pelvic compensation (SI-PC), and sagittal imbalance with failure of pelvic compensation (SI-FPC). Radiographic parameters and HRQoL scores were compared among the groups. RESULTSThirty-six patients were categorized into the SB-PC group, 87 into the SI-PC group, and 31 into the SI-FPC group. Patients with low PI and small paraspinal muscles rFCSA were more prone to experiencing FPC accompanied by severe sagittal imbalance. The SI-FPC group exhibited less TK and a larger SS than the SI-PC group exhibited and had a similar SVA as that of the SI-PC group. Additionally, they displayed worse VAS-BP, ODI, SRS-function, and SRS-22 total scores than the SB-PC group displayed. CONCLUSIONSIn patients with ASD, an inherently low pelvic compensatory reserve and a high fatty infiltration in paraspinal muscles are pivotal factors contributing to FPC. Compared with SI-PC patients, SI-FPC patients demonstrate a thoracic-dominant compensatory pattern for sagittal malalignment. In addition, these patients experienced more severe pain and functional decline than the SB-PC patients experienced.