Infrarenal aortic diameter, aortoiliac bifurcation level and lumbar disc degenerative changes: a cross-sectional MR study

Automatic Detection, Classification, and Grading of Lumbar Intervertebral Disc Degeneration Using an Artificial Neural Network Model

BACKGROUND AND OBJECTIVES

Intervertebral disc degeneration (IDD) is a common cause of symptomatic axial low back pain. Magnetic resonance imaging (MRI) is currently the standard for the investigation and diagnosis of IDD. Deep learning artificial intelligence models represent a potential tool for rapidly and automatically detecting and visualizing IDD. This study investigated the use of deep convolutional neural networks (CNNs) for the detection, classification, and grading of IDD.

METHODS

Sagittal images of 1000 IDD T2-weighted MRI images from 515 adult patients with symptomatic low back pain were separated into 800 MRI images using annotation techniques to create a training dataset (80%) and 200 MRI images to create a test dataset (20%). The training dataset was cleaned, labeled, and annotated by a radiologist. All lumbar discs were classified for disc degeneration based on the Pfirrmann grading system. The deep learning CNN model was used for training in detecting and grading IDD. The results of the training with the CNN model were verified by testing the grading of the dataset using an automatic model.

RESULTS

The training dataset of the sagittal intervertebral disc lumbar MRI images found 220 IDDs of grade I, 530 of grade II, 170 of grade III, 160 of grade IV, and 20 of grade V. The deep CNN model was able to detect and classify lumbar IDD with an accuracy of more than 95%.

CONCLUSION

The deep CNN model can reliably automatically grade routine T2-weighted MRIs using the Pfirrmann grading system, providing a quick and efficient method for lumbar IDD classification.

Ionizing radiation protection and the linear No-threshold controversy: Extent of support or counter to the prevailing paradigm

This study has developed a relationship that categorized radiation protection and allows for a proper, clear, and concise review of the different classifications in terms of principles of protection, dose criteria, categories, fundamental tools, exposure situations, applications and control measures. With the groundwork laid, advances of the linear no-threshold (LNT) model which has attracted attention in the field of radiobiology and epidemiology were examined in detail. Various plausible dose-response relationship scenarios were x-rayed under low-dose extrapolation. Intensive review of factors opposing the LNT model involving radiophobia (including misdiagnosis, alternative surgery/imaging, suppression of ionizing radiation (IR) research); radiobiology (including DNA damage repair, apoptosis/necrosis, senescence protection) and cost issues (including-high operating cost of LNT, incorrect prioritization, exaggeration of LNT impact, risk-to-benefit analysis) were performed. On the other hand, factors supporting the use of LNT were equally examined, they include regulatory bodies' endorsement, insufficient statistical significance, partial DNA repair, variability of irradiated bodies, different latency periods for cancer, dynamic nature of threshold and conflicting interests. After considering the gaps in the scientific investigations that either support or counter the scientific paradigm on the use of LNT model, further research and advocacy is recommended that will ultimately lead to the acceptance of an alternative paradigm by the international regulators.

[Low back pain and abdominal aortic aneurysm: Red flags]

Approximately 70% of adults will experience low back pain at some point in their life. Most of the cases cannot be identified a cause, being nonspecific pains. The clinical guidelines on the management of low back pain indicate suspecting the presence of serious processes by means of the so-called red flags. Abdominal aortic aneurysm in 91% of cases is accompanied by low back pain, hence its importance of including it as a differential diagnosis. We present the case of a 75-year-old man with low back pain, without improvement with conservative treatment, referred to a rehabilitation consultation 3months after the onset of symptoms, and in the event of warning signs, imaging studies are requested that show abdominal aortic aneurysm and mass right kidney. We must bear in mind the red flags in patients with low back pain, and thus avoid outcomes that can put their lives at risk.

Radiation protection among health care workers: knowledge, attitude, practice, and clinical recommendations: a systematic review

OBJECTIVES

This study was performed to determine the knowledge, attitude, and practice (KAP) of health care workers (HCWs) towards radiation protection.

METHODS

In this systematic review study, three international databases (Web of Science, PubMed, Scopus) were searched for related published articles in the English language from 1 January 2000 to 1 February 2020. The quality of the included studies was evaluated using the Hoy et al. tool.

RESULTS

Out of the 1,848 studies examined, 41 studies that were performed on 11,050 HCWs were included in the final stage. The results indicated that in most studies, more than half (50%) of the participants had average knowledge. Furthermore, 60% of the participants had a positive attitude, but in most studies, they had average practice regarding radiation protection. The most important recommendation for improving KAP among the participants was incorporating radiation protection standards in the student curriculum.

CONCLUSION

Considering the results of the study, further attention should be paid to proper education regarding radiation protection standards and improvement of HCW performance.

Relationship of aortic bifurcation with sacropelvic anatomy: Application to anterior lumbar interbody fusion

INTRODUCTION

Various sacropelvic parameters such as the pelvic Incidence (PI) are used to predict ideal lumbar lordosis and aid surgical planning. The objective of this study was to establish the relationship between the location of the aortic bifurcation from the sacral promontory and sacropelvic measures including the PI.

MATERIALS AND METHODS

One hundred sixty five computed tomography (CT) scans obtained for major trauma including the entire spine were identified. Sacropelvic parameters including PI, sacral anatomic orientation, pelvic thickness (PTH), and sacral table angle were measured. Aortic bifurcation was identified on sagittal and coronal imaging and the distance from the sacral promontory (bifurcation-promontory distance [BPD]) measured (mm).

RESULTS

Mean age of the cohort was 44.3 years (SD 18.5; range 16-88 years); 61.8% male. The mean PI was 49.2° (SD 10.2°; range 30°-80°). The mean BPD was 66.4 mm (SD 13.1 mm; range 38.3-100 mm). In the majority, the bifurcation was at the level of the L4 vertebral body (72.7%). Only age (r = -.389; p < .0001) and PTH (r = .172; p = .027) correlated with the BPD to a significant degree. PI did not correlate with BPD (r = .061; p = .435). Linear regression analysis provided the following predictive equation: BPD = 34.3 mm + 0.30 × PTH.

CONCLUSION

This study demonstrates a lack of any meaningful correlation between sagittal pelvic parameters and the distance of the aortic bifurcation from the sacral promontory. Surgical planning for fusion surgery in the lumbar spine should include assessment of spinopelvic parameters and if anterior access to the lumbar disc(s) necessary, vascular anatomy should be carefully assessed independent of these measures.