Structured image diagnosis of vertebral body degeneration and intervertebral disc damage - Binary image criteria and comparison for systematic image analysis for occupational diseases 2108 and 2110. / Strukturierte Bild-Befundung von Wirbelkörperdegeneration und Bandscheibenschäden ­ Binäre Bildkriterien und Vergleichsbilder für die systematische Bildanalyse bei den Berufskrankheiten 2108 und 2110.

BACKGROUND: Job-related limitations of earning capacity are eligible for recognition under social legislation and may be subject to compensation (see Part 1). METHOD: For the recognition of an occupational disease (BK), diagnostic imaging is required as part of the legal determination procedure for occupational diseases 2108/2110 ("occupational disc disease"). The focus is on image criteria on X-ray images and MRI examinations. In a consensus paper under the guidance of the German Social Accident Insurance Institutions from 2005, the characteristic patterns are defined and explained extensively and summarized in typical occupation-related constellations. This article presents representative image examples as a reference system for expert reporting as far as the typical patterns from the consensus paper are concerned. CONCLUSION: In Part 2, comparison images with the typical findings of the vertebral bodies and intervertebral discs according to occupational diseases are systematically presented, explained, and offered as a reference system for expert assessment. The image criteria can be used as "evidence by eye" (Heuck) in the recognition procedure. KEY POINTS: · Occupational diseases are defined by the legislator in the "List of Occupational Diseases".. · For occupational intervertebral disc diseases (OD nos. 2108/2110), constellations of findings are defined.. · Within the scope of diagnostic imaging, a large number of image criteria are used.. · Part 1 explains the basics and the legal background.. · Part 2 provides the image criteria on the basis of "comparison images" as a reference catalog.. CITATION FORMAT: · Braunschweig R, Kildal D, Meyer-Clement M et al. Structured image diagnosis of vertebral body degeneration and intervertebral disc damage - Binary image criteria and comparison for systematic image analysis for occupational diseases 2108 and 2110. Fortschr Röntgenstr 2024; DOI: 10.1055/a-2224-9100.

Brain structure ages-A new biomarker for multi-disease classification.

Age is an important variable to describe the expected brain's anatomy status across the normal aging trajectory. The deviation from that normative aging trajectory may provide some insights into neurological diseases. In neuroimaging, predicted brain age is widely used to analyze different diseases. However, using only the brain age gap information (i.e., the difference between the chronological age and the estimated age) can be not enough informative for disease classification problems. In this paper, we propose to extend the notion of global brain age by estimating brain structure ages using structural magnetic resonance imaging. To this end, an ensemble of deep learning models is first used to estimate a 3D aging map (i.e., voxel-wise age estimation). Then, a 3D segmentation mask is used to obtain the final brain structure ages. This biomarker can be used in several situations. First, it enables to accurately estimate the brain age for the purpose of anomaly detection at the population level. In this situation, our approach outperforms several state-of-the-art methods. Second, brain structure ages can be used to compute the deviation from the normal aging process of each brain structure. This feature can be used in a multi-disease classification task for an accurate differential diagnosis at the subject level. Finally, the brain structure age deviations of individuals can be visualized, providing some insights about brain abnormality and helping clinicians in real medical contexts.

Structured image diagnosis of vertebral body degeneration and disc damage - Binary image criteria and comparison for systematic image analysis in occupational diseases 2108/2110. / Strukturierte Bild-Befundung von Wirbelkörperdegeneration und Bandscheibenschäden ­ Binäre Bildkriterien und Vergleichs-Bilder für die systematische Bildanalyse bei den Berufskrankheiten 2108 und 2110.

BACKGROUND: Occupationally related limitations of earning capacity can be recognized under social legislation and may be subject to compensation ("reduction in earning capacity"). For this purpose, legislators have defined a list of occupational diseases ("BK list"). Recognition of an occupational disease requires a legal assessment procedure based on a medical appraisal. The aim of the assessment is to prove the "causality" and the "causality giving rise to liability". METHOD: In addition to clinical findings and workplace analyses, imaging methods (projection radiography, MRI) are primarily used to substantiate liability. These methods enable proof of load-conforming damage patterns for occupational diseases 2108/2110 (damage to intervertebral discs). RESULTS AND CONCLUSION: In addition to the legal background, the following review article primarily presents the image criteria for load-conforming damage patterns of the spine. On the basis of the consensus paper on the "Assessment of occupational disc diseases of the lumbar spine", image criteria are assigned to age-atypical grades of findings, and "typical constellations of findings" are defined for vibration (BK 2108) or lifting (BK 2110) loads. The aim of Part 1 is to explain the image criteria of the comparative images presented as image plates in Part 2 and thus to present a reference catalog of findings. KEY STATEMENTS: · Occupational diseases are defined by legislators in the "List of Occupational Diseases".. · For occupational intervertebral disc diseases (BK 2108/2110), constellations of findings are defined.. · In the context of imaging diagnostics, a large number of image criteria are used.. · Part 1 explains the basics.. · Part 2 provides the image criteria on the basis of "comparative images" as a reference catalog.. CITATION FORMAT: · Braunschweig R, Kildal D, Meyer-Clement M et al. Structured image diagnosis of vertebral body degeneration and disc damage - Binary image criteria and comparison for systematic image analysis in occupational diseases 2108/2110. Fortschr Röntgenstr 2024; 196: 347 - 353.

Deep grading for MRI-based differential diagnosis of Alzheimer's disease and Frontotemporal dementia.

Alzheimer's disease and Frontotemporal dementia are common forms of neurodegenerative dementia. Behavioral alterations and cognitive impairments are found in the clinical courses of both diseases, and their differential diagnosis can sometimes pose challenges for physicians. Therefore, an accurate tool dedicated to this diagnostic challenge can be valuable in clinical practice. However, current structural imaging methods mainly focus on the detection of each disease but rarely on their differential diagnosis. In this paper, we propose a deep learning-based approach for both disease detection and differential diagnosis. We suggest utilizing two types of biomarkers for this application: structure grading and structure atrophy. First, we propose to train a large ensemble of 3D U-Nets to locally determine the anatomical patterns of healthy people, patients with Alzheimer's disease and patients with Frontotemporal dementia using structural MRI as input. The output of the ensemble is a 2-channel disease's coordinate map, which can be transformed into a 3D grading map that is easily interpretable for clinicians. This 2-channel disease's coordinate map is coupled with a multi-layer perceptron classifier for different classification tasks. Second, we propose to combine our deep learning framework with a traditional machine learning strategy based on volume to improve the model discriminative capacity and robustness. After both cross-validation and external validation, our experiments, based on 3319 MRIs, demonstrated that our method produces competitive results compared to state-of-the-art methods for both disease detection and differential diagnosis.

Measurement of Intervertebral Disc Heights in the Lumbar Spine. Comparison of X-Ray and Magnetic Resonance Imaging, Method of Measurement and Determination of Inter-observer Reliability. / Messung der Bandscheibenhöhen in der Lendenwirbelsäule. Vergleich von Proiektionsradiographie und Kernspintomografie, Messmethode und Bestimmung der Inter-Observer-Reliabilität.

PURPOSE: Retrospective radiological examination (X-ray and MRI) aims to investigate the diagnostic value of various methods of measurement with regard to the determination of the intervertebral disc heights of the lumbar spine. METHODS: Of 130 patients without detectable damage to the intervertebral discs, the X-ray and MRI images of the lumbar spine were evaluated. The measurements were made either in the center line (Hurxthal) or in the 2-point method according to Dabbs or in the 3-point method according to Fyllos. RESULTS: The average intervertebral disc height for all measured segments was 8.8 mm (SD 1.4 mm). In the Hurxthal measurement, the significantly (p < 0.001) highest values were measured with an average of 9.1 mm (SD 1.3 mm). The average readings for the Fyllos method were 7.5 mm (SD 1.2 mm) and according to Dabbs 6.7 mm (SD 1.2 mm). The measured values of Observer I were on average 1.2 mm (SD 0.3 mm) smaller than those of Observer II (p < 0.001). The highest interobserver correlation was found in the measurements in projection radiography in the AP method according to Dabbs and Fyllos. The measured values in men were 0.5 mm (SD 0.01 mm) larger than in women (p < 0.001), regardless of the method. The height of the intervertebral discs increases significantly until the age of 40, but beyond the age of 40, the height of the intervertebral discs either remains constant or falls off slightly, but not significantly. The lordosis angle of the lumbar spine and the concavity index of the vertebral bodies showed no correlation with the measured disc heights. CONCLUSIONS: The radiological measurements to determine the intervertebral disc height have only moderate reliability. The results of X-rays are superior to those of MRI examination. The most accurate results are provided by measurements based on exact landmarks of the vertebral bodies. The method according to Dabbs seems to be the most accurate at the moment. There is no clear age-atypical chondrosis in patients without intervertebral disc damage.

Towards better interpretable and generalizable AD detection using collective artificial intelligence.

Alzheimer's Disease is the most common cause of dementia. Accurate diagnosis and prognosis of this disease are essential to design an appropriate treatment plan, increasing the life expectancy of the patient. Intense research has been conducted on the use of machine learning to identify Alzheimer's Disease from neuroimaging data, such as structural magnetic resonance imaging. In recent years, advances of deep learning in computer vision suggest a new research direction for this problem. Current deep learning-based approaches in this field, however, have a number of drawbacks, including the interpretability of model decisions, a lack of generalizability information and a lower performance compared to traditional machine learning techniques. In this paper, we design a two-stage framework to overcome these limitations. In the first stage, an ensemble of 125 U-Nets is used to grade the input image, producing a 3D map that reflects the disease severity at voxel-level. This map can help to localize abnormal brain areas caused by the disease. In the second stage, we model a graph per individual using the generated grading map and other information about the subject. We propose to use a graph convolutional neural network classifier for the final classification. As a result, our framework demonstrates comparative performance to the state-of-the-art methods in different datasets for both diagnosis and prognosis. We also demonstrate that the use of a large ensemble of U-Nets offers a better generalization capacity for our framework.

AssemblyNet: A large ensemble of CNNs for 3D whole brain MRI segmentation.

Whole brain segmentation of fine-grained structures using deep learning (DL) is a very challenging task since the number of anatomical labels is very high compared to the number of available training images. To address this problem, previous DL methods proposed to use a single convolution neural network (CNN) or few independent CNNs. In this paper, we present a novel ensemble method based on a large number of CNNs processing different overlapping brain areas. Inspired by parliamentary decision-making systems, we propose a framework called AssemblyNet, made of two "assemblies" of U-Nets. Such a parliamentary system is capable of dealing with complex decisions, unseen problem and reaching a relevant consensus. AssemblyNet introduces sharing of knowledge among neighboring U-Nets, an "amendment" procedure made by the second assembly at higher-resolution to refine the decision taken by the first one, and a final decision obtained by majority voting. During our validation, AssemblyNet showed competitive performance compared to state-of-the-art methods such as U-Net, Joint label fusion and SLANT. Moreover, we investigated the scan-rescan consistency and the robustness to disease effects of our method. These experiences demonstrated the reliability of AssemblyNet. Finally, we showed the interest of using semi-supervised learning to improve the performance of our method.

How effective and efficient are different exercise patterns in reducing back pain?

BACKGROUND: Exercise is considered an effective intervention to relieve chronic back pain. However, it is still unknown whether specific exercise patterns vary in terms of their efficiency and effectiveness. AIM: To investigate the differential health and economic effects of intensity, specificity and degree of subjective perceived physical exertion across five exercise patterns (endurance, gymnastics, fitness, back gymnastics, multimodal back exercise) in adults with back pain. DESIGN: Longitudinal observational cohort study over a period of 24 months. SETTING: Various non-therapeutic exercise facilities (e.g. outdoor, fitness centers, health insurance programs, sports clubs) across one federal state of Germany (Baden-Wuerttemberg). POPULATION: Adults with back pain (N.=2,542, Mean =46.9 years, 66% females, graded chronic back pain [GCPS] 1=40.5%, GCPS 2=27.3%, GCPS 3=20.7%, GCPS 4=11.5%). METHODS: Self-reported back pain (functional restrictions and pain = back pain function score, [BPFS]) and characteristics of exercising behavior (frequency, duration, type, physical exertion) were assessed at baseline and at 6, 12, 18 and 24 months. Direct medical costs for back disorders (international classification of diseases, dorsopathies: M40-M54) were compiled from health insurance records. RESULTS: Moderate- to high-intensity exercise patterns were effective in reducing back pain, particularly at lower levels of subjective perceived physical exertion. At these intensity levels, multimodal back exercise (i.e. exercising the spine-stabilizing muscles specifically, ergonomic training) was 14.5 times more effective than non-back specific fitness exercise in reducing BPFS. The beneficial effects of both exercise types increased with the initial severity of back pain. However, only multimodal back exercise (moderate- to high-intensity/high back specificity) was associated with a significant decrease in direct medical costs for back pain. CONCLUSIONS: Targeted exercise of the spine-stabilizing musculature at moderate to high intensities without maximum perceived exertion is effective and efficient in reducing back pain. CLINICAL REHABILITATION IMPACT: The combination of high-intensity and high-specificity exercises yielded a significant reduction in medical costs. However, the intensities in terms of muscular load in endurance training and gymnastics may not be sufficient to reduce back pain effectively.

Therapeutic and economic effects of multimodal back exercise: A controlled multicentre study.

To compare the cost-effectiveness of a multimodal back exercise programme for non-specific back pain with that of standard treatment. Medical costs were measured in euros (EUR) and effectiveness was measured using Graded Chronic Pain Status (GCPS). A controlled multicentre study (39 sites) with a 6-month intervention phase and follow-up at 6, 12 and 18 months. The study included 1,829 participants in an intervention group and 495 individuals in a control group. The multimodal back exercise programme comprises 36 exercise sessions for optimizing the spine stabilizing muscles and everyday motor func-tions. The patients were given a home training programme at the end of the intervention programme. The back exercise programme resulted in a significant reduction, of 0.4, in back pain grade on the GCPS after 2 years, compared with standard treat-ment, and reduced medical costs by 763 EUR. The exercise programme was therapeutically effective for GCPS back pain grades 1-4 and produced cost savings in the case of grade 4 GCPS. The multimodal back exercise programme was therapeutically effective for back pain (grades 1-2) and pain-related functional impairment (grades 3-4). It resulted in reduced costs for chronic back pain causing high pain-induced functional impairment (grade 4). The therapeutic and economic effects of the programme increase with the grade of back pain.

Directional Enlacement Histograms for the Description of Complex Spatial Configurations between Objects.

The analysis of spatial relations between objects in digital images plays a crucial role in various application domains related to pattern recognition and computer vision. Classical models for the evaluation of such relations are usually sufficient for the handling of simple objects, but can lead to ambiguous results in more complex situations. In this article, we investigate the modeling of spatial configurations where the objects can be imbricated in each other. We formalize this notion with the term enlacement, from which we also derive the term interlacement, denoting a mutual enlacement of two objects. Our main contribution is the proposition of new relative position descriptors designed to capture the enlacement and interlacement between two-dimensional objects. These descriptors take the form of circular histograms allowing to characterize spatial configurations with directional granularity, and they highlight useful invariance properties for typical image understanding applications. We also show how these descriptors can be used to evaluate different complex spatial relations, such as the surrounding of objects. Experimental results obtained in the different application domains of medical imaging, document image analysis and remote sensing, confirm the genericity of this approach.

Spontaneous axillary artery aneurysm: a case report and review of the literature.

Degenerative arterial aneurysms can occur in any vascular territory. However, they are exceedingly rare in the axillary artery. Complications of axillary artery aneurysms may result in acute vascular insufficiency and neurological deficits. Prompt treatment should be employed in the management of this condition. We report a case of an atraumatic degenerative axillary artery aneurysm that was treated with transaxillary open surgical bypass.

Evidence of recycling of lead battery waste into highly leaded jewelry.

Inexpensive highly leaded jewelry, much of it imported from China, remains widely available in the United States. The source materials for these items are unknown. Due to the low cost of much of this trinket jewelry, it seems likely that scrap materials may be used in their manufacture. Thirty-nine jewelry items previously determined to contain 90% or more lead by weight were analyzed for antimony content. The average antimony content of these thirty-nine items was 3.0%. The range of antimony content in the samples was from 0.3% to 6.2% antimony by weight, with twenty-seven of the samples in the range of 2-4% antimony by weight. By comparison, battery lead standard reference material obtained from the US National Institute of Standards and Technology contains 2.95% antimony by weight. While the evidence is circumstantial, the similarity in composition of these samples to battery lead is striking and supports the hypothesis that some battery lead is being recycled into highly leaded jewelry items. These results suggest that the recycling of this waste in China needs to be investigated, as the use of lead battery waste as a source material for children's jewelry poses a clear threat to children's health.

Leaded electronic waste is a possible source material for lead-contaminated jewelry.

Highly leaded jewelry, often imported from China, remains widely available in the United States. Leaded electronic waste is exported from the United States to several Asian countries where solder is recovered and circuit boards are stripped of parts in small workshops. To assess whether electronic waste is being recycled into the jewelry, lead, tin and copper content of highly leaded jewelry samples were determined by atomic absorption spectrometry. Sixteen jewelry items previously determined to contain 20-80% lead by weight were analyzed. Samples were digested in nitric acid for analysis of lead and copper, and in aqua regia for analysis of tin. Six samples contained significant amounts of tin, from 20.8% to 29.9% by weight. In addition, copper was a significant minor component of five of these samples (up to 4% by weight). Copper (present at 10-40% by weight in circuit boards) was shown to rapidly move into heated lead-tin solder. The combined lead-tin-copper content of these six items ranges from 93.5% to 100%, suggestive of a solder-based source material. These results are consistent with the hypothesis that recycled circuit board solders are being used to produce some of the heavily leaded imported jewelry sold in the United States. Should this hypothesis be substantiated, it suggests that environmental policies to protect children's health must address both proper recycling of source materials as well as restrictions of the lead content in consumer goods.

Widespread lead contamination of imported low-cost jewelry in the US.

Recent recalls of lead-contaminated jewelry and the death of a Minnesota child by lead poisoning after swallowing a jewelry charm have highlighted the hazards of leaded jewelry to children. We sought to determine the extent of lead contamination in inexpensive, imported jewelry available in United States retail stores. A total of 139 jewelry items were purchased from ten retail store chains in five different geographic locations. Samples were digested in nitric acid followed by atomic absorption analysis. Accessibility of lead was analyzed by leaching a subset of heavily leaded samples in 0.07 M hydrochloric acid. Almost half (42.6%) of the items assayed were heavily leaded, exceeding 80% lead by weight. Average lead content for all items tested was 44.0%, and one or more heavily leaded items were found in samples from each retail store and each geographic location. Six of ten samples tested for leachability of lead exceeded the US Consumer Product Safety Commission guidelines of 175 microg accessible lead. Our results show that much inexpensive children's and costume jewelry imported and sold in the US is heavily leaded. Given the high neurotoxicity of lead to young children, inexpensive jewelry items pose a potential yet avoidable threat to children's health.