Long-term motor activity, cardiopulmonary performance and quality of life in abdominal wall defect patients.

AIM: To assess whether patients born with an abdominal wall defect (AWD) have impaired cardiorespiratory performance capacity, motor skills, core stability or quality of life in a long-term follow up. METHODS: Patients diagnosed with AWD between 2002 and 2013 were invited to participate in the study, which included clinical examination, spirometry, cardiopulmonary exercise performance testing, assessment of motor activity, ultrasound, electromyography of the abdominal wall and assessment of the Gastrointestinal Quality of Life Index (GIQLI). The results were compared to a healthy control group matched for age, sex, BMI, and physical activity levels. RESULTS: In total, 18 AWD patients (mean age 12.6 ± 3.5 years) were included and there were no significant differences in anthopometric data compared to the control group (n = 18). AWD patients had a significantly lower GIQLI score (AWD mean 137.2 ± 6.8 vs. control mean 141.4 ± 4.9; p = 0.038) and were affected by decreased motor abilities with significantly higher Dordel-Koch-Test values (AWD median 3.54/IQR 1 vs. control median 2.8/IQR 1; p = 0.005). CONCLUSION: Follow-up examinations of AWD patients revealed decreased motor abilities and GIQLI scores while cardiopulmonary function was not different compared to healthy controls. The clinical impact of these findings remains to be elucidated. IMPACT: Clinical examination, assessment of the gastrointestinal quality of life, sport medical testing, electromyography and abdominal wall ultrasound were performed in patients with congenital abdominal wall defect and compared to an age and sex matched healthy control group. Results of spirometry and spiroergometry, ultrasound or electromyography did not significantly differ between the groups. Significantly decreased locomotor function and gastrointestinal quality of life were found in patients with abdominal wall defect. However, the clinical impact of these findings remains to be elucidated.

The unintended consequences of artificial intelligence in paediatric radiology.

Over the past decade, there has been a dramatic rise in the interest relating to the application of artificial intelligence (AI) in radiology. Originally only 'narrow' AI tasks were possible; however, with increasing availability of data, teamed with ease of access to powerful computer processing capabilities, we are becoming more able to generate complex and nuanced prediction models and elaborate solutions for healthcare. Nevertheless, these AI models are not without their failings, and sometimes the intended use for these solutions may not lead to predictable impacts for patients, society or those working within the healthcare profession. In this article, we provide an overview of the latest opinions regarding AI ethics, bias, limitations, challenges and considerations that we should all contemplate in this exciting and expanding field, with a special attention to how this applies to the unique aspects of a paediatric population. By embracing AI technology and fostering a multidisciplinary approach, it is hoped that we can harness the power AI brings whilst minimising harm and ensuring a beneficial impact on radiology practice.

Distribution and pattern of hand fractures in children and adolescents.

Hand fractures represent commonly encountered injuries in pediatric patients. However, due to modern means of mobility and product safety, the occurrence and distribution of these fractures have changed during the last decades. Therefore, it was the aim of this study to present an update of the epidemiology, pattern, and treatment of hand fractures in a large pediatric cohort. All patients aged between 0 and 17 years treated in our Department in 2019 with fractures of the phalanges, metacarpus, or carpus were included. The medical records were reviewed for age, gender, injury mechanism, fracture localization, season, and treatment. Patients were divided into three different age groups (0-5, 6-12, and 13-17 years). A total of 731 patients with 761 hand fractures were treated during the 1-year study period. The mean age was 11.1 ± 3.5 years, and the majority was male (65%). Male patients were significantly older compared to female patients (p = 0.008). Also, 78.7% of the fractures affected the phalanges, 17.6% the metacarpals, and 3.7% the carpal bones. The proximal phalanges were the most commonly fractured bones (41.5%). Patients with fractures of the carpus were significantly older compared to children sustaining fractures of the metacarpus or phalangeal bones (p < 0.001). Sixteen percent of our patients were treated surgically; these patients were significantly older compared to conservatively treated patients (p = 0.011).  Conclusion: The epidemiology, mechanisms of injury, distribution, and treatment of hand fractures significantly varies among different age groups. This knowledge is of importance for educational purposes of younger colleagues entrusted with care of children and adolescents as well as development of effective prevention strategies. What is Known: • Pediatric hand fractures represent the second most common fractures in children. • The epidemiology of pediatric hand fractures has changed during the last decades and therefore there is a need for an update regarding distribution and epidemiology of pediatric hand fractures. What is New: • In this retrospective cohort study, 761 pediatric hand fractures of 731 patients were analyzed in detail. • The main mechanisms of younger patients were entrapment injuries, older children most commonly sustained their fractures due to ball sport injuries. There was an increasing rate of metacarpal and carpal fractures with increasing age, and these fractures had to be treated operatively more often than phalangeal fractures.

Paediatric CT made easy.

Paediatric computed tomography (CT) imaging has always been associated with challenges. Although the technical background of CT imaging is complex, it is worth considering the baseline aspects of radiation exposure to prevent unwanted excess radiation in paediatric patients. In this review, we discuss the most relevant factors influencing radiation exposure, and provide a simplified and practical approach to optimise paediatric CT.

The augmented radiologist: artificial intelligence in the practice of radiology.

In medicine, particularly in radiology, there are great expectations in artificial intelligence (AI), which can "see" more than human radiologists in regard to, for example, tumor size, shape, morphology, texture and kinetics - thus enabling better care by earlier detection or more precise reports. Another point is that AI can handle large data sets in high-dimensional spaces. But it should not be forgotten that AI is only as good as the training samples available, which should ideally be numerous enough to cover all variants. On the other hand, the main feature of human intelligence is content knowledge and the ability to find near-optimal solutions. The purpose of this paper is to review the current complexity of radiology working places, to describe their advantages and shortcomings. Further, we give an AI overview of the different types and features as used so far. We also touch on the differences between AI and human intelligence in problem-solving. We present a new AI type, labeled "explainable AI," which should enable a balance/cooperation between AI and human intelligence - thus bringing both worlds in compliance with legal requirements. For support of (pediatric) radiologists, we propose the creation of an AI assistant that augments radiologists and keeps their brain free for generic tasks.

Reliability of radiological measurements and treatment recommendations of displaced paediatric humeral medial epicondyle fractures.

There are conflicting recommendations regarding the amount of displacement necessitating stabilization of paediatric humeral medial epicondyle fractures. Our aim was to assess the reliability of the measurements of the displacement and the treatment recommendations of these fractures. The maximum displacement of 57 children with displaced humeral medial epicondyle fractures was analyzed on radiographs by six raters (4 paediatric surgeons, 2 paediatric radiologists) at two time points. In addition, the four surgeons recorded their treatment recommendation. Intraobserver and interobserver reliability were calculated with intraclass correlation coefficients (ICC) and Kappa values. The ICC for the intraobserver reliability ranged between 0.67 and 0.93. The raters disagreed with their own measurements between 8.8% and 28.1%. The ICC for the interobserver reliability of all six raters was 0.90 for measurement 1 and 0.93 for measurement 2. All six raters disagreed (difference > 2mm) in 93% of the cases in measurement 1 and in 91.2% in measurement 2. Treatment recommendations of the four paediatric surgeons between the two time points differed in 5.3% to 28.1% of the cases. Furthermore, the treatment recommendations were concordant in 24 cases (42%) at time point 1 and 32 cases (56.1%) at time point 2. In displaced paediatric medial epicondyle fractures, disagreement regarding measurement of displacement and recommendation for treatment is high. Validated and standardized measurement tools and a clear threshold for operative fixation of displaced medial epicondyle fractures are needed.

The four-minute approach revisited: accelerating MRI-based multi-factorial age estimation.

OBJECTIVES: This feasibility study aimed to investigate the reliability of multi-factorial age estimation based on MR data of the hand, wisdom teeth and the clavicles with reduced acquisition time. METHODS: The raw MR data of 34 volunteers-acquired on a 3T system and using acquisition times (TA) of 3:46 min (hand), 5:29 min (clavicles) and 10:46 min (teeth)-were retrospectively undersampled applying the commercially available CAIPIRINHA technique. Automatic and radiological age estimation methods were applied to the original image data as well as undersampled data to investigate the reliability of age estimates with decreasing acquisition time. Reliability was investigated determining standard deviation (SSD) and mean (MSD) of signed differences, intra-class correlation (ICC) and by performing Bland-Altman analysis. RESULTS: Automatic age estimation generally showed very high reliability (SSD < 0.90 years) even for very short acquisition times (SSD ≈ 0.20 years for a total TA of 4 min). Radiological age estimation provided highly reliable results for images of the hand (ICC ≥ 0.96) and the teeth (ICC ≥ 0.79) for short acquisition times (TA = 16 s for the hand, TA = 2:21 min for the teeth), imaging data of the clavicles allowed for moderate acceleration (TA = 1:25 min, ICC ≥ 0.71). CONCLUSIONS: The results demonstrate that reliable multi-factorial age estimation based on MRI of the hand, wisdom teeth and the clavicles can be performed using images acquired with a total acquisition time of 4 min.

Experiences with image quality and radiation dose of cone beam computed tomography (CBCT) and multidetector computed tomography (MDCT) in pediatric extremity trauma.

INTRODUCTION: Novel dedicated extremity cone beam computed tomography (CBCT) devices, recently introduced to the market, raised attention as a possible alternative in advanced diagnostic pediatric trauma imaging, today usually performed by multidetector computed tomography (MDCT). This work aimed to compare image quality and radiation dose of CBCT and MDCT. MATERIALS AND METHODS: Fifty-four CBCT-MDCT examination pairs, containing nine MDCTs acquired in parallel prospectively and 45 MDCTs matched in retrospect, were included in this study. Image quality was analyzed semi-objectively by measuring noise, contrast-to-noise ratio (CNR), and signal-to-noise ratios (SNR) and subjectively by performing image impression ratings. CT dose records were readout. RESULTS: Image noise was significantly lower in CBCT compared with MDCT, both semi-objectively and subjectively (both p < 0.001). CNR and SNRs were also in favor of CBCT, though CBCT examinations exhibited significantly more beam hardening artifacts that diminished the advantages of the superior semi-objective image quality. These artifacts were believed to occur more often in children due to numerous bone-cartilage transitions in open growth plates and may have led to a better subjective diagnostic certainty rating (p = 0.001). Motion artifacts were infrequently, but exclusively observed in CBCT. CT dose index (CTDIvol) was substantially lower in CBCT (p < 0.001). CONCLUSION: Dedicated extremity CBCT could be an alternative low-dose modality in the diagnostic pathway of pediatric fractures. At lower doses compared with MDCT and commonly affected by beam hardening artifacts, semi-objective CBCT image quality parameters were generally better than in MDCT.

Local-Entropy Based Approach for X-Ray Image Segmentation and Fracture Detection.

The paper proposes a segmentation and classification technique for fracture detection in X-ray images. This novel rotation-invariant method introduces the concept of local entropy for de-noising and removing tissue from the analysed X-ray images, followed by an improved procedure for image segmentation and the detection of regions of interest. The proposed local Shannon entropy was calculated for each image pixel using a sliding 2D window. An initial image segmentation was performed on the entropy representation of the original image. Next, a graph theory-based technique was implemented for the purpose of removing false bone contours and improving the edge detection of long bones. Finally, the paper introduces a classification and localisation procedure for fracture detection by tracking the difference between the extracted contour and the estimation of an ideal healthy one. The proposed hybrid method excels at detecting small fractures (which are hard to detect visually by a radiologist) in the ulna and radius bones-common injuries in children. Therefore, it is imperative that a radiologist inspecting the X-ray image receives a warning from the computerised X-ray analysis system, in order to prevent false-negative diagnoses. The proposed method was applied to a data-set containing 860 X-ray images of child radius and ulna bones (642 fracture-free images and 218 images containing fractures). The obtained results showed the efficiency and robustness of the proposed approach, in terms of segmentation quality and classification accuracy and precision (up to 91.16 % and 86.22 % , respectively).

European Guidelines for AP/PA chest X-rays: routinely satisfiable in a paediatric radiology division?

OBJECTIVES: Accurate collimation helps to reduce unnecessary irradiation and improves radiographic image quality, which is especially important in the radiosensitive paediatric population. For AP/PA chest radiographs in children, a minimal field size (MinFS) from "just above the lung apices" to "T12/L1" with age-dependent tolerance is suggested by the 1996 European Commission (EC) guidelines, which were examined qualitatively and quantitatively at a paediatric radiology division. METHODS: Five hundred ninety-eight unprocessed chest X-rays (45% boys, 55% girls; mean age 3.9 years, range 0-18 years) were analysed with a self-developed tool. Qualitative standards were assessed based on the EC guidelines, as well as the overexposed field size and needlessly irradiated tissue compared to the MinFS. RESULTS: While qualitative guideline recommendations were satisfied, mean overexposure of +45.1 ± 18.9% (range +10.2% to +107.9%) and tissue overexposure of +33.3 ± 13.3% were found. Only 4% (26/598) of the examined X-rays completely fulfilled the EC guidelines. CONCLUSIONS: This study presents a new chest radiography quality control tool which allows assessment of field sizes, distances, overexposures and quality parameters based on the EC guidelines. Utilising this tool, we detected inadequate field sizes, inspiration depths, and patient positioning. Furthermore, some debatable EC guideline aspects were revealed. KEY POINTS: • European Guidelines on X-ray quality recommend exposed field sizes for common examinations. • The major failing in paediatric radiographic imaging techniques is inappropriate field size. • Optimal handling of radiographic units can reduce radiation exposure to paediatric patients. • Constant quality control helps ensure optimal chest radiographic image acquisition in children.

The origin points of the knee collateral ligaments: an MRI study on paediatric patients during growth.

PURPOSE: Different femoral origins for both the medial collateral ligament (MCL) and the lateral collateral ligament (LCL) have been reported in the growing skeleton (epiphyseal and metaphyseal). Knowledge about the exact attachment sites is mandatory for anatomically correct reconstruction. This study assesses the femoral origins of the knee collateral ligaments in skeletally immature individuals using magnetic resonance imaging (MRI). METHODS: MRIs of 336 knee joints (median age 15 years (range 2-18 years), m = 209 and f = 127) were retrospectively analysed to assess the distances between the femoral origins of the MCL and LCL to the distal femoral growth plate. In 175 patients, the body sizes were additionally retrieved from medical records. RESULTS: Both MCL and LCL ligament origins were invariably located on the epiphysis. Mean MCL origin-growth plate distance was 9.6 mm (SD 2.1 mm; range 2.2-13.6 mm) in boys and 8.6 mm (SD 1.5 mm; range 3.4-12.0 mm) in girls. Mean LCL origin-growth plate distance was 9.3 mm (SD 1.8 mm; range 4.3-13.0 mm) in boys and 8.2 mm (SD 1.5 mm; range 3.4-11.8 mm) in girls. The distance between the growth plate and both collateral ligaments as well as the length of the LCL correlated positively with patients' age and body size (MCL R(2) = 0.673 and 0.556, LCL R (2) = 0.734 and 0.645, LCL length R(2) = 0.589 and 0.741; all p < 0.001). CONCLUSIONS: During growth, the femoral origins of the MCL and the LCL are constantly located on the distal femoral epiphysis. There is a linear increase in the distances from the ligaments' origins to the growth plate according to age and body size. This new information may be of clinical importance for reconstructive surgery of the knee's collateral ligaments.

Cardiac MRI assessment of right ventricular function: impact of right bundle branch block on the evaluation of cardiac performance parameters.

OBJECTIVES: Right ventricular (RV) function represents a prognostic marker in patients with corrected congenital heart disease. In up to 80 % of these patients, right branch bundle block (RBBB) exists and leads to asynchronous ventricular contraction. The aim of this retrospective study was to evaluate the change of RV performance parameters considering delayed RV end-systolic contraction. METHODS: RV volumes of 33 patients were assessed twice: 1) not taking account of RBBB (group I), and 2) considering RBBB (group II). According to the RV ejection fraction (EF) for both groups, RV function was classified in different categories (>50 % = normal, 40-50 % = mildly-, 30-40 % = moderately-, <30 % = severely-reduced). RESULTS: The mean time difference between maximal systolic contraction of the septum and RV free wall was 90.7 ms ± 42.6. Consequently, RV end-systolic volume was significantly decreased in group II (p < 0.001). Accordingly, RV stroke volume and RV EF were significantly higher in group II (p < 0.001). There was also a significant change in the assessment of RV function (p < 0.02). CONCLUSIONS: RBBB induced delayed RV contraction can be detected at CMR. Ignoring the RV physiology in RBBB patients leads to a statistically significant underscoring of RV performance parameters. KEY POINTS: • Right branch bundle block leads to an asynchronous ventricular contraction • In CMR, a delayed right ventricular contraction due to RBBB can be detected • Ignoring RV physiology in RBBB patients leads to underscoring of RV performance.

The pediatric knee: diagnosis and management of ligament injuries.

In the last few decades, sports injuries in pediatric and adolescent athletes have increased dramatically, with ∼ 38 million young athletes participating in organized sports annually in the United States. Starting at the age of 2 years, an increase of the incidence of knee injuries until adulthood with a peak at 6 and at 13 years of age has been observed. Due to a physiologic laxity of the ligaments, ligament injuries are uncommon in these patients, but they are getting more frequent. In the growing knee, open physis are the points of minor resistance. Therefore apophyseal injuries of the pediatric knee are more common. Diagnostics and treatment of ligament injuries of the pediatric and adolescent knees are challenging. This article presents an overview of ligament injuries in the pediatric and adolescent knee, their diagnostic work-up, and their treatment in the growing patient.

Injuries in physically disabled children.

Disability is a condition or function that is judged to be significantly impairing relative to the usual standard of an individual or group. The spectrum of musculoskeletal disabilities in children is immense and varied. Musculoskeletal disabilities are congenital or acquired; they affect a child partially or generally and can occur as a permanent or transient disability.Although injuries still represent a major concern for children and adolescents worldwide, studies focusing on injuries in physically disabled children are lacking. To detect musculoskeletal injuries, radiographs are frequently required. In disabled children the radiographic findings can detect the skeletal injury but also can present special radiographic findings of the underlying disease.This review offers an overview of different musculoskeletal disabilities and their related injuries as well as characteristic findings on radiographs.

Building RadiologyNET: an unsupervised approach to annotating a large-scale multimodal medical database.

BACKGROUND: The use of machine learning in medical diagnosis and treatment has grown significantly in recent years with the development of computer-aided diagnosis systems, often based on annotated medical radiology images. However, the lack of large annotated image datasets remains a major obstacle, as the annotation process is time-consuming and costly. This study aims to overcome this challenge by proposing an automated method for annotating a large database of medical radiology images based on their semantic similarity. RESULTS: An automated, unsupervised approach is used to create a large annotated dataset of medical radiology images originating from the Clinical Hospital Centre Rijeka, Croatia. The pipeline is built by data-mining three different types of medical data: images, DICOM metadata and narrative diagnoses. The optimal feature extractors are then integrated into a multimodal representation, which is then clustered to create an automated pipeline for labelling a precursor dataset of 1,337,926 medical images into 50 clusters of visually similar images. The quality of the clusters is assessed by examining their homogeneity and mutual information, taking into account the anatomical region and modality representation. CONCLUSIONS: The results indicate that fusing the embeddings of all three data sources together provides the best results for the task of unsupervised clustering of large-scale medical data and leads to the most concise clusters. Hence, this work marks the initial step towards building a much larger and more fine-grained annotated dataset of medical radiology images.

Sonographic Rectal Enema ("hydrocolon") for Diagnosing Large Bowel Pathologies in Infancy - Pictorial Review to Demonstrate Feasibility and Value.

Bowel pathologies encompass a large diversity of diseases with commonly confusing and overlapping clinical presentations. Sonography has a leading role in diagnosing these disorders, especially in small children. However, in some cases, baseline sonography does not deliver a satisfactory result on the suspected pathology. To increase the sensitivity and specificity of the standard bowel ultrasound technique, complimentary ultrasound enema may be performed, which is also referred to as "hydrocolon" in the literature. This paper summarizes the technique of sonographic enema, as well as some bowel pathologies from our case series where sonographic enema proved to be helpful in the diagnostic work-up.

Information extraction from German radiological reports for general clinical text and language understanding.

Recent advances in deep learning and natural language processing (NLP) have opened many new opportunities for automatic text understanding and text processing in the medical field. This is of great benefit as many clinical downstream tasks rely on information from unstructured clinical documents. However, for low-resource languages like German, the use of modern text processing applications that require a large amount of training data proves to be difficult, as only few data sets are available mainly due to legal restrictions. In this study, we present an information extraction framework that was initially pre-trained on real-world computed tomographic (CT) reports of head examinations, followed by domain adaptive fine-tuning on reports from different imaging examinations. We show that in the pre-training phase, the semantic and contextual meaning of one clinical reporting domain can be captured and effectively transferred to foreign clinical imaging examinations. Moreover, we introduce an active learning approach with an intrinsic strategic sampling method to generate highly informative training data with low human annotation cost. We see that the model performance can be significantly improved by an appropriate selection of the data to be annotated, without the need to train the model on a specific downstream task. With a general annotation scheme that can be used not only in the radiology field but also in a broader clinical setting, we contribute to a more consistent labeling and annotation process that also facilitates the verification and evaluation of language models in the German clinical setting.

The epifascial cap: A typical imaging sign for subcutaneous granuloma annulare in children.

Objectives: Subcutaneous granuloma annulare (SGA) is a rare, self-limiting granulomatous disease in children, commonly diagnosed by histopathology following biopsy or surgical excision. This study aimed to identify imaging clues for SGA that could expedite accurate diagnosis and avoid the need for biopsy in children. Methods: We retrospectively analyzed complete hospital records of all children diagnosed with SGA at our institution from January 2001 to December 2020. Detailed disease history, imaging findings, management, and outcome were evaluated. Results: We identified 28 patients (20 girls) at a median age of 3.75 (range 1-12.5 years). Ten patients presented with multiple lesions. Most lesions were located on the lower extremities (n = 26/41). Ultrasound examinations were performed on all patients, and 12 (43%) patients also received an MRI. Surgical intervention was conducted in 18 (64%) patients either by incisional biopsy (n = 6) or total excision of the lump (n = 12). In all patients who did not undergo surgery, SGA resolved spontaneously. A careful review of the MRIs led to the discovery of a characteristic imaging shape of SGA lesions: the epifascial cap with a typical broad circular base laying on the fascia, extending towards the subdermal/dermal tissue. This distinctive shape was evident in every patient in our cohort. Conclusions: The "Epifascial Cap Sign" is a specific imaging sign for SGA, which to the best of our knowledge, helps distinguish this disease from other subcutaneous lesions. Recognition of this novel diagnostic sign combined with the historical and physical findings should enable clinicians to establish SGA diagnosis easily and diminish the need for further invasive diagnostic procedures.