Reducing Chronic Spine Pain in an Adult Male by Decreasing Lumbar Scoliosis and Increasing Cervical Lordosis Using Chiropractic BioPhysics® Protocols: A 26-Month Follow-Up Case Report.

We present a case report of a patient suffering from chronic low back pain (CLBP) and chronic non-specific neck pain (CNSNP), both of which were caused and complicated by a physically demanding occupation, a history of mixed martial arts, and lumbar scoliosis. Improvements in patient-reported outcomes (PROs) and radiographic findings were observed following conservative spine rehabilitation. The patient, a 34-year-old male, had experienced chronic spine pain, particularly CLBP and CNSNP, for several years. He reported severe pain and increasing disability after a recent neck injury sustained while practicing jiu-jitsu. Radicular pain, along with numbness and tingling, was noted in the right upper extremity, extending to the first three digits, and there were also altered sensations and temperature changes in both feet. He described sharp, pinching mid-back pain and worsening disability due to the persistent pain, which led him to seek manual manipulative chiropractic spine therapy, though he reported little benefit from it. The patient had relied on over-the-counter pain medications for many years without achieving long-term pain and disability relief, and these medications were no longer used following treatment. Chiropractic BioPhysics® (CBP®) spinal structural rehabilitation protocols were used to improve coronal and sagittal balance, as well as paraspinal muscular strength, addressing posture, mobility, and related aspects. These protocols include postural exercises, postural Mirror Image® traction, and postural spinal manipulative therapy. All PROs improved, with a near resolution of all initial symptoms of chronic spine pain. Outcomes measured included disability indices and health-related quality of life (HRQoL) indicators. Radiographic parameter improvements were significant, demonstrating improved coronal and sagittal balance as a result of the treatment. Following 30 in-office treatments, administered three times per week for 10 weeks, initial outcomes were reassessed. The patient then received 13 in-office treatments periodically over one year, and all initial outcomes were repeated. The improvements remained stable over time. A 26-month follow-up found that the improvements were sustained over a very long period without additional treatment after the 13-month examination. Chronic spine pain, specifically CLBP and CNSNP, is a significant source of suffering and contributes substantially to the global burden of disease. Improvement in HRQoLs, PROs, and objective spine parameters are desirable clinical outcomes. Our case report documents objective improvement in lumbar scoliosis and spine pain, which is rare in conservative studies. This successful treatment of chronic pain with long-term follow-up contributes to the growing evidence supporting conservative, non-surgical treatments for CNSNP and CLBP. Successful management of chronic spine pain was observed in a patient undergoing CBP® treatment. The treatment was designed to address abnormal sagittal and coronal postural balance and radiographic abnormalities indicating spinal misalignment and reassess progress in PROs, as well as objective and subjective HRQoL measures, both following treatment and 13 months later. However, larger studies are needed to draw firm conclusions regarding the efficacy of this treatment for chronic pain.

An attempt to generate panoramic radiographs including jaw cysts using StyleGAN3.

OBJECTIVES: The purpose of this study was to generate radiographs including dentigerous cysts by applying the latest generative adversarial network (GAN; StyleGAN3) to panoramic radiography. METHODS: A total of 459 cystic lesions were selected, and 409 images were randomly assigned as training data and 50 images as test data. StyleGAN3 training was performed for 500 000 images. Fifty generated images were objectively evaluated by comparing them with 50 real images according to four metrics: Fréchet inception distance (FID), kernel inception distance (KID), precision and recall, and inception score (IS). A subjective evaluation of the generated images was performed by three specialists who compared them with the real images in a visual Turing test. RESULTS: The results of the metrics were as follows: FID, 199.28; KID, 0.14; precision, 0.0047; recall, 0.00; and IS, 2.48. The overall results of the visual Turing test were 82.3%. No significant difference was found in the human scoring of root resorption. CONCLUSIONS: The images generated by StyleGAN3 were of such high quality that specialists could not distinguish them from the real images.

Diagnostic accuracy of periapical radiography and panoramic radiography in the detection of apical periodontitis: a systematic review and meta-analysis.

OBJECTIVE: Apical periodontitis (AP) is one of the most common pathologies of the oral cavity. An early and accurate diagnosis of AP lesions is crucial for proper management and planning of endodontic treatments. This study investigated the diagnostic accuracy of periapical radiography (PR) and panoramic radiography (PAN) in the detection of clinically/surgically/histopathologically confirmed AP lesions. METHOD: A systematic literature review was conducted in accordance with the PRISMA guidelines. The search strategy was limited to English language articles via PubMed, Embase and Web of Science databases up to June 30, 2023. Such articles provided diagnostic accuracy values of PR and/or PAN in the detection of AP lesions or alternatively data needed to calculate them. RESULTS: Twelve studies met inclusion criteria and were considered for the analysis. The average value of diagnostic accuracy in assessing AP lesions was 71% for PR and 66% for PAN. According to different accuracy for specific anatomical areas, it is recommended to use PR in the analysis of AP lesions located in the upper arch and lower incisor area, whereas lower premolar and molar areas may be investigated with the same accuracy with PR or PAN. CONCLUSIONS: Two-dimensional imaging must be considered the first-level examination for the diagnosis of AP lesions. PR had an overall slightly higher diagnostic accuracy than PAN. Evidence from this review provided a useful tool to support radiologists and dentists in their decision-making when inflammatory periapical bone lesions are suspected to achieve the best clinical outcome for patients, improving the quality of clinical practice.

Accuracy of measurements on CBCT-generated digital models using different exposure parameters (in vitro study).

INTRODUCTION: Dental imaging comprises a wide range of techniques and modalities, each with different diagnostic features influenced by numerous parameters, all of which contribute to the precision and effectiveness of dental evaluations and treatments. This study examined the dimensional reproducibility of arch measurements from CBCT scans with different voxel sizes and exposure parameters compared to a reference model from Extra-oral scanners (EOS) and how these parameters affected digital matching and diagnostic image quality. METHODS: A diagnostic observational study of arch dimensions, including inter-canine, inter-premolar, intermolar, arch width and arch length, was conducted on digital models (DMs) created from 65 CBCT scans of a full dentate epoxy maxillary model. The measurements obtained from EOS scans served as the control for the study. Normality was tested with the Shapiro-Wilk test, comparisons used the Kruskal-Wallis test with Bonferroni-adjusted pairwise comparisons for significant results, and data were analysed using IBM SPSS (Version 26.0), with significance set at p < .05. RESULTS: Significant deviations were revealed among study groups, with group I (smallest voxel size) consistently displaying the lowest values, mean (SD) deviation was reported as 0.01 (0.006) and group IV (lowest kV value) exhibiting the highest deviations, mean (SD) deviation of 0.16 (0.17). CONCLUSION: Combining a small voxel size (0.12 mm) with high milliampere (8 mA) and kilovoltage (90 kV) settings in CBCT ensured detailed anatomical visualization and accurate linear measurements, crucial for precise dental assessments, and emphasizing the necessity for strict control over CBCT parameters in dental applications.

Establishing legal threshold of 18-years based on the assessment of mandibular molars using three different methods - An observational study.

BACKGROUND: The study evaluates the feasibility of employing the radiographic visibility of the root pulp and periodontal ligament in mandibular molars for age estimation, particularly focusing on the 18 years of age threshold. This study additionally investigates the potential of root canal width reduction in mandibular molars, as a reliable method for forensic age estimation in living individuals. MATERIALS AND METHODS: A cross-sectional study was conducted to assess the radiographic visibility of the root pulp (RPV) and the root canal width (RCW) of mandibular first, second, and third molars along with the radiographic visibility of the periodontal ligament (PLV) of mandibular third molars, in a sample of 403 individuals aged 16-25 years (220 males and 183 females). Data regarding age for different stages of RPV and PLV and various types of RCW were recorded and observed for sex-based differences. Results obtained were tabulated and descriptive statistics were applied to summarise the findings. RESULTS: Individuals over 18 years old were classified with higher accuracy using stage 3 of the RPV scoring system in all mandibular molars (first, second, and third) compared to stage 2, which was also effective for the second and third molars. This result held regardless of sex and side examined. Additionally, root canal width (RCW) assessment demonstrated that individuals with RCW types A, B, and C were more likely to be under 18 years old in both sexes. Conversely, individuals with RCW type U on the right side for males and the left side for females exhibited a higher likelihood of being above 18 years old. CONCLUSION: The study suggests that the assessment of mandibular molars could potentially serve as an auxiliary tool in age estimation methods, particularly for approximating individuals around the 18 years of age threshold. Further investigation is warranted to explore the potential application of root canal width measurements in forensic age estimation.

[Usefulness of Copper Filter Addition and Potential for Dose Reduction in Hip-joint Radiography].

PURPOSE: In this study, we evaluated image quality and radiation dose reduction when a Copper (Cu) filter was added to hip joint X-ray imaging. METHODS: We measured effective energy without (0 mm) and with (0.1/0.2 mm) Cu-added filter at 70 kV, and we calculated soft tissue-bone contrast and signal-difference-to-noise-ratio (SDNR) under constant entrance surface dose. After that, we estimated the dose reduction rate. RESULTS: The effective energy was 32.07 keV for 0 mm Cu, 37.59 keV for 0.1 mm Cu, and 40.91 keV for 0.2 mm Cu. As the thickness of the Cu-added filter was increased, contrast decreased, but SDNR increased. The dose reduction rate in bone calculated measuring SDNR was 34% for 0.1 mm Cu and 47% for 0.2 mm Cu in max. CONCLUSION: It was suggested that adding Cu filter to hip-joint X-ray imaging could reduce entrance surface dose while maintaining the image quality based on SDNR.

Three-dimensional assessment of subchondral arc and hip joint coverage angles in the asymptomatic young adult hip.

The primary objective of this study was to develop a custom algorithm to assess three-dimensional (3D) acetabular coverage of the femoral head based on surface models generated from computed tomography (CT) imaging. The secondary objective was to apply this algorithm to asymptomatic young adult hip joints to assess the regional 3D acetabular coverage variability and understand how these novel 3D metrics relate to traditional two-dimensional (2D) radiographic measurements of coverage. The algorithm developed automatically identifies the lateral- and medial-most edges of the acetabular lunate at one-degree intervals around the acetabular rim based on local radius of curvature. The acetabular edges and the center of a best-fit sphere to the femoral head are then used to compute the mean 3D subchondral arc angles and hip joint coverage angles in five acetabular octants. This algorithm was applied to hip models generated from pelvis/hip CT imaging or abdomen/pelvis CT angiograms of 50 patients between 17 and 25 years of age who had no history of congenital or developmental hip pathology, neuromuscular conditions, or bilateral pelvic and/or femoral fractures. Corresponding 2D acetabular coverage measures of lateral center edge angle (LCEA) and acetabular arc angle (AAA) were assessed on the patients' clinical or digitally reconstructed radiographs. The 3D subchondral arc angle in the superior region (58.0 [54.6-64.8] degrees) was significantly higher (p < 0.001) than all other acetabular subregions. The 3D hip joint coverage angle in the superior region (26.2 [20.7-28.5] degrees) was also significantly higher (p < 0.001) than all other acetabular subregions. 3D superior hip joint coverage angle demonstrated the strongest correlation with 2D LCEA (r = 0.649, p < 0.001), while 3D superior-anterior subchondral arc angle demonstrated the strongest correlation with 2D AAA (r = 0.718, p < 0.001). The 3D coverage metrics in the remaining acetabular regions did not strongly correlate with typical 2D radiographic measures. The discrepancy between standard 2D measures of radiographic acetabular coverage and actual 3D coverage identified on advanced imaging indicates potential discord between anatomic coverage and the standard clinical measures of coverage on 2D imaging. As 2D measurement of acetabular coverage is increasingly used to guide surgical decision-making to address acetabular deformities, this work would suggest that 3D measures of acetabular coverage may be important to help discriminate local coverage deficiencies, avoid inconsistencies resulting from differences in radiographic measurement techniques, and provide a better understanding of acetabular coverage in the hip joint, potentially altering surgical planning and guiding surgical technique.

When Maxillofacial CBCT Permits Fortuitously to Diagnose Primary Non-Hodgkin's Lymphoma: A Case Report.

A 47-year-old male with an unremarkable medical history was referred for atypical endodontic pain and treatment of his left upper molars. Clinical and radiographic examinations revealed an extensive, undefined osteolytic area around these teeth. A subsequent bone biopsy diagnosed diffuse large B-cell lymphoma, a high-grade non-Hodgkin's lymphoma. The hematology team prescribed six cycles of chemotherapy, supplemented by two cycles of methotrexate. Practitioners should be alerted by atypical tooth pain to consider 3D imaging to exclude malignant pathology as early as possible. Teaching point: An atypical tooth pain should alert the practitioner and guide them towards 3D imaging to eliminate diagnostic of malignant pathology as early as possible.

Peracetic Acid Efficacy on Disinfection of Photostimulable Phosphor Plates.

OBJECTIVES: To evaluate the antimicrobial efficacy of white vinegar, acetic acid and peracetic acid on photostimulable phosphor (PSP) plates disinfection, and to assess the disinfectant influence on the radiographic quality. METHODS: Eight PSP plates (Express system) were contaminated with Streptococcus mutans and Candida albicans. These plates were wiped with tissues without any substance, with white vinegar, acetic acid, and peracetic acid, followed by an agar imprint. Number of microbial colonies formed was recorded. Afterwards, the quality of radiographs was tested using the more efficient disinfectant. Before disinfection and after every five disinfections, two radiographs of an acrylic-block and two radiographs of an aluminum step-wedge were acquired for each plate. Density, noise, uniformity, and contrast were analyzed. Three oral radiologists evaluated the images for the presence of artifacts. One-way Analysis of Variance compared changes on gray values among the disinfections (α = 0.05). Intra- and inter-examiner agreement for the presence of artifacts was calculated by weighted Kappa. RESULTS: Peracetic acid was the only one that eliminated both microorganisms. Density and uniformity decreased after 100 disinfections, and contrast changed without a pattern in the course of disinfections (P ≤ 0.05). Small artifacts were observed after 30 disinfections. Intra- and inter-examiner agreements were almost perfect. CONCLUSIONS: Disinfection with peracetic acid eliminated both microorganisms. However, it also affected density, uniformity and contrast of radiographs, and led to the formation of small artifacts.

Comparative evaluation of knee osteoarthritis: radiography vs. ultrasonography in Nepalese population: a cross-sectional study.

Background and objectives: Osteoarthritis (OA) is a degenerative and long-term debilitating disease with rising prevalence, predominantly involving larger joints including the knee joint. While radiography has traditionally been the primary modality for joint evaluation, there is a growing trend towards using ultrasonography (USG) for musculoskeletal disorders, including joint assessment. This study aimed to find the role of USG in the evaluation of OA of knee joints with comparison to the radiographs. Methods: This was a cross-sectional study done on patients with signs and symptoms of OA of the knee who visited the radiology department for knee radiographs. Kellgren and Lawrence system was used for grading OA in radiographs. USG of knee joints was done with high-frequency probes and searched for joint space width, articular cartilage thickness, marginal osteophytes, meniscal extrusion, and other articular/ extra-articular abnormalities. The USG findings were correlated with findings in anteroposterior and lateral radiographs. Results: The mean number of osteophytes was higher in USG compared to the radiographs (P<0.001). Mean joint spaces were comparable in both modalities. Meniscal extrusion was seen with USG, which significantly correlated with joint space width and cartilage thickness (P<0.005). USG also detected synovial changes, effusion, and Baker's cyst. Conclusion: Although radiography is the standard first-line radiological investigation for the diagnosis of OA of the knee joint, USG can be an adjunct as it well correlates with the radiograph findings and can provide more useful information.

Systematic review and meta-analysis of the accuracy of lung ultrasound and chest radiography in diagnosing community acquired pneumonia in children.

Chest radiography (CXR) is commonly used for diagnosing childhood pneumonia, but concerns about radiation exposure have raised interest in using radiation-free lung ultrasound (LUS) as an alternative imaging modality. Therefore, we designed this meta-analysis to compare the accuracy of LUS and CXR for diagnosing childhood pneumonia. We searched 8 databases and 1 clinical trial registry for studies published from inception to March 2023. Studies assessing lung ultrasound and chest radiography for diagnosing childhood pneumonia were included. Two reviewers independently screened literature, extracted data, and assessed the risk of bias using the QUADAS-2 tool for each study. Meta-analysis was conducted using a random-effects model, and pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio, and summary receiver operating characteristic (SROC) curve were assessed. Statistical analyses were performed using Meta-Disc 1.4, RevMan 5.4, and Stata 17.0 software. Heterogeneity was examined, and subgroup analysis was conducted to explore the accuracy of lung ultrasound in diagnosing childhood pneumonia. Out of the 4089 screened articles, 30 studies were included, encompassing a total of 4546 children. Of those, 3257 were diagnosed with pneumonia, 3190 through LUS, and 2925 via CXR. The meta-analysis showed that the sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio of LUS were 0.940 (95% CI 0.930-0.949), 0.855 (95% CI 0.835-0.873), 7.561 (95% CI 4.956-11.536), 0.08 (95% CI 0.056-0.113), and 110.77 (95% CI 62.156-197.40), respectively. The combined area under the SROC curve was 0.9712, Q index = 0.9218. For CXR, the sensitivity, specificity, positive and negative likelihood ratios, and diagnostic odds ratio were 0.893 (95% CI 0.881-0.905), 0.906 (95% CI 0.889-0.921), 18.742 (95% CI 7.551-46.520), 0.105 (95% CI 0.062-0.180), and 237.43 (95% CI 74.080-760.99), respectively. The combined area under the SROC curve was 0.9810, Q index = 0.9391. Subgroup analysis showed that the implementation location, interval between lung ultrasound and chest radiography, and operator experience had no impact on the accuracy of lung ultrasound in diagnosing childhood pneumonia. Existing evidence suggests that lung ultrasound has high accuracy for diagnosing childhood community-acquired pneumonia. Compared with chest radiography, lung ultrasound has higher sensitivity, similar specificity, and advantages such as radiation-free, lower cost, simplicity of operation, and ease of follow-up, making it an important imaging modality for diagnosing childhood pneumonia.

PIAA: Pre-imaging all-round assistant for digital radiography.

BACKGROUND: In radiography procedures, radiographers' suboptimal positioning and exposure parameter settings may necessitate image retakes, subjecting patients to unnecessary ionizing radiation exposure. Reducing retakes is crucial to minimize patient X-ray exposure and conserve medical resources. OBJECTIVE: We propose a Digital Radiography (DR) Pre-imaging All-round Assistant (PIAA) that leverages Artificial Intelligence (AI) technology to enhance traditional DR. METHODS: PIAA consists of an RGB-Depth (RGB-D) multi-camera array, an embedded computing platform, and multiple software components. It features an Adaptive RGB-D Image Acquisition (ARDIA) module that automatically selects the appropriate RGB camera based on the distance between the cameras and patients. It includes a 2.5D Selective Skeletal Keypoints Estimation (2.5D-SSKE) module that fuses depth information with 2D keypoints to estimate the pose of target body parts. Thirdly, it also uses a Domain expertise (DE) embedded Full-body Exposure Parameter Estimation (DFEPE) module that combines 2.5D-SSKE and DE to accurately estimate parameters for full-body DR views. RESULTS: Optimizes DR workflow, significantly enhancing operational efficiency. The average time required for positioning patients and preparing exposure parameters was reduced from 73 seconds to 8 seconds. CONCLUSIONS: PIAA shows significant promise for extension to full-body examinations.

Radiography managers' perceptions on skills required in public health institutes in Gauteng.

Background: Management of radiography departments requires skilled and competent managers. This task becomes complex if there is no management development and collaborative performance monitoring. Aim: The study aimed to explore and describe the radiography managers' perceptions regarding management training and skills required. Setting: The research was conducted in public health institutions of Gauteng, South Africa. Methods: Qualitative, exploratory and descriptive approach was adopted, and a purposive sampling method was used to select twenty-three (23) managers from the radiography departments; however, data saturation guided the sample size. Data were collected through online focus group discussions (FGDs). Ethical approval was obtained through Departmental Research Committee (DRC) of Medical Imaging and Radiation Sciences (MIRS) department, Higher Degrees Committee (HDC), Research Ethics Committee and Gauteng Department of Health Research Committees. Data trustworthiness was obtained through member checking, data verification and an independent coder to verify the accuracy of the data. Thematic data analysis method was used to analyse the data. Results: Five themes emerged from the thematic analysis and centred on: difficulties in transitioning into management, lack of management support, the need for postgraduate management qualification, coaching and mentoring and required skills for radiography managers. Conclusion: Public health institutions continuously face transitions in service delivery frameworks. This requires competent and skilled radiography managers to survive in this environment. The study revealed that new managers experience difficulties and require management support to succeed in their roles. Contribution: Awareness of managers developmental needs relative to the real-life dynamics of radiography management in Gauteng public health environment.

Global Research Trends in the Detection and Diagnosis of Dental Caries: A Bibliometric Analysis.

This study aims to provide an overview of the global research trends in the detection and diagnosis of dental caries in the past 20 years. A literature search was conducted in the Scopus Database to retrieve studies on the diagnostic approaches for dental caries published from January 2003 to December 2023. The diagnostic approaches in the retrieved studies were examined and the studies were categorized according to the diagnostic approaches investigated. Bibliometric data including journals, countries, affiliations, authors, and numbers of citations of the publications were summarised. The publications' keyword co-occurrence was analysed using VOSviewer. This bibliometric analysis included 1879 publications investigating seven categories of caries diagnostic approaches, including visual and/or tactile (n = 459; 19%), radiation-based (n = 662; 27%), light-based (n = 771; 32%), ultrasound-based (n = 28; 1%), electric-based (n = 51; 2%), molecular-based (n = 196; 8%) diagnostic approaches, as well as AI-based diagnostic interpretation aids (n = 265; 11%). An increase in the annual number of publications on caries diagnostic approaches was observed in the past 20 years. Caries Research (n = 103) presented the highest number of publications on caries diagnostic approaches. The country with the highest number of publications was the United States (n = 1092). The University of São Paulo was the institution that published the highest number of articles (n = 195). The publication with the highest citation has been cited 932 times. VOS viewer revealed that the most frequently occurring keywords were 'Deep Learning', 'Artificial Intelligence', 'Laser Fluorescence' and 'Radiography'. This bibliometric analysis highlighted an emerging global research trend in the detection and diagnosis approaches for dental caries in the past 20 years. An evident increase in publications on molecular-based caries diagnostic approaches and AI-based diagnostic interpretation aids was perceived over the last 5 years.

Automated Association for Osteosynthesis Foundation and Orthopedic Trauma Association classification of pelvic fractures on pelvic radiographs using deep learning.

High-energy impacts, like vehicle crashes or falls, can lead to pelvic ring injuries. Rapid diagnosis and treatment are crucial due to the risks of severe bleeding and organ damage. Pelvic radiography promptly assesses fracture extent and location, but struggles to diagnose bleeding. The AO/OTA classification system grades pelvic instability, but its complexity limits its use in emergency settings. This study develops and evaluates a deep learning algorithm to classify pelvic fractures on radiographs per the AO/OTA system. Pelvic radiographs of 773 patients with pelvic fractures and 167 patients without pelvic fractures were retrospectively analyzed at a single center. Pelvic fractures were classified into types A, B, and C using medical records categorized by an orthopedic surgeon according to the AO/OTA classification system. Accuracy, Dice Similarity Coefficient (DSC), and F1 score were measured to evaluate the diagnostic performance of the deep learning algorithms. The segmentation model showed high performance with 0.98 accuracy and 0.96-0.97 DSC. The AO/OTA classification model demonstrated effective performance with a 0.47-0.80 F1 score and 0.69-0.88 accuracy. Additionally, the classification model had a macro average of 0.77-0.94. Performance evaluation of the models showed relatively favorable results, which can aid in early classification of pelvic fractures.

Evaluation of tooth development stages with deep learning-based artificial intelligence algorithm.

BACKGROUND: This study aims to evaluate the performance of a deep learning system for the evaluation of tooth development stages on images obtained from panoramic radiographs from child patients. METHODS: The study collected a total of 1500 images obtained from panoramic radiographs from child patients between the ages of 5 and 14 years. YOLOv5, a convolutional neural network (CNN)-based object detection model, was used to automatically detect the calcification states of teeth. Images obtained from panoramic radiographs from child patients were trained and tested in the YOLOv5 algorithm. True-positive (TP), false-positive (FP), and false-negative (FN) ratios were calculated. A confusion matrix was used to evaluate the performance of the model. RESULTS: Among the 146 test group images with 1022 labels, there were 828 TPs, 308 FPs, and 1 FN. The sensitivity, precision, and F1-score values of the detection model of the tooth stage development model were 0.99, 0.72, and 0.84, respectively. CONCLUSIONS: In conclusion, utilizing a deep learning-based approach for the detection of dental development on pediatric panoramic radiographs may facilitate a precise evaluation of the chronological correlation between tooth development stages and age. This can help clinicians make treatment decisions and aid dentists in finding more accurate treatment options.

Breaking the threshold: developing multivariable models using computer-aided chest X-ray analysis for tuberculosis triage.

BACKGROUND: Computer-aided detection (CAD) software packages quantify tuberculosis-compatible chest X-ray (CXR) abnormality as continuous scores. In practice, a threshold value is selected for binary CXR classification. We assessed the diagnostic accuracy of an alternative approach to applying CAD for tuberculosis triage: incorporating CAD scores in multivariable modelling. METHODS: We pooled individual patient data from four studies. Separately for two commercial CAD, we used logistic regression to model microbiologically-confirmed tuberculosis. Models included CAD score, study site, age, sex, HIV status, and prior tuberculosis. We compared specificity at target sensitivities ≥90% between the multivariable model and the current threshold-based approach for CAD use. RESULTS: We included 4733/5640 (84%) participants with complete covariate data (median age 36 years; 45% female; 22% with prior tuberculosis; 22% people living with HIV). A total of 805 (17%) had tuberculosis. Multivariable models demonstrated excellent performance (areas under the receiver operating characteristic curve (95%CI): software A, 0.91 (0.90-0.93); software B, 0.92 (0.91-0.93)). Compared to threshold scores, multivariable models increased specificity (e.g. at 90% sensitivity, threshold vs model specificity (95%CI): software A, 71% (68%-74%) vs. 75% (74%-77%); software B, 69% (63%-75%) vs. 75% (74%-77%)). CONCLUSIONS: Using CAD scores in multivariable models outperformed the current practice of CAD-threshold-based CXR classification for tuberculosis diagnosis.

Mapping the migrant diagnostic radiographers in the UK: A national survey.

INTRODUCTION: The international recruitment of healthcare workers remains a UK strategy to manage workforce gaps and maintain service delivery. Although not a new phenomenon, this has been exacerbated by chronic shortages. There is a need to profile the current international recruits and identify individual motivators to understand the opportunities for future recruitment and retention initiatives. METHOD: A UK-wide electronic survey was conducted using the Jisc platform. The survey was promoted using social media and researcher networks. Eligibility criteria were diagnostic radiographers, internationally educated, and currently working in the UK. RESULTS: 226 responses were received. Most were working in England (90.7%) and 58.0% were under 35 years of age. The majority had migrated having moved to the UK since 2020 (63.7%) and the main drivers were career and/or training opportunities. Initial education was in 30 different countries, the highest number originating from Africa and Asia, with a median of 6 years post-qualification experience (IQR 4-11yrs). Despite experience, most were employed in band 5 (n = 72) or band 6 posts (n = 95). 56% had postgraduate qualifications on entry and a third had undertaken postgraduate study in the UK. CONCLUSION: Based on the survey responses, the profile of internationally recruited diagnostic radiographers is relatively young but with pre-migration experience originating all over the globe. They are motivated to work in the UK particular for career progression opportunities. IMPLICATIONS FOR PRACTICE: This study provides an insight into the motivations, demographics and employment patterns of internationally recruited radiographers working in the UK.

Automated radiographic hip morphology measurements: An open-access method.

Objective: The aim of this study is to present a newly developed automated method to determine radiographic measurements of hip morphology on dual-energy x-ray absorptiometry (DXA) images. The secondary aim was to compare the performance of the automated and manual measurements. Design: 30 DXA scans from 13-year-olds of the prospective population-based cohort study Generation R were randomly selected. The hip shape was outlined automatically using radiographic landmarks from which the acetabular depth-width ratio (ADR), acetabular index (AI), alpha angle (AA), Wiberg and lateral center edge angle (WCEA) (LCEA), extrusion index (EI), neck-shaft angle (NSA), and the triangular index (TI) were determined. Manual assessments were performed twice by two orthopedic surgeons. The agreement within and between observers and methods was visualized using Bland-Altman plots, and the reliability was studied using the intraclass correlation coefficient (ICC) with 95 % confidence intervals (CI). Results: The automated method was able to perform all radiographic hip morphology measurements. The intermethod reliability between the automated and manual measurements ranged from 0.57 to 0.96 and was comparable to or better than the manual interobserver reliability, except for the AI. Conclusion: This open-access, automated method allows fast and reproducible calculation of radiographic measurements of hip morphology on right hip DXA images. It is a promising tool for performing automated radiographic measurements of hip morphology in large population studies and clinical practice.

Trends in Radiation at a Level I Trauma Center.

Introduction Following traumatic injury, patients often require imaging modalities that subject them to large amounts of radiation. The current protocol for imaging workup in trauma patients includes plain radiographs and computed tomography (CT). Although these imaging modalities have improved quality and efficiency in trauma interventions, it is essential to understand their potential limitations and adverse effects. The large amounts of radiation from these imaging tests have raised concern for particularly vulnerable populations, including children and adolescents. Objective To evaluate the trends in radiation exposure in trauma assessment and imaging seen at a Level I trauma center. Methods This retrospective analysis used a de-identified dataset from the trauma registry at Desert Regional Medical Center Level I Trauma Center in Palm Springs, CA. Total radiation amounts were calculated based on the type of diagnostic modality. An effective radiation dose was assigned to each examination (radiograph and CT scan) based on the values provided by the American College of Radiology. Results There was a statistically significant positive correlation between injury severity score and effective radiation dose from imaging workup. From 2016 to 2021, radiation amount and year were found to be negatively correlated. There was a larger, statistically significant amount of radiation dosage among adult trauma patients (16.32 mSv) when compared to pediatric (6.32 mSv) and geriatric (12.67 mSv) groups. Conclusion Our Level I trauma center has observed a decline in radiation exposure with our current trauma protocols in place. On average, adult patients received the highest effective radiation dose to pediatric and geriatric patients. CT scans and radiography are essential tools in initial trauma workup and should be used only in appropriate patients.