Costing in Radiology and Health Care: Rationale, Relativity, Rudiments, and Realities

Expenditure mapping of pediatric imaging costs using a resource utilization band analysis of claims data

OBJECTIVE

To segregate imaging expenditures from claims data by resource utilization bands (RUBs) and underlying conditions to create an "expenditure map" of pediatric imaging costs.

METHODS

A Claims data for children enrolled in a commercial value-based plan were categorized by RUB 0 non-user, 1 healthy user, 2 low morbidity, 3 moderate morbidity, 4 high morbidity, & 5 very high morbidity. The per member per year (PMPY) expense, total imaging spend, and imaging modality with the highest spend were assessed for each RUB. Diagnosis categories associated with high imaging costs were also evaluated.

RESULTS

There were 40,022 pediatric plan members. 14% had imaging-related claims accounting for approximately $2.8 million in expenditures. Member distribution and mean PMPY expenditure RUB was respectively: RUB 0 (3,037, $0), RUB 1 (6,604, $7), RUB 2 - 13,698, $27), RUB 3 - 13,341, $87), RUB 4 (2,810, $268), RUB 5 (532, $841). RUB 3 had the largest total imaging costs at $1,159,523. The imaging modality with the greatest mean PMPY expense varied by RUB with radiography highest in lower RUBs and MRI highest in higher RUBs. The top 3 diagnoses associated with the highest total imaging costs were developmental disorders ($443,980), asthma ($388,797), and congenital heart disease ($294,977) and greatest mean PMPY imaging expenditures malignancy/leukemia ($3,100), transplant ($2,639), and tracheostomy ($1,661).

DISCUSSION

Expense mapping using claims data allows for a better understanding of the distribution of imaging costs across a covered pediatric population. This tool may assist organizations in planning effective cost-reduction initiatives and learning how imaging utilization varies by patient complexity in their system.

Understanding Provider Cost of MRI for Appendicitis in Children: A Time-Driven Activity-Based Costing Analysis

OBJECTIVE

To use time driven activity-based costing to characterize the provider cost of rapid MRI for appendicitis compared to other MRI examinations billed with the same Current Procedural Terminology codes commonly used for MRI appendicitis examinations.

METHODS

Rapid MRI appendicitis examination was compared with MRI pelvis without intravenous contrast, MRI abdomen/pelvis without intravenous contrast, and MRI abdomen/pelvis with intravenous contrast. Process maps for each examination were created through direct shadowing of patient procedures (n = 20) and feedback from relevant health care professionals. Additional data were collected from the electronic medical record for 327 MRI examinations. Practical capacity cost rates were calculated for personnel, equipment, and facilities. The cost of each step was calculated by multiplying the capacity cost rate with the mean duration of each step. Stepwise costs were summed to generate a total cost for each MRI examination.

RESULTS

The mean duration and costs for MRI examination type were as follows: MRI appendicitis: 11 (range: 6-25) min, $20.03 (7.80-44.24); MRI pelvis without intravenous contrast: 55 (29-205) min, $105.99 (64.18-285.13); MRI abdomen/pelvis without intravenous contrast: 65 (26-173) min, $144.83 (61.16-196.50); MRI abdomen/pelvis with intravenous contrast: 128 (39-303) min, $236.99 (102.62-556.54).

CONCLUSION

The estimated cost of providing a rapid appendicitis MRI examination is significantly less than other MRI examinations billed using Current Procedural Terminology codes typically used for appendicitis MRI. Mechanisms to appropriately bill rapid MRI examinations with limited sequences are needed to improve cost efficiency for the patient and to enable wider use of limited MRI examinations in the pediatric population.

Harnessing technology to measure individual differences in spatial thinking in early childhood from a relational developmental systems perspective

According to the Relational Developmental Systems perspective, the development of individual differences in spatial thinking (e.g., mental rotation, spatial reorientation, and spatial language) are attributed to various psychological (e.g., children's cognitive strategies), biological (e.g., structure and function of hippocampus), and cultural systems (e.g., caregiver spatial language input). Yet, measuring the development of individual differences in spatial thinking in young children, as well as the psychological, biological, and cultural systems that influence the development of these abilities, presents unique challenges. The current paper outlines ways to harness available technology including eye-tracking, eye-blink conditioning, MRI, Zoom, and LENA technology, to study the development of individual differences in young children's spatial thinking. The technologies discussed offer ways to examine children's spatial thinking development from different levels of analyses (i.e., psychological, biological, cultural), thereby allowing us to advance the study of developmental theory. We conclude with a discussion of the use of artificial intelligence.

Patient-centric comparative analysis of experiences in open upright and conventional closed MRI scanners

INTRODUCTION

MRI often induces anxiety, leading to incomplete scans and claustrophobia-related distress. Open MRI systems aim to enhance patient comfort. This study examines how prior MRI experiences impact subsequent encounters in an open upright MRI scanner.

METHODS

In this cross-sectional study, 118 adult patients completed a self-administered questionnaire from August 2022 to October 2023. It covered previous MRI experiences, including questions about claustrophobia, premature scan terminations, sedative medication usage, general MRI experiences, and interactions with radiology technologists.

RESULTS

Patients in open upright MRI reported less claustrophobia compared to closed MRI systems (18.4% vs. 58.3%), fewer premature scan terminations (5.3% vs. 31.0%), and less sedative use (5.3% vs. 46.9%). Moderate positive correlations were found between past and current claustrophobic events and premature scan terminations. Effective communication with radiology technologists was essential for patient comfort and reduced claustrophobia. Scan duration and noise triggered discomfort in 26.1% and 21.6% of study participants respectively. Persons without prior MRI experience were more satisfied with the examination and expressed no clear preference for future MRI settings, contrasting those with previous exposure favoring the open MRI setup.

CONCLUSION

The study emphasizes the benefits of open upright MRI for high-risk claustrophobic patients. It identifies the lasting impact of negative MRI experience on future examinations and highlights the crucial role of radiology technologists.

IMPLICATIONS FOR PRACTICE

Integrating open MRI scanners in medical facilities and prioritizing effective communication with radiology technologists enhances patient comfort. Positive experiences with open MRI may improve patient compliance and offer greater flexibility for future examinations.

Evaluation of claims data from a commercial value-based insurance product shows pediatric imaging is not a major driver of overall or pediatric healthcare expenditures

BACKGROUND

Initiatives to reduce healthcare expenditures often focus on imaging, suggesting that imaging is a major driver of cost.

OBJECTIVE

To evaluate medical expenditures and determine if imaging was a major driver in pediatric as compared to adult populations.

METHODS

We reviewed all claims data for members in a value-based contract between a commercial insurer and a healthcare system for calendar years 2021 and 2022. For both pediatric (<18 years of age) and adult populations, we analyzed average per member per year (PMPY) medical expenditures related to imaging as well as other categories of large medical expenses. Average PMPY expenditures were compared between adult and pediatric patients.

RESULTS

Children made up approximately 20% of members and 21% of member months but only 8-9% of expenditures. Imaging expenditures in pediatric members were 0.2% of the total healthcare spend and 2.9% of total pediatric expenditures. Imaging expenditures per member were seven times greater in adults than children. The rank order of imaging expenditures and imaging modalities was also different in pediatric as compared to adult members.

CONCLUSION

Evaluation of claims data from a commercial value-based insurance product shows that pediatric imaging is not a major driver of overall, nor pediatric only, healthcare expenditures.

The economic costs of orthopaedic services: a health system cost analysis of tertiary hospitals in a low-income country

BACKGROUND

Traumatic injuries are rising globally, disproportionately affecting low- and middle-income countries, constituting 88% of the burden of surgically treatable conditions. While contributing to the highest burden, LMICs also have the least availability of resources to address this growing burden effectively. Studies on the cost-of-service provision in these settings have concentrated on the most common traumatic injuries, leaving an evidence gap on other traumatic injuries. This study aimed to address the gap in understanding the cost of orthopaedic services in low-income settings by conducting a comprehensive costing analysis in two tertiary-level hospitals in Malawi.

METHODS

We used a mixed costing methodology, utilising both Top-Down and Time-Driven Activity-Based Costing approaches. Data on resource utilisation, personnel costs, medicines, supplies, capital costs, laboratory costs, radiology service costs, and overhead costs were collected for one year, from July 2021 to June 2022. We conducted a retrospective review of all the available patient files for the period under review. Assumptions on the intensity of service use were based on utilisation patterns observed in patient records. All costs were expressed in 2021 United States Dollars.

RESULTS

We conducted a review of 2,372 patient files, 72% of which were male. The median length of stay for all patients was 9.5 days (8-11). The mean weighted cost of treatment across the entire pathway varied, ranging from $195 ($136-$235) for Supracondylar Fractures to $711 ($389-$931) for Proximal Ulna Fractures. The main cost components were personnel (30%) and medicines and supplies (23%). Within diagnosis-specific costs, the length of stay was the most significant cost driver, contributing to the substantial disparity in treatment costs between the two hospitals.

CONCLUSION

This study underscores the critical role of orthopaedic care in LMICs and the need for context-specific cost data. It highlights the variation in cost drivers and resource utilisation patterns between hospitals, emphasising the importance of tailored healthcare planning and resource allocation approaches. Understanding the costs of surgical interventions in LMICs can inform policy decisions and improve access to essential orthopaedic services, potentially reducing the disease burden associated with trauma-related injuries. We recommend that future studies focus on evaluating the cost-effectiveness of orthopaedic interventions, particularly those that have not been analysed within the existing literature.

Value Creation Through Artificial Intelligence and Cardiovascular Imaging: A Scientific Statement From the American Heart Association

Multiple applications for machine learning and artificial intelligence (AI) in cardiovascular imaging are being proposed and developed. However, the processes involved in implementing AI in cardiovascular imaging are highly diverse, varying by imaging modality, patient subtype, features to be extracted and analyzed, and clinical application. This article establishes a framework that defines value from an organizational perspective, followed by value chain analysis to identify the activities in which AI might produce the greatest incremental value creation. The various perspectives that should be considered are highlighted, including clinicians, imagers, hospitals, patients, and payers. Integrating the perspectives of all health care stakeholders is critical for creating value and ensuring the successful deployment of AI tools in a real-world setting. Different AI tools are summarized, along with the unique aspects of AI applications to various cardiac imaging modalities, including cardiac computed tomography, magnetic resonance imaging, and positron emission tomography. AI is applicable and has the potential to add value to cardiovascular imaging at every step along the patient journey, from selecting the more appropriate test to optimizing image acquisition and analysis, interpreting the results for classification and diagnosis, and predicting the risk for major adverse cardiac events.

Image Quality of Lumbar Spine Imaging at 0.55T Low-Field MRI is Comparable to Conventional 1.5T MRI - Initial Observations in Healthy Volunteers

RATIONALE AND OBJECTIVES

To assess the potential of 0.55T low-field MRI system in lumbar spine imaging with and without the use of additional advanced postprocessing techniques.

MATERIALS AND METHODS

The lumbar spine of 14 volunteers (32.9 ± 3.6 years) was imaged both at 0.55T and 1.5T using sequences from clinical routine. On the 0.55T scanner system, additional sequences with simultaneous multi-slice acquisition and artificial intelligence-based postprocessing techniques were acquired. Image quality of all 28 examinations was assessed by three musculoskeletal radiologists with respect to signal/contrast, resolution, and assessability of the spinal canal and neuroforamina using a 5-point Likert scale (1 = non-diagnostic to 5 = perfect quality). Interrater agreement was evaluated with the Intraclass Correlation Coefficient and the Mann-Whitney U test (significance level: p < 0.05).

RESULTS

Image quality at 0.55T was rated lower on the 5-point Likert scale compared to 1.5T regarding signal/contrast (mean: 4.16 ± 0.29 vs. 4.54 ± 0.29; p < 0.001), resolution (4.07 ± 0.31 vs. 4.49 ± 0.30; p < 0.001), assessability of the spinal canal (4.28 ± 0.13 vs. 4.73 ± 0.26; p < 0.001) and the neuroforamina (4.14 ± 0.28 vs. 4.70 ± 0.27; p < 0.001). Image quality for the AI-processed sagittal T1 TSE and T2 TSE at 0.55T was also rated slightly lower, but still good to perfect with a concomitant reduction in measurement time. Interrater agreement was good to excellent (range: 0.60-0.91).

CONCLUSION

While lumbar spine image quality at 0.55T is perceived inferior to imaging at 1.5T by musculoskeletal radiologists, good overall examination quality was observed with high interrater agreement. Advanced postprocessing techniques may accelerate intrinsically longer acquisition times at 0.55T.

Health Systems Science - A Primer for Radiologists

Health systems science (HSS) is an educational framework designed to promote improved care through enhanced citizenship and the training of systems-fluent individuals trained in the science of health care delivery.  HSS education in residency builds upon foundations established during medical school, emphasizing practical skills development, and fostering a growth mindset among trainees.  The HSS framework organizes elements of system-based practice for radiology trainees, promoting practice-readiness for providing safe, timely, effective, efficient, equitable and patient centered radiological care. This paper serves as a primer for radiologists to understand and apply the HSS framework. Additionally, we highlight radiology-specific curricular elements aligned with the HSS framework, and provide teaching resources both for classroom education and for resident self-study.

Pediatric Outpatient Noncontrast Brain MRI: A Time-Driven Activity-Based Costing Analysis at Three U.S. Hospitals

BACKGROUND. MRI utilization and the use of sedation or anesthesia for MRI have increased in children. Emerging alternative payment models (APMs) require a detailed understanding of the health system costs of performing these examinations. OBJECTIVE. The purpose of this study was to use time-driven activity-based costing (TDABC) to assess health system costs for outpatient noncontrast brain MRI examinations across three children's hospitals. METHODS. Direct costs for outpatient noncontrast brain MRI examinations at three academic free-standing pediatric hospitals were calculated using TDABC. Examinations were categorized as sedated MRI (i.e., sedation or anesthesia), nonsedated MRI, or limited MRI. Process maps were created to describe patient workflows based on input from key personnel and direct observation. Time durations for each process activity were determined; time stamps from retrospective EMR review were used when possible. Capacity cost rates were calculated for resource types within three cost categories (labor, equipment, and space); cost was calculated in a fourth category (supplies). Resources were allocated to each activity, and the cost of each process step was determined by multiplying step-specific capacity costs by the time required for each step. The costs of all steps were summed to yield a base-case total examination cost. Sensitivity analysis for sedated MRI was performed using minimum and maximum time duration inputs for each activity to yield minimum and maximum costs by hospital. RESULTS. The mean base-case cost for a sedated brain MRI examination was $842 (range, $775-924 across hospitals), for a nonsedated brain MRI examination was $262 (range, $240-285), and for a limited brain MRI examination was $135 (range, $127-141). For all examination types, the largest cost category as well as the largest source of difference in cost between hospitals was labor. Sensitivity analysis found that the greatest influence on overall cost at each hospital was the duration of the MRI acquisition. CONCLUSION. The health system cost of performing a sedated MRI examination was substantially greater than that of performing a nonsedated MRI examination. However, the cost of each individual examination type did not vary substantially among hospitals. CLINICAL IMPACT. Health systems operating within APMs can use this comparative cost information for purposes of cost reduction efforts and establishment of bundled prices.

Surgeon preferences are associated with utilization of telehealth in fracture care

BACKGROUND

The SARS-CoV-2 (COVID-19) pandemic has the potential to evoke lasting changes in the delivery of care, and the utilization of telehealth. We sought associations between surgeon personal factors and greater use of telehealth to treat fractures relative to in-person care.

METHODS

Seventy-five fracture surgeons participated in a survey-based experiment. All surgeons were asked about their preferences regarding remote compared to in-person communication. Participants rated the following items on slider scales: their degree of introversion, the importance of a hands-on/physical exam and surgeon preferences regarding telehealth. We identified factors associated with the use of, and comfort with, telehealth.

RESULTS

The use of telehealth during the pandemic was associated with comfort evaluating wounds via telehealth. A greater proportion of remote visits was associated with comfort evaluating wounds and confidence teaching exercises via telehealth. There was consensus that telehealth did not alter utilization rates of radiographs or offer of discretionary surgery. The use of absorbable sutures to limit in-person visits was associated with a preference for working from home and greater comfort with evaluating wounds remotely. The use of 2- and 6-week post-operative telehealth visits and plans to use telehealth after the pandemic (52%) were associated with greater comfort in evaluating wounds through telehealth and greater confidence with video instruction of exercises.

CONCLUSIONS

The finding that personal factors are associated with utilization of telehealth helps target strategies for increased use of telehealth and other technologies as the pandemic wanes. Given that telehealth adds convenience for people with ambulatory difficulties or in remote areas, such efforts are warranted.

LEVEL OF EVIDENCE

Not applicable.

Contribución de la radiología digital al mejoramiento de la calidad en el servicio de imagenología

Objetivo. El presente estudio documental evalúa las estrategias óptimas de la radiología digital (DR) en los servicios de Radiología en los hospitales de baja y mediana complejidad en Colombia. Método. Revisión bibliográfica exhaustiva donde se identificó los beneficios y se hizo comparación con la radiología análoga, se desarrolló basado en una muestra de 32 artículos científicos en diferentes revistas como Dialnet, SciELO, Scopus, Springer Open, IOP Science. Resultado. La imagen por rayos X es una tecnología poderosa y de bajo costo que se ha utilizado ampliamente en el diagnóstico médico. La importancia tecnológica de las imágenes de rayos X ha llevado al rápido desarrollo de detectores de rayos X de alto rendimiento y las aplicaciones de imágenes asociadas. Por lo tanto, los servicios de imágenes médicas proponen estrategias efectivas en la funcionalidad de la radiología digital, factores que interfieren con el proceso del sistema informático. Conclusión. Teniendo en cuenta los avances técnicos y fundamentales de los detectores de rayos X, el surgimiento de la radiografía computarizada (CR) (DR) ha llevado a la evolución tecnológica para la obtención de imágenes de rayos X digitales con información más precisa e instantánea, mientras que su mecanismode lectura separado adolece de limitaciones técnicas, como una alta dosis de radiación y una imagen no dinámica, esto permite a los prestadores de servicio de imagenología se motiven a invertir en una tecnología adecuada para generar un aprovechamiento más óptimo de los recursos y el servicio sea prestado al paciente con alta calidad.

Validation of a deep learning, value-based care model to predict mortality and comorbidities from chest radiographs in COVID-19

We validate a deep learning model predicting comorbidities from frontal chest radiographs (CXRs) in patients with coronavirus disease 2019 (COVID-19) and compare the model's performance with hierarchical condition category (HCC) and mortality outcomes in COVID-19. The model was trained and tested on 14,121 ambulatory frontal CXRs from 2010 to 2019 at a single institution, modeling select comorbidities using the value-based Medicare Advantage HCC Risk Adjustment Model. Sex, age, HCC codes, and risk adjustment factor (RAF) score were used. The model was validated on frontal CXRs from 413 ambulatory patients with COVID-19 (internal cohort) and on initial frontal CXRs from 487 COVID-19 hospitalized patients (external cohort). The discriminatory ability of the model was assessed using receiver operating characteristic (ROC) curves compared to the HCC data from electronic health records, and predicted age and RAF score were compared using correlation coefficient and absolute mean error. The model predictions were used as covariables in logistic regression models to evaluate the prediction of mortality in the external cohort. Predicted comorbidities from frontal CXRs, including diabetes with chronic complications, obesity, congestive heart failure, arrhythmias, vascular disease, and chronic obstructive pulmonary disease, had a total area under ROC curve (AUC) of 0.85 (95% CI: 0.85-0.86). The ROC AUC of predicted mortality for the model was 0.84 (95% CI,0.79-0.88) for the combined cohorts. This model using only frontal CXRs predicted select comorbidities and RAF score in both internal ambulatory and external hospitalized COVID-19 cohorts and was discriminatory of mortality, supporting its potential use in clinical decision making.

Detection of doxorubicin-induced cardiotoxicity using myocardial T1 and T2 relaxation times in childhood acute lymphoblastic leukemia survivors

Doxorubicin leads to dose-dependent cardiotoxicity in childhood acute lymphoblastic leukemia (ALL) survivors. The first aim was to propose a contour-based estimation of T1 and T2 relaxation times based on the myocardial area, while our second aim was to evaluate native T1, post-gadolinium T1 and T2 relaxation time sensitivity to detect myocardial changes. A total of 84 childhood ALL survivors were stratified in regard to their prognostic risk groups: standard risk (SR), n = 20), high-risk with and without dexrazoxane (HR + DEX, n = 39 and HR, n = 25). Survivors' mean age was of 22.0 ± 6.9 years, with a mean age at cancer diagnosis of 8.0 ± 5.2 years. CMR acquisitions were performed on a 3 T MRI system and included an ECG-gated 3(3)3(3)5 MOLLI sequence for T1 mapping and an ECG-gated T2-prepared TrueFISP sequence for T2 mapping. Myocardial contours were semi-automatically segmented using an interactive implementation of cubic Bezier curves. We found excellent repeatability between operators for native T1 (ICC = 0.91), and good repeatability between operators for post-gadolinium T1 (ICC = 0.84) and T2 (ICC = 0.79). Bland and Altman tests demonstrated a strong agreement between our contour-based method and images analyzed using the CVI42 software on the measure of native T1, post-gadolinium T1, and T2. No significant differences between survivors' prognostic risk groups in native T1 were reported, while we observed significant differences between survivors' prognostic risk groups in post-gadolinium T1 and T2. Significant differences were observed between male and female survivors. Differences between groups were also observed in partition coefficients, but no significant differences were observed between male and female survivors. The use of CMR parameters with native T1, post-gadolinium T1, and T2 allowed to show that survivors at a high-risk prognostic were more exposed to doxorubicin-related cardiotoxicity than those who were at a standard risk prognostic or who received dexrazoxane treatments.

Current Controversies in Radiology on Cost, Reimbursement, and Price Transparency: AJR Expert Panel Narrative Review

Many believe that fundamental reform of the U.S. healthcare system is overdue and necessary given rising national healthcare expenditures, poor performance on key population health metrics, meaningful health disparities, concerns about potential financial toxicity of care, inadequate price transparency, pending insolvency of Medicare Part A, increasing commercial insurance premiums, and significant uninsured and underinsured populations. The Medicare Payment Advisory Commission (MedPAC), an independent congressional agency, believes that part of this reform includes redistribution of reimbursements away from specialties such as radiology. Thus, despite an increase in the Medicare population and spending, Medicare payments for medical imaging have been decreasing for years. Further, the No Surprises Act, a federal law intended to curb the problem of surprise medical billing, was re-purposed in federal rule-making to reduce reimbursement from commercial payers to certain specialties including radiology. In this article, we examine challenges facing the U.S. healthcare system, focusing on cost, reimbursement, and price transparency, and the role of radiology in addressing such challenges. Medical imaging is a minor contributor to national healthcare expenditures, but provides an outsized impact on patient care. The radiology community should work together to demonstrate the value of medical imaging and reduce inappropriate utilization of low-value care.

Value in acute care surgery, Part 1: Methods of quantifying cost

BACKGROUND

With health care expenditures continuing to increase rapidly, the need to understand and provide value has become more important than ever. In order to determine the value of care, the ability to accurately measure cost is essential. The acute care surgeon leader is an integral part of driving improvement by engaging in value increasing discussions. Different approaches to quantifying cost exist depending on the purpose of the analysis and available resources. Cost analysis methods range from detailed microcosting and time-driven activity-based costing to less complex gross and expenditure-based approaches. An overview of these methods and a practical approach to costing based on the needs of the acute care surgeon leader is presented.

Intravenous contrast does not improve detection of nerve lesions or active muscle denervation changes in MR neurography of the common peroneal nerve

OBJECTIVE

To evaluate the effect of intravenous (IV) contrast on sensitivity, specificity, and accuracy of magnetic resonance (MR) neurography of the knee with attention to the common peroneal nerve (CPN) in identifying nerve lesions and active muscle denervation changes.

MATERIALS AND METHODS

A retrospective search for contrast-enhanced MR neurography cases evaluating the CPN at the knee was performed. Patients with electrodiagnostic testing (EDX) within 3 months of imaging were included and those with relevant prior surgery were excluded. Two radiologists independently reviewed non-contrast sequences and then 4 weeks later evaluated non-contrast and contrast sequences. McNemar's tests were performed to detect a difference between non-contrast only and combined non-contrast and contrast sequences in identifying nerve lesions and active muscle denervation changes using EDX as the reference standard.

RESULTS

Forty-four exams in 42 patients (2 bilateral) were included. Twenty-eight cases had common peroneal neuropathy and 29, 21, and 9 cases had active denervation changes in the anterior, lateral, and posterior compartment/proximal muscles respectively on EDX. Sensitivity, specificity, and accuracy of non-contrast versus combined non-contrast and contrast sequences for common peroneal neuropathy were 50.0%, 56.2%, and 52.3% versus 50.0%, 56.2%, and 52.3% for reader 1 and 57.1%, 50.0%, and 54.5% versus 64.3%, 56.2%, and 61.4% for reader 2. Sensitivity, specificity, and accuracy of non-contrast and combined non-contrast and contrast sequences in identifying active denervation changes for anterior, lateral, and posterior compartment muscles were not significantly different. McNemar's tests were all negative.

CONCLUSION

IV contrast does not improve the ability of MR neurography to detect CPN lesions or active muscle denervation changes.

Does Patient Satisfaction Drive Volumes in Outpatient Magnetic Resonance Imaging?

OBJECTIVE

To help quantify the potential microeconomic impact of patient satisfaction in radiology, we tested the hypothesis that patient volume trends reflect patient satisfaction trends in outpatient magnetic resonance imaging (MRI).

METHODS

Patient visits (N = 39,595) at distinct outpatient MRI sites within a university-affiliated hospital system during a 1-year period were retrospectively analyzed. Individual sites were grouped as having "decreasing," "stable," or "increasing" volume using an average quarterly volume change threshold of 5%. Based on Press Ganey outpatient services surveys, changes in satisfaction scores from the baseline quarter were calculated. Mood's median tests were applied to assess statistical significance of differences in satisfaction score improvements among the three volume trend designations during the 3 post-baseline fiscal quarters.

RESULTS

Quarterly volume was stable at 6 sites, increased at 1 site (by 18%), and decreased at 2 sites (by 20%-24%). There was a statistically significant association between volume trend and net change in satisfaction scores for all 5 domains assessed on the Press Ganey survey: Overall assessment (P < 0.0001), Facilities (P = 0.026), Personal issues (P = 0.013), Registration (P = 0.0004), and Test or treatment (P < 0.0001), with median score changes generally higher at facilities with higher volume trends.

DISCUSSION

It can be inferred that patient satisfaction drives volume in this scenario, whereas the converse relationship of volume adversely affecting satisfaction is not observed. Patient satisfaction and volume at MRI sites are interrelated, and patient experiences or perceptions of quality may influence decisions regarding what imaging sites are preferentially utilized.

Software-Based Evaluation of Optimization Potential for Clinical MRI Scanners in Radiology

OBJECTIVE

 The aim of the study was to use a software application to analyze the examination times and changeover times of two clinically highly applied MRI scanners at a university hospital for radiology and to evaluate whether this could result in optimization potential for examination planning in the daily clinical routine of MRI diagnostics.

MATERIALS AND METHODS

 Based on the newly developed software application "Teamplay Usage" (Siemens Healthineers, Germany), the examinations carried out on two MRI scanners (1.5 T and 3 T) were investigated within an analysis period of 12 months with regard to the type of examination and its duration. In addition, compliance with the previously defined planning time (30, 45, 60 min.) was checked and deviations were analyzed. In addition, the changeover times between the examinations were determined and a possible influence due to the exchange of MRI coils was investigated for a selection of change combinations.

RESULTS

 For the total of 7184 (1.5 T: 3740; 3 T: 3444) examinations included in the study, the median examination time was 43:02 minutes (1.5 T: 43:17 min.; 3 T: 42:45 min.). The ten most frequent types of examinations per MRI scanner were completed within the predefined plan time of 54.5 % (1.5 T) and 51.9 % (3 T), taking into account a previously defined preparation and post-processing time of 9 minutes per examination. Overall, more time was spent on examinations with a planned time of 30 minutes, whereas the majority of the examinations planned with 45 minutes were also completed within this time. Examinations with a planned time of 60 minutes usually took less time. A comparison between the planned time and the determined examination duration of the most common types of examinations showed overall a slight potential for optimization. Coil exchanges between two examinations had a small, but statistically not significant effect on the median changeover time (p = 0.062).

CONCLUSION

 Utilizing a software-based analysis, a detailed overview of the type of examination, examination duration, and changeover times of frequently used clinical MRI scanners could be obtained. In the clinic examined, there was little potential for optimization of examination planning. An exchange of MRI coils necessary for different types of examination only had a small effect on the changeover times.

KEY POINTS

  · The use of the "Teamplay Usage" software application enables a comprehensive overview of the type of examination, examination duration, and changeover times for MRI scanners.. · Adjustments to examination planning for MRI diagnostics show optimization potential, which, however, is to be assessed as low in the clinic examined.. · Necessary replacements of MRI coils only have a small effect on the changeover times..

CITATION FORMAT

· Meyl TP, Berghöfer A, Blatter T et al. Software-Based Evaluation of Optimization Potential for Clinical MRI Scanners in Radiology. Fortschr Röntgenstr 2021; DOI: 10.1055/a-1659-8821.

Socio-Economic Disparities in Access to Diagnostic Neuroimaging Services in the United Kingdom: A Systematic Review

Socio-economic factors affecting health care can lead to delays in diagnosis of neurological conditions, consequentially affecting treatment and morbidity rates. This inequality in health care can leave patients from lower socio-economic backgrounds more vulnerable to a poorer quality of care from health care providers in the United Kingdom (U.K.). Aims: In this systematic review, we assess the impact of socio-economic status on the use of diagnostic neuroimaging in the U.K., measured by the timeliness, accessibility and appropriate use of computed tomography (CT), magnetic resonance imaging (MRI), ultrasonography, electroencephalography (EEG) and single-photon emission computed tomography (SPECT). We specifically evaluate the non-surgical use of neuroimaging techniques as this relies on the judgment of primary care-givers (e.g., doctors and radiologists), where health disparities are most common. This study includes the analysis of diagnostic imaging used for dementia, minor head injury, stroke, cancer, epilepsy, chronic inflammatory demyelinating polyneuropathy and Parkinson’s disease. With this study, we aim to assess the health inequalities at disease diagnosis. Methods: Using Medline (via Ovid), PubMed and Web of Science databases as sources of information, we critically appraise existing studies on neuroimaging use in the U.K. health care system, published between January 2010 and February 2021. Findings: A total of 18 studies were included in this research, revealing that there was an increase in patients of Black and Asian communities diagnosed with dementia and at an earlier age. There was little evidence to suggest that a lack of access to diagnostic imaging is associated with socio-economic status. However, there are data to suggest that people of a lower socio-economic background require more specialist services with diagnostic neuroimaging tools. In addition, there is evidence to suggest that diagnostic neuroimaging techniques could be utilised more effectively by health care workers to prevent unnecessary delays in diagnosis for patients in lower socio-economic areas.

How to improve access to medical imaging in low- and middle-income countries ?

Imaging has become key in the care pathway of communicable and non-communicable diseases. Yet, there are major shortages of imaging equipment and workforce in low- and middle-income countries (LMICs). The International Society of Radiology outlines a plan to upscale the role of imaging in the global health agenda and proposes a holistic approach for LMICs. A generic model for organising imaging services in LMICs via regional Centres of Reference is presented. The need to better exploit IT and the potential of artificial intelligence for imaging, also in the LMIC setting, is highlighted. To implement the proposed plan, involvement of professional and international organisations is considered crucial. The establishment of an International Commission on Medical Imaging under the umbrella of international organisations is suggested and collaboration with other diagnostic disciplines is encouraged to raise awareness of the importance to upscale diagnostics at large and to foster its integration into the care pathway globally.

Self-supervised deep learning model for COVID-19 lung CT image segmentation highlighting putative causal relationship among age, underlying disease and COVID-19

Background

Coronavirus disease 2019 (COVID-19) is very contagious. Cases appear faster than the available Polymerase Chain Reaction test kits in many countries. Recently, lung computerized tomography (CT) has been used as an auxiliary COVID-19 testing approach. Automatic analysis of the lung CT images is needed to increase the diagnostic efficiency and release the human participant. Deep learning is successful in automatically solving computer vision problems. Thus, it can be introduced to the automatic and rapid COVID-19 CT diagnosis. Many advanced deep learning-based computer vison techniques were developed to increase the model performance but have not been introduced to medical image analysis.

Methods

In this study, we propose a self-supervised two-stage deep learning model to segment COVID-19 lesions (ground-glass opacity and consolidation) from chest CT images to support rapid COVID-19 diagnosis. The proposed deep learning model integrates several advanced computer vision techniques such as generative adversarial image inpainting, focal loss, and lookahead optimizer. Two real-life datasets were used to evaluate the model’s performance compared to the previous related works. To explore the clinical and biological mechanism of the predicted lesion segments, we extract some engineered features from the predicted lung lesions. We evaluate their mediation effects on the relationship of age with COVID-19 severity, as well as the relationship of underlying diseases with COVID-19 severity using statistic mediation analysis.

Results

The best overall F1 score is observed in the proposed self-supervised two-stage segmentation model (0.63) compared to the two related baseline models (0.55, 0.49). We also identified several CT image phenotypes that mediate the potential causal relationship between underlying diseases with COVID-19 severity as well as the potential causal relationship between age with COVID-19 severity.

Conclusions

This work contributes a promising COVID-19 lung CT image segmentation model and provides predicted lesion segments with potential clinical interpretability. The model could automatically segment the COVID-19 lesions from the raw CT images with higher accuracy than related works. The features of these lesions are associated with COVID-19 severity through mediating the known causal of the COVID-19 severity (age and underlying diseases).

Supplementary Information

The online version contains supplementary material available at 10.1186/s12967-021-02992-2.

Financial burden of postoperative complications following colonic resection: A systematic review

BACKGROUND

Colonic resection is a common surgical procedure that is associated with a high rate of postoperative complications. Postoperative complications are expected to be major contributors to hospital costs. Therefore, this systematic review aims to outline the health costs of postoperative complications following colon resection surgery.

METHODS

MEDLINE, Excerpta Medica database, Cochrane, and Economics literature medical databases were searched from 2010 to 2019 to identify English studies containing an economic evaluation of postoperative complications following colonic resection in adult patients. All surgical techniques and indications for colon resection were included. Eligible study designs included randomized trials, comparative observational studies, and conference abstracts.

RESULTS

Thirty-four articles met the eligibility criteria. We found a high overall complication incidence with associated increased costs ranging from $2290 to $43,146. Surgical site infections and anastomotic leak were shown to be associated with greater resource utilization relative to other postoperative complications. Postoperative complications were associated with greater incidence of hospital readmission, which in turn is highlighted as a significant financial burden. Weak evidence demonstrates increased complication incidence and costlier complications with open colon surgery as compared to laparoscopic surgery. Notably, we identified a vast degree of heterogeneity in study design, complication reporting and costing methodology preventing quantitative analysis of cost results.

CONCLUSIONS

Postoperative complications in colonic resection appear to be associated with a significant financial burden. Therefore, large, prospective, cost-benefit clinical trials investigating preventative strategies, with detailed and consistent methodology and reporting standards, are required to improve patient outcomes and the cost-effectiveness of our health care systems.

The direct costs of coronary CT angiography relative to contrast-enhanced thoracic CT: Time-driven activity-based costing

BACKGROUND

Coronary CT angiography (CCTA) and contrast-enhanced thoracic CT (CECT) are distinctly different diagnostic procedures that involve intravenous contrast-enhanced CT of the chest. The technical component of these procedures is reimbursed at the same rate by the Centers for Medicare and Medicaid Services (CMS). This study tests the hypothesis that the direct costs of performing these exams are significantly different.

METHODS

Direct costs for both procedures were measured using a time-driven activity-based costing (TDABC) model. The exams were segmented into four phases: preparation, scanning, post-scan monitoring, and image processing. Room occupancy and direct labor times were collected for scans of 54 patients (28 CCTA and 26 CECT studies), in seven medical facilities within the USA and used to impute labor and equipment cost. Contrast material costs were measured directly. Cost differences between the exams were analyzed for significance and variability.

RESULTS

Mean CCTA duration was 3.2 times longer than CECT (121 and 37 ​min, respectively. p ​< ​0.01). Mean CCTA direct costs were 3.4 times those of CECT ($189.52 and $55.28, respectively, p ​< ​0.01). Both labor and capital equipment costs for CCTA were significantly more expensive (6.5 and 1.8-fold greater, respectively, p ​< ​0.001). Segmented by procedural phase, CCTA was both longer and more expensive for each (p ​< ​0.01). Mean direct costs for CCTA exceeded the standard CMS technical reimbursement of $182.25 without accounting for indirect or overhead costs.

CONCLUSION

The direct cost of performing CCTA is significantly higher than CECT, and thus reimbursement schedules that treat these procedures similarly undervalue the resources required to perform CCTA and possibly decrease access to the procedure.

Radiology in the Era of Value-Based Healthcare: A Multi Society Expert Statement From the ACR, CAR, ESR, IS3R, RANZCR, and RSNA

BACKGROUND

The Value-Based Healthcare (VBH) concept is designed to improve individual healthcare outcomes without increasing expenditure, and is increasingly being used to determine resourcing of and reimbursement for medical services. Radiology is a major contributor to patient and societal healthcare at many levels. Despite this, some VBH models do not acknowledge radiology's central role; this may have future negative consequences for resource allocation.

METHODS, FINDINGS AND INTERPRETATION

This multi-society paper, representing the views of Radiology Societies in Europe, the USA, Canada, Australia, and New Zealand, describes the place of radiology in VBH models and the health-care value contributions of radiology. Potential steps to objectify and quantify the value contributed by radiology to healthcare are outlined.

Sustainability of paediatric radiology in Italy

Italy is the sixth most populous country in Europe and has the second highest average life expectancy, reaching 79.4 years for men and 84.5 for women. However, Italy has one of the lowest total fertility rates in the world: in 2018 it was 1.3 births per woman, with the population older than 65 comprising more than 30%, and those younger-than-19 less than 15%. Older people are the main concern of the Italian health system. Weighted coefficients for the allocation of funds favour older adults. As confirmed by our study, paediatric radiology is expensive, and the reimbursement based on Italian adult rates is not sufficient. The negative impact on the budget discourages the diffusion of paediatric radiology both in the private practices that provide services paid for by the state government and in the public hospitals. The 501 paediatric hospital units in Italy are not homogeneously distributed throughout the national territory. Furthermore, in Italy there are 12 highly specialised children's hospitals whose competences were defined in 2005 by the Ministry of Health. Paediatric radiology is not included among the highly qualified specialties. The quality gap in paediatric radiology between children's hospitals and general hospitals, the latter often without paediatric radiologists, is evident in daily practice with misdiagnoses and investigations not carried out.

Financial implications of CT-guided lung biopsy in a tertiary centre: a radiologists' perspective

AIM

To evaluate the financial costs of performing computed tomography (CT)-guided lung biopsies in a large tertiary centre to help guide service development.

MATERIALS AND METHODS

Local financial data were collected to create a balance sheet, considering all expenses as well as revenue sources associated with the procedure. Data were based on accurate pricing and income data and evaluated on a per-procedure basis, with consideration of additional costs arising from post-procedural complications. Revenue data were estimated based on reimbursement information. A small coding quality audit was also performed to check if reimbursement claims were filed correctly.

RESULTS

This study demonstrated a healthy income generated from CT-guided lung biopsy procedures with a profit margin of 50%. Notably different financial impact was observed when comparing the same procedure undertaken on an outpatient as opposed to inpatient basis with inpatient procedures generating a net loss of - £2,146.79 a year. Overall, the activity generated a profit of £157,015.25, after accounting for loss generated by inpatient activity.

CONCLUSION

This analysis furthered understanding of the financial impact from performing CT-guided lung biopsy and will enable better planning and expansion of the service in the future, with emphasis around day-case and ambulatory service development, the positive intended consequence being an improved patient pathway.

Prospective cost implications with a clinical decision support system for pediatric emergency head computed tomography

BACKGROUND

Unnecessary imaging is a potential cost driver in the United States health care system.

OBJECTIVE

Using a clinical decision support tool, we determined the percentage of low-utility non-contrast head computed tomography (CT) examinations on emergency patients and calculated the prospective cost implications of providing low-value imaging using time-driven activity-based costing at an academic quaternary pediatric hospital.

MATERIALS AND METHODS

A clinical decision support tool for imaging, CareSelect (National Decision Support Co., Madison, WI), was integrated in silent mode into the electronic health record from September 2018 through August 2019. Each non-contrast head CT order received a score from the clinical decision support tool based on the American College of Radiology Appropriateness Criteria. Descriptive statistics for all levels of appropriateness scores were compiled with an emphasis on low-utility exams. A micro-costing assessment was conducted using time-driven activity-based costing on head CT without contrast examinations.

RESULTS

Within the 11-month time period, 3,186 head CT examinations without contrast were ordered for emergency center patients. Among these orders, 28% (896/3,186) were classified as low-utility studies. The base case CT pathway time was 43 min and base case total cost was $193.35. The base case opportunity cost of these low-utility exams extrapolated annually amounts to $188,902 for our institution.

CONCLUSION

Silent mode implementation of a clinical decision support tool resulted in 28% of head CT non-contrast exams on emergency patients being graded as low-utility studies. Prospective cost implications resulted in an annual base case cost of $188,902 to Texas Children's Hospital.

Radiology in the Era of Value-Based Healthcare: A Multi-Society Expert Statement From the ACR, CAR, ESR, IS3R, RANZCR, and RSNA

BACKGROUND

The Value-Based Healthcare (VBH) concept is designed to improve individual healthcare outcomes without increasing expenditure, and is increasingly being used to determine resourcing of and reimbursement for medical services. Radiology is a major contributor to patient and societal healthcare at many levels. Despite this, some VBH models do not acknowledge radiology's central role; this may have future negative consequences for resource allocation.

METHODS, FINDINGS AND INTERPRETATION

This multi-society paper, representing the views of Radiology Societies in Europe, the USA, Canada, Australia, and New Zealand, describes the place of radiology in VBH models and the health-care value contributions of radiology. Potential steps to objectify and quantify the value contributed by radiology to healthcare are outlined.

Radiology in the era of value-based healthcare: a multi-society expert statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA

Background

The Value-Based Healthcare (VBH) concept is designed to improve individual healthcare outcomes without increasing expenditure, and is increasingly being used to determine resourcing of and reimbursement for medical services. Radiology is a major contributor to patient and societal healthcare at many levels. Despite this, some VBH models do not acknowledge radiology’s central role; this may have future negative consequences for resource allocation.

Methods, findings and interpretation

This multi-society paper, representing the views of Radiology Societies in Europe, the USA, Canada, Australia, and New Zealand, describes the place of radiology in VBH models and the healthcare value contributions of radiology. Potential steps to objectify and quantify the value contributed by radiology to healthcare are outlined.

Radiology in the Era of Value-based Healthcare: A Multi-Society Expert Statement from the ACR, CAR, ESR, IS3R, RANZCR, and RSNA

Background The Value-Based Healthcare (VBH) concept is designed to improve individual healthcare outcomes without increasing expenditure, and is increasingly being used to determine resourcing of and reimbursement for medical services. Radiology is a major contributor to patient and societal healthcare at many levels. Despite this, some VBH models do not acknowledge radiology's central role; this may have future negative consequences for resource allocation. Methods, findings and interpretation This multi-society paper, representing the views of Radiology Societies in Europe, the USA, Canada, Australia, and New Zealand, describes the place of radiology in VBH models and the health-care value contributions of radiology. Potential steps to objectify and quantify the value contributed by radiology to healthcare are outlined. Published under a CC BY 4.0 license.

Radiology in the era of value-based healthcare: A multi-society expert statement from the ACR, CAR, ESR, IS3R, RANZCR and RSNA

BACKGROUND

The value-based healthcare (VBH) concept is designed to improve individual healthcare outcomes without increasing expenditure and is increasingly being used to determine resourcing of and reimbursement for medical services. Radiology is a major contributor to patient and societal healthcare at many levels. Despite this, some VBH models do not acknowledge radiology's central role; this may have future negative consequences for resource allocation.

METHODS, FINDINGS AND INTERPRETATION

This multi-society paper, representing the views of Radiology Societies in Europe, the USA, Canada, Australia and New Zealand, describes the place of radiology in VBH models and the healthcare value contributions of radiology. Potential steps to objectify and quantify the value contributed by radiology to healthcare are outlined.

A Foundational Guide to Understanding Radiology Department Business Operations for Trainees

The financial success of a radiology department is crucial to the well-being of both the hospital and the community it serves. Radiology trainees should therefore be conscious of how the department maintains its value within the health system. The purpose of this review is to provide a concise foundational resource for contemporary radiology residents and fellows to understand the basic financial operations of a hospital-based radiology department and to demonstrate its importance in supporting clinical activities. The radiology report is at the heart of reimbursement. Coders use this tool to assign International Classification of Diseases and Current Procedural Terminology codes to file reimbursement claims. Medicare, commanding the highest market share for third-party payers, sets algorithmic standards for compensation practices. Private insurers contract with hospitals, and providers use these systems or create their own contractual framework. Radiology leaders strategically balance these revenue streams with various departmental costs utilizing tools such as budgets and forecasts to ensure long-term organizational viability. Notably, payment practices in the United States are transforming from fee-for-service to value-based care. The roles of the radiologist and the radiology report are evolving with it. Examples of value-based payment models are accountable care organizations and bundled payments. Radiologists participating in these models are increasingly expected to be stewards of imaging utilization and effectively manage health care resources. Within this context of a globally changing incentive structure, trainees must reconceptualize their educational experience to equip themselves for both current and future types of clinical practice.

Saving time in the fracture clinic: 2 weeks post-operative plain films following open reduction and internal fixation of distal radius fractures do not affect management

INTRODUCTION

Distal radius fractures represent up to one in every sixth treated fracture. The majority of these are intra-articular and require operative management. Many recent studies advocate for the use of volar plating fixation. Following fixation, most patients attend the fracture clinic at 2 and 6 weeks post-operatively and may get repeat imaging at both visits, resulting in longer wait times and repeat exposure to radiation. Revision surgery is however rarely performed in the 2- to 6-week period, raising the question of the necessity of plain film at 2 weeks.

AIM

Improve patient satisfaction in the fracture clinic by reducing wait time in fracture clinic and limiting exposure to radiation.

METHOD

The number of distal radius open reduction and internal fixation (ORIF) over a 12-month period was retrieved using theatre logbooks. Patient details were used to check whether a plain film radiograph had been performed 2 weeks post-operatively. Subsequently, patients' records were used to determine if revision surgery was performed or planned.

RESULTS

In total, 123 distal radius ORIF were performed between January 2018 and January 2019. Two-week check radiographs were performed for 82 patients (67%). One patient (0.8%) underwent revision surgery following review of intra-operative imaging. No patients underwent revision ORIF following 2-week plain film.

CONCLUSION

Repeat imaging at 2 weeks following distal radius ORIF did not change management of distal radius fractures in this study. Therefore, our data suggests 2-week plain films should not routinely be ordered for these patients which will reduce wait time and exposure to radiation.

Value Improvement by Assessing IR Care via Time-Driven Activity-Based Costing

PURPOSE

To evaluate time-driven activity-based costing (TDABC) in interventional radiology for image-guided vascular malformation treatment as an example.

MATERIALS AND METHODS

Retrospective analysis was performed on consecutive vascular malformation treatment cycles [67 venous malformations (VMs) and 11 arteriovenous malformations (AVMs)] in a university hospital in 2018. All activities were integrated with a process map, and spent resources were assigned accordingly. TDABC uses 2 parameters: (i) practical capacity cost rate, calculated as 80% of theoretical capacity, and (ii) time consumption of each resource determined by interviews (23 items). Thereby, the total costs were calculated. Treatment cycles were modified according to identified resource waste and TDABC-guided negotiations with health insurance.

RESULTS

Total personnel time required was higher for AVM (1,191 min) than for VM (637 min) treatment. The interventional procedure comprised the major part (46%) of personnel time required in AVM, whereas it comprised 19% in VM treatment. Materials represented the major cost type in AVM (75%) and VM (45%) treatments. TDABC-based treatment process modification led to a decrease in personnel time need of 16% and 30% and a cost reduction of 5.5% and 15.7% for AVM and VM treatments, respectively. TDABC-guided cost reduction and TDABC-informed negotiations improved profit from -56% to +40% and from +41% to +69% for AVM and VM treatments, respectively.

CONCLUSIONS

TDABC facilitated the precise costing of interventional radiologic treatment cycles and optimized internal processes, cost reduction, and revenues. Hence, TDABC is a promising tool to determine the denominator of interventional radiology's value.

Autonomous magnetic resonance imaging

Access to Magnetic Resonance Imaging (MRI) across developing countries ranges from being prohibitive to scarcely available. For example, eleven countries in Africa have no scanners. One critical limitation is the absence of skilled manpower required for MRI usage. Some of these challenges can be mitigated using autonomous MRI (AMRI) operation. In this work, we demonstrate AMRI to simplify MRI workflow by separating the required intelligence and user interaction from the acquisition hardware. AMRI consists of three components: user node, cloud and scanner. The user node voice interacts with the user and presents the image reconstructions at the end of the AMRI exam. The cloud generates pulse sequences and performs image reconstructions while the scanner acquires the raw data. An AMRI exam is a custom brain screen protocol comprising of one T₁-, T₂- and T₂*-weighted exams. A neural network is trained to incorporate Intelligent Slice Planning (ISP) at the start of the AMRI exam. A Look Up Table was designed to perform intelligent protocolling by optimizing for contrast value while satisfying signal to noise ratio and acquisition time constraints. Data were acquired from four healthy volunteers for three experiments with different acquisition time constraints to demonstrate standard and self-administered AMRI. The source code is available online. AMRI achieved an average SNR of 22.86 ± 0.89 dB across all experiments with similar contrast. Experiment #3 (33.66% shorter table time than experiment #1) yielded a SNR of 21.84 ± 6.36 dB compared to 23.48 ± 7.95 dB for experiment #1. AMRI can potentially enable multiple scenarios to facilitate rapid prototyping and research and streamline radiological workflow. We believe we have demonstrated the first Autonomous MRI of the brain.

Low-cost and portable MRI

Research in MRI technology has traditionally expanded diagnostic benefit by developing acquisition techniques and instrumentation to enable MRI scanners to "see more." This typically focuses on improving MRI's sensitivity and spatiotemporal resolution, or expanding its range of biological contrasts and targets. In complement to the clear benefits achieved in this direction, extending the reach of MRI by reducing its cost, siting, and operational burdens also directly benefits healthcare by increasing the number of patients with access to MRI examinations and tilting its cost-benefit equation to allow more frequent and varied use. The introduction of low-cost, and/or truly portable scanners, could also enable new point-of-care and monitoring applications not feasible for today's scanners in centralized settings. While cost and accessibility have always been considered, we have seen tremendous advances in the speed and spatial-temporal capabilities of general-purpose MRI scanners and quantum leaps in patient comfort (such as magnet length and bore diameter), but only modest success in the reduction of cost and siting constraints. The introduction of specialty scanners (eg, extremity, brain-only, or breast-only scanners) have not been commercially successful enough to tilt the balance away from the prevailing model: a general-purpose scanner in a centralized healthcare location. Portable MRI scanners equivalent to their counterparts in ultrasound or even computed tomography have not emerged and MR monitoring devices exist only in research laboratories. Nonetheless, recent advances in hardware and computational technology as well as burgeoning markets for MRI in the developing world has created a resurgence of interest in the topic of low-cost and accessible MRI. This review examines the technical forces and trade-offs that might facilitate a large step forward in the push to "jail-break" MRI from its centralized location in healthcare and allow it to reach larger patient populations and achieve new uses. Level of Evidence: 5 Technical Efficacy Stage: 6 J. Magn. Reson. Imaging 2019. J. Magn. Reson. Imaging 2020;52:686-696.

A Model to Improve the Workflow for Radiation Treatments in the Era of Bundled Payments: A Quality Improvement Project Report

The Centers for Medicare and Medicaid Services has proposed alternate payment models to improve the efficiency and decrease the redundancy of health care. Bundled payments or episode-based care is one example. Herein, we report on the successful implementation of a quality improvement project in which changing the clinical workflow for postoperative radiation treatment to the hip to prevent heterotopic ossification improved the efficiency of patient care and decreased cost by eliminating redundant imaging through multidisciplinary participation. This project is a model for interdisciplinary collaboration to improve patient care and reduce unnecessary health care spending in the era of bundled payment/episodes of care program implementation.

Abbreviated Breast MRI: Road to Clinical Implementation

Breast MRI offers high sensitivity for breast cancer detection, with preferential detection of high-grade invasive cancers when compared to mammography and ultrasound. Despite the clear benefits of breast MRI in cancer screening, its cost, patient tolerance, and low utilization remain key issues. Abbreviated breast MRI, in which only a select number of sequences and postcontrast imaging are acquired, exploits the high sensitivity of breast MRI while reducing table time and reading time to maximize availability, patient tolerance, and accessibility. Worldwide studies of varying patient populations have demonstrated that the comparable diagnostic accuracy of abbreviated breast MRI is comparable to a full diagnostic protocol, highlighting the emerging role of abbreviated MRI screening in patients with an intermediate and high lifetime risk of breast cancer. The purpose of this review is to summarize the background and current literature relating to abbreviated MRI, highlight various protocols utilized in current multicenter clinical trials, describe workflow and clinical implementation issues, and discuss the future of abbreviated protocols, including advanced MRI techniques.

Prevalence and Financial Impact of Claustrophobia, Anxiety, Patient Motion, and Other Patient Events in Magnetic Resonance Imaging

Claustrophobia, other anxiety reactions, excessive motion, and other unanticipated patient events in magnetic resonance imaging (MRI) not only delay or preclude diagnostic-quality imaging but can also negatively affect the patient experience. In addition, by impeding MRI workflow, they may affect the finances of an imaging practice. This review article offers an overview of the various types of patient-related unanticipated events that occur in MRI, along with estimates of their frequency of occurrence as documented in the available literature. In addition, the financial implications of these events are discussed from a microeconomic perspective, primarily from the point of view of a radiology practice or hospital, although associated limitations and other economic viewpoints are also included. Efforts to minimize these unanticipated patient events can potentially improve not only patient satisfaction and comfort but also an imaging practice's operational efficiency and diagnostic capabilities.