Batf3+ DCs and the 4-1BB/4-1BBL axis are required at the effector phase in the tumor microenvironment for PD-1/PD-L1 blockade efficacy.

The cellular source of positive signals that reinvigorate T cells within the tumor microenvironment (TME) for the therapeutic efficacy of programmed death-1 (PD-1)/programmed death-ligand 1 (PD-L1) blockade has not been clearly defined. We now show that Batf3-lineage dendritic cells (DCs) are essential in this process. Flow cytometric analysis, gene-targeted mice, and blocking antibody studies revealed that 4-1BBL is a major positive co-stimulatory signal provided by these DCs within the TME that translates to CD8+ T cell functional reinvigoration and tumor regression. Immunofluorescence and spatial transcriptomics on human tumor samples revealed clustering of Batf3+ DCs and CD8+ T cells, which correlates with anti-PD-1 efficacy. In addition, proximity to Batf3+ DCs within the TME is associated with CD8+ T cell transcriptional states linked to anti-PD-1 response. Our results demonstrate that Batf3+ DCs within the TME are critical for PD-1/PD-L1 blockade efficacy and indicate a major role for the 4-1BB/4-1BB ligand (4-1BBL) axis during this process.

PySupercharge: a python algorithm for enabling ABC transporter bacterial secretion of all proteins through amino acid mutation.

BACKGROUND: The process of producing proteins in bacterial systems and secreting them through ATP-binding cassette (ABC) transporters is an area that has been actively researched and used due to its high protein production capacity and efficiency. However, some proteins are unable to pass through the ABC transporter after synthesis, a phenomenon we previously determined to be caused by an excessive positive charge in certain regions of their amino acid sequence. If such an excessive charge is removed, the secretion of any protein through ABC transporters becomes possible. RESULTS: In this study, we introduce 'linear charge density' as the criteria for possibility of protein secretion through ABC transporters and confirm that this criterion can be applied to various non-secretable proteins, such as SARS-CoV-2 spike proteins, botulinum toxin light chain, and human growth factors. Additionally, we develop a new algorithm, PySupercharge, that enables the secretion of proteins containing regions with high linear charge density. It selectively converts positively charged amino acids into negatively charged or neutral amino acids after linear charge density analysis to enable protein secretion through ABC transporters. CONCLUSIONS: PySupercharge, which also minimizes functional/structural stability loss of the pre-mutation proteins through the use of sequence conservation data, is currently being operated on an accessible web server. We verified the efficacy of PySupercharge-driven protein supercharging by secreting various previously non-secretable proteins commonly used in research, and so suggest this tool for use in future research requiring effective protein production.

The natural history of celiac artery aneurysms.

OBJECTIVES: The goal of this study was to document the natural history of celiac artery aneurysms (CAAs). BACKGROUND: Celiac artery aneurysms are rare. Existing literature is skewed towards outcomes after intervention of large, symptomatic aneurysms but the behavior of untreated CAAs is poorly understood. METHODS: This is a single institution, retrospective analysis of patients with CAA diagnosed by CT imaging (2015-2019) identified through an institutional radiology database. Radiologic, demographic, and follow-up data were analyzed. The primary endpoint was the mean growth rate of CAAs. RESULTS: Of the 76 patients included, 86.8% were men with a mean age at presentation of 69.8 years. The mean CAA diameter on index imaging was 15.4 +/- 3.8 mm (range, 7-30 mm). All were classified as true aneurysms and 76.3% were saccular. All patients had clinical follow-up with mean follow-up 31.2 months +/- 21.6 months. No patient developed symptoms or rupture. The mean radiological follow-up among 45 patients was 25.2 +/- 16.8 months. Over this period, 16 CAAs (35.6%) enlarged, while 29 (64.4%) remained stable. One patient (1.3%) underwent intervention for increasing size in the setting of a chronic dissection. On multivariate analysis, age <70 was significantly associated with increased risk of aneurysm growth. CONCLUSIONS: In this institutional review of patients with CAAs, the majority of aneurysms remained stable in size, with no patients developing symptoms or rupture over clinical follow-up. Given the observed benign behavior of these aneurysms, guidelines that suggest conservative management of CAAs less than 2 cm seems appropriate.

The development of the pediatric stroke neuroimaging platform (PEDSNIP).

Childhood stroke occurs from birth to 18 years of age, ranks among the top ten childhood causes of death, and leaves lifelong neurological impairments. Arterial ischemic stroke in infancy and childhood occurs due to arterial occlusion in the brain, resulting in a focal lesion. Our understanding of mechanisms of injury and repair associated with focal injury in the developing brain remains rudimentary. Neuroimaging can reveal important insights into these mechanisms. In adult stroke population, multi-center neuroimaging studies are common and have accelerated the translation process leading to improvements in treatment and outcome. These studies are centered on the growing evidence that neuroimaging measures and other biomarkers (e.g., from blood and cerebrospinal fluid) can enhance our understanding of mechanisms of risk and injury and be used as complementary outcome markers. These factors have yet to be studied in pediatric stroke because most neuroimaging studies in this population have been conducted in single-centred, small cohorts. By pooling neuroimaging data across multiple sites, larger cohorts of patients can significantly boost study feasibility and power in elucidating mechanisms of brain injury, repair and outcomes. These aims are particularly relevant in pediatric stroke because of the decreased incidence rates and the lack of mechanism-targeted trials. Toward these aims, we developed the Pediatric Stroke Neuroimaging Platform (PEDSNIP) in 2015, funded by The Brain Canada Platform Support Grant, to focus on three identified neuroimaging priorities. These were: developing and harmonizing multisite clinical protocols, creating the infrastructure and methods to import, store and organize the large clinical neuroimaging dataset from multiple sites through the International Pediatric Stroke Study (IPSS), and enabling central searchability. To do this, developed a two-pronged approach that included building 1) A Clinical-MRI Data Repository (standard of care imaging) linked to clinical data and longitudinal outcomes and 2) A Research-MRI neuroimaging data set acquired through our extensive collaborative, multi-center, multidisciplinary network. This dataset was collected prospectively in eight North American centers to test the feasibility and implementation of harmonized advanced Research-MRI, with the addition of clinical information, genetic and proteomic studies, in a cohort of children presenting with acute ischemic stroke. Here we describe the process that enabled the development of PEDSNIP built to provide the infrastructure to support neuroimaging research priorities in pediatric stroke. Having built this Platform, we are now able to utilize the largest neuroimaging and clinical data pool on pediatric stroke data worldwide to conduct hypothesis-driven research. We are actively working on a bioinformatics approach to develop predictive models of risk, injury and repair and accelerate breakthrough discoveries leading to mechanism-targeted treatments that improve outcomes and minimize the burden following childhood stroke. This unique transformational resource for scientists and researchers has the potential to result in a paradigm shift in the management, outcomes and quality of life in children with stroke and their families, with far-reaching benefits for other brain conditions of people across the lifespan.

Natural history of renal artery aneurysms.

OBJECTIVE: The existing renal artery aneurysm (RAA) literature is largely composed of reports of patients who underwent intervention. The objective of this study was to review the natural history of RAA. METHODS: This single-institution retrospective analysis studied all patients with RAA diagnosed by computed tomography imaging between 2015 and 2019, identified by our institutional radiology database. Imaging, demographic, and clinical data were obtained via the electronic medical record. He growth rate was calculated for all patients with radiological follow-up. RESULTS: The cohort consists of 331 patients with 338 RAAs. Most patients were female (61.3%), with 11 (3.3%) of childbearing age. The mean age at diagnosis was 71.5 years (range, 24-99 years). Medical comorbidities included hypertension (73.7%), prior smoking (34.4%), and connective tissue disease (3.9%). Imaging indications included abdominal pain (33.5%), unrelated follow-up (29.6%), and follow-up of an RAA initially diagnosed before the study period (10.7%). Right RAA (61.9%) was more common than left (35.1%); 3% of patients had bilateral RAA. The mean diameter at diagnosis was 12.9 ± 5.9 mm. Size distribution included lesions measuring less than <15 mm (69.9%), 15 to 25 mm (27.1%), and more than 25 mm (3.0%). Anatomic locations included the distal RA (26.7%), renal hilum (42.4%), and mid-RA (13.1%). The majority were true aneurysms (98%); of these, 72.3% were fusiform and 27.7% were saccular. Additional characteristics included calcification (82.2%), thrombus (15.9%), and dissection (0.9%). Associated findings included aortic atherosclerosis (65.6%), additional visceral aneurysms (7.3%), and abdominal aortic aneurysm (5.7%). The mean clinical follow-up among 281 patients was 41.0 ± 24.0 months. The mean radiological follow-up among 137 patients was 26.0 ± 21.4 months. Of these, 43 patients (31.4%) experienced growth, with mean growth rate of 0.23 ± 4.7 mm/year; the remainder remained stable in size. Eight patients eventually underwent intervention (5 endovascular), with the most common indications including size criteria (4/8) and symptom development (3/8). No patient developed rupture. On multivariate analysis, obesity (P = .04) was significantly associated with growth. An initial diameter of more than 25 mm was significantly associated with subsequent intervention (P = .006), but was not significantly associated with growth. Four of five RAAs with an initial diameter 30 mm or greater did not undergo intervention. The mean clinical follow-up for these patients was 24 months; none developed rupture and two remained stable in size. CONCLUSIONS: This large institutional cohort found that the majority of RAAs remained stable in size, with few patients meeting indications for repair based on societal guidelines. Current guidelines recommending intervention for asymptomatic aneurysms more than 30 mm seem to be appropriate given their slow progression.

Comparison of CPU and GPU bayesian estimates of fibre orientations from diffusion MRI.

BACKGROUND: The correct estimation of fibre orientations is a crucial step for reconstructing human brain tracts. Bayesian Estimation of Diffusion Parameters Obtained using Sampling Techniques (bedpostx) is able to estimate several fibre orientations and their diffusion parameters per voxel using Markov Chain Monte Carlo (MCMC) in a whole brain diffusion MRI data, and it is capable of running on GPUs, achieving speed-up of over 100 times compared to CPUs. However, few studies have looked at whether the results from the CPU and GPU algorithms differ. In this study, we compared CPU and GPU bedpostx outputs by running multiple trials of both algorithms on the same whole brain diffusion data and compared each distribution of output using Kolmogorov-Smirnov tests. RESULTS: We show that distributions of fibre fraction parameters and principal diffusion direction angles from bedpostx and bedpostx_gpu display few statistically significant differences in shape and are localized sparsely throughout the whole brain. Average output differences are small in magnitude compared to underlying uncertainty. CONCLUSIONS: Despite small amount of differences in output between CPU and GPU bedpostx algorithms, results are comparable given the difference in operation order and library usage between CPU and GPU bedpostx.

White matter but not grey matter predicts change in reading skills after intervention.

This study examined changes in white matter microstructure and grey matter volume, cortical thickness, and cortical surface area before and after reading intervention. Participants included 22 average readers and 13 dyslexic readers (8-9 years old in third grade); the dyslexic readers were enrolled in reading intervention programs at their elementary school. Participants completed scans of diffusion tensor imaging and T1-weighted MRI before and after 3 months of instruction. An a priori region of interest (ROI) analysis was used. Dyslexic readers, compared to average readers, showed higher mean diffusivity in white matter ROIs including bilateral inferior frontal, bilateral insula, left superior temporal, and right supramarginal gyri across time points. Dyslexic readers also had thicker cortex in left fusiform and bilateral supramarginal gyri; whereas, average readers had greater surface area in right fusiform across time. There were no significant changes in white or grey matter following intervention; however, mean diffusivity in the right hemisphere was associated with reading gains over time. White matter organization in the right hemisphere predicts reading changes, and dyslexic readers may have persistent differences in white and grey matter due to ongoing reading deficits.

Hypercoagulability in Patients With Coronavirus Disease (COVID-19): Identification of Arterial and Venous Thromboembolism in the Abdomen, Pelvis, and Lower Extremities.

The purpose of this article is to describe arterial and venous thromboembolism in the abdomen, pelvis, and lower extremities in patients with coronavirus disease (COVID-19). Eighty-two patients with COVID-19 who underwent abdominal ultrasound or CT were retrospectively compared with 82 patients without COVID-19 for thromboembolism and solid-organ infarction. Nine (11%) patients with COVID-19 had thromboembolic findings, with medium to large arterial thrombi in five. One patient without COVID-19 had known portal vein thrombus on CT. Thromboembolic findings occurred more frequently in patients with than without COVID-19 (p = 0.02).

Unexpected Findings of Coronavirus Disease (COVID-19) at the Lung Bases on Abdominopelvic CT.

OBJECTIVE. The purpose of this study is to report unanticipated lung base findings on abdominal CT in 23 patients concerning for coronavirus disease (COVID-19). In these patients, who were not previously suspected of having COVID-19, abdominal pain was the most common indication for CT (n = 19), and 11 patients had no extrapulmonary findings. Seventeen patients underwent polymerase chain reaction testing, which returned positive results for all 17. CONCLUSION. Unsuspected coronavirus disease may be strongly suggested on the basis of lung findings on abdominopelvic CT.

Natural History, Clinical Significance, and the Role of Vascular Referral in the Management of Penetrating Ulcers of the Abdominal Aorta.

BACKGROUND: Penetrating ulcers of the abdominal aorta (PUAA) are an increasingly common finding on abdominal imaging studies; however, their significance and natural history are not well described. This study's objective was to analyze the demographics, presentation, and outcomes of patients with a radiographic diagnosis of PUAA. MATERIALS AND METHODS: Patients at our tertiary referral center were identified for inclusion based on a search for the term "penetrating ulcer" in abdominal computed tomography and magnetic resonance imaging reports between January 2014 and December 2017. Patients' electronic medical records were retrospectively reviewed to determine baseline medical characteristics, imaging indication, and subsequent clinical course, interventions, and outcomes. Aortic diameters and ulcer depths were measured by a single observer on initial and follow-up imaging to assess for association with concomitant aortic pathology, evolving aortic disease, and ulcer progression, defined as increase in depth of ≥ 1 mm. Statistical analysis was performed using STATA 16 (College Station, TX: StataCorp LLC), and a threshold P-value of <0.05 was set for significance. RESULTS: Ninety-two patients with PUAA were identified; 57 (62%) were male. The mean age at diagnosis was 79.3 years, and comorbidities included hypertension (74%), hyperlipidemia (65%), and malignancy (34%). The most common indication for imaging was chest, back, or abdominal pain (19%). On initial imaging, the mean ulcer depth was 1 cm (range from 0.2 cm to 3.4 cm). Concomitant abdominal aortic dilation ≥ 3 cm was found in 34 (37%) patients. Thirty-six (39%) patients had a vascular surgery consultation immediately after radiographic diagnosis. Follow-up axial imaging was performed on 27 (29%) untreated patients. The overall sample's mean ulcer depth remained essentially unchanged from initial measurement (P = 0.99); however, 14 (52%) patients with follow-up imaging were found to have increased overall aortic diameter. Of the total 92 patients, 9 (10%) underwent an endovascular abdominal aortic intervention during the review period: 2 for symptomatic PUAA and the remainder for progression of concomitant aneurysmal disease. All-cause mortality was 5% during the mean follow-up period of 21.9 months (range 0 to 72.5 months). Of the patients lost to follow-up, 61% did not receive vascular referral after initial diagnosis. CONCLUSIONS: PUAA are typically incidental findings identified in elderly, comorbid patients undergoing imaging for an unrelated indication. Although isolated findings of asymptomatic PUAA rarely require surgical intervention, these patients we argue would benefit from vascular surgery referral for long-term follow-up and interval imaging to assess for disease progression and concomitant aortic degeneration, which may necessitate repair. In addition, we observed that most of those patients lost to follow-up did not receive vascular consultation, suggesting that lack of involvement of vascular specialists at the time of diagnosis is a missed opportunity to secure appropriate follow-up and management.

Process Improvement for Communication and Follow-up of Incidental Lung Nodules.

OBJECTIVE: Guideline-concordant follow-up of incidental lung nodules (ILNs) is suboptimal. We aimed to improve communication and tracking for follow-up of these common incidental findings detected on imaging examinations. METHODS: We implemented a process improvement program for reporting and tracking ILNs at a large urban academic health care system. A multidisciplinary committee designed, tested, and implemented a multipart tracking system in the electronic health record (EHR) that included Fleischner Society management recommendations for each patient. Plan-do-study-act cycles addressed gaps in the follow-up of ILNs, broken into phases of developing and testing components of the conceived EHR toolkit. RESULTS: The program resulted in standardized text macros with discrete categories and recommendations for ILNs, with ability to track each case in a work list within the EHR. The macros incorporated evidence-based guidelines and also input of collaborating clinical referrers in the respective specialty. The ILN macro was used 3,964 times over the first 2 years, increasing from 104 to over 300 uses per month. Usage spread across all subspecialty divisions, with nonthoracic radiologists currently accounting for 80% (56 of 70) of the radiologists using the system and 31% (1,230 of 3,964) of all captured ILNs. When radiologists indicated ILNs as warranting telephone communication to provider offices, completion was documented in 100% of the cases captured in the EHR-embedded tracking report. CONCLUSION: An EHR-based system for managing incidental nodules enables case tracking with exact recommendations, provider communication, and completion of follow-up testing. Future efforts will target consistent radiologist use of the system and follow-up completion.

Computational cytometer based on magnetically modulated coherent imaging and deep learning.

Detecting rare cells within blood has numerous applications in disease diagnostics. Existing rare cell detection techniques are typically hindered by their high cost and low throughput. Here, we present a computational cytometer based on magnetically modulated lensless speckle imaging, which introduces oscillatory motion to the magnetic-bead-conjugated rare cells of interest through a periodic magnetic force and uses lensless time-resolved holographic speckle imaging to rapidly detect the target cells in three dimensions (3D). In addition to using cell-specific antibodies to magnetically label target cells, detection specificity is further enhanced through a deep-learning-based classifier that is based on a densely connected pseudo-3D convolutional neural network (P3D CNN), which automatically detects rare cells of interest based on their spatio-temporal features under a controlled magnetic force. To demonstrate the performance of this technique, we built a high-throughput, compact and cost-effective prototype for detecting MCF7 cancer cells spiked in whole blood samples. Through serial dilution experiments, we quantified the limit of detection (LoD) as 10 cells per millilitre of whole blood, which could be further improved through multiplexing parallel imaging channels within the same instrument. This compact, cost-effective and high-throughput computational cytometer can potentially be used for rare cell detection and quantification in bodily fluids for a variety of biomedical applications.

Natural Language Processing for Identification of Incidental Pulmonary Nodules in Radiology Reports.

PURPOSE: To develop natural language processing (NLP) to identify incidental lung nodules (ILNs) in radiology reports for assessment of management recommendations. METHODS AND MATERIALS: We searched the electronic health records for patients who underwent chest CT during 2014 and 2017, before and after implementation of a department-wide dictation macro of the Fleischner Society recommendations. We randomly selected 950 unstructured chest CT reports and reviewed manually for ILNs. An NLP tool was trained and validated against the manually reviewed set, for the task of automated detection of ILNs with exclusion of previously known or definitively benign nodules. For ILNs found in the training and validation sets, we assessed whether reported management recommendations agreed with Fleischner Society guidelines. The guideline concordance of management recommendations was compared between 2014 and 2017. RESULTS: The NLP tool identified ILNs with sensitivity and specificity of 91.1% and 82.2%, respectively, in the validation set. Positive and negative predictive values were 59.7% and 97.0%. In reports of ILNs in the training and validation sets before versus after introduction of a Fleischner reporting macro, there was no difference in the proportion of reports with ILNs (108 of 500 [21.6%] versus 101 of 450 [22.4%]; P = .8), or in the proportion of reports with ILNs containing follow-up recommendations (75 of 108 [69.4%] versus 80 of 101 [79.2%]; P = .2]. Rates of recommendation guideline concordance were not significantly different before and after implementation of the standardized macro (52 of 75 [69.3%] versus 60 of 80 [75.0%]; P = .43). CONCLUSION: NLP reliably automates identification of ILNs in unstructured reports, pertinent to quality improvement efforts for ILN management.

Utility of an Automated Radiology-Pathology Feedback Tool.

PURPOSE: To determine the utility of an automated radiology-pathology feedback tool. METHODS: We previously developed a tool that automatically provides radiologists with pathology results related to imaging examinations they interpreted. The tool also allows radiologists to mark the results as concordant or discordant. Five abdominal radiologists prospectively scored their own discordant results related to their previously interpreted abdominal ultrasound, CT, and MR interpretations between August 2017 and June 2018. Radiologists recorded whether they would have followed up on the case if there was no automated alert, reason for the discordance, whether the result required further action, prompted imaging rereview, influenced future interpretations, enhanced teaching files, or inspired a research idea. RESULTS: There were 234 total discordances (range 30-66 per radiologist), and 70.5% (165 of 234) of discordances would not have been manually followed up in the absence of the automated tool. Reasons for discordances included missed findings (10.7%; 25 of 234), misinterpreted findings (29.1%; 68 of 234), possible biopsy sampling error (13.3%; 31 of 234), and limitations of imaging techniques (32.1%; 75/234). In addition, 4.7% (11 of 234) required further radiologist action, including report addenda or discussion with referrer or pathologist, and 93.2% (218 of 234) prompted radiologists to rereview the images. Radiologists reported that they learned from 88% (206 of 234) of discordances, 38.6% (90 of 233) of discordances probably or definitely influenced future interpretations, 55.6% (130 of 234) of discordances prompted the radiologist to add the case to his or her teaching files, and 13.7% (32 of 233) inspired a research idea. CONCLUSION: Automated pathology feedback provides a valuable opportunity for radiologists across experience levels to learn, increase their skill, and improve patient care.

Downstream Costs Associated with Incidental Pulmonary Nodules Detected on CT.

RATIONALE AND OBJECTIVES: To explore downstream costs associated with incidental pulmonary nodules detected on CT. MATERIALS AND METHODS: The cohort comprised 200 patients with an incidental pulmonary nodule on chest CT. Downstream events (chest CT, PET/CT, office visits, percutaneous biopsy, and wedge resection) were identified from the electronic medical record. The 2017 Fleischner Society Guidelines were used to classify radiologists' recommendations and ordering physician management for the nodules. Downstream costs for nodule management were estimated from national Medicare rates, and average costs were determined. RESULTS: Average downstream cost per nodule was $393. Costs were greater when ordering physicians over-managed relative to radiologist recommendations ($940) vs. when adherent ($637) or under-managing ($166) relative to radiologists recommendations. Costs were also greater when ordering physicians over-managed relative to Fleischner Society guidelines ($860) vs. when under-managing ($208) or adherent ($292) to guidelines. Costs did not vary significantly based on whether or not radiologists recommended follow-up imaging ($167-$397), nor whether radiologists were adherent or under- or over-recommended relative to Fleischner Society guidelines ($313-$444). Costs were also higher in older patients, patients with a smoking history, and larger nodules. Five nodules underwent wedge resection and diagnosed as malignancies. No patient demonstrated recurrence or metastasis. Average cost per diagnosed malignancy was $3090. CONCLUSION: Downstream costs for incidental pulmonary nodules are highly variable and particularly high when ordering physicians over-manage relative to radiologist recommendations and Fleischner Society guidelines. To reduce unnecessary utilization and cost from over-management, radiologists may need to assume a greater role in partnering with ordering physicians to ensure appropriate, guideline-adherent, and follow-up testing.

Informatics Solutions for Driving an Effective and Efficient Radiology Practice.

Radiologists are facing increasing workplace pressures that can lead to decreased job satisfaction and burnout. The increasing complexity and volumes of cases and increasing numbers of noninterpretive tasks, compounded by decreasing reimbursements and visibility in this digital age, have created a critical need to develop innovations that optimize workflow, increase radiologist engagement, and enhance patient care. During their workday, radiologists often must navigate through multiple software programs, including picture archiving and communication systems, electronic health records, and dictation software. Furthermore, additional noninterpretive duties can interrupt image review. Fragmented data and frequent task switching can create frustration and potentially affect patient care. Despite the current successful technological advancements across industries, radiology software systems often remain nonintegrated and not leveraged to their full potential. Each step of the imaging process can be enhanced with use of information technology (IT). Successful implementation of IT innovations requires a collaborative team of radiologists, IT professionals, and software programmers to develop customized solutions. This article includes a discussion of how IT tools are used to improve many steps of the imaging process, including examination protocoling, image interpretation, reporting, communication, and radiologist feedback. ©RSNA, 2018.

Downstream Costs Associated With Incidental Pancreatic Cysts Detected at MRI.

OBJECTIVE: The purpose of this study is to assess downstream costs associated with pancreatic cysts incidentally detected at MRI. MATERIALS AND METHODS: Two hundred patients with an incidental pancreatic cyst detected at MRI were identified. Downstream events (imaging, office visits, endoscopic ultrasound-guided fine-needle aspiration, or chemotherapy) were identified from the electronic medical record. Radiologists' recommendations and ordering physician management were classified relative to the American College of Radiology (ACR) incidental findings committee recommendations. Costs for the downstream events were estimated using national Medicare rates and a 3% annual discount rate. Mean costs were computed. RESULTS: Estimated downstream costs averaged $460 per cyst ($872 per cyst with any follow-up testing). Nine patients had a clinically relevant outcome during follow-up (increase in cyst size, development of new cyst, or development of pancreatic cancer). Downstream cost per cyst with a clinically relevant outcome was $1364. Costs were greater when ordering physicians overmanaged ($842) versus when they were adherent ($631) or undermanaged ($252) relative to radiologist recommendation. Although costs were $252 when ordering physicians undermanaged relative to ACR incidental findings committee recommendations, costs were similar when ordering physicians were adherent ($811) or overmanaged ($845) relative to ACR incidental findings committee recommendations. Costs did not vary significantly according to whether radiologists recommended follow-up testing ($317-$491) or whether radiologist recommendations were adherent, undermanaged, or overmanaged relative to ACR incidental findings committee recommendations ($344-$528). CONCLUSION: The findings suggest a role for targeted educational efforts, collaborative partnerships, and other initiatives to foster greater adherence to radiologist recommendations, including critical test results notification systems, automated reminders within electronic health systems, and stronger language within radiology reports when no follow-up testing is recommended.

Science to Practice: IT Solutions to Drive Standardized Report Recommendations for Abdominal Aortic Aneurysm Surveillance.

Inadequate imaging surveillance has been identified as the most significant contributor to abdominal aortic aneurysm (AAA) rupture. Radiologists can contribute value to patient care and reduce morbidity and mortality related to AAA by incorporating evidence-based management recommendations from the ACR and Society of Vascular Surgery into their report impression. The challenges lie in achieving 100% radiologist compliance to incorporate the recommendations and ensuring that the patient is notified by their provider, the follow-up examination is scheduled, and the patient returns for an imaging test that may be scheduled 3 to 5 years in the future. To address these barriers, radiology quality and informatics leads have harnessed IT solutions to facilitate integration of content, communication of results, and patient follow-up.

Variation in Downstream Relative Costs Associated With Incidental Ovarian Cysts on Ultrasound.

PURPOSE: To explore variation in downstream relative costs associated with ovarian cysts incidentally detected on ultrasound. METHODS: For 200 consecutive incidental ovarian cysts on ultrasound, ultrasound reports were classified in terms of presence of a radiologist recommendation for additional imaging. All downstream events (imaging, office visits, and surgery) associated with the cysts were identified from the electronic health record. Medical costs associated with these downstream events were estimated using national Medicare rates. Average cost per cyst was stratified by various factors; cost ratios were computed among subgroups. RESULTS: Average costs per cyst were 1.9 times greater in postmenopausal than premenopausal women. Relative to when follow-up imaging was neither recommended nor obtained, costs were 1.1 times greater when follow-up imaging was recommended but not obtained, 5.1 times greater when follow-up imaging was both recommended and obtained, and 8.1 times greater when follow-up imaging was obtained despite not being recommended. Costs were 2.5 times greater when the radiologist underrecommended follow-up compared with Society of Radiologists in Ultrasound (SRU) guidelines for management of ovarian cysts, 3.0 times greater when the ordering physician overmanaged compared with the radiologist's recommendation, as well as 1.7 times and 3.8 times greater when the ordering physician undermanaged and overmanaged compared with SRU guidelines, respectively. Four ovarian neoplasms, although no ovarian malignancy, were diagnosed in the cohort. CONCLUSION: Follow-up costs for incidental ovarian cysts are highly variable based on a range of factors. Radiologist recommendations may contribute to lower costs among patients receiving follow-up imaging. Such recommendations should reflect best practices and support the follow-up that will be of likely greatest value for patient care.