Patients' requests for radiological imaging: A qualitative study on general practitioners' perspectives.

BACKGROUND: With the increasing availability of information, patients are becoming more informed about radiology procedures and requesting imaging studies. This qualitative study aims to explore factors that influence general practitioners' (GPs) decisions to fulfil patient requests for imaging studies during clinical consultation. METHODS: Semi-structured interviews were conducted with 10 GPs working across five private medical centres in Northwest Sydney. Conventional content analysis was used with emergent themes to identify GPs perspectives. RESULTS: Six themes stood out from the interviews with GPs fulfilling patient requests for imaging studies. They included four pertaining to patient factors: patient expectations, 'therapeutic scans', 'impressive labels' and entitled. Two further themes pertained to the GP perspective and included defensive medicine, and 'new patients'. Requests are fulfilled from anxious or health-obsessed patients, with GPs worrying about litigation if they refuse. However, GPs decline requests from patients with entitlement attitudes or during first visits. DISCUSSION: The findings suggest that GPs struggle to balance their responsibilities as gatekeepers of imaging with patients' expectations of request fulfilment. Clear guidelines on the appropriate use of diagnostic imaging and its limitations could help patients understand its proper use and ease anxiety. Additionally, education and training for GPs could help them manage patient expectations and provide appropriate care. PATIENT CONTRIBUTIONS: Patients, service users, caregivers, people with lived experiences or members of the public were not directly involved in the design, conduct, analysis or interpretation of the study. However, our study was conducted in primary care facilities where the GPs were interviewed about patients' requests for diagnostic imaging based on their own initiatives. GPs' perspectives in managing patient expectations and healthcare utilisation were explored within the Australian Medicare system, where medical imaging and image-guided procedures come at little to no cost to the individual. The study findings contribute to a better understanding of the challenges faced by GPs in dealing with patient consumerism and requests for diagnostic imaging, as well as factors influencing request fulfilment or denial. Insights gained from this study may inform future research about delivering patient-centred care within a similar context.

Peering Into the Future: A First Look at the CBME Transition to Practice Stage in Diagnostic Radiology.

RATIONALE AND OBJECTIVES: Queen's University (Kingston, ON, Canada) adopted a competency-based medical education (CBME) curriculum for Diagnostic Radiology residency training in an accelerated manner in 2017, with the curriculum comprised of four stages of training. This article focuses on the final stage (Transition to Practice), during which assessment methods of the new national curriculum (implemented in July 2022) were piloted. This study aims to highlight the challenges and opportunities associated with the implementation of CBME in Diagnostic Radiology training and specific considerations for programs undergoing this curricular transition. MATERIALS AND METHODS: Ethics approval was provided by the affiliated hospital Research Ethics Board. All relevant electronic assessments pertaining to all trainees who had completed the Transition to Practice stage (n = 3) were collated, deidentified, analyzed, and presented in tabulated format. RESULTS: A total of 39 evaluations completed by 13 assessors were assessed, with an average time of 3 minutes and 6 seconds to complete an assessment form. Also, 95% of evaluations were rated as entrustments. However, no residents met the minimum number of required entrustments for all five stage-specific Entrustable Professional Activities. These 39 evaluations included 219 milestone rating scores, with 86% rated as "achieved." Following review by the residency program Competence Committee, all three residents were promoted from the Transition to Practice stage. CONCLUSION: Challenges in CBME implementation include the number and quality of resident assessments. Strategies for success may include providing clear guidelines and training for both faculty and residents, early identification and intervention, and adopting a holistic evaluation strategy. CBME has the potential to enhance medical education quality by emphasizing learner progress toward competency and providing personalized feedback and support.

Ultrasound-guided hydrostatic reduction of intussusception: comparison of success rates between subspecialized pediatric radiologists and non-pediatric radiologists or radiology residents.

Ileocolic intussusception is the most common cause of intestinal obstruction in children under two years of age. Treatment in most cases is radiologically guided reduction. In Slovenia, ultrasound (US)-guided hydrostatic reduction is currently the standard of care. The purpose of this study was to compare the success rate of US-guided hydrostatic reduction when performed by subspecialty-trained pediatric radiologists, non-pediatric radiologists, or radiology residents. We retrospectively analyzed medical records of patients with ileocolic intussusception who underwent US-guided hydrostatic intussusception reduction at University Medical Centre Ljubljana between January 2012 and December 2022 (n = 101). During regular daily working hours, the reduction was performed by pediatric radiologists. After hours (evenings and overnight), pediatric radiologists, non-pediatric radiologists, or radiology residents performed the reduction procedure. Patients were divided into three groups based on the operator performing the procedure. Data was analyzed using the chi-square test. Pediatric radiologists had thirty-seven (75.5%) successful first attempts, non-pediatric radiologists had nineteen (76.0%), and radiology residents had twenty (74.1%). There was no statistically significant difference in the success rate of ileocolic intussusception reduction depending on the operator who performed the procedure (p = 0.98). No perforation was observed in either group during the reduction attempts.  Conclusion: Our results demonstrate that US-guided hydrostatic reduction is a reliable and safe procedure that achieves good results even in the hands of less experienced, however appropriately trained, radiologists. The results should encourage more medical centers to consider the implementation of US-guided hydrostatic reduction of ileocolic intussusception. What is Known: • US-guided hydrostatic reduction is a well-established method of treatment for ileocolic intussusception in children. • The results regarding the influence of operator's experience with the procedure on its success rate are scarce and contradictory. What is New: • US-guided hydrostatic intussusception reduction is a reliable and safe technique that achieves similar success rates when performed by experienced subspecialized pediatric radiologists or less experienced but trained operators such as non-pediatric radiologists and radiology residents. • The implementation of US-guided hydrostatic reduction in general hospitals without subspecialized pediatric radiologists could improve patient care by increasing access to radiologically guided reduction and simultaneously decreasing the time to reduction attempts.

Multimodal fusion models for pulmonary embolism mortality prediction.

Pulmonary embolism (PE) is a common, life threatening cardiovascular emergency. Risk stratification is one of the core principles of acute PE management and determines the choice of diagnostic and therapeutic strategies. In routine clinical practice, clinicians rely on the patient's electronic health record (EHR) to provide a context for their medical imaging interpretation. Most deep learning models for radiology applications only consider pixel-value information without the clinical context. Only a few integrate both clinical and imaging data. In this work, we develop and compare multimodal fusion models that can utilize multimodal data by combining both volumetric pixel data and clinical patient data for automatic risk stratification of PE. Our best performing model is an intermediate fusion model that incorporates both bilinear attention and TabNet, and can be trained in an end-to-end manner. The results show that multimodality boosts performance by up to 14% with an area under the curve (AUC) of 0.96 for assessing PE severity, with a sensitivity of 90% and specificity of 94%, thus pointing to the value of using multimodal data to automatically assess PE severity.

Verification of the sampling procedure for radioactivity analysis of waste and industrial material.

In accordance with ISO/IEC 17025:2017, the testing laboratory needs to verify its ability to properly perform methods. For radiological testing, the sampling does not affect the results directly, but it has to ensure that sample adequately represents the tested material. To verify the procedure, a sampling of red mud and bauxite ore was conducted. All samples were measured in identical geometry by HPGe spectrometer. The counting rates per unit mass in the recorded spectra were compared. For each measurement series, the mean and standard deviations of respected peaks were calculated, as well as average and standard deviation of all series. The obtained results of each individual series were considered satisfactory, i.e. sampling procedure ensures the representativeness of the bulk material, if it is within ± two standard deviations of the average of the mean values.

An Upstream Reparative Justice Framework for Improving Diversity in Radiology.

Health care workforce diversity is vital in combating health disparities. Despite much recent attention to downstream strategies to improve diversity in radiology, such as increased recruitment efforts and holistic application review, workforce diversity has not tangibly improved in recent decades. Yet, little discussion has been devoted to defining the obstacles that might delay, complicate, or altogether prevent persons from groups that have been traditionally marginalized and minoritized from a career in radiology. Refocusing attention to upstream barriers to medical education is vital to develop sustainable workforce diversity efforts in radiology. The purpose of this article is to highlight the varied obstacles students and trainees from historically underrepresented communities may face along the radiology career pathway and to provide concrete corollary programmatic solutions. Using a reparative justice framework, which encourages race- and gender-conscious repair of historical injustices, and the socioecological model, which recognizes an individual's choices are informed by historical and ongoing systems of power, this article advocates for tailored programs to improve justice, equity, diversity, and inclusion in radiology.

Congenital segmental dilatation of the colon in a newborn: a radiologic perspective of an unusual entity.

A newborn with congenital segmental dilatation of the intestine affecting the colon is presented. This rare condition, unrelated to Hirschsprung's disease, may affect any portion of the bowel and is characterized by focal dilatation of a segment of bowel flanked by normal proximal and distal bowel. While reported in the surgical literature, congenital segmental dilatation of the intestine has not been reported in the pediatric radiology literature even though pediatric radiologists may be the first to encounter imaging suggesting the diagnosis. We therefore present the characteristic imaging findings, including abdominal radiographs and images from a contrast enema, and discuss the clinical presentation, pathology findings, associations, treatment, and prognosis of congenital segmental dilatation of the intestine to increase awareness of this unusual diagnosis.

Imaging of Anal Squamous Cell Carcinoma: Survey Results and Expert Opinion from the Rectal and Anal Cancer Disease-Focused Panel of the Society of Abdominal Radiology.

The role and method of image-based staging of anal cancer has evolved with the rapid development of newer imaging modalities and the need to address the rising incidence of this rare cancer. In 2014, the European Society of Medical Oncology mandated pelvic magnetic resonance imaging (MRI) for anal cancer and subsequently other societies such as the National Comprehensive Cancer Network followed suit with similar recommendations. Nevertheless, great variability exists from center to center and even within individual centers. Notably, this is in stark contrast to the imaging of the anatomically nearby rectal cancer. As participating team members for this malignancy, we embarked on a comprehensive literature review of anal cancer imaging to understand the relative merits of these new technologies which developed after computed tomography (CT), e.g., MRI and positron emission tomography/computed tomography (PET/CT). The results of this literature review helped to inform our next stage: questionnaire development regarding the imaging of anal cancer. Next, we distributed the questionnaire to members of the Society of Abdominal Radiology (SAR) Rectal and Anal Disease-Focused Panel, a group of abdominal radiologists with special interest, experience, and expertise in rectal and anal cancer, to provide expert radiologist opinion on the appropriate anal cancer imaging strategy. In our expert opinion survey, experts advocated the use of MRI in general (65% overall and 91-100% for primary staging clinical scenarios) and acknowledged the superiority of PET/CT for nodal assessment (52-56% agreement for using PET/CT in primary staging clinical scenarios compared to 30% for using MRI). We therefore support the use of MRI and PET and suggest further exploration of PET/MRI as an optimal combined evaluation. Our questionnaire responses emphasized the heterogeneity in imaging practice as performed at numerous academic cancer centers across the United States and underscore the need for further reconciliation and establishment of best imaging practice guidelines for optimized patient care in anal cancer.

Automatic Classification of Tumor Response From Radiology Reports With Rule-Based Natural Language Processing Integrated Into the Clinical Oncology Workflow.

PURPOSE: Imaging reports in oncology provide critical information about the disease evolution that should be timely shared to tailor the clinical decision making and care coordination of patients with advanced cancer. However, tumor response stays unstructured in free-text and underexploited. Natural language processing (NLP) methods can help provide this critical information into the electronic health records (EHR) in real time to assist health care workers. METHODS: A rule-based algorithm was developed using SAS tools to automatically extract and categorize tumor response within progression or no progression categories. 2,970 magnetic resonance imaging, computed tomography scan, and positron emission tomography French reports were extracted from the EHR of a large comprehensive cancer center to build a 2,637-document training set and a 603-document validation set. The model was also tested on 189 imaging reports from 46 different radiology centers. A tumor dashboard was created in the EHR using the Timeline tool of the vis.js javascript library. RESULTS: An NLP methodology was applied to create an ontology of radiographic terms defining tumor response, mapping text to five main concepts, and application decision rules on the basis of clinical practice RECIST guidelines. The model achieved an overall accuracy of 0.88 (ranging from 0.87 to 0.94), with similar performance on both progression and no progression classification. The overall accuracy was 0.82 on reports from different radiology centers. Data were visualized and organized in a dynamic tumor response timeline. This tool was deployed successfully at our institution both retrospectively and prospectively as part of an automatic pipeline to screen reports and classify tumor response in real time for all metastatic patients. CONCLUSION: Our approach provides an NLP-based framework to structure and classify tumor response from the EHR and integrate tumor response classification into the clinical oncology workflow.

Inclusion of cross-sectional and radiological images for better understanding of musculoskeletal anatomy and decreasing the risk of adverse events during dry needling in undergraduate physiotherapy students.

Since there is an increasing rate of physiotherapists using invasive procedures during the clinical practice, understanding the cross-sectional anatomy and radiological images is essential for ensuring patients' safety during these interventions. Therefore, the aim of this study was to analyze the students' opinion of including cross-sectional and radiological images to traditional methodologies, to evaluate whether these additional resources improve their ability to identify musculoskeletal structures in radiological images and their understanding of neurovascular and visceral structures related with specific muscles to be avoided during invasive procedures. First-year undergraduate physiotherapy students were enrolled in the study. A brief online survey asking about their opinion about the use of cross-sectional and radiological images as complementary resources was built. In addition, two open-answer tests (before and after the inclusion of these resources) were conducted to evaluate their ability to identify correctly musculoskeletal structures in magnetic resonance and ultrasound images and to evaluate their awareness of high-risk structures related with specific muscles. One-hundred-thirty-two students returned the online survey and one-hundred-forty-eight completed all the tests. In general, students opined cross-sectional images to be of utility for learning anatomy (81.8%) and radiological images (93.9%) and felt they benefited from cross-sectional and ultrasound images (78.0%). All tests showed significant improvements after the inclusion of these complementary resources (all, p < 0.001) except for trunk structures in MRI (p = 0.777). The implementation of anatomical cross-sectional and radiological images resulted in better understanding of radiological images and better cognition of possible risk during invasive procedures.

Vittorio Maragliano (1878 -1944) in the history of European medicine: Grand master and pioneer of Italian radiology.

Vittorio Maragliano was born in Genoa in 1878. Fascinated since childhood by all things electric, he succeeded in installing the first radiological apparatus in 1896, only one year after the discovery of "Röntgen rays", and immediately began to make his first radioscopy observations. Having graduated from the University of Genoa in 1901 with a thesis on high-frequency currents, he continued assiduously to frequent the Department of Electrotherapy of the Medical Clinic, where he immediately became an assistant. A teacher of special medical pathology and physical therapy in 1910, Maragliano became tenured professor of electrotherapy and radiology in 1913, occupying one of the first three chairs in the history of Italian radiology, and later directed the Institute of Radiology of the Royal University of Genoa. In the same year, he co-founded, together with Aristide Busi, the Italian Society of Medical Radiology, one of Europe's first scientific societies of radiology.As a pioneer of radiology, Maragliano suffered serious injuries due to radiodermatitis from 1901 onwards, which required amputations and repeated skin transplants. His tireless scientific activity and his great success in the international scientific sphere, together with his copious publications, make Vittorio Maragliano one of the greatest pioneers of 19th-century radiology and a source of pride for the Genoese and Ligurian School of Medicine.

A Natural Language Processing and Machine Learning Approach to Identification of Incidental Radiology Findings in Trauma Patients Discharged from the Emergency Department.

STUDY OBJECTIVE: Patients undergoing diagnostic imaging studies in the emergency department (ED) commonly have incidental findings, which may represent unrecognized serious medical conditions, including cancer. Recognition of incidental findings frequently relies on manual review of textual radiology reports and can be overlooked in a busy clinical environment. Our study aimed to develop and validate a supervised machine learning model using natural language processing to automate the recognition of incidental findings in radiology reports of patients discharged from the ED. METHODS: We performed a retrospective analysis of computed tomography (CT) reports from trauma patients discharged home across an integrated health system in 2019. Two independent annotators manually labeled CT reports for the presence of an incidental finding as a reference standard. We used regular expressions to derive and validate a random forest model using open-source and machine learning software. Final model performance was assessed across different ED types. RESULTS: The study CT reports were divided into derivation (690 reports) and validation (282 reports) sets, with a prevalence of incidental findings of 22.3%, and 22.7%, respectively. The random forest model had an area under the curve of 0.88 (95% confidence interval [CI], 0.84 to 0.92) on the derivation set and 0.92 (95% CI, 0.88 to 0.96) on the validation set. The final model was found to have a sensitivity of 92.2%, a specificity of 79.4%, and a negative predictive value of 97.2%. Similarly, strong model performance was found when stratified to a dedicated trauma center, high-volume, and low-volume community EDs. CONCLUSION: Machine learning and natural language processing can classify incidental findings in CT reports of ED patients with high sensitivity and high negative predictive value across a broad range of ED settings. These findings suggest the utility of natural language processing in automating the review of free-text reports to identify incidental findings and may facilitate interventions to improve timely follow-up.

Integrative Diagnostics: The Time Is Now-A Report From the International Society for Strategic Studies in Radiology.

Enormous recent progress in diagnostic testing can enable more accurate diagnosis and improved clinical outcomes. Yet these tests are increasingly challenging and frustrating; the volume and diversity of results may overwhelm the diagnostic acumen of even the most dedicated and experienced clinician. Because they are gathered and processed within the "silo" of each diagnostic discipline, diagnostic data are fragmented, and the electronic health record does little to synthesize new and existing data into usable information. Therefore, despite great promise, diagnoses may still be incorrect, delayed, or never made. Integrative diagnostics represents a vision for the future, wherein diagnostic data, together with clinical data from the electronic health record, are aggregated and contextualized by informatics tools to direct clinical action. Integrative diagnostics has the potential to identify correct therapies more quickly, modify treatment when appropriate, and terminate treatment when not effective, ultimately decreasing morbidity, improving outcomes, and avoiding unnecessary costs. Radiology, laboratory medicine, and pathology already play major roles in medical diagnostics. Our specialties can increase the value of our examinations by taking a holistic approach to their selection, interpretation, and application to the patient's care pathway. We have the means and rationale to incorporate integrative diagnostics into our specialties and guide its implementation in clinical practice.

Spotting lesions in thorax X-rays at a glance: holistic processing in radiology.

Radiologists often need only a glance to grasp the essence of complex medical images. Here, we use paradigms and manipulations from perceptual learning and expertise fields to elicit mechanisms and limits of holistic processing in radiological expertise. In the first experiment, radiologists were significantly better at categorizing thorax X-rays when they were presented for 200 ms in an upright orientation than when they were presented upside-down. Medical students, in contrast, were guessing in both situations. When the presentation time was increased to 500 ms, allowing for a couple more glances, the radiologists improved their performance on the upright stimuli, but remained at the same level on the inverted presentation. The second experiment circumvented the holistic processing by immediately cueing a tissue within the X-rays, which may or may not contain a nodule. Radiologists were again better than medical students at recognizing whether the cued tissue was a nodule, but this time neither the inverted presentation nor additional time affected their performance. Our study demonstrates that holistic processing is most likely a continuous recurring process which is just as susceptible to the inversion effect as in other expertise domains. More importantly, our study also indicates that holistic-like processing readily occurs in complex stimuli (e.g., whole thorax X-rays) but is more difficult to find in uniform single parts of such stimuli (e.g., nodules).

Stakeholders' perspectives of mobile x-ray services in support of healthcare-in-place in residential aged care facilities: a qualitative study.

BACKGROUND: There is interest in reducing avoidable emergency department presentations from residential aged care facilities (RACF). Mobile x-ray services may enable the delivery of healthcare in residential aged care facilities. Accordingly, the Australian Government in November 2019 introduced a Medicare Benefit Schedule rebate providing for a 'call-out' fee payable to radiology service providers. This study aims to understand stakeholder perspectives on the benefits of mobile x-ray services and the factors influencing their adoption by RACFs. DESIGN, SETTING, PARTICIPANTS: Twenty-two semi-structured interviews were conducted between October 2020 and February 2021 with a range of stakeholders involved in healthcare delivery to residents: a) general practitioners; b) emergency department clinicians; c) paramedic clinicians; d) a hospital avoidance clinician; e) radiology clinicians and managers; and f) aged care clinicians and managers. Thematic analysis was conducted. RESULTS: Mobile x-ray services were considered valuable for RACF residents. Lack of timely general practitioner in-person assessment and referral, as well as staffing deficits in residential aged care facilities, reduces optimal use of mobile x-ray services and results in potentially unnecessary hospital transfers. CONCLUSIONS: The use of mobile x-ray services, as a hospital avoidance strategy, depends on the capacity of RACFs to provide more complex healthcare-in-place. However, this requires greater access to general practitioners for in-person assessment and referral, adequate staffing numbers and appropriately skilled nursing staff within residential aged care facilities.

Engaging nurse practitioners and physician assistants to improve patient care and drive productivity in a radiology consult practice at a comprehensive cancer center.

BACKGROUND: The demand for health care in the United States is increasing because of an aging population and an increase in the number of individuals insured. This has led to requests to revamp the primary care infrastructure fundamentally. LOCAL PROBLEM: The optimal use of nurse practitioners (NPs) and physician assistants (PAs) is still a subject of debate, but recently, it was reported that for many medical conditions, NP and PA-managed care outcomes are consistent with physician-managed care outcomes. METHODS: Radiologists' productivity was measured according to relative value units (RVUs)/shift and professional billing changes. Patient care metrics measured were prescribed protocol to patient appointment lead time and number of same-day prescribed imaging protocol changes. INTERVENTIONS: The focus was on radiologists' productivity and patient care for three months before and three months after integrating NP and PA into our abdominal radiology consult service. RESULTS: We observed significant increases in the mean RVUs/shift (15.2 ± 0.9 vs. 6.2 ± 1.8; p = .02), studies read per shift (10.1 ± 0.5 vs. 4.4 ± 1.5; p = .003), revenue per shift hour ($756.20 ± 55.40 vs. $335.40 ± 32.60; p = .007), and protocol prescription to patient appointment lead time (39.3 ± 6.7 days vs. 16.3 ± 2.9 days; p = .005) and saw significant decreases in the mean prescribed CT (19.3 ± 0.6 vs. 3.3 ± 0.6; p = .001) and MRI (11.7 ± 0.6 vs. 8.30 ± 0.12; p = .011) same day protocol changes in NP and PA integrated workflow. CONCLUSIONS: These findings suggest that NP and PA can be effectively integrated into the abdominal radiology consult service, increasing radiologists' productivity and enhancing clinical care.

Using Facebook Live and Zoom as Tools for Online Radiology Education: A Practical Guide.

In early 2020, the rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) began to shake the world. As the resulting pandemic, quickly dubbed COVID-19, unfolded, we learned to enact public health safety measures to reduce or prevent its spread, particularly "social distancing," an expression once alien but now understood all too well. Consequently, many sought online resources when they would have previously accessed them in person. We have used Facebook Live for several years to discuss radiology topics and, on occasion, interview experts in the medical field and beyond. Much like live television, Facebook Live enables creators like us to share videos with followers in real time. Unlike live television, Facebook Live allows viewers to leave comments and questions in real time, rendering the platform much more interactive. Because Facebook Live has been a helpful tool for us to speak to radiology students and professionals around the world, we looked for another way to continue our interviews on Facebook Live while maintaining social distancing. We have managed to continue our interviews while socially distanced using the video communications software Zoom. With an increasing number of people migrating to online technology, the widespread use of social media for radiology education is imminent. We encourage others to consider mixing Facebook Live and Zoom to create more holistic educational experiences for radiology in the digital world. The COVID-19 pandemic has taught us that life can change unexpectedly and quickly, but online education is here to stay.

Value of Second-Opinion Interpretation of Outside-Facility Breast Imaging Studies to a Radiology Department and Cancer Center.

PURPOSE: The aim of this study was to estimate the physician work effort for formal written breast radiology second-opinion reports of imaging performed at outside facilities, to compare this effort with a per-report credit system, and to estimate the downstream value of subsequent services provided by the radiology department and institution at a National Comprehensive Cancer Network-designated comprehensive cancer center. METHODS: A retrospective review was conducted of consecutive reports for "outside film review" from July 1, 2015, to June 30, 2018. The number and types of breast imaging studies reinterpreted for each individual patient request were tabulated for requests for a 3-month sample from each year. Physician effort was estimated on the basis of the primary interpretation CMS fee schedule for work relative value units (wRVUs) for the study-specific Current Procedural Terminology (CPT) code and study type. This effort was compared with the interpreting radiologist credit of 0.44 wRVUs per report. Subsequent imaging and evaluation and management encounters generated by these second-opinion patient requests were tracked through June 30, 2019. RESULTS: For the 3-year period reviewed, 2,513 unique patient requests were identified, averaging 837 per fiscal year. For January to March of 2016, 2017, and 2018, 645 unique patient reports were identified. For these reports, 2,216 studies were reinterpreted, with an estimated physician effort of 2,660 wRVUs compared with 284 wRVUs on the basis of per-report credit. The range of annualized wRVUs for all outside studies interpreted and credited per specific CPT code was 3,135 to 3,804 (mean, 3,547). However, the institutional relative value unit credit received for fiscal years 2015, 2016, and 2017, on the basis of the number of patient requests, was only 385, 375, and 345 wRVUs, respectively. CONCLUSIONS: This study demonstrates the substantial work effort necessary to provide formal second-opinion interpretations for breast imaging studies at a National Comprehensive Cancer Network cancer center. The authors believe that these data support billing for the study-specific CPT code and crediting the radiologist with the full wRVUs for each study reinterpreted.

[Integrated care concepts and multidisciplinary process chains in a radiological context]. / Integrierte Behandlungskonzepte und multidisziplinär organisierte Prozessketten im radiologischen Kontext.

Modern patient-centered and cost-efficient care concepts in hospitals require the mapping of multidisciplinary process chains into clinical pathways. Clinical decision support systems and operations research methods use algorithms to classify patients into homogeneous groups and to model a complete clinical pathway for scheduling individual procedures. An improvement of the economic situation of the care facility can be achieved through improved resource utilization, reduced patient waiting times and a shortening of the length of stay. The interdisciplinary use of centrally stored interoperable information and comprehensive care management via information technology (IT) services lay the foundation for the dissolution of traditional IT system architectures in medicine and the development of flexibly integrable modern system platforms. New IT approaches such as the semantically standardized definition of procedures and resource properties, the use of clinical decision support systems and the use of service-oriented system architectures form the basis for the deep integration of radiology services into comprehensive interdisciplinary care concepts.

Predicting pathologic venous invasion before pancreatectomy with venous resection: When does radiology tell the truth?

BACKGROUND: Patients factors in addition to radiological characteristics could predict the presence of pathologic venous invasion in patients undergoing pancreatectomy with venous resection. METHODS: We tested the predictive value of 6 radiological classification methods for predicting pathologic venous invasion-the Nakao, Ishikawa, MD Anderson, Lu, Raptopoulos, and National Comprehensive Cancer Network methods-on a cohort of 198 pancreatectomies (160 pancreaticoduodenectomies and 38 total pancreatectomies) with venous resection for pancreatic adenocarcinomas. Radiological and clinical factors determining pathologic venous invasion were identified by multivariable logistic analysis. RESULTS: Pathologic venous invasion was detected in 124 patients (63.2%). The multivariable logistic regression analysis identified Lu classification (odds ratio = 1.77, 95% confidence interval =1.34-2.35; P < .0001), elevated serum CA19-9 values (odds ratio = 1.97, 95% confidence interval = 1.00-3.90; P = .04), and preoperative neoadjuvant chemotherapy (odds ratio = 0.38, 95% confidence interval = 0.18-0.79; P = .009) as independent factors associated with pathologic venous invasion. Radiological tumor-vessel contact greater than 50% of the circumference or venous wall deformity was associated with a significantly higher rate of pathological venous invasion (80% vs 52%; P < .0001), deeper (media-intima) venous invasion (47% vs 25%; P < .0001), R1 resection (58% vs 41%; P = .03), higher transfusions (84% vs 66%; P = .005), and arterial resection rates (43% vs 27%; P < .0001). Tumor-vein circumference contact of >50% and/or venous wall deformity was still associated with significantly higher rates of pathologic venous invasion, regardless of whether neoadjuvant chemotherapy was used or not and CA19-9 normalized or not under preoperative treatment. CONCLUSION: Preoperative radiological detection of tumor-vein circumference contact >50% and/or venous wall deformity is associated with up to 80% of cases of pathological venous invasion. The combination of radiologic features with biological (CA19-9) and clinical (presence of preoperative chemotherapy) factors could better refine preoperatively the need for venous resection.