The Virtual Radiology Reading Room: Initial Perceptions of Referring Providers and Radiologists

The objective of this study is to assess the initial perception of referring providers and radiologists to a virtual consultation solution (the Virtual Radiology Reading Room, VR3). VR3 is specifically designed to replace the radiology reading room phone and enable the radiologist to continue to work as part of the clinical care team fielding radiology consults without being confined to the same physical space. Surveys of providers' and radiologists' initial experience were conducted approximately 6 months after initial deployment. Users were asked about their overall impression, and how well the solution integrates with their workflow as well as how it compares to traditional phone calls to the reading room. Forty of 71 referring providers and 27 of 44 radiologists responded to our survey. VR3 was rated 4.7 out of 5 stars by referrers and 4.1 by radiologists. Seventy percent of referrers and radiologists preferred VR3 to the phone while 4.5% of referrers and 11% of radiologists preferred the phone. Referring providers and radiologists expressed a positive initial perception of the Virtual Radiology Reading Room and prefer it to traditional phone calls to the reading room.

Performance of Pediatric Neuroradiologists Working from Home during a Pandemic at a Quaternary Pediatric Academic Hospital

BACKGROUND AND PURPOSE

As a result of the coronavirus disease 2019 (COVID-19) pandemic, many radiology departments shifted to working a portion of clinical assignments from home. To determine the effect of working from home on performance, productivity, quality, and safety, we evaluated turnaround time, volume of studies, and error rates on rotations worked from home compared with in the hospital.

MATERIALS AND METHODS

The number of studies interpreted per day for each neuroradiologist, turnaround times, and error rates reported to peer learning was identified from April 1, 2020, through September 30, 2020. For each neuroradiologist, mean turnaround times and volumes per day at home versus in the hospital were compared. Similar comparison was performed for STAT studies.

RESULTS

During the time period, 2597 CTs (1897 at home, 700 in the hospital) and 3685 MRIs (2601 at home, 1084 in the hospital) were read. By individual neuroradiologists, 57% (4/7) had shorter turnaround time at home and 57% (4/7) demonstrated an increase in the mean number of studies per day read at home. No statistically significant difference was noted in the neuroradiologists' performance while reading STAT studies. Reported error rates were not found to be higher at home, with statistically significantly lower rates when working at home (P = .018).

CONCLUSIONS

Variable productivity and performance of neuroradiologists when working from home versus in the hospital were found, being 57% faster and/or more productive while working at home without an increase in error rates. The decision to work at home versus in the hospital may best be based on local factors, balancing the variability among individual neuroradiologist's and the institution's needs, recognizing that working from home is not a one-size-fits-all phenomenon but requires adaptability for successful implementation.

The concept of the invisible radiologist in the era of artificial intelligence

The radiologists were traditionally working in the background. What upgraded them as physicians during the second half of the past century was their clinical training and function precipitated by the evolution of Interventional Radiology and Medical Imaging, especially with ultrasonography. These allowed them to participate in patient's diagnosis and treatment by direct contact as well asvia multidisciplinary medical consultations. The wide application of teleradiology and PACS pushed radiologists back again which is no longer acceptable, especially in view of the amazing applications of artificial intelligence (AI) in Radiology. It is our belief that clinical radiologists have to be able to control the penetration of AI in Radiology, securing their work for the benefit of both clinicians and patients.

Communication - a lost art?

The field of radiology has benefited greatly from the technological boom that has brought greater precision, efficiency and utilization amid an exponential growth in medical science. The downside is that the same technology that has allowed the field to grow is contributing to an erosion of interpersonal communication and connection with patients and referring physicians. Remote reading has displaced us from the communal reading room, where much interaction and teaching used to take place. The "invisible" radiologist must transcend these barriers in order to preserve and strengthen the role of radiology in medical care. With modest adaptation, radiologists can regain their identity as consultants, where they have the greatest chance to show their value and thwart the drive toward commoditization.

Management of Incidental Pulmonary Nodules: Influencing Patient Care Through Subspecialized Imaging Review

OBJECTIVE

To evaluate whether thoracic radiologist review of computed tomography-detected incidental pulmonary nodules initially reported by non-thoracic imagers would change management recommendations.

MATERIALS AND METHODS

The Radiology Consultation Service identified 468 computed tomography scans (one per patient) performed through the adult emergency department from August 2018 through December 2020 that mentioned the presence of a pulmonary nodule. Forty percent (186/468) were read by thoracic radiologists and 60% (282/468) were read by non-thoracic radiologists. The Radiology Consultation Service contacted all patients in order to assess risk factors for lung malignancy. Sixty-seven patients were excluded because they were unreachable, declined participation, or were actively followed by a pulmonologist or oncologist. A thoracic radiologist assessed the nodule and follow up recommendations in all remaining cases.

RESULTS

A total of 215 cases were re-reviewed by thoracic radiologists. The thoracic radiologist disagreed with the initial nodule recommendations in 38% (82/215) of cases and agreed in 62% (133/215) of cases. All discordant cases resulted in a change in management by the thoracic radiologist with approximately one-third (33%, 27/82) decreasing imaging utilization and two-thirds (67%, 55/82) increasing imaging utilization. Nodules were deemed benign and follow up eliminated in 11% (9/82) of discordant cases.

DISCUSSION

Our study illustrates that nodule review by thoracic radiologists results in a change in management in a large percentage of patients. Continued research is needed to determine whether subspecialty imaging review results in increased or more timely lung cancer detection.

Concordance Assessment of Pathology Results with Imaging Findings after Image-Guided Biopsy

PURPOSE

To assess the impact of radiology review for discordance between pathology results from computed tomography (CT)-guided biopsies versus imaging findings performed before a biopsy.

MATERIALS AND METHODS

In this retrospective review, which is compliant with the Health Insurance Portability and Accountability Act and approved by the institutional review board, 926 consecutive CT-guided biopsies performed between January 2015 and December 2017 were included. In total, 453 patients were presented in radiology review meetings (prospective group), and the results were classified as concordant or discordant. Results from the remaining 473 patients not presented at the radiology review meetings were retrospectively classified. Times to reintervention and to definitive diagnosis were obtained for discordant cases; of these, 49 (11%) of the 453 patients were in the prospective group and 55 (12%) of the 473 patients in the retrospective group.

RESULTS

Pathology results from CT-guided biopsies were discordant with imaging in 11% (104/926) of the cases, with 57% (59/104) of these cases proving to be malignant. In discordant cases, reintervention with biopsy and surgery yielded a shorter time to definitive diagnosis (28 and 14 days, respectively) than an imaging follow-up (78 days) (P < .001). The median time to diagnosis was 41 days in the prospective group and 56 days in the retrospective group (P = .46). When radiologists evaluated the concordance between pathology and imaging findings and recommended a repeat biopsy for the discordant cases, more biopsies were performed (50% [11/22] vs 13% [4/31]; P = .005).

CONCLUSIONS

Eleven percent of CT-guided biopsies yielded pathology results that were discordant with imaging findings, with 57% of these proving to be malignant on further workup.

Adding value in the era of COVID-19: Increasing usage of a patient-centered radiology consultation service

OBJECTIVE

To examine the effects of COVID-19 pandemic on our department's Radiology Consultation Service (RCS) related to breast imaging, and how utilization of the provided services may have differed as compared to prior to the pandemic.

MATERIALS AND METHODS

A retrospective cohort study of patients and health care providers who consulted the RCS, as well as those patients who had a screening mammogram and/or ultrasound between January 1, 2019 and September 1, 2020. Consultations were performed by an RRA, RN and one of 17 breast imaging radiologists assigned to consults on daily. Descriptive statistics were performed to describe the study subject population.

RESULTS

Between January 1, 2020 and July 31, 2020, a total of 1623 consultations were performed, in comparison to the control period from the year prior (January 1, 2019 to July 31, 2019), when a total of 1398 consultations were performed, representing a 16% increase in one year. Between March 1, 2020 and June 30, 2020, a total of 679 consultations were performed, in comparison to the control period from the year prior (March 1, 2019 to June 30, 2019), when 583 consultations were performed, representing a 16.5% increase in a four-month period. 350 out of 679 (36.8%) consultations addressed COVID concerns.

CONCLUSIONS

While much of radiology experienced an unprecedented decrease in imaging studies during the initial peak of COVID-19 crisis, the RCS at our institution showed a significant increase in services provided, evolving to address pressing concerns related to COVID-19.

The Radiology Virtual Reading Room: During and Beyond the COVID-19 Pandemic

The COVID-19 pandemic has disrupted the radiology reading room with a potentially lasting impact. This disruption could introduce the risk of obviating the need for the reading room, which would be detrimental to many of the roles of radiology that occur in and around the reading room. This disruption could also create the opportunity for accelerated evolution of the reading room to meet the strategic needs of radiology and health care through thoughtful re-design of the virtual reading room. In this article, we overview the impact of the COVID-19 pandemic on radiology in our institution and across the country, specifically on the dynamics of the radiology reading room. We introduce the concept of the virtual reading room, which is a redesigned alternative to the physical reading room that can serve the diverse needs of radiology and healthcare during and beyond the pandemic.

Towards better metainterpretation: improving the clinician's interpretation of the radiology report

How the clinician interprets the radiology report has a major impact on the patient's care. It is a crucial cognitive task, and can also be a significant source of error. Because the clinician must secondarily interpret the radiologist's interpretation of the images, this step can be referred to as a "metainterpretation". Some considerations for that task are offered from the perspective of a radiologist. A revival of the tradition of discussing cases with the radiologist is encouraged.

Reversible 3D compression of segmented medical volumes: usability analysis for teleradiology and storage

BACKGROUND

DICOM standard does not have modules that provide the possibilities of two-dimensional Presentation States to three-dimensional (3D). Once the final 3D rendering is obtained, only video/image exporting or snapshots can be used. To increase the utility of 3D Presentation States in clinical practice and teleradiology, the storing and transferring the segmentation results, obtained after tedious procedures, can be very effective.

PURPOSE

To propose a strategy for preserving interaction and mobility of visualizations for teleradiology by storing and transferring only binary segmented data, which is effectively compressed by modern adaptive and context-based reversible methods.

MATERIAL AND METHODS

A diverse set of segmented data, which include four abdominal organs (liver, spleen, right, and left kidneys) from 20 T1-DUAL and 20 T2-SPIR MRI, liver from 20 CT, and abdominal aorta with aneurysms (AAA) from 19 computed tomography-angiography datasets, are collected. Each organ is segmented manually by expert physicians, and binary volumes are created. The well-established reversible binary compression methods PNG, JPEG-LS, JPEG-XR, CCITT-G4, LZW, JBIG2, and ZIP are applied to medical datasets. Recently proposed context-based (3D-RLE) and adaptive (ABIC) algorithms are also employed. The performance assessment has been presented in terms of the compression ratio that is a universal compression metric.

RESULTS

Reversible compression of binary volumes results with substantial decreases in file size such as 254 to 2.14 MB for CT-AAA, 56.7 to 0.3 MB for CT-liver. Moreover, compared to the performance of well-established methods (i.e., mean 76.14%), CR is observed to be increased significantly for all segmented organs from both CT and MRI datasets when ABIC (95.49%) and 3D-RLE (94.98%) are utilized. The hypothesis is that morphological coherence of scanning procedure and adaptation between the segmented organs, that is, bi-level images, contributes to compression performance. Although the performance of well-established techniques is satisfactory, the sensitivity of ABIC to modality type and the advantage of 3D-RLE when the spatial coherence between the adjacent slices are high results with up to 10 times more CR performance.

CONCLUSION

Adaptive and context-based compression strategies allow effective storage and transfer of segmented binary data, which can be used to re-produce visualizations for better teleradiology practices preserving all interaction mechanisms.

Radiology Report Value Equation

Value in medicine is defined as the ratio of quality and service and health care outcomes to the costs and inefficiencies of providing care. Creating patient-centered value in radiology reporting requires radiologists to provide accurate diagnostic interpretations in an accessible format with useful advice on further imaging, as well as report-embedded reference materials desired by the referring provider. The value- and service-centered radiologist provides urgent communications when appropriate and is readily available for report consultations. Indirect costs or inefficiencies embedded in report style can erode value. Value is preserved when radiologists strive for concise, clear, and timely reporting. ^©RSNA, 2018.

Radiology Education in the 21st Century: Threats and Opportunities

Over the past 25 years, radiology has seen tremendous growth in interpretive demands, including increasing imaging volumes and shorter turnaround times, as well as increased noninterpretive demands often targeting value-adding opportunities. These mounting pressures have led to increased burnout among radiologists nationwide and, in the academic setting, have begun to threaten the core educational mission. Despite these threats, radiology has also proven itself over the years to be a leader when it comes to innovation, and as such, no other field is better suited to confront these challenges with innovative solutions. This article explores the impact these workload trends have had on radiology education and educators, as well as opportunities to confront these challenges.

Enhancing patient value efficiently: Medical history interviews create patient satisfaction and contribute to an improved quality of radiologic examinations

Diagnostic radiology examinations are generally very efficient processes optimized for high throughput and for serving the needs of physicians. On the downside, streamlined examinations disrupt the personal relationship between diagnosticians and patients. The radiology associations RSNA and ACR consider low visibility of radiologists a threat to the profession. Therefore, they launched counter-acting initiatives that aim at increasing patient satisfaction by providing more personal attention and care, and by raising knowledge about the discipline. However, they did not formulate concrete instructions on how to integrate care by radiologists into the examination process while inhibiting the flow minimally. From an internal patient satisfaction survey, we have seen that patients rated satisfaction with care and attention by physicians relatively low, indicating that patients would welcome a possibility to communicate with radiologists. In a controlled experimental setting, we have then changed our process to include a short medical history interview. Thereby we could corroborate that lack of educated communication is the primary cause of diminished satisfaction and could establish that the duration of the encounter is not critical to achieving improvement. Importantly, the interview also helped to improve the quality of the examination. Thus, short medical history interviews are a very efficient way to increase value by maximizing patient satisfaction and examination quality. Our approach is easy to implement in other radiology clinics that are interested in becoming more patient-centered and in raising patient satisfaction.

Trends in radiology and experimental research

European Radiology Experimental, the new journal launched by the European Society of Radiology, is placed in the context of three general and seven radiology-specific trends. After describing the impact of population aging, personalized/precision medicine, and information technology development, the article considers the following trends: the tension between subspecialties and the unity of the discipline; attention to patient safety; the challenge of reproducibility for quantitative imaging; standardized and structured reporting; search for higher levels of evidence in radiology (from diagnostic performance to patient outcome); the increasing relevance of interventional radiology; and continuous technological evolution. The new journal will publish not only studies on phantoms, cells, or animal models but also those describing development steps of imaging biomarkers or those exploring secondary end-points of large clinical trials. Moreover, consideration will be given to studies regarding: computer modelling and computer aided detection and diagnosis; contrast materials, tracers, and theranostics; advanced image analysis; optical, molecular, hybrid and fusion imaging; radiomics and radiogenomics; three-dimensional printing, information technology, image reconstruction and post-processing, big data analysis, teleradiology, clinical decision support systems; radiobiology; radioprotection; and physics in radiology. The journal aims to establish a forum for basic science, computer and information technology, radiology, and other medical subspecialties.