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Peripheral arterial and venous examinations are performed regularly in vascular labs and interpreted by physicians of different specialities. Many vascular examinations have nonvascular pathology that is either inadvertently imaged by the sonographer or imaged with intent as it relates to patient's symptoms. It is prudent for every reader of vascular studies to be acquainted with the sonographic appearance of these non-vascular lesions to enable appropriate and optimal interpretation that has a direct bearing on patient's clinical care. Our review includes a discussion of the nonvascular pathologies like lymph nodes, soft tissue edema, soft tissue fluid collections, musculotendinous injuries, soft tissue masses, and joint and bursal pathologies that may be encountered during interpretation of vascular exams. The pictorial essay includes a discussion of their sonographic appearances and pitfalls in interpretation. Multiple illustrative examples and sonographic images of the non-vascular pathologies found during interpretation of vascular studies have been utilized to highlight their appearances.

We evaluated the performance of ACR TI-RADS when points for lobulated margins are applied only when the margins meet a quantified measure of margin microlobulation and not applied when nodules only demonstrate macrolobulation.We retrospectively reviewed ultrasound and pathology records (May 01, 2018 to July 31, 2020) to find all thyroid nodules at one institution characterized as having lobulated margins using the ACR TI-RADS lexicon and subsequently undergoing fine needle aspiration (FNA). Nodule margins were evaluated to note the presence or absence of microlobulation, quantitatively defined as a protrusion with a base2.5 mm in length. The impact to detection of malignant nodules and avoidance of benign FNA when margin points for lobulation were added only when microlobulated was analyzed.58 of 516 thyroid nodules undergoing US-guided FNA were classified as lobulated, comprising the study population. 21 (36.2%) had microlobulated margins, with 12 of the 21 (57.1%) being malignant. Comparatively, of the 37 nodules showing only macrolobulated margins without microlobulation, only 2 (5.4%) were malignant (P .0001). For 53 nodules ≥10 mm, 15 (28.3%) benign nodules would not have met size criteria for FNA had points for margins not been applied when only showing macrolobulation, whereas all 10 malignant nodules would still have been sampled.Adding two points to the ACR TI-RADS score for lobulated thyroid nodules should only apply when microlobulations are present.

As with clinical care, radiology education benefits when stakeholders collaborate to gather and analyze data to answer questions and solve issues. Just as importantly, radiology educators benefit academically and professionally when they demonstrate a portfolio of published scholarship to promotion committees and department leaders. The principles and techniques used in the design of medical education research are not well understood by many radiology educators because educational scholarship methodologies have received little attention in our literature. Lack of familiarity and inexperience with research methodologies, particularly qualitative research, are barriers that education researchers can address with knowledge acquisition and practice. This overview surveys the landscape and offers suggested medical education research resources to help researchers explore topics to increase understanding of quantitative, qualitative, mixed-methods, survey, and educational design methodologies.

To assess the impact of elevated blood pressure on the rate of major hemorrhagic complication after renal transplant biopsy. Pre-procedural systolic (SBP), diastolic (SBP), and mean arterial (MAP) blood pressure for consecutive patients undergoing US-guided renal transplant biopsies from 08/01/2015 to 7/31/2017 were retrospectively recorded. Patients who had a major bleeding complication were identified. The risk of complication as a function of SBP, DBP, and MAP was statistically analyzed, with significance set at p

Venous insufficiency is a cause of substantial morbidity and medical expenditures. Diagnostic US evaluation of venous insufficiency requires a thorough understanding of the venous anatomy, including the deep, superficial, and perforator veins. The highly variable venous anatomy requires that operators use sound judgment to expand on protocol images and thus avoid missing important sources of reflux. The US examination requires specific patient positioning and use of provocative maneuvers. A basic understanding of the pathophysiology of venous insufficiency and the various treatment methods helps to identify key observations so that ineffective treatment methods are not pursued. The examination reports should have greater detail than those for the more common lower extremity deep venous thrombosis evaluation, requiring numeric and narrative descriptions of deep and superficial venous patency, reflux, diameter, and pathways. Potential pitfalls include not recognizing or detecting deep venous reflux, misidentifying common femoral vein reflux as deep venous reflux when the reflux is isolated or related to saphenofemoral insufficiency, not recognizing anterior accessory great saphenous vein (AAGSV) involvement in saphenofemoral insufficiency, not recognizing or reporting great saphenous vein or AAGSV superficialization, not suspecting central venous obstruction, and not realizing when provocative maneuvers were ineffective. With knowledge of the lower extremity venous anatomy, venous insufficiency pathophysiology, basic treatment strategies, protocol best practices, patterns of observation, and diagnostic pitfalls, those who interpret venous insufficiency US studies can perform examinations and deliver reports that help patients receive appropriate treatment.

Background Despite the high morbidity and mortality associated with sepsis, the relationship between the plasma proteome and clinical outcome is poorly understood. In this study, we used targeted plasma proteomics to identify novel biomarkers of sepsis in critically ill patients. Methods Blood was obtained from 15 critically ill patients with suspected/confirmed sepsis (Sepsis-3.0 criteria) on intensive care unit (ICU) Day-1 and Day-3, as well as age- and sex-matched 15 healthy control subjects. A total of 1161 plasma proteins were measured with proximal extension assays. Promising sepsis biomarkers were narrowed with machine learning and then correlated with relevant clinical and laboratory variables. Results The median age for critically ill sepsis patients was 56 (IQR 51–61) years. The median MODS and SOFA values were 7 (IQR 5.0–8.0) and 7 (IQR 5.0–9.0) on ICU Day-1, and 4 (IQR 3.5–7.0) and 6 (IQR 3.5–7.0) on ICU Day-3, respectively. Targeted proteomics, together with feature selection, identified the leading proteins that distinguished sepsis patients from healthy control subjects with ≥ 90% classification accuracy; 25 proteins on ICU Day-1 and 26 proteins on ICU Day-3 (6 proteins overlapped both ICU days; PRTN3, UPAR, GDF8, NTRK3, WFDC2 and CXCL13). Only 7 of the leading proteins changed significantly between ICU Day-1 and Day-3 (IL10, CCL23, TGFα1, ST2, VSIG4, CNTN5, and ITGAV; P Conclusions Targeted proteomics with feature selection identified proteins altered in critically ill sepsis patients relative to healthy control subjects. Correlations between protein expression and clinical/laboratory variables were identified, each providing pathophysiological insight. Our exploratory data provide a rationale for further hypothesis-driven sepsis research.

Critically ill patients infected with SARS-CoV-2 display adaptive immunity, but it is unknown if they develop cross-reactivity to variants of concern (VOCs). We profiled cross-immunity against SARS-CoV-2 VOCs in naturally infected, non-vaccinated, critically ill COVID-19 patients. Wave-1 patients (wild-type infection) were similar in demographics to Wave-3 patients (wild-type/alpha infection), but Wave-3 patients had higher illness severity. Wave-1 patients developed increasing neutralizing antibodies to all variants, as did patients during Wave-3. Wave-3 patients, when compared to Wave-1, developed more robust antibody responses, particularly for wild-type, alpha, beta and delta variants. Within Wave-3, neutralizing antibodies were significantly less to beta and gamma VOCs, as compared to wild-type, alpha and delta. Patients previously diagnosed with cancer or chronic obstructive pulmonary disease had significantly fewer neutralizing antibodies. Naturally infected ICU patients developed adaptive responses to all VOCs, with greater responses in those patients more likely to be infected with the alpha variant, versus wild-type.

Coronavirus disease 2019 (COVID-19), caused by SARS-CoV-2, is a global health care emergency. Anti-SARS-CoV-2 serological profiling of critically ill COVID-19 patients was performed to determine their humoral response. Blood was collected from critically ill ICU patients, either COVID-19 positive (+) or COVID-19 negative (−), to measure anti-SARS-CoV-2 immunoglobulins: IgM, IgA, IgG, and Total Ig (combined IgM/IgA/IgG). Cohorts were similar, with the exception that COVID-19+ patients had a greater body mass indexes, developed bilateral pneumonias more frequently and suffered increased hypoxia when compared to COVID-19- patients (p &lt, 0.05). The mortality rate for COVID-19+ patients was 50%. COVID-19 status could be determined by anti-SARS-CoV-2 serological responses with excellent classification accuracies on ICU day 1 (89%), ICU day 3 (96%), and ICU days 7 and 10 (100%). The importance of each Ig isotype for determining COVID-19 status on combined ICU days 1 and 3 was: Total Ig, 43%, IgM, 27%, IgA, 24% and IgG, 6%. Peak serological responses for each Ig isotype occurred on different ICU days (IgM day 13 &gt, IgA day 17 &gt, IgG persistently increased), with the Total Ig peaking at approximately ICU day 18. Those COVID-19+ patients who died had earlier or similar peaks in IgA and Total Ig in their ICU stay when compared to patients who survived (p &lt, 0.005). Critically ill COVID-19 patients exhibit anti-SARS-CoV-2 serological responses, including those COVID-19 patients who ultimately died, suggesting that blunted serological responses did not contribute to mortality. Serological profiling of critically ill COVID-19 patients may aid disease surveillance, patient cohorting and help guide antibody therapies such as convalescent plasma.

Objectives We analyzed growth rates of benign ovarian serous cystadenomas and cystadenofibromas to understand what percentage would show a volume doubling time (DT) of less than 3 years, between 3 and 5 years, or greater than 5 years. Methods We retrospectively reviewed pathology records (January 1, 2014, to June 30, 2019) to find all surgically excised ovarian serous cystadenomas and cystadenofibromas. Imaging records were then reviewed to identify those that had been confidently identified with ultrasound imaging, magnetic resonance imaging, or computed tomography at least twice before surgical removal, with at least a 60-day interval between studies. Three orthogonal measurements were recorded on the first and last imaging studies on which the mass was detected, with volume calculations by the prolate formula (product of 3 measurements multiplied by 0.52). The volume DT was calculated and grouped into 1 of 5 categories: (1) DT of less than 1 year; (2) DT of 1 to 3 years; (3) DT of 3 to 5 years; (4) DT of 5 to 10 years; and (5) no growth (any mass with a DT >10 years or showing a decrease in volume). Results A total of 102 of 536 cystadenomas and 44 of 227 cystadenofibromas met inclusion criteria. Of the 146 tumors, 40 (27.4%) had a DT of less than 1 year; 38 (26.0%) had a DT of 1 to 3 years; 22 (15.1%) had a DT of 3 to 5 years; 10 (6.8%) had a DT of 5 to 10 years; and 36 (24.7%) showed no growth. Conclusions A total of 53.4% of ovarian serous cystadenomas/cystadenofibromas have a DT of less than 3 years; 15.1% have a DT between 3 and 5 years; and 31.5% have a DT of greater than 5 years or show no growth.

Purpose We analyzed multi-institutional data to understand the relationship of ACR Diagnostic Radiology In-Training Examination (DXIT) scores to ABR Core examination performance. Methods We collected DXIT rank scores and ABR Core examination outcomes and scores for anonymized residents from 12 different diagnostic radiology residency programs taking the ABR Core examination between 2013 and 2019. DXIT scores were grouped into quintiles based on rank score for residency year 1 (R1), residency year 2 (R2), and residency year 3 (R3) residents. Core outcome was scored as fail when conditionally passed or failed. Core performance was grouped using SD from the mean and measured by the percent of residents with scores below the mean. Differences between DXIT score quintiles for Core outcome and Core performance were statistically evaluated. Results DXIT and Core outcome data were available for 446 residents. The Core examination failure rate for the lowest quintile R1, R2, and R3 DXIT scores was 20.3%, 34.2%, and 38.0%, respectively. Core performance improved with higher R3 DXIT quintiles. Only 2 of 229 residents with R3 DXIT score ≥ 50th percentile failed the Core examination, with both failing residents having R2 DXIT scores in the lowest quintile. Conclusions DXIT scores are useful evaluation metrics to identify a subgroup of residents at significantly higher risk for Core examination failure and another subgroup of residents at significantly lower risk for Core examination failure, with increasing predictive power with advancing residency year. These scores enable identification of approximately one-half of R3 residents whose risk of Core examination failure is negligible.

OBJECTIVES To determine whether renal transplant diagnoses substantially change when 2 biopsy sites are chosen and whether contrast-enhanced ultrasound (CEUS) has value for targeting the second site. METHODS We prospectively enrolled 40 patients undergoing ultrasound-guided renal transplant biopsy within 2 years of transplant: 20, surveillance; and 20, for cause. A CEUS examination was performed to identify cortical regions with subjectively altered flow. One biopsy was performed at the operator-preferred (primary) site regardless of CEUS findings. Another biopsy was done at a second location, either targeted to an area in which CEUS perfusion findings differed from the primary site (targeted) or at a random location (secondary) if no other area differed. Specimens were randomly labeled A or B; pathologists were blinded to the CEUS result and biopsy location. Location-specific CEUS assessments were recorded. Pathologic results were compared, including acute and chronic Banff scores and any new findings from the targeted or secondary biopsy. RESULTS Forty patients were enrolled between January 2016 and December 2018. No location-specific pathologic differences correlated with differences in CEUS assessments. The second biopsy provided additional information that changed management in 4 of 40 patients (10.0% [95% confidence interval, 2.8%-23.7%]). Major bleeding complications occurred in 3 of 40 (7.5%) patients. CONCLUSIONS Contrast-enhanced ultrasound targeting was not useful. Major bleeding complications were higher than expected, possibly due to the additional biopsy away from the operator-preferred location. Obtaining a second renal transplant biopsy from a substantially different area than the initial operator-preferred location provided additional clinically useful information in 10% of patients.

The diagnosis of ovarian torsion is challenging and relies mostly on morphologic findings. Occasionally, women or children with acute pelvic pain who have undergone an initial ultrasound (US) evaluation with results interpreted as negative for ovarian torsion will return with recurrent or increasing pain, prompting an US reevaluation. The flipped ovary sign refers to a demonstrable change in the orientation of the ovary on follow-up US examinations, recognized by changing positions of ovarian landmarks established by follicles, cysts, or masses. This sign is valuable for identifying ovarian torsion in these patients, even in the absence of classic morphologic or Doppler features of ovarian torsion.

Purpose We analyzed multi-institutional data to understand the relationship of US Medical Licensing Examination (USMLE) Step scores to ABR Core examination performance to identify Step score tiers that stratify radiology residents into different Core performance groups. Methods We collected USMLE Step scores and ABR Core examination outcomes and scores for anonymized residents from 13 different diagnostic radiology residency programs taking the ABR Core examination between 2013 and 2019. USMLE scores were grouped into noniles using z scores and then aggregated into three tiers based on similar Core examination pass-or-fail outcomes. Core performance was grouped using standard deviation from the mean and then measured by the percent of residents with scores below the mean. Differences between Step tiers for Core outcome and Core performance were statistically evaluated (P Results Differences in Step 1 terciles Core failure rates (45.9%, 11.9%, and 3.0%, from lowest to highest Step tiers; n = 416) and below-mean Core performance (83.8%, 54.1%, and 21.1%, respectively; n = 402) were significant. Differences in Step 2 groups Core failure rates (30.0%, 10.6%, and 2.0%, from lowest to highest Step tiers; n = 387) and below-mean Core performance (80.0%, 43.7%, and 14.0%, respectively; n = 380) were significant. Step 2 results modified Core outcome and performance predictions for residents in Step 1 terciles of varying statistical significance. Conclusions Tiered scoring of USMLE Step results has value in predicting radiology resident performance on the ABR Core examination; effective stratification of radiology resident applicants can be done without reporting numerical Step scores.

The ACR Incidental Findings Committee (IFC) presents recommendations for managing adnexal masses incidentally detected on CT and MRI. These recommendations represent an update of those provided in our previous JACR 2013 white paper. The Adnexal Subcommittee, which included six radiologists with subspecialty expertise in abdominal imaging or ultrasound and one gynecologist, developed this algorithm. The recommendations draw from published evidence and expert opinion and were finalized by iterative consensus. Algorithm branches successively categorize adnexal masses based on patient characteristics (eg, pre- versus postmenopausal) and imaging features. They terminate with a management recommendation. The algorithm addresses most, but not all, pathologies and clinical scenarios. Our goal is to improve quality of care by providing guidance on how to manage incidentally detected adnexal masses.

Introduction: Severe traumatic brain injury (sTBI) is a leading cause of mortality in children. As clinical prognostication is important in guiding optimal care and decision making, our goal was to create a highly discriminative sTBI outcome prediction model for mortality. Methods: Machine learning and advanced analytics were applied to the patient admission variables obtained from a comprehensive pediatric sTBI database. Demographic and clinical data, head CT imaging abnormalities and blood biochemical data from 196 children and adolescents admitted to a tertiary pediatric intensive care unit (PICU) with sTBI were integrated using feature ranking by way of a forest of randomized decision trees, and a model was generated from a reduced number of admission variables with maximal ability to discriminate outcome. Results: In total, 36 admission variables were analyzed using feature ranking with variable weighting to determine their predictive importance for mortality following sTBI. Reduction analysis utilizing Borata feature selection resulted in a parsimonious six-variable model with a mortality classification accuracy of 82%. The final admission variables that predicted mortality were: partial thromboplastin time (22%); motor Glasgow Coma Scale (21%); serum glucose (16%); fixed pupil(s) (16%); platelet count (13%) and creatinine (12%). Using only these six admission variables, a t-distributed stochastic nearest neighbor embedding algorithm plot demonstrated visual separation of sTBI patients that lived or died, with high mortality predictive ability of this model on the validation dataset (AUC = 0.90) which was confirmed with a conventional area-under-the-curve statistical approach on the total dataset (AUC = 0.91; P < 0.001). Conclusions: Machine learning-based modeling identified the most clinically important prognostic factors resulting in a pragmatic, high performing prognostic tool for pediatric sTBI with excellent discriminative ability to predict mortality risk with 82% classification accuracy (AUC = 0.90). After external multicenter validation, our prognostic model might help to guide treatment decisions, aggressiveness of therapy and prepare family members and caregivers for timely end-of-life discussions and decision making. Level of evidence: III; Prognostic.

Endovaginal sonographic imaging has been shown to reliably identify pelvic endometriosis, but most United States imaging practices do not adequately assess locations and features of endometriosis beyond ovarian endometrioma. In this article, we propose a protocol for sonographer-acquired images and maneuvers to be interpreted subsequently by sonologists (radiologists or gynecologists). The purpose is to improve the sensitivity of endovaginal sonography for the detection of endometriosis in imaging practices that involve the non-physician sonographer as part of their workflow.

To assess the impact of elevated blood pressure on the rate of major hemorrhagic complication after renal transplant biopsy.Pre-procedural systolic (SBP), diastolic (SBP), and mean arterial (MAP) blood pressure for consecutive patients undergoing US-guided renal transplant biopsies from 08/01/2015 to 7/31/2017 were retrospectively recorded. Patients who had a major bleeding complication were identified. The risk of complication as a function of SBP, DBP, and MAP was statistically analyzed, with significance set at p 0.05.Of 1689 biopsies, there were 10 bleeding complications (10/1689, 0.59%). There was no statistically significant difference between biopsies with complication compared to those without complication based on SBP (p = 0.351), DBP (p = 0.088), or MAP (p = 0.132). Using risk dichotomization criteria, the odds ratio for hemorrhagic complication when the patient had SBP ≥ 180 mmHg and DBP ≥ 95 mmHg was 75.63 (95% CI 6.87-516.8, p = 0.002).The rate of hemorrhagic complication from renal transplant biopsy is low, and there is no statistically significant threshold for increased biopsy risk based on SBP, DBP, or MAP alone. The risk of complication was significantly higher only when both the SBP is ≥ 180 mmHg and DBP is ≥ 95 mmHg.

The three stage model set forth by the ACGME, which provides a framework for pandemic residency program management, is insufficient and could best be expanded to 5 stages to include post-pandemic-peak residency program management. Stage 4, “Increased non-COVID clinical demands,” present the challenge of an increased clinical workload in the setting of social distancing while reengaging the educational mission of the residency program. In Stage 5, “Business as usual, redefined,” the residency program must learn to adapt to new challenges including uncertainty surrounding the American Board of Radiology (ABR) Core examination, uncertainty in the job market, and potential diminished medical student interest in radiology. Despite these challenges, this post-pandemic environment offers tremendous opportunity to build on and enhance the residency program now and into the future., Highlights • The ACGME’s 3 stage model as a framework for pandemic residency program management can best be expanded to five stages. • In stage 4, increased clinical demands will require attention by the program director to monitor its impact on the program. • In stage 5, the program director must deal with additional challenges in the post-COVID environment.

Pelvic ultrasound with endovaginal ultrasound is often the imaging test of choice in the initial evaluation of nonpregnant women with pelvic pain. This article considers the sonographic observations and techniques useful in diagnosis of a variety of gynecologic causes of pelvic pain in these women, including ovarian hemorrhage, ovarian torsion, pelvic inflammatory disease, endometriosis (particularly deeply infiltrating endometriosis), endometriomas, adenomyosis, pelvic congestion syndrome, and malpositioned intrauterine contraceptive devices. Sonographic observations regarding a number of non-gynecologic causes of pelvic pain are also described.

There are approximately 9.1 pelvic surgeries performed for every histologically confirmed adnexal malignancy in the United States, compared to 2.3 surgeries per malignancy (in oncology centers) and 5.9 surgeries per malignancy (in other centers) in Europe. An important prognostic factor in the long-term survival in patients with ovarian malignancy is the initial management by a gynecological oncologist. With high accuracy of imaging for adnexal mass characterization and consequent appropriate triage to subspecialty referral, the better use of gynecologic oncology can improve treatment outcomes. Ultrasound, including transabdominal, transvaginal, and duplex ultrasound, combined with MRI with contrast can diagnose adnexal masses as benign with specific features (ie, functional masses, dermoid, endometrioma, fibroma, pedunculated fibroid, hydrosalpinx, peritoneal inclusion cyst, Tarlov cyst), malignant, or indeterminate. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.

We have previously reported long-term changes in the brains of non-concussed varsity rugby players using magnetic resonance spectroscopy (MRS), diffusion tensor imaging (DTI) and functional magnetic imaging (fMRI). Others have reported cognitive deficits in contact sport athletes that have not met the diagnostic criteria for concussion. These results suggest that repetitive mild traumatic brain injuries (rmTBIs) that are not severe enough to meet the diagnostic threshold for concussion, produce long-term consequences. We sought to characterize the neuroimaging, cognitive, pathological and metabolomic changes in a mouse model of rmTBI. Using a closed-skull model of mTBI that when scaled to human leads to rotational and linear accelerations far below what has been reported for sports concussion athletes, we found that 5 daily mTBIs triggered two temporally distinct types of pathological changes. First, during the first days and weeks after injury, the rmTBI produced diffuse axonal injury, a transient inflammatory response and changes in diffusion tensor imaging (DTI) that resolved with time. Second, the rmTBI led to pathological changes that were evident months after the injury including: changes in magnetic resonance spectroscopy (MRS), altered levels of synaptic proteins, behavioural deficits in attention and spatial memory, accumulations of pathologically phosphorylated tau, altered blood metabolomic profiles and white matter ultrastructural abnormalities. These results indicate that exceedingly mild rmTBI, in mice, triggers processes with pathological consequences observable months after the initial injury. Supplementary Information The online version contains supplementary material available at 10.1186/s40478-021-01161-2.

OBJECTIVE. The purpose of this study was to analyze the timing of major bleeding complications after renal transplant biopsy in the context of a standardized 1-hour postprocedure observation protocol. MATERIALS AND METHODS. We retrospectively reviewed the electronic medical records for consecutive patients who underwent ultrasound-guided renal transplant biopsies between January 1, 2012, and December 31, 2017, and were observed according to a newly implemented 1-hour postprocedure observation protocol. The development of a major bleeding complication (Common Terminology Criteria for Adverse Events class 3 or higher) was recorded along with all available details regarding the time course of patient symptoms and presentation. Complications were grouped into one of four categories according to onset time after biopsy: 2 hours or less (timing category 1), more than 2 hours but 4 hours or less (timing category 2), more than 4 hours but 8 hours or less (timing category 3), and more than 8 hours (timing category 4). RESULTS. In 1824 patients (769 women, 1055 men) who underwent 4519 consecutive ultrasound-guided renal transplant biopsies during the study period, 11 class 3 complications were found (11/4519 [0.2%]). Four of the 11 patients (36.4%) had symptoms during the 1-hour observation period. Of these four patients, three (3/11 [27.3%]) had substantial symptoms related to major bleeding and were classified as timing category 1, and one (1/11 [9.1%]) had initially minor symptoms that increased in severity more than 2 hours but within 4 hours and was classified as timing category 2. Seven of the 11 patients (63.6%) did not have any symptoms at 1 hour of observation and were discharged; three (27.3%) were classified as timing category 3, and four (36.4%) were classified as category 4. CONCLUSION. Major bleeding complications following ultrasound-guided renal transplant biopsy are rare (0.2% of patients in this study). In our study, more than half were not clinically apparent within 4 hours of biopsy. A 1-hour postprocedure recovery period can be safely used after renal transplant biopsy.

Fine-needle aspiration (FNA) and core biopsy of masses in the neck predominantly include samples from thyroid nodules, parathyroids and lymph nodes. The diagnostic rate of a thyroid nodule FNA improves up to 6 passes and then does not significantly change. Thyroid FNA can be performed on patients who are anticoagulated. Appropriate transducer selection is essential for visualization of the needle. Lymph node biopsies can be additionally sampled for thyroglobulin assay to improve sensitivity for detection of recurrent carcinoma. Parathyroid FNA usually involves additional estimation of parathyroid hormone concentration in needle washouts. Biopsies of the neck are simple procedures with minimal complications.

Current descriptions of ultrasound evaluations, including use of the term "point-of-care ultrasound" (POCUS), are imprecise because they are predicated on distinctions based on the device used to obtain images, the location where the images were obtained, the provider who obtained the images, or the focus of the examination. This is confusing because it does not account for more meaningful distinctions based on the setting, comprehensiveness, and completeness of the evaluation. In this article, the Society of Radiologists in Ultrasound and the members of the American College of Radiology Ultrasound Commission articulate a map of the ultrasound landscape that divides sonographic evaluations into four distinct categories on the basis of setting, comprehensiveness, and completeness. Details of this classification scheme are elaborated, including important clarifications regarding what ensures comprehensiveness and completeness. Practical implications of this framework for future research and reimbursement paradigms are highlighted.

Objectives The study aim was to evaluate the diagnostic performance of the uterine sliding sign in predicting deeply infiltrating endometriosis in the setting of non-physician sonographers performing but not interpreting the maneuver. The impact of uterine sliding sign has not been previously demonstrated in this practice setting. Methods Physicians' remote interpretations of transvaginal ultrasound examinations in 2016, before uterine sliding sign, were compared to examinations in 2019 after addition of uterine sliding sign to determine the diagnostic rates. Surgical and histopathological results were reviewed to determine sensitivity and specificity of the respective exam techniques. Results Two hundred eighty-five transvaginal ultrasounds were performed in 2016 and 390 sliding sign ultrasounds in 2019. The number of deeply infiltrating endometriosis cases identified increased significantly from 2% to 6% during the study period (chi-square, Fisher's exact test p = .012). The sensitivity and specificity of routine pelvic sonography for detecting deeply infiltrating endometriosis improved from 36%/94% to 68%/98%. Conclusions Uterine sliding sign videos should be included in the standard sonographic protocol for patients presenting with chronic pelvic pain, endometriosis history, or sonographic evidence of endometriosis in the setting of physicians interpreting sonographic images obtained by non-physicians.

Rationale and Objectives The COVID-19 pandemic has forced rapid evolution of the healthcare environment. Efforts to mitigate the spread of the virus through social distancing and shelter-at-home edicts have unintended consequences upon clinical and educational missions and mental well-being of radiology departments. We sought to understand the impact of the COVID-19 pandemic on radiology residencies with respect to the educational mission and perceptions of impact on well-being. Materials and Methods This study was IRB exempt. An anonymous 22 question survey regarding the impact of COVID-19 pandemic on educational and clinical missions of residencies, its perceived impact upon morale of radiologists and trainees and a query of innovative solutions devised in response, was emailed to the Association of Program Directors in Radiology membership. Survey data were collected using SurveyMonkey (San Mateo, California). Results Respondents felt the COVID-19 pandemic has negatively impacted their residency programs. Regarding the educational mission impact, 70.1% (75/107) report moderate/marked negative impact and 2.8% (3/107) that educational activities have ceased. Regarding the pandemic's impact on resident morale, 44.8% (48/107) perceive moderate/marked negative effect; perceived resident morale in programs with redeployment is significantly worse with 57.1% (12/21) reporting moderate/marked decrease. Respondents overwhelmingly report adequate resident access to mental health resources during the acute phase of the pandemic (88.8%, 95/107). Regarding morale of program directors, 61% (65/106) report either mild or marked decreased morale. Program innovations reported by program directors were catalogued and shared. Conclusion The COVID-19 pandemic has markedly impacted the perceived well-being and educational missions of radiology residency programs across the United States.

Study Objective To evaluate the diagnostic accuracy and learning curve of a sonographic mapping protocol for deep endometriosis (DE). Design Retrospective cohort study (Canadian Task Force classification II-3). Setting Tertiary referral center in the United States. Patients 117 consecutive patients who presented to our gynecology clinic with complaints of significant noncyclic pelvic pain of at least 6 months' duration, and/or clinical findings concerning for deep endometriosis and who were referred for transvaginal ultrasound with bowel preparation. Interventions Patients underwent transvaginal ultrasound with bowel-preparation (TVUS-BP) performed by a single radiologist. Findings suspicious for DE were reported and correlated with surgical and histopathological findings. The duration of the examination and number of cases required to achieve proficiency were calculated for positive, equivocal, and negative findings. Measurements and Main Results Among 117 patients (median age, 35 years; range, 19–54 years) referred for TVUS-BP, 113 had complete examinations. Fifty-seven of these 113 patients underwent surgical exploration within 1 year, and DE was identified surgically in 23 of them. DE of the rectosigmoid colon and/or rectovaginal septum was detected with a sensitivity of 94% (95% confidence interval [CI], 70%–100%) and specificity of 100% (95% CI, 91%–100%). DE of the retrocervical region and/or uterosacral ligaments was detected with a sensitivity of 86% (95% CI, 65%–97%) and specificity of 94% (95% CI, 81%–99%). Proficiency, defined by a flattening of the learning curve, was achieved after 70 to 75 scans. The mean duration of the examination was 42 ± 4 minutes initially, but declined to 15 ± 4 minutes once proficiency was achieved. Cases of equivocal or minimal disease demonstrated the greatest decline in examination duration. Conclusion A newly applied TVUS-BP protocol for detection of pelvic DE is highly accurate and required only a modest learning curve to achieve procedural proficiency in a US tertiary referral center where physicians interpret but typically do not perform TVUS exams. Overcoming diagnostic uncertainty regarding minimal or equivocal disease appeared to be an important factor in the initial learning curve. With adequate training, TVUS-BP may be adapted as a primary diagnostic tool for detecting pelvic DE.