Adnexal Lesion Imaging: Past, Present, and Future.

Currently, imaging is part of the standard of care for patients with adnexal lesions prior to definitive management. Imaging can identify a physiologic finding or classic benign lesion that can be followed up conservatively. When one of these entities is not present, imaging is used to determine the probability of ovarian cancer prior to surgical consultation. Since the inclusion of imaging in the evaluation of adnexal lesions in the 1970s, the rate of surgery for benign lesions has decreased. More recently, data-driven Ovarian-Adnexal Reporting and Data System (O-RADS) scoring systems for US and MRI with standardized lexicons have been developed to allow for assignment of a cancer risk score, with the goal of further decreasing unnecessary interventions while expediting the care of patients with ovarian cancer. US is used as the initial modality for the assessment of adnexal lesions, while MRI is used when there is a clinical need for increased specificity and positive predictive value for the diagnosis of cancer. This article will review how the treatment of adnexal lesions has changed due to imaging over the decades; the current data supporting the use of US, CT, and MRI to determine the likelihood of cancer; and future directions of adnexal imaging for the early detection of ovarian cancer.

Synoptic Reporting for Pretreatment CT Examination in Patients With Advanced Ovarian Cancer: Impact on Documentation of Disease Sites and Physician Satisfaction.

BACKGROUND. Imaging reports that consistently document all disease sites with a potential to increase surgical complexity or morbidity can facilitate ovarian cancer treatment planning. OBJECTIVE. The aims of this study were to compare simple structured reports and synoptic reports from pretreatment CT examinations in patients with advanced ovarian cancer in terms of completeness of documenting involvement of clinically relevant anatomic sites as well as to evaluate physician satisfaction with synoptic reports. METHODS. This retrospective study included 205 patients (median age, 65 years) who underwent contrast-enhanced abdominopelvic CT before primary treatment of advanced ovarian cancer from June 1, 2018, to January 31, 2022. A total of 128 reports generated on or before March 31, 2020, used a simple structured report (free text organized into sections); 77 reports generated on or after April 1, 2020, used a synoptic report (a list of 45 anatomic sites relevant to ovarian cancer management, each of which was classified in terms of disease absence versus presence). Reports were reviewed for completeness of documentation of involvement of the 45 sites. For patients who underwent neoadjuvant chemotherapy based on diagnostic laparoscopy findings or underwent primary debulking surgery with suboptimal resection, the EMR was reviewed to identify surgically established sites of disease that were unresectable or challenging to resect. Gynecologic oncology surgeons were electronically surveyed. RESULTS. The mean report turnaround time was 29.8 minutes for simple structured reports versus 54.5 minutes for synoptic reports (p < .001). A mean of 17.6 of 45 sites (range, four to 43 sites) were mentioned by simple structured reports versus 44.5 of 45 sites (range, 39-45) for synoptic reports (p < .001). Forty-three patients had surgically established unresectable or challenging-to-resect disease; involvement of anatomic site(s) with such disease was mentioned in 37% (11/30) of simple structured reports versus 100% (13/13) of synoptic reports (p < .001). All eight surveyed gynecologic oncology surgeons completed the survey. CONCLUSION. A synoptic report improved completeness of pretreatment CT reports in patients with advanced ovarian cancer, including for established sites of unresectable or challenging-to-resect disease. CLINICAL IMPACT. The findings indicate the role of disease-specific synoptic reports in facilitating referrer communication and potentially guiding clinical decision-making.

Practical Tips for Reporting Adnexal Lesions Using O-RADS MRI.

The Ovarian-Adnexal Reporting and Data System (O-RADS) MRI risk stratification system provides a standardized lexicon and evidence-based risk score for evaluation of adnexal lesions. The goals of the lexicon and risk score are to improve report quality and communication between radiologists and clinicians, reduce variability in the reporting language, and optimize management of adnexal lesions. The O-RADS MRI risk score is based on the presence or absence of specific imaging features, including the lipid content, enhancing solid tissue, number of loculi, and fluid type. The probability of malignancy ranges from less than 0.5% when there are benign features to approximately 90% when there is solid tissue with a high-risk time-intensity curve. This information can aid in optimizing management of patients with adnexal lesions. The authors present an algorithmic approach to the O-RADS MRI risk stratification system and highlight key teaching points and common pitfalls. © RSNA, 2023 Quiz questions for this article are available in the supplemental material.

Differentiating Benign From Malignant Cystic Renal Masses: A Feasibility Study of Computed Tomography Texture-Based Machine Learning Algorithms.

OBJECTIVE: The Bosniak classification attempts to predict the likelihood of renal cell carcinoma (RCC) among cystic renal masses but is subject to interobserver variability and often requires multiphase imaging. Artificial intelligence may provide a more objective assessment. We applied computed tomography texture-based machine learning algorithms to differentiate benign from malignant cystic renal masses. METHODS: This is an institutional review board-approved, Health Insurance Portability and Accountability Act-compliant retrospective study of 147 patients (mean age, 62.4 years; range, 28-89 years; 94 men) with 144 cystic renal masses (93 benign, 51 RCC); 69 were pathology proven (51 RCC, 18 benign), and 75 were considered benign based on more than 4 years of stability at follow-up imaging. Using a single image from a contrast-enhanced abdominal computed tomography scan, mean, SD, mean value of positive pixels, entropy, skewness, and kurtosis radiomics features were extracted. Random forest, multivariate logistic regression, and support vector machine models were used to classify each mass as benign or malignant with 10-fold cross validation. Receiver operating characteristic curves assessed algorithm performance in the aggregated test data. RESULTS: For the detection of malignancy, sensitivity, specificity, positive predictive value, negative predictive value, and area under the curve were 0.61, 0.87, 0.72, 0.80, and 0.79 for the random forest model; 0.59, 0.87, 0.71, 0.79, and 0.80 for the logistic regression model; and 0.55, 0.86, 0.68, 0.78, and 0.76 for the support vector machine model. CONCLUSION: Computed tomography texture-based machine learning algorithms show promise in differentiating benign from malignant cystic renal masses. Once validated, these may serve as an adjunct to radiologists' assessments.

Computed Tomography Texture Analysis for Predicting Clinical Outcomes in Patients With Metastatic Renal Cell Carcinoma Treated With Immune Checkpoint Inhibitors.

BACKGROUND: The treatment responses of immune checkpoint inhibitors in metastatic renal cell carcinoma (mRCC) vary, requiring reliable prognostic biomarkers. We assessed the prognostic ability of computed tomography (CT) texture analysis in patients with mRCC treated with programmed death receptor-1 (PD-1)/programmed death ligand-1 (PD-L1) inhibitors. MATERIALS AND METHODS: Sixty-eight patients with mRCC treated with PD-1/PD-L1 inhibitors between 2012 and 2019 were revaluated. Using baseline and first follow-up CT, baseline and follow-up texture models were developed to predict overall survival (OS) and progression-free survival (PFS) using least absolute shrinkage and selection operator Cox-proportional hazards analysis. Patients were divided into high-risk or low-risk group, and the survival difference was assessed using Kaplan-Meier and log-rank test. Multivariable Cox models were constructed by including only the clinical variables (clinical models) and by combining the clinical variables and the texture models (combined clinical-texture models), and their predictive performance was evaluated using Harrell's C-index. RESULTS: The baseline texture models distinguished longer- and shorter-term survivors for both OS (median, 60.1 vs. 17.0 months; P = .048) and PFS (5.2 vs. 2.8 months; P = .003). The follow-up texture models distinguished longer- and shorter-term overall survivors (40.3 vs. 15.2 months; P = .008) but not for PFS (5.0 vs. 3.6 months; P = .25). The combined clinical-texture model outperformed the clinical model in both predicting the OS (C-index, 0.70 vs. 0.63; P = .03) and PFS (C-index, 0.63 vs. 0.55; P = .04). CONCLUSION: CT texture analysis performed at baseline and early after starting PD-1/PD-L1 inhibitors is associated with clinical outcomes of patients with mRCC.

Multicenter Evaluation of Multiparametric MRI Clear Cell Likelihood Scores in Solid Indeterminate Small Renal Masses.

Background Solid small renal masses (SRMs) (≤4 cm) represent benign and malignant tumors. Among SRMs, clear cell renal cell carcinoma (ccRCC) is frequently aggressive. When compared with invasive percutaneous biopsies, the objective of the proposed clear cell likelihood score (ccLS) is to classify ccRCC noninvasively by using multiparametric MRI, but it lacks external validation. Purpose To evaluate the performance of and interobserver agreement for ccLS to diagnose ccRCC among solid SRMs. Materials and Methods This retrospective multicenter cross-sectional study included patients with consecutive solid (≥25% approximate volume enhancement) SRMs undergoing multiparametric MRI between December 2012 and December 2019 at five academic medical centers with histologic confirmation of diagnosis. Masses with macroscopic fat were excluded. After a 1.5-hour training session, two abdominal radiologists per center independently rendered a ccLS for 50 masses. The diagnostic performance for ccRCC was calculated using random-effects logistic regression modeling. The distribution of ccRCC by ccLS was tabulated. Interobserver agreement for ccLS was evaluated with the Fleiss κ statistic. Results A total of 241 patients (mean age, 60 years ± 13 [SD]; 174 men) with 250 solid SRMs were evaluated. The mean size was 25 mm ± 8 (range, 10-39 mm). Of the 250 SRMs, 119 (48%) were ccRCC. The sensitivity, specificity, and positive predictive value for the diagnosis of ccRCC when ccLS was 4 or higher were 75% (95% CI: 68, 81), 78% (72, 84), and 76% (69, 81), respectively. The negative predictive value of a ccLS of 2 or lower was 88% (95% CI: 81, 93). The percentages of ccRCC according to the ccLS were 6% (range, 0%-18%), 38% (range, 0%-100%), 32% (range, 60%-83%), 72% (range, 40%-88%), and 81% (range, 73%-100%) for ccLSs of 1-5, respectively. The mean interobserver agreement was moderate (κ = 0.58; 95% CI: 0.42, 0.75). Conclusion The clear cell likelihood score applied to multiparametric MRI had moderate interobserver agreement and differentiated clear cell renal cell carcinoma from other solid renal masses, with a negative predictive value of 88%. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Mileto and Potretzke in this issue.

Ovarian cancer reporting lexicon for computed tomography (CT) and magnetic resonance (MR) imaging developed by the SAR Uterine and Ovarian Cancer Disease-Focused Panel and the ESUR Female Pelvic Imaging Working Group.

OBJECTIVES: Imaging evaluation is an essential part of treatment planning for patients with ovarian cancer. Variation in the terminology used for describing ovarian cancer on computed tomography (CT) and magnetic resonance (MR) imaging can lead to ambiguity and inconsistency in clinical radiology reports. The aim of this collaborative project between Society of Abdominal Radiology (SAR) Uterine and Ovarian Cancer (UOC) Disease-focused Panel (DFP) and the European Society of Uroradiology (ESUR) Female Pelvic Imaging (FPI) Working Group was to develop an ovarian cancer reporting lexicon for CT and MR imaging. METHODS: Twenty-one members of the SAR UOC DFP and ESUR FPI working group, one radiology clinical fellow, and two gynecologic oncology surgeons formed the Ovarian Cancer Reporting Lexicon Committee. Two attending radiologist members of the committee prepared a preliminary list of imaging terms that was sent as an online survey to 173 radiologists and gynecologic oncologic physicians, of whom 67 responded to the survey. The committee reviewed these responses to create a final consensus list of lexicon terms. RESULTS: An ovarian cancer reporting lexicon was created for CT and MR Imaging. This consensus-based lexicon has 6 major categories of terms: general, adnexal lesion-specific, peritoneal carcinomatosis-specific, lymph node-specific, metastatic disease -specific, and fluid-specific. CONCLUSIONS: This lexicon for CT and MR imaging evaluation of ovarian cancer patients has the capacity to improve the clarity and consistency of reporting disease sites seen on imaging. KEY POINTS: • This reporting lexicon for CT and MR imaging provides a list of consensus-based, standardized terms and definitions for reporting sites of ovarian cancer on imaging at initial diagnosis or follow-up. • Use of standardized terms and morphologic imaging descriptors can help improve interdisciplinary communication of disease extent and facilitate optimal patient management. • The radiologists should identify and communicate areas of disease, including difficult to resect or potentially unresectable disease that may limit the ability to achieve optimal resection.

Multidisciplinary Recommendations Regarding Post-Vaccine Adenopathy and Radiologic Imaging: Radiology Scientific Expert Panel.

Vaccination-associated adenopathy is a frequent imaging finding after administration of COVID-19 vaccines that may lead to a diagnostic conundrum in patients with manifest or suspected cancer, in whom it may be indistinguishable from malignant nodal involvement. To help the medical community address this concern in the absence of studies and evidence-based guidelines, this special report offers recommendations developed by a multidisciplinary panel of experts from three of the leading tertiary care cancer centers in the United States. According to these recommendations, some routine imaging examinations, such as those for screening, should be scheduled before or at least 6 weeks after the final vaccination dose to allow for any reactive adenopathy to resolve. However, there should be no delay of other clinically indicated imaging (eg, for acute symptoms, short-interval treatment monitoring, urgent treatment planning or complications) due to prior vaccination. The vaccine should be administered on the side contralateral to the primary or suspected cancer, and both doses should be administered in the same arm. Vaccination information-date(s) administered, injection site(s), laterality, and type of vaccine-should be included in every preimaging patient questionnaire, and this information should be made readily available to interpreting radiologists. Clear and effective communication between patients, radiologists, referring physician teams, and the general public should be considered of the highest priority when managing adenopathy in the setting of COVID-19 vaccination.

Assessment of Renal Cell Carcinoma by Texture Analysis in Clinical Practice: A Six-Site, Six-Platform Analysis of Reliability.

BACKGROUND. Multiple commercial and open-source software applications are available for texture analysis. Nonstandard techniques can cause undesirable variability that impedes result reproducibility and limits clinical utility. OBJECTIVE. The purpose of this study is to measure agreement of texture metrics extracted by six software packages. METHODS. This retrospective study included 40 renal cell carcinomas with contrast-enhanced CT from The Cancer Genome Atlas and Imaging Archive. Images were analyzed by seven readers at six sites. Each reader used one of six software packages to extract commonly studied texture features. Inter- and intrareader agreement for segmentation was assessed with intraclass correlation coefficients (ICCs). First-order (available in six packages) and second-order (available in three packages) texture features were compared between software pairs using Pearson correlation. RESULTS. Inter- and intrareader agreement was excellent (ICC, 0.93-1). First-order feature correlations were strong (r ≥ 0.8, p < .001) between 75% (21/28) of software pairs for mean intensity and SD, 48% (10/21) for entropy, 29% (8/28) for skewness, and 25% (7/28) for kurtosis. Of 15 second-order features, only cooccurrence matrix correlation, gray-level nonuniformity, and run-length nonuniformity showed strong correlation between software packages (r = 0.90-1, p < .001). CONCLUSION. Variability in first- and second-order texture features was common across software configurations and produced inconsistent results. Standardized algorithms and reporting methods are needed before texture data can be reliably used for clinical applications. CLINICAL IMPACT. It is important to be aware of variability related to texture software processing and configuration when reporting and comparing outputs.

A model combining clinical and genomic factors to predict response to PD-1/PD-L1 blockade in advanced urothelial carcinoma.

BACKGROUND: In metastatic urothelial carcinoma (mUC), predictive biomarkers that correlate with response to immune checkpoint inhibitors (ICIs) are lacking. Here, we interrogated genomic and clinical features associated with response to ICIs in mUC. METHODS: Sixty two mUC patients treated with ICI who had targeted tumour sequencing were studied. We examined associations between candidate biomarkers and clinical benefit (CB, any objective reduction in tumour size) versus no clinical benefit (NCB, no change or objective increase in tumour size). Both univariable and multivariable analyses for associations were conducted. A comparator cohort of 39 mUC patients treated with taxanes was analysed by using the same methodology. RESULTS: Nine clinical and seven genomic factors correlated with clinical outcomes in univariable analysis in the ICI cohort. Among the 16 factors, neutrophil-to-lymphocyte ratio (NLR) ≥5 (OR = 0.12, 95% CI, 0.01-1.15), visceral metastasis (OR = 0.05, 95% CI, 0.01-0.43) and single-nucleotide variant (SNV) count < 10 (OR = 0.04, 95% CI, 0.006-0.27) were identified as independent predictors of NCB to ICI in multivariable analysis (c-statistic = 0.90). None of the 16 variables were associated with clinical benefit in the taxane cohort. CONCLUSIONS: This three-factor model includes genomic (SNV count >9) and clinical (NLR <5, lack of visceral metastasis) variables predictive for benefit to ICI but not taxane therapy for mUC. External validation of these hypothesis-generating results is warranted to enable use in routine clinical care.

The Safety and Efficacy of Checkpoint Inhibitors in Transplant Recipients: A Case Series and Systematic Review of Literature.

Limited data exist on safety and efficacy of immune checkpoint inhibitors (ICIs) among organ transplant recipients. The objective of this study was to report a case series of two patients with renal transplant who received treatment with an ICI and to conduct a pooled analysis of published cases to describe the safety and efficacy of ICIs in organ transplant patients. A systematic search in the Google Scholar and PubMed databases was carried out to include all the published cases of organ transplant patients who received treatment with ICIs including programmed cell death protein 1 (PD-1), programmed death-ligand 1, or cytotoxic lymphocyte antigen-4 inhibitors since their inscription to January 31, 2019. In the present series of two cases with renal allografts who received pembrolizumab, one patient with squamous cell carcinoma of the skin experienced complete response (CR), whereas another patient with melanoma had a mixed response. Both patients experienced allograft rejection, but graft was salvaged. The pooled analysis of 64 patients published in literature showed that overall allograft rejection rate is 41% in organ transplant recipients following ICI therapy. The graft rejection rate was 44% (17/39) for renal, 39% (7/19) for liver, and 20% (1/5) for cardiac allografts. The highest risk was seen among patients who were treated with PD-1 inhibitors, 20/42 (48%)-13/24 (54%) on nivolumab and 7/18 (39%) on pembrolizumab. The risk was lowest with ipilimumab, 23% (3/13). The overall response rate (CR + partial response [PR]) was 20% with ipilimumab, 26% with nivolumab, and 53% with pembrolizumab, whereas disease control rate (CR + PR + stable disease) was 35% with ipilimumab, 37% with nivolumab, and 53% with pembrolizumab. None of the variables including age, gender, type of cancer, type of allograft, type of immunosuppression, time since transplantation to initiation of ICI, and prior history of rejection were significantly associated with the transplant rejection on univariate analysis. The efficacy of ICI among patients with organ transplant appears promising, warranting testing in prospective clinical trials. The risk of rejection and allograft loss is considerable; therefore, the risk and alternative form of therapies should be thoroughly discussed with the transplant patients prior to initiating ICI therapy. IMPLICATIONS FOR PRACTICE: Transplant recipients are at higher risk of developing cancers. Although immune checkpoint inhibitors have been shown to improve the outcome in more than one cancer type, transplant recipients were excluded from these trials. Most of the data on the safety and efficacy of immune checkpoint inhibitors in transplant patients are based upon case series and case reports. The pooled data from these reports suggest that anti-programmed death-ligand 1 inhibitors have reasonable safety and efficacy among organ transplant patients, which warrants testing in clinical trials.

Muscle-invasive Urothelial Cancer: Association of Mutational Status with Metastatic Pattern and Survival.

Background Muscle-invasive urothelial cancer (MIUC) is characterized by substantial genetic heterogeneity and high mutational frequency. Correlation between frequently mutated genes with clinical behavior has been recently demonstrated. Nonetheless, correlation between mutational status of MIUC and metastatic pattern is unknown. Purpose To investigate the association of mutational status of MIUC with metastatic pattern, metastasis-free survival (MFS), and overall survival (OS). Materials and Methods This single-center retrospective study evaluated consecutive patients with biopsy-proven MIUC who underwent serial cross-sectional imaging (CT, MRI, or fluorine 18 fluorodeoxyglucose PET/CT) between April 2010 and December 2018. Mutational status was correlated with location of metastases using the χ2 or Fisher exact test. Mutational status and metastatic pattern were correlated with MFS and OS using univariable Cox proportional hazard models. High-risk (presence of TP53, RB1, or KDM6A mutation) and low-risk (presence of ARID1A, FGFR3, PIK3CA, STAG2, and/or TSC1 mutation and absence of TP53, RB1, or KDM6A mutation) groups were determined according to existing literature and were correlated with MFS and OS by using multivariable Cox proportional hazard models. Results One hundred three patients (mean age, 72 years ± 11 [standard deviation]; 81 men) were evaluated. Seventeen of 103 (16%) patients had metastatic disease at diagnosis; 38 of 103 (37%) developed metastatic disease at a median of 5.9 months (interquartile range, 0.8-28 months). TP53 mutation (seen in 58 of 103 patients, 56%) was associated with lymphadenopathy (relative risk [RR]: 1.7; 95% confidence interval [CI]: 1.2, 2.4; P = .002) and osseous metastases (RR: 1.9; 95% CI: 1.6, 2.3; P = .02); RB1 mutation (seen in 19 of 103 patients, 18.4%) was associated with peritoneal carcinomatosis (RR: 5.9; 95% CI: 3.8, 9.2; P = .03). ARID1A mutation was associated with greater OS (hazard ratio [HR]: 3.1; 95% CI: 1.2, 10; P = .01). At multivariable Cox analysis, the high-risk group (TP53, RB1, and/or KDM6A mutations) was independently associated with shorter MFS (HR: 3.5, 95% CI: 1.3, 12; P = .009) and shorter OS (HR: 3.1; 95% CI: 1.2, 10; P = .02). Conclusion Mutational status of muscle-invasive urothelial cancer has implications on metastatic pattern, metastasis-free survival, and overall survival. © RSNA, 2020 Online supplemental material is available for this article. See also the editorial by Choyke in this issue.

Plasma cell-free DNA variant analysis compared with methylated DNA analysis in renal cell carcinoma.

PURPOSE: Plasma cell-free DNA (cfDNA) variant analysis is commonly used in many cancer subtypes. Cell-free methylated DNA immunoprecipitation sequencing (cfMeDIP-seq) has shown high sensitivity for cancer detection. To date, studies have not compared the sensitivity of both methods in a single cancer subtype. METHODS: cfDNA from 40 metastatic RCC (mRCC) patients was subjected to targeted panel variant analysis. For 34 of 40, cfMeDIP-seq was also performed. A separate cohort of 38 mRCC patients were used in cfMeDIP-seq analysis to train an RCC classifier. RESULTS: cfDNA variant analysis detected 21 candidate variants in 11 of 40 mRCC patients (28%), after exclusion of 2 germline variants and 6 variants reflecting clonal hematopoiesis. Among 23 patients with parallel tumor sequencing, cfDNA analysis alone identified variants in 9 patients (39%), while cfDNA analysis focused on tumor sequencing variant findings improved the sensitivity to 52%. In 34 mRCC patients undergoing cfMeDIP-seq, cfDNA variant analysis identified variants in 7 (21%), while cfMeDIP-seq detected all mRCC cases (100% sensitivity) with 88% specificity in 34 control subjects. In 5 patients with cfDNA variants and serial samples, variant frequency correlated with response to therapy. CONCLUSION: cfMeDIP-seq is significantly more sensitive for mRCC detection than cfDNA variant analysis. However, cfDNA variant analysis may be useful for monitoring response to therapy.

Effect of a Report Template-Enabled Quality Improvement Initiative on Use of Preferred Phrases for Communicating Normal Findings in Structured Abdominal CT and MRI Reports.

OBJECTIVE. The objective of this study was to assess impact of a report template quality improvement (QI) initiative on use of preferred phrases for communicating normal findings in structured abdominal CT and MRI reports. SUBJECTS AND METHODS. This prospective QI initiative, designed to decrease use of equivocal phrases and increase use of preferred and acceptable phrases (defined by multidisciplinary experts including patient advocates) in radiology reports, was performed in an academic medical center with over 800,000 annual radiologic examinations and was exempt from institutional review board approval. The intervention populated the preferred term "normal" (default) and acceptable specified pertinent negative phrases (pick-list option) when describing abdominal organ subheadings (liver, pancreas, spleen, adrenal glands, kidneys) within the "Findings" heading of abdominal CT and MRI report templates. We tabulated frequencies of the term "normal", specified pertinent negatives, and equivocal phrases in 21,629 reports before (June 1, 2017, to February 28, 2018) and 23,051 reports after (April 1, 2018, to December 31, 2018) the intervention using natural language processing and recorded trainee participation in report generation. We assessed intervention impact using statistical process control (SPC) charts and the Fisher exact test. RESULTS. Equivocal phrases were used less frequently in abdominal CT and MRI reports for both attending radiologists and trainees after the intervention (p < 0.05, SPC). Use of the term "normal" increased for reports generated by attending radiologists alone but decreased for reports created with trainee participation (p < 0.05, SPC). Frequency of pertinent negatives increased for reports with trainee participation (p < 0.05, SPC). CONCLUSION. A QI intervention decreased use of equivocal terms and increased use of preferred and acceptable phrases when communicating normal findings in abdominal CT and MRI reports.

Bosniak Classification of Cystic Renal Masses, Version 2019: An Update Proposal and Needs Assessment.

Cystic renal cell carcinoma (RCC) is almost certainly overdiagnosed and overtreated. Efforts to diagnose and treat RCC at a curable stage result in many benign neoplasms and indolent cancers being resected without clear benefit. This is especially true for cystic masses, which compared with solid masses are more likely to be benign and, when malignant, less aggressive. For more than 30 years, the Bosniak classification has been used to stratify the risk of malignancy in cystic renal masses. Although it is widely used and still effective, the classification does not formally incorporate masses identified at MRI or US or masses that are incompletely characterized but are highly likely to be benign, and it is affected by interreader variability and variable reported malignancy rates. The Bosniak classification system cannot fully differentiate aggressive from indolent cancers and results in many benign masses being resected. This proposed update to the Bosniak classification addresses some of these shortcomings. The primary modifications incorporate MRI, establish definitions for previously vague imaging terms, and enable a greater proportion of masses to enter lower-risk classes. Although the update will require validation, it aims to expand the number of cystic masses to which the Bosniak classification can be applied while improving its precision and accuracy for the likelihood of cancer in each class.

Atypical Response Patterns in Patients Treated With Nivolumab.

OBJECTIVE. The purpose of this study is to assess the frequency of atypical response patterns in oncology patients treated with the programmed cell death protein-1 inhibitor nivolumab. MATERIALS AND METHODS. This retrospective study included 254 patients treated with nivolumab alone or in combination, from January 2013 through August 2017. A blinded reader prospectively assessed treatment response. Among 166 patients (65%) who experienced a clinical benefit (defined as stable disease, partial response, or complete response as the best response), four response patterns were identified: pattern 1 is a decrease or less than 20% increase in the sum of the longest dimension (SLD) without a return to below the nadir, pattern 2 is a 10-19% increase in SLD with a return to below the nadir, pattern 3 is a 20% or greater increase in SLD with a return to below the nadir (classic pseudoprogression), and pattern 4 is the development of new lesions with a decrease in SLD lasting through at least two consecutive scans. Patterns 2, 3, and 4 were defined as atypical response patterns. RESULTS. Of 166 patients who experienced a clinical benefit, pattern 1 was seen in 133 (80%), pattern 2 was seen in 15 (9%), pattern 3 was seen in two (1%), and pattern 4 was seen in 16 (10%) patients. Thus, atypical response patterns were seen in 33 (20%) patients who experienced a clinical benefit, including 25 of 91 (27%) taking nivolumab and ipilimumab combined, six of 46 (13%) taking nivolumab alone, and two of 29 (7%) taking a combination of nivolumab and another chemotherapeutic agent (p = 0.02). CONCLUSION. Although classic pseudoprogression was rare, an atypical response was seen in 20% of patients who experienced a clinical benefit, and a delayed response up to 24 months of therapy may be seen. Radiologists should be aware of these atypical patterns to avoid errors in response assessment.

Impact of a Multifaceted Information Technology-Enabled Intervention on the Adoption of ACR White Paper Follow-Up Recommendations for Incidental Adnexal Lesions Detected on CT.

OBJECTIVE. The objective of our study was to improve adherence to American College of Radiology (ACR) white paper follow-up imaging recommendations for incidental adnexal lesions seen on pelvic CT (herein referred to as "adherence rate to recommendations"). MATERIALS AND METHODS. This quality improvement project was conducted at a large academic teaching hospital. The baseline adherence rate to recommendations was assessed by screening all pelvic CT reports for the period from October 22, 2016, through December 22, 2016, for incidental adnexal findings, followed by manual review. Forty abdominal and cancer imaging radiologists were surveyed to understand the barriers to adoption of the recommendations. Interventions to address the most common identified barriers were implemented on December 23, 2016. The postintervention adherence rate was assessed from December 23, 2016, through February 15, 2017, by again screening CT pelvis reports for incidental adnexal lesions followed by manual review. The change in pre- and postintervention adherence rates was assessed using the Fisher exact test and statistical process control (SPC) p-chart with 3-sigma control limits. RESULTS. The adherence rate to recommendations at baseline was 67% (121/181). Of the 28 of 40 (70%) radiologists who completed the survey, only 29% (8/28) often or consistently used the recommendations. Not remembering the details of the recommendations or not having time to look them up accounted for 83.3% of the barriers cited by radiologists. Interventions consisted of radiologist education and creation of an easily accessible clinical decision support tool incorporated into radiology reporting workflow. The adherence rate to recommendations after the intervention increased to 87% (129/148; p < 0.0001), as also shown by the SPC chart. CONCLUSION. The rate of adherence to follow-up imaging recommendations significantly increased after radiologist education and incorporation of recommendations into the radiologist workflow.

Radiology Report Template Optimization at an Academic Medical Center.

OBJECTIVE. Variability in reports of the same imaging study performed at the same institution may be confusing to referrers and patients, hindering results communication. The purpose of this study was to introduce a quality improvement initiative aimed at reducing variation in radiology report templates at a large academic center. MATERIALS AND METHODS. The quality improvement initiative was undertaken at a large multisite, multidivision academic radiology practice performing more than 820,000 radiologic examinations annually. A project charter defined the goals, scope, and personnel of the initiative and an escalation pathway for conflict resolution. Standard requirements for templates were initially developed. From September 2017 to May 2018, an oversight committee (24 organ system and modality-based work groups with representatives from nine subspecialty divisions) reviewed and harmonized all institutional radiology report templates across the enterprise irrespective of the imaging site or division that interpreted the study. The primary outcome measure was percentage reduction in report templates after harmonization. The secondary outcome measure was monthly adherence to harmonized templates for 9 months after implementation assessed by manual review of 40 randomly selected reports per month. The paired t test was used to assess template reduction, and the chi-square trend test was used to study trend in adherence to harmonized templates. RESULTS. Among 19,687 total templates at baseline, 597 harmonized templates remained after harmonization (p < 0.001). There was variation in template reduction by work group (multiple p < 0.05; reduction range, 79.2-99.3%). Radiologist adherence to harmonized templates ranged from 88.0% to 100%, unchanged in the 9 months after implementation (p = 0.23, chi-square trend). CONCLUSION. A radiology report harmonization initiative reduced 97.0% of report templates with a sustained high degree of adherence to harmonized templates after implementation at a large multisite multidivision academic radiology practice.

Use of Quantitative T2-Weighted and Apparent Diffusion Coefficient Texture Features of Bladder Cancer and Extravesical Fat for Local Tumor Staging After Transurethral Resection.

OBJECTIVE. The purpose of this study was to determine whether quantitative T2-weighted imaging and apparent diffusion coefficient (ADC) texture features of bladder cancer and extravesical fat are predictive of muscle invasive bladder cancer (category ≥ T2) and extravesical (category ≥ T3) disease after transurethral resection of a bladder tumor (TURBT). MATERIALS AND METHODS. In this retrospective study, 36 patients (27 men, nine women; mean age, 71 years) were identified who underwent post-TURBT MRI followed by cystectomy without intervening treatment from August 2011 through October 2016. Texture features of bladder cancer and extravesical fat adjacent to the tumor on T2-weighted and ADC images were extracted and compared between category ≤ T2 versus ≥ T3 and category T1 versus ≥ T2 tumors by means of Kruskal-Wallis or Mann-Whitney U test. Multivariate logistic regression analysis was performed, and ROC curves were calculated. RESULTS. Twenty-six of the 36 (72%) tumors were ≥ T2, and 53% (19/36) were ≥ T3. In multivariate analysis, bladder cancer entropy on T2-weighted images (p = 0.006; odds ratio [OR], 4.56; 95% CI, 1.49-20.41; AUC, 0.85) and ADC maps (p = 0.019; OR, 2.24; 95% CI, 1.13-5.31; AUC, 0.80) and extravesical fat entropy on T2-weighted images (p = 0.005; OR, 17.50; 95% CI, 3.01-200.80; AUC, 0.84) and ADC maps (p = 0.002; OR, 6.54; 95% CI, 1.90-32.40; AUC, 0.82) remained greater for ≥ T3 than for ≤ T2 tumors. In multivariate analysis, bladder cancer entropy on ADC maps (p = 0.027; OR, 2.11; 95% CI, 1.08-5.03; AUC, 0.76) and extravesical fat entropy on T2-weighted images (p = 0.010; OR, 5.33; 95% CI, 1.25-3.79; AUC, 0.78) and ADC maps (p = 0.029; OR, 3.80; 95% CI, 1.25-16.97; AUC, 0.74) remained greater for category ≥ T2 compared with category T1 tumors. CONCLUSION. Greater entropy of primary bladder cancers and extravesicular fat was observed in category ≥ T3 than in category ≤ T2 and in category ≥ T2 than in category T1 tumors. MRI texture analysis can help with local bladder cancer staging in patients who have undergone TURBT and may serve as a biomarker for higher local category bladder cancers.

Focal Liver Uptake on FDG PET/CT Without CT Correlate: Utility of MRI in the Evaluation of Patients With Known Malignancy.

OBJECTIVE. The purpose of this study was to determine the significance and utility of MRI in evaluation of focal hepatic uptake on FDG PET/CT without a CT correlate in patients with known malignancy. MATERIALS AND METHODS. In this retrospective study, we identified 36 of 1851 patients between 2005 and 2012 with known malignancy (19 women, 17 men; mean age, 56.1 years old) who had focal hepatic uptake on FDG PET/CT without a CT correlate and follow-up MRI within 100 days for assessment of uptake. Two radiologists reviewed the FDG PET/CT images together, reached consensus about presence of focal hepatic uptake, and measured maximum standardized uptake value (SUVmax) of the focal uptake and background liver. MR images were then reviewed to identify any correlate. Follow-up imaging and histopathologic data were reviewed to confirm or refute metastasis. Statistical correlation between intensity of FDG uptake and presence of focal lesions on MRI was performed. RESULTS. Fifty sites of focal hepatic uptake without CT correlate were identified. The median SUVmax was 4.1 (range, 2.1-10.1), whereas the ratio of median SUVmax of the hepatic lesion to that of normal parenchyma was 1.3 (range, 0.98-2.6). MRI confirmed focal lesions in 26 of 50 sites (52%). Seventy-seven percent of cases of hepatic uptake with an MRI correlate (20/26) were confirmed as metastatic disease (six cases at histopathology). Therefore, 40% of cases of hepatic uptake without a CT correlate (20/50) were metastases. We found no statistically significant difference in the SUVmax of hepatic lesions and SUVmax ratio between the groups with and without an MRI correlate (median SUVmax = 3.85 vs 4.2, p = 0.5; SUVmax ratio = 1.32 vs 1.31, p = 0.97) as well as between the groups with the final diagnosis of benign lesions and metastasis (SUVmax = 4.05 vs 3.95, p = 0.64; SUVmax ratio = 1.31 vs 1.32, p = 0.91). CONCLUSION. More than half of the cases of focal hepatic uptake on PET/CT without a CT correlate had an MRI correlate in our study, and more than 75% of these lesions were metastases, regardless of SUVmax.