"My attending really wants it!" Manual clinical decision support adjudicating the "better look" inpatient MRI at an academic medical center.

OBJECTIVE: MRI utilization in the United States is relatively higher than in other parts of the world and inpatient MRI utilization is particularly difficult to manage given the lack of direct reimbursement. Body MRI studies present an opportunity to reduce inpatient MRI utilization since they are generally the least emergent. Our objective was to use a targeted questionnaire to probe the necessity of inpatient body MRI orders and present an opportunity to either cancel them or transition them to the outpatient realm METHODS: A 9-item questionnaire was devised asking questions about the urgency of the inpatient MRI order including the urgent management question, an inpatient procedure or whether it was recommended by a consultant. Peer-to-peer discussion walking through each of the questions was conducted by radiology housestaff with the ordering clinicians and responses recorded. RESULTS: 845 recorded responses reported a lack of specific clinical question in 23.9% of orders, 68.9% were recommended by a non-radiology consulting service and 16.1% were recommended by radiology studies. 17.0% orders were felt to be outpatient appropriate and 23.3% were considered possibly appropriate for the outpatient setting. 3.9% were canceled and 4.9% were transitioned to outpatient orders. DISCUSSION: Engaging in a focused discussion about the urgency and appropriateness of an inpatient MRI body order following a list of scripted questions has the potential to reduce utilization. This approach also highlights the relatively high rate of indication uncertainty among ordering clinicians and the central role of consultants in prompting orders.

The Early-Enhancing Hepatic Vein: Differentiating Focal Nodular Hyperplasia and Hepatic Adenoma With Pathologic Validation in MRI.

BACKGROUND: Focal nodular hyperplasia (FNH) and hepatic adenoma (HA) are two common benign liver lesions with different management options. In particular, resection is considered for large HA lesions to avoid possible bleeding complications or rarely malignant degeneration. PURPOSE: To determine whether early enhancement of a draining hepatic vein (EDHV) and absence of perilesional enhancement (PLE) on arterial phase MR images are useful for distinguishing FNH from HA. STUDY TYPE: Retrospective. POPULATION: A total of 34 patients: 16 with FNH and 18 with HA lesions. FIELD STRENGTH/SEQUENCE: A1.5 T, axial T1 fat-suppressed arterial postcontrast. ASSESMENT: Four abdominal radiologists blinded to pathologic diagnosis assessed for the presence or absence of EDHV in association with the lesion, definitively characterized by pathology. This was considered present if contrast could be identified in a hepatic vein contiguous with the lesion in question. Secondarily, PLE was evaluated. STATISTICAL TESTS: Fleiss's multirater kappa statistic, Chi-squared statistic, Phi-coefficient. Significance level P < 0.05. RESULTS: Considering all observations obtained from the four readers, an EDHV was identified with FNH 48.5% of the time. EDHV was seen with HA in 8.8% of cases. PLE was seen with significantly greater frequency in HA. The presence of an EDHV was associated with the absence of PLE. DATA CONCLUSION: In a lesion that may be either an FNH or HA, confident identification on arterial phase images of an EDHV should lead the reader to favor FNH, while the presence PLE should dissuade the reader from FNH. EVIDENCE LEVEL: 4. TECHNICAL EFFICACY: Stage 2.

Volumetric Quantitative Contrast-enhanced Ultrasonography Evaluation of Complex Renal Cysts: An Adjunctive Metric to the Bosniak Classification System to Predict Malignancy.

BACKGROUND: Management of complex renal cysts is guided by the Bosniak classification system, which may be inadequate for risk stratification of patients for intervention. Fractional tumor vascularity (FV) calculated from volumetric contrast-enhanced ultrasound (CEUS) images may provide additional useful information. OBJECTIVE: To evaluate CEUS and FV calculation for risk stratification of patients with complex renal cysts. DESIGN, SETTING, AND PARTICIPANTS: This was a pilot prospective study with institutional review board approval involving patients undergoing surgery for Bosniak IIF-IV complex renal cysts. CEUS was performed preoperatively on the day of surgery with two-dimensional (2D) and three-dimensional (3D) imaging and sulfur hexafluoride lipid-type A microspheres as the ultrasound contrast agent. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: A custom MATLAB program was used to select regions of interest on CEUS scans. FV was calculated according to FV = 1 - (total nonenhancing area/total lesion area). We assessed the ability of 2D- and 3D-derived percentage FV (2DFV%, and 3DFV%) and Bosniak classification schemes (pre-2019 [P2019B] and post-2019 [B2019]) to predict malignancy, aggressive histology, and upstaging on surgical pathology. Performance was assessed as area under the receiver operating characteristic curve (AUC). RESULTS AND LIMITATIONS: Twenty eligible patients were included in final analysis, of whom 85% (n = 17) had Bosniak IV cysts and 85% (n = 17) had malignant disease on final pathology. Four (24%) of the malignant lesions were International Society of Urological Pathology grade 3-4. The AUC for predicting malignancy was 0.980, 0.824, 0.863, and 0.824 with P2019B, B2019, 2DFV%, and 3DFV%, respectively. When the Bosniak classification was combined with FV%, three models had an AUC of 1, while the combined 2DFV% + B2019 model had AUC of 0.980. CONCLUSIONS: FV is a novel metric for evaluating complex cystic renal masses and enhances the ability of the Bosniak classification system to predict malignancy. This metric may serve as an adjunct in risk stratification for surgical intervention. Further prospective evaluation is warranted. PATIENT SUMMARY: Cysts in the kidney are currently classified using a scheme called the Bosniak system. We assessed measurement of the percentage of vascular tissue (called fractional vascularity) in cysts on a special type of ultrasound scan. This promising test adds information when combined with the Bosniak system and can help in guiding appropriate treatment.

Restructuring Radiology Education to Improve Imaging Specificity.

Quotes such as "an ounce of prevention is worth a pound of cure" (Benjamin Franklin) and "a good doctor cures the disease, but a great doctor cures the cause" (Amit Kalantri), are poignant reminders of the overwhelming power of preventive medicine on population health. Why, then, would it not be that the health of our medical system would not benefit from the same sort of ideas? Medical imaging is considered over utilized and numerous strategies have attempted to address this including "Choosing Wisely," American College of Radiology appropriateness criteria, clinical decision support instruments and others. Most of these have been partially successful, but none have yet to turn the tide of over imaging. Here, we propose a multipronged strategy to target education of all audiences - medical students, residents/fellows, and practicing physicians. Education on the breadth of imaging options, the limitations of radiology tests, when not to image, as well as when to use highly specific imaging tests, here serves as the preventive measure to curb the spread of overutilization.

Interpreting body MRI cases: classic findings in pelvic MRI.

The high contrast resolution provided by magnetic resonance imaging (MRI) compared to all other modalities allows the interpreting radiologist to make a specific diagnosis for many common and uncommon findings. In some cases, the diagnosis can be so certain that there is no differential diagnosis. In this article, we review the most classically recognized findings when interpreting MRI of the pelvis including the following: Ovaries: Simple cyst, hemorrhagic cyst, corpus luteum, dermoid, fibroma/fibrothecoma. Uterus: C-section scar, adenomyosis, endometriosis, fibroid, congenital uterine anomalies. Cervix: nabothian cyst, cervical cancer. Vagina/Vulva: Gardener's duct cyst, Bartholin's gland cyst. Urethra: skene gland cyst, urethral diverticulum. Prostate: utricle cyst, Mullerian duct cyst, benign prostatic hyperplasia, prostate cancer.

Are Hemorrhagic Cysts Hyperintense Enough on T1-Weighted MRI to Be Distinguished From Renal Cell Carcinomas? A Retrospective Analysis of 204 Patients.

OBJECTIVE. The purpose of this study was to evaluate the utility of T1- and T2-weighted MRI signal-intensity ratios and signal-intensity SDs of renal lesions to determine the feasibility of distinguishing between simple cysts, hemorrhagic renal cysts, clear cell renal cell carcinoma (RCC), and papillary RCC. MATERIALS AND METHODS. Pathology records of 53 cases of papillary RCCs between 1 and 5 cm in size were included. Thirty-eight pathology-proven clear cell RCCs, 54 simple renal cysts seen on abdominal MRI, and 59 hemorrhagic renal cysts seen on abdominal MRI were identified. Lesion location and size, T1- and T2-weighted signal intensity, and corresponding SD values for each renal lesion and psoas muscle (from which lesion-to-muscle ratios were calculated) were collected. RESULTS. Analysis revealed a statistically significant difference (p < 0.001) in T1-weighted lesion-to-muscle signal-intensity ratios between simple cysts (mean ± standard error, 0.54 ± 0.05), clear cell RCCs (0.86 ± 0.06), papillary RCCs (1.17 ± 0.05), and hemorrhagic renal cysts (1.95 ± 0.04). The T2-weighted lesion-to-muscle signal-intensity ratios showed a statistically significant difference between all lesion types (p < 0.02) except between hemorrhagic renal cysts and papillary RCCs, where the difference approached significance (p = 0.075). ROC analysis showed an optimal cutoff of T1-weighted lesion-to-muscle signal-intensity ratio of 1.39 to differentiate hemorrhagic cysts (above this value) from RCCs (below this value). Corresponding sensitivity and specificity were 91.2% and 74.6%, respectively. CONCLUSION. T1-weighted lesion-to-muscle signal-intensity ratio is a useful measure to discriminate mildly hyperintense RCCs from more hyperintense hemorrhagic cysts when contrast enhancement is unavailable.

Interpreting body MRI cases: classic findings in abdominal MRI.

Few things in radiology are "pathognomonic" in their appearance or presentation. However, having an awareness of those findings which are specific to a certain entity is important when interpreting imaging studies. These classic findings can be identified with many imaging modalities, but no modality provides as many recognizable observations as an MRI. This results from the large variety of pulse sequences that provide high contrast resolution, prior to and following contrast administration. In this article, the most classically recognized abdominal findings are presented including the following: Liver: Cyst, hemangioma, focal nodular hyperplasia, hepatic adenoma, hemosiderosis, hepatocellular carcinoma. Spleen: Cyst, hemangioma, lymphangioma, hemosiderosis, Gandy-Gamna bodies. Biliary system: Biliary stones and choledocholithiasis, pneumobilia, choledochal cyst. Gallbladder: Adenomyomatosis, sludge, surgical clips in the gallbladder fossa. Pancreas: Pancreatic divisum, intraductal papillary mucinous neoplasm, pseudocyst, autoimmune pancreatitis, chronic pancreatitis, adenocarcinoma. Kidneys: Simple cyst, hemorrhagic cyst, renal sinus cyst, angiomyolipoma, solid mass.

Interpreting body MRI cases: what you need to know to get started.

Interpreting body MRI cases can seem overwhelming to an uninitiated radiologist. The standard study includes a variety of pulse sequences, the names of which vary depending on the MR vendor. Pulse sequences may be displayed haphazardly on the picture archiving and communication system (PACS), frequently not synchronized with the imaging protocol. Adding to the complexity is the use of different gadolinium-based contrast agents, which may affect the timing and diagnostic yield of each sequence. The following introductory primer for interpreting body MRI cases is meant to create a basic framework for efficiently reviewing body MRI cases to provide high quality interpretations, fully utilizing the diagnostic information of the modality. There are 4 components that need to be mastered when interpreting body MRI cases including: (1) recognizing the key sequences in a basic body MRI protocol, (2) learning how to best display the key pulse sequences on PACS, (3) understanding the technique and clinical utility of each sequence and learning how to utilize sequences to be an "MR Pathologist", and (4) understanding the key features of the different gadolinium based contrast agents.