Adherence to guidelines for hormonal evaluation in patients with incidentally detected adrenal nodules: effects of radiology report wording and standardized reporting

To report hounsfeld units or not: There is no question

INTRODUCTION

Most adrenal incidentalomas are not appropriately evaluated. Reporting the mass in the radiology report summary and providing recommendations in the report can positively impact evaluation. This study evaluated the effect of reporting Hounsfield units(HU) on adrenal incidentaloma follow-up.

METHODS

Patients with adrenal incidentalomas identified on noncontrast CT scan from 2015 to 2020 ​at a tertiary care institution were studied. Chart review was conducted. Patient and imaging characteristics were compared between patients who did and did not have HU reported. Outcomes of interest were 1)outpatient referral, 2)biochemical evaluation, and 3)dedicated imaging if appropriate. Multivariate analysis determined the impact of HU, reporting in the summary and provision of recommendations on the outcomes.

RESULTS

363 patients were studied, 36(9.9 ​%) had HU reported. When HU were used in addition to recommendations and reporting in the summary, the likelihood of outpatient referral increased from 10.1 to 32.6-fold (95%CI 7.7-138.1, p ​< ​0.001). Similarly, the likelihood of biochemical workup increased from 2.5 to 7.8-fold (95%CI 2.5-24.1, p ​< ​0.001).

CONCLUSION

Recording adrenal incidentaloma HU on non-contrast CT scans was associated with increased rates of outpatient referral and biochemical workup.

Incidence, Presentation, and Natural History of Adrenal Hemorrhage: An Institutional Analysis

INTRODUCTION

Adrenal hemorrhage (AH) can occur due to multiple etiologies with variable radiographic appearance, often indistinguishable from underlying adrenal neoplasms. There is a lack of AH literature and evidence-based guidelines. Our study aimed to understand the prevalence and etiology of AH, follow-up, and incidence of underlying neoplasm.

METHODS

An institutional database was queried from January 2006 to October 2021 for patients with AH on imaging, excluding patients with known malignancies, adrenal masses, or prior adrenal surgery. Demographics, medical history, hematoma size, laterality, biochemical evaluation, intervention, and additional imaging were reviewed.

RESULTS

Of 490,301 imaging reports queried, 530 (0.11%) with AH met inclusion criteria. Most imaging (n = 485, 91.5%) was performed during trauma evaluation. Two patients underwent dedicated intervention at presentation. Interval imaging was performed in 114 (21.5%) patients at a median of 2.6 (interquartile range 0.99-13.4) mo, with resolution (n = 84, 73.7%) or decreased size of AH (n = 21, 18.4%) in most patients. Only 10 patients (1.9%) saw an outpatient provider in our system to address AH or evaluate for underlying mass, and 9 (1.7%) underwent biochemical screening. Thirteen patients (11% of 118 patients with any follow-up) had evidence of an adrenal mass, confirmed on serial imaging (n = 10) or adrenalectomy (n = 3). Scans performed for nontrauma indications were significantly more likely to have an underlying mass (n = 6/26 [23.1%]) than those performed for trauma evaluation (n = 7/92 [7.6%], P = 0.04).

CONCLUSIONS

AH is a rare finding associated with an increased rate of underlying adrenal mass, particularly when unrelated to trauma. Most AH resolves spontaneously without intervention. Follow-up imaging at 6 mo can help distinguish mass-associated AH from simple hemorrhage.

Universal Liver Imaging Lexicon: Imaging Atlas for Research and Clinical Practice

The use of standardized terms in assessing and reporting disease processes has well-established benefits, such as clear communication between radiologists and other health care providers, improved diagnostic accuracy and reproducibility, and the enhancement and facilitation of research. Recently, the Liver Imaging Reporting and Data System (LI-RADS) Steering Committee released a universal liver imaging lexicon. The current version of the lexicon includes 81 vetted and precisely defined terms that are relevant to acquisition of images using all major liver imaging modalities and contrast agents, as well as lesion- and organ-level features. Most terms in the lexicon are applicable to all patients undergoing imaging of the liver, and only a minority of the terms are strictly intended to be used for patients with high risk factors for hepatocellular carcinoma. This pictorial atlas familiarizes readers with the liver imaging lexicon and includes discussion of general concepts, providing sample definitions, schematics, and clinical examples for a subset of the terms in the liver imaging lexicon. The authors discuss general, technical, and imaging feature terms used commonly in liver imaging, with the goal of illustrating their use for clinical and research applications. Work of the U.S. Government published under an exclusive license with the RSNA. Online supplemental material is available for this article.

Automated extraction of incidental adrenal nodules from electronic health records

BACKGROUND

Many adrenal incidentalomas do not undergo appropriate biochemical testing and complete imaging characterization to assess for hormone hypersecretion and malignancy. With the growing availability of clinical narratives in the electronic medical record, automated surveillance using advanced data analytic techniques may represent a promising method to improve management.

METHODS

A data provisioning process using a series of structured query language scripts was used to abstract all chest and abdominal computed tomography and magnetic resonance imaging reports from an academic health care system in 2018. The narratives and impressions were queried for key text relating to the identification of adrenal incidentalomas. Patients with a history of extra-adrenal malignancy undergoing staging or surveillance imaging were excluded. The prevalence and radiographic characteristics were analyzed. Patients with adrenal incidentalomas newly identified in 2018 were assessed for biochemical testing and nodule stability through August 2021.

RESULTS

Of 36,618 patients queried, 8,557 were excluded owing to a history of extra-adrenal malignancy. Data from 447 patients were flagged by the structured query language scripts and electronically abstracted. On internal validation, 307/447 (69%) patients were correctly identified as having adrenal nodules (1.1% overall prevalence). The median patient age was 67 years, and 56% were female. The median nodule size was 1.7 (IQR 1.3-2.5) cm, 9% were bilateral, and 63% were low density (unenhanced Hounsfield units <10). Adrenal carcinoma was identified in 10 patients. In 2018, 121 patients were diagnosed with a new adrenal incidentaloma. Of 32 (27%) patients who had follow-up imaging at a median of 1.9 years, 97% of nodules were stable in size. Biochemical testing was performed in 53 patients (44%), of which 31 (26%) had complete hormonal assessment; 14 (26%) were functional nodules: 7 aldosterone-secreting, 4 cortisol-secreting, and 3 pheochromocytoma.

CONCLUSION

Only one-fourth of patients received appropriate biochemical testing after incidental diagnosis of an adrenal nodule, and most nodules with indeterminate imaging characteristics did not undergo follow-up imaging. Advanced data analytic techniques on electronic imaging reports may aid in the clinical identification and improved management of patients with adrenal incidentalomas.

A Standardized Radiology Template Improves Incidental Adrenal Mass Follow-Up: A Prospective Effectiveness and Implementation Study

PURPOSE

Incidental adrenal masses (IAMs) are common but rarely evaluated. To improve this, we developed a standardized radiology report recommendation template and investigated its implementation and effectiveness.

METHODS

We prospectively studied implementation of a standardized IAM reporting template as part of an ongoing quality improvement initiative, which also included primary care provider (PCP) notifications and a straightforward clinical algorithm. Data were obtained via medical record review and a survey of radiologists. Outcomes included template adoption rates and acceptability (implementation measures), as well as the proportion of patients evaluated and time to follow-up (effectiveness outcomes).

RESULTS

Of 4,995 imaging studies, 200 (4.0%) detected a new IAM. The standardized template was used in 54 reports (27.0%). All radiologists surveyed were aware of the template, and 91% affirmed that standardized recommendations are useful. Patients whose reports included the template were more likely to have PCP follow-up after IAM discovery compared with those with no template (53.7% versus 36.3%, P = .03). After adjusting for sex, current or prior malignancy, and provider ordering the initial imaging (PCP, other outpatient provider, or emergency department or inpatient provider), odds of PCP follow-up remained 2.0 times higher (95% confidence interval 1.02-3.9). Patients whose reports included the template had a shorter time to PCP follow-up (log-rank P = .018). PCPs ultimately placed orders for biochemical testing (35.2% versus 18.5%, P = .01), follow-up imaging (40.7% versus 23.3%, P = .02), and specialist referral (22.2% versus 4.8%, P < .01) for a higher proportion of patients who received the template compared with those who did not.

CONCLUSIONS

Use of a standardized template to communicate IAM recommendations was associated with improved IAM evaluation. Our template demonstrated high acceptability, but additional strategies are necessary to optimize adoption.

Incidental Adrenal Nodules in Patients Without Known Malignancy: Prevalence of Malignancy and Utility of Washout CT for Characterization-A Multiinstitutional Study

BACKGROUND. Washout CT is commonly used to evaluate indeterminate adrenal nodules, although its diagnostic performance is poorly established in true adrenal incidentalomas. OBJECTIVE. The purpose of this study was to compare, in patients without a known malignancy history, the prevalence of malignancy for incidental adrenal nodules with unenhanced attenuation more than 10 HU that do and do not show absolute washout of 60% or more, thereby determining the diagnostic performance of washout CT for differentiating benign from malignant incidental adrenal nodules. METHODS. This retrospective six-institution study included 299 patients (mean age, 57.3 years; 180 women, 119 men) without known malignancy or suspicion for functioning adrenal tumor who underwent washout CT, which showed a total of 336 adrenal nodules with a short-axis diameter of 1 cm or more, homogeneity, and unenhanced attenuation over 10 HU. The date of the first CT ranged across institutions from November 1, 2003, to January 1, 2017. Washout was determined for all nodules. Reference standard was pathology (n = 54), imaging follow-up (≥ 1 year) (n = 269), or clinical follow-up (≥ 5 years) (n = 13). RESULTS. Prevalence of malignancy among all nodules, nodules less than 4 cm, and nodules 4 cm or more was 1.5% (5/336; 95% CI, 0.5-3.4%), 0.3% (1/317; 95% CI, 0.0-1.7%), and 21.1% (4/19; 95% CI, 6.1-45.6%), respectively. Prevalence of malignancy was not significantly different for nodules smaller than 4 cm with (0% [0/241]; 95% CI, 0.0-1.2%) and without (1.3% [1/76]; 95% CI, 0.0-7.1%) washout of 60% or more (p = .08) or for nodules 4 cm or larger with (16.7% [1/6]; 95% CI, 0.4-64.1%) and without (23.1% [3/13]; 95% CI, 5.0-53.8%) washout of 60% or more (p = .75). Washout of 60% or more was observed in 75.5% (243/322; 95% CI, 70.4-80.1%) of benign nodules (excluding pheochromocytomas), 20.0% (1/5; 95% CI, 0.5-71.6%) of malignant nodules, and 33.3% (3/9; 95% CI, 7.5-70.1%) of pheochromocytomas. For differentiating benign nodules from malignant nodules and pheochromocytomas, washout of 60% or more had 77.5% sensitivity, 70.0% specificity, 98.8% PPV, and 9.2% NPV among nodules smaller than 4 cm. CONCLUSION. Prevalence of malignancy is low among incidental homogeneous adrenal nodules smaller than 4 cm with unenhanced attenuation more than 10 HU and does not significantly differ between those with and without washout of 60% or more; wash-out of 60% or more has suboptimal performance for characterizing nodules as benign. CLINICAL IMPACT. Washout CT has limited utility in evaluating incidental adrenal nodules in patients without known malignancy.

Incidence of malignancy in adrenal nodules detected on staging CTs of patients with potentially resectable colorectal cancer

OBJECTIVE

To measure the prevalence of adrenal nodules detected on staging CT in patients with resectable colorectal cancer, and the proportion of patients with malignant nodules among them.

METHODS

This retrospective study included 6474 patients (median age, 65; interquartile range, 56-73; 3902 men) who underwent staging CT for colorectal cancer between May 2003 and December 2018. The patients had potentially resectable colorectal cancer, including resectable hepatic or pulmonary metastases. Through retrospective CT image review, patients with adrenal nodules were identified for the prevalence of adrenal nodule. Among patients with adrenal nodules, per-patient proportions of malignant nodules, adrenal metastasis from colorectal cancer, and additional adrenal examinations (biopsy or imaging tests) were measured. A secondary analysis was performed using data from the official CT reports.

RESULTS

The prevalence of adrenal nodules was 5.6% (363 of 6474; 95% CI: 5.1, 6.2). The proportions of malignant nodules and adrenal metastasis from colorectal cancer were 0.8% (3 of 363; 0.2, 2.4) and 0.3% (1 of 363; 0.0, 1.5), respectively. 6.1% (22 of 363; 3.8, 9.0) of the patients underwent additional adrenal examination. According to official CT reports, the prevalence of adrenal nodules and proportions of malignant nodules, adrenal metastasis from colorectal cancer, and additional adrenal examination were 1.9% (125 of 6474; 1.6, 2.3), 1.6% (2 of 125; 0.2, 5.7), 0% (0 of 125; 0.0, 2.9), and 10.4% (1 of 125; 5.7, 17.1), respectively.

CONCLUSION

Adrenal nodules detected in staging CTs in patients with otherwise resectable colorectal cancers are rarely malignant.

KEY POINTS

• Among 6474 patients who underwent staging CT and had potentially resectable colorectal cancer, 363 had adrenal nodules (≥ 10 mm) detected in retrospective CT image review. • Three out of the 363 patients with adrenal nodules detected on staging CT had malignant adrenal nodules, one of whom had metastasis from colorectal cancer.

Management of incidental adrenal nodules: a survey of abdominal radiologists conducted by the Society of Abdominal Radiology Disease-Focused Panel on Adrenal Neoplasms

Adrenal incidentalomas are common findings discovered at abdominal CT and MRI, yet the most appropriate management remains controversial and guidelines vary. The Society of Abdominal Radiology (SAR) Disease-Focused Panel on Adrenal Neoplasms sought to determine the practice patterns of abdominal radiologists regarding the interpretation and management of adrenal incidentalomas. An electronic survey consisting of eleven multiple choice questions about adrenal incidentalomas was developed and distributed to the email list of current and past SAR members. The response rate was 11.8% (423/3581) and most respondents were academic radiologists (80.6%). The 2017 American College of Radiology White Paper was the most used guideline, yet the management of indeterminate adrenal incidentalomas was highly variable with no single management option reaching a majority. Hormonal evaluation and endocrinology consultation was most often rarely or never recommended. The results of the survey indicate wide variability in the interpretation of imaging findings and management recommendations for incidental adrenal nodules among surveyed radiologists. Further standardization of adrenal incidentaloma guidelines and education of radiologists is needed.

Missed Opportunities to Promptly Diagnose and Treat Adrenal Tumors

INTRODUCTION

Adrenal mass management guidelines are insufficiently applied, and timeliness of treatment is unknown. We evaluated missed opportunities to promptly diagnose and treat adrenal tumors that ultimately required adrenalectomy.

METHODS

From the Veterans Affairs Corporate Data Warehouse, we identified patients who underwent adrenalectomy (2010-2016) in the South-Central Veterans Affairs HealthCare Network and reviewed their records. Diagnostic timeliness was assessed by the interval between initial (index) imaging with adrenal abnormality and the next diagnostic step. Workup was defined as early (interval ≤6 mo) or late (>6 mo). Adrenalectomy was considered prompt when the interval between index imaging and adrenalectomy was ≤12 mo and delayed when this was >12 mo. We quantified diagnostic and treatment delays and assessed factors associated with delayed adrenalectomy.

RESULTS

During the study period, 84 patients underwent adrenalectomy: male (86.9%), White (57.1%), with a mean age of 58.7 y (±8.8). Of those, 25 (29.8%) had late workup, and 36 (42.9%) had delayed surgery (median interval: 44 mo, range 14-282). Late hormonal workup occurred in 24 of 36 (66.7%) patients with delayed surgery, compared with one of 48 (2.1%, P < 0.001) with prompt surgery.

CONCLUSIONS

Missed opportunities in prompt diagnosis and treatment were common in patients with adrenal masses ultimately requiring adrenalectomy. Late hormonal workup is associated with delayed adrenalectomy. Interventions are needed to aid clinicians to recognize the presence, promptly evaluate, and make guideline-informed decisions on the management of an adrenal mass.

The prevalence and spectrum of reported incidental adrenal abnormalities in abdominal computed tomography of cancer patients: The experience of a comprehensive cancer center

BACKGROUND

The increasing use of computed tomography (CT) has identified many patients with incidental adrenal lesions. Further evaluation of these lesions is often dependent on the language used in the radiology report. Compared to the general population, patients with cancer have a higher risk for adrenal abnormalities, yet data on the prevalence and type of incidental adrenal lesions reported on radiologic reports in cancer patients is limited. In this study, we aimed to determine the prevalence and nature of adrenal abnormalities as an incidental finding reported on radiology reports of cancer patients evaluated for reasons other than suspected adrenal pathology.

METHODS

Radiology reports of patients who underwent abdominal CT within 30 days of presentation to a tertiary cancer center were reviewed and analyzed. We used natural language processing to perform a multi-class text classification of the adrenal reports. Patients who had CT for suspected adrenal mass including adrenal protocol CT were excluded. Three independent abstractors manually reviewed abnormal and questionable results, and we measured the interobserver agreement.

RESULTS

From June 1, 2006, to October 1, 2017, a total of 600,399 abdominal CT scans were performed including 66,478 scans obtained within 30 days of the patient's first presentation. Of these, 58,512 were eligible after applying the exclusion criteria. Adrenal abnormalities were identified in 7,817 (13.4%) reports, with adrenal nodularity (3,401 [43.5%]), adenomas (1,733 [22.2%]), and metastases (1,337 [17.1%]) being the most reported categories. Only 10 cases (0.1%) were reported as primary adrenal carcinomas and 2 as pheochromocytoma. Interobserver agreement using 300 reports yielded a Fleiss kappa of 0.893, implying almost perfect agreement between the abstractors.

CONCLUSIONS

Incidental adrenal abnormalities are commonly reported in abdominal CT reports of cancer patients. As the terminology used by radiologists to describe these findings greatly determine the subsequent management plans, further studies are needed to correlate some of these findings to the actual confirmed diagnosis based on hormonal, histological and follow-up data and ascertain the impact of such reported findings on patients' outcomes.

Accuracy of focal cystic appearance within adrenal nodules on contrast-enhanced CT to distinguish pheochromocytoma and malignant adrenal tumors from adenomas

PURPOSE

To determine the accuracy of cystic appearance within adrenal masses on contrast-enhanced CT in distinguishing pheochromocytomas and malignant adrenal tumors from adenomas.

METHODS

We performed a retrospective review of adult patients with pathologically proven adrenal tumors who underwent contrast-enhanced abdominal CT. There were 92 patients (mean age 64.7 years, 52 men) with 22 pheochromocytomas, 34 malignant masses, and 36 adenomas. Two abdominal radiologists independently reviewed CT images to determine the presence of cystic appearance within the adrenal masses, defined as focal regions of low attenuation within the tumor that subjectively had fluid density.

RESULTS

Cystic appearance was present in 12/22 (55%, 95% CI 32-76%) pheochromocytomas (mean size 5.3 cm), 15/34 (44%, 95% CI 27-62%) malignant masses (mean size 5.8 cm), and 2/36 (5.6%, 95% CI 0.7-9%) adenomas (mean size 3.2 cm). Sensitivity and specificity of cystic appearance for distinguishing pheochromocytoma or malignant masses from adenomas were 48.2% (95% CI 34.7-62.0%) and 94.4% (95% CI 81.3-99.3%), respectively. Cystic appearance was a significant predictor of tumor type (p = 0.015) even after controlling for tumor size. Reader agreement for cystic appearance was almost perfect with a kappa of 0.85.

CONCLUSION

Cystic appearance in adrenal tumors on contrast-enhanced CT has high specificity and low sensitivity for distinguishing pheochromocytoma and malignant adrenal masses from adenomas.

Automatic Detection of Thyroid and Adrenal Incidentals Using Radiology Reports and Deep Learning

BACKGROUND

Computed tomography (CT) is commonly performed when evaluating trauma patients with up to 55% showing incidental findings. Current workflows to identify and inform patients are time-consuming and prone to error. Our objective was to automatically identify thyroid and adrenal lesions in radiology reports using deep learning.

MATERIALS AND METHODS

All trauma patients who presented to an accredited Level 1 Trauma Center between January 2008 and January 2019 were included. Radiology reports of CT scans that included either a thyroid or adrenal gland were obtained. Preprocessing included word tokenization, removal of stop words, removal of punctuation, and replacement of misspellings. A word2vec model was trained using 1.4 million radiology reports. Both training and testing reports were selected at random, manually reviewed, and were considered the gold standard. True positive cases were defined as any lesions in the thyroid or adrenal gland, respectively. Training data was used to create models that would identify reports that contained either thyroid or adrenal lesions. Our primary outcomes were sensitivity and specificity of the models using predetermined thresholds on a separate testing dataset.

RESULTS

A total of 51,771 reports were identified on 35,859 trauma patients. A total of 1,789 reports were annotated for training and 500 for testing. The thyroid model predictions resulted in a 90.0% sensitivity and 95.3% specificity. The adrenal model predictions resulted in a 92.3% sensitivity and a 91.1% specificity. A total of 240 reports were confirmed to have thyroid incidentals (mean age 69.1 yrs ± 18.9, 35% M) and 214 reports with adrenal incidentals (mean age 68.7 yrs ± 16.9, 50.5% M).

CONCLUSIONS

Both the thyroid and adrenal models have excellent performance with sensitivities and specificities in the 90s. Our deep learning model has the potential to reduce administrative costs and improve the process of informing patients.

Strategies to optimize management of incidental radiographic findings in the primary care setting: A mixed methods study

BACKGROUND

Incidental adrenal masses (IAMs) are common. Primary care providers (PCPs) are frequently responsible for incidentaloma evaluations. We evaluated whether PCPs view this paradigm effective, barriers faced, and strategies to optimize care delivery.

METHODS

This is a sequential explanatory study, comprised of surveys followed by focus groups of PCPs. Because lung nodules are another type of common incidental finding, we compared PCP views on management of lung nodules to their views on IAMs.

RESULTS

For IAMs, 22.3% of PCPs "always refer" to specialists, but for lung nodules this was 11.5% (p = 0.026). For lung nodules, the most significant barrier was insufficient time/support to longitudinally follow results (69%), but for IAMs it was uncertainty about which tests to order (68%). Fear of litigation was equal (lung = 22.5%, IAMs = 21.3%). Consistent themes regarding the "ideal" system included specific recommendations in radiology reports; automation of orders for follow-up tests; longitudinal tracking tools; streamlined consultations; and decision guides embedded within the electronic health record.

CONCLUSIONS

Respondents are more comfortable with lung nodules than IAMs. Management of "incidentalomas" is within their scope of practice, but the current system can be optimized.