Disparities in access to care and outcomes in patients with adrenocortical carcinoma.

BACKGROUND: Surgical resection remains the mainstay of treatment for patients with adrenocortical carcinoma (ACC). The aim of the present study is to examine disparities in access to surgical resection and identify factors associated with overall survival following surgical resection. METHODS: The National Cancer Database was queried for patients with ACC (2004-2013). Patient characteristics and disease details were abstracted. Logistic regression analysis was performed to examine the factors associated with surgical resection, and a multivariate Cox proportional hazards model was used to identify predictors of survival in the surgical cohort. RESULTS: Surgical resection was performed in 2007/2946 (68%) ACC patients. On multivariate logistic regression analysis controlling for clinicodemographic factors, surgery was less likely to be performed in patients ≥56 y, males, African-Americans, patients with government insurance, or those treated at community cancer centers (P < 0.05). On a multivariate Cox proportional hazards model adjusting for clinicodemographic and treatment variables, older age (≥56 y) and presence of comorbidities were associated with worse overall survival. CONCLUSIONS: These findings suggest that there are demographic and socioeconomic disparities in access to surgical resection for ACC. However, after adjusting for patient and clinical characteristics, only patient age and presence of comorbidities were predictors of worse survival in patients undergoing surgery for ACC. More data are needed to determine the factors driving these disparities.

A cost-effectiveness analysis of adrenalectomy for nonfunctional adrenal incidentalomas: is there a size threshold for resection?

BACKGROUND: Adrenocortical carcinoma (ACC) is a rare, but aggressive, malignancy. Current American Association of Clinical Endocrinologists (AACE)/American Association of Endocrine Surgeons (AAES) guidelines recommend resection of nonfunctional adrenal neoplasms ≥ 4 cm. This study evaluates the cost-effectiveness of this approach. METHODS: A decision tree was constructed for patients with a nonfunctional, 4-cm adrenal incidentaloma with no radiographic suspicion for ACC. Patients were randomized to adrenalectomy, surveillance per AACE/AAES guidelines, or no follow-up ("sign-off"). Incremental cost-effectiveness ratio (ICER) includes health care costs, including missed ACC. ICER (dollar/life-year-saved [LYS]) was determined from the societal perspective. Sensitivity analyses were performed. RESULTS: In the base-case analysis, assuming a 2.0% probability of ACC for a 4-cm tumor, surgery was more cost-effective than surveillance (ICER $25,843/LYS). Both surgery and surveillance were incrementally more cost-effective than sign-off ($35/LYS and $8/LYS, respectively). Sensitivity analysis demonstrated that the model was sensitive to patient age, tumor size, probability of ACC, mortality of ACC, and cost of hospitalization. The results of the model were stable across different cost and complications related to adrenalectomy, regardless of operative approach. CONCLUSION: In our model, adrenalectomy was cost-effective for neoplasms >4 cm and in patients <65 years, primarily owing to the aggressiveness of ACC. Current AACE/AAES guideline recommendations for the resection of adrenal incidentalomas ≥ 4 cm seem to be cost-effective.

An imaging algorithm for the differential diagnosis of adrenal adenomas and metastases.

OBJECTIVE: The purpose of this study was to develop an algorithm using CT and chemical-shift MR imaging for the characterization of adrenal masses in patients with a primary cancer and no other evidence of metastatic disease. SUBJECTS AND METHODS: Thirty-three patients with 37 adrenal masses (19 metastases, 18 adenomas), all of whom had a known primary cancer, were studied with noncontrast CT and chemical-shift MR imaging (1.5 T). Lesion size and density in Hounsfield units (H) were determined by CT. Adrenal signal intensity normalized to that of spleen was used to calculate adrenal-spleen ratio (ASR), defined as the percentage of signal remaining in the opposed-phase image relative to the in-phase image. Lesions less than or equal to 0 H were classified as benign, lesions greater than 20 H were regarded as malignant, and lesions between 0 and 20 H were regarded as indeterminate. Diagnoses were confirmed by biopsy (for 19 lesions) or by follow-up imaging (for 18 lesions). An imaging algorithm was derived by determining the relative value of CT and MR imaging for diagnosing the lesions. The reimbursement rates for CT-guided biopsy and MR imaging of the abdomen were obtained from Medicare. RESULTS: All 13 lesions of 0 or less H were correctly classified as benign by CT. ASR was less than 70 in 10 of these 13. In another 13 lesions, H was greater than 20; all were malignant and all had an ASR greater than 80. Of 11 CT-indeterminate lesions, four of five adenomas had an ASR less than 70, and four of six metastases had an ASR greater than 80. Two malignant lesions had ASRs between 70 and 80 and were diagnosed by biopsy findings. One CT-indeterminate adenoma had an ASR of 84 and was diagnosed by biopsy findings. The reimbursement rate by Medicare is similar for CT-guided biopsy with pathologic interpretation and for MR imaging of the abdomen. CONCLUSION: An algorithm was developed for diagnosis of adrenal lesions that uses the density reading on noncontrast CT as the first step, with chemical-shift MR imaging for CT-indeterminate lesions. In this algorithm, lesions of 0 H or less may be regarded as benign and further work-up is not required. Lesions with a density greater than 20 H are likely malignant and should be biopsied when the result will influence management. For CT-indeterminate lesions, we recommend chemical-shift MR imaging. An ASR threshold of 70 indicates a benign lesion, and no further workup is required in these patients. Lesions with an ASR greater than 70 should have a biopsy performed, depending on the clinical situation. The above algorithm is cost-effective and reduces the number of biopsies required without reducing the sensitivity of detecting malignant lesions.