What the radiologist needs to know: the role of preoperative computed tomography in selection of operative approach for adrenalectomy and review of operative techniques

Steven P. Rowe, Carolina Lugo-Fagundo, Hannah Ahn, Elliot K. Fishman, Jason D. Prescott

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Adrenalectomy is the standard of care for management of many adrenal tumor types and, in the United States alone, approximately 6000 adrenal surgeries are performed annually. Two general approaches to adrenalectomy have been described; (1) the open approach, in which a diseased adrenal is removed through a large (10–20 cm) abdominal wall incision, and (2) the minimally invasive approach, in which laparoscopy is used to excise the gland through incisions generally no longer than 1–2 cm. Given these disparate technique options, clear preoperative characterization of those specific disease features that inform selection of adrenalectomy approach is critically important to the surgeon. Because most of these features are directly assessed via preoperative abdominal imaging, in particular computed tomography (CT) scanning, a clear mutual understanding among surgeons and radiologists of those adrenal tumor features impacting operative approach selection is vital for planning adrenal surgery. In this context, we review the preoperative CT imaging features that specifically inform adrenalectomy approach selection, provide illustrative examples from our institution’s imaging and surgical archives, and provide a stepwise guide to both the open and laparoscopic adrenalectomy approaches.

Original languageEnglish (US)
Pages (from-to)140-153
Number of pages14
JournalAbdominal Radiology
Volume44
Issue number1
DOIs
StatePublished - Jan 15 2019

Keywords

  • Adrenal
  • Adrenalectomy
  • Adrenocortical carcinoma
  • Computed tomography
  • Laparoscopy

ASJC Scopus subject areas

  • Gastroenterology
  • Urology
  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging

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