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Adrenal ganglioneuroma with multifocal retroperitoneal extension: a challenging diagnosis.

ABSTRACT: A ganglioneuroma (GN) is the rarest and most benign of the neuroblastic tumors and originates from neural crest cells wherever sympathetic nervous tissue exists, such as in the retroperitoneum and adrenal gland. The diagnosis can be very challenging, given the rarity and asymptomatic presentation of this neoplasia, and can be achieved only by means of histological evaluation. Although benign, a few cases of metastatic GNs have been reported in the literature. The prognosis, however, seems to be excellent after surgical resection. We describe a rare case of multifocal retroperitoneal GN, diagnosed incidentally in a 46-year-old woman, with para-aortic and adrenal localizations. After intraoperative pathological diagnosis was made, complete excision of all the visible masses was performed. The postoperative period was uneventful and she was recurrence free 3 months after surgery. To our knowledge, this is the first case report of a multifocal retroperitoneal GN. Among the broad differential diagnoses of adrenal incidentalomas, an adrenal location of neuroblastic tumors should not be forgotten.

SUBMITTER: Oderda M

PROVIDER: S-EPMC3201631 | biostudies-other | 2011

REPOSITORIES: biostudies-other

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Project description:BackgroundMany imaging scoring models have been developed for tumor surgery to provide critical guidance for the selection of surgical methods. However, little research has been aimed at developing scoring models for adrenal tumors and retroperitoneal laparoscopic adrenal surgery (RLAS), which has become the primary technique for treating adrenal tumors. The study set out to establish a computed tomography (CT)-based adrenal tumor scoring model for predicting perioperative outcomes in patients with adrenal tumors who have undergone RLAS.MethodsThe retrospective analysis included 306 patients with adrenal tumors diagnosed by preoperative unenhanced or enhanced CT from January 2014 to August 2018 in the First Affiliated Hospital of Fujian Medical University. CT images were used to quantify the tumor location and size; the relationships of the tumors with the surrounding organs and tissues, the large abdominal blood vessels, and the upper poles of the kidneys and renal hila; the adhesion of periadrenal fat (PF); and the tumor CT enhancement value. We conducted multivariate ordinal logistic regression analysis to screen variables and performed principal component analysis to construct a novel scoring model for RLAS. The perioperative outcomes of RLAS were evaluated according to postoperative length of stay, operative time (OT), intraoperative blood loss (IBL), and postoperative complications.ResultsThe final scoring model included tumor size; the relationships of the tumors with the surrounding organs and tissues, the large abdominal blood vessels, and the upper poles of the kidneys and renal hila; the tumor CT enhancement value; the adhesion of the PF; and the functional status of adrenal tumors. The total score had positive correlations with the OT (rs=0.431), IBL (rs=0.446), and postoperative length (rs=0.180) (all P values <0.001). Compared to any single metric, the total score provided better prediction of OT and IBL. The grading system for RLAS based on the scoring model also performed well in predicting the complexity and difficulty of RLAS. The coincidence rate for these factors was good (all P values <0.001).ConclusionsThe developed model is feasible and repeatable in the prediction of the perioperative outcomes, complexity, and difficulty of RLAS.

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Adrenal ganglioneuroma with multifocal retroperitoneal extension: a challenging diagnosis.

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