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Imaging Update for Hereditary Abdominopelvic Neuroendocrine Neoplasms.
Ferreira Dalla Pria, Hanna R; Sharbidre, Kedar G; Virarkar, Mayur; Javadi, Sanaz; Bhosale, Hrishabh; Maxwell, Jessica; Lall, Chandana; Morani, Ajaykumar C.
Afiliação
  • Ferreira Dalla Pria HR; From the Department of Radiology, University of Iowa Hospitals and Clinics, Iowa City, IA.
  • Sharbidre KG; Abdominal Imaging Section, Department of Radiology, University of Alabama at Birmingham, AL.
  • Virarkar M; Department of Radiology, University of Florida College of Medicine-Jacksonville, FL.
  • Javadi S; Department of Abdominal Imaging, Division of Diagnostic Imaging.
  • Bhosale H; Department of Abdominal Imaging, Division of Diagnostic Imaging.
  • Maxwell J; Department of Surgical Oncology, Division of Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX.
  • Lall C; Department of Radiology, University of Florida College of Medicine-Jacksonville, FL.
  • Morani AC; Department of Abdominal Imaging, Division of Diagnostic Imaging.
Article em En | MEDLINE | ID: mdl-37832535
ABSTRACT: Neuroendocrine neoplasms have shown a linear increase in incidence and prevalence in recent decades, primarily due to improved cross-sectional imaging, expanded use of endoscopic procedures, and advanced genetic analysis. However, diagnosis of hereditary neuroendocrine tumors is still challenging because of heterogeneity in their presentation, the variety of tumor locations, and multiple associated syndromes. Radiologists should be familiar with the spectrum of these tumors and associated hereditary syndromes. Furthermore, as the assessment of multiple tumor elements such as morphology, biochemical markers, and presence of metastatic disease are essential for the treatment plan, conventional anatomic and functional imaging methods are fundamental in managing and surveilling these cases. Our article illustrates the role of different cross-sectional imaging modalities in diagnosing and managing various hereditary abdominopelvic neuroendocrine tumors.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article