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Transduction-Transplantation Mouse Model of Myeloproliferative Neoplasm

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Appendiceal Neoplasms.

Quinton M Hatch¹, Erin W Gilbert¹

¹Division of Gastrointestinal and General Surgery, Department of Surgery, Oregon Health & Science University, Portland, Oregon.

Clinics in Colon and Rectal Surgery

|September 7, 2018

Summary

This summary is machine-generated.

Appendiceal neoplasms are increasingly common. This study introduces an algorithm to guide surgeons in managing these complex cases, moving beyond traditional neuroendocrine tumor focus.

Keywords:

adenoneuroendocrine carcinoma appendiceal neoplasms appendiceal neuroendocrine tumors gastrointestinal neuroendocrine tumors pseudomyxoma peritonei

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Area of Science:

Gastroenterology
Surgical Oncology
Pathology

Background:

Appendiceal neoplasms occur in 0.9-1.4% of appendectomies, with rising incidence.
Neuroendocrine tumors were historically most common, but epidemiology is shifting.
Diagnosis often begins with non-specific appendicitis symptoms.

Purpose of the Study:

To develop a surgical algorithm for appendiceal neoplasm evaluation and treatment.
To aid surgeons in navigating complex operative decisions and patient counseling.
To address the evolving epidemiology of appendiceal neoplasms.

Main Methods:

Development of a clinical decision-making algorithm.
Emphasis on histopathologic differentiation for diagnosis.
Integration of operative decisions, treatment strategies, and patient counseling.

Main Results:

The algorithm simplifies complex management pathways.
Histopathologic nuances are critical for accurate diagnosis and treatment.
The study addresses the shift in appendiceal neoplasm epidemiology.

Conclusions:

A structured algorithm is essential for managing appendiceal neoplasms.
Accurate histopathology is key to effective treatment planning.
Surgeons require updated guidance due to changing appendiceal neoplasm patterns.