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Whole-body positron emission tomography and positron emission tomography/computed tomography in gynecologic oncology

Authors: E E, Kim;

Whole-body positron emission tomography and positron emission tomography/computed tomography in gynecologic oncology

Abstract

The advent of positron emission tomography (PET) and PET/computed tomography (CT) now enables us to detect metabolically active gynecologic cancers with greater accuracy than was possible with anatomic imagings. Fluorine-18 fluorodeoxyglucose PET has been useful in differentiation of malignant from benign lymph nodes, and residual or recurrent cancers from post-treatment changes. PET/CT produces additional information for the diagnosis and tissue biopsy as well as radiotherapy planning. This paper reviews the principle and clinical utility of PET and PET/CT in the diagnosis, staging, recurrence, therapeutic response as well as prognosis of gynecologic cancers.

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Keywords

Fluorodeoxyglucose F18, Humans, Female, Neoplasm Recurrence, Local, Radiopharmaceuticals, Tomography, X-Ray Computed, Genital Diseases, Female, Neoplasm Staging, Tomography, Emission-Computed

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
24
Average
Top 10%
Top 10%
Related to Research communities
Cancer Research
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