The roles of fluorodeoxyglucose-PET/computed tomography in ovarian cancer: Diagnosis, assessing response, and detecting recurrence

Richard L. Wahl; Mehrbod Som Javadi; Hedieh Eslamy; Aditi Shruti; Robert Bristow

doi:10.1016/j.cpet.2010.07.008

The roles of fluorodeoxyglucose-PET/computed tomography in ovarian cancer: Diagnosis, assessing response, and detecting recurrence

Richard L. Wahl, Mehrbod Som Javadi, Hedieh Eslamy, Aditi Shruti, Robert Bristow

Research output: Contribution to journal › Review article › peer-review

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Abstract

The potential roles of fluorodeoxyglucose positron emission tomography/computed tomography imaging in ovarian cancer include noninvasive characterization of an ovarian mass, staging, and treatment planning. This article assesses these roles for predicting and monitoring response to treatment, restaging, and early diagnosis of recurrence.

Original language	English
Pages (from-to)	447-461
Number of pages	15
Journal	PET Clinics
Volume	5
Issue number	4
DOIs	https://doi.org/10.1016/j.cpet.2010.07.008
State	Published - Oct 2010

Keywords

Computed tomography
Fluorodeoxyglucose
Ovarian cancer
PET

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10.1016/j.cpet.2010.07.008

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title = "The roles of fluorodeoxyglucose-PET/computed tomography in ovarian cancer: Diagnosis, assessing response, and detecting recurrence",

abstract = "The potential roles of fluorodeoxyglucose positron emission tomography/computed tomography imaging in ovarian cancer include noninvasive characterization of an ovarian mass, staging, and treatment planning. This article assesses these roles for predicting and monitoring response to treatment, restaging, and early diagnosis of recurrence.",

keywords = "Computed tomography, Fluorodeoxyglucose, Ovarian cancer, PET",

author = "Wahl, {Richard L.} and Javadi, {Mehrbod Som} and Hedieh Eslamy and Aditi Shruti and Robert Bristow",

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AU - Shruti, Aditi

AU - Bristow, Robert

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KW - Fluorodeoxyglucose

KW - Ovarian cancer

KW - PET

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The roles of fluorodeoxyglucose-PET/computed tomography in ovarian cancer: Diagnosis, assessing response, and detecting recurrence

Abstract

Keywords

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