Dynamic O-(2-[18F]fluoroethyl)-L-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy

Maria Lucia Calcagni; Guido Galli; Alessandro Giordano; Silvia Taralli; Carmelo Anile; Andreas Niesen; Richard Paul Baum

doi:10.1097/RLU.0b013e3182291b40

Dynamic O-(2-[18F]fluoroethyl)-L-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy

Maria Lucia Calcagni, Guido Galli, Alessandro Giordano, Silvia Taralli, Carmelo Anile, Andreas Niesen, Richard Paul Baum

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Abstract

(1) To investigate the diagnostic value of some O-(2-[F]fluoroethyl)-L-tyrosine (F-18 FET) indices derived from the dynamic acquisition to differentiate low-grade gliomas from high-grade; (2) to analyze the course of tumor time-activity curves (TACs); and (3) to calculate the individual probability of a high-grade glioma using the logistic regression.

Original language	English
Pages (from-to)	841-847
Number of pages	7
Journal	Clinical Nuclear Medicine
Volume	36
DOIs	https://doi.org/10.1097/RLU.0b013e3182291b40
Publication status	Published - 2011

Keywords

Adolescent
Adult
Aged
Brain Neoplasms
Female
Glioma
Humans
Male
Middle Aged
Neoplasm Grading
Positron-Emission Tomography
Time Factors
Tyrosine
Young Adult

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10.1097/RLU.0b013e3182291b40

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title = "Dynamic O-(2-[18F]fluoroethyl)-L-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy",

abstract = "(1) To investigate the diagnostic value of some O-(2-[F]fluoroethyl)-L-tyrosine (F-18 FET) indices derived from the dynamic acquisition to differentiate low-grade gliomas from high-grade; (2) to analyze the course of tumor time-activity curves (TACs); and (3) to calculate the individual probability of a high-grade glioma using the logistic regression.",

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author = "Calcagni, {Maria Lucia} and Guido Galli and Alessandro Giordano and Silvia Taralli and Carmelo Anile and Andreas Niesen and Baum, {Richard Paul}",

year = "2011",

doi = "10.1097/RLU.0b013e3182291b40",

language = "English",

volume = "36",

pages = "841--847",

journal = "Clinical Nuclear Medicine",

issn = "0363-9762",

publisher = "Lippincott Williams and Wilkins Ltd.",

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T1 - Dynamic O-(2-[18F]fluoroethyl)-L-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy

AU - Calcagni, Maria Lucia

AU - Galli, Guido

AU - Giordano, Alessandro

AU - Taralli, Silvia

AU - Anile, Carmelo

AU - Niesen, Andreas

AU - Baum, Richard Paul

PY - 2011

Y1 - 2011

N2 - (1) To investigate the diagnostic value of some O-(2-[F]fluoroethyl)-L-tyrosine (F-18 FET) indices derived from the dynamic acquisition to differentiate low-grade gliomas from high-grade; (2) to analyze the course of tumor time-activity curves (TACs); and (3) to calculate the individual probability of a high-grade glioma using the logistic regression.

AB - (1) To investigate the diagnostic value of some O-(2-[F]fluoroethyl)-L-tyrosine (F-18 FET) indices derived from the dynamic acquisition to differentiate low-grade gliomas from high-grade; (2) to analyze the course of tumor time-activity curves (TACs); and (3) to calculate the individual probability of a high-grade glioma using the logistic regression.

KW - Adolescent

KW - Adult

KW - Aged

KW - Brain Neoplasms

KW - Female

KW - Glioma

KW - Humans

KW - Male

KW - Middle Aged

KW - Neoplasm Grading

KW - Positron-Emission Tomography

KW - Time Factors

KW - Tyrosine

KW - Young Adult

KW - Adolescent

KW - Adult

KW - Aged

KW - Brain Neoplasms

KW - Female

KW - Glioma

KW - Humans

KW - Male

KW - Middle Aged

KW - Neoplasm Grading

KW - Positron-Emission Tomography

KW - Time Factors

KW - Tyrosine

KW - Young Adult

UR - http://hdl.handle.net/10807/5439

U2 - 10.1097/RLU.0b013e3182291b40

DO - 10.1097/RLU.0b013e3182291b40

M3 - Article

SN - 0363-9762

VL - 36

SP - 841

EP - 847

JO - Clinical Nuclear Medicine

JF - Clinical Nuclear Medicine

ER -

Dynamic O-(2-[18F]fluoroethyl)-L-tyrosine (F-18 FET) PET for glioma grading: assessment of individual probability of malignancy

Abstract

Keywords

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