Skip to search form
Skip to main content
Skip to account menu
Semantic Scholar
Semantic Scholar's Logo
Search 236,451,134 papers from all fields of science
Search
Sign In
Create Free Account
Standardized Uptake Value Peak
Known as:
SUVpeak
Standardized uptake value of the average for a limited number pixels (voxels) that includes the pixel (voxel) having SUVmax.(Dr. Joseph A. Thie)
National Institutes of Health
Create Alert
Alert
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2019
2019
Efficacy of [18F]FDG PET/CT in staging low-intermediate grade, estrogen receptor positive breast cancer : Staging with [18F]FDG PET/CT
R. Iqbal
,
Tuba Aras
,
+5 authors
C. W. Menke
2019
Corpus ID: 208458696
Background: Accurate staging of patients with primary breast cancer is essential for an optimal treatment plan. The current…
Expand
2018
2018
Multifunctional Assessment of Non–Small Cell Lung Cancer: Perfusion-Metabolic Correlation
L. Calandriello
,
A. Larici
,
+7 authors
L. Bonomo
Clinical Nuclear Medicine
2018
Corpus ID: 10850960
Purpose The aim of this study was to investigate the relationship between whole-tumor CT perfusion and FDG PET/CT parameters in…
Expand
2018
2018
Clinical feasibility of early scanning after administration of 68Ga-DOTATOC
Y. Nakamoto
,
T. Ishimori
,
Kohei Sano
,
Yoichi Shimizu
,
K. Togashi
Annals of Nuclear Medicine
2018
Corpus ID: 52309130
ObjectivePositron emission tomography (PET)/computed tomography (CT) using 68Ga-labeled 1,4,7,10-tetraazacyclododecane-N,N′,N″,N…
Expand
2018
2018
Clinical Impact of Respiratory Motion Correction in Simultaneous PET / MR with a Joint PET / MR Predictive Motion Model
Richard Manber
,
K. Thielemans
,
+6 authors
D. Atkinson
2018
Corpus ID: 261348633
In Positron Emission Tomography (PET) imaging, patient motion due to respiration can lead to artefacts and blurring, in addition…
Expand
2017
2017
Chapter 4 Experimental assessment of PET / CT repeatability
S. Mansor
,
M. Yaqub
,
D. Heijtel
,
M. Lodge
,
R. Boellaard
2017
Corpus ID: 3934589
Purpose: In longitudinal oncological and brain PET/CT studies it is important to understand the repeatability of quantitative PET…
Expand
2016
2016
FDG PET / CT Biomarkers in Recurrent Colorectal Cancer Study Guide Value of Quantitative FDG PET / CT Volumetric Biomarkers in Recurrent Colorectal Cancer Patient Survival
C. Marcus
,
R. Wray
,
+4 authors
R. Subramaniam
2016
Corpus ID: 115928137
257 disease [2, 3]. In this subgroup, the 5-year overall cancer-free age-standardized survival rate was 85.3% [4]. FDG PET is…
Expand
2014
2014
Comparison of gradient PET segmentation from a multi-modality PET/CT measurement tool to gradient PET segmentation alone
A. Nelson
,
P. Faulhaber
,
S. Pirozzi
,
J. Harper
,
J. Piper
2014
Corpus ID: 64184482
Purpose Recent research has shown the value of PET tumor statistics such as Total Lesion Glycolysis (TLG), Metabolic Tumor Volume…
Expand
2013
2013
TU-E-141-09: Impact of Attenuation Correction Mode On 4D PET/CT for Target Definition in Lung Cancer Patients.
S. Bowen
,
Matthew Nyflot
,
J. Zeng
,
G. Sandison
,
S. Patel
,
Paul Kinahan
Medical Physics (Lancaster)
2013
Corpus ID: 30678053
PURPOSE The impact of attenuation correction on respiratory-gated (4D) PET/CT images to define lung cancer targets, relative to…
Expand
2013
2013
Abstract P4-01-05: 3’-deoxy-3’-[18F]fluoro-thymidine (18F-FLT) positron emission tomography (PET): An accurate and effective tool for assessing tumor response in breast cancer
O. Couturier
,
C. Rousseau
,
+20 authors
M. Campone
2013
Corpus ID: 73090179
Objectives : A French multicenter study was promoted by the national French cancer federation (Unicancer RD stage II n = 75…
Expand
2012
2012
WE‐C‐BRA‐01: Best in Physics (Joint Imaging‐Therapy) ‐ Modeling Pathologic Response of Locally Advanced Esophageal Cancer to Chemoradiotherapy Using Spatial‐Temporal FDG‐PET Features, Clinical…
H. Zhang
,
Shan Tan
,
+5 authors
Wei Lu
2012
Corpus ID: 72777874
Purpose: To develop tumor response models using quantitative spatial‐temporal FDG‐PET features to accurately and precisely…
Expand