The Diagnostic Accuracy of 18F-FDG PET and 18F-FES PET for Staging Grade 1-2 Estrogen Receptor-Positive Breast Cancer

Jelijn J Knip1, Ramsha Iqbal1, Emma C Bonjer1

  • 1From the Departments of Medical Oncology (J.J.K., R.I., E.C.B., I.R.K., C.W.M.v.d.H.v.O.), Surgery (G.M.P.D., S.v.d.V.), Radiology and Nuclear Medicine (L.J.S., K.D., G.J.C.Z., A.D.W., R.B., D.E.O.L.), and Pathology (E.B.), Amsterdam UMC, Vrije Universiteit Amsterdam, De Boelelaan 1117, 1081 HV Amsterdam, the Netherlands; Department of Imaging and Biomarkers, Cancer Center Amsterdam, Amsterdam, the Netherlands (J.J.K., R.I., I.R.K., G.J.C.Z., R.B., D.E.O.L., C.W.M.v.d.H.v.O.); Departments of Medical Oncology (L.H.M.) and Nuclear Medicine (J.J.M.T.), Reinier de Graaf Gasthuis, Delft, the Netherlands; Department of Medical Oncology, Ziekenhuis Amstelland, Amstelveen, the Netherlands (A.A.v.Z., P.P.); Department of Surgery, Flevoziekenhuis, Almere, the Netherlands (G.M.P.D.); Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands (L.J.S.); Department of Medical Oncology, Zaans Medisch Centrum, Zaandam, the Netherlands (S.D.B.); and Department of Medical Oncology, Dijklander Ziekenhuis, Hoorn, the Netherlands (N.S.).

Radiology
|March 4, 2025
PubMed

Related Concept Videos

Receiver Operating Characteristic Plot01:15

Receiver Operating Characteristic Plot

A ROC (Receiver Operating Characteristic) plot is a graphical tool used to assess the performance of a binary classification model by illustrating the trade-off between sensitivity (true positive rate) and specificity (false positive rate). By plotting sensitivity against 1 - specificity across various threshold settings, the ROC curve shows how well the model distinguishes between classes, with a curve closer to the top-left corner indicating a more accurate model. The area under the ROC curve...
70
Sensitivity, Specificity, and Predicted Value01:13

Sensitivity, Specificity, and Predicted Value

In healthcare diagnostics, laboratory tests play a crucial role in identifying and diagnosing a wide range of medical conditions. However, interpreting test results is not always straightforward. An abnormal test result does not always confirm the presence of a disease, just as a normal result does not guarantee its absence. To assess the reliability of these diagnostic tools, healthcare practitioners rely on two key statistical indicators: sensitivity and specificity.
Sensitivity is the...
158
Accuracy and Errors in Hypothesis Testing01:13

Accuracy and Errors in Hypothesis Testing

Hypothesis testing is a fundamental statistical tool that begins with the assumption that the null hypothesis H0 is true. During this process, two types of errors can occur: Type I and Type II. A Type I error refers to the incorrect rejection of a true null hypothesis, while a Type II error involves the failure to reject a false null hypothesis.
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5%...
167
Diagnostic and Statistical Manual of Mental Disorders (DSM)01:27

Diagnostic and Statistical Manual of Mental Disorders (DSM)

The Diagnostic and Statistical Manual of Mental Disorders (DSM) serves as the primary classification system for mental health disorders, providing standardized diagnostic criteria for clinicians and researchers. First published by the American Psychiatric Association (APA) in 1952, the DSM has undergone several revisions to reflect evolving psychiatric understanding. The fifth edition, DSM-5, released in 2013, introduced key updates that expanded diagnostic categories and modified diagnostic...
35
Pulmonary Tuberculosis IV01:26

Pulmonary Tuberculosis IV

Tuberculosis, more commonly referred to as TB, is an infectious disease stemming from Mycobacterium tuberculosis. While it primarily impacts the lungs, TB can also affect other body areas. Given its severity and global impact, timely and accurate diagnosis is crucial for controlling its spread and improving patient outcomes.
Several diagnostic approaches are used to detect TB. The conventional method is the Tuberculin Skin Test (TST), also known as the Mantoux test. However, this method has...
128
Testing a Claim about Standard Deviation01:19

Testing a Claim about Standard Deviation

A complete procedure to test a claim about population standard deviation or population variance is explained here.
The hypothesis testing for the claim of population standard deviation (or variance) requires the data and samples to be random and unbiased. The population distribution also must be normal. There is no specific requirement on the sample size as the estimation is based on the chi-square distribution.
As a first step, the hypothesis (null and alternative) concerning the claim about...
2.4K