Agnes Araujo Valadares1, Paulo Schiavom Duarte2, Giovanna Carvalho3, Carla Rachel Ono2, George Barberio Coura-Filho2, Heitor Naoki Sado2, Marcelo Tatit Sapienza4, Carlos Alberto Buchpiguel5. 1. Nuclear Physician, Hospital das Clínicas da Faculdade de Medicina da Universidade de São Paulo (HC-FMUSP), São Paulo, SP, Brazil. 2. PhD, Physician Assistant, Service of Nuclear Medicine - Instituto do Câncer do Estado de São Paulo Octavio Frias de Oliveira (Icesp), São Paulo, SP Brazil. 3. Physician Assistant, Service of Nuclear Medicine - Instituto do Câncer do Estado de São Paulo Octavio Frias de Oliveira (Icesp), São Paulo, SP Brazil. 4. Private Docent, Professor, Department of Radiology and Oncology - Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP Brazil. 5. Private Docent, Full Professor, Department of Radiology and Oncology - Faculdade de Medicina da Universidade de São Paulo (FMUSP), São Paulo, SP Brazil.
Abstract
OBJECTIVE: To assess the cutoff values established by ROC curves to classify (18)F-NaF uptake as normal or malignant. MATERIALS AND METHODS: PET/CT images were acquired 1 hour after administration of 185 MBq of (18)F-NaF. Volumes of interest (VOIs) were drawn on three regions of the skeleton as follows: proximal right humerus diaphysis (HD), proximal right femoral diaphysis (FD) and first vertebral body (VB1), in a total of 254 patients, totalling 762 VOIs. The uptake in the VOIs was classified as normal or malignant on the basis of the radiopharmaceutical distribution pattern and of the CT images. A total of 675 volumes were classified as normal and 52 were classified as malignant. Thirty-five VOIs classified as indeterminate or nonmalignant lesions were excluded from analysis. The standardized uptake value (SUV) measured on the VOIs were plotted on an ROC curve for each one of the three regions. The area under the ROC (AUC) as well as the best cutoff SUVs to classify the VOIs were calculated. The best cutoff values were established as the ones with higher result of the sum of sensitivity and specificity. RESULTS: The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively. The best SUV cutoffs were 9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%) and 21.0 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively. CONCLUSION: The best cutoff value varies according to bone region of analysis and it is not possible to establish one value for the whole body.
OBJECTIVE: To assess the cutoff values established by ROC curves to classify (18)F-NaF uptake as normal or malignant. MATERIALS AND METHODS: PET/CT images were acquired 1 hour after administration of 185 MBq of (18)F-NaF. Volumes of interest (VOIs) were drawn on three regions of the skeleton as follows: proximal right humerus diaphysis (HD), proximal right femoral diaphysis (FD) and first vertebral body (VB1), in a total of 254 patients, totalling 762 VOIs. The uptake in the VOIs was classified as normal or malignant on the basis of the radiopharmaceutical distribution pattern and of the CT images. A total of 675 volumes were classified as normal and 52 were classified as malignant. Thirty-five VOIs classified as indeterminate or nonmalignant lesions were excluded from analysis. The standardized uptake value (SUV) measured on the VOIs were plotted on an ROC curve for each one of the three regions. The area under the ROC (AUC) as well as the best cutoff SUVs to classify the VOIs were calculated. The best cutoff values were established as the ones with higher result of the sum of sensitivity and specificity. RESULTS: The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively. The best SUV cutoffs were 9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%) and 21.0 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively. CONCLUSION: The best cutoff value varies according to bone region of analysis and it is not possible to establish one value for the whole body.
Sodium fluoride (18F-NaF) is a highly sensitive boneseeking PET tracer
used to detect skeletal abnormalities. The uptake mechanism of
18F-fluoride resembles that of 99mTc- MDP with better
pharmacokinetic characteristics including faster blood clearance and two-fold higher
uptake in bone(.Over the last years there has been a renewed clinical interest in the use of
18F-NaF as a bone scanning agent(. Reasons for this resurgence include periodic worldwide
shortages of 99mTc needed for conventional bone scanning
agents(, and the improved
sensitivity( and quantitative potential of
18F-NaF PET/CT( as compared with
99mTc-based conventional bone scans. In a pilot study, 18F-NaF
was also demonstrated to be superior to 18F-FDG PET/CT and magnetic
resonance imaging (MRI)(.Standardized uptake value (SUV), which averages tracer uptake with respect to the
injected dose and body weight, is the most widely used PET index for assessment of
tracer uptake in the routine clinical practice because it does not require blood
sampling and is obtained by static PET acquisition(.
Although SUV has been used predominantly for 18F-FDG PET imaging
quantification, research reports demonstrate that SUVs can detect significant
metabolic change in individual metastatic lesions at 18F-NaF PET images,
even in cases where visual evaluation reveals little if any difference(. Additionally, in the field of
oncology, an earlier identification of metastatic involvement is feasible and SUV
measurement may provide such information in cases where it is important to assess
whether a patient is responding to treatment(.However, as far as we know, the normal SUV range for 18F-NaF PET/CT has
been rarely analyzed in the scientific literature( as well as the most appropriate cutoff values to
distinguish normal from malignant bone uptake.The present study was aimed at establishing the normal SUV range for
18F-NaF PET/CT and assessing the most appropriate cutoff values to
classify 18F-NaF uptake as normal or malignant.
MATERIALS AND METHODS
Patient population
The present study was approved by the committee for Ethics in Research of School
of Medicine of Universidade de São Paulo.In this cross-sectional study, the images of the first 254 patients submitted to
18F-NaF PET/CT scans in the authors' department were analyzed.
The following patients' characteristics were analyzed: weight, height, body mass
index (BMI), age and sex.Main tumor types were the following: 96, breast cancer; 28, prostate cancer; 16,
lung cancer; 9, colorectal cancer; 8, melanoma; 8, liver cancer. Thirty-four
patients presented with other tumors and in 55 patients the cancer type was not
recorded.
PET/CT image acquisition
The patients were injected with 111 to 203 MBq (mean, 141 MBq) of
18F-NaF. Approximately 60 min after injection, all patients underwent
whole-body (vertex to toes) three-dimensional PET/CT. Images were acquired on a
Discovery 690 GE with the time of flight technique (General Electric). The PET
image reconstruction was performed using iterative technique with 24 subsets for
all studies. Low-dose CT transmission scans were obtained (10 to 30 mAs) for
attenuation correction. Other CT images parameters were the following: 120 kVp,
0.5-s rotation time; 1.375 pitch; and axial slice thickness of 3.75 mm. Emission
PET images were obtained at 1 min per bed position (15 cm slice thickness with 3
cm of overlapping), with 13 to 15 bed positions per study.
Image analysis
Cuboid volumes of interest (VOIs) with edges around 2 to 3 cm were drawn on three
bone regions, as follows: proximal right humerus diaphysis (HD), proximal right
femoral diaphysis (FD) and first vertebral body (VB1) in the 254 patients,
totalling 762 VOIs (Figure 1). The uptake
in the VOIs was classified as normal or malignant on the basis of the
radiopharmaceutical distribution pattern and on the CT images. Such a
classification was established by consensus between two nuclear medicine
physicians. A total of 675 volumes were classified as normal, and 52 were
classified as malignant. Thirty-five VOIs classified as indeterminate or
nonmalignant lesions were excluded from analysis.
Figure 1
Example of VOIs drawn on three bone regions: proximal right humerus
diaphysis; proximal right femoral diaphysis; and first vertebral
body.
Example of VOIs drawn on three bone regions: proximal right humerus
diaphysis; proximal right femoral diaphysis; and first vertebral
body.
Statistical analysis
For the whole study sample, the patients' characteristics (weight, height, BMI,
age and sex) were described using mean and standard deviation.The means and standard deviations of the maximal SUVs in each one of the three
VOIs were calculated for the normal and malignant uptakes. ANOVA analysis was
used to compare the maximal SUVs means among the three VOIs. The Tukey test was
used to compare the maximal SUVs means between all pairs of regions.The SUVs were also plotted on an ROC curve for each one of the three VOIs. The
area under the ROC (AUC) as well as the most appropriate cutoff SUVs were
calculated to classify the VOIs either as normal or malignant. The most
appropriate cutoff values were established as the ones with higher result of the
sum of sensitivity and specificity.The statistical analyses were performed using Excel® worksheets and the
SPSS 16.0®.
RESULTS
The authors evaluated 254 patients, 66% of them, women. Mean and standard deviation
of weight and height were, respectively, 69 ± 15 kg and 159 ± 8 cm.
The group had a mean BMI of 27 ± 6 kg/m2 and an average age of 60
± 14 years.Means and the standard deviations of the maximum SUVs for each one of the three VOIs
for normal and malignant uptakes are shown on Table
1.
Table 1
Mean ± standard deviation (SD) of maximum SUVs in the three bone
regions – proximal right humerus diaphysis (HD), proximal right femoral
diaphysis (FD) and first vertebral body (VB1) – for normal and malignant
classification
VOI
Classification
n
SUV (mean ± SD)
VB1
Normal
207
14.4 ± 3.7
VB1
Malignant
27
39.3 ± 18.6
HD
Normal
236
3.8 ± 1.4
HD
Malignant
11
11.4 ± 4.9
FD
Normal
232
5.4 ± 2.0
FD
Malignant
14
14.4 ± 9.0
Mean ± standard deviation (SD) of maximum SUVs in the three bone
regions – proximal right humerus diaphysis (HD), proximal right femoral
diaphysis (FD) and first vertebral body (VB1) – for normal and malignant
classificationThe ANOVA analysis comparing the means among the three VOIs in the regions classified
as normal demonstrated a statistically significant difference (p
< 0.01). The Tukey test demonstrated a statistically significant difference
between all pairs of regions as compared with each other (p <
0.01).The AUCs were 0.933, 0.889 and 0.975 for UD, FD and VB1, respectively (Figure 2). The most appropriate SUV cutoffs were
9.0 (sensitivity: 73%; specificity: 99%), 8.4 (sensitivity: 79%; specificity: 94%),
and 21 (sensitivity: 93%; specificity: 95%) for UD, FD and VB1, respectively.
Figure 2
The ROC curves for the three bone regions: proximal right humerus
diaphysis (HD), proximal right femoral diaphysis (FD) and first
vertebral body (VB1).
The ROC curves for the three bone regions: proximal right humerus
diaphysis (HD), proximal right femoral diaphysis (FD) and first
vertebral body (VB1).
DISCUSSION
18F-NaF was introduced by Blau et al.( in 1962 as an imaging agent for bone lesions. Data from
multiple small studies have shown that 18F-NaF PET produces bone scans
with higher sensitivity and specificity than 99mTc-based bone
scans(, and has also demonstrated to be superior to
18FFDG PET/CT and MRI(.The SUV is commonly used as a relative measure of FDG uptake(. The use of SUV is currently a
routine in the oncological clinical practice of 18FFDG PET/CT imaging.
Ideally, the use of SUV removes the variability caused by differences in patients'
size and the amount of injected activity( and facilitates comparisons between patients.Although the practice of using SUV thresholds for diagnosis is not widely
accepted( and despite
the fact that it has been repeatedly demonstrated that the use of SUV thresholds
characterizes an uptake region as benign or malignant is often invalid, there are
some situations where the use of SUV may be useful(. The SUV could be useful in cases where PET
quantitative imaging is necessary in clinical research, clinical trials, and
researches for development of drugs since it allows the standardization of imaging
analysis(. The SUV
could also be useful in therapy monitoring scans as independent measures of changes
in metabolic activity can provide an alternative approach to assess response to
therapy(. Even for
diagnostic purposes, the use of SUV thresholds could be valuable in some situations.
For example, in cases where the FDG uptake in a tissue is no greater than the uptake
in adjacent reference tissue and where the pre-test likelihood of malignancy is low,
it is considered to be safe to adopt an expectant strategy(.Most of the studies approaching the use of SUV in nuclear medicine were developed for
18FFDG PET/CT, even in the field of skeletal pathologies(. However, recent reports describe
the use of SUV to analyze bone pathologies at 18FNaF PET/CT. A recent
scientific article has demonstrated that 18F-fluoride PET scans using SUV
measurements have the potential to be a diagnostic tool in otosclerosis(. It was also demonstrated that
SUV can be considered as being as effective and accurate as kinetic modeling in
measuring the response of pagetic bones to bisphosphonates by means of
18F-fluoride PET(.
Despite these studies, there is still little experience with the use of reference
values of SUV in bone metabolism(.In the present study, the authors analyzed the normal range of SUVs in a group of
patients as well as tried to define the most appropriate values to distinguish
between normal and malignant uptakes. The authors have observed that the normal SUVs
range varies among the analyzed bone regions and that it is lower in the humerus
than in the femur, additionally, it is lower in these two bones as compared with the
first lumbar vertebral body. The authors also observed that, although the AUC is
high in the three regions, the most appropriate cutoff value to classify bone uptake
as normal or malignant varies among these regions and it is not possible to
establish one single value for the whole body.In a previous study, Win et al. have analyzed the 18F-fluoride maximum
SUVs in the skeleton(. Their
findings were similar to the findings of the present study. According to their
study, various skeletal sites have different normal SUVs and vertebral bodies tend
to show the highest values. They deeply discussed the causes of these differences in
the SUVs and related some possible explanations as a higher flow in the spine as
compared with the proximal femur(, a greater bone turnover at the spine than at other skeletal
sites(, predominance of
cortical bone in the humerus that has a lower level of bone metabolism as compared
with the lumbar spine which is rich in trabecular bone(, and the mechanical stress that lumbar vertebra
is subjected as it is a primary weight bearing bone(. However, their mean SUVs in the same bone
regions analyzed in our study are lower: 7.16 in the VB1, 2.16 in the femur and 1,71
in the humerus. The reasons for such differences between the two studies are still
to be known and should be an object of further analysis. But, one must note that
SUVs also depend on the measurement instruments and reconstruction
methods(; therefore, differences between the images
acquisition and reconstruction protocols could partially explain such discrepancies.
A more recent study developed by Sabbah et al.34 also analyzed
18F-fluoride SUVs in the skeleton. They found mean values of 10.07,
2.12 and 3.01 for maximum SUVs in the lumbar spine, humerus and femur, respectively.
These values are also compatible with the results of the present study as they
demonstrated that the mean SUVs vary among different bone structures and that the
SUV in the lumbar spine is higher than the ones in the femur and humerus. Once
again, the absolute values obtained are different from our results but they are also
different from the values obtained by Win et al.(. The reasons for such differences between the
three studies should be the same discussed above: variability in the images
acquisition and reconstruction protocols.Finally, an important aspect to be discussed is the use of ROC curves and threshold
values in the present study. ROC curves were used in two aspects, namely, to define
the most appropriate threshold to differentiate malignant from normal uptake areas
in the three bone regions and to analyze the overall 18F-fluoride PET/CT
accuracy to differentiate malignant from normal uptake in those regions. The
definition of the thresholds was important to demonstrate that those values vary
among the analyzed regions and corroborated the authors' findings that the normal
SUVs range should be established for each one of the bone regions. However, is
important to observe that the threshold values established in the present study
should not be used to classify lesions as malignant since we did not analyze the
SUVs in a group of benign lesions. Moreover, in the authors' clinical experience,
the 18F-fluoride uptake intensity in benign bone lesions could be as
intense as the uptake in malignant lesions, and some malignant lesions may present a
very low uptake. Therefore, for the time being, SUVs in 18F-fluoride
PET/CT studies should be used at most for follow-up purposes and not to classify the
lesions as malign or benign.
CONCLUSION
The SUVs normal range and the most appropriate cutoff value to differentiate normal
from malignant bone uptake vary according to bone region of analysis and it is not
possible to establish a single value for the whole skeleton.
Authors: H Schirrmeister; G Glatting; J Hetzel; K Nüssle; C Arslandemir; A K Buck; K Dziuk; A Gabelmann; S N Reske; M Hetzel Journal: J Nucl Med Date: 2001-12 Impact factor: 10.057
Authors: Frederic H Fahey; Paul E Kinahan; Robert K Doot; Mehmet Kocak; Harold Thurston; Tina Young Poussaint Journal: Med Phys Date: 2010-07 Impact factor: 4.071
Authors: Stephanie N Histed; Maria L Lindenberg; Esther Mena; Baris Turkbey; Peter L Choyke; Karen A Kurdziel Journal: Nucl Med Commun Date: 2012-04 Impact factor: 1.690
Authors: Robert K Doot; Mark Muzi; Lanell M Peterson; Erin K Schubert; Julie R Gralow; Jennifer M Specht; David A Mankoff Journal: J Nucl Med Date: 2010-03-17 Impact factor: 10.057
Authors: Martin Hetzel; Coskun Arslandemir; Hans-Helmut König; Andreas K Buck; Karin Nüssle; Gerhard Glatting; Andreas Gabelmann; Jürgen Hetzel; Vinzenz Hombach; Holger Schirrmeister Journal: J Bone Miner Res Date: 2003-12 Impact factor: 6.741