Abstract
Background: 68Ga-Pentixafor positron emission tomography/computed tomography
(PET/CT) is an emerging method for the classifying primary aldosteronism (PA). How to use
this method for PA classification is still controversial.
Methods
A retrospective study was conducted in patients with PA who underwent PET/CT.
These patients had a classification diagnosis of unilateral PA (UPA) or bilateral PA (BPA)
based on adrenal venous sampling or post -surgical outcomes. Area under the receiver
operating characteristic curve (AUC), specificity and sensitivity were used to analyze the
accuracy of the lateralization index (LI) based on adrenal maximum standardized uptake
value (SUVmax), dominant side SUVmax adjusted by liver, dominant side of SUVmax and visual
analysis.
Results
A total of 208 PA patients were included, with 128 UPA and 80 BPA. The AUC for
diagnosing UPA using LI and visual analysis were 0.82 [95% CI, 0 ·77-0·87] and 0.82 (95%
CI, 0·76 -0·87), respectively, higher than the dominant side of SUV max [0.72, (95%CI,
0·65-0·78)] and dominant side SUV max adjusted by liver [0.71,(95%CI, 0·64-0·77)]. Visual
analysis showed a sensitivity of 0.73 (95%CI,0.65-0.81) and a specificity of
0.88(95%CI,0.80-0.95). The LI cutoff of 1.50 resulted the highest Youden Index of 0.59, with
a sensitivity of 0.68 (95%CI,0.59-0.76) and a specificity of 0.91 (95%CI,0.83-0.96). When
the LI cutoff was increas ed to 1.65, the sensitivity reduced to 0.61 (95%CI,0.53-0.70), while
the specificity increased to 0.96 (95%CI,0.89-1.00).
Conclusion
Both LI and visual analysis of PET/CT could be used in the classification
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diagnosis of PA. Nevertheless, visual analysis is more sensitive, and LI is more advantageous
in specificity.
Key words: Primary aldosteronism, 68Ga-Pentixafor PET/CT, adrenal ven ous sampling,
diagnostic imaging.
Nonstandard Abbreviations and Acronyms
PA = Primary Aldosteronism
UPA = Unilateral Primary Aldosteronism
BPA = Bilateral Primary Aldosteronism
AVS = Adrenal Venous Sampling
ACTH = Adrenocorticotropic Hormone
LI = Lateralization Index
SI = Selectivity Index
ARR = Plasma Aldosterone/Renin Ratio
PRC = Plasma Renin Concentration
PAC = Plasma Aldosterone Concentration
SUVmax = maximum standardized uptake value
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Introduction
Primary Aldosteronism (PA) is one of the most common causes of secondary
hypertension, accounting for 5% -10% of all hypertensive patients 1-3. The condition is
characterized by the autonomous secretion of aldosterone due to cortical lesions, presenting
clinically with hypertension and/or hy pokalemia. Accurate differentiation between unilateral
primary aldosteronism (UPA) and bilateral primary aldosteronism (BPA) is essential, as UPA
typically requires surgical intervention, while BPA is managed with oral mineralocorticoid
receptor antagonists like spironolactone4.
Currently, the primary methods for subtype diagnosis mainly rely on adrenal CT and
adrenal venous sampling (A VS), however, the accuracy of CT is only 50%~70% 5,6. As a
result, guidelines recommend A VS for PA patients, except for those with typical imaging and
clinical features of aldosterone-producing adenoma (APA) who are younger than 35 and have
a history of hypokalemia. Despite its necessity, A VS is invasive, costly, and technically
challenging, highlighting the need for non-invasive diagnostic methods.
Our research has previously demonstrated the potential role of 68Ga-Pentixafor PET/CT
in subtyping PA and using lateralization index (LI) based on adrenal maximum standardized
uptake value (SUV max) resulted a 90% concordance rate with A VS 7. However, other
diagnostic criteria of 68Ga-Pentixafor PET/CT in subtyping PA, such as dominant side of
SUVmax, liver -adjusted SUV max and visual analysis have also been reported 8-13. As
68Ga-Pentixafor PET/CT is a newly emerging method in PA subtyping diagnosis, published
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studies were small sample-sized, with a minimum of nine and a maximum of 123 PA patients
included, and in particular, the maximum sample size of BPA were only 338-13.
This study aims to compare the accuracy of different diagnostic criteria of
68Ga-Pentixafor PET/CT in the classification diagnosis of PA by increasing the sample size
and the result might provide useful information for clinical practice.
Methods
Study Design and Participants
This retrospective study was conducted at the First Affiliated Hospital of Chongqing
Medical University in China from October 2021 to December 2023. Patients diagnosed with
PA and who received 68Ga-Pentixafor PET/CT were included. The study protocol was
approved by the Ethics Committee of the First Affiliated Hospital of Chongqing Medical
University. Informed written consent was obtained from each participant.
Exclusion criteria were: (a) concurre nt autonomous cortisol excess (cortisol after 1 mg
dexamethasone suppression test ≥ 1.8 μg/d L)14; (b) incomplete data of 68Ga-Pentixafor
PET/CT or A VS; (c) with inconclusive subtyping diagnosis (e.g. unsuccessful cannulation of
adrenal veins, received adrenalectomy without A VS but lost to follow -up after surgery,
achieved incomplete biochemical remission after partial adrenalectomy).
Diagnosis of PA
The diagnosis of PA was previously described 7,15. In brief, prior to screening,
antihypertensive medications affecting the aldosterone -renin ratio (ARR) were discontinued
or substituted with α -blockers or non -dihydropyridine calcium antagonists for 2 -4 weeks.
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Patients with hypokalemia needed potassium supplementation to maintain serum potassium
above 3.5 mmol/L as much as possible. Blood samples were collected in the morning after at
least 2 hours of a seated positi on and a 15 -minute rest period to measure plasma renin
concentration (PRC) and plasma aldosterone concentration (PAC). The screening test was
positive when the ARR was ≥ 20 pg·ml −1/μIU·mL−1 16,17. Patients who tested positive
underwent confirmatory testing using a captop ril challenge test (CCT) and/or seated saline
infusion test (SSIT). PA was confirmed if one of the following criteria was met: (a) PAC ≥
110 pg/mL two hours after 50 mg captopril 18; (b) PAC levels ≥ 80 pg/mL after 2L normal
saline infusion19.
68Ga-Pentixafor PET/CT Scanning and Image Analysis
Patients diagnosed with PA did not require specific preparation for the PET/CT scan.
The upper abdomen was scanned using a hybrid PET/CT scanner (Gemini TF 64, Philips) 10
and 40 minutes after intravenous tracer injection. Images were analyzed semi -quantitatively
and visual analysis by two experienced nucle ar medicine physicians. Adrenal CT findings
were categorized into unilateral or bilateral lesions or bilaterally normal glands. Lesions
included nodules and hyperplasia, with nodules defined as round or oval -shaped masses and
hyperplasia is characterized by an adrenal thickness ≥10mm20-22.
Visual analysis: The morphology of adrenal lesions was assessed. The uptake level of
adrenal lesions was compared to that of adjacent and contralateral adrenal tissue and lesions
with high radioactive uptake were considered positive.
Semi-Quantitative Analysis: Regions of interest were identified as CT -observed lesions
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or those with suspected increased tracer uptake on PET. SUV max was measured in these
regions, and for adrenal glands without morphology changes, SUV max was recorded. The
liver's average SUVmax of five 2 cm spheres served as the whole-body background. SUVmax at
10 minutes was used to calculate the lateralization index (LI) based on SUV max and dominant
side of SUV max adjusted by liver (DSAL). The side with higher SUV max in both adrenal
glands is the dominant side. LI based on SUV max was defined as (SUV max of dominant side)/
(SUVmax of nondominant side), and DSAL as (SUV max of dominant side in adrenal)/(SUV max
of liver)7.
A VS
The A VS was performed as previously described15. In brief, patients underwent A VS in
the morning between 08:00 and 12:00. Normal saline or ACTH was administered as
continuous infusion which was started 30 minutes before A VS. Blood samples were collected
sequentially from right and left adrenal veins. Three tubes of blood (2ml for one tube) in each
adrenal vein were collected consecutively, and one tube of blood in th e inferior vena cava
(IVC) was collected immediately after the collection of each side of the adrenal vein blood.
The average results of three adrenal vein blood samples were used for index calculation.
Cortisol and aldosterone were measured in each sample . The selectivity index (SI) was
defined as cortisol (adrenal vein)/cortisol (peripheral vein). Successful cannulation of A VS
was determined by SI ≥ 2 in non -ACTH stimulated patients, while SI ≥ 3 in ACTH
stimulated patients. LI was defined as [aldosterone -cortisol ratio of dominant adrenal vein)] /
[aldosterone-cortisol ratio of nondominant adrenal vein] while contralateral suppression was
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defined as [aldosterone -cortisol ratio of non -dominant adrenal vein] < [aldosterone -cortisol
ratio of peripheral vein]. UPA diagnosis was made if LI ≥ 4 or LI 2 -4 with contralateral
suppression and typical adenoma on the dominant side by CT, while LI < 2 or LI 2 -4 not
meeting the above criteria indicated BPA23,24.
Criteria for Classification
Definitive subtype diagnosis was based on A VS and/or post-adrenalectomy outcomes.
For patients received adrenalectomy, based on PASO criteria 25, patients achieving complete
biochemical success were classified as UPA, while those not achieving complete biochemical
success were categorized as BPA. Patients without surgery were classified according to A VS
results.
Statistical analysis
Statistical analyses were performed using SPSS Statistics Version 23.0 (IBM, Armonk,
New York). Data distribution was assessed using the Kolmogorov -Smirnov test. Normally
distributed variables were presented as mean and standard deviation (SD) and analyzed using
Student's t-test. Skewed distribution variables were presented as median (interquartile range)
and analyzed usi ng the Mann -Whitney U test. Categorical variables were described as
percentages and analyzed using the χ2 test or Fisher's Exact Test. The area under the curve
(AUC) was calculated using MedCalc software 19.5.2. P values less than 0.05 were
considered statistically significant.
Results
1. Clinical characteristics of patients
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In this study, 295 patients were included initially, but 87 were excluded, leaving 208
patients for final analysis. The cohort consisted of 128 patients diagnosed with UPA and 80
with BPA (Figure 1). There were no significant differences in age, gender, or blood pressure
between the UPA and BPA groups (P > 0.05). However, the UPA group had a lower body
mass index, serum potassium levels, and PRC compared with the BPA group. Conversely,
PAC, PAC post- CCT, PAC post- SSIT were higher in the UPA group than in the BPA group
(P<0.05) (Table 1).
CT scan findings revealed normal bilateral adrenal glands in 6.7% of patients, with a
significantly lower occurrence in the UPA group (2.3%) compared to the BPA group (13.8%).
Bilateral lesions were found in 21.6% of pati ents, with similar frequencies in both the UPA
(21.9%) and BPA (21.2%) groups. Unilateral lesions were more common in the UPA group
(75.8%) compared to the BPA group (65.0%) (Table 1).
2. Correlation of parameters between 68Ga-Pentixafor PET/CT and A VS
Successful A VS was performed on 190 patients, with 111 diagnosed with UPA and 79
with BPA. Compared to the BPA group, UPA patients exhibited significantly higher values in
the dominant side of SUV max in the adrenal gland, DSAL, dominant side of PAC and
aldosterone-to-cortisol ratio (ACR) (P < 0.001). The LI based on SUV max in the UPA group
was 1.55 times higher than in the BPA group (P < 0.001), and the LI based on A VS was 6.41
times greater in the UPA group (P < 0.001). (eTable 1)
The ACR in A VS has a signif icantly positive correlation with the LI based on SUV max
(R= 0.33, P < 0.001). In contrast, the SUV max parameters do not show significant correlations
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with the dominant side of PAC and PCC, as indicated in (eTable 2).
3. Accuracy of different diagnostic criteria of 68Ga-Pentixafor PET/CT in the
classification of PA
As illustrated in Figure 2, AUC for LI based on SUV max and visual analysis in
diagnosing UPA was 0.82. Both were superior to DSAL and dominant side of SUV max (P <
0.001). Visual analysis achieved a sensitivity of 73% and specificity of 88% for UPA
detection. The LI based on SUVmax cutoff of 1.50 provided the highest Youden Index of 0.59,
with a sensitivity of 68% and a specificity of 91%. When the LI based on SUVmax cutoff was
increased to 1.65, sensitivity decreased to 61%, but specificity improved to 96% (Table2).
To ensure specific localization to the left or right adrenal gland rather than simply
distinguishing unilateral from bilateral disease, we assesse d the concordance rate between
subtyping diagnosis based on 68Ga-Pentixafor PET/CT and diagnosis based on A VS and/or
surgery (Table 3). Con cordance rates for LI based on SUV max cutoff points at 1.5 and 1.65
were 76.9% and 75.0%, respectively, and visual analysis had a consistency rate of 78.4%.
Notably, visual analysis yielded conflicting results in the unilateral functional localization
diagnosis of two patients.
4. Subgroup analysis
Patients were stratified into subgroups based on adrenal CT: those with nodules ≥10 mm
(including unilateral and/or bilateral, n=112), with nodules <10 mm (43) and without nodules
(including cases of hyperplasia, and normal adrenals, n= 53). Subgroup analysis (eTable3)
showed that the ROC for all four criteria was higher in patients with ≥10mm nodules
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(0.77-0.87) than that in patients with less than 10mm nodules (0.53-0.73) or without nodules
(0.51-0.60). In patients with nodules ≥10mm, the ROC of LI based on SUV max was higher
than that of visual analysis (0.87 vs 0.77). However, the concordance rate to A VS and/or
Surgery between LI based on SUV max (83.9%%) and visual analysis (83.0%) was similar
(eTable4). When the cutoff of LI based on SUV max was 1.50, the sensitivity and specificity
were 0.85(95%CI,0.76-0.91) and 0.81(95%CI,0.58-0.95) respectively. Increasing the cutoff to
1.65, the sensitivity decreased to 0.79 (95%CI,0.70 -0.87), and the specificity increased to
0.90(95%CI,0.70-0.99). The sensitivit y of visual analysis [0.88(95%CI,0.79-0.94)] was
higher than LI based on SUV max, but the specificity [0.67 (95%CI,0.43 -0.85)] was lower.
While in those with nodules <10 mm or without nodules, both LI based on SUVmax and visual
analysis resulted a low sensitivity of 10%-56%, with a specificity of 93 %-100% (eTable 5).
The smallest nodule that could be identified was 8 mm.
Discussion
68Ga-Pentixafor PET/CT is an emerging method for the classification diagnosis PA , and
our study including the largest number of PA patients to date. Using A VS and/or post-surgical
biochemical outcomes as the reference standard, we compared the accuracy of four
diagnostic criteria of 68Ga-Pentixafor PET/CT in differentiating UPA from BPA. Ou r study
demonstrated that LI based on SUVmax and visual analysis was superior to dominant side of
SUVmax and dominant side of SUVmax adjusted by liver , with the two criteria showing
comparable diagnostic accuracy. Nevertheless, visual analysis is more sensitive, and LI based
on SUVmax is more advantageous in specificity. Notably, this new method should be applied
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to PA patients with obvious nodule (diameter larger than 10mm) on CT sc an, as for those
with small nodule or without nodule, 68Ga-Pentixafor PET/CT has a high probability of
missing patients with unilateral lesions who would have a better prognosis with surgery.
Heinze et al. firstly proposed using 68Ga-pentixafor PET/CT for diagnosing APA in 2018.
They summarized the imaging results of 9 patients with APA and 44 non -PA with normal
adrenal gland, using the SUVmax to identify APA showed a ROC of 0.964, with a cutoff value
of 4.9 for SUV max demonstrating a sensitivity of 88.9% and a specificity of 87.2% 13. Later,
other criteria for 68Ga-Pentixafor PET/CT in sub-typing PA have been reported, including the
LI based on SUV max, liver-adjusted SUVmax, and visual analysis. In a study by Ding et al., 25
patients with APA, 4 with idiopathic adrenal hyperplasia (IAH), and 10 with non -functional
adenoma (NFA) were prospectively recruited. In the four criteria reported, a cutoff value for
lesion-to-liver ratio of 2.36 reached the highest accuracy, with 100% sensitivity and 100%
specificity to identify APA 12. Similarly, in a study recruiting 26 PA patients (19 UPA and 7
BPA), among the four criteria reported, a cutoff value for lesion-to-liver ratio of 3.05 reached
the highest sensitivity of 94.74% and specificity of 100% to identify UPA. The author
recommended lesion-to-liver ratio as the best index for the identification of functional
lesions9. In another study from Gao et al., immunohistochemistry of aldosterone synthase was
used to identify functional nodules in postoperative adrenal tissue sections from 56 patients
(37 with APA, 9 with IHA, and 10 with NFA), and 43 functional nodules and 13
non-functional nodules were included. In comparison the visual analysis with SUVmax to
identify functional nodules, they found a higher accuracy of visual analysis (93.9% vs
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89.8%).10. Zheng et al. analyzed 120 patients, diagnosing 66 with APA, 33 with IHA, and 21
with NFA. In comparison the four criteria, they proposed visual analysis as the best criteria,
with sensitivity, specificity, and accuracy of 92.4%, 94.4%, and 93.33%, respectively 8. In our
previous, we compared three criteria ( i.e., LI based on SUV max, liver-adjusted SUV max, and
SUVmax) and we found LI based on SUV max was better than liver -adjusted SUV max, and
SUVmax. Here, we verified the superiority of LI based on SUV max to the other two criteria
and found LI based on SUV max was comparable to visual analysis. One of the reasons for the
inconsistency of the results of the above studies may be the different reference standard used
for subtyping in each study. Our current and previous study mainly used A VS as the reference
standard (91.3% and 100% patients had A VS, respectively)7. While other teams' studies were
mainly based on surgical outcomes (pathological or biochemical) 8,10-12, and the number of
BPA patients (who would be more difficult to be differentiated with UPA than the patients
with NFA) included was limited.
In our study, for the patients with nodules ≥10 mm, ROC of all the criteria were higher
than that in the patients with nodules <10 mm or without nodu le. Two published studies have
shown high accuracy of 68Ga-Pentixafor PET/CT in PA patients with nodules smaller than
1cm8,11, however, o ur results revealed a lo w sensitivity in patients with nodules <10 mm or
without nodule whatever criteria used for subtyping. In our study, the smallest nodules
identified by PET-CT was 8mm in diameter, which was close to 10mm, and we observed that
the diameter of nodules in surg ical specimens from these patients often reached or exceeded
10mm (unpublished data). In clinical practice, there could be artificial errors in CT
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measurement of nodule diameter, which may partly explain the inconsistency between our
study and previous studies.
The strengths of the study include the rigorous protocol applied to the diagnosis of PA,
the definite diagnoses of UPA as defined by surgical cure in 88.7% (94/106) or clear -cut
lateralization on A VS in the remainder and evaluation of PET-CT by two independent doctors.
But this study also has several limitations. Firstly, being retrospective, it might have caused
selection biases. Conducted at a single center, its results may not be generalizable. Future
research should include multicenter studies wit h standardized methods to validate and
improve these findings. Second is the sample size of patients with BPA. Although this is the
largest 68Ga-Pentixafor study in PA patients to date, the specificity was tested only in 80
patients with BPA, which needs to be further verified in more patients with BPA. In addition,
18.8% (24/128) UPA patients in our study did not undergo surgery. Although A VS is widely
used for subtyping of PA, surgery and follow-up would further confirm the diagnosis of UPA.
A VS is commonly used for PA subtyping, but is costly, time-consuming, and technically
complex, limiting its widespread use. While A VS remains a valuable tool for PA subtyping,
68Ga-Pentixafor PET/CT offers a viable alternative that can streamline the diagn ostic process
and reduce dependence on A VS, especially in patients with adrenal nodules measuring 10 mm
or larger. As for the diagnosis criteria of 68Ga-Pentixafor PET/CT, LI and visual analysis of
68Ga-Pentixafor PET/CT showed comparable accuracy, and bot h criteria could be used in the
classification diagnosis of PA. Nevertheless, visual analysis is more sensitive, and LI based
on SUVmax is more advantageous in specificity.
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Perspectives
Our study evaluated the accuracy of various criteria for 68Ga-Pentixafor PET/CT in
diagnosing of PA. We found that both LI based on SUV max and visual analysis of
68Ga-Pentixafor PET/CT could be effective for classifying PA. However, this method should
be limited in patients with nodules ≥ 10mm.Therefore, it is cru cial for each center to validate
these diagnostic criteria before implementation to ensure they are suitable for their specific
patient population.
Novelty and Significance
What Is New?
68Ga-Pentixafor PET/CT is a novel technique for diagnosing PA. However, the optimal
diagnostic criteria for using this method in PA classification remain a topic of debate. The
strengths of this study include the rigorous protocol applied for the diagnosis of primary PA
and the definitive diagnoses of UPA achieved thr ough surgical cure or clear lateralization on
A VS. This is the largest study to date using 68Ga-Pentixafor in patients with PA, assessing
diagnostic indicators and cut points.
What Is Relevant?
Our study demonstrated that both LI based on SUVmax and visual analysis of 68Ga-Pentixafor
PET/CT can be used to diagnose UPA. However, this method is particularly recommended
for patients with nodules larger than 10 mm.
Clinical/Pathophysiological Implications?
As for the diagnosis criteria of 68Ga-Pentixafor PET/CT, both the LI based on SUVmax and
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visual demonstrated comparable accuracy. Visual analysis proved to be more sensitive, while
LI based on SUVmax is more advantageous in specificity.
Acknowledgements
We thank other members of the Chongqing Primary Aldosteronism Study (CONPASS) Group:
Mei Mei, MD, PhD; Suxin Luo, MD, PhD; Kangla Liao, MD; Yao Zhang, MD, PhD;
Yunfeng He, MD, PhD; Yihong He, MD; Ming Xiao, PhD; and Bin Peng, PhD for
suggestions of study design and revision.
Sources of Funding: This work is supported by the National Natural Science Foundation of
China (82170825, 82100833 and U21A20355). Chongqing medical scientific research project
(Joint project of Chongqing Health Commission and Science a nd Technology Bureau,
2023MSXM002). National key research & development plan of China, major project of
prevention and treatment for common diseases (2022YFC2505300, sub -project:
2022YFC2505301, 2022YFC2505302, 2022YFC2505306). Joint Medical Research Proje ct
of Chongqing Science and Technology Commission & Chongqing Health and Family
Planning Commission (Major Project, 2022ZDXM003)
Disclosures: Authors have disclosed no conflicts of interest.
Author Contributions:
Conception and design: Q.L., H.P., and S.Y .
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Collection and assembly of data: H. S., J.H, A.Z., W.H., and Z. F.
Analysis and interpretation of the data: X.Z., F.H., and Y.S.
Drafting of the article: X.Z.
Critical revision of the article for important intellectual content: J.Y ., J.H., H.S., A.Z., and Z.
F.
Obtaining of funding: Q.L., Y . S., S.Y., and J.H.
Administrative, technical, or logistic support: J.Y ., J.H., H.S., A.Z., and W.H.
Role of the funding source
The funder of the study had no role in the study design, data collection, data analysis, data
interpretation, or writing of the report.
Data availability
The data that support the findings of this study are available from the corresponding author
(Q.L., H.P., and S.Y .), upon reasonable request.
All authors information:
Xiangshuang Zhang: Department of Endocrinology, The First Affiliated Hospital of
Chongqing Medical University, Chongqing, China.
[email protected]
Furong He: Department of Endocrinology, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China.
[email protected]
Ying Song: Department of Endocrinology, The First Affiliated Hospital of Chongqing
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Medical University, Chongqing, China.
[email protected]
Ying Jing: Department of Endocrinology, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China.
[email protected]
Jinbo Hu: Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical
University, Chongqing, China.
[email protected]
Hang Shen: Department of Endocrinology, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China.
[email protected]
Aipin Zhang: Graduate Administration Office, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China. Zap310@ 163.com
Wenwen He: Department of Endocrinology, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China.
[email protected]
Zhengping Feng: Department of Endocrinology, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China.
[email protected]
Qifu Li: Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical
University, Chongqing, China.
[email protected]
Hua Pang: Department of Nucle ar medicine, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China.
[email protected]
Shumin Yang: Department of Endocrinology, The First Affiliated Hospital of Chongqing
Medical University, Chongqing, China.
[email protected]
Supplemental Material
Tables S1–S5
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Table1. Clinical Characteristics of Patients
Characteristic Total (n=208) UPA (n=128) BPA (n=80) P Value
Age (y) 49±11 49±11 49±10 0.901
Female, n (%) 97 (46.6) 64 (50.0) 33 (41.3) 0.218
BMI (kg/m2) 25.5±3.4 25.0±3.4 26.3±3.2 0.008
SBP (mm Hg) 149 (137,163) 147 (137,162) 152 (137,164) 0.544
DBP (mm Hg) 93 (85,104) 94 (85,104) 93 (86,106) 0.871
Serum K+ (mmol/L) 3.2±0.7 3.1±0.7 3.5±0.5 <0.001
PAC (pg/ml) 231 (161,362) 262 (178,405) 200 (152,268) <0.001
PRC (μIU/ml) 3.5 (1.3,6.7) 2.4 (1.0,6.0) 4.7 (2.3,8.8) 0.003
ARR (pg·ml-1/μIU· ml-1) 69.1 (32.1,203.2) 115 (45,278) 42 (25,104) <0.001
PAC post-CCT (pg/ml) 193 (143,317) 251 (164,370) 161 (124,198) <0.001
PAC post-SSIT (pg/ml) 137 (98,244) 188 (104,326) 110 (89,144) <0.001
CT scan findings 0.006
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Bilateral normal, n (%) 14 (6.7) 3 (2.3) 11 (13.8)
Bilateral lesion, n (%) 45 (21.6) 28 (21.9) 17 (21.2)
Unilateral lesion, n (%) 149 (71.7) 97 (75.8) 52 (65.0)
Data were expressed as mean ± SD, median (interquartile range) or the number (%); UPA: unilateral primary aldosteronism; BPA: bilateral
primary aldosteronism; BMI: body mass index; SBP: systolic blood pressure; DBP: diastolic blood pressure; PAC: plasma al dosterone
concentration; PRC: plasma renin concentration; CCT: captopril challenge test; SSIT: seated saline infusion test; * Serum pot assium was the
lowest level in the medical history before treatment of hypokalemia.
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Table2. Accuracy of Different Diagnostic Criteria of 68Ga-Pentixafor PET/CT in the Classification Diagnosis of PA
Cutoff TP FP FN TN Sensitivity (95%CI) Specificity (95%CI) YI PPV NPV
LI based on SUVmax 1.35 95 19 33 61 0.74 (0.66-0.82) 0.76 (0.65-0.85) 0.50 0.83 (0.75-0.90) 0.65 (0.54-0.74)
1.50 87 7 41 73 0.68 (0.59-0.76) 0.91 (0.83-0.96) 0.59 0.93 (0.85-0.97) 0.64 (0.55-0.73)
1.65 79 3 49 77 0.61 (0.53-0.70) 0.96 (0.89-1.00) 0.58 0.96 (0.90-1.00) 0.61 (0.52-0.70)
Visual Analysis 94 9 34 71 0.73 (0.65-0.81) 0.88 (0.80-0.95) 0.62 0.91 (0.84-0.96) 0.68 (0.58-0.76)
Dominant side of SUVmax 7.0 92 35 36 45 0.72 (0.63-0.79) 0.56 (0.45-0.67) 0.28 0.72 (0.64-0.80) 0.56 (0.44-0.67)
9.0 73 17 55 63 0.57 (0.48-0.66) 0.79 (0.68-0.87) 0.36 0.81 (0.71-0.89) 0.53 (0.44-0.63)
11.0 56 4 72 76 0.43 (0.35-0.53) 0.95 (0.88-0.99) 0.39 0.93 (0.84-0.99) 0.51 (0.43-0.60)
Dominant side of SUVmax adjusted by liver 2.5 109 50 19 30 0.85 (0.78-0.91) 0.38 (0.27-0.49) 0.23 0.67 (0.61-0.76) 0.61 (0.46-0.75)
4.7 64 4 64 76 0.50 (0.41-0.59) 0.95 (0.88-0.99) 0.45 0.94 (0.86-0.98) 0.54 (0.46-0.63)
5.4 50 2 78 78 0.39 (0.31-0.48) 0.98 (0.91-1.00) 0.37 0.96 (0.87-1.00) 0.50 (0.42-0.58)
SUVmax: maximum standardized uptake value; LI: lateralization index; TP: True Positive, FP: False Positive, FN: False Negative, TN: True
Negative, PPV: positive predictive value, NPV: negative predictive value, YI: Youden index.
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Table3. Concord ance Rate Between Subtyping Diagnosis Based on 68Ga-Pentixafor PET/CT and Diagnosis Based on A VS and/or
Surgery.
Using post-surgical biochemical
outcomes or AVS as the gold standard
LI based on SUVmax≥1.50 LI based on SUVmax≥1.65 Visual analysis
Left Right Bilateral Left Right Bilateral Left Right Bilateral
Left (n=70) 51 0 19 45 0 25 52 1 7
Right (n=58) 0 36 22 0 34 24 1 40 17
Bilateral* (n=80) 7 0 73 3 0 77 8 1 71
Concordance rate, % (n) 76.9 % (160/208) 75.0% (156/208) 78. 4% (163/208)
*Bilateral normal or bilateral lesion.
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Figure 1. Flowchart of the Study
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Figure 2. Receiver -operator Characteristic Curves of 68Ga-pentixafor PET/CT
for the Diagnosis of Unilateral Primary Aldosteronism
A B
C D
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