The Value of Targeting CXCR4 With 68Ga-Pentixafor PET/CT for Subtyping Primary Aldosteronism

Primary aldosteronism (PA) is one of the leading causes of secondary hypertension, and its diagnostic subtyping consistently presents a clinical challenge.

This study aimed to investigate the potential of 68Ga-Pentixafor positron emission tomography/computed tomography (PET/CT) in PA classification and its applicability in guiding the development of clinical treatment plans by increasing the sample size.

We prospectively enrolled 120 patients with either PA or nonfunctional adenoma (NFA) for analysis. All patients underwent 68Ga-Pentixafor PET/CT. Of these, 11 patients underwent adrenal venous sampling (AVS), 77 underwent adrenalectomy, 76 received pathological diagnoses, and 71 underwent immunohistochemical detection of aldosterone synthase (CYP11B2). Immunohistochemistry for C-X-C chemokine receptor 4 (CXCR4) was performed in 62 cases. Follow-up was conducted for all patients.

Among the 120 patients, 66 were diagnosed with aldosterone-producing adenoma (APA), 33 with idiopathic hyperaldosteronism (IHA), and 21 with NFA. For APA patients, the sensitivity, specificity, and accuracy of visual analysis using 68Ga-Pentixafor PET/CT were 92.40%, 94.40%, and 93.33%, respectively. Furthermore, for APA patients with a nodule greater than 1 cm in diameter, when the maximum standard uptake value was 7.3 or greater, the specificity was 100%; and for APA patients with a nodule less than 1 cm in diameter, 68Ga-Pentixafor PET/CT also exhibited high sensitivity. AVS was successfully performed in 5 patients. Among the 5 patients, the concordance rate between the AVS and 68Ga-Pentixafor PET/CT for PA subtyping was 60%. In the 77 patients who underwent adrenalectomy, 61 PET/CT scans displayed positive lesions, all of which benefited from the surgery. Additionally, the concordance rate between 68Ga-Pentixafor PET/CT imaging and CYP11B2 was 81.69%.

68Ga-Pentixafor PET/CT is a reliable and noninvasive functional imaging technique that demonstrates high accuracy in classifying PA and provides valuable guidance for clinical treatment decision-making.