Abstract

Objectives 68Ga-P15-041 (68Ga-HBED-CC-BP) is a novel bone-seeking PET radiotracer, which can be readily prepared by using a simple kit formulation and an in-house 68Ga/68Ge generator. The aim of this study is to assess the potential human application of 68Ga-P15-041 for clinical PET/CT imaging and to compare its efficacy to detect bone metastases of different cancers with 99mTc-MDP whole-body bone scintigraphy (WBBS).MethodsInitial kinetic study using Patlak analysis and parametric maps were performed in five histopathologically proven cancer patients (three males, two females) using 68Ga-P15-041 PET/CT scan only. Another group of 51 histopathologically proven cancer patients (22 males, 29 females) underwent both 99mTc-MDP WBBS and 68Ga-P15-041 PET/CT scans within a week, sequentially. Using either pathology examination or follow-up CT or MRI scans as the gold standard, the diagnostic efficacy and receiver operating characteristic curve (ROC) of the two methods in identifying bone metastases were compared (p <0.05, statistically significant).ResultsFifty-one patients were imaged, and 174 bone metastatic sites were identified. 68Ga-P15-041 PET/CT and 99mTc-MDP WBBS detected 162 and 81 metastases, respectively. Sensitivity, specificity, positive predictive value, negative predictive value and accuracy of 68Ga-P15-041 PET/CT and 99mTc-MDP WBBS were 93.1% vs 81.8%, 89.8% vs 90.7%, 77.5% vs 69.2%, 97.2% vs 93.4% and 90.7% vs 88.4%, respectively. Our results showed that the mean of SUVmax was significantly higher in metastases than that in benign lesions, 15.1 ± 6.9 vs. 5.6 ± 1.3 (P <0.001). Using SUVmax = 7.6 as the cut-off value by PET/CT, it was possible to predict the occurrence of metastases (AUC = 0.976; P <0.001; 95% CI: 0.946–0.999). However, it was impossible to distinguish osteoblastic bone metastases from osteolytic bone lesions. Parametric maps based on Patlak analysis provided excellent images and highly valuable quantitative information.Conclusions 68Ga-P15-041 PET/CT, offering a rapid bone scan and high contrast images in minutes, is superior to the current method of choice in detecting bone metastases. It is reasonable to suggest that 68Ga-P15-041 PET/CT could become a valuable routine nuclear medicine procedure in providing excellent images for detecting bone metastases in cancer patients. 68Ga-P15-041 could become a valuable addition expanding the collection of 68Ga-based routine nuclear medicine procedures where 18F fluoride is not currently available.

Highlights

  • The bone is the third most common site of metastasis for a wide range of solid tumors, and about 70 and 80% of cancer patients will eventually develop bone metastasis [1,2,3]

  • In this study we further evaluate the ability of using maximum standardized uptake value (SUVmax) for measuring the sensitivity, specificity, positive and negative predictive value (PPV and NPV), and accuracy of 68Ga-P15-041 positron emission tomography/computed tomography (PET/CT) images to detect bone metastases in cancer patients

  • Increased uptakes were observed in the L4 vertebral right gluteus maximus where a relatively lower liver activity was found comparing with bone metastases

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Summary

Introduction

The bone is the third most common site of metastasis for a wide range of solid tumors, and about 70 and 80% of cancer patients will eventually develop bone metastasis [1,2,3]. Due to its advantage of overall high sensitivity and easy evaluation of the entire skeleton at a relatively low cost in comparison to conventional radiographs, 99mTc-MDP whole body bone scan (WBBS) has become the most common method for screening bone metastasis. Compared with WBBS, PET/CT provides higher resolution bone images, it could detect lesions not readily detectable by WBBS. This method might be more suitable for the detection of bone metastases [10,11,12,13,14], and it might have important clinical significance for guiding the selection of tumor treatment and prognosis on patient management. With the improvement of PET/CT equipment resulting in higher spatial resolution, image quality, multidimensional information and anatomical localization have led to better images for diagnosis and improvement of patient management

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