Abstract
Purpose
To evaluate the value of integrated multi-parameter positron emission tomography-intravoxel incoherent motion magnetic resonance (PET-IVIM MR) imaging for pelvic lymph nodes with high FDG uptake in cervical cancer, and to determine the best combination of parameters.
Methods
A total of 38 patients with 59 lymph nodes with high FDG uptake were included. The imaging parameters of the lymph nodes were calculated by PET-IVIM MR, and the differences between lymph nodes diagnosed by postoperative pathology as metastasis versus non-metastasis were compared. We used the receiver operating characteristic (ROC) curve and logistic regression to construct a combination prediction model to filter low value and similar parameters, in order to search the optimal combination of PET/MR parameters for predicting pathologically confirmed metastatic lymph nodes. The correlation between diffusion parameters and metabolic parameters was analyzed by Spearman’s rank correlation.
Results
The maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), total metabolic tumor volume (MTV), total lesion glycolysis (TLG), apparent diffusion coefficient (ADC), diffusion-related coefficient (D), and perfusion-related parameter (F) showed significant differences between the metastatic and non-metastatic groups (p < 0.05). The combination of MTV, SUVmax, and D had the strongest predictive value (area under the ROC 0.983, p < 0.05). SUVmax, SUVmean, and TLG weakly correlated with F (R = − 0.306, − 0.290, and − 0.310; p < 0.05).
Conclusions
The combination of MTV, SUVmax, and D may have a better diagnostic performance than PET- or IVIM-derived parameters either in combination or individually. No strong correlation exists between diffusion parameters and metabolic parameters.
Key Points
• Integrated PET-IVIM MR may assist to characterize lymph node status.
• The combination of MTV, SUV max , and D may have a better diagnostic performance than PET- or IVIM-derived parameters either in combination or individually for the assessment of pelvic lymph nodes with high FDG uptake.
• No strong correlation exists between diffusion parameters and metabolic parameters in pelvic lymph nodes with high FDG uptake.
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Abbreviations
- ADC:
-
Apparent diffusion coefficient
- CCRT:
-
Concurrent chemoradiotherapy
- CT:
-
Computed tomography
- D :
-
Diffusion-related coefficient
- D*:
-
Perfusion-related diffusion coefficient
- DWI:
-
Diffusion-weighted imaging
- F :
-
Perfusion-related parameter
- FIGO:
-
The International Federation of Gynecology and Obstetrics
- IVIM:
-
Intravoxel incoherent motion
- MR:
-
Magnetic resonance
- MTV:
-
Metabolic tumor volume
- PET/CT:
-
Positron emission tomography/computed tomography
- ROC:
-
Receiver operating characteristic
- SUVmax :
-
Maximum standardized uptake values
- SUVmean :
-
Mean standardized uptake values
- TLG:
-
Total lesion glycolysis
- VOI:
-
Volume of interest
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Acknowledgments
We would like to thank the native English-speaking scientists of BioMed Proofreading Company for editing our manuscript.
Funding
This study has received funding by the National Natural Science Foundation of China (81401438), Liaoning Science & Technology Project (2017225012).
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The scientific guarantor of this publication is Hongzan Sun.
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One of the authors (Chengyan Dong) is an employee of GE Healthcare China. The remaining authors of this manuscript declare no relationships with any companies whose products or services may be related to the subject matter of the article.
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No complex statistical methods were necessary for this paper.
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Written informed consent was obtained from all subjects (patients) in this study.
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Approved by the Shengjing Hospital of China Medical University Technology ethics committee.
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• prospective
• diagnostic or prognostic study
• performed at one institution
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Xu, C., Du, S., Zhang, S. et al. Value of integrated PET-IVIM MR in assessing metastases in hypermetabolic pelvic lymph nodes in cervical cancer: a multi-parameter study. Eur Radiol 30, 2483–2492 (2020). https://doi.org/10.1007/s00330-019-06611-z
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DOI: https://doi.org/10.1007/s00330-019-06611-z