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Multiparametric PET/MR (PET and MR-IVIM) for the evaluation of early treatment response and prediction of tumor recurrence in patients with locally advanced cervical cancer

  • Molecular Imaging
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Abstract

Objectives

To assess the value of 18F-FDG PET and MR-IVIM parameters before and during concurrent chemoradiotherapy (CCRT) for evaluating early treatment response and predicting tumor recurrence in patients with locally advanced cervical cancer (LACC) using a hybrid PET/MR scanner.

Methods

Fifty-one patients with LACC underwent pelvic PET/MR scans with an IVIM sequence at two time-points (pretreatment [pre] and midtreatment [mid]). Pre- and mid-PET parameters (SUVmax, MTV, TLG) and IVIM parameters (D, F, D*) and their percentage changes (Δ%SUVmax, Δ%MTV, Δ%TLG, Δ%D, Δ%F, Δ%D*) were calculated. We selected independent imaging parameters and built a combined prediction model incorporating imaging parameters and clinicopathological risk factors. The performance of the combinative evaluation for tumor early shrinkage rates (TESR) and the prediction model for tumor recurrence was assessed.

Results

Thirty-two patients were classified into the good response (GR) group with TESR ≥ 50%, and 19 patients were categorized into the poor response (PR) group with TESR < 50%. Δ%D (p = 0.013) and Δ%F (p = 0.006) are independently related to TESR with superior combined diagnostic ability (AUC = 0.901). Pre-TLG, Δ%D, and suspicious lymph node metastasis (SLNM) were selected for the construction of the combined prediction model. The model for identifying the patients with high risk of tumor recurrence reached a moderate predictive ability and good stability with c-index of 0.764 (95% CI, 0.672–0.855).

Conclusion

The combined prediction model based on pretreatment PET metabolic parameter (pre-TLG), IVIM-D percentage changes, and LNs status provides great potential to identify the LACC patients with high risk of recurrence at early stage of CCRT.

Key Points

PET/MR plus IVIM offers various complementary information for LACC.

IVIM-D and IVIM-F percentage changes are independently related to tumor early shrinkage rates.

The combined prediction model can help identify the LACC patients with high risk of tumor recurrence.

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Abbreviations

18F-FDG:

18F-fluorodeoxyglucose

ADC:

Apparent diffusion coefficient

CCRT:

Concurrent chemoradiotherapy

D:

Slow diffusion coefficient

D*:

Fast diffusion coefficient

DWI:

Diffusion-weighted imaging

F:

Perfusion-related diffusion fraction

FIGO:

Federation International of Gynecology and Obstetrics

GR:

Good response

IVIM:

Intravoxel incoherent motion

LACC:

Locally advanced cervical cancer

LNs:

Lymph nodes

MaxDiam:

Maximum diameter

MRI:

Magnetic resonance imaging

MTV:

Metabolic tumor volume

PET:

Positron emission tomography

PR:

Poor response

RFS:

Recurrence-free survival

ROC:

Receiver operator characteristic

ROI:

Region of interest

SLNM:

Suspicious lymph nodes metastasis

SUVmax :

Maximum standardized uptake value

TESR:

Tumor early shrinkage rates

TLG:

Total lesion glycolysis

VOI:

Volume of interest

Week 4:

The end of the fourth week during CCRT

References

  1. Al-Mansour Z, Verschraegen C (2010) Locally advanced cervical cancer: what is the standard of care? Curr Opin Oncol 22:503–512

    Article  Google Scholar 

  2. Kirwan JM, Symonds P, Green JA, Tierney J, Collingwood M, Williams CJ (2003) A systematic review of acute and late toxicity of concomitant chemoradiation for cervical cancer. Radiother Oncol 68:217–226

    Article  Google Scholar 

  3. Barwick TD, Taylor A, Rockall A (2013) Functional imaging to predict tumor response in locally advanced cervical cancer. Curr Oncol Rep 15:549–558

    Article  Google Scholar 

  4. Herrera FG, Breuneval T, Prior JO, Bourhis J, Ozsahin M (2016) [18F]FDG-PET/CT metabolic parameters as useful prognostic factors in cervical cancer patients treated with chemo-radiotherapy. Radiat Oncol 11:43

    Article  Google Scholar 

  5. Yoo J, Choi JY, Moon SH et al (2012) Prognostic significance of volume-based metabolic parameters in uterine cervical cancer determined using 18F-fluorodeoxyglucose positron emission tomography. Int J Gynecol Cancer 22:1226–1233

    Article  Google Scholar 

  6. Kidd EA, Thomas M, Siegel BA, Dehdashti F, Grigsby PW (2013) Changes in cervical cancer FDG uptake during chemoradiation and association with response. Int J Radiat Oncol Biol Phys 85:116–122

    Article  Google Scholar 

  7. Liu Y, Ye Z, Sun H, Bai R (2015) Clinical application of diffusion-weighted magnetic resonance imaging in uterine cervical cancer. Int J Gynecol Cancer 25:1073–1078

    Article  Google Scholar 

  8. Le Bihan D, Breton E, Lallemand D, Aubin ML, Vignaud J, Laval-Jeantet M (1988) Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging. Radiology 168:497–505

    Article  Google Scholar 

  9. Zhu L, Zhu L, Shi H et al (2016) Evaluating early response of cervical cancer under concurrent chemo-radiotherapy by intravoxel incoherent motion MR imaging. BMC Cancer 16:79

    Article  Google Scholar 

  10. Zhu L, Zhu L, Wang H et al (2017) Predicting and early monitoring treatment efficiency of cervical cancer under concurrent chemoradiotherapy by intravoxel incoherent motion magnetic resonance imaging. J Comput Assist Tomogr 41:422–429

    Article  Google Scholar 

  11. Zhu L, Wang H, Zhu L et al (2017) Predictive and prognostic value of intravoxel incoherent motion (IVIM) MR imaging in patients with advanced cervical cancers undergoing concurrent chemoradiotherapy. Sci Rep 7:11635

    Article  Google Scholar 

  12. Grueneisen J, Schaarschmidt BM, Heubner M et al (2015) Integrated PET/MRI for whole-body staging of patients with primary cervical cancer: preliminary results. Eur J Nucl Med Mol Imaging 42:1814–1824

    Article  Google Scholar 

  13. Park JJ, Kim CK, Park BK (2016) Prognostic value of diffusion-weighted magnetic resonance imaging and 18F-fluorodeoxyglucose-positron emission tomography/computed tomography after concurrent chemoradiotherapy in uterine cervical cancer. Radiother Oncol 120:507–511

    Article  Google Scholar 

  14. Akkas BE, Demirel BB, Dizman A, Vural GU (2013) Do clinical characteristics and metabolic markers detected on positron emission tomography/computerized tomography associate with persistent disease in patients with in-operable cervical cancer? Ann Nucl Med 27:756–763

    Article  CAS  Google Scholar 

  15. Makino H, Kato H, Furui T, Morishige K, Kanematsu M (2014) Predictive value of diffusion-weighted magnetic resonance imaging during chemoradiotherapy for uterine cervical cancer. J Obstet Gynaecol Res 40:1098–1104

    Article  Google Scholar 

  16. Onal C, Erbay G, Guler OC (2016) Treatment response evaluation using the mean apparent diffusion coefficient in cervical cancer patients treated with definitive chemoradiotherapy. J Magn Reson Imaging 44:1010–1019

    Article  Google Scholar 

  17. Miccò M, Vargas HA, Burger IA et al (2014) Combined pre-treatment MRI and 18F-FDG PET/CT parameters as prognostic biomarkers in patients with cervical cancer. Eur J Radiol 83:1169–1176

    Article  Google Scholar 

  18. Bae JM, Kim CK, Park JJ, Park BK (2016) Can diffusion-weighted magnetic resonance imaging predict tumor recurrence of uterine cervical cancer after concurrent chemoradiotherapy? Abdom Radiol (NY) 41:1604–1610

    Article  Google Scholar 

  19. Liu FY, Su TP, Wang CC et al (2018) Roles of posttherapy 18F-FDG PET/CT in patients with advanced squamous cell carcinoma of the uterine cervix receiving concurrent chemoradiotherapy. Eur J Nucl Med Mol Imaging 45:1197–1204

    Article  CAS  Google Scholar 

  20. Kuang F, Yan Z, Wang J, Rao Z (2014) The value of diffusion weighted MRI to evaluate the response to radiochemotherapy for cervical cancer. Magn Reson Imaging 32:342–349

    Article  Google Scholar 

  21. Das S, Chandramohan A, Reddy JK et al (2015) Role of conventional and diffusion weighted MRI in predicting treatment response after low dose radiation and chemotherapy in locally advanced carcinoma cervix. Radiother Oncol 117:288–293

    Article  Google Scholar 

  22. Liu Y, Sun H, Bai R, Ye Z (2015) Time-window of early detection of response to concurrent chemoradiation in cervical cancer by using diffusion-weighted MR imaging: a pilot study. Radiat Oncol 10:185

    Article  Google Scholar 

  23. Liu FY, Lai CH, Yang LY et al (2016) Utility of 18F-FDG PET/CT in patients with advanced squamous cell carcinoma of the uterine cervix receiving concurrent chemoradiotherapy: a parallel study of a prospective randomized trial. Eur J Nucl Med Mol Imaging 43:1812–1823

    Article  CAS  Google Scholar 

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Acknowledgements

All authors sincerely thank Dr. Shengtao Lin, Dr. Zhongwei Chen, and SAGE Language Service Team for providing language help on the writing of the paper. The authors also thank Dr. Qijun Wu for his constructive advice on the statistical analysis.

Funding

This study has received funding by the National Natural Science Foundation of China (No.81401438), LIAONING Science & Technology Project (No.2017225012).

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Correspondence to Hongzan Sun.

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Guarantor

The scientific guarantor of this publication is Dr. Hongzan Sun.

Conflict of interest

The authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of the article.

Statistics and biometry

An expert in statistics Dr. Qijun Wu kindly provided statistical advice for this manuscript.

Informed consent

Written informed consent was obtained from all patients in this study.

Ethical approval

Institutional Review Board approval from Ethics Committee of Shengjing Hospital affiliated to China Medical University (Shenyang, China) was obtained.

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• prospective

• prognostic study

• performed at one institution

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Gao, S., Du, S., Lu, Z. et al. Multiparametric PET/MR (PET and MR-IVIM) for the evaluation of early treatment response and prediction of tumor recurrence in patients with locally advanced cervical cancer. Eur Radiol 30, 1191–1201 (2020). https://doi.org/10.1007/s00330-019-06428-w

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