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Published in: European Journal of Nuclear Medicine and Molecular Imaging 6/2021

Open Access 01-06-2021 | Cervical Cancer | Original Article

Optimal method for metabolic tumour volume assessment of cervical cancers with inter-observer agreement on [18F]-fluoro-deoxy-glucose positron emission tomography with computed tomography

Authors: Mubarik A. Arshad, Samuel Gitau, Henry Tam, Won-Ho E. Park, Neva H. Patel, Andrea Rockall, Eric O. Aboagye, Nishat Bharwani, Tara D. Barwick

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 6/2021

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Abstract

Purpose

Cervical cancer metabolic tumour volume (MTV) derived from [18F]-FDG PET/CT has a role in prognostication and therapy planning. There is no standard method of outlining MTV on [18F]-FDG PET/CT. The aim of this study was to assess the optimal method to outline primary cervical tumours on [18F]-FDG PET/CT using MRI-derived tumour volumes as the reference standard.

Methods

81 consecutive cervical cancer patients with pre-treatment staging MRI and [18F]-FDG PET/CT imaging were included. MRI volumes were compared with different PET segmentation methods. Method 1 measured MTVs at different SUVmax thresholds ranging from 20 to 60% (MTV20-MTV60) with bladder masking and manual adjustment when required. Method 2 created an isocontour around the tumour prior to different SUVmax thresholds being applied. Method 3 used an automated gradient method. Inter-observer agreement of MTV, following manual adjustment when required, was recorded.

Results

For method 1, the MTV25 and MTV30 were closest to the MRI volumes for both readers (mean percentage change from MRI volume of 2.9% and 13.4% for MTV25 and − 13.1% and − 2.0% for MTV30 for readers 1 and 2). 70% of lesions required manual adjustment at MTV25 compared with 45% at MTV30. There was excellent inter-observer agreement between MTV30 to MTV60 (ICC ranged from 0.898–0.976 with narrow 95% confidence intervals (CIs)) and moderate agreement at lower thresholds (ICC estimates of 0.534 and 0.617, respectively for the MTV20 and MTV25 with wide 95% CIs). Bladder masking was performed in 86% of cases overall. For method 2, excellent correlation was demonstrated at MTV25 and MTV30 (mean % change from MRI volume of −3.9% and − 8.6% for MTV25 and − 16.9% and 19% for MTV30 for readers 1 and 2, respectively). This method also demonstrated excellent ICC across all thresholds with no manual adjustment. Method 3 demonstrated excellent ICC of 0.96 (95% CI 0.94–0.97) but had a mean percentage difference from the MRI volume of − 19.1 and − 18.2% for readers 1 and 2, respectively. 21% required manual adjustment for both readers.

Conclusion

MTV30 provides the optimal correlation with MRI volume taking into consideration the excellent inter-reader agreement and less requirement for manual adjustment.
Appendix
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Literature
1.
2.
go back to reference Bray F, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.PubMed Bray F, et al. Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin. 2018;68(6):394–424.PubMed
3.
go back to reference Chung HH, et al. Prognostic value of metabolic tumor volume measured by FDG-PET/CT in patients with cervical cancer. Gynecol Oncol. 2011;120(2):270–4.PubMed Chung HH, et al. Prognostic value of metabolic tumor volume measured by FDG-PET/CT in patients with cervical cancer. Gynecol Oncol. 2011;120(2):270–4.PubMed
4.
go back to reference Khan SR, Rockall AG, Barwick TD. Molecular imaging in cervical cancer. Q J Nucl Med Mol Imaging. 2016;60(2):77–92.PubMed Khan SR, Rockall AG, Barwick TD. Molecular imaging in cervical cancer. Q J Nucl Med Mol Imaging. 2016;60(2):77–92.PubMed
5.
go back to reference Han S, et al. Prognostic value of volume-based metabolic parameters of (18)F-FDG PET/CT in uterine cervical cancer: a systematic review and meta-analysis. AJR Am J Roentgenol. 2018;211(5):1112–21.PubMed Han S, et al. Prognostic value of volume-based metabolic parameters of (18)F-FDG PET/CT in uterine cervical cancer: a systematic review and meta-analysis. AJR Am J Roentgenol. 2018;211(5):1112–21.PubMed
6.
go back to reference Kidd EA, et al. FDG-PET-based prognostic nomograms for locally advanced cervical cancer. Gynecol Oncol. 2012;127(1):136–40.PubMedPubMedCentral Kidd EA, et al. FDG-PET-based prognostic nomograms for locally advanced cervical cancer. Gynecol Oncol. 2012;127(1):136–40.PubMedPubMedCentral
7.
go back to reference Mahantshetty U, et al. Magnetic resonance image-based dose volume parameters and clinical outcome with high dose rate brachytherapy in cervical cancers--a validation of GYN GEC-ESTRO brachytherapy recommendations. Clin Oncol (R Coll Radiol). 2011;23(5):376–7. Mahantshetty U, et al. Magnetic resonance image-based dose volume parameters and clinical outcome with high dose rate brachytherapy in cervical cancers--a validation of GYN GEC-ESTRO brachytherapy recommendations. Clin Oncol (R Coll Radiol). 2011;23(5):376–7.
8.
go back to reference Haie-Meder C, et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (I): concepts and terms in 3D image based 3D treatment planning in cervix cancer brachytherapy with emphasis on MRI assessment of GTV and CTV. Radiother Oncol. 2005;74(3):235–45.PubMed Haie-Meder C, et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (I): concepts and terms in 3D image based 3D treatment planning in cervix cancer brachytherapy with emphasis on MRI assessment of GTV and CTV. Radiother Oncol. 2005;74(3):235–45.PubMed
9.
go back to reference Potter R, et al. Recommendations from gynaecological (GYN) GEC ESTRO working group (II): concepts and terms in 3D image-based treatment planning in cervix cancer brachytherapy-3D dose volume parameters and aspects of 3D image-based anatomy, radiation physics, radiobiology. Radiother Oncol. 2006;78(1):67–77.PubMed Potter R, et al. Recommendations from gynaecological (GYN) GEC ESTRO working group (II): concepts and terms in 3D image-based treatment planning in cervix cancer brachytherapy-3D dose volume parameters and aspects of 3D image-based anatomy, radiation physics, radiobiology. Radiother Oncol. 2006;78(1):67–77.PubMed
10.
go back to reference Miller TR, Grigsby PW. Measurement of tumor volume by PET to evaluate prognosis in patients with advanced cervical cancer treated by radiation therapy. Int J Radiat Oncol Biol Phys. 2002;53(2):353–9.PubMed Miller TR, Grigsby PW. Measurement of tumor volume by PET to evaluate prognosis in patients with advanced cervical cancer treated by radiation therapy. Int J Radiat Oncol Biol Phys. 2002;53(2):353–9.PubMed
11.
go back to reference Ho KC, et al. Correlation of apparent diffusion coefficients measured by 3T diffusion-weighted MRI and SUV from FDG PET/CT in primary cervical cancer. Eur J Nucl Med Mol Imaging. 2009;36(2):200–8.PubMed Ho KC, et al. Correlation of apparent diffusion coefficients measured by 3T diffusion-weighted MRI and SUV from FDG PET/CT in primary cervical cancer. Eur J Nucl Med Mol Imaging. 2009;36(2):200–8.PubMed
12.
go back to reference Ma DJ, Zhu JM, Grigsby PW. Tumor volume discrepancies between FDG-PET and MRI for cervical cancer. Radiother Oncol. 2011;98(1):139–42.PubMed Ma DJ, Zhu JM, Grigsby PW. Tumor volume discrepancies between FDG-PET and MRI for cervical cancer. Radiother Oncol. 2011;98(1):139–42.PubMed
13.
go back to reference Upasani MN, et al. 18-fluoro-deoxy-glucose positron emission tomography with computed tomography-based gross tumor volume estimation and validation with magnetic resonance imaging for locally advanced cervical cancers. Int J Gynecol Cancer. 2012;22(6):1031–6.PubMed Upasani MN, et al. 18-fluoro-deoxy-glucose positron emission tomography with computed tomography-based gross tumor volume estimation and validation with magnetic resonance imaging for locally advanced cervical cancers. Int J Gynecol Cancer. 2012;22(6):1031–6.PubMed
15.
go back to reference Zhang S, et al. Defining PET tumor volume in cervical cancer with hybrid PET/MRI: a comparative study. Nucl Med Commun. 2014;35(7):712–9.PubMed Zhang S, et al. Defining PET tumor volume in cervical cancer with hybrid PET/MRI: a comparative study. Nucl Med Commun. 2014;35(7):712–9.PubMed
16.
go back to reference Lai AYT, et al. Concordance of FDG PET/CT metabolic tumour volume versus DW-MRI functional tumour volume with T2-weighted anatomical tumour volume in cervical cancer. BMC Cancer. 2017;17(1):825.PubMedPubMedCentral Lai AYT, et al. Concordance of FDG PET/CT metabolic tumour volume versus DW-MRI functional tumour volume with T2-weighted anatomical tumour volume in cervical cancer. BMC Cancer. 2017;17(1):825.PubMedPubMedCentral
17.
go back to reference Cegla P, et al. The effect of different segmentation methods on primary tumour metabolic volume assessed in (18)F-FDG-PET/CT in patients with cervical cancer, for radiotherapy planning. Contemp Oncol (Pozn). 2019;23(3):183–6. Cegla P, et al. The effect of different segmentation methods on primary tumour metabolic volume assessed in (18)F-FDG-PET/CT in patients with cervical cancer, for radiotherapy planning. Contemp Oncol (Pozn). 2019;23(3):183–6.
18.
go back to reference Boellaard R, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54.PubMed Boellaard R, et al. FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0. Eur J Nucl Med Mol Imaging. 2015;42(2):328–54.PubMed
19.
go back to reference Boellaard R, et al. Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study. J Nucl Med. 2004;45(9):1519–27.PubMed Boellaard R, et al. Effects of noise, image resolution, and ROI definition on the accuracy of standard uptake values: a simulation study. J Nucl Med. 2004;45(9):1519–27.PubMed
20.
go back to reference Krak NC, et al. Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial. Eur J Nucl Med Mol Imaging. 2005;32(3):294–301.PubMed Krak NC, et al. Effects of ROI definition and reconstruction method on quantitative outcome and applicability in a response monitoring trial. Eur J Nucl Med Mol Imaging. 2005;32(3):294–301.PubMed
21.
go back to reference Frings V, et al. Repeatability of metabolically active volume measurements with 18F-FDG and 18F-FLT PET in non-small cell lung cancer. J Nucl Med. 2010;51(12):1870–7.PubMed Frings V, et al. Repeatability of metabolically active volume measurements with 18F-FDG and 18F-FLT PET in non-small cell lung cancer. J Nucl Med. 2010;51(12):1870–7.PubMed
22.
go back to reference Akkas BE, et al. 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. 2013;27(8):756–63.PubMed Akkas BE, et al. 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. 2013;27(8):756–63.PubMed
23.
go back to reference Kidd EA, et al. Changes in cervical cancer FDG uptake during chemoradiation and association with response. Int J Radiat Oncol Biol Phys. 2013;85(1):116–22.PubMed Kidd EA, et al. Changes in cervical cancer FDG uptake during chemoradiation and association with response. Int J Radiat Oncol Biol Phys. 2013;85(1):116–22.PubMed
24.
go back to reference Sun Y, Lu P, Yu L. The volume-metabolic combined parameters from (18)F-FDG PET/CT may help predict the outcomes of cervical carcinoma. Acad Radiol. 2016;23(5):605–10.PubMed Sun Y, Lu P, Yu L. The volume-metabolic combined parameters from (18)F-FDG PET/CT may help predict the outcomes of cervical carcinoma. Acad Radiol. 2016;23(5):605–10.PubMed
25.
go back to reference Hong JH, et al. Prognostic value of total lesion glycolysis measured by 18F-FDG PET/CT in patients with locally advanced cervical cancer. Nucl Med Commun. 2016;37(8):843–8.PubMed Hong JH, et al. Prognostic value of total lesion glycolysis measured by 18F-FDG PET/CT in patients with locally advanced cervical cancer. Nucl Med Commun. 2016;37(8):843–8.PubMed
26.
go back to reference Burger IA, et al. (18)F-FDG PET/CT of non–small cell lung carcinoma under neoadjuvant chemotherapy: background-based adaptive-volume metrics outperform TLG and MTV in predicting Histopathologic response. J Nucl Med. 2016;57(6):849–54.PubMed Burger IA, et al. (18)F-FDG PET/CT of non–small cell lung carcinoma under neoadjuvant chemotherapy: background-based adaptive-volume metrics outperform TLG and MTV in predicting Histopathologic response. J Nucl Med. 2016;57(6):849–54.PubMed
27.
go back to reference Hatt M, et al. Classification and evaluation strategies of auto-segmentation approaches for PET: report of AAPM task group no. 211. Med Phys. 2017;44(6):e1–e42.PubMed Hatt M, et al. Classification and evaluation strategies of auto-segmentation approaches for PET: report of AAPM task group no. 211. Med Phys. 2017;44(6):e1–e42.PubMed
28.
go back to reference Soussan M, et al. Relationship between tumor heterogeneity measured on FDG-PET/CT and pathological prognostic factors in invasive breast cancer. PLoS One. 2014;9(4):e94017.PubMedPubMedCentral Soussan M, et al. Relationship between tumor heterogeneity measured on FDG-PET/CT and pathological prognostic factors in invasive breast cancer. PLoS One. 2014;9(4):e94017.PubMedPubMedCentral
29.
go back to reference Soret M, Bacharach SL, Buvat I. Partial-volume effect in PET tumor imaging. J Nucl Med. 2007;48(6):932–45.PubMed Soret M, Bacharach SL, Buvat I. Partial-volume effect in PET tumor imaging. J Nucl Med. 2007;48(6):932–45.PubMed
30.
go back to reference Werner-Wasik M, et al. What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom. Int J Radiat Oncol Biol Phys. 2012;82(3):1164–71.PubMed Werner-Wasik M, et al. What is the best way to contour lung tumors on PET scans? Multiobserver validation of a gradient-based method using a NSCLC digital PET phantom. Int J Radiat Oncol Biol Phys. 2012;82(3):1164–71.PubMed
31.
go back to reference Dimopoulos JC, et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (IV): basic principles and parameters for MR imaging within the frame of image based adaptive cervix cancer brachytherapy. Radiother Oncol. 2012;103(1):113–22.PubMedPubMedCentral Dimopoulos JC, et al. Recommendations from Gynaecological (GYN) GEC-ESTRO Working Group (IV): basic principles and parameters for MR imaging within the frame of image based adaptive cervix cancer brachytherapy. Radiother Oncol. 2012;103(1):113–22.PubMedPubMedCentral
32.
go back to reference Jung DC, et al. The validity of tumour diameter assessed by magnetic resonance imaging and gross specimen with regard to tumour volume in cervical cancer patients. Eur J Cancer. 2008;44(11):1524–8.PubMed Jung DC, et al. The validity of tumour diameter assessed by magnetic resonance imaging and gross specimen with regard to tumour volume in cervical cancer patients. Eur J Cancer. 2008;44(11):1524–8.PubMed
33.
go back to reference Armitage P, Berry G, Matthews JNS. Statistical methods in medical research. 4th ed. Wiley-Blackwell; 2001. Armitage P, Berry G, Matthews JNS. Statistical methods in medical research. 4th ed. Wiley-Blackwell; 2001.
34.
go back to reference Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–63.PubMedPubMedCentral Koo TK, Li MY. A guideline of selecting and reporting intraclass correlation coefficients for reliability research. J Chiropr Med. 2016;15(2):155–63.PubMedPubMedCentral
35.
go back to reference Prat J. Staging classification for cancer of the ovary, fallopian tube, and peritoneum. Int J Gynaecol Obstet. 2014;124(1):1–5.PubMed Prat J. Staging classification for cancer of the ovary, fallopian tube, and peritoneum. Int J Gynaecol Obstet. 2014;124(1):1–5.PubMed
36.
go back to reference Kidd EA, et al. Cervical cancer histology and tumor differentiation affect 18F-fluorodeoxyglucose uptake. Cancer. 2009;115(15):3548–54.PubMed Kidd EA, et al. Cervical cancer histology and tumor differentiation affect 18F-fluorodeoxyglucose uptake. Cancer. 2009;115(15):3548–54.PubMed
37.
go back to reference Lin Y, et al. Opportunities for 2-[(18)F] fluoro-2-deoxy-D-glucose PET/CT in cervical-vaginal neuroendocrine carcinoma: case series and literature review. Korean J Radiol. 2012;13(6):760–70.PubMedPubMedCentral Lin Y, et al. Opportunities for 2-[(18)F] fluoro-2-deoxy-D-glucose PET/CT in cervical-vaginal neuroendocrine carcinoma: case series and literature review. Korean J Radiol. 2012;13(6):760–70.PubMedPubMedCentral
38.
go back to reference Wanet M, et al. Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: a comparison with threshold-based approaches, CT and surgical specimens. Radiother Oncol. 2011;98(1):117–25.PubMed Wanet M, et al. Gradient-based delineation of the primary GTV on FDG-PET in non-small cell lung cancer: a comparison with threshold-based approaches, CT and surgical specimens. Radiother Oncol. 2011;98(1):117–25.PubMed
39.
go back to reference Narayan K, et al. Estimation of tumor volume in cervical cancer by magnetic resonance imaging. Am J Clin Oncol. 2003;26(5):e163–8.PubMed Narayan K, et al. Estimation of tumor volume in cervical cancer by magnetic resonance imaging. Am J Clin Oncol. 2003;26(5):e163–8.PubMed
40.
go back to reference Burger IA, et al. PET quantification with a histogram derived total activity metric: superior quantitative consistency compared to total lesion glycolysis with absolute or relative SUV thresholds in phantoms and lung cancer patients. Nucl Med Biol. 2014;41(5):410–8.PubMedPubMedCentral Burger IA, et al. PET quantification with a histogram derived total activity metric: superior quantitative consistency compared to total lesion glycolysis with absolute or relative SUV thresholds in phantoms and lung cancer patients. Nucl Med Biol. 2014;41(5):410–8.PubMedPubMedCentral
41.
go back to reference Fujii S, et al. Volume measurement by diffusion-weighted imaging in cervical cancer. Yonago Acta Med. 2017;60(2):113–8.PubMedPubMedCentral Fujii S, et al. Volume measurement by diffusion-weighted imaging in cervical cancer. Yonago Acta Med. 2017;60(2):113–8.PubMedPubMedCentral
42.
go back to reference Dimopoulos JC, et al. Inter-observer comparison of target delineation for MRI-assisted cervical cancer brachytherapy: application of the GYN GEC-ESTRO recommendations. Radiother Oncol. 2009;91(2):166–72.PubMed Dimopoulos JC, et al. Inter-observer comparison of target delineation for MRI-assisted cervical cancer brachytherapy: application of the GYN GEC-ESTRO recommendations. Radiother Oncol. 2009;91(2):166–72.PubMed
43.
go back to reference Kim HJ, Kim W. Method of tumor volume evaluation using magnetic resonance imaging for outcome prediction in cervical cancer treated with concurrent chemotherapy and radiotherapy. Radiat Oncol J. 2012;30(2):70–7.PubMedPubMedCentral Kim HJ, Kim W. Method of tumor volume evaluation using magnetic resonance imaging for outcome prediction in cervical cancer treated with concurrent chemotherapy and radiotherapy. Radiat Oncol J. 2012;30(2):70–7.PubMedPubMedCentral
44.
go back to reference Bettinardi V, et al. PET quantification: strategies for partial volume correction. Clin Transl Imaging. 2014;2:199–218. Bettinardi V, et al. PET quantification: strategies for partial volume correction. Clin Transl Imaging. 2014;2:199–218.
45.
go back to reference Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278(2):563–77.PubMed Gillies RJ, Kinahan PE, Hricak H. Radiomics: images are more than pictures, they are data. Radiology. 2016;278(2):563–77.PubMed
46.
go back to reference Taha AA, Hanbury A. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Med Imaging. 2015;15(1):29.PubMedPubMedCentral Taha AA, Hanbury A. Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool. BMC Med Imaging. 2015;15(1):29.PubMedPubMedCentral
47.
go back to reference Schramm G, et al. Quantitative accuracy of attenuation correction in the Philips Ingenuity TF whole-body PET/MR system: a direct comparison with transmission-based attenuation correction. Magma. 2013;26(1):115–26.PubMed Schramm G, et al. Quantitative accuracy of attenuation correction in the Philips Ingenuity TF whole-body PET/MR system: a direct comparison with transmission-based attenuation correction. Magma. 2013;26(1):115–26.PubMed
48.
go back to reference Zaidi H, et al. Design and performance evaluation of a whole-body Ingenuity TF PET-MRI system. Phys Med Biol. 2011;56(10):3091–106.PubMedPubMedCentral Zaidi H, et al. Design and performance evaluation of a whole-body Ingenuity TF PET-MRI system. Phys Med Biol. 2011;56(10):3091–106.PubMedPubMedCentral
49.
go back to reference Chen SW, et al. Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy. Sci Rep. 2018;8(1):11859.PubMedPubMedCentral Chen SW, et al. Textural features of cervical cancers on FDG-PET/CT associate with survival and local relapse in patients treated with definitive chemoradiotherapy. Sci Rep. 2018;8(1):11859.PubMedPubMedCentral
Metadata
Title
Optimal method for metabolic tumour volume assessment of cervical cancers with inter-observer agreement on [18F]-fluoro-deoxy-glucose positron emission tomography with computed tomography
Authors
Mubarik A. Arshad
Samuel Gitau
Henry Tam
Won-Ho E. Park
Neva H. Patel
Andrea Rockall
Eric O. Aboagye
Nishat Bharwani
Tara D. Barwick
Publication date
01-06-2021
Publisher
Springer Berlin Heidelberg
Published in
European Journal of Nuclear Medicine and Molecular Imaging / Issue 6/2021
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI
https://doi.org/10.1007/s00259-020-05136-8

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