Preview

Medical Visualization

Advanced search

High values of baseline volumetric PET biomarkers in classical Hodgkin's lymphoma as predictors of unfavourable prognosis

https://doi.org/10.24835/1607-0763-1343

Abstract

Purpose: To analyse the prognostic value of the initial volumetric PET biomarkers – the total metabolic tumor volume (MTV) and the total lesion glycolysis (TLG) – in classic Hodgkin's lymphoma (cHL) and determine their optimal threshold values for prognosis.

Material and methods. This retrospective study included 62 cHL patients with different stages who underwent staging with 18F-FGD PET/CT. The follow-up period was from 6 to 61 months after the baseline PET/CT, 41 patients remained in remission, 10 patients had refractory course, 11 relapsed. The examinations were processed with automatic (multi-foci segmentation – MFS) method to obtain MTV and TLG using two fixed absolute thresholds (SUVmax ≥ 2.5 and SUVmax ≥ 4.0) and one relative threshold (41% of SUVmax).

Results. In subgroups with disease remission (n = 41) and refractory course or relapse (n = 21), statistically significant differences between MTV and TLG with the two thresholds were found – SUVmax ≥ 2.5 and 41% of SUVmax (p < 0.05). When using threshold of SUVmax ≥ 4.0 statistically differences between the mean of MTV and TLG were no detected.

Univariate analysis revealed correlation between progression-free survival and volumetric PET biomarkers (MTV and TLG) with three thresholds (SUVmax ≥ 2.5, SUVmax ≥ 4.0, and 41% of SUVmax).

Conclusion. In cHL high values of initial volumetric PET biomarkers – MTV and TLG – calculated with three thresholds (SUVmax ≥ 2.5, SUVmax ≥ 4.0, and 41% of SUVmax) are associated with unfavourable prognosis – a high probability of refractory disease course or relapse.

The optimal prognostic thresholds values of MTV and TLG in the analysed group were determined respectively: SUVmax ≥ 2.5 – 204 cm3 and 961, at 41% of SUVmax – 105 cm3 and 620.

About the Authors

M. V. Metelkina
A.N. Bakulev Scientific Center for Cardiovascular Surgery of the Ministry of Health of the Russian Federation
Russian Federation

Maria V. Metelkina – Junior Researcher of the Nuclear Medicine Department, Radiologist,

135, Roublyevskoe shosse, Moscow 121552



I. P. Aslanidis
A.N. Bakulev Scientific Center for Cardiovascular Surgery of the Ministry of Health of the Russian Federation
Russian Federation

Irakli P. Aslanidis – Doct. of Sci. (Med.), Professor, Head of the Nuclear Medicine Department, Head of the Department of Radiodiagnosis, Radiologist,

135, Roublyevskoe shosse, Moscow 121552



O. V. Mukhortova
A.N. Bakulev Scientific Center for Cardiovascular Surgery of the Ministry of Health of the Russian Federation
Russian Federation

Olga V. Mukhortova – Doct. of Sci. (Med.), Senior Researcher of the Nuclear Medicine Department, Professor of the Department of Radiodiagnosis, Radiologist,

135, Roublyevskoe shosse, Moscow 121552



D. M. Pursanova
A.N. Bakulev Scientific Center for Cardiovascular Surgery of the Ministry of Health of the Russian Federation
Russian Federation

Diana M. Pursanova – Doct. of Sci. (Med.), Senior Researcher of the Nuclear Medicine Department, Radiologist,

135, Roublyevskoe shosse, Moscow 121552



I. V. Shurupova
A.N. Bakulev Scientific Center for Cardiovascular Surgery of the Ministry of Health of the Russian Federation
Russian Federation

Irina V. Shurupova – Doct. of Sci. (Med.), Senior Researcher of the Nuclear Medicine Department, Professor of the Department of Radiodiagnosis, Radiologist,

135, Roublyevskoe shosse, Moscow 121552



V. A. Manukova
A.N. Bakulev Scientific Center for Cardiovascular Surgery of the Ministry of Health of the Russian Federation
Russian Federation

Veronika A. Manukova – Cand. of Sci. (Med.), Radiologist,

135, Roublyevskoe shosse, Moscow 121552



T. A. Trifonova
A.N. Bakulev Scientific Center for Cardiovascular Surgery of the Ministry of Health of the Russian Federation
Russian Federation

Tatyana A. Trifonova – Cand. of Sci. (Med.), Head of the Department of Radionuclide Research Methods of the Nuclear Medicine Department, Radiologist,

135, Roublyevskoe shosse, Moscow 121552



A. M. Chekalov
R.M. Gorbacheva Research Institute of Pediatric Oncology, Hematology and Transplantation
Russian Federation

Andrey M. Chekalov – PhD Student of the B.V. Afanasyev Department of Hematology, Transfusiology, Transplantology with the Course of Pediatric Oncology of the Postgraduate Education Department, hematologist,

6–8, L’va Tolstogo str., St. Petersburg 197022



References

1. Howlader N., Noone A.M., Krapcho M. et al. SEER Cancer Statistics Review. 1975–2016. https://seer.cancer.gov/csr/1975_2016/. Accessed April 9, 2020.

2. Kobe C., Dietlein M., Franklin J. et al. Positron emission tomography has a high negative predictive value for progression or early relapse for patients with residual disease after first-line chemotherapy in advanced stage Hodgkin lymphoma. Blood. 2008; 112: 3989–3994. https://doi.org/10.1182/blood-2008-06-155820

3. Weihrauch M.R., Re D., Bischoff S. et al. Whole-body positron emission tomography using 18F-fluorodeoxyglucose for initial staging of patients with Hodgkin's disease. Ann. Hematol. 2002; 81: 20–5. https://doi.org/10.1007/s00277-001-0390-y

4. Gallamini A., Rigacci L., Merli F. et al. The predictive value of positron emission tomography scanning performed after two courses of standard therapy on treatment outcome in advanced stage Hodgkin's disease. Haematologica. 2006; 91: 475–481. PMID: 16585014

5. Gallamini A., Hutchings M., Rigacci L. et al. Early interim 2-[18F]fluoro-2-deoxy-D-glucose positron emission tomography is prognostically superior to international prognostic score in advanced-stage Hodgkin's lymphoma: a report from a joint Italian-Danish study. J. Clin. Oncol. 2007; 25: 3746–3752. https://doi.org/10.1200/jco.2007.11.6525

6. Lister T.A., Crowther D., Sutcliffe S.B. et al. Report of a committee convened to discuss the evaluation and staging of patients with Hodgkin’s disease: Cotswolds meeting. J. Clin. Oncol. 1989; 7 (11): 1630–1636. https://doi.org/10.1200/jco.1989.7.11.1630

7. Demina E.A., Tumyan G.S., Unukova E.N. et al. Modern treatment programs for primary Hodgkin's lymphoma and reasons of treatment failure. Oncohematology. 2007; 2: 24– 30. https://doi.org/10.17650/1818-8346-2007-0-2-24-30 (In Russian)

8. Mhlanga J., Chirindel A., Lodge M. et al. Quantitative PET/ CT in clinical practice: assessing the agreement of PET tumor indices using different clinical reading platforms. Nucl. Med. Commun. 2018; 39 (2): 154–160. https://doi.org/10.1097/mnm.0000000000000786

9. Brito A., Mourato F., Santos A. et al. Validation of the Semiautomatic Quantification of 18F-Fluoride PET/CT Whole-Body Skeletal Tumor Burden. J. Nucl. Med. Technol. 2018; 46 (4): 378–383. https://doi.org/10.2967/jnmt.118.211474

10. Martín-Saladich Q., Reynés-Llompart G., Sabaté-Llobera A. et al. Comparison of different automatic methods for the delineation of the total metabolic tumor volume in I–II stage Hodgkin Lymphoma. Sci. Rep. 2020; 10 (1). https://doi.org/10.1038/s41598-020-69577-9

11. Barrington S.F., Meignan M.A. Time to prepare for risk adaptation in lymphoma by standardising measurement of metabolic tumour burden. J. Nucl. Med. 2019; 60 (8): 1096–1102. https://doi.org/10.2967/jnumed.119.227249

12. Kostakoglu L., Chauvie S. Metabolic Tumor Volume Metrics in Lymphoma. Semin. Nucl. Med. 2018; 48 (1): 50–66. https://doi.org/10.1053/j.semnuclmed.2017.09.005

13. Akhtari M., Milgrom S., Pinnix C. et al. Reclassifying patients with early-stage Hodgkin lymphoma based on functional radiographic markers at presentation. Blood. 2018; 131 (1): 84–94. https://doi.org/10.1182/blood-2017-04-773838

14. Im H.J., Solaiyappan M., Lee I. et al. Multi-level Otsu method to define metabolic tumor volume in positron emission tomography. Am. J. Nucl. Med. Mol. Imaging. 2018; 8: 373–386. PMID: 30697457

15. Salavati A., Duan F., Snyder B.S. et al. Optimal FDG PET/ CT volumetric param- eters for risk stratification in patients with locally advanced non-small cell lung cancer: results from the ACRIN 6668/RTOG 0235 trial. Eur. J. Nucl. Med. Mol. Imaging. 2017; 44: 1969–1983. https://doi.org/10.1007/s00259-017-3753-x

16. Albano D., Mazzoletti A., Spallino M. et al. Prognostic role of baseline 18F-FDG PET/CT metabolic parameters in elderly HL: a two-center experience in 123 patients. Ann. Hematol. 2020; 99: 1321–1330. https://doi.org/10.1007/s00277-020-04039-w

17. Kanoun S., Tal I., Berriolo-Riedinger A. et al. Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F] FDG PET to Predict Survival in Hodgkin Lymphoma. PLoS One. 2015; 10 (10): e0140830. https://doi.org/10.1371/journal.pone.0140830

18. Wang X., Zhao Y., Liu Y. et al. Prognostic value of metabolic variables of [18F] FDG PET/CT in surgically resected stage I lung adenocarcinoma. Medicine (Baltimore). 2017; 96 (35): e7941. https://doi.org/10.1097/md.0000000000007941

19. Tamandl D., Fueger B., Haug A. et al. Diagnostic Algorithm That Combines Quantitative 18F-FDG PET Parameters and Contrast-Enhanced CT Improves Posttherapeutic Locoregional Restaging and Prognostication of Survival in Patients With Esophageal Cancer. Clin. Nucl. Med. 2019; 44 (1): e13–e21. https://doi.org/10.1097/rlu.0000000000002366

20. Choi W., Oh J., Roh J. et al. Metabolic tumor volume and total lesion glycolysis predict tumor progression and survival after salvage surgery for recurrent oral cavity squamous cell carcinoma. Head Neck. 2019; 41 (6): 1846–1853. https://doi.org/10.1002/hed.25622

21. Moskowitz A., Schöder H., Gavane S. et al. Prognostic significance of baseline metabolic tumor volume in relapsed and refractory Hodgkin lymphoma. Blood. 2017; 130 (20): 2196–2203. https://doi.org/10.1182/blood-2017-06-788877

22. Cottereau A.S., Versari A., Loft A. et al. Prognostic value of baseline metabolic tumor volume in early-stage Hodgkin lymphoma in the standard arm of the H10 trial. Blood. 2018; 131 (13): 1456–1463. https://doi.org/10.1182/blood-2017-07-795476

23. Aslanidis I.P., Metelkina M.V., Mukhortova O.V. et al. Volumetric PET-biomarkers in Hodgkin's lymphoma. The initial experience of automatic and manual methods of evaluation. REJR. 2022; 12 (1): 80–88. https://doi.org/10.21569/2222-7415-2022-12-1-80-88 (In Russian)

24. Metelkina M.V., Mukhortova O.V., Aslanidis I.P. et al. Prognostic value of total metabolic tumor volume (MTV) and total lesion glycolysis (TLG) in classic Hodgkin's lymphoma using an automatic method for pathological foci segmentation. REJR. 2022; 12 (4): 106–116. https://doi.org/10.21569/2222-7415-2022-12-4-106-116 (In Russian)

25. Song M.K., Chung J.S., Lee J.J. et al. Metabolic tumor volume by positron emission tomography/computed tomography as a clinical parameter to determine therapeutic modality for early stage Hodgkin’s lymphoma. Cancer Sci. 2013; 104 (12): 1656–1661. https://doi.org/10.1111/cas.12282

26. Im H., Bradshaw T., Solaiyappan M., Cho S. Current Methods to Define Metabolic Tumor Volume in Positron Emission Tomography: Which One is Better? Nucl. Med. Mol. Imaging. 2017; 52 (1): 5–15. https://doi.org/10.1007/s13139-017-0493-6

27. Camacho M.R., Etchebehere E., Tardelli N. et al. Validation of a Multi-Foci Segmentation Method for Measuring Metabolic Tumor Volume in Hodgkin’s Lymphoma. J. Nucl. Med. Technol. 2020; 48 (1): 30–35. https://doi.org/10.2967/jnmt.119.231118


Supplementary files

Review

For citations:


Metelkina M.V., Aslanidis I.P., Mukhortova O.V., Pursanova D.M., Shurupova I.V., Manukova V.A., Trifonova T.A., Chekalov A.M. High values of baseline volumetric PET biomarkers in classical Hodgkin's lymphoma as predictors of unfavourable prognosis. Medical Visualization. 2023;27(3):152-161. (In Russ.) https://doi.org/10.24835/1607-0763-1343

Views: 1613


ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)