Literature DB >> 29038339

Reclassifying patients with early-stage Hodgkin lymphoma based on functional radiographic markers at presentation.

Mani Akhtari1,2, Sarah A Milgrom1, Chelsea C Pinnix1, Jay P Reddy1, Wenli Dong3, Grace L Smith1, Osama Mawlawi4, Zeinab Abou Yehia1, Jillian Gunther1, Eleanor M Osborne1, Therese Y Andraos1, Christine F Wogan1, Eric Rohren5, Naveen Garg6, Hubert Chuang7, Joseph D Khoury8, Yasuhiro Oki9, Michelle Fanale9, Bouthaina S Dabaja1.   

Abstract

The presence of bulky disease in Hodgkin lymphoma (HL), traditionally defined with a 1-dimensional measurement, can change a patient's risk grouping and thus the treatment approach. We hypothesized that 3-dimensional measurements of disease burden obtained from baseline 18F-fluorodeoxyglucose positron emission tomography-computed tomography (PET-CT) scans, such as metabolic tumor volume (MTV) and total lesion glycolysis (TLG), would more accurately risk-stratify patients. To test this hypothesis, we reviewed pretreatment PET-CT scans of patients with stage I-II HL treated at our institution between 2003 and 2013. Disease was delineated on prechemotherapy PET-CT scans by 2 methods: (1) manual contouring and (2) subthresholding of these contours to give the tumor volume with standardized uptake value ≥2.5. MTV and TLG were extracted from the threshold volumes (MTVt, TLGt) and from the manually contoured soft-tissue volumes. At a median follow-up of 4.96 years for the 267 patients evaluated, 27 patients were diagnosed with relapsed or refractory disease and 12 died. Both MTVt and TLGt were highly correlated with freedom from progression and were dichotomized with 80th percentile cutoff values of 268 and 1703, respectively. Consideration of MTV and TLG enabled restratification of early unfavorable HL patients as having low- and high-risk disease. We conclude that MTV and TLG provide a potential measure of tumor burden to aid in risk stratification of early unfavorable HL patients.
© 2018 by The American Society of Hematology.

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Year:  2017        PMID: 29038339      PMCID: PMC5755043          DOI: 10.1182/blood-2017-04-773838

Source DB:  PubMed          Journal:  Blood        ISSN: 0006-4971            Impact factor:   25.476


  18 in total

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10.  FDG-PET Response Prediction in Pediatric Hodgkin's Lymphoma: Impact of Metabolically Defined Tumor Volumes and Individualized SUV Measurements on the Positive Predictive Value.

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  20 in total

Review 1.  Risk-adapted therapy for advanced-stage Hodgkin lymphoma.

Authors:  Michael A Spinner; Ranjana H Advani
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2018-11-30

2.  Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden.

Authors:  Sally F Barrington; Michel Meignan
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Review 3.  Artificial Intelligence in Lymphoma PET Imaging:: A Scoping Review (Current Trends and Future Directions).

Authors:  Navid Hasani; Sriram S Paravastu; Faraz Farhadi; Fereshteh Yousefirizi; Michael A Morris; Arman Rahmim; Mark Roschewski; Ronald M Summers; Babak Saboury
Journal:  PET Clin       Date:  2022-01

4.  Healthy Organs Uptake on Baseline 18F-FDG PET/CT as an Alternative to Total Metabolic Tumor Volume to Predict Event-Free Survival in Classical Hodgkin's Lymphoma.

Authors:  David Morland; Elizabeth Katherine Anna Triumbari; Elena Maiolo; Annarosa Cuccaro; Giorgio Treglia; Stefan Hohaus; Salvatore Annunziata
Journal:  Front Med (Lausanne)       Date:  2022-06-22

5.  Predictive value of baseline metabolic tumor volume in early-stage favorable Hodgkin Lymphoma - Data from the prospective, multicenter phase III HD16 trial.

Authors:  Lutz van Heek; Colin Stuka; Helen Kaul; Horst Müller; Jasmin Mettler; Felicitas Hitz; Christian Baues; Michael Fuchs; Peter Borchmann; Andreas Engert; Markus Dietlein; Conrad-Amadeus Voltin; Carsten Kobe
Journal:  BMC Cancer       Date:  2022-06-18       Impact factor: 4.638

6.  [Efficacy and safety of Camrelizumab and AVD in the first-line treatment of classic Hodgkin's lymphoma].

Authors:  K Zhao; H Q Wang; L Li; T Song; S P Li; M H Qiu
Journal:  Zhonghua Xue Ye Xue Za Zhi       Date:  2022-05-14

Review 7.  [Hybrid imaging in lymphoma].

Authors:  Marius E Mayerhöfer; Alexander Haug
Journal:  Radiologe       Date:  2020-05       Impact factor: 0.635

8.  Metabolic Tumour Volume for Response Prediction in Advanced-Stage Hodgkin Lymphoma.

Authors:  Jasmin Mettler; Horst Müller; Conrad-Amadeus Voltin; Christian Baues; Bernd Klaeser; Alden Moccia; Peter Borchmann; Andreas Engert; Georg Kuhnert; Alexander E Drzezga; Markus Dietlein; Carsten Kobe
Journal:  J Nucl Med       Date:  2018-06-07       Impact factor: 10.057

9.  Five-year follow-up of SWOG S0816: limitations and values of a PET-adapted approach with stage III/IV Hodgkin lymphoma.

Authors:  Deborah M Stephens; Hongli Li; Heiko Schöder; David J Straus; Craig H Moskowitz; Michael LeBlanc; Lisa M Rimsza; Nancy L Bartlett; Andrew M Evens; Ann S LaCasce; Paul M Barr; Michael V Knopp; Eric D Hsi; John P Leonard; Brad S Kahl; Sonali M Smith; Jonathan W Friedberg
Journal:  Blood       Date:  2019-10-10       Impact factor: 25.476

10.  Prognostic value of baseline metabolic tumor volume in children and adolescents with intermediate-risk Hodgkin lymphoma treated with chemo-radiation therapy: FDG-PET parameter analysis in a subgroup from COG AHOD0031.

Authors:  Sarah A Milgrom; Jihyun Kim; Alin Chirindel; Jongho Kim; Qinglin Pei; Lu Chen; Allen Buxton; Sandy Kessel; Jeffrey Leal; Kathleen M McCarten; Bradford S Hoppe; Suzanne L Wolden; Cindy L Schwartz; Debra L Friedman; Kara M Kelly; Steve Y Cho
Journal:  Pediatr Blood Cancer       Date:  2021-07-10       Impact factor: 3.838

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