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1195 Local Review Versus (vs) Central Review of Fluorodeoxyglucose Positron Emission Tomography (FDG-PET) in Diffuse Large B-Cell Lymphoma (DLBCL): Results from the CALGB 50303 Trial [Alliance]

Program: Oral and Poster Abstracts
Session: 626. Aggressive Lymphoma (Diffuse Large B-Cell and Other Aggressive B-Cell Non-Hodgkin Lymphomas)—Results from Prospective Clinical Trials: Poster I
Hematology Disease Topics & Pathways:
Clinically relevant
Saturday, December 5, 2020, 7:00 AM-3:30 PM

Amy S. Ruppert, PhD1, Levi D. Pederson, MS2*, Michael V. Knopp, MD, PhD3*, David Poon, BS4*, Jun Zhang, PhD4*, Brad S. Kahl, MD5, Jonathan W. Friedberg, MD, MSSc6, Lawrence H. Schwartz, MD7*, Wyndham H. Wilson, MD, PhD8, John P. Leonard, MD9, Nancy L. Bartlett, MD10* and Heiko Schöder, MD11*

1Department of Medicine, The Ohio State University, Gahanna, OH
2Biomedical Statistics and Informatics, Mayo Clinic, Rochester, MN
3Wright Center of Innovation in Biomedical Imaging, Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH
4The Ohio State University, Columbus, OH
5Washington University School of Medicine, Saint Louis, MO
6University of Rochester Medical Center, Rochester, NY
7Columbia University Medical Center, New York, NY
8Lymphoid Malignancies Branch, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, MD
9Department of Medicine, Weill Cornell Medicine, New York, NY
10Department of Medicine, Washington University School of Medicine, St. Louis, MO
11Department of Medicine, Lymphoma Service, Memorial Sloan Kettering Cancer Center, New York, NY

Background

FDG-PET is used in staging and response assessments in patients (pts) with DLBCL. An analysis of 158 pts with DLBCL receiving R-CHOP or DA-EPOCH-R on CALGB/Alliance 50303 failed to show an association between the interim PET (iPET, after cycle 2 of therapy) visual 5-point scale score (5-PS) by central review and progression-free survival (PFS) or overall survival (OS), but did show a significant association between percent change in FDG uptake from baseline to after cycle 2 (∆SUV) and PFS/OS (Schoder et al. 2020). As central review of FDG-PET is not feasible in routine practice, we retrospectively compared local vs central readings, and determined associations from local imaging data with PFS/OS.

Methods

126 pts at baseline and 109 at iPET had local imaging data submitted across 21 institutions. Visual scores 1-3 defined PET- and scores 4-5 defined PET+ disease. ∆SUV was defined as the percent change in the maximum SUV at any site (maxSUV) from baseline to iPET. Continuous ∆SUV and categorized ∆SUV (<66% vs >66%) were analyzed. Differences in quantitative measures were calculated as the local minus central result. The Kappa statistic estimated agreement in PET and ∆SUV groups between local and central review. PFS and OS distributions for local PET and ∆SUV groups were landmarked at iPET, estimated with the Kaplan-Meier method, and compared using the log-rank test.

Results

At baseline, maxSUV was reported locally and centrally in 118 pts. Median maxSUV was 24.3 (range: 5.9-77.3) by local review and 24.3 (range: 5.9-77.0) by central review. The median difference in maxSUV was 0 (range: -12.9 to 21.9), with 50% of differences between -1.1 and 0.1, and 90% of differences between -7.8 and 4.1.

In 106 pts with visual iPET 5-PS results, 52 (49.1%) were PET+ by local review and 37 (34.9%) by central review. Agreement in local and central review was moderate (kappa=0.53), occurring in 81 pts (76.4%; 32 PET+ and 49 PET-). Disagreement occurred in 25 patients, 20 with local PET+ but central PET- and 5 with local PET- but central PET+. iPET maxSUV was reported locally and centrally in 90 pts. Median maxSUV was 3.4 (range: 0-18.3) by local review and 3.3 (range: 1.2-18.2) by central review. The median difference in maxSUV was 0 (range: -8.6 to 2.4), with 50% of differences between -0.3 and 0.4, and 90% of differences between -4.4 and 1.8.

∆SUV was calculated in 87 pts. Median ∆SUV was 84.6% (range: -3.0% to 95.9%) by local review and 85.1% (range: -34.9% to 95.8%) by central review. The median difference in ∆SUV was -0.3 (range: -19.6 to 31.9), with 50% of differences between -2.1 and 1.1, and 90% of differences between -7.1 and 12.3. ∆SUV was <66% in 12 (13.8%) pts by local review and 12 pts by central review. Agreement in local and central review was high (kappa=0.81), occurring in 83 pts (95.4%; 10 with ∆SUV <66%, 73 with ∆SUV >66%). Disagreement occurred in 4 pts, 2 in each direction.

Using local data, PFS and OS estimates were numerically lower in pts with iPET+ vs iPET- disease, but did not reach statistical significance (p=0.12 and p=0.15). Two-year estimates for PFS were 79% (95% CI 68-91%) and 89% (95% CI 81-98%), and 2-year estimates for OS were 84% (95% CI 75-95%) and 96% (95% CI 91-100%) in pts with iPET+ and iPET-, respectively. In contrast, ∆SUV groups were significantly associated with PFS and OS (p=0.03 and p=0.002). Two-year estimates for PFS were 56% (95% CI 34-94%) and 87% (95% CI 79-95%) and 2-year estimates for OS were 56% (95% CI 34-94%) and 93% (95% CI 88-99%) in pts with ∆SUV <66% and ∆SUV >66%, respectively.

Conclusion

Agreement in visual 5-PS at iPET was moderate; most discrepancies arose from a local PET+ result when central review called PET-. Differences in maxSUV and ∆SUV tended to be small. Grouping ∆SUV resulted in only 4 discrepancies (4.6%). Similar to the previous analysis using central data, the separation in PFS and OS curves using local data for ∆SUV was greater than by visual 5-PS. Encouragingly, the agreement in ∆SUV of <66% vs ≥66% was high between local and central review. Overall agreement however may be unduly influenced by the large proportion of pts with ∆SUV ≥66%, with less certainty in agreement for pts with ∆SUV <66%. Larger prospective studies comparing local and central imaging data are warranted to best determine the utility of local imaging in clinical trials.

Support: P30 CA008748, U10CA180821, U10CA180882; https://acknowledgments.alliancefound.org. ClinicalTrials.gov Identifier: NCT00118209 (CALGB 50303)

Disclosures: Kahl: ADC Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Acerta: Consultancy, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; BeiGene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche Laboratories Inc: Consultancy; Pharmacyclics LLC: Consultancy; Genentech: Consultancy; Celgene Corporation: Consultancy; AstraZeneca Pharmaceuticals LP: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy. Friedberg: Seattle Genetics: Research Funding; Bayer: Consultancy; Astellas: Consultancy; Acerta Pharma — A member of the AstraZeneca Group, Bayer HealthCare Pharmaceuticals.: Other; Kite Pharmaceuticals: Research Funding; Portola Pharmaceuticals: Consultancy; Roche: Other: Travel expenses. Leonard: GenMab: Consultancy; Roche/Genentech: Consultancy; ADC Therapeutics: Consultancy; Miltenyi: Consultancy; Sutro: Consultancy; Epizyme: Consultancy; MEI Pharma: Consultancy; Bayer: Consultancy; BMS/Celgene: Consultancy; Regeneron: Consultancy; AstraZeneca: Consultancy; Karyopharm: Consultancy; Gilead/Kite: Consultancy. Bartlett: Pfizer: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Pharmacyclics: Research Funding; Millennium: Research Funding; Merck: Research Funding; Kite, a Gilead Company: Research Funding; Immune Design: Research Funding; Janssen: Research Funding; Forty Seven: Research Funding; BMS/Celgene: Research Funding; BTG: Consultancy; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche/Genentech: Consultancy, Research Funding; Seattle Genetics: Consultancy, Research Funding; Acerta: Consultancy; Affimed Therapeutics: Research Funding; ADC Therapeutics: Consultancy; Autolus: Research Funding.

*signifies non-member of ASH