Inter-observer variability influences the Lugano classification when restaging lymphoma

• Main Authors: Jacobus Möller, Tiaan Steyn, Nantes Combrinck, Gina Joubert, Alicia Sherriff, Jacques Janse van Rensburg
• Format: Article
• Language: English
• Published: AOSIS 2018-07-01
• Series: South African Journal of Radiology
• Subjects: lymphoma; lugano classification; computed tomography; interobserver variability
• Online Access: https://sajr.org.za/index.php/sajr/article/view/1357

Background: Lymphoma is an important and potentially curable oncological disease in South Africa. The staging and restaging of lymphoma have evolved over the years, with the latest international consensus guideline being the Lugano classification (LC). Prior to routine implementation of the LC, its robustness in the local setting should be determined.   Objectives: To determine the Inter-observer variability in response assignment when applying the LC in patients with lymphoma who were staged and restaged with computed tomography. In case of excessive discordance, specific mitigating measures will have to be taken before and during any proposed implementation of the LC.   Method: A total of 61 computed tomography scans in 21 patients were evaluated independently by four reviewers according to the LC, of which 21 scans were done at baseline, 21 at initial restaging and 19 at follow-up restaging. A retrospective comparative analysis was performed. Kappa values were calculated to determine agreement between observers.   Results: Only a moderate inter-observer agreement of 52% in the overall response classification was demonstrated. The most important sources of discrepancy were inconsistency in the assessment of target lesion regression to normal, determining the percentage change in the summed cross-sectional area of the target lesions and ascribing new lesions as either due to lymphoma or other causes.   Conclusion: Implementing the Lugano classification when restaging lymphoma is desirable to improve consistency and to conform to international guidelines. However, our study shows substantial inter-observer variability in response classification, potentially altering the treatment plan. Dedicated training and continuous quality control should, therefore, accompany the process.