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. 2023 Nov 1;13(11):7423-7431.
doi: 10.21037/qims-22-850. Epub 2023 Jan 14.

Interrater reliability of Brain Tumor Reporting and Data System (BT-RADS) in the follow up of adult primary brain tumors: a single institution experience in Italy

Affiliations

Interrater reliability of Brain Tumor Reporting and Data System (BT-RADS) in the follow up of adult primary brain tumors: a single institution experience in Italy

Marco Parillo et al. Quant Imaging Med Surg. .

Abstract

Background: In 2018, a new system was proposed for classifying and reporting post-treatment adult brain tumor on magnetic resonance imaging, named as Brain Tumor Reporting and Data System (BT-RADS), that needs a validation by means of agreement studies.

Methods: A retrospective study was designed with the aim of identifying contrast-enhanced magnetic resonance imaging (MRI) of adult patients on follow-up for primary brain tumor at Fondazione Policlinico Campus Bio-Medico. Four radiologists (2 radiology residents, 1 general radiologist, 1 neuroradiologist) read and scored each study using the BT-RADS scoring tool, blinded to the MRI original report. Interobserver agreement and Fleiss' k were calculated to assess the level of diagnostic agreement. It was assessed how many times the assignment of different scoring of BT-RADS would have led to a different patient management.

Results: The total number of patients included in the study was 23 with 147 MRIs and a total of 588 BT-RADS scores retrospectively evaluated. The two most frequent tumor types were astrocytoma grade 4 (62%) and oligodendroglioma grade 3 (21%). The overall agreement rate for all 4 radiologists was 82% with a Fleiss' k of 0.70. The overall agreement rate between general radiologist and neuroradiologist was 91% with a Fleiss' k of 0.86. The overall agreement rate between 2 radiology residents and neuroradiologist was 80% with a Fleiss' k of 0.66. Astrocytoma grade 3 (k: 0.51) and oligodendroglioma grade 2 (k: 0.32) showed a poor agreement while higher values of agreement were found for astrocytoma grade 4 (k: 0.70), astrocytoma grade 2 (k: 0.78) and oligodendroglioma grade 3 (k: 0.78). All the radiologists agreed on BT-RADS assignment in 70% patients, three radiologists agreed in 17% and two radiologists agree in 13%. In no cases there was a complete disagreement among the readers. In 18% of cases the discrepancy in the estimated BT-RADS would have led to a different follow-up management.

Conclusions: BT-RADS can be considered a valid tool for neuroradiologists and radiologists even with little experience in the interpretation of patients' images during follow-up for adult primary brain tumors supporting standardized interpretation, reporting and clinical management.

Keywords: Brain Tumor Reporting and Data System (BT-RADS); Inter-reader agreement; gliomas; imaging (MRI); magnetic resonance imaging.

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Conflict of interest statement

Conflicts of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://qims.amegroups.com/article/view/10.21037/qims-22-850/coif). The special issue “Imaging of Aging and Age-Related Disorders” was commissioned by the editorial office without any funding or sponsorship. CAM served as the unpaid Guest Editor of the issue and serves as an unpaid editorial board member of Quantitative Imaging in Medicine and Surgery. The authors have no other conflicts of interest to declare.

Figures

Figure 1
Figure 1
Column chart showing the relative frequency of the BT-RADS scores evaluated. BT-RADS, Brain Tumor Reporting and Data System.
Figure 2
Figure 2
Astrocytoma grade 4 of the left temporal lobe surgically treated and subsequently underwent radiation therapy. (A,C,E) Axial FLAIR images; (B,D,F) axial T1 contrast-enhanced images. (A,B) MRI performed after 3 months from the surgery with no obvious signs of residual disease. (C,D) Follow up MRI performed after 1 months from A and B showing a nodular mass with contrast enhancement in the left temporal pole, highly suspected for disease recurrence. Half of the raters assigned a BT-RADS category 3c. However, given the worsening >25% in FLAIR and enhanced images, BT-RADS category 4 is more appropriate. (E,F) Follow up MRI after 2 months (<90 days) from the radiation therapy showing a worsening in FLAIR and enhanced images still to be interpreted as related to the treatment. All readers assigned a BT-RADS category of 3a. FLAIR, fluid attenuated inversion recovery; MRI, magnetic resonance imaging; BT-RADS, Brain Tumor Reporting and Data System.
Figure 3
Figure 3
Oligodendroglioma grade 2 of the left frontal lobe surgically treated and subsequently underwent radiation therapy. (A,C) Axial FLAIR images; (B,D) axial T1 contrast-enhanced images. (A,B) MRI performed after 7 months from the surgery and after 3 months from the radiation therapy with a residual area of contrast enhancement and FLAIR hyperintensity. (C,D) Follow up MRI performed after 3 months from (A) and (B) showing a mild decrease in the FLAIR hyperintensity and contrast-enhancement. One rater assigned a BT-RADS category 2 as for stable disease. However, given the improvement in FLAIR and enhanced images, BT-RADS 1a is more appropriate. FLAIR, fluid attenuated inversion recovery; MRI, magnetic resonance imaging; BT-RADS, Brain Tumor Reporting and Data System.

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References

    1. Sacks P, Rahman M. Epidemiology of Brain Metastases. Neurosurg Clin N Am 2020;31:481-8. 10.1016/j.nec.2020.06.001 - DOI - PubMed
    1. Yin L, Cheng L, Wang F, Zhu X, Hua Y, He W. Application of intraoperative B-mode ultrasound and shear wave elastography for glioma grading. Quant Imaging Med Surg 2021;11:2733-43. 10.21037/qims-20-1368 - DOI - PMC - PubMed
    1. McNeill KA. Epidemiology of Brain Tumors. Neurol Clin 2016;34:981-98. 10.1016/j.ncl.2016.06.014 - DOI - PubMed
    1. Weinberg BD, Gore A, Shu HG, Olson JJ, Duszak R, Voloschin AD, Hoch MJ. Management-Based Structured Reporting of Posttreatment Glioma Response With the Brain Tumor Reporting and Data System. J Am Coll Radiol 2018;15:767-71. 10.1016/j.jacr.2018.01.022 - DOI - PubMed
    1. Quant EC, Wen PY. Response assessment in neuro-oncology. Curr Oncol Rep 2011;13:50-6. 10.1007/s11912-010-0143-y - DOI - PubMed