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Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch

BACKGROUND: To illustrate challenges of imaging interpretation in patients with oligodendroglioma seen at a referral center and evaluate interrater reliability. METHODS: Two neuro-oncologists reviewed diagnostic preradiation MRIs of oligodendroglioma patients; interrater reliability was calculated w...

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Autores principales: Aboud, Orwa, Shah, Ritu, Vera, Elizabeth, Burton, Eric, Theeler, Brett, Wu, Jing, Boris, Lisa, Quezado, Martha, Reyes, Jennifer, Wall, Kathleen, R Gilbert, Mark, S Armstrong, Terri, Penas-Prado, Marta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Future Medicine Ltd 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988255/
https://www.ncbi.nlm.nih.gov/pubmed/35142534
http://dx.doi.org/10.2217/cns-2021-0005
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author Aboud, Orwa
Shah, Ritu
Vera, Elizabeth
Burton, Eric
Theeler, Brett
Wu, Jing
Boris, Lisa
Quezado, Martha
Reyes, Jennifer
Wall, Kathleen
R Gilbert, Mark
S Armstrong, Terri
Penas-Prado, Marta
author_facet Aboud, Orwa
Shah, Ritu
Vera, Elizabeth
Burton, Eric
Theeler, Brett
Wu, Jing
Boris, Lisa
Quezado, Martha
Reyes, Jennifer
Wall, Kathleen
R Gilbert, Mark
S Armstrong, Terri
Penas-Prado, Marta
author_sort Aboud, Orwa
collection PubMed
description BACKGROUND: To illustrate challenges of imaging interpretation in patients with oligodendroglioma seen at a referral center and evaluate interrater reliability. METHODS: Two neuro-oncologists reviewed diagnostic preradiation MRIs of oligodendroglioma patients; interrater reliability was calculated with the kappa coefficient (k). A neuroradiologist measured presurgical apparent diffusion coefficient (ADC), if available. RESULTS: Extensive enhancement was noted in four of 58 patients, k = 0.7; necrosis in seven of 58, k = 0.61; calcification in seven of 17, k = 1.0; diffusion restriction in two of 39 patients, k = 1.0 (all only in grade 3). ADC values with receiver operator characteristic analysis for area under the curve were 0.473, not significantly different from the null hypothesis (p = 0.14). CONCLUSIONS: Extensive enhancement, necrosis and calcification correlated with grade 3 oligodendroglioma in our sample. However, interrater variability is an important limitation when assessing radiographic features, supporting the need for standardization of imaging protocols and their interpretation.
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spelling pubmed-89882552022-04-11 Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch Aboud, Orwa Shah, Ritu Vera, Elizabeth Burton, Eric Theeler, Brett Wu, Jing Boris, Lisa Quezado, Martha Reyes, Jennifer Wall, Kathleen R Gilbert, Mark S Armstrong, Terri Penas-Prado, Marta CNS Oncol Research Article BACKGROUND: To illustrate challenges of imaging interpretation in patients with oligodendroglioma seen at a referral center and evaluate interrater reliability. METHODS: Two neuro-oncologists reviewed diagnostic preradiation MRIs of oligodendroglioma patients; interrater reliability was calculated with the kappa coefficient (k). A neuroradiologist measured presurgical apparent diffusion coefficient (ADC), if available. RESULTS: Extensive enhancement was noted in four of 58 patients, k = 0.7; necrosis in seven of 58, k = 0.61; calcification in seven of 17, k = 1.0; diffusion restriction in two of 39 patients, k = 1.0 (all only in grade 3). ADC values with receiver operator characteristic analysis for area under the curve were 0.473, not significantly different from the null hypothesis (p = 0.14). CONCLUSIONS: Extensive enhancement, necrosis and calcification correlated with grade 3 oligodendroglioma in our sample. However, interrater variability is an important limitation when assessing radiographic features, supporting the need for standardization of imaging protocols and their interpretation. Future Medicine Ltd 2022-02-10 /pmc/articles/PMC8988255/ /pubmed/35142534 http://dx.doi.org/10.2217/cns-2021-0005 Text en © 2022 Marta Penas-Prado https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under the Attribution-NonCommercial-NoDerivatives 4.0 Unported License (https://creativecommons.org/licenses/by-nc-nd/4.0/)
spellingShingle Research Article
Aboud, Orwa
Shah, Ritu
Vera, Elizabeth
Burton, Eric
Theeler, Brett
Wu, Jing
Boris, Lisa
Quezado, Martha
Reyes, Jennifer
Wall, Kathleen
R Gilbert, Mark
S Armstrong, Terri
Penas-Prado, Marta
Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch
title Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch
title_full Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch
title_fullStr Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch
title_full_unstemmed Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch
title_short Challenges of imaging interpretation to predict oligodendroglioma grade: a report from the Neuro-Oncology Branch
title_sort challenges of imaging interpretation to predict oligodendroglioma grade: a report from the neuro-oncology branch
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8988255/
https://www.ncbi.nlm.nih.gov/pubmed/35142534
http://dx.doi.org/10.2217/cns-2021-0005
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