{"id":90,"date":"2016-11-02T10:02:57","date_gmt":"2016-11-02T10:02:57","guid":{"rendered":"https:\/\/lab.research.sickkids.ca\/ertl-wagner\/?p=90"},"modified":"2023-03-28T18:26:45","modified_gmt":"2023-03-28T18:26:45","slug":"radiomic-features-based-on-mri-predict-progression-free-survival-pediatric-diffuse-midline-glioma-diffuse-intrinsic-pontine-glioma","status":"publish","type":"post","link":"https:\/\/lab.research.sickkids.ca\/ertl-wagner\/2016\/11\/02\/radiomic-features-based-on-mri-predict-progression-free-survival-pediatric-diffuse-midline-glioma-diffuse-intrinsic-pontine-glioma\/","title":{"rendered":"Radiomic Features Based on MRI Predict Progression-Free Survival in Pediatric Diffuse Midline Glioma\/Diffuse Intrinsic Pontine Glioma"},"content":{"rendered":"

Radiomic Features Based on MRI Predict Progression-Free Survival in Pediatric Diffuse Midline Glioma\/Diffuse Intrinsic Pontine Glioma<\/h1><\/div><\/div><\/div>
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Abstract<\/h2><\/div>

<\/h2>\n
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Purpose:<\/b>\u00a0Biopsy-based assessment of H3 K27 M status helps in predicting survival, but biopsy is usually limited to unusual presentations and clinical trials. We aimed to evaluate whether radiomics can serve as prognostic marker to stratify diffuse intrinsic pontine glioma (DIPG) subsets.<\/p>\n

Methods:<\/b>\u00a0In this retrospective study, diagnostic brain MRIs of children with DIPG were analyzed. Radiomic features were extracted from tumor segmentations and data were split into training\/testing sets (80:20). A conditional survival forest model was applied to predict progression-free survival (PFS) using training data. The trained model was validated on the test data, and concordances were calculated for PFS. Experiments were repeated 100 times using randomized versions of the respective percentage of the training\/test data.<\/p>\n

Results:<\/b>\u00a0A total of 89 patients were identified (48 females, 53.9%). Median age at time of diagnosis was 6.64 years (range: 1-16.9 years) and median PFS was 8 months (range: 1-84 months). Molecular data were available for 26 patients (29.2%) (1 wild type, 3 K27M-H3.1, 22 K27M-H3.3). Radiomic features of FLAIR and nonenhanced T1-weighted sequences were predictive of PFS. The best FLAIR radiomics model yielded a concordance of .87 [95% CI: .86-.88] at 4 months PFS. The best T1-weighted radiomics model yielded a concordance of .82 [95% CI: .8-.84] at 4 months PFS. The best combined FLAIR + T1-weighted radiomics model yielded a concordance of .74 [95% CI: .71-.77] at 3 months PFS. The predominant predictive radiomic feature matrix was gray-level size-zone.<\/p>\n

Conclusion:<\/b>\u00a0MRI-based radiomics may predict progression-free survival in pediatric diffuse midline glioma\/diffuse intrinsic pontine glioma.<\/p>\n

Authorship<\/strong>: Wagner MW, Namdar K, Napoleone M, Hainc N, Amirabadi A, Fonseca A, Laughlin S, Shroff MM, Bouffet E, Hawkins C, Khalvati F, Bartels U, Ertl-Wagner BB. Radiomic Features Based on MRI Predict Progression-Free Survival in Pediatric Diffuse Midline Glioma\/Diffuse Intrinsic Pontine Glioma. Can Assoc Radiol J. 2022 Jun 29:8465371221109921. doi: 10.1177\/08465371221109921. Epub ahead of print. PMID: 35768942.<\/p>\n<\/div>\n

Keywords:\u00a0<\/strong>MRI; children; diffuse intrinsic pontine glioma; fluid-attenuated inversion recovery; radiomics.<\/p>\n<\/div>

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Wagner MW, Namdar K, Napoleone M, Hainc N, Amirabadi A, Fonseca A, Laughlin S, Shroff MM, Bouffet E, Hawkins C, Khalvati F, Bartels U, Ertl-Wagner BB. Can Assoc Radiol J. 2022 Jun 29. Epub ahead of print. PMID: 35768942.<\/p>\n","protected":false},"author":408,"featured_media":957,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-90","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-latest-publications"],"yoast_head":"\nRadiomic Features Based on MRI Predict Progression-Free Survival in Pediatric Diffuse Midline Glioma\/Diffuse Intrinsic Pontine Glioma - Birgit Ertl-Wagner Lab<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/lab.research.sickkids.ca\/ertl-wagner\/2016\/11\/02\/radiomic-features-based-on-mri-predict-progression-free-survival-pediatric-diffuse-midline-glioma-diffuse-intrinsic-pontine-glioma\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Radiomic Features Based on MRI Predict Progression-Free Survival in Pediatric Diffuse Midline Glioma\/Diffuse Intrinsic Pontine Glioma\" \/>\n<meta property=\"og:description\" content=\"Wagner MW, Namdar K, Napoleone M, Hainc N, Amirabadi A, Fonseca A, Laughlin S, Shroff MM, Bouffet E, Hawkins C, Khalvati F, Bartels U, Ertl-Wagner BB. 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