Evidence map›Paper›PMID 41995469›Full record

ArticleRadiology. Imaging cancer2026

Radiomics-based Differentiation of Recurrent Brain Metastases from Treatment Effects: A Multi-Institutional Comparative Study with Advanced Imaging.

Hyemin Um, Marwa Ismail, Virginia B Hill, Sushant Puri, Jennifer S Yu, Lan Lu, Ameya P Nayate, Anthony Higinbotham, Lisa R Rogers, Prateek Prasanna and 9 more

Abstract readMulticenter StudyComparative Study
In one paragraph

Article in Radiology. Imaging cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

Hyemin UmDepartment of Radiology, University of Wisconsin-Madison, 1111 Highland Ave, WIMR 2488, Madison, WI 53792.ORCID 0000-0003-2083-7484
Marwa IsmailDepartment of Radiology, University of Wisconsin-Madison, 1111 Highland Ave, WIMR 2488, Madison, WI 53792.ORCID 0000-0002-1396-0372
Virginia B HillNeuroradiology Section, Department of Radiology, Northwestern University Feinberg School of Medicine, Chicago, Ill.ORCID 0000-0001-9146-9370
Sushant PuriDepartment of Neurosurgery, Oregon Health & Science University, Portland, Ore.
Jennifer S YuDepartment of Cancer Sciences, Cleveland Clinic, Cleveland, Ohio.
Lan LuDepartment of Radiation Oncology, Cleveland Clinic, Cleveland, Ohio.
Ameya P NayateDepartment of Radiology, University Hospitals Cleveland Medical Center, Cleveland, Ohio.
Anthony HiginbothamDepartment of Radiology and Medical Imaging, University of Virginia School of Medicine, Charlottesville, Va.
Lisa R RogersDepartment of Neurosurgery, Hermelin Brain Tumor Center, Henry Ford Health, Detroit, Mich.
Prateek PrasannaDepartment of Biomedical Informatics, Stony Brook University, Stony Brook, NY.ORCID 0000-0002-3068-3573
Mainak BardhanDepartment of Medical Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Fla.
Chengnan LiDepartment of Computer Science, University of Wisconsin-Madison, Madison, Wis.
Mustafa M BasreeDepartment of Human Oncology, University of Wisconsin-Madison, Madison, Wis.
Andrew M BaschnagelDepartment of Human Oncology, University of Wisconsin-Madison, Madison, Wis.
Alan B McMillanDepartment of Radiology, University of Wisconsin-Madison, 1111 Highland Ave, WIMR 2488, Madison, WI 53792.ORCID 0000-0003-4502-6522
Ankush BhatiaDepartment of Neurology, University of Wisconsin-Madison, Madison, Wis.
Manmeet S AhluwaliaDepartment of Medical Oncology, Miami Cancer Institute, Baptist Health South Florida, Miami, Fla.
Michael C VeronesiDepartment of Radiology, University of Wisconsin-Madison, 1111 Highland Ave, WIMR 2488, Madison, WI 53792.
Pallavi TiwariDepartment of Radiology, University of Wisconsin-Madison, 1111 Highland Ave, WIMR 2488, Madison, WI 53792.ORCID 0000-0001-9477-4856

Funding

Radiomic spatial maps for identifying viable tumor extent on multi-parametric MRI for GlioblastomaR01CA277728 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2024 to 2026
$3.0M
Quantitative imaging phenotypic classifier for distinguishing radiation effects from tumor recurrence in Glioblastoma .R01CA264017 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Manmeet Ahluwalia, Pallavi Tiwari · 2022 to 2026
$2.9M
Image informatics tools for curation and prognostic modeling in pediatric brain tumorsU01CA294415 · NCI · UNIVERSITY OF WISCONSIN-MADISON · PI Pallavi Tiwari, Satish Easwar Viswanath · 2025 to 2026
$783k
BLRD VA I01 BX005842NCI NIH HHS R01 CA264017NCI NIH HHS R01 CA277728NCI NIH HHS U01 CA294415
6 · The paper itself

Abstract

Purpose To compare the ability of radiomics, advanced imaging modalities, and Response Assessment in Neuro-Oncology Brain Metastases (RANO-BM) criteria to distinguish tumor recurrence from treatment effects in patients with brain metastasis. Materials and Methods Posttreatment MRI (gadolinium-enhanced T1-weighted, T2-weighted, fluid-attenuated inversion recovery [FLAIR]) data of patients from three institutions, obtained between January 2001 and March 2023, were retrospectively analyzed. Reference standards were established by histopathology or according to clinical and imaging courses. Following preprocessing and segmenting tumors into subcompartments of enhancing lesion, edema, or necrotic core, 1104 radiomic features were extracted, and classification was conducted using random forest models. A comparative assessment with advanced imaging and RANO-BM was performed using a subset of studies with available modalities (dynamic susceptibility contrast MRI, fluorine 18 [

Indexed as

Brain NeoplasmsMagnetic Resonance ImagingNeoplasm Recurrence, LocalRadiomicsAdultAgedFemaleHumansMaleMiddle AgedRetrospective StudiesTreatment OutcomeAdvanced ImagingBrain MetastasesRadiomicsRANO-BMTreatment Effects

Identifiers

PMID41995469
PMCPMC13231209

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.