Evidence map›Paper›PMID 33330847›Full record

ArticleRadiology. Artificial intelligence2020

Tumor Habitat-derived Radiomic Features at Pretreatment MRI That Are Prognostic for Progression-free Survival in Glioblastoma Are Associated with Key Morphologic Attributes at Histopathologic Examination: A Feasibility Study.

Ruchika Verma, Ramon Correa, Virginia B Hill, Volodymyr Statsevych, Kaustav Bera, Niha Beig, Abdelkader Mahammedi, Anant Madabhushi, Manmeet Ahluwalia, Pallavi Tiwari

Open access · greenAbstract read
In one paragraph

Article in Radiology. Artificial intelligence, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 9% of its field
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

55 citing papers in PubMed, 1 synthesis or guideline pooled it, 71 citations in OpenAlex.

  1. Pooled it
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  5. MRI-based perfusion-diffusion habitat analysis for characterizing intratumoral heterogeneity in rectal adenocarcinoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
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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

10 authors at 2 institutions in 1 country.

Ruchika VermaDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).ORCID 0000-0003-4870-128X
Ramon CorreaDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).ORCID 0000-0003-2247-7777
Virginia B HillDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).ORCID 0000-0001-9146-9370
Volodymyr StatsevychDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).ORCID 0000-0003-2991-4730
Kaustav BeraDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).
Niha BeigDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).ORCID 0000-0002-1150-5886
Abdelkader MahammediDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).ORCID 0000-0002-8726-9269
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).ORCID 0000-0002-5741-0399
Manmeet AhluwaliaDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).
Pallavi TiwariDepartment of Biomedical Engineering, Case Western Reserve University, 10900 Euclid Ave, Cleveland OH 44106 (R.V., R.C., K.B., N.B., A. Madabhushi, P.T.); Department of Neuroradiology, Feinberg School of Medicine, Northwestern University, Chicago, Ill (V.B.H.); Brain Tumor and Neuro-Oncology Center (V.S., M.A.), and Department of Diagnostic Radiology (A. Mahammedi), Cleveland Clinic, Cleveland, Ohio; and Louis Stokes Cleveland Veterans Administration Medical Center, Cleveland, Ohio (A. Madabhushi).
Cleveland Clinic · USNorthwestern University · US

Funding

Clinical and Translational Science Collaborative of ClevelandUL1TR002548 · NCATS · CASE WESTERN RESERVE UNIVERSITY · PI MCCOMSEY, GRACE A · 2018 to 2022
$35.5M
Pathology CoreU54CA254566 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI DOWLATI, AFSHIN · 2020 to 2024
$5.0M
Computerized histologic image predictor of cancer outcomeR01CA202752 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI FELDMAN, MICHAEL D, GANESAN, SHRIDAR · 2016 to 2020
$3.1M
Quantitative Histomorphometric Risk Classifier (QuHbIC) in HPV + Oropharyngeal CarcinomaR01CA220581 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI KOYFMAN, SHLOMO, LEWIS, JAMES · 2018 to 2023
$3.1M
Computerized Histologic Risk Predictor (CHiRP) for Early Stage Lung CancersR01CA216579 · NCI · EMORY UNIVERSITY · PI FU, PINGFU, LLOYD, MARK · 2018 to 2023
$3.1M
MR Fingerprinting and Computerized Decision Support for Prostate CancerR01CA208236 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GULANI, VIKAS, PONSKY, LEE EVAN · 2017 to 2022
$3.0M
Pathology Image Informatics Platform for visualization, analysis and managementU24CA199374 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI GURCAN, METIN NAFI, MADABHUSHI, ANANT · 2015 to 2019
$2.9M
RadxTools for assessing tumor treatment response on imagingU01CA248226 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI TIWARI, PALLAVI, VISWANATH, SATISH EASWAR · 2020 to 2022
$1.4M
HistoTools: A suite of digital pathology tools for quality control, annotation and dataset identificationU01CA239055 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI JANOWCZYK, ANDREW ROBERT, MADABHUSHI, ANANT · 2019 to 2022
$1.0M
A Study to Validate and Improve an Automated Image Analysis Algorithm to Detect Tuberculosis in Sputum Smear SlidesR43EB028736 · NIBIB · DIASCOPIC, LLC · PI MADABHUSHI, ANANT, SERIF, CARY · 2019 to 2019
$225k
BIOMEDICAL ENGINEERING RESEARCH FACILITIESC06RR012463 · NCRR · CASE WESTERN RESERVE UNIVERSITY · PI KUTINA, KENNETH L · 1997 to 1997
–
BLRD VA I01 BX004121NCATS NIH HHS UL1 TR002548NCI NIH HHS R01 CA202752NCI NIH HHS R01 CA208236NCI NIH HHS R01 CA216579NCI NIH HHS R01 CA220581NCI NIH HHS U01 CA239055NCI NIH HHS U01 CA248226NCI NIH HHS U24 CA199374NCI NIH HHS U54 CA254566NCRR NIH HHS C06 RR012463NIBIB NIH HHS R43 EB028736
6 · The paper itself

Abstract

purposeTo identify radiomic features extracted from the tumor habitat on routine MR images that are prognostic for progression-free survival (PFS) and to assess their morphologic basis with corresponding histopathologic attributes in glioblastoma (GBM). MATERIALS AND

methodsIn this retrospective study, 156 pretreatment GBM MR images (gadolinium-enhanced T1-weighted, T2-weighted, and fluid-attenuated inversion recovery [FLAIR] images) were curated. Of these 156 images, 122 were used for training (90 from The Cancer Imaging Archive and 32 from the Cleveland Clinic, acquired between December 1, 2011, and May 1, 2018) and 34 were used for validation. The validation set was obtained from the Ivy Glioblastoma Atlas Project database, for which the percentage extent of 11 histologic attributes was available on corresponding histopathologic specimens of the resected tumor. Following expert annotations of the tumor habitat (necrotic core, enhancing tumor, and FLAIR-hyperintense subcompartments), 1008 radiomic descriptors (eg, Haralick texture features, Laws energy features, co-occurrence of local anisotropic gradient orientations [CoLIAGe]) were extracted from the three MRI sequences. The top radiomic features were obtained from each subcompartment in the training set on the basis of their ability to risk-stratify patients according to PFS. These features were then concatenated to create a radiomics risk score (RRS). The RRS was independently validated on a holdout set. In addition, correlations (

resultsRRS yielded a concordance index of 0.80 on the validation set and constituted radiomic features, including Laws (capture edges, waves, ripple patterns) and CoLIAGe (capture disease heterogeneity) from enhancing tumor and FLAIR hyperintensity. These radiomic features were correlated with histopathologic attributes associated with disease aggressiveness in GBM, particularly tumor infiltration (

conclusionPreliminary findings demonstrated significant associations of prognostic radiomic features with disease-specific histologic attributes, with implications for risk-stratifying patients with GBM for personalized treatment decisions.

Identifiers

PMID33330847
PMCPMC7706886
OpenAlexW3102828505

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