Evidence map›Paper›PMID 27390321›Full record

ArticleAJNR. American journal of neuroradiology2016

Early Biomarkers from Conventional and Delayed-Contrast MRI to Predict the Response to Bevacizumab in Recurrent High-Grade Gliomas.

D Daniels, D Guez, D Last, C Hoffmann, D Nass, A Talianski, G Tsarfaty, S Salomon, A A Kanner, D T Blumenthal and 7 more

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

17 authors.

D DanielsAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.) dianne.daniels@sheba.health.gov.il.ORCID http://orcid.org/0000-0002-0912-8719
D GuezAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.).ORCID http://orcid.org/0000-0002-9143-2575
D LastAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.).ORCID http://orcid.org/0000-0003-1605-273X
C HoffmannRadiology Institute (C.H., G.T.).ORCID http://orcid.org/0000-0002-5339-9495
D NassPathology Institute (D.N.), Sheba Medical Center, Ramat-Gan, Israel.ORCID http://orcid.org/0000-0001-5740-985X
A TalianskiFrom the Oncology Institute (L.Z., A.T.).ORCID http://orcid.org/0000-0003-3032-3954
G TsarfatyRadiology Institute (C.H., G.T.).ORCID http://orcid.org/0000-0001-5878-4619
S SalomonAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.).ORCID http://orcid.org/0000-0002-4580-3726
A A KannerStereotactic Radiosurgery Unit (A.A.K.), Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.ORCID http://orcid.org/0000-0001-9779-8685
D T BlumenthalNeuro-Oncology Service (D.T.B., F.B.).ORCID http://orcid.org/0000-0002-8868-0148
F BoksteinNeuro-Oncology Service (D.T.B., F.B.).ORCID http://orcid.org/0000-0002-5870-9499
S HarnofDepartment of Neurosurgery (Z.R.C., S.H.).ORCID http://orcid.org/0000-0002-1307-6675
D YekutieliSchool of Mathematical Sciences (D.Y., S.Z.), Tel-Aviv University, Tel-Aviv, Israel.ORCID http://orcid.org/0000-0001-8455-8973
S ZamirSchool of Mathematical Sciences (D.Y., S.Z.), Tel-Aviv University, Tel-Aviv, Israel.ORCID http://orcid.org/0000-0003-0711-7925
Z R CohenDepartment of Neurosurgery (Z.R.C., S.H.).ORCID http://orcid.org/0000-0002-0208-5170
L ZachFrom the Oncology Institute (L.Z., A.T.).ORCID http://orcid.org/0000-0002-1472-4582
Y MardorAdvanced Technology Center (D.G., D.L., D.D., S.S., Y.M.).ORCID http://orcid.org/0000-0002-8561-8875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeThe interpretation of the radiologic response of bevacizumab-treated patients with recurrent high-grade gliomas represents a unique challenge. Delayed-contrast MR imaging was recently introduced for calculating treatment-response-assessment maps in patients with brain tumors, providing clear separation between active tumor and treatment effects. We studied the application of standard and delayed-contrast MR imaging for assessing and predicting the response to bevacizumab. MATERIALS AND

methodsTwenty-four patients with recurrent high-grade gliomas were scanned before and during bevacizumab treatment by standard and delayed-contrast MR imaging. The mean change in lesion volumes of responders (overall survival, ≥1 year) and nonresponders (overall survival, <1 year) was studied. The lesion volumes at baseline and the changes in lesion volumes 1 month after treatment initiation, calculated from standard and delayed-contrast MRIs, were studied as possible predictors of outcome. In scans acquired at progression, the average change in lesion volume from previous follow-up in standard and delayed-contrast MRIs was compared.

resultsResponse and progression patterns were identified from the mean change in lesion volumes, depicted from conventional T1WI, delayed contrast-enhanced MR imaging, and DSC MR imaging. Thresholds for early prediction of response were calculated by using these sequences. For each predictor, sensitivity, specificity, positive predictive values, and negative predictive values were calculated, reaching 85.7%, 87.5%, 75%, and 93.3% for conventional T1WI; 100%, 87.5%, 77.8%, and 100% for delayed-contrast MR imaging; and 75%, 78.6%, 50%, and 91.7% for DSC MR imaging. The benefit of delayed-contrast MR imaging in separating responders and nonresponders was further confirmed by using log-rank tests (conventional T1WI,

conclusionsThe benefit of contrast-enhanced MR imaging for assessing and predicting the response to bevacizumab was demonstrated. The increased sensitivity of the treatment-response-assessment maps reflects their potential contribution to the management of bevacizumab-treated patients with recurrent high-grade glioma.

Identifiers

PMID27390321
PMCPMC7963779

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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.