Evidence map›Paper›PMID 25503713›Full record

ArticlePloS one2014

Identifying MRI markers associated with early response following laser ablation for neurological disorders: preliminary findings.

Pallavi Tiwari, Shabbar Danish, Anant Madabhushi

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Multimodal neuro-nanotechnology: Challenging the existing paradigm in glioblastoma therapy.Proceedings of the National Academy of Sciences of the United States of America · 2024
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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

3 authors at 2 institutions in 1 country.

Pallavi TiwariDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
Shabbar DanishDivision of Neurosurgery, Rutgers-RWJ Medical School, New Brunswick, New Jersey, United States of America.
Anant MadabhushiDepartment of Biomedical Engineering, Case Western Reserve University, Cleveland, Ohio, United States of America.
Case Western Reserve University · USRutgers, The State University of New Jersey · US

Funding

Software to facilitate multimode, multiscale fused data for Pathology and RadioloR01CA136535 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FELDMAN, MICHAEL D, MADABHUSHI, ANANT · 2009 to 2013
$3.2M
Prostate-cancer Imaging by Combined Ultrasound and Magnetic-resonance ParametersR01CA140772 · NCI · RIVERSIDE RESEARCH INSTITUTE · PI FELEPPA, ERNEST JOSEPH · 2010 to 2014
$3.0M
Comprehensive quantitative ultrafast 3D liver MRIR01DK098503 · NIDDK · CASE WESTERN RESERVE UNIVERSITY · PI GULANI, VIKAS, SEIBERLICH, NICOLE · 2013 to 2017
$2.6M
Decision support with MRI for targeting, evaluating laser ablation for prostate cR21CA167811 · NCI · RUTGERS, THE STATE UNIV OF N.J. · PI MADABHUSHI, ANANT · 2012 to 2013
$516k
Histologic image-based aggressiveness prediction in p16+ oropharyngeal carcinomaR21CA179327 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI MADABHUSHI, ANANT · 2014 to 2015
$389k
NCI NIH HHS R01 CA136535NCI NIH HHS R01CA136535-01NCI NIH HHS R01 CA140772NCI NIH HHS R01CA140772-01NCI NIH HHS R21 CA167811NCI NIH HHS R21CA167811-01NCI NIH HHS R21 CA179327NCI NIH HHS R21CA179327-01NIDDK NIH HHS R01 DK098503NIDDK NIH HHS R01DK098503-02PHS HHS RES508406
6 · The paper itself

Abstract

There is a renewed interest in MR-guided laser interstitial thermal therapy (LITT) as a minimally invasive alternative to craniotomy for local treatment of various brain tumors and epilepsy. LITT allows for focused delivery of laser energy monitored in real time by MRI, for precise ablation of the lesion. Although highly promising, the long-term effects of laser ablation as a viable treatment option for neurological disorders have yet to be rigorously studied and quantified. In this work, we present a quantitative framework for monitoring per-voxel thermal-induced changes post-LITT over time on multi parametric MRI. We demonstrate that voxel-by-voxel quantification of MRI markers over time can enable a careful and accurate (a) characterization of early LITT-related changes (if and when they are exaggerated and when they subside), and (b) identification and monitoring of MRI markers that potentially allow for better quantification of response to LITT therapy. The framework was evaluated on two distinct cohorts of patients (GBM, epilepsy), who were monitored post-LITT at regular time-intervals via multi-parametric MRI. On a cohort of six GBM studies we found that (a) it may be important for the initial treatment-related changes to subside to more reliably capture MRI markers relating to tumor recurrence, and (b) T1w MRI and T2-GRE may better differentiate changes that may correspond to tumor recurrence from patients with no recurrence, as compared to T2w-MRI, and FLAIR. Similarly, our preliminary analysis of four epilepsy studies suggests that (a) early LITT changes (attributed to swelling, edema) appear to subside within 4-weeks post-LITT, and (b) ADC may be more reflective of early treatment changes (up to 1 month), while T1w may be more reflective of early delayed treatment changes (1 month, 3 months), while T2-w and T2-FLAIR appeared to be more sensitive to late treatment related changes (6-months post-LITT) compared to the other MRI protocols under evaluation.

Indexed as

Fiducial MarkersLaser TherapyCohort StudiesEpilepsyGlioblastomaHumansImage Processing, Computer-AssistedMagnetic Resonance ImagingTime FactorsTreatment Outcome

Identifiers

PMID25503713
PMCPMC4263602
OpenAlexW1972806140

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.