Evidence map›Paper›PMID 24986746›Full record

ArticleInternational journal of radiation oncology, biology, physics2014

3-Dimensional magnetic resonance spectroscopic imaging at 3 Tesla for early response assessment of glioblastoma patients during external beam radiation therapy.

Manickam Muruganandham, Patrick P Clerkin, Brian J Smith, Carryn M Anderson, Ann Morris, Aristides A Capizzano, Vincent Magnotta, Sarah M McGuire, Mark C Smith, John E Bayouth and 1 more

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
2.5field-weighted citation impact, top 11% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 47 citations in OpenAlex.

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  11. Automated Acquisition Planning for Magnetic Resonance Spectroscopy in Brain Cancer.Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention · 2020
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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

11 authors at 2 institutions in 1 country.

Manickam MuruganandhamDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Patrick P ClerkinDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Brian J SmithDepartment of Biostatistics, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Carryn M AndersonDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Ann MorrisDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Aristides A CapizzanoDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Vincent MagnottaDepartment of Radiology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Sarah M McGuireDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
Mark C SmithDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
John E BayouthDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa.
John M BuattiDepartment of Radiation Oncology, University of Iowa Hospitals and Clinics, Iowa City, Iowa. Electronic address: john-buatti@uiowa.edu.
University of Iowa Hospitals and Clinics · USUniversity of Iowa · US

Funding

Viral VectorP30CA086862 · NCI · UNIVERSITY OF IOWA · PI Mark E Burkard · 2000 to 2026
$70.0M
Quantitative Imaging to Assess Response in Cancer Therapy TrialsU01CA140206 · NCI · UNIVERSITY OF IOWA · PI BUATTI, JOHN M, CASAVANT, THOMAS L. · 2010 to 2019
$5.8M
NCI NIH HHS 1 U01 CA140206-01 A1NCI NIH HHS P30 CA086862NCI NIH HHS U01 CA140206
6 · The paper itself

Abstract

purposeTo evaluate the utility of 3-dimensional magnetic resonance (3D-MR) proton spectroscopic imaging for treatment planning and its implications for early response assessment in glioblastoma multiforme. METHODS AND MATERIALS: Eighteen patients with newly diagnosed, histologically confirmed glioblastoma had 3D-MR proton spectroscopic imaging (MRSI) along with T2 and T1 gadolinium-enhanced MR images at simulation and at boost treatment planning after 17 to 20 fractions of radiation therapy. All patients received standard radiation therapy (RT) with concurrent temozolomide followed by adjuvant temozolomide. Imaging for response assessment consisted of MR scans every 2 months. Progression-free survival was defined by the criteria of MacDonald et al. MRSI images obtained at initial simulation were analyzed for choline/N-acetylaspartate ratios (Cho/NAA) on a voxel-by-voxel basis with abnormal activity defined as Cho/NAA ≥2. These images were compared on anatomically matched MRSI data collected after 3 weeks of RT. Changes in Cho/NAA between pretherapy and third-week RT scans were tested using Wilcoxon matched-pairs signed rank tests and correlated with progression-free survival, radiation dose and location of recurrence using Cox proportional hazards regression.

resultsAfter a median follow-up time of 8.6 months, 50% of patients had experienced progression based on imaging. Patients with a decreased or stable mean or median Cho/NAA values had less risk of progression (P<.01). Patients with an increase in mean or median Cho/NAA values at the third-week RT scan had a significantly greater chance of early progression (P<.01). An increased Cho/NAA at the third-week MRSI scan carried a hazard ratio of 2.72 (95% confidence interval, 1.10-6.71; P=.03). Most patients received the prescription dose of RT to the Cho/NAA ≥2 volume, where recurrence most often occurred.

conclusionChange in mean and median Cho/NAA detected at 3 weeks was a significant predictor of early progression. The potential impact for risk-adaptive therapy based on early spectroscopic findings is suggested.

Indexed as

Disease ProgressionAdultAgedAntineoplastic Agents, AlkylatingAspartic AcidBiomarkers, TumorBrain NeoplasmsChemoradiotherapyCholineContrast MediaDacarbazineDisease-Free SurvivalFemaleFollow-Up StudiesGadoliniumGlioblastomaAntineoplastic Agents, AlkylatingAspartic AcidBiomarkers, TumorCholineContrast MediaDacarbazineGadoliniumN-acetylaspartateTemozolomide

Identifiers

PMID24986746
PMCPMC4183193
OpenAlexW2125354863

What OpenQuestion holds

Textmetadata
LicenceTDM
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.