Evidence map›Paper›PMID 20575076›Full record

ReviewJournal of magnetic resonance imaging : JMRI2010

Predicting and monitoring cancer treatment response with diffusion-weighted MRI.

Harriet C Thoeny, Brian D Ross

Registry-linked trialOpen access · bronzeAbstract readReview
In one paragraph

Review in Journal of magnetic resonance imaging : JMRI, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT02433301 (PET/MR-imaging and Circulating Tumour Cells to Evaluate the Response of Chemotherapy in Patients With Gastroesophageal Junction Cancer), which is not on this map. Cited by 167 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
167citing papers in PubMed, 3 pooled it
18.2field-weighted citation impact, top 1% 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.

NCT02433301 completednot on this mapstarted 2015, after this paper: background citation

PET/MR-imaging and Circulating Tumour Cells to Evaluate the Response of Chemotherapy in Patients With Gastroesophageal Junction Cancer

TypeobservationalSponsorRikshospitalet University HospitalRan2015 to 2016Enrolled23ConditionsGastroesophageal Junction Cancer
3 · Its place in the literature

Who cites it

167 citing papers in PubMed, 3 syntheses or guidelines pooled it, 358 citations in OpenAlex.

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  12. Preclinical Applications of Magnetic Resonance Imaging in Oncology.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
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107 more citing papers are in PubMed but not listed here.

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

2 authors at 2 institutions in 2 countries.

Harriet C ThoenyDepartment of Radiology, University Hospital of Bern, Inselspital, Bern, Switzerland.
Brian D Ross
University Hospital of Bern · CHUniversity of Michigan–Ann Arbor · US

Funding

QUANTITATION OF HUMAN BRAIN TUMOR THERAPY RESPONSE BY MRP01CA085878 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSS, BRIAN D. · 2001 to 2017
$31.9M
Small Animal Imaging CoreP50CA093990 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ROSS, BRIAN D. · 2002 to 2012
$19.0M
NCI NIH HHS P01 CA085878NCI NIH HHS P01CA085878NCI NIH HHS P50 CA093990NCI NIH HHS P50CA093990
6 · The paper itself

Abstract

An imaging biomarker that would provide for an early quantitative metric of clinical treatment response in cancer patients would provide for a paradigm shift in cancer care. Currently, nonimage based clinical outcome metrics include morphology, clinical, and laboratory parameters, however, these are obtained relatively late following treatment. Diffusion-weighted MRI (DW-MRI) holds promise for use as a cancer treatment response biomarker as it is sensitive to macromolecular and microstructural changes which can occur at the cellular level earlier than anatomical changes during therapy. Studies have shown that successful treatment of many tumor types can be detected using DW-MRI as an early increase in the apparent diffusion coefficient (ADC) values. Additionally, low pretreatment ADC values of various tumors are often predictive of better outcome. These capabilities, once validated, could provide for an important opportunity to individualize therapy thereby minimizing unnecessary systemic toxicity associated with ineffective therapies with the additional advantage of improving overall patient health care and associated costs. In this report, we provide a brief technical overview of DW-MRI acquisition protocols, quantitative image analysis approaches and review studies which have implemented DW-MRI for the purpose of early prediction of cancer treatment response.

Indexed as

Bone NeoplasmsBreast NeoplasmsDiffusion Magnetic Resonance ImagingDigestive System NeoplasmsFemaleHead and Neck NeoplasmsHumansImage Processing, Computer-AssistedMalePrecision MedicinePredictive Value of TestsTreatment OutcomeUterine Cervical Neoplasms

Identifiers

PMID20575076
PMCPMC2918419
OpenAlexW2033436316

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.