Evidence map›Paper›PMID 24719242›Full record

Trial reportJournal of magnetic resonance imaging : JMRI2014

High resolution in vivo characterization of apparent diffusion coefficient at the tumor-stromal boundary of breast carcinomas: a pilot study to assess treatment response using proximity-dependent diffusion-weighted imaging.

Rebekah L McLaughlin, David C Newitt, Lisa J Wilmes, Ella F Jones, Dorota J Wisner, John Kornak, Evelyn Proctor, Bonnie N Joe, Nola M Hylton

Abstract readClinical Trial
In one paragraph

Trial report in Journal of magnetic resonance imaging : JMRI, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. The utility of measuring the apparent diffusion coefficient for peritumoral zone in assessing infiltration depth of endometrial cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2018
    Article
  10. Article
  11. Diffusion-weighted breast MRI: Clinical applications and emerging techniques.Journal of magnetic resonance imaging : JMRI · 2017
    Review
  12. Article
  13. Article
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

9 authors.

Rebekah L McLaughlinThe UC Berkeley - UCSF Graduate Program in Bioengineering, San Francisco and Berkeley, California, USA; Department of Radiology and Biomedical Imaging, UCSF, San Francisco, California, USA.
David C Newitt
Lisa J Wilmes
Ella F Jones
Dorota J Wisner
John Kornak
Evelyn Proctor
Bonnie N Joe
Nola M Hylton

Funding

UCSF/UCB Joint Graduate Group in BIoengineeringT32GM008155 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DESAI, TEJAL A. · 1985 to 2020
$12.2M
ANATOMIC AND BIOLOGIC STAGING OF BREAST DISEASE WITH MRIR01CA069587 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M. · 1997 to 2010
$3.5M
MRI For Staging DCIS and Assessing Response to TreatmentR01CA116182 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HYLTON-WATSON, NOLA M. · 2006 to 2010
$2.1M
NCI NIH HHS R01 CA069587NCI NIH HHS R01 CA116182NCI NIH HHS R01 CA69587NIGMS NIH HHS GM008155-25NIGMS NIH HHS T32 GM008155PHS HHS R01 116182
6 · The paper itself

Abstract

purposeTo evaluate diffusion changes in the breast tumor-stromal boundary and adjacent tissue in response to neoadjuvant chemotherapy using high resolution diffusion-weighted imaging (HR-DWI). MATERIALS AND

methodsSeven patients with invasive breast cancer were imaged with HR-DWI before and early during treatment. The mean apparent diffusion coefficient (ADC) was plotted in 1-mm increments around the tumor boundary. Early change in ADC was measured for tumor, tumor boundary, and stromal regions, and the relationship to treatment response was evaluated using Spearman's correlation.

resultsStatistically significant correlations between treatment response and early changes in ADC were found for: (i) whole tumor (ρ = 0.93, 95% confidence interval [CI] = (0.58, 0.99), P = 0.003); (ii) tumor rim (ρ = 0.75, 95% CI = (-0.007, 0.96), P = 0.05); and (iii) boundary transition region (ρ = 0.86, 95% CI = (0.29, 0.98), P = 0.01). Early change in ADC of distal stroma had a marginally statistically significant positive correlation to treatment response (ρ = 0.71, 95% CI = (-0.084, 0.95), P = 0.07).

conclusionProximity-dependent evaluation of HR-DWI data in the breast tumor-stromal boundary and adjacent tissue may provide information about response to therapy.

Indexed as

AlgorithmsAntineoplastic Combined Chemotherapy ProtocolsBreast NeoplasmsBridged-Ring CompoundsChemotherapy, AdjuvantDiffusion Magnetic Resonance ImagingDoxorubicinFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedNeoplasm InvasivenessPilot ProjectsReproducibility of ResultsSensitivity and SpecificityTaxoidsBridged-Ring CompoundsDoxorubicintaxaneTaxoidsbreast cancerDWIMRIneoadjuvant chemotherapy

Identifiers

PMID24719242
PMCPMC3983569

What OpenQuestion holds

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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.