Evidence map›Paper›PMID 28883997›Full record

ArticleFuture science OA2017

Evaluation of T1/T2 ratios in a pilot study as a potential biomarker of biopsy: proven benign and malignant breast lesions in correlation with histopathological disease stage.

Marina A Malikova, Jaroslaw N Tkacz, Priscilla J Slanetz, Chao-Yu Guo, Adam Aakil, Hernan Jara

Open access · goldAbstract read
In one paragraph

Article in Future science OA, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
–field-weighted citation impact, top 93% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Applications of TFrontiers in oncology · 2022
    Pooled it
  2. Monitoring Pharmacological Treatment of Breast Cancer with MRI.Current issues in molecular biology · 2025
    Review
  3. Article
  4. Article
  5. 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

6 authors at 3 institutions in 1 country.

Marina A MalikovaDepartment of Surgery, Boston University, Boston Medical Center, 88 East Newton Street, Collamore Building, Suite D507a, Boston, MA 02118, USA.
Jaroslaw N TkaczDepartment of Radiology, Boston Medical Center, Boston University, Boston, MA 02118, USA.
Priscilla J SlanetzDepartment of Radiology, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, MA 02215, USA.
Chao-Yu GuoDepartment of Biostatistics, Boston University, Boston, MA 02118, USA.
Adam AakilDepartment of Radiology, Boston Medical Center, Boston University, Boston, MA 02118, USA.
Hernan JaraDepartment of Radiology, Boston Medical Center, Boston University, Boston, MA 02118, USA.
Boston University · USBoston Medical Center · USHarvard University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimEarly breast cancer detection is important for intervention and prognosis. Advances in treatment and outcome require diagnostic tools with highly positive predictive value. PURPOSE: To study the potential role of quantitative MRI (qMRI) using T1/T2 ratios to differentiate benign from malignant breast lesions.

methodsA cross-sectional study of 69 women with 69 known or suspicious breast lesions were scanned with mixed-turbo spin echo pulse sequence. Patients were grouped according to histopathological assessment of disease stage: untreated malignant tumor, treated malignancy and benign disease. RESULTS & DISCUSSION: Elevated T1/T2 means were observed for biopsy-proven malignant lesions and for malignant lesions treated prior to qMRI with chemotherapy and/or radiation, as compared with benign lesions. The qMRI-obtained T1/T2 ratios correlated with histopathology. Analysis revealed correlation between elevated T1/T2 ratio and disease stage. This could provide valuable complementary information on tissue properties as an additional diagnostic tool.

Indexed as

breast imagingdevelopment of potential biomarker for evaluation of breast diseasemagnetic resonance imagingquantitative magnetic resonance imaging

Identifiers

PMID28883997
PMCPMC5583698
OpenAlexW2611704741

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.