Evidence map›Paper›PMID 25096888›Full record

ArticleLa Radiologia medica2015

Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.

Paolo Belli, Melania Costantini, Enida Bufi, Giuseppe Giovanni Giardina, Pierluigi Rinaldi, Gianluca Franceschini, Lorenzo Bonomo

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in La Radiologia medica, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Peritumoral Fat Content Identified Using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-squares Estimation (IDEAL) Correlates with Breast Cancer Prognosis.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
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  9. Quantitative and Qualitative Evaluation of Breast Cancer Prognosis: A Sonographic Elastography Study.Medical science monitor : international medical journal of experimental and clinical research · 2019
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  17. Diagnostic Performance of Diffusion Tensor Imaging with Readout-segmented Echo-planar Imaging for Invasive Breast Cancer: Correlation of ADC and FA with Pathological Prognostic Markers.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2017
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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

7 authors.

Paolo BelliDepartment of Bio-Imaging and Radiological Sciences, Università Cattolica del Sacro Cuore, L.go A. Gemelli 8, 00168, Rome, Italy, pbelli@rm.unicatt.it.
Melania Costantini
Enida Bufi
Giuseppe Giovanni Giardina
Pierluigi Rinaldi
Gianluca Franceschini
Lorenzo Bonomo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study was done to investigate the correlation between the apparent diffusion coefficient (ADC) and prognostic factors of breast cancer. MATERIALS AND

methodsFrom January 2008 to June 2011, all consecutive patients with breast cancer who underwent breast magnetic resonance imaging (MRI) and subsequent surgery in our hospital were enrolled in our study. The MRI protocol included a diffusion-weighted imaging sequence with b values of 0 and 1,000 s/mm(2). For each target lesion in the breast, the ADC value was compared with regard to major prognostic factors: histology, tumour grade, tumour size, lymph node status, and age.

resultsA total of 289 patients with a mean age of 53.49 years were included in the study. The mean ADC value of malignant lesions was 1.02 × 10(-3) mm(2)/s. In situ carcinomas, grade 1 lesions, and tumours without lymph nodal involvement had mean ADC values that were significantly higher than those of invasive carcinomas (p = 0.009), grade 2/3 lesions (p < 0.001), and tumours with nodal metastases (p = 0.001). No significant differences were observed in ADC values among tumours of different sizes or among patient age groups.

conclusionsADC values appear to correlate with tumour grade and some major prognostic factors.

Indexed as

Diffusion Magnetic Resonance ImagingAdultAgedAged, 80 and overAlgorithmsBreast NeoplasmsCarcinoma, Ductal, BreastCarcinoma in SituCarcinoma, LobularFemaleHumansImage EnhancementImage Interpretation, Computer-AssistedMagnetic Resonance ImagingMiddle AgedNeoplasm Grading

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Registered trials

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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.