Evidence map›Paper›PMID 25260884›Full record

SynthesisTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2015

In vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis.

Jieying Tan, Li Xu, Wenqing Yao, Yun Wan, Shuqin Zhou, Sherman Xuegang Xin

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

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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

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

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  6. Reply to: "in vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis".Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
    Article
  7. Comments on "In vivo post-contrast 1H-MRS evaluation of malignant and benign breast lesions: a meta-analysis".Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2015
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Jieying TanDepartment of Medical Imaging, Guangzhou Nansha Central Hospital, Guangzhou First People's Hospital, Guangzhou Medical University, Guangzhou, Guangdong Province, 510150, People's Republic of China.
Li Xu
Wenqing Yao
Yun Wan
Shuqin Zhou
Sherman Xuegang Xin

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study is to perform a meta-analysis to evaluate the diagnostic performance of the in vivo post-contrast proton magnetic resonance spectroscopy (MRS) for benign/malignant discrimination of focal breast lesions. Sixteen studies with a total of 661 malignant breast lesions and 388 benign breast lesions were included. The pooled sensitivity and specificity of post-contrast 1H-MRS were 74 % (95 % confidence interval (CI) 70-77 %) and 78 % (95 % CI 73-82 %), respectively. The positive likelihood ratio (PLR) and the negative likelihood ratio (NLR) were 4.00 (95 % CI 2.74-5.84) and 0.25 (95 % CI 0.17-0.37), respectively. From the fitted summary receiver operating characteristics curve (SROC), the AUC and Q* index were 0.89 and 0.83. Publication bias was present (t = 2.43, P = 0.029). Meta-regression analysis suggested that neither threshold effect nor evaluated covariates including method of choline analysis, strength of field, pulse sequence, repetition time (TR), and time interval were sources of heterogeneity (all P values >0.05). In vivo post-contrast 1H-MRS was useful for differentiation between malignant and benign focal breast lesions. However, pooled diagnostic measures might be overestimated. The standardization of the acquisition protocol as well as the post-processing method for post-contrast proton MRS need to be established for the future study.

Indexed as

Contrast MediaBreast NeoplasmsFemaleHumansMagnetic Resonance SpectroscopyROC CurveContrast Media

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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.