Evidence map›Paper›PMID 32528211›Full record

ArticleProceedings of SPIE--the International Society for Optical Engineering2019

Radiomics Analysis of MRI for Predicting Molecular Subtypes of Breast Cancer in Young Women.

Qinmei Li, James Dormer, Priyanka Daryani, Deji Chen, Zhenfeng Zhang, Baowei Fei

Abstract read
In one paragraph

Article in Proceedings of SPIE--the International Society for Optical Engineering, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Review
  2. 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.

Qinmei LiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX.
James DormerDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX.
Priyanka DaryaniDepartment of Radiology and Advanced Imaging Research Center, University of Texas Southwestern Medical Center, Dallas, TX.
Deji ChenDepartment of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Zhenfeng ZhangDepartment of Radiology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Baowei FeiDepartment of Bioengineering, University of Texas at Dallas, Richardson, TX.

Funding

Image-guided Intravascular Robotic System for Mitral Valve Repair and ImplantsR01HL140325 · NHLBI · GEORGIA INSTITUTE OF TECHNOLOGY · PI DESAI, JAYDEV P., FEI, BAOWEI · 2018 to 2021
$3.0M
ACADEMIC-INDUSTRIAL PARTNERSHIP FOR TRANSLATION OF PET/TRUS GUIDED INTERVENTIONR01CA204254 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2017 to 2021
$2.0M
MOLECULAR IMAGING DIRECTED, 3D ULTRASOUND-GUIDED, BIOPSY SYSTEMR01CA156775 · NCI · UNIVERSITY OF TEXAS DALLAS · PI FEI, BAOWEI · 2011 to 2016
$1.7M
Targeted fusion biopsy using anti-[18F]FACBC PET/CT and real-time 3D ultrasound gR21CA176684 · NCI · EMORY UNIVERSITY · PI FEI, BAOWEI, MASTER, VIRAJ · 2013 to 2014
$568k
STAN-CT: Standardization and Normalization of CT images for Lung Cancer PatientsR21CA231911 · NCI · UNIVERSITY OF KENTUCKY · PI CHEN, JIN, FEI, BAOWEI · 2019 to 2020
$389k
NCI NIH HHS R01 CA156775NCI NIH HHS R01 CA204254NCI NIH HHS R21 CA176684NCI NIH HHS R21 CA231911NHLBI NIH HHS R01 HL140325
6 · The paper itself

Abstract

Breast cancer in young women is commonly aggressive, in part because the proportion of high-grade, triple-negative (TN) tumor is too high. There are certain limitations in the detection of biopsies or surgical specimens which only select part of tumor sample tissue and ignore the possible heterogeneity of tumors. In clinical practice, MRI is used for the diagnosis of breast cancer. MRI-based radiomics is a developing approach that may provide not only the diagnostic value for breast cancer but also the predictive or prognostic associations between the images and biological characteristics. In this work, we used radiomics methods to analyze MR images of breast cancer in 53 young women, and correlated the radiomics data with molecular subtypes. The results indicated a significant difference between TN type and non-TN type of breast cancer in young women on the radiomics features based on T2-weighted MR images. This may be helpful for the identification of TN type and guiding the therapeutic strategies.

Identifiers

PMID32528211
PMCPMC7289058

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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.