Evidence map›Paper›PMID 32478083›Full record

ReviewFrontiers in medicine2020

Current and Emerging Magnetic Resonance-Based Techniques for Breast Cancer.

Apekshya Chhetri, Xin Li, Joseph V Rispoli

Registry-linked trialAbstract readReview
In one paragraph

Review in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05804643 (Development and Optimization of Novel MRI Techniques on Evaluation of Therapeutic Effects for Lymphedema Secondary to Breast Cancer Treatment), which is not on this map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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.

NCT05804643 recruitingnot on this mapstarted 2023, after this paper: background citation

Development and Optimization of Novel MRI Techniques on Evaluation of Therapeutic Effects for Lymphedema Secondary to Breast Cancer Treatment: An Integrated Study of Pre-clinical Animal Models and Clinical Follow-up

TypeobservationalSponsorNational Taiwan University HospitalRan2023 to 2026Enrolled210ConditionsLymphedema of Upper LimbArmsDiffusion magnetic resonance imaging
3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. 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

3 authors.

Apekshya ChhetriMagnetic Resonance Biomedical Engineering Laboratory, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Xin LiMagnetic Resonance Biomedical Engineering Laboratory, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.
Joseph V RispoliMagnetic Resonance Biomedical Engineering Laboratory, Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, United States.

Funding

Transgenic Mouse Core Facility Shared Resource (TMCF-SR)P30CA023168 · NCI · PURDUE UNIVERSITY WEST LAFAYETTE · PI Andrea L Kasinski · 1985 to 2026
$43.4M
Fast Targeted Spectroscopic Imaging for Brain Tumor Imaging at 3T and 7TR01EB024408 · NIBIB · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PAN, JULLIE W · 2018 to 2021
$1.9M
Removable second-order trap for common-mode current suppression in multi-nuclear MRI cablingR03EB026231 · NIBIB · PURDUE UNIVERSITY · PI RISPOLI, JOSEPH V · 2018 to 2019
$143k
NCI NIH HHS P30 CA023168NIBIB NIH HHS R01 EB024408
6 · The paper itself

Abstract

Breast cancer is the most commonly diagnosed cancer among women worldwide, and early detection remains a principal factor for improved patient outcomes and reduced mortality. Clinically, magnetic resonance imaging (MRI) techniques are routinely used in determining benign and malignant tumor phenotypes and for monitoring treatment outcomes. Static MRI techniques enable superior structural contrast between adipose and fibroglandular tissues, while dynamic MRI techniques can elucidate functional characteristics of malignant tumors. The preferred clinical procedure-dynamic contrast-enhanced MRI-illuminates the hypervascularity of breast tumors through a gadolinium-based contrast agent; however, accumulation of the potentially toxic contrast agent remains a major limitation of the technique, propelling MRI research toward finding an alternative, noninvasive method. Three such techniques are magnetic resonance spectroscopy, chemical exchange saturation transfer, and non-contrast diffusion weighted imaging. These methods shed light on underlying chemical composition, provide snapshots of tissue metabolism, and more pronouncedly characterize microstructural heterogeneity. This review article outlines the present state of clinical MRI for breast cancer and examines several research techniques that demonstrate capacity for clinical translation. Ultimately, multi-parametric MRI-incorporating one or more of these emerging methods-presently holds the best potential to afford improved specificity and deliver excellent accuracy to clinics for the prediction, detection, and monitoring of breast cancer.

Indexed as

breast cancercontrastdiffusionmagnetic resonanceMRIspectroscopy

Identifiers

PMID32478083
PMCPMC7235971

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.