Evidence map›Paper›PMID 36976338›Full record

ArticleEuropean radiology2023

Probing lipids relaxation times in breast cancer using magnetic resonance spectroscopic fingerprinting.

Noam Nissan, Alexey Kulpanovich, Ravit Agassi, Tanir Allweis, Ilana Haas, Einat Carmon, Edna Furman-Haran, Debbie Anaby, Miri Sklair-Levy, Assaf Tal

Abstract read
PubMed Publisher
In one paragraph

Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Clinical MR Biomarkers.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2026
    Review
  2. Article
  3. 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

10 authors at 6 institutions in 1 country.

Noam Nissan *Department of Radiology, Sheba Medical Center, Ramat Gan, Israel.
Alexey Kulpanovich *Department of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel.
Ravit AgassiDepartment of General Surgery, Soroka Medical Center, Beersheba, Israel.
Tanir AllweisDepartment of General Surgery, Kaplan Medical Center, Rehovot, Israel.
Ilana HaasDepartment of General Surgery, Meir Medical Center, Kefar Sava, Israel.
Einat CarmonDepartment of General Surgery, Hadassah Medical Center, Jerusalem, Israel.
Edna Furman-HaranMRI Unit, Weizmann Institute of Science, Rehovot, Israel.
Debbie AnabyDepartment of Radiology, Sheba Medical Center, Ramat Gan, Israel.
Miri Sklair-LevyDepartment of Radiology, Sheba Medical Center, Ramat Gan, Israel.
Assaf TalDepartment of Chemical and Biological Physics, Weizmann Institute of Science, Rehovot, Israel. assaf.tal@weizmann.ac.il.ORCID http://orcid.org/0000-0001-6718-6522
Tel Aviv University · ILWeizmann Institute of Science · ILHadassah Medical Center · ILKaplan Medical Center · ILMeir Medical Center · ILSoroka Medical Center · IL

Funding

Israel Science Foundation 416/20
6 · The paper itself

Abstract

objectivesTo investigate the clinical relevance of the relaxation times of lipids within breast cancer and normal fibroglandular tissue in vivo, using magnetic resonance spectroscopic fingerprinting (MRSF).

methodsTwelve patients with biopsy-confirmed breast cancer and 14 healthy controls were prospectively scanned at 3 T using a protocol consisting of diffusion tensor imaging (DTI), MRSF, and dynamic contrast-enhanced (DCE) MRI. Single-voxel MRSF data was recorded from the tumor (patients) - identified using DTI - or normal fibroglandular tissue (controls), in under 20 s. MRSF data was analyzed using in-house software. Linear mixed model analysis was used to compare the relaxation times of lipids in breast cancer VOIs vs. normal fibroglandular tissue.

resultsSeven distinguished lipid metabolite peaks were identified and their relaxation times were recorded. Of them, several exhibited statistically significant changes between controls and patients, with strong significance (p < 10

conclusionsThe application of MRSF to breast cancer imaging is feasible and achievable in clinically relevant scan time. Further studies are required to verify and comprehend the underling biological mechanism behind the differences in lipid relaxation times in cancer and normal fibroglandular tissue. KEY POINTS: •The relaxation times of lipids in breast tissue are potential markers for quantitative characterization of the normal fibroglandular tissue and cancer. •Lipid relaxation times can be acquired rapidly in a clinically relevant manner using a single-voxel technique, termed MRSF. •Relaxation times of T

Indexed as

Breast NeoplasmsDiffusion Tensor ImagingFemaleHumansLipidsMagnetic Resonance ImagingMagnetic Resonance SpectroscopyLipidsBreast cancer imagingBreast MRSLipids in breast cancerMagnetic resonance fingerprintingMagnetic resonance spectroscopy

Identifiers

PMID36976338
OpenAlexW4361190688

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.