Evidence map›Paper›PMID 38325834›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2025

Peritumoral Fat Content Identified Using Iterative Decomposition of Water and Fat with Echo Asymmetry and Least-squares Estimation (IDEAL) Correlates with Breast Cancer Prognosis.

Natsumi Hirano Tani, Yuki Koreeda, Aya Nawata, Akitaka Fujisaki, Yoshiko Hayashida, Shohei Shimajiri, Toshiyuki Nakayama, Masanori Hisaoka, Yuzuru Inoue, Keiji Hirata and 3 more

Abstract read
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In one paragraph

Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2025. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Quantitative MR Imaging of the Breast.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2025
    Review
  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

13 authors.

Natsumi Hirano TaniDepartment of Radiology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Yuki KoreedaDepartment of Surgery 1, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Aya NawataDepartment of Pathology and Oncology, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Akitaka FujisakiDepartment of Radiology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Yoshiko HayashidaDepartment of Radiology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Shohei ShimajiriDepartment of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Toshiyuki NakayamaDepartment of Pathology and Cell Biology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Masanori HisaokaDepartment of Pathology and Oncology, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Yuzuru InoueDepartment of Surgery 1, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Keiji HirataDepartment of Surgery 1, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Yuko TashimaDepartment of Surgery 2, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Fumihiro TanakaDepartment of Surgery 2, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.
Takatoshi AokiDepartment of Radiology, School of Medicine, University of Occupational and Environmental Health, Kitakyushu, Fukuoka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeAdipocytes around aggressive breast cancer (BC) are less lipid different from naive adipocytes (cancer-associated adipocytes, CAAs), and peritumoral edema caused by the release of cytokines from CAAs can conduce to decrease the peritumoral fat proportion. The purpose of this study was to correlate peritumoral fat content identified by using iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL) with lymph node metastasis (LNM) and recurrence-free survival (RFS) in BC patients and to compare with T2-weighted (T2WI) and diffusion-weighted images (DWI) analyses.

methodsThis retrospective study consisted of 85 patients who were diagnosed with invasive carcinoma of breast and underwent breast MRI, including IDEAL before surgery. The scan time of fat fraction (FF) map imaging using IDEAL was 33s. Four regions of interest (ROIs), which are 5 mm from the tumor edge, and one ROI in the mammary fat of the healthy side were set on the FF map. Then average peritumoral FF values (TFF), average FF values on the healthy side (HFF), and peritumoral fat ratio (PTFR, which is defined as TFF/HFF) were calculated. Tumor apparent diffusion coefficient (ADC) values were measured on ADC map obtained by DWI. Peritumoral edema was classified into three grades based on the degree of signal intensity around the tumor on T2WI (T2 edema).

resultsThe results of stepwise logistic regression analysis for four variables (TFF, PTFR, T2 edema, and ADC value) indicated that TFF and T2 edema were significant factors of LNM (P < 0.01). RFS was significantly associated with TFF (P = 0.016), and 47 of 49 (95.9%) patients with TFF more than 85.5% were alive without recurrence.

conclusionPeritumoral fat content identified by using IDEAL is associated with LNM and RFS and may therefore be a useful prognostic biomarker for BC.

Indexed as

Adipose TissueBreast NeoplasmsDiffusion Magnetic Resonance ImagingAdipocytesAdultAgedBreastFemaleHumansImage Interpretation, Computer-AssistedLeast-Squares AnalysisLymphatic MetastasisMagnetic Resonance ImagingMiddle AgedPrognosisRetrospective StudiesWateradipose tissuebreast neoplasmsmagnetic resonance imagingprognosisrecurrence-free survival

Identifiers

PMID38325834
PMCPMC11733510

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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.