Evidence map›Paper›PMID 41015861›Full record

ArticleKorean journal of radiology2025

Quantitative Time-Dependent Diffusion MRI for Diagnosis and Aggressiveness Assessment of Endometrial Cancer: A Prospective Study.

Wenyi Yue, Ruxue Han, Junzhong Xu, Chaoyang Jin, Xiaoyu Jiang, Dandan Zheng, Jing Peng, Jun Lu, Qiming Liu, Ning Xu and 3 more

Abstract read
In one paragraph

Article in Korean journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Microstructure mapping with time-dependent diffusion MRI differentiates primary central nervous system lymphoma from glioblastoma.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026
    Article
  4. Review
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.

Wenyi YueDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0005-1104-5153
Ruxue HanDepartment of Gynecology and Obstetrics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0009-0005-0577-7286
Junzhong XuInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0001-7895-4232
Chaoyang JinInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-9749-8962
Xiaoyu JiangInstitute of Imaging Science, Vanderbilt University Medical Center, Nashville, TN, USA.ORCID https://orcid.org/0000-0002-0369-6301
Dandan ZhengClinical & Technique Support, Philips Healthcare, Beijing, China.ORCID https://orcid.org/0000-0001-8526-0386
Jing PengClinical & Technique Support, Philips Healthcare, Beijing, China.ORCID https://orcid.org/0000-0002-8835-4545
Jun LuDepartment of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0003-0363-7288
Qiming LiuDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-7928-4557
Ning XuDepartment of Pathology, No. 984 Hospital of Chinese PLA Logistical Support Force, Beijing, China.ORCID https://orcid.org/0000-0002-7770-8731
Dan ZhaoDepartment of Gynecology Oncology, National Cancer Center, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-3231-267X
Hua LiDepartment of Gynecology and Obstetrics, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China. hual_gyn@163.com.ORCID https://orcid.org/0000-0002-1172-6750
Qi YangDepartment of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.ORCID https://orcid.org/0000-0002-5773-0456

Funding

Beijing Hospitals Authority's Ascent Plan DFL20220303Beijing Key Specialists in Major Epidemic Prevention and ControlBeijing Science and Technology Cross-disciplinary New Star ProjectCAMS Innovation Fund for Medical Sciences 2024-I2M-C&T-A-003National Natural Science Foundation of China 62176267National Natural Science Foundation of China 62476180Qinghai Provincial Science and Technology Plan Special Aid Project for Qinghai 2025-QY-220
6 · The paper itself

Abstract

objectivePreoperative differentiation of benign and malignant endometrial lesions, along with the identification of aggressive histological types of endometrial cancer (EC), is crucial for guiding treatment strategies. Time-dependent diffusion magnetic resonance imaging (TDD-MRI), which allows the characterization of tissue microstructure at the cellular level, is not currently applied for endometrial lesions. This study aimed to evaluate TDD-MRI-derived microstructural parameters for noninvasively distinguishing benign and malignant endometrial lesions and predicting aggressive histological types of EC. MATERIALS AND

methodsThis prospective study enrolled 177 patients with clinically suspected EC who underwent TDD-MRI between January 2024 and March 2025. The Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion method was used to extract microstructural parameters, including the cell diameter (d), intracellular volume fraction (

resultsA total of 130 women (mean ± standard deviation age: 56 ± 14 years) administered uterine curettage or surgery were included in the final analysis. All microstructural parameters showed significant differences between benign endometrial lesions and EC (

conclusionTDD-MRI-derived microstructural parameters demonstrated high performance in differentiating benign from malignant endometrial diseases and identifying aggressive types of EC.

Indexed as

Diffusion Magnetic Resonance ImagingEndometrial NeoplasmsAdultAgedDiagnosis, DifferentialEndometriumFemaleHumansMiddle AgedProspective StudiesEndometrial cancerHistological typesMagnetic resonance imagingMicrostructural parametersTime-dependent diffusion MRI

Identifiers

PMID41015861
PMCPMC12479230

What OpenQuestion holds

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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.