Evidence map›Paper›PMID 40591119›Full record

ArticleJapanese journal of radiology2025

Multi-b-value diffusion-weighted imaging-derived parameters for differentiating high-grade serous ovarian carcinoma from other epithelial ovarian cancers.

Tsukasa Saida, Miki Yoshida, Taishi Amano, Masashi Shindo, Reo Nemoto, Takeo Iizuka, Ayumi Shikama, Toyomi Satoh, Takahito Nakajima

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In one paragraph

Article in Japanese journal of radiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

9 authors.

Tsukasa SaidaDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan. saida_sasaki_tsukasa@md.tsukuba.ac.jp.ORCID http://orcid.org/0000-0003-4530-7375
Miki YoshidaDepartment of Diagnostic and Interventional Radiology, University of Tsukuba Hospital, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Taishi AmanoDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Masashi ShindoDepartment of Radiology, University of Tsukuba Hospital, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Reo NemotoDepartment of Radiology, University of Tsukuba Hospital, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Takeo IizukaDepartment of Diagnostic and Interventional Radiology, University of Tsukuba Hospital, 2-1-1 Amakubo, Tsukuba, Ibaraki, 305-8576, Japan.
Ayumi ShikamaDepartment of Obstetrics and Gynecology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Toyomi SatohDepartment of Obstetrics and Gynecology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.
Takahito NakajimaDepartment of Radiology, Institute of Medicine, University of Tsukuba, 1-1-1 Tennodai, Tsukuba, Ibaraki, 305-8575, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveHigh-grade serous carcinoma (HGSC) is the most common ovarian cancer subtype, and its differentiation from others is crucial for treatment. This study aimed to evaluate parameters derived from multi-b-value diffusion-weighted imaging (DWI), including apparent diffusion coefficient (ADC), and metrics based on intravoxel incoherent motion (IVIM) and diffusion kurtosis imaging (DKI), for differentiating HGSC from other ovarian cancers.

methodsWe retrospectively analysed patients with primary epithelial ovarian cancer who underwent preoperative MRI including multi-b-value DWI. From the solid tissues of the tumours, diffusion parameters were derived from the multi-b-value DWI data using different models: ADC using a mono-exponential model; the true diffusion coefficient (Di), pseudo-diffusion coefficient (D*), and perfusion fraction (f) using the IVIM model; and kurtosis (K) using the DKI model.

resultsThis study included 56 patients with different histological cancer subtypes (mean age, 60 years; range, 24-87 years). The mean values of HGSC compared to the other cancers showed lower ADC (0.58 ± 0.21 × 10⁻

conclusionMulti-b-value DWI-derived parameters, particularly ADC, may aid in the non-invasive preoperative differentiation of HGSC from other ovarian cancers. Multi-b-value DWI-derived parameters, especially ADC, demonstrated utility in differentiating high-grade serous carcinoma (HGSC) from other ovarian cancers, highlighting their potential in non-invasive preoperative tumor characterization.

Indexed as

Cystadenocarcinoma, SerousDiffusion Magnetic Resonance ImagingNeoplasms, Glandular and EpithelialOvarian NeoplasmsAdultAgedAged, 80 and overCarcinoma, Ovarian EpithelialDiagnosis, DifferentialFemaleHumansMiddle AgedNeoplasm GradingOvaryRetrospective StudiesSensitivity and SpecificityDiffusion kurtosis imagingDKIIntravoxel incoherent motionIVIMMultiple bOvary

Identifiers

PMID40591119
PMCPMC12479561

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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.