Evidence map›Paper›PMID 42036342›Full record

ArticleMagnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine2026

Reverse Encoding Distortion Correction of Female Pelvic Diffusion-weighted Imaging on a 1.5-T MR System: Influence on Image Quality and Apparent Diffusion Coefficient Measurements for Both In Vitro and In Vivo Studies.

Takahiro Ueda, Kaori Yamamoto, Natsuka Yazawa, Yuichiro Sano, Masato Ikedo, Masanori Ozaki, Takahiro Matsuyama, Masahiko Nomura, Yoshiyuki Ozawa, Daisuke Takenaka and 2 more

Abstract read
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Article in Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Takahiro UedaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0003-2577-3619
Kaori YamamotoCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0000-0003-0884-3419
Natsuka YazawaCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0009-0007-6431-8797
Yuichiro SanoCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0000-0003-1920-5519
Masato IkedoCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0000-0002-2701-1899
Masanori OzakiCanon Medical Systems Corporation, Otawara, Tochigi, Japan.ORCID http://orcid.org/0009-0003-6121-4176
Takahiro MatsuyamaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Masahiko NomuraJoint Research Laboratory of Advanced Medical Imaging and Artificial intelligence, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0003-1931-8740
Yoshiyuki OzawaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0002-8252-1947
Daisuke TakenakaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0002-9432-7180
Takeshi YoshikawaDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0001-5560-5371
Yoshiharu OhnoDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.ORCID http://orcid.org/0000-0002-4431-1084

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate whether reverse encoding distortion correction (RDC) improves image quality and maintains apparent diffusion coefficient (ADC) measurements in diffusion-weighted imaging (DWI) on female pelvic MRI using a 1.5-T in in vitro and in vivo studies.

methodsThis retrospective, institutional review board-approved study included both in vitro and in vivo analyses of 31 women (mean age, 41 ± 15 years; range, 24-80 years) who underwent pelvic MRI between January and March 2022. T2-weighted image (T2WI) and DWI with and without RDC were acquired, and ADC maps were generated. Quantitative metrics included SNR, contrast-to-noise ratio (CNR), ADC values, and deformation ratio (DR), defined as the proportional area discrepancy between DWI and T2WI for the uterine corpus, cervix, ovary, and lesions. Qualitative assessments-overall image quality (OIQ), deformation severity (DS), and diagnostic confidence level (DCL)-were independently scored by 2 blinded radiologists using 5-point scales.

resultsIn vitro SNR and ADC values showed no significant differences between DWI with and without RDC, with strong correlations to reference measurements (ρ = 0.99, P < 0.001). In vivo, SNR, CNR, and ADC values of the myometrium, cervix, and ovary did not differ significantly between 2 methods (P > 0.05). DRs were significantly lower in DWI with RDC than in DWI without RDC (P ≤ 0.0003). ADC values showed strong correlations between DWI with and without RDC on uterine corpus, cervix, ovary and lesions (ρ = 0.82-0.90, P < 0.001). Qualitative scores improved with RDC: higher OIQ (P = 0.0004), lower DS (P = 0.0004), and higher DCL (P = 0.03). Interobserver agreement ranged from substantial to almost perfect (κ = 0.78-0.97).

conclusionRDC improves image quality and reduces image distortion in DWI on female pelvic MRI at a 1.5-T, while maintaining ADC measurements in in vitro and in vivo settings.

Indexed as

Diffusion Magnetic Resonance ImagingImage Processing, Computer-AssistedPelvisAdultAgedAged, 80 and overFemaleHumansMiddle AgedRetrospective StudiesSignal-To-Noise RatioYoung Adultdiffusion-weighted imagingfemale pelvisimage distortion correctionmagnetic resonance imaging

Identifiers

PMID42036342
PMCPMC13500117

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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.