Evidence map›Paper›PMID 38448783›Full record

ArticleEuropean radiology experimental2024

Thin-slice reverse encoding distortion correction DWI facilitates visualization of non-functioning pituitary neuroendocrine tumor (PitNET)/pituitary adenoma and surrounding normal structures.

Shuichi Ito, Sachi Okuchi, Yasutaka Fushimi, Sayo Otani, Krishna Pandu Wicaksono, Akihiko Sakata, Kanae Kawai Miyake, Hitomi Numamoto, Satoshi Nakajima, Hiroshi Tagawa and 8 more

Open access · goldAbstract read
In one paragraph

Article in European radiology experimental, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

6 citing papers in PubMed, 7 citations in OpenAlex.

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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

18 authors at 2 institutions in 1 country.

Shuichi ItoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Sachi OkuchiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan. sokuchi@kuhp.kyoto-u.ac.jp.ORCID http://orcid.org/0000-0002-0831-195X
Yasutaka FushimiDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Sayo OtaniDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Krishna Pandu WicaksonoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Akihiko SakataDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Kanae Kawai MiyakeDepartment of Advanced Imaging in Medical Magnetic Resonance, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Hitomi NumamotoDepartment of Advanced Imaging in Medical Magnetic Resonance, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Satoshi NakajimaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Hiroshi TagawaDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Masahiro TanjiDepartment of Neurosurgery, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Noritaka SanoDepartment of Neurosurgery, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Hiroki KondoMRI Systems Division, Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara, 324-8550, Japan.
Rimika ImaiMRI Systems Division, Canon Medical Systems Corporation, 1385 Shimoishigami, Otawara, 324-8550, Japan.
Tsuneo SagaDepartment of Advanced Imaging in Medical Magnetic Resonance, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Koji FujimotoDepartment of Advanced Imaging in Medical Magnetic Resonance, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Yoshiki ArakawaDepartment of Neurosurgery, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Yuji NakamotoDepartment of Diagnostic Imaging and Nuclear Medicine, Graduate School of Medicine, Kyoto University, 54 Shogoin Kawaharacho, Sakyoku, Kyoto, 606-8507, Japan.
Kyoto University · JPCanon (Japan) · JP

Funding

Japan Society for the Promotion of Science 21K15826Japan Society for the Promotion of Science 21K20834Japan Society for the Promotion of Science 22K07746Kyoto University ISHIZUE 2023
6 · The paper itself

Abstract

backgroundTo evaluate the clinical usefulness of thin-slice echo-planar imaging (EPI)-based diffusion-weighted imaging (DWI) with an on-console distortion correction technique, termed reverse encoding distortion correction DWI (RDC-DWI), in patients with non-functioning pituitary neuroendocrine tumor (PitNET)/pituitary adenoma.

methodsPatients with non-functioning PitNET/pituitary adenoma who underwent 3-T RDC-DWI between December 2021 and September 2022 were retrospectively enrolled. Image quality was compared among RDC-DWI, DWI with correction for distortion induced by B

resultsSixty-four patients (age 70.8 ± 9.9 years [mean ± standard deviation]; 33 females) with non-functioning PitNET/pituitary adenoma were evaluated. In terms of susceptibility artifacts in the frontal and temporal lobes, visualization of left trigeminal nerve, overall tumor visualization, and anterior displacement, RDC-DWI performed the best and B

conclusionsRDC-DWI achieved excellent image quality regarding susceptibility artifact, geometric distortion, and tumor visualization in patients with non-functioning PitNET/pituitary adenoma. RELEVANCE STATEMENT: RDC-DWI facilitates excellent visualization of the pituitary region and surrounding normal structures, and its on-console distortion correction technique is convenient. RDC-DWI can clearly depict cavernous sinus invasion of PitNET/pituitary adenoma even without contrast medium. KEY POINTS: • RDC-DWI is an EPI-based DWI technique with a novel on-console distortion correction technique. • RDC-DWI corrects distortion due to B

Indexed as

Neuroendocrine TumorsPituitary NeoplasmsAgedAged, 80 and overArtifactsDiffusion Magnetic Resonance ImagingFemaleHumansMiddle AgedRetrospective StudiesArtifactsDiffusion magnetic resonance imagingEcho-planar imagingNeuroendocrine tumorsPituitary neoplasms

Identifiers

PMID38448783
PMCPMC10917724
OpenAlexW4392756863

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.