Evidence map›Paper›PMID 32162178›Full record

ArticleJapanese journal of radiology2020

Quantitative pharmacokinetic analysis of high-temporal-resolution dynamic contrast-enhanced MRI to differentiate the normal-appearing pituitary gland from pituitary macroadenoma.

Kiyohisa Kamimura, Masanori Nakajo, Tomohide Yoneyama, Manisha Bohara, Ryota Nakanosono, Shingo Fujio, Takashi Iwanaga, Marcel Dominik Nickel, Hiroshi Imai, Yoshihiko Fukukura and 1 more

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Japanese journal of radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Trial
  2. Review
  3. Review
  4. Added Value of Contrast-enhanced 3D-FLAIR MR Imaging for Differentiating Cystic Pituitary Adenoma from Rathke's Cleft Cyst.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2021
    Article
  5. 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

11 authors at 4 institutions in 2 countries.

Kiyohisa KamimuraDepartment of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan. kiyohisa@m2.kufm.kagoshima-u.ac.jp.
Masanori NakajoDepartment of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Tomohide YoneyamaDepartment of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Manisha BoharaDepartment of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Ryota NakanosonoDepartment of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Shingo FujioDepartment of Neurosurgery, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Takashi IwanagaClinical Engineering Department Radiation Section, Kagoshima University Hospital, Kagoshima, Japan.
Marcel Dominik NickelSiemens Healthcare, Erlangen, Germany.
Hiroshi ImaiSiemens Healthcare K.K., Tokyo, Japan.
Yoshihiko FukukuraDepartment of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Takashi YoshiuraDepartment of Radiology, Kagoshima University Graduate School of Medical and Dental Sciences, 8-35-1 Sakuragaoka, Kagoshima, 890-8544, Japan.
Kagoshima University · JPKagoshima University Hospital · JPSiemens Healthcare (Germany) · DETokyo Health Care University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo evaluate the usefulness of high-temporal-resolution dynamic contrast-enhanced (DCE) MRI and quantitative pharmacokinetic analysis to differentiate the normal-appearing pituitary gland from a pituitary macroadenoma. MATERIALS AND

methodsTwenty-seven patients with macroadenomas underwent preoperative DCE-MRI with a temporal resolution of 5 s using compressed sensing to obtain pharmacokinetic parameters. Two independent observers localized the normal-appearing pituitary gland on post-contrast T1-weighted images before and after referring to the corresponding K

resultsFor both observers, the agreement between the MRI-based localization and the intraoperative findings increased after referring to the K

conclusionHigh-temporal-resolution DCE-MRI and quantitative pharmacokinetic analysis help accurately localize the normal-appearing pituitary gland in patients with macroadenomas. The normal-appearing pituitary gland was characterized by higher K

Indexed as

AdenomaAdultAgedAged, 80 and overContrast MediaDiagnosis, DifferentialEvaluation Studies as TopicFemaleHumansImage EnhancementMagnetic Resonance ImagingMaleMiddle AgedPituitary GlandPituitary NeoplasmsReproducibility of ResultsContrast MediaDynamic contrast-enhanced magnetic resonance imagingPharmacokinetic analysisPituitary adenomaPituitary gland

Identifiers

PMID32162178
OpenAlexW3012172014

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.