Evidence map›Paper›PMID 34136048›Full record

ArticlePolish journal of radiology2021

3D quantitative analysis of diffusion-weighted imaging for predicting the malignant potential of intraductal papillary mucinous neoplasms of the pancreas.

Takao Igarashi, Megumi Shiraishi, Ken Watanabe, Kazuyoshi Ohki, Shinsuke Takenaga, Hirokazu Ashida, Hiroya Ojiri

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Polish journal of radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

7 authors at 1 institution in 1 country.

Takao IgarashiDepartment of Radiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Megumi ShiraishiDepartment of Radiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Ken WatanabeDepartment of Radiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Kazuyoshi OhkiDepartment of Radiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Shinsuke TakenagaDepartment of Radiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Hirokazu AshidaDepartment of Radiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Hiroya OjiriDepartment of Radiology, The Jikei University School of Medicine, Minato-ku, Tokyo, Japan.
Jikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo investigate the predictors of intraductal papillary mucinous neoplasms of the pancreas (IPMNs) with high-grade dysplasia, using 2-dimensional (2D) analysis and 3-dimensional (3D) volume-of-interest-based apparent diffusion coefficient (ADC) histogram analysis. MATERIAL AND

methodsThe data of 45 patients with histopathologically confirmed IPMNs with high-grade or low-grade dysplasia were retrospectively assessed. The 2D analysis included lesion-to-spinal cord signal intensity ratio (LSR), minimum ADC value (ADC

resultsThere were 16 and 29 IPMNs with high- and low-grade dysplasia, respectively. The LSR, ADC

conclusionADC

Indexed as

diffusion magnetic resonance imagingmucinous carcinomapancreatic ductpancreatic intraductal neoplasms

Identifiers

PMID34136048
PMCPMC8186307
OpenAlexW3164373531

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.