Evidence map›Paper›PMID 31969965›Full record

ArticlePolish journal of radiology2019

Whole-body diffusion-weighted imaging with background body signal suppression in the detection of osseous and extra-osseous metastases.

Ahmed Abdel Razek, Ahmed Tawfik, Mariam Abdel Rahman, Saleh Teima

Open access · diamondAbstract read
In one paragraph

Article in Polish journal of radiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.4field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Detecting recurrent prostate Cancer using multiparametric MRI, influence of PSA and Gleason grade.Cancer imaging : the official publication of the International Cancer Imaging Society · 2021
    Article
  6. Article
  7. 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

4 authors at 1 institution in 1 country.

Ahmed Abdel RazekDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Ahmed TawfikDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Mariam Abdel RahmanDepartment of Diagnostic Radiology, Mansoura Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Saleh TeimaDepartment of Radiotherapy, Mansoura Faculty of Medicine, Mansoura University, Mansoura, Egypt.
Mansoura University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo assess the reproducibility of detection of osseous and extra-osseous metastases in cancer patients using whole-body diffusion-weighted imaging with background body signal suppression (WB-DWIBS). MATERIAL AND

methodsA prospective study was conducted on 39 consecutive patients (21 females, 18 males; mean age 48 years) with metastases, who underwent WB-DWIBS on a 1.5-T MR scanner. Image analysis was performed independently by two blinded observers. Inter-observer agreement was assessed for the detection of osseous (spinal, appendicular) and extra-osseous (hepatic, pulmonary, nodal, and peritoneal) metastases.

resultsThe overall inter-observer agreement of WB-DWIBS in the detection of osseous and extra-osseous metastases was excellent (κ = 0.887, agreement = 94.44%,

conclusionWe concluded that WB-DWIBS is reproducible for detection of osseous and extra-osseous metastases in cancer patients.

Indexed as

diagnosisDWIBSmetastasesstagingwhole-body

Identifiers

PMID31969965
PMCPMC6964352
OpenAlexW2992564329

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.