Evidence map›Paper›PMID 37168724›Full record

ArticleBioMedicine2023

Can multidetector CT replace MRI for evaluating mesorectal fascia in rectal cancer?

Maryam Farghdani, Mehdi Karami, Amirafraz Fallah Najmabadi

Open access · diamondAbstract read
In one paragraph

Article in BioMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 2 institutions in 1 country.

Maryam FarghdaniIsfahan University of Medical Sciences, Iran.
Mehdi KaramiIsfahan University of Medical Sciences, Iran.
Amirafraz Fallah NajmabadiIsfahan Uni, Iran.
Isfahan University of Medical Sciences · IRUniversity of Isfahan · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Colorectal cancer is the fourth leading cause of cancer mortality. This study aims to compare the clinical outcomes of multidetector computed tomography (MDCT) with magnetic resonance imaging (MRI) for assessing mesorectal fascia (MRF) in patients with rectal cancer. Methods: This research was a cross-sectional study of 60 patients with rectal cancer referred to two centers in Isfahan, Al-Zahra, and Seyed-al-Shohada hospitals. Considered parameters included sex, tumoral location, nodal involvement, as well as tumoral description. To assess the invasion of MRF in rectal cancer, researchers used MRI, axial MDCT, and multiplanar reconstruction CT scan (MPRCT). Sensitivity, specificity, and techniques' positive and negative predictive values were measured. Also, to assess the statistical associations, the Kappa coefficient was used. Results: There was no significant association between axial MDCT and MRI reports regarding MRF involvement (P>0.05). However, a statistical association was determined between the reports of multiplanar reconstruction CT (MPRCT) and MRI (P< 0.01, kappa=0.44). In addition, the association between MPRCT and MRI reports was statistically significant in patients with wall thickening and negative nodal involvement (Kappa = 0.699, P = 0.001). On the other hand, there was more agreement between MPRCT and MRI reports in patients with tumors in the middle or upper rectum. Conclusion: The association between MRI and MPRCT reports regarding MRF involvement was statistically significant in patients with wall thickening and negative nodal involvement in the upper and middle rectum. Consequently, it is possible to replace MRI with the MPRCT method for assessing MRF in some patients.

Indexed as

FasciaMagnetic resonance imagingMultidetector computed tomographyRectal neoplasms

Identifiers

PMID37168724
PMCPMC10166253
OpenAlexW4321607881

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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.