Evidence map›Paper›PMID 36475147›Full record

ArticleCureus2022

The Accuracy of MRI in the Local Staging of Endometrial Cancer: An Experience From a Tertiary Care Oncology Institute in Pakistan.

Palwasha Gul, Khanda Gul, Muhammad Omer Altaf, Ainy Javaid, Javeria Ashraf

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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
0.4field-weighted citation impact, top 36% 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, 2 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

5 authors at 2 institutions in 1 country.

Palwasha GulDepartment of Radiology, Bolan Medical Complex Hospital, Quetta, PAK.
Khanda GulDepartment of Obstetrics and Gynaecology, Bolan Medical Complex Hospital, Quetta, PAK.
Muhammad Omer AltafDepartment of Radiology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Ainy JavaidDepartment of Radiology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Javeria AshrafDepartment of Radiology, Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, PAK.
Bolan Medical College · PKShaukat Khanum Memorial Cancer Hospital and Research Center · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective Our objective is to assess the diagnostic accuracy of contrast-enhanced magnetic resonance imaging (MRI) in identifying the depth of myometrial invasion and cervical stromal involvement in endometrial carcinoma (EC) along with nodal status and its correlation with surgical and histopathological (HP) findings. Materials and methods We performed a retrospective study on female patients at Shaukat Khanum Memorial Cancer Hospital and Research Centre, Lahore, Pakistan. Patients with endometrial carcinoma (CA) were searched from the electronic record system, and a total of 188 patients fulfilling the study criteria were selected. All the patients were evaluated using a 1.5T MRI and underwent a hysterectomy. The outcome of preoperative MRI was correlated with histopathology results, keeping pathology as the gold standard. Results A total of 188 patients were included in the study, with a mean age of 56.67 ± 12.47 years. Of the patients, 72 (38.3%) were diagnosed with stage 1a. The second common stage was 1b, seen in 43 (22.9%) patients. It was found that the staging of endometrial CA on MRI and HP were significantly correlated for myometrial invasion (stage 1a and 1b), cervical stromal involvement (stage 2b), serosal and adnexal (stage 3a), vaginal (stage 3b), and nodal (stage 3c) involvement as shown by their p-values of <0.01. However, in cases of parametrial invasion (stage 3b), bladder involvement, and rectal involvement (stage 4), MRI showed decreased sensitivity as shown by their p-values of 0.833, 0.87, and 0.9, respectively. Conclusion Preoperative MRI can predict local disease and low-risk patients accurately, thereby helping in proper surgical planning and avoiding more extensive surgery such as lymphadenectomy in these patients.

Indexed as

accuracyendometrial cancerhistopathologyinvasionmagnetic resonance imaging

Identifiers

PMID36475147
PMCPMC9720051
OpenAlexW4308506338

What OpenQuestion holds

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LicenceCC BY
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.