Evidence map›Paper›PMID 37655105›Full record

ArticleFrontiers in oncology2023

Analysis of correlation of pre-therapeutic assessment and the final diagnosis in endometrial cancer: role of tumor volume in the magnetic resonance imaging.

Elga López-González, Rocío García-Jiménez, Alberto Rodríguez-Jiménez, José Antonio Rojas-Luna, Cinta Daza-Manzano, Juan Gómez-Salgado, Rosa María Álvarez

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 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 82% 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

7 authors at 3 institutions in 2 countries.

Elga López-GonzálezGynaecological Oncology Unit, Department of Obstetrics and Gynaecology, Hospital Universitario Juan Ramón Jiménez, Huelva, Spain.
Rocío García-JiménezGynaecological Oncology Unit, Department of Obstetrics and Gynaecology, Hospital Universitario Juan Ramón Jiménez, Huelva, Spain.
Alberto Rodríguez-JiménezDepartment of Radiology, Hospital Universitario Juan Ramón Jiménez, Huelva, Spain.
José Antonio Rojas-LunaGynaecological Oncology Unit, Department of Obstetrics and Gynaecology, Hospital Universitario Juan Ramón Jiménez, Huelva, Spain.
Cinta Daza-ManzanoGynaecological Oncology Unit, Department of Obstetrics and Gynaecology, Hospital Universitario Juan Ramón Jiménez, Huelva, Spain.
Juan Gómez-SalgadoDepartment of Sociology, Social Work and Public Health, Faculty of Labor Sciences, University of Huelva, Huelva, Spain.
Rosa María ÁlvarezGynecological Oncology and Breast Cancer Unit, Department of Obstetrics and Gynecology, Hospital Universitario Santa Cristina, Madrid, Spain.
Hospital Juan Ramón Jiménez · ESHospital Universitario Santa Cristina · ESUniversidad de Huelva · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate whether the introduction of tumor volume as new parameter in the MRI assessment could improve both concordance between preoperative and postoperative staging, and the identification of histological findings. Methods: A retrospective observational study with 127 patients with endometrial cancer (EC) identified between 2016 and 2021 at the Juan Ramon Jimenez University Hospital, Huelva (Spain) was carried out. Tumor volume was measured in three ways. Analyses of Receiver Operating Characteristic (ROC) curve and the area under the curve (AUC) were performed. Results: Although preoperative MRI had an 89.6% and 66.7% sensitivity for the detection of deep mucosal invasion and cervical stroma infiltration, preoperative assessment had an intraclass correlation coefficient of 0.517, underestimating tumor final stage in 12.6% of cases, with a poor agreement between preoperative MRI and postoperative staging (κ=0.082) and low sensitivity (14.3%) for serosa infiltration. The cut-off values for all three volume parameters had good/excellent AUC (0.73-0.85), with high sensitivity (70-83%) and specificity (64-84%) values for all histopathological variables. Excellent/good agreement was found all volume parameters for the identification of deep myometrial invasion (0.71), cervical stroma infiltration (0.80), serosa infiltration (0.81), and lymph node metastases (0.81). Conclusion: Tumor volume measurements have good predictive capacity to detect histopathological findings that affect final tumor staging and might play a crucial role in the preoperative assessment of patients with endometrial cancer in the future.

Indexed as

biopsyendometrial cancermagnetic resonance imagingpreoperative stagingtumor volume

Identifiers

PMID37655105
PMCPMC10467420
OpenAlexW4385994353

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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.