Evidence map›Paper›PMID 37685323›Full record

ArticleDiagnostics (Basel, Switzerland)2023

Application of Ultrasound Scores (Subjective Assessment, Simple Rules Risk Assessment, ADNEX Model, O-RADS) to Adnexal Masses of Difficult Classification.

Mar Pelayo, Javier Sancho-Sauco, Javier Sánchez-Zurdo, Belén Perez-Mies, Leopoldo Abarca-Martínez, Mª Jesús Cancelo-Hidalgo, Jose Antonio Sainz-Bueno, Juan Luis Alcázar, Irene Pelayo-Delgado

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. 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

9 authors.

Mar PelayoUniversitary Hospital HM Puerta del Sur, HM Rivas, 3428521 Madrid, Spain.
Javier Sancho-SaucoDepartment of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain.
Javier Sánchez-ZurdoHéroux-Devtek, 3428906 Madrid, Spain.ORCID 0009-0008-3812-0848
Belén Perez-MiesDepartment of Pathology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain.ORCID 0000-0001-5764-5182
Leopoldo Abarca-MartínezDepartment of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain.
Mª Jesús Cancelo-HidalgoDepartment of Obstetrics and Gynecology, Universitary Hospital of Guadalajara, Alcalá de Henares University, 3428034 Madrid, Spain.
Jose Antonio Sainz-BuenoDepartment of Obstetrics and Gynecology, Valme Universitary Hospital, 3441014 Seville, Spain.ORCID 0000-0002-9571-3219
Juan Luis AlcázarDepartment of Obstetrics and Gynecology, Clínica Universidad de Navarra, 3431008 Pamplona, Spain.ORCID 0000-0002-9700-0853
Irene Pelayo-DelgadoDepartment of Obstetrics and Gynecology, Universitary Hospital Ramón y Cajal, Alcalá de Henares University, 3428034 Madrid, Spain.ORCID 0000-0002-3532-5265

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltrasound features help to differentiate benign from malignant masses, and some of them are included in the ultrasound (US) scores. The main aim of this work is to describe the ultrasound features of certain adnexal masses of difficult classification and to analyse them according to the most frequently used US scores.

methodsRetrospective studies of adnexal lesions are difficult to classify by US scores in women undergoing surgery. Ultrasound characteristics were analysed, and masses were classified according to the Subjective Assessment of the ultrasonographer (SA) and other US scores (IOTA Simple Rules Risk Assessment-SRRA, ADNEX model with and without CA125 and O-RADS).

resultsA total of 133 adnexal masses were studied (benign: 66.2%, n:88; malignant: 33.8%, n:45) in a sample of women with mean age 56.5 ± 7.8 years. Malignant lesions were identified by SA in all cases. Borderline ovarian tumors (n:13) were not always detected by some US scores (SRRA: 76.9%, ADNEX model without and with CA125: 76.9% and 84.6%) nor were serous carcinoma (n:19) (SRRA: 89.5%), clear cell carcinoma (n:9) (SRRA: 66.7%) or endometrioid carcinoma (n:4) (ADNEX model without CA125: 75.0%). While most teratomas and serous cystadenomas have been correctly differentiated, other benign lesions were misclassified because of the presence of solid areas or papillae. Fibromas (n:13) were better identified by SA (23.1% malignancy), but worse with the other US scores (SRRA: 69.2%, ADNEX model without and with CA125: 84.6% and 69.2%, O-RADS: 53.8%). Cystoadenofibromas (n:10) were difficult to distinguish from malignant masses via all scores except SRRA (SA: 70.0%, SRRA: 20.0%, ADNEX model without and with CA125: 60.0% and 50.0%, O-RADS: 90.0%). Mucinous cystadenomas (n:12) were misdiagnosed as malignant in more than 15% of the cases in all US scores (SA: 33.3%, SRRA: 16.7%, ADNEX model without and with CA125: 16.7% and 16.7%, O-RADS:41.7%). Brenner tumors are also difficult to classify using all scores.

conclusionSome malignant masses (borderline ovarian tumors, serous carcinoma, clear cell carcinoma, endometrioid carcinomas) are not always detected by US scores. Fibromas, cystoadenofibromas, some mucinous cystadenomas and Brenner tumors may present solid components/papillae that may induce confusion with malignant lesions. Most teratomas and serous cystadenomas are usually correctly classified.

Indexed as

adnexal massesADNEX modelborderline carcinomaBrenner tumourCA125clear cell carcinomacystadenofibromaendometriod carcinomafibromaIOTA Simple Rules Risk Assessmentmature cystic teratomamucinous cystadenomaO-RADSserous cystadenomaserous ovarian carcinomasubjective assessmenttransvaginal ultrasound

Identifiers

PMID37685323
PMCPMC10486436

What OpenQuestion holds

Textmetadata
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.