Evidence map›Paper›PMID 32551422›Full record

ArticleTurkish journal of surgery2019

Value of tomography in detecting breast masses and discriminating malign and benign lesions.

Hatice Ayça Ata Korkmaz, Miraç İsmet Çakır, Eser Bulut, Sibel Kul

Open access · diamondAbstract read
In one paragraph

Article in Turkish journal of surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact, top 94% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Contrast-Enhanced Chest Computed Tomography forDiagnostics (Basel, Switzerland) · 2025
    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

4 authors at 2 institutions in 2 countries.

Hatice Ayça Ata KorkmazSağlık Bilimleri Üniversitesi, Kanuni Eğitim ve Araştırma Hastanesi, Radyoloji Kliniği, Trabzon, Türkiye.
Miraç İsmet ÇakırSağlık Bilimleri Üniversitesi, Kanuni Eğitim ve Araştırma Hastanesi, Radyoloji Kliniği, Trabzon, Türkiye.
Eser BulutSağlık Bilimleri Üniversitesi, Kanuni Eğitim ve Araştırma Hastanesi, Radyoloji Kliniği, Trabzon, Türkiye.
Sibel KulKaradeniz Teknik Üniversitesi Tıp Fakültesi, Radyoloji Anabilim Dalı, Trabzon, Türkiye.
Ministry of Health · TRKaradeniz Technical University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe main purpose of the present study was to determine the effectivity of computerized tomography (CT) in detecting breast masses and discriminating masses as malignant or benign. MATERIAL AND

methodsAfter having received the institutional local ethics committee approval, an experienced radiologist who did not participate in the study created a patient pool by searching our health center's Pathology department database between 2010 and 2018. The group created consisted of dense and non-dense breast types equally and included approximately similar percentages of benign and malignant breast mass sizes. Finally, 70 subjects were included: 30 females with definite malign, 20 with definite benign breast masses, and 20 without any breast pathology based on mammography and ultrasonography results, who were considered as the control group. Three experienced Radiologists (R1, R2, R3) who were not aware of the final diagnosis evaluated all images independently. Radiologist performance was assessed by calculating the area under the receiver operating characteristic curve (AUC) and interobserver reliability values were estimated by intraclass correlation coefficient (ICC) analysis.

resultsThe diagnostic accuracy suitability of CT according to BI-RADS scores for R1, R2 and R3 were found as p <0.001, p <0.001 and p <0.001, respectively. There were significant interobserver reliability rates between all investigators (p= 0.0001).

conclusionCT may be used as a valuable diagnostic tool in discriminating breast masses with further training in widely varying appearances of normal breast tissues leading to false positive findings.

Indexed as

breast cancerbreast tomographyComputerized tomographythorax

Identifiers

PMID32551422
PMCPMC7282456
OpenAlexW2945390945

What OpenQuestion holds

Textmetadata
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.