Evidence map›Paper›PMID 37609045›Full record

ArticleEuropean journal of radiology open2023

The diagnostic accuracy of mammography and ultrasonography for recurrent breast cancer after breast conserving treatment.

Piyakan Pathanasethpong, Supajit Nawapun, Payia Chadbunchachai, Ongart Somintara, Chaiwat Apivatanasiri, Arunnit Boonrod

Open access · goldAbstract read
In one paragraph

Article in European journal of radiology open, 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
0.7field-weighted citation impact, top 24% 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, 3 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

6 authors at 1 institution in 1 country.

Piyakan PathanasethpongDepartment of Radiology, Faculty of Medicine, Khon Kaen University, 40002, Thailand.
Supajit NawapunDepartment of Radiology, Faculty of Medicine, Khon Kaen University, 40002, Thailand.
Payia ChadbunchachaiDepartment of Radiology, Faculty of Medicine, Khon Kaen University, 40002, Thailand.
Ongart SomintaraDepartment of Surgery, Faculty of Medicine, Khon Kaen University, 40002, Thailand.
Chaiwat ApivatanasiriDepartment of Pathology, Faculty of Medicine, Khon Kaen University, 40002, Thailand.
Arunnit BoonrodDepartment of Radiology, Faculty of Medicine, Khon Kaen University, 40002, Thailand.
Khon Kaen University · TH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate the performance of mammography and breast ultrasonography to diagnose tumor recurrence in patients after breast conserving therapy. Material and Methods: Imaging findings of 130 breast cancer patients treated by breast conserving therapy (BCT) who have followed up with mammography and ultrasonography at our center between 1 Results: The presence of mass in mammography (P-value=0.025) and internal vascularity in mass in ultrasonography (P-value<0.001) were associated with recurrent tumor at the surgical bed. All the recurrent tumors were interpreted as BI-RADS 4 (71 patients) with sensitivity= 100%, specificity= 89.5%. BIRADS4 is significant in the diagnosis of recurrent breast cancer in BCT patients (AUC of the ROC curve = 0.742 and 95% CI=(0.7-0.79)). Conclusion: The presence of mass in mammography and internal vascularity in the mass in ultrasonography are the imaging findings which were significantly related to recurrent tumor at surgical bed in patient with breast conserving treatment.

Indexed as

Breast conserving treatmentBreast ultrasoundMammographyRecurrent breast cancer

Identifiers

PMID37609045
PMCPMC10440391
OpenAlexW4385757335

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.