ArticleBMC medical imaging2026
Association between first-trimester chorionic bump and early pregnancy loss: a two-center retrospective study with exploratory radiomics analysis.
Article in BMC medical imaging, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
introductionThe chorionic bump (CB) is a rare sonographic finding defined as an irregular protrusion from the choriodecidual surface into the gestational sac. Its prognostic significance regarding pregnancy loss remains controversial. This study aimed to evaluate the association between first-trimester CB and pregnancy outcomes and to investigate whether ultrasonographic radiomic features can support early risk stratification.
methodsThis two-center retrospective study included 184 women diagnosed with a CB and 1052 matched controls between January 2020 and December 2024. All participants underwent transvaginal ultrasound at 5-10 weeks of gestation. Radiomic features were extracted from regions of interest using PyRadiomics. Furthermore, logistic regression, support vector machine (SVM), and random forest (RF)-alongside SHAP analysis, were employed to analyze the ultrasonographic radiomic features.
resultsSonographically, CB exhibited variable echogenicity and an absence of internal blood flow on color Doppler flow imaging. While no significant differences were found in other secondary pregnancy outcomes, CB was strongly associated with early pregnancy loss. Following feature selection, the optimized RF_Sel model achieved an AUROC of 0.573, accuracy of 0.538, and a precision of 0.539. SHAP analysis identified "original_firstorder_Minimum" (first-order minimum intensity) as the feature with the highest decision-making value. Furthermore, lower grayscale minimum intensity on ultrasound, smaller gestational sac (GS) volume, and a higher CB-to-GS volume ratio were identified as significant risk factors for pregnancy loss within the CB population.
conclusionsA first-trimester CB is a significant high-risk factor for early pregnancy loss. However, the radiomics-based model demonstrated limited predictive performance, indicating that radiomic features alone are currently insufficient for clinical risk stratification and should be considered hypothesis-generating. The early sonographic identification of a CB remains vital for assessing clinical risk and guiding obstetric management.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.