ArticleQuantitative imaging in medicine and surgery2025
The value of percutaneous contrast-enhanced ultrasound in the detection and diagnosis of sentinel lymph nodes in breast cancer: comparison with pathological features.
Article in Quantitative imaging in medicine and surgery, 2025. 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The diagnostic performance of percutaneous contrast-enhanced ultrasound (P-CEUS) in classifying sentinel lymph nodes (SLNs) in breast cancer varies. This study aimed to evaluate the diagnostic value of P-CEUS in identifying SLNs and to explore the correlation between P-CEUS patterns and pathological characteristics of SLNs. Methods: This retrospective study included consecutive breast cancer patients who underwent preoperative or axillary surgery between June 2019 and March 2021. Each patient underwent conventional ultrasound of the ipsilateral breast and axilla, and SLNs were localized and diagnosed via P-CEUS. Histopathological examination served as the gold standard to assess the diagnostic accuracy of P-CEUS classification based on lymph node structure. The relationship between P-CEUS patterns and pathological characteristics of SLNs was also examined. Results: A total of 238 breast cancer patients (including 1 male) with a mean age of 51.0±11.3 years were included. Five patients with bilateral breast cancer underwent P-CEUS on both sides. The SLN detection rate by P-CEUS was 96.29% (234/243). Pathology results indicated that 64 SLNs (21.8%) were metastatic and 229 SLNs (78.2%) were non-metastatic. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy of P-CEUS in detecting SLNs were 76.56% (49/64), 97.38% (223/229), 89.09% (49/55), 93.70% (223/238), and 92.83% (272/293), respectively. SLNs with different P-CEUS patterns exhibited varying pathological characteristics. Pathology sections of non-metastatic lymph nodes revealed varying degrees of adipose tissue and fibrous tissue hyperplasia. The different enhancement patterns of metastatic lymph nodes were closely associated with the distribution of metastatic lesions within the lymph nodes. Conclusions: The P-CEUS pattern of SLNs was closely correlated with their pathological characteristics. The P-CEUS classification of SLNs based on lymph node structure could aid in the diagnosis of SLNs in breast cancer.
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.