ArticleLa Radiologia medica2018
Focal breast lesion characterization according to the BI-RADS US lexicon: role of a computer-aided decision-making support.
Article in La Radiologia medica, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled 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.
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
19 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Association of Clinician Diagnostic Performance With Machine Learning-Based Decision Support Systems: A Systematic Review.JAMA network open · 2021Pooled it
- Ultrasound-based artificial intelligence for breast lesion classification.Frontiers in oncology · 2026Review
- Artificial intelligence-based, semi-automated segmentation for the extraction of ultrasound-derived radiomics features in breast cancer: a prospective multicenter study.La Radiologia medica · 2024Article
- Artificial intelligence in breast ultrasound: application in clinical practice.Ultrasonography (Seoul, Korea) · 2024Article
- Recent Advances in Ultrasound Breast Imaging: From Industry to Clinical Practice.Diagnostics (Basel, Switzerland) · 2023Review
- The utilization of artificial intelligence applications to improve breast cancer detection and prognosis.Saudi medical journal · 2023Review
- Differing benefits of artificial intelligence-based computer-aided diagnosis for breast US according to workflow and experience level.Ultrasonography (Seoul, Korea) · 2022Article
- A narrative review on current imaging applications of artificial intelligence and radiomics in oncology: focus on the three most common cancers.La Radiologia medica · 2022Review
- An AI model of sonographer's evaluation+ S-Detect + elastography + clinical information improves the preoperative identification of benign and malignant breast masses.Frontiers in oncology · 2022Article
- A Review of the Role of the S-Detect Computer-Aided Diagnostic Ultrasound System in the Evaluation of Benign and Malignant Breast and Thyroid Masses.Medical science monitor : international medical journal of experimental and clinical research · 2021Review
- S-Detect characterization of focal solid breast lesions: a prospective analysis of inter-reader agreement for US BI-RADS descriptors.Journal of ultrasound · 2021Article
- Deep learning-based computer-aided diagnosis in screening breast ultrasound to reduce false-positive diagnoses.Scientific reports · 2021Article
- Narrative review of multiparametric ultrasound in parotid gland evaluation.Gland surgery · 2020Review
- Apparent diffusion coefficient magnetic resonance imaging (ADC-MRI) in the axillary breast cancer lymph node metastasis detection: a narrative review.Gland surgery · 2020Review
- Observational
- S-Detect characterization of focal breast lesions according to the US BI RADS lexicon: a pictorial essay.Journal of ultrasound · 2020Review
- Preoperative loco-regional staging of invasive lobular carcinoma with contrast-enhanced digital mammography (CEDM).La Radiologia medica · 2019Article
- Article
- Differential diagnosis value of the ultrasound gray scale ratio for papillary thyroid microcarcinomas and micronodular goiters.Quantitative imaging in medicine and surgery · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
29569216What 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.