SynthesisBMC cancer2019
Can apparent diffusion coefficient (ADC) distinguish breast cancer from benign breast findings? A meta-analysis based on 13 847 lesions.
Synthesis in BMC cancer, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04498611 (Prediction of Upgrade to Invasive Cancer in Patients Diagnosed With Ductal Carcinoma in Situ by Percutaneous Core Needle Biopsy), which is not on this map. Cited by 42 papers, 4 of them syntheses that pooled it.
What it found
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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.
Prediction of Upgrade to Invasive Cancer in Patients Diagnosed With Ductal Carcinoma in Situ by Percutaneous Core Needle Biopsy: A Development and Validation Study
Who cites it
42 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Diagnostic Test Accuracy of Apparent Diffusion Coefficient in Evaluation of Breast Cancer Lymph Node Metastasis: A Systematic Review and Meta-Analysis.Cancer reports (Hoboken, N.J.) · 2025Pooled it
- Apparent diffusion coefficient cannot discriminate metastatic and non-metastatic lymph nodes in rectal cancer: a meta-analysis.International journal of colorectal disease · 2021Pooled it
- Pretreatment apparent diffusion coefficient does not predict therapy response to neoadjuvant chemotherapy in breast cancer.Breast (Edinburgh, Scotland) · 2020Pooled it
- Apparent Diffusion Coefficient for Distinguishing Between Malignant and Benign Lesions in the Head and Neck Region: A Systematic Review and Meta-Analysis.Frontiers in oncology · 2019Pooled it
- Sodium accumulation in breast cancer predicts malignancy and treatment response.British journal of cancer · 2022Trial
- Additional diagnostic value of lesion visibility on diffusion-weighted imaging for differentiating BI-RADS category 4 MRI-detected breast lesions.Japanese journal of radiology · 2026Article
- Apparent diffusion coefficient and intravoxel incoherent motion-derived true diffusion serve as early non-contrast longitudinal biomarkers of neoadjuvant chemotherapy response.Scientific reports · 2026Article
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- Optimization of the Non-Local Means Algorithm for Breast Diffusion-Weighted Magnetic Resonance Imaging Using a 3D-Printed Breast-Mimicking Phantom.Life (Basel, Switzerland) · 2025Article
- Evaluating Simplified IVIM Diffusion Imaging for Breast Cancer Diagnosis and Pathological Correlation.Diagnostics (Basel, Switzerland) · 2025Article
- [MP-MRI in the evaluation of non-operative treatment response, for residual and recurrent tumor detection in head and neck cancer].Magyar onkologia · 2025Review
- Comparative analysis of apparent diffusion coefficient (ADC) metrics for the differential diagnosis of breast mass lesions.BMC medical imaging · 2025Article
- Discrimination Between Benign and Malignant Lesions With Restriction Spectrum Imaging MRI in an Enriched Breast Cancer Screening Cohort.Journal of magnetic resonance imaging : JMRI · 2025Article
- Assessment of the efficacy of various neoadjuvant anti-HER2 targeted therapies combined with chemotherapy for HER2-positive breast cancer in the real-world setting and development of a predictive model for pathological complete response.Frontiers in oncology · 2025Article
- A preoperative magnetic resonance imaging can aid in staging and treatment choice for upper tract urothelial carcinoma.BJUI compass · 2024Article
- Quantitative characterization of breast lesions and normal fibroglandular tissue using compartmentalized diffusion-weighted model: comparison of intravoxel incoherent motion and restriction spectrum imaging.Breast cancer research : BCR · 2024Article
- Update on DWI for Breast Cancer Diagnosis and Treatment Monitoring.AJR. American journal of roentgenology · 2024Review
- Two resected cases of benign adenomyoepithelioma.Surgical case reports · 2023Article
- Synthetic MRI in breast cancer: differentiating benign from malignant lesions and predicting immunohistochemical expression status.Scientific reports · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe purpose of the present meta-analysis was to provide evident data about use of Apparent Diffusion Coefficient (ADC) values for distinguishing malignant and benign breast lesions.
methodsMEDLINE library and SCOPUS database were screened for associations between ADC and malignancy/benignancy of breast lesions up to December 2018. Overall, 123 items were identified. The following data were extracted from the literature: authors, year of publication, study design, number of patients/lesions, lesion type, mean value and standard deviation of ADC, measure method, b values, and Tesla strength. The methodological quality of the 123 studies was checked according to the QUADAS-2 instrument. The meta-analysis was undertaken by using RevMan 5.3 software. DerSimonian and Laird random-effects models with inverse-variance weights were used without any further correction to account for the heterogeneity between the studies. Mean ADC values including 95% confidence intervals were calculated separately for benign and malign lesions.
resultsThe acquired 123 studies comprised 13,847 breast lesions. Malignant lesions were diagnosed in 10,622 cases (76.7%) and benign lesions in 3225 cases (23.3%). The mean ADC value of the malignant lesions was 1.03 × 10
conclusionAn ADC threshold of 1.00 × 10
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