ArticleEuropean radiology2020
Usefulness of imaging findings in predicting tumor-infiltrating lymphocytes in patients with breast cancer.
Article in European radiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
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Who cites it
24 citing papers in PubMed, 40 citations in OpenAlex.
- Evaluating the predictive value of dynamic contrast-enhanced MRI and six diffusion models for prognostic factors in mass-type invasive ductal carcinoma of the breast.BMC medical imaging · 2026Article
- Role of Preoperative Breast MRI in Predicting Tumor-Infiltrating Lymphocytes in Breast Cancer: Is There an Association with Tumor Biological Subtypes?Biomedicines · 2025Article
- Distinguishing Low Expression Levels of Human Epidermal Growth Factor Receptor 2 in Breast Cancer: Insights from Qualitative and Quantitative Magnetic Resonance Imaging Analysis.Tomography (Ann Arbor, Mich.) · 2025Article
- Relationship between kinetic parameters of ultrafast dynamic contrast-enhanced (DCE) MRI and tumor-infiltrating lymphocytes (TILs) in breast cancer.Japanese journal of radiology · 2025Article
- MRI-based radiomics nomogram for predicting CD8-positive tumor-infiltrating lymphocytes levels in HER2-positive breast cancer.Frontiers in oncology · 2025Article
- Development and validation of a gradient boosting machine-based model for predicting tumor-infiltrating lymphocyte proportions in breast cancer.American journal of translational research · 2025Article
- Role of Ultrasonographic and Clinicopathological Characteristics in Assessing Stromal Tumor-Infiltrating Lymphocyte Density in Triple-Negative Breast CancerBalkan medical journal · 2024Article
- Data Science Opportunities To Improve Radiotherapy Planning and Clinical Decision Making.Seminars in radiation oncology · 2024Review
- Association of clinicopathologic and sonographic features with stromal tumor-infiltrating lymphocytes in triple-negative breast cancer.BMC cancer · 2024Article
- Radiological Features for Predicting the Status of CD8-Positive Lymphocytes in HER2 Positive Breast Cancer.Balkan medical journal · 2024Article
- Prediction value study of breast cancer tumor infiltrating lymphocyte levels based on ultrasound imaging radiomics.Frontiers in oncology · 2024Article
- Exploring the added value of pretherapeutic MR descriptors in predicting breast cancer pathologic complete response to neoadjuvant chemotherapy.European radiology · 2023Observational
- Tumor infiltrating lymphocytes and radiological picture of the tumor.Medical oncology (Northwood, London, England) · 2023Review
- Article
- The diagnosis, classification, and treatment of sarcoma in this era of artificial intelligence and immunotherapy.Cancer communications (London, England) · 2022Review
- The tumor-infiltrating lymphocyte ultrasonography score can provide a diagnostic prediction of lymphocyte-predominant breast cancer preoperatively.Journal of medical ultrasonics (2001) · 2022Article
- Performance of radiomics models for tumour-infiltrating lymphocyte (TIL) prediction in breast cancer: the role of the dynamic contrast-enhanced (DCE) MRI phase.European radiology · 2022Article
- Stromal tumor-infiltrating lymphocytes level as a prognostic factor for resected intrahepatic cholangiocarcinoma and its prediction by apparent diffusion coefficient.International journal of clinical oncology · 2021Article
- Radiomic biomarkers of tumor immune biology and immunotherapy response.Clinical and translational radiation oncology · 2021Review
- Predicting the Level of Tumor-Infiltrating Lymphocytes in Patients With Breast Cancer: Usefulness of Mammographic Radiomics Features.Frontiers in oncology · 2021Article
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Authors and funding
14 authors at 6 institutions in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
objectivesTumor-infiltrating lymphocytes (TILs) have been determined as a new prognostic indicator of immunotherapy response in breast cancer (BC). The aim of this study is to investigate the effectiveness of imaging features in predicting the TIL levels in invasive BC patients.
methodsA total of 158 patients with invasive BC were included in our study. All lesions were evaluated based on the BIRADS lexicon. US was performed for all the patients and 89 of them underwent MRI. The histologic stromal TIL (sTIL) levels were assessed and associations between the sTIL levels and imaging features were evaluated.
resultsTumors with high sTIL levels had more circumscribed margins, round shape, heterogeneous echogenicity, and larger size on ultrasonography (p < 0.005). There was a statistically significant positive correlation between the sTIL levels and ADC value (p < 0.001). Tumors with high sTIL levels had significantly more homogeneous enhancement than the tumors with low sTIL levels (p = 0.001). Logistic regression analysis showed that the ADC was the most statistically significant parameter in predicting the sTIL levels (the odds ratio was 90.952; p = 0.002). The optimal cutoff value for ADC in predicting low and high sTIL levels was found to be 0.87 × 10
conclusionsImaging findings, especially the ADC, may play an important role as an adjunct tool in cases of uncertain situations and may improve the accuracy of biopsy results. The prediction of sTIL levels using imaging findings may give an opportunity to predict prognosis. KEY POINTS: • Preoperative assessment of TILs is an important biomarker of prognosis and treatment efficacy. • ADC value can be a useful tool in distinguishing high and low sTIL levels as a non-invasive method. • The prediction of sTIL levels using imaging findings may give an opportunity to predict prognosis and an optimal treatment for the BC patients.
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