Observational studyScientific reports2021
The potential role of MR based radiomic biomarkers in the characterization of focal testicular lesions.
Observational study in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.
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Who cites it
22 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Contrast-enhanced ultrasonography vs MRI for indeterminate testicular lesions: a systematic review and meta-analysis.BJU international · 2026Pooled it
- From Testis to Retroperitoneum: The Role of Radiomics and Artificial Intelligence for Primary Tumors and Nodal Disease in Testicular Cancer: A Systematic Review.Medicina (Kaunas, Lithuania) · 2026Pooled it
- Radiomics: Current Applications and Future Directions.MedComm · 2026Review
- Talin1 is downregulated in testicular germ cell tumors according to combined bioinformatics and experimental approaches.Scientific reports · 2026Article
- From incidentaloma to actionable insight: a clinical-molecular-imaging framework for risk-stratified management of testicular microlithiasis.Frontiers in endocrinology · 2026Review
- MRI of the Scrotum and Penis: Current Applications and Clinical Relevance.Diagnostics (Basel, Switzerland) · 2025Review
- Application of machine learning based on radiomics in the discrimination of intracranial germ cell tumours.Translational pediatrics · 2025Article
- Article
- Radiomics Results for Adrenal Mass Characterization Are Stable and Reproducible Under Different Software.Life (Basel, Switzerland) · 2025Article
- Identification of testicular cancer with T2-weighted MRI-based radiomics and automatic machine learning.BMC cancer · 2025Article
- Non-invasive differential diagnosis of teratomas from other intracranial germ cell tumours using MRI-based fractal and radiomic analyses.European radiology · 2024Article
- Diagnosis and management of indeterminate testicular lesions.Nature reviews. Urology · 2024Review
- Testicular cancer: new developments, molecular pathology, and current research keynote.Pathologie (Heidelberg, Germany) · 2023Review
- Imaging of pediatric testicular tumors: A COG Diagnostic Imaging Committee/SPR Oncology Committee White Paper.Pediatric blood & cancer · 2023Article
- The Renaissance of Male Infertility Management in the Golden Age of Andrology.The world journal of men's health · 2023Review
- A first look into radiomics application in testicular imaging: A systematic review.Frontiers in radiology · 2023Review
- An Overview of the Role of Multiparametric MRI in the Investigation of Testicular Tumors.Cancers · 2022Review
- Dopamine transporter single-photon emission computed tomography-derived radiomics signature for detecting Parkinson's disease.EJNMMI research · 2022Article
- Overexpression of melanoma-associated antigen A2 has a clinical significance in embryonal carcinoma and is associated with tumor progression.Journal of cancer research and clinical oncology · 2022Article
- Contemporary options and future perspectives: three examples highlighting the challenges in testicular cancer imaging.World journal of urology · 2022Review
Corrections and comments
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
How to differentiate with MRI-based techniques testicular germ (TGCTs) and testicular non-germ cell tumors (TNGCTs) is still under debate and Radiomics may be the turning key. Our purpose is to investigate the performance of MRI-based Radiomics signatures for the preoperative prediction of testicular neoplasm histology. The aim is twofold: (i), differentiating TGCTs and TNGCTs status and (ii) differentiating seminomas (SGCTs) from non-seminomatous (NSGCTs). Forty-two patients with pathology-proven testicular neoplasms and referred for pre-treatment MRI, were retrospectively enrolled. Thirty-two out of 44 lesions were TGCTs. Twelve out of 44 were TNGCTs or other histologies. Two radiologists segmented the volume of interest on T2-weighted images. Approximately 500 imaging features were extracted. Least Absolute Shrinkage and Selection Operator (LASSO) was applied as method for variable selection. A linear model and a linear support vector machine (SVM) were trained with selected features to assess discrimination scores for the two endpoints. LASSO identified 3 features that were employed to build fivefold validated linear discriminant and linear SVM classifiers for the TGCT-TNGCT endpoint giving an overall accuracy of 89%. Four features were employed to build another SVM for the SGCT-SNGCT endpoint with an overall accuracy of 86%. The data obtained proved that T2-weighted-based Radiomics is a promising tool in the diagnostic workup of testicular neoplasms by discriminating germ cell from non-gem cell tumors, and seminomas from non-seminomas.
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