ArticleCurrent oncology (Toronto, Ont.)2022
Artificial Intelligence System for Predicting Prostate Cancer Lesions from Shear Wave Elastography Measurements.
Article in Current oncology (Toronto, Ont.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Novel non-MRI imaging techniques for primary diagnosis of prostate cancer: micro-ultrasound, contrast-enhanced ultrasound, elastography, multiparametric ultrasound, and PSMA PET/CT.Prostate cancer and prostatic diseases · 2024Pooled it
- Shear-Wave Elastography as an Objective Diagnostic Tool for Capsular Contracture After Breast Implant Surgery: A Comparative Study.Diagnostics (Basel, Switzerland) · 2026Article
- Capsular Contracture in Implant-Based Breast Reconstruction: A Comprehensive Narrative Review of Pathophysiology, Risk Factors, and Contemporary Controversies.Medicina (Kaunas, Lithuania) · 2026Review
- Article
- Shear wave elastography primer for the abdominal radiologist.Abdominal radiology (New York) · 2025Review
- Article
- Elastography of the Male Pelvic Region-Perspectives on Malignant Lesions.Diagnostics (Basel, Switzerland) · 2024Review
- Evaluation of endometrial receptivity in women with unexplained infertility by shear wave elastography.Insights into imaging · 2024Article
- The Cavernous Nerve Injury Rat Model: A Pictorial Essay on Post-Radical Prostatectomy Erectile Dysfunction Research.Life (Basel, Switzerland) · 2023Review
- TRUSformer: improving prostate cancer detection from micro-ultrasound using attention and self-supervision.International journal of computer assisted radiology and surgery · 2023Article
- Rats, Neuregulins and Radical Prostatectomy: A Conceptual Overview.Journal of clinical medicine · 2023Review
- Artificial Intelligence for Cancer Detection-A Bibliometric Analysis and Avenues for Future Research.Current oncology (Toronto, Ont.) · 2023Review
- Factors other than fibrosis that increase measured shear wave velocity.World journal of gastroenterology · 2022Review
- Review
- Towards Precision Oncology: Enhancing Cancer Screening, Diagnosis and Theragnosis Using Artificial Intelligence.Current oncology (Toronto, Ont.) · 2022Article
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
(1) Objective: To design an artificial intelligence system for prostate cancer prediction using the data obtained by shear wave elastography of the prostate, by comparing it with the histopathological exam of the prostate biopsy specimens. (2) Material and methods: We have conducted a prospective study on 356 patients undergoing transrectal ultrasound-guided prostate biopsy, for suspicion of prostate cancer. All patients were examined using bi-dimensional shear wave ultrasonography, which was followed by standard systematic transrectal prostate biopsy. The mean elasticity of each of the twelve systematic biopsy target zones was recorded and compared with the pathological examination results in all patients. The final dataset has included data from 223 patients with confirmed prostate cancer. Three machine learning classification algorithms (logistic regression, a decision tree classifier and a dense neural network) were implemented and their performance in predicting the positive lesions from the elastographic data measurements was assessed. (3) Results: The area under the curve (AUC) results were as follows: for logistic regression-0.88, for decision tree classifier-0.78 and for the dense neural network-0.94. Further use of an upsampling strategy for the training set of the neural network slightly improved its performance. Using an ensemble learning model, which combined the three machine learning models, we have obtained a final accuracy of 98%. (4) Conclusions: Bi-dimensional shear wave elastography could be very useful in predicting prostate cancer lesions, especially when it benefits from the computational power of artificial intelligence and machine learning algorithms.
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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.