Diagnostic Performance of Multiparametric Transrectal Ultrasound in Localized Prostate Cancer: A Comparative Study With Magnetic Resonance Imaging

Zhang, Mingbo; Tang, Jie; Luo, Yan; Wang, Yiru; Wu, Meng; Memmott, Benjamin; Gao, Jing

doi:10.1002/jum.14878

Cited by 23 publications

(33 citation statements)

References 22 publications

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“…In addition, Shoji et al [29] indicated that combining Prostate Imaging Reporting and Data System Scores (PI-RADS) with measurement of Young's modulus by three-dimensional SWE improved the diagnosis of clinically significant prostate cancer. Moreover, Zhang et al [41] also demonstrated that multiparametric TRUS including greyscale imaging, colour Doppler imaging, SWE and contrast-enhanced ultrasound yielded a higher SEN, negative predictive value and accuracy than did multiparametric MRI (97.4% versus 94.7%, 96.9% versus 92.3% and 87.2% versus 76.9%, respectively) for detecting localized PCa. Hence, based on the aforementioned findings, novel SWE-based techniques and systems with improved diagnostic accuracy have provided direction and evidence for the detection of PCa in the future.…”

Section: Discussionmentioning

confidence: 98%

Value of shear wave elastography for diagnosis of primary prostate cancer: a systematic review and meta-analysis

et al. 2019

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Aim: To evaluate the difference in stiffness between prostate cancer (PCa) and benign tissue based on Young’s modulus determined by shear wave elastography (SWE). In addition, the diagnostic accuracy of SWE for the detection of PCa was evaluated comprehensively.Material and methods: We conducted our systematic review and meta-analysis based on databases of PubMed, Embase and Web of Science. Relevant studies regarding to the diagnostic accuracy of SWE for detecting PCa compared to a reference standard of histopathology were included. The pooled weighted mean difference (WMD) of Young’s modulus, sensitivity (SEN) and specificity (SPE), and area under the curve (AUC) were calculated using Stata software.Results: Based on our search strategy, 9 studies were ultimately included. The pooled results indicated that the mean Young’s modulus for detecting prostate cancer was significantly higher than that for prostate benign tissue (WMD = 38.01, 95%CI = 25.59–50.44, p<0.01). In addition, the pooled SEN was 0.86 (95%CI = 0.75–0.92), and the SPE was 0.89 (95%CI = 0.82–0.93). Moreover, an overall high degree of accuracy was indicated by the summary receiver operator characteristic curve with an AUC of 0.94 (95%CI = 0.91–0.95).Conclusion: Our study indicated that SWE is a useful technique for differentiating PCa and benign tissue with a high degree of diagnostic accuracy.

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Section: Discussionmentioning

confidence: 98%

Value of shear wave elastography for diagnosis of primary prostate cancer: a systematic review and meta-analysis

et al. 2019

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“…[30] A comparative study by Zhang et al showed multiparametric TRUS (grayscale, color Doppler, shear wave elastography, and contrast enhanced ultrasound) had higher sensitivity, negative predictive value, and accuracy than multiparametric MRI (T2-weighted, diffusion-weighted, and dynamic contrast-enhanced MRI) in detecting localized PCa. [42] From evidences, TRUS has some advantages in detecting localized PCa from MRI with lower cost, real time, and higher availability.…”

Section: Discussionmentioning

confidence: 99%

The accuracy of machine learning models using ultrasound images in prostate cancer diagnosis: A systematic review

Sihotang

Agustino

Huang

et al. 2022

Preprint

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Prostate Cancer (PCa) is the third most commonly diagnosed cancer worldwide, and its diagnosis requires many medical examinations, including imaging. Ultrasound offers a practical and cost-effective method for prostate imaging due to its real-time availability at the bedside. Nowadays, various Artificial Intelligence (AI) models, including Machine learning (ML) with neural networks, have been developed to make an accurate diagnosis. In PCa diagnosis, there have been many developed models of ML and the model algorithm using ultrasound images shows good accuracy. This study aims to analyse the accuracy of neural network machine learning models in prostate cancer diagnosis using ultrasound images. The protocol was registered with PROSPERO registration number CRD42021277309. Three reviewers independently conduct a literature search in five online databases (MEDLINE, EBSCO, Proquest, Sciencedirect, and Scopus). We screened a total of 132 titles and abstracts that meet our inclusion and exclusion criteria. We included articles published in English, using human subjects, using neural networks machine learning models, and using prostate biopsy as a standard diagnosis. Non relevant studies and review articles were excluded. After screening, we found six articles relevant to our study. Risk of bias analysis was conducted using QUADAS-2 tool. Of the six articles, four articles used Artificial Neural Network (ANN), one article used Recurrent Neural Network (RNN), and one article used Deep Learning (DL). All articles suggest a positive result of ultrasound in the diagnosis of prostate cancer with a varied ROC curve of 0.76-0.98. Several factors affect AI accuracy, including the model of AI, mode and type of transrectal sonography, Gleason grading, and PSA level. Although there was only limited and low-moderate quality evidence, we managed to analyse the predominant findings comprehensively. In conclusion, machine learning with neural network models is a potential technology in prostate cancer diagnosis that could provide instant information for further workup with relatively high accuracy above 70% of sensitivity/specificity and above 0.5 of ROC-AUC value. Image-based machine learning models would be helpful for doctors to decide whether or not to perform a prostate biopsy.

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“…The existing high level of evidence (Level I, Group 1) presenting the superiority of HDR brachytherapy boost complementary to external beam boost (11) raised the question if mpTRUS is eligible for intraprocedural definition of relevant dominant (high Gleason) subvolumes within the prostate. Controlled investigations stated the equality of mpTRUS with mpMRI (36,37); however, prospective randomized clinical trials are needed in the future.…”

Section: Discussionmentioning

confidence: 99%

BIT-ART: Multicentric Comparison of HDR-brachytherapy, Intensity-modulated Radiotherapy and Tomotherapy for Advanced Radiotherapy in Prostate Cancer

Alitto

Tagliaferri

Lancellotta

et al. 2020

In Vivo

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Background/Aim: The aim of the study was to evaluate acute and late genitourinary (GU) and gastrointestinal (GI) toxicity in patients with high-or intermediate-risk prostate cancer. Patients and Methods: We evaluated data of patients from three Radiation Oncology Departments (Rome, Lübeck and Perugia). Patients treated in Rome underwent exclusive intensity-modulatedradiotherapy (IMRT) or IMRT plus high-dose-rate interventional radiotherapy (HDR-IRT). IMRT plus two fractions HDR-IRT was performed in Lübeck, while in Perugia Helical Tomotherapy was performed. The Common Toxicity Criteria for Adverse Event (Version 4.03) scale was used to describe acute and late toxicity. Results: At a median follow-up of 28 months, all 51 patients were alive and disease-free. Patients treated by HDR-IRT plus VMAT showed only G1-2 genitourinary-gastrointestinal (GU-GI) acute and late toxicity. Univariate analysis showed a lower risk of acute GU toxicity (p=0.048) in IMRT+HDR-IRT. Conclusion: Low grade and less acute GU toxicity was observed in patients undergoing HDR-IRT boost.

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Diagnostic Performance of Multiparametric Transrectal Ultrasound in Localized Prostate Cancer: A Comparative Study With Magnetic Resonance Imaging

Cited by 23 publications

References 22 publications

Value of shear wave elastography for diagnosis of primary prostate cancer: a systematic review and meta-analysis

Value of shear wave elastography for diagnosis of primary prostate cancer: a systematic review and meta-analysis

The accuracy of machine learning models using ultrasound images in prostate cancer diagnosis: A systematic review

BIT-ART: Multicentric Comparison of HDR-brachytherapy, Intensity-modulated Radiotherapy and Tomotherapy for Advanced Radiotherapy in Prostate Cancer

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