Susceptibility artifacts and PIRADS 3 lesions in prostatic MRI: how often is the dynamic contrast-enhance sequence necessary?

Antunes, Natalie; Vas, Daniel; Sebastiá, Carmen; Salvador, Rafael; Ribal, María J.; Nicolau, Carlos

doi:10.1007/s00261-021-03011-0

Cited by 4 publications

(3 citation statements)

References 26 publications

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“…The research of Antunes et al shows that multiparameter magnetic resonance imaging (MP MRI) can provide more accurate and rich diagnostic information that is helpful to clinic. Other studies have shown that T2WI combined with magnetic resonance functional imaging sequences greater than or equal to two can significantly improve the sensitivity and specificity of image examination for PCA diagnosis and then improve the diagnostic efficiency [ 10 ]. Yildirim first used apt imaging technology to detect free proteins and amino acids in vivo in 2003.…”

Section: Literature Reviewmentioning

confidence: 99%

Diagnostic Value of Magnetic Resonance Susceptibility-Weighted Imaging Scanning in Different Types of Early Prostate Cancer

2022

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To investigate the cost of MRI-sensitive imaging (SWI) for early-stage prostate cancer. In 2019, the research group included a total of 60 leukemia patients, all of whom were diagnosed with prostate-specific antigen (PSA). According to the range of PSA values, they were group A (18 cases), group A 0-44 mg/ml (18 cases), and group B 4-1010 mg/ml (26 cases). 10 mg/ml was divided into C group (16 cases). Another 60 patients with benign prostatic hyperplasia treated at the same time served as a control group. All patients underwent sensitive MRI scanning, followed by diagnostic and clinical evaluation of weighted MRI scanning to diagnose various types of prostate cancer. The results showed that there was no difference in Ve levels among the three groups ( P > 0.05 ); the SUSE score and Ktrans and Kep levels of the patients in group C were higher in groups B, A, and A ( P < 0.05 ). In patients with early leukemia, SUSE score was significantly correlated with Ktrans and Kep levels ( P < 0.05 ), but not with Ve and P > 0.05 levels. Magnetic resonance imaging can be used to diagnose prostate cancer. It can differentiate and diagnose different types of prostate cancer early. This is important for evaluating the benefits of prostate cancer screening and treatment.

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Section: Literature Reviewmentioning

confidence: 99%

Diagnostic Value of Magnetic Resonance Susceptibility-Weighted Imaging Scanning in Different Types of Early Prostate Cancer

2022

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“…We employed a scoring method to assess the impact of rectal artifacts on the prostate gland region. A previous study has demonstrated the good interrater consistency of this method ( 19 ). Two radiologists with 4 and 6 years of experience in prostate imaging (L.H.…”

Section: Methodsmentioning

confidence: 77%

“…Discrepancies in scoring between the two radiologists were determined by a senior radiologist with 15 years of experience in prostate imaging (J.Z.). Images were scored using a four-point scale (1: no artifact; 2: mild artifact, when <50% of the peripheral zone next to the rectum was involved; 3: moderate artifact, when 50%–100% of the peripheral zone was affected without involving the transition zone; and 4: severe artifact, when the artifact extended into the transition zone) ( 19 ). Examples of common rectal artifacts are shown in Figure S1 .…”

Section: Methodsmentioning

confidence: 99%

Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis

Hu,

Guo,

Zhou

et al. 2024

Radiology: Artificial Intelligence

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Purpose To develop an MRI-based model for clinically significant prostate cancer (csPCa) diagnosis that can resist rectal artifact interference. Materials and Methods This retrospective study included 2203 male patients with prostate lesions who underwent biparametric MRI and biopsy between January 2019 and June 2023. Targeted adversarial training with proprietary adversarial samples (TPAS) strategy was proposed to enhance model resistance against rectal artifacts. The automated csPCa diagnostic models trained with and without TPAS were compared using multicenter validation datasets. The impact of rectal artifacts on the diagnostic performance of each model at the patient and lesion levels was compared using the area under the receiver operating characteristic curve (AUC) and the area under the precision-recall curve (AUPRC). The AUC between models was compared using the DeLong test, and the AUPRC was compared using the bootstrap method. Results The TPAS model exhibited diagnostic performance improvements of 6% at the patient level (AUC: 0.87 vs 0.81, P < .001) and 7% at the lesion level (AUPRC: 0.84 vs 0.77, P = .007) compared with the control model. The TPAS model demonstrated less performance decline in the presence of rectal artifact–pattern adversarial noise than the control model (ΔAUC: −17% vs −19%, ΔAUPRC: −18% vs −21%). The TPAS model performed better than the control model in patients with moderate (AUC: 0.79 vs 0.73, AUPRC: 0.68 vs 0.61) and severe (AUC: 0.75 vs 0.57, AUPRC: 0.69 vs 0.59) artifacts. Conclusion This study demonstrates that the TPAS model can reduce rectal artifact interference in MRI-based csPCa diagnosis, thereby improving its performance in clinical applications. Keywords: MR–Diffusion-weighted Imaging, Urinary, Prostate, Comparative Studies, Diagnosis, Transfer Learning Clinical trial registration no. ChiCTR23000069832 Supplemental material is available for this article. Published under a CC BY 4.0 license.

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Prevalence of clinically significant prostate carcinoma in Prostate Imaging Reporting and Data System (PIRADS) 3 lesions detected in the peripheral zone on biparametric magnetic resonance imaging (MRI)—a local experience

Khalid,

Parker,

Smith

et al. 2024

Clinical Radiology

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Susceptibility artifacts and PIRADS 3 lesions in prostatic MRI: how often is the dynamic contrast-enhance sequence necessary?

Cited by 4 publications

References 26 publications

Diagnostic Value of Magnetic Resonance Susceptibility-Weighted Imaging Scanning in Different Types of Early Prostate Cancer

Diagnostic Value of Magnetic Resonance Susceptibility-Weighted Imaging Scanning in Different Types of Early Prostate Cancer

Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis

Prevalence of clinically significant prostate carcinoma in Prostate Imaging Reporting and Data System (PIRADS) 3 lesions detected in the peripheral zone on biparametric magnetic resonance imaging (MRI)—a local experience

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