Relationship between Apparent Diffusion Coefficient Distribution and Cancer Grade in Prostate Cancer and Benign Prostatic Hyperplasia

Saito, Shigeyoshi; Koyama, Yoshihiro; Ueda, Junpei; Hashido, Takashi

doi:10.3390/diagnostics12020525

Cited by 6 publications

(4 citation statements)

References 28 publications

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“…The inverse correlation observed between GS values and ADC min /ADC mean substantiates the assertion that as the malignancy of prostate lesions intensifies, ADC values correspondingly decline, potentially portending an unfavorable PCa prognosis. Remarkably, these conclusions are aligned with the investigations of Saito et al [ 22 ] and Bajgiran et al [ 23 ]. Within the context of lesions spanning diverse low to intermediate-risk PCa grades, both ADC min and ADC mean exhibit diagnostic value, facilitating the nuanced prediction of risk stratification pertinent to prognosis.…”

Section: Discussionsupporting

confidence: 91%

The value of apparent diffusion coefficient values in predicting Gleason grading of low to intermediate-risk prostate cancer

Yan,

Ma,

Zhu

et al. 2024

Insights Imaging

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Objectives To investigate the diagnostic performance of the apparent diffusion coefficient (ADC) for low to intermediate-risk prostate cancer (PCa), as well as its correlation with the prognostic Gleason score (GS). Materials and methods Retrospective analysis of MRI images and relevant clinical data from patients with prostate disease. The differences in ADC between different GS groups were compared, and the efficacy of ADC in PCa diagnosis were analyzed. Furthermore, the diagnostic performance of the mean ADC (ADCmean) and minimum ADC (ADCmin) values was compared. Results There were 1414 patients with 1631 lesions. In terms of GS, both ADCmin and ADCmean values of the GS 4 + 3 group were significantly lower than those of the GS 3 + 4 group, GS 3 + 3 group, and the benign group, with all differences being statistically significant (p < 0.01). The AUC values for diagnosing PCa based on ADCmin and ADCmean were 0.914 and 0.944, respectively. The corresponding diagnostic thresholds were 0.703 × 10−3 mm2/s for ADCmin and 0.927 × 10−3 mm2/s for ADCmean. The magnitudes of ADCmin and ADCmean values exhibited a negative correlation with GS values (ρ = −0.750, p < 0.001; ρ = −0.752, p < 0.001). Conclusions ADC values demonstrate an inverse relationship with the invasiveness of PCa, indicating that higher invasiveness is associated with lower ADC values. Additionally, ADC values exhibit high diagnostic potential, sensitivity, and specificity for distinguishing between GS 3 + 4 and GS 4 + 3 lesions. Moreover, the diagnostic value of ADCmean is even more significant, highlighting its crucial role in the diagnosis of low to intermediate-risk PCa. Critical relevance statement ADC values are a valuable tool for distinguishing different levels of aggressiveness in PCa. They help in the preoperative assessment of the biological characteristics of PCa, allowing clinicians to develop personalized treatment strategies, effectively mitigating the risk of unnecessary interventions. Key Points The preoperative GS is crucial for planning the clinical treatment of PCa. The invasiveness of PCa is inversely correlated with ADC values. ADC values play a crucial role in the accurate preoperative evaluation of low to intermediate-risk PCa, thus aiding clinicians in developing tailored treatment plans. Graphical Abstract

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Section: Discussionsupporting

confidence: 91%

The value of apparent diffusion coefficient values in predicting Gleason grading of low to intermediate-risk prostate cancer

Yan,

Ma,

Zhu

et al. 2024

Insights Imaging

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“…12 Previous studies have consistently demonstrated significantly lower ADC values in PCa lesions compared to benign lesions. 13,14 A meta-analysis further confirmed the diagnostic utility of ADC values, reporting the overall sensitivity of 76.9% and specificity of 77.0% for PCa detection. 15 Therefore, ADC values serve as a reliable predictive biomarker for PCa.…”

Section: Introductionmentioning

confidence: 78%

“…The restriction of free water movement within tissues can be quantified using apparent diffusion coefficient (ADC) 12 . Previous studies have consistently demonstrated significantly lower ADC values in PCa lesions compared to benign lesions 13,14 . A meta‐analysis further confirmed the diagnostic utility of ADC values, reporting the overall sensitivity of 76.9% and specificity of 77.0% for PCa detection 15 .…”

Section: Introductionmentioning

confidence: 86%

Based on PI‐RADS v2.1 combining PHI and ADC values to guide prostate biopsy in patients with PSA 4−20 ng/mL

Huang,

Liu,

et al. 2023

The Prostate

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PurposeThe study aimed to investigate the diagnostic accuracy of prostate health index (PHI) and apparent diffusion coefficient (ADC) values in predicting prostate cancer (PCa) and construct a nomogram for the prediction of PCa and clinically significant PCa (CSPCa) in Prostate Imaging‐Reporting and Data System (PI‐RADS) three lesions cohort.MethodsThis study prospectively enrolled 301 patients who underwent multiparametric magnetic resonance (mpMRI) and were scheduled for prostate biopsy. The receiver operating characteristic curve (ROC) was performed to estimate the diagnostic accuracy of each predictor. Univariable and multivariable logistic regression analysis was conducted to ascertain hidden risk factors and constructed nomograms in PI‐RADS three lesions cohort.ResultsIn the whole cohort, the area under the ROC curve (AUC) of PHI is relatively high, which is 0.779. As radiographic parameters, the AUC of PI‐RADS and ADC values was 0.702 and 0.756, respectively. The utilization of PHI and ADC values either individually or in combination significantly improved the diagnostic accuracy of the basic model. In PI‐RADS three lesions cohort, the AUC for PCa was 0.817 in the training cohort and 0.904 in the validation cohort. The AUC for CSPCa was 0.856 in the training cohort and 0.871 in the validation cohort. When applying the nomogram for predicting PCa, 50.0% of biopsies could be saved, supplemented by 6.9% of CSPCa being missed.ConclusionPHI and ADC values can be used as predictors of CSPCa. The nomogram included PHI, ADC values and other clinical predictors demonstrated an enhanced capability in detecting PCa and CSPCa within PI‐RADS three lesions cohort.

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“…BPH is commonly seen in older male patients. BPH may cause bladder outlet obstruction (BOO), and therefore patients may develop a variety of symptoms related to voiding urine such as LUTS [ 1 ]. Acute urinary retention, urinary tract infection, vesicle stones and chronic kidney disease may occur if the symptoms progress.…”

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confidence: 99%

Prostate Cancer after Percutaneous Arterial Embolization of the Prostate: A Case Report

et al. 2022

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We report a patient with prostate cancer found 2 years after percutaneous arterial embolization (PAE) of the prostate with a rapid increase in prostate specific antigen (PSA) 3 months later, even though the initial result was low. He did not consult a urologist during or after PAE until acute urinary retention developed. The clinical stage was cT2cN1M1b with Gleason grade 5 + 5 = 10. An increase in PSA a short interval after PAE may suggest the presence of prostate cancer. We suggest that patients undergoing PAE should consult a urologist, and that PSA levels should be checked every 3 months in the first year after PSA.

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Relationship between Apparent Diffusion Coefficient Distribution and Cancer Grade in Prostate Cancer and Benign Prostatic Hyperplasia

Cited by 6 publications

References 28 publications

The value of apparent diffusion coefficient values in predicting Gleason grading of low to intermediate-risk prostate cancer

The value of apparent diffusion coefficient values in predicting Gleason grading of low to intermediate-risk prostate cancer

Based on PI‐RADS v2.1 combining PHI and ADC values to guide prostate biopsy in patients with PSA 4−20 ng/mL

Prostate Cancer after Percutaneous Arterial Embolization of the Prostate: A Case Report

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