Litcius/Paper detail

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

Xu Yan, Ke Ma, Li Zhu, Yiqi Pan, Yuting Wang, Jiong Shi, Xiaoli Mai

2024Insights into Imaging11 citationsDOIOpen Access PDF

Abstract

Abstract 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 (ADC mean ) and minimum ADC (ADC min ) values was compared. Results There were 1414 patients with 1631 lesions. In terms of GS, both ADC min and ADC mean 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 ADC min and ADC mean were 0.914 and 0.944, respectively. The corresponding diagnostic thresholds were 0.703 × 10 − 3 mm 2 /s for ADC min and 0.927 × 10 −3 mm 2 /s for ADC mean . The magnitudes of ADC min and ADC mean 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 ADC mean 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

Topics & Concepts

MedicineEffective diffusion coefficientProstate cancerGrading (engineering)ProstateNeuroradiologyOncologyRadiologyNuclear medicineCancerInternal medicineMagnetic resonance imagingNeurologyPsychiatryEngineeringCivil engineeringProstate Cancer Diagnosis and TreatmentMRI in cancer diagnosisProstate Cancer Treatment and Research