Volume 103 ·  Issue 19 ·  2023

With the progress of imaging technology, magnetic resonance imaging (MRI) has become the preferred imaging method for prostate cancer due to its excellent soft tissue resolution and the capability of multiparametric and multi-planar imaging. This paper briefly describes the current application and research progress of MRI in the preoperative qualitative diagnosis, staging assessment and postoperative recurrence monitoring of prostate cancer. The purpose is to deepen the understanding of clinicians and radiologists on the value of MRI in prostate cancer, and to promote the exploration of MRI in the management of prostate cancer.

To evaluate the diagnostic value of multiparametric magnetic resonance imaging (mpMRI) based models in the assessment of extra-prostatic extension (EPE) of prostate cancer.

This retrospective study included 168 consecutive men with prostate cancers [aged 48 to 82 (66.6±6.8) years] who underwent radical prostatectomy and preoperative mpMRI examinations at the First Medical Center of the PLA General Hospital from January 2021 to February 2022. According to European Society of Urogenital Radiology (ESUR) score, EPE grade and mEPE score, all cases were independently evaluated by two radiologists, with disagreement reviewed by a senior radiologist as the final result. The diagnostic performance of each MRI-based model for pathologic EPE prediction was assessed using receiver operating characteristic curve (ROC), and the differences between the corresponding area under the curve (AUC) were compared using the DeLong test. The weighted Kappa test was used to evaluate the inter-reader agreement of each MRI-based model.

A total of 62 (36.9%) prostate cancer patients had pathologic confirmed EPE after radical prostatectomy. The AUC of ESUR score, EPE grade and mEPE score for predicting pathologic EPE were 0.836 (95%CI: 0.771-0.888), 0.834 (95%CI: 0.769-0.887) and 0.785 (95%CI: 0.715-0.844), respectively. The AUC of ESUR score and EPE grade were both superior to that of mEPE score with significant differences (all P<0.05), while there was no significant difference between the ESUR score and EPE grade models (P=0.900). EPE grading and mEPE score had good inter-reader consistency, with weighted Kappa values of 0.65 (95%CI: 0.56-0.74) and 0.74 (95%CI: 0.64-0.84), respectively. The inter-reader consistency of ESUR score was moderate, and the weighted Kappa value was 0.52 (95%CI: 0.40-0.63).

All MRI-based models showed good preoperative diagnostic value in predicting EPE, among which the EPE grade resulted in more reliable performance with substantial inter-reader agreement.

To evaluate the value of machine learning (ML) models based on biparametric magnetic resonance imaging (bpMRI) for diagnosis of prostate cancer (PCa) and clinically significant prostate cancer (csPCa).

A total of 1 368 patients, aged from 30 to 92 (69.4±8.2) years, from 3 tertiary medical centers in Jiangsu Province were retrospectively collected from May 2015 to December 2020, including 412 cases of csPCa, 242 cases of clinically insignificant prostate cancer (ciPCa) and 714 cases of benign prostate lesions. The data of center 1 and center 2 were randomly divided into training cohort and internal testing cohort at a ratio of 7∶3 by random number sampling without replacement using Python Random package, and the data of center 3 were used as the independent external testing cohort. The training cohort includs 243 cases of csPCa, 135 cases of ciPCa and 384 cases of benign lesions, the internal testing cohort includs 104 cases of csPCa, 58 cases of ciPCa and 165 cases of benign lesions, and the external testing cohort includs 65 cases of csPCa, 49 cases of ciPCa and 165 cases of benign lesions. The radiomics features were extracted on T₂-weighted imaging, diffusion-weighted imaging and apparent diffusion coefficient map, and optimal radiomics features were selected by using Pearson correlation coefficient method and analysis of variance. The ML models were built using two ML algorithms, including support vector machine and random forest (RF) and were further tested in the internal testing cohort and external testing cohort. Finally, the PI-RADS scores evaluated by the radiologists were adjusted by the ML models which had superior diagnostic performance, namely adjusted PI-RADS. The receiver operating characteristic (ROC) curves were used to evaluate the diagnostic performance of the ML models and PI-RADS. DeLong test was used to compare the areas under curve (AUC) of models with those of PI-RADS.

For PCa diagnosis, in internal testing cohort, the AUC of ML model using RF algorithm and PI-RADS were 0.869 (95%CI: 0.830-0.908) and 0.874 (95%CI: 0.836-0.913), respectively, and the difference between the model and PI-RADS did not reach to the statistical significance (P=0.793). In the external testing cohort, the AUC of model and PI-RADS were 0.845 (95%CI: 0.794-0.897) and 0.915 (95%CI: 0.880-0.951), respectively, and the difference was statistically significant (P=0.01). For csPCa diagnosis, the AUC of ML model using RF algorithm and PI-RADS were 0.874 (95%CI: 0.834-0.914) and 0.892 (95%CI: 0.857-0.927), respectively, in internal testing cohort, and the difference between the model and PI-RADS was not statistically significant (P=0.341). In the external testing cohort, the AUC of model and PI-RADS were 0.876 (95%CI: 0.831-0.920) and 0.884 (95%CI: 0.841-0.926), respectively, and the difference between the model and PI-RADS was not statistically significant (P=0.704). When PI-RADS assessment was adjusted with the assistance of ML models, the specificities increased from 63.0% to 80.0% in the internal testing cohort and from 92.7% to 93.3% in the external test group in diagnosing PCa. In diagnosing csPCa, the specificities increased from 52.5% to 72.6% in the internal testing cohort and from 75.2% to 79.9% in the external testing cohort.

The ML models based on bpMRI showed comparable diagnostic performance to PI-RADS assessed by senior radiologists and achieved good generalization ability in both diagnosing PCa and csPCa. The specificities of the PI-RADS were improved by ML models.

To investigate the anatomic zone localization based on biparametric magnetic resonance imaging (bpMRI) for the prediction of the risk degree in patients with prostate cancer.

A total of 92 patients with prostate cancer confirmed by radical surgery in First Affiliated Hospital, Air Force Medical University, from January 2017 to December 2021 were collected. All patients underwent bpMRI (non-enhanced scan and DWI). According to ISUP grade, those patients were divided into low-risk group [≤grade 2, n=26, aged 71 (64.0, 5.2) years] and high-risk group[≥grade 3, n=66, aged 70.5 (63.0, 74.0) years]. The interobserver consistency test for ADC values was evaluated using the intraclass correlation coefficients (ICC). The differences in total prostate specific antigen (tPSA) between the two groups were compared and the χ² test was used to compare the differences in the risk of prostate cancer in the transitional and peripheral zone. Independent correlation factors for prostate cancer risk were analyzed by logistic regression using high and low risk of prostate cancer as dependent variables, including factors such as anatomical zone, tPSA, apparent diffusion coefficient mean (ADC_mean), apparent diffusion coefficient minimum (ADC_min) and age. Receiver operating characteristic (ROC) curves were plotted to assess the efficacy of the combined models of anatomical zone, tPSA, and anatomical partitioning+tPSA for diagnosing prostate cancer risk.

The ICC values of the ADC_mean and ADC_min between the observers were 0.906 and 0.885, respectively, with good agreement. The tPSA in the low-risk group was lower than that in the high-risk group [19.64 (10.29, 35.18) ng/ml vs 72.42 (24.79, 187.98) ng/ml; P<0.001]; the risk of prostate cancer in the peripheral zone was higher than that in the transitional zone, and the difference was statistically significant (P<0.01). Multifactorial regression showed that anatomical zones (OR=0.120, 95%CI:0.029-0.501, P=0.004) and tPSA (OR=1.059, 95%CI:1.022-1.099, P=0.002) were risk factors for prostate cancer risk. The diagnostic efficacy of the combined model (AUC=0.895, 95%CI: 0.831-0.958) was better than the predictive efficacy of the single model for both anatomical partitioning (AUC=0.717, 95%CI:0.597-0.837) and tPSA (AUC=0.801, 95%CI: 0.714-0.887) (Z=3.91, 2.47; all P<0.05).

The malignant degree of prostate cancer in peripheral zone was higher than that in transitional zone. Combination of anatomic zone located by bpMRI and tPSA can be used to predict the risk of prostate cancer before surgery, expected to provide support for patients to develop personalized treatment strategies.

To explore the value of differential subsampling with cartesian ordering (DISCO) and multiplexed sensitivity-encoding diffusion weighted-imaging (MUSE-DWI) combined with prostate specific antigen density (PSAD) in the diagnosis and risk stratification of prostate cancer (PCa).

The data of 183 patients [aged from 48 to 86 (68±8) years] with prostate diseases in the General Hospital of Ningxia Medical University from July 2020 to August 2021 were retrospectively collected. Those patients were divided into non-PCa group (n=115) and PCa group (n=68) based on the disease condition. According to the risk degree, PCa group was subdivided into low risk PCa group (n=14) and medium-to-high risk PCa group (n=54). The differences of volume transfer constant (Ktrans), rate constant (Kep), extracellular volume fraction (Ve), apparent diffusion coefficient (ADC) and PSAD between groups were analyzed. Receiver operating characteristic (ROC) curves analysis were conducted for evaluating the diagnostic efficacy of quantitative parameters and PSAD in distinguishing non-PCa and PCa, low-risk PCa and medium-high risk PCa. Multivariate logistic regression model was used for screening out the predictors, which was statistically significant differences between non-PCa group and PCa group, for PCa prediction.

Ktrans, Kep, Ve and PSAD of PCa group all were higher than those of non-PCa group, and ADC value was lower than that of non-PCa group, and the differences all were statistically significant (all P<0.001). Ktrans, Kep and PSAD of medium-to-high risk PCa group all were higher than those of low risk PCa group, and ADC value was lower than that of low risk PCa group, and the differences were all statistically significant (all P<0.001). When distinguishing non-PCa from PCa, the area under ROC curve (AUC) of the combined model (Ktrans+Kep+Ve+ADC+PSAD) was higher than that of any single index [0.958 (95%CI: 0.918-0.982) vs 0.881 (95%CI: 0.825-0.924), 0.836 (95%CI: 0.775-0.887), 0.672 (95%CI: 0.599-0.740), 0.940(95%CI: 0.895-0.969), 0.816(95%CI:0.752-0.869), all P<0.05]. When distinguishing low-risk PCa and medium-to-high risk PCa, the AUC of the combined model (Ktrans+Kep+ADC+PSAD) were higher than those of Ktrans, Kep and PSAD[0.933 (95%CI: 0.845-0.979) vs 0.846 (95%CI:0.738-0.922), 0.782 (95%CI:0.665-0.873), 0.84 8(95%CI: 0.740-0.923), all P<0.05]. The multivariate logistic regression analysis showed that Ktrans (OR=1.005, 95%CI:1.001-1.010) and ADC values (OR=0.992, 95%CI:0.989-0.995) were predictors of PCa (P<0.05).

DISCO and MUSE-DWI combined with PSAD can distinguish benign and malignant prostate lesions. Ktrans and ADC values were predictors of PCa; Ktrans, Kep, ADC values and PSAD are helpful in predicting the biological behavior of PCa.

To compare the value of the modified European Society of Urogenital Radiology (ESUR) score and Mehralivand grade based on biparametric MRI (bpMRI) in the assessment of extracapsular extension (ECE) in patients with prostate cancer (PCa).

Data of 235 patients with postoperative pathology confirmed PCa, who underwent preoperative 3.0 T bpMRI examinations between March 2019 and March 2022 in the First Affiliated Hospital of Soochow University were retrospectively evaluated, including 107 ECE positive and 128 ECE negative cases, aged [M (Q₁, Q₃)] [71 (66, 75)] years. Reader 1 and 2 assessed the ECE using the modified ESUR score and Mehralivand grade, and the receiver operating characteristic curve and Delong test were used to evaluate the performance of the two scoring methods. Then, the statistically significant variables were included in multivariate binary logistics regression analysis to obtain the risk factors, which were combined with the scores of reader 1 to establish combined models. The assessment ability of the two combined models and the two scoring methods were compared subsequently.

The AUC of Mehralivand grade in reader 1 were higher than that of the modified ESUR score in reader 1 and 2 [0.746 (95%CI: 0.685-0.800) vs 0.696 (95%CI: 0.633-0.754) and 0.691 (95%CI: 0.627-0.749), both P<0.05]. The AUC of Mehralivand grade in reader 2 was higher than that of the modified ESUR score in reader 1 and 2 [0.753 (95%CI: 0.693-0.807) vs 0.696 (95%CI: 0.633-0.754) and 0.691 (95%CI: 0.627-0.749), both P<0.05]. The AUC of the combined model 1 based on the modified ESUR score and the combined model 2 based on Mehralivand grade were higher than that in the separate modified ESUR score [0.826 (95%CI: 0.773-0.879) and 0.841 (95%CI: 0.790-0.892) vs 0.696 (95%CI: 0.633-0.754), both P<0.001], and also higher than that in the separate Mehralivand grade [0.826 (95%CI: 0.773-0.879) and 0.841 (95%CI: 0.790-0.892) vs 0.746 (95%CI: 0.685-0.800), both P<0.05].

Based on bpMRI, the Mehralivand grade showed better diagnostic performance for assessing ECE preoperatively in patients with PCa than the modified ESUR score. The combination model of scoring methods and clinical variables can further enhance the diagnostic certainty in the assessment of ECE.

To compare the image quality and Qanadli embolism index between deep learning image reconstruction (DLR) and adaptive statistical iterative reconstruction-veo (ASiR-V) in dual low-dose CT pulmonary angiography (CTPA) with low contrast agent dose and low radiation dose.

Eighty-eight patients who underwent dual low-dose CTPA in the radiology department of the affiliated hospital of Xuzhou Medical University from October 2020 to March 2021 were retrospectively analyzed, including 44 males and 44 females, aged from 11 to 87 years (61±15 years). The CTPA examination were performed using 80 kV tube voltage and 20 ml contrast agent. The raw data were reconstructed using standard kernel DLR high level (DL-H) and ASiR-V reconstruction, respectively. The patients were divided into standard kernel DL-H group (n=88, 33 cases of positive embolism) and ASiR-V group (n=88, 36 cases of positive embolism). The CT value, image noise, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), subjective image quality score, Qanadli embolism index, positive rate and positive Qanadli embolism index were compared between the two groups.

There were no statistically significant differences in CT values of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery between the standard kernel DL-H group and ASiR-V group [(405.8±111.7) vs (404.0±112.0) HU, (412.9±113.1) vs (411.5±112.2) HU, (418.1±119.9) vs (415.4±118.0) HU, respectively;all P>0.05)]. The image noise of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery in the standard kernel DL-H group was significantly lower than the ASiR-V group(16.6±4.7 vs 28.1±4.8, 18.3±6.1 vs 29.8±4.9, 17.6±5.6 vs 28.4±4.7, respectively;all P<0.001). The SNR and CNR of the main pulmonary artery, the right pulmonary artery and the left pulmonary artery in the standard kernel DL-H group were significantly higher than the ASiR-V group(SNR: 25.5±7.1 vs 14.5±3.9, 23.9±7.2 vs 13.9±3.4, 24.9±7.4 vs 14.8±4.1, CNR: 21.6±6.6 vs 12.3±3.9, 20.2±6.7 vs 11.8±3.4, 21.2±6.9 vs 12.6±4.1, respectively;all P<0.001). The subjective image quality score of the standard kernel DL-H group was significantly higher than the ASiR-V group (4.6 vs 3.8, P<0.001). There were no significant difference in the Qanadli embolism index, positive rate and positive Qanadli embolism index between the two groups (all P>0.05).

Compared with ASiR-V reconstruction algorithms group, standard kernel DL-H reconstruction algorithms can significantly improve the image quality of dual low-dose CTPA.

To investigate the diagnostic and evaluation value of plasma interleukin 9 (IL9) in the mucosal healing (MH) in patients with inflammatory bowel disease (IBD) treated with biological agents.

Cohort study. IBD patients (137 cases) treated in the Affiliated Suzhou Hospital to Nanjing Medical University (Suzhou Municipal Hospital) from September 2019 to January 2022 were prospective selected. Each patient was treated with biological agents [Infliximab (IFX, 56 cases), Adalimumab (ADA, 20 cases), Ustekinumab (UST, 18 cases), Vedolizumab (VDZ, 43 cases)]. According to different therapeutic drugs, the IFX, ADA, UST, and VDZ group were divided. Clinical symptoms, inflammatory indicators and imaging examinations etc. were evaluated every 8 weeks, and the degree of MH was evaluated by endoscopy at the 54th week. The expression of plasma IL9 was detected by ELISA after initial enrollment (W 0) and 8 weeks of biological treatment (W 8). Receiver operating characteristic curve (ROC) was used to evaluate the diagnostic efficacy of IL9 for MH. Select the cut off value for the optimal ROC threshold based on the highest value of the Youden index. Spearman′s rank correlation was used to analyze the correlation between IL9 and Simple Endoscopic Score for CD (SES-CD) and Mayo Endoscopic Score (MES), so as to evaluate the predictive value of IL9 for MH in IBD patients treated with biologic agents.

Among the 137 patients, there were 97 Crohn′s disease (CD) patients, 53 males and 44 females, aged (31.6±10.3) years (18-60 years). There were 40 ulcerative colitis (UC) patients, 22 males and 18 females, aged (37.5±14.7) years (18-67 years). Among the CD patients, 42 cases (43.3%) achieved MH on endoscopy at the 54th week, and 60 patients (61.9%) achieved clinical remission. Among the UC patients, 22 cases (55.0%) achieved MH and 30 cases (75.0%) achieved clinical remission. At W 0, the relative expression of IL9 in patients in IBD patients who achieved MH after 54 weeks of biological treatment was lower than that in the non-MH patients [x¯±s, (127.42±34.43) vs (146.82±45.64) ng/L, (113.01±44.88) vs (146.12±48.66) ng/L, respectively, both P<0.05]. At W 8, the relative expression of IL9 in the MH group was lower than that in the non-MH patients (both P<0.05). The relative expression of IL9 in the MH patients after IFX treatment was lower than that in the non-MH group (P<0.05). There was no significant difference among the other groups between MH and non-MH patients (all P>0.05). IL9 at W 8 showed high value in predicting MH in IBD [CD patients: area under curve (AUC)=0.716(95%CI: 0.616-0.817, P<0.001), sensitivity and specificity were 80.77%(95%CI:67.64%-88.45%) and 48.89%(95%CI: 35.53%-64.47%), respectively; UC patients: AUC=0.821, sensitivity and specificity were 77.78% and 72.73%, respectively]. At W 8, the cut off values for CD and UC patients were IL9>80.77 ng/L and IL9>77.78 ng/L, respectively. IL9 was positively correlated with endoscopic MH score parameters [M(Q₁,Q₃),SES-CD: 3.0(8.5, 18.5); MES: 2.0(1.0, 3.0)] (r=0.55, 0.72, respectively, both P<0.001) at W8.

The plasma IL-9 at the week 8 after biological agents treatment can be used to diagnose and evaluate the MH of patients with IBD.

To investigate the clinical efficacy of Hintermann osteotomy (H-LCL) for flexible flatfoot.

A follow-up study. Clinical data of 30 patients with flexible flatfoot treated with H-LCL operation from January 2020 to December 2021 in Sports Medical Center of the First Affiliated Hospital of Army Medical University were retrospectively analyzed. There were 8 males and 22 females, with a mean age of (39.0±15.2) years. The mean time from symptom onset to the diagnosis［M（Q₁，Q₃）］was 24.0 (5.5, 102.0) months. The functional and imaging scores of the patients before and after the last follow-up were compared to evaluate the clinical efficacy of the operation. The functional scores included American Orthopedic Foot and Ankle Society (AOFAS) score, visual analogue scale (VAS) of pain, pain interference (PI) and physical function (PF) index in Patient-Reported Outcomes Measurement Information System (PROMIS). And the imaging scores included Meary′s angle, calcaneal pitch angle, calcaneal valgus angle and talonavicular coverage angle.

The mean operation time was (82.3±24.4) min, and the follow-up periods was (17.9±6.9) months. At the last follow-up, VAS of pain [M(Q₁, Q₃)] decreased from 5 (4, 6) to 2 (1, 2); PI decreased from 59.8±5.0 to 44.6±5.7; AOFAS increased from 65.2±10.0 to 85.8±3.3; PF increased from 50 (48.5,51.0) to 58.5 (54.0, 66.0); Meary′s angle (antero-posterior image) decreased from 15.7° (10.1°, 29.2°) to 3.9° (2.6°, 5.3°); Meary′s angle (lateral image) decreased from 13.5°±6.8° to 4.4°±2.6°; calcaneal pitch angle increased from 14.0°±3.3° to 18.6°±4.2°; calcaneal valgus angle decreased from 12.6°±7.3° to 4.3°±2.5°; and talonavicular coverage angle decreased from 20.9°±10.7° to 7.7°±5.2°. The up-mentioned parameters were all improved statistically significant at the last follow-up when compared with those before the operation (all P<0.05).

H-LCL brings a significant improvement of clinical outcome scores and good radiological correction of flatfoot deformities in correcting flexible flatfoot, it conforms to the anatomical characteristics of the subtalar joint.

To assess the impact of Friday surgery on clinical outcomes in elderly patients with hip fracture under multidisciplinary treatment.

A retrospective cohort study. The clinical data of 414 geriatric patients with hip fractures admitted to Zhongda Hospital Affiliated with Southeast University from January 2018 to March 2021 were analyzed retrospectively, including 126 males and 288 females with a mean age of (81.3±7.6) years. The patients were divided into two groups based on whether they underwent surgery on Friday or not. The Friday group(n=69) and the non-Friday group(n=345) were compared in terms of general information, American Society of Anesthesiologists(ASA) classification, fracture type, injury to admission time, preoperative waiting time, surgical method, anesthesia type and use of intensive care unit (ICU) fast track. Propensity score matching (PSM) was performed based on age, ASA grade, time from injury to admission, preoperative waiting time, hemoglobin and albumin levels at admission. Clinical outcomes were collected and compared between the two groups, including length of hospital stay, total hospitalization cost and 30-day, 90-day and 1-year mortality rates, and postoperative complications. Multivariate logistic regression analyses were conducted to identify influencing factors for 1-year mortality in geriatric patients with hip fracture.

Baseline data showed statistically significant differences in hemoglobin, albumin and preoperative waiting time between the two groups (all P<0.05). After PSM matching, 69 patients were included in each group, and no significant differences were observed in baseline data between the two groups (all P>0.05). There was no significant differences in 30-day mortality rate (4.3% vs 0, P=0.080), 90-day mortality rate (7.2% vs 1.4%, P=0.095), length of hospital stay [(10.85±4.45)d vs (10.92±3.68)d, P=0.919], total hospitalization cost [(60.9±15.4) thousands yuan vs (59.1±15.4) thousands yuan, P=0.489], postoperative complications [pneumonia (11.6% vs 13.0%, P=0.796), cardio-cerebrovascular complications (11.6% vs 8.7%, P=0.573) and delirium (5.7% vs 2.9%, P=0.245)] between the Friday group and the non-Friday group (all P>0.05). However, the 1-year mortality rate was higher in the Friday group than that in the non-Friday group(18.8% vs 4.3%, P=0.008). Multivariate analysis revealed that surgery on Friday (OR=11.222, 95%CI: 2.198-57.291, P=0.004), low hemoglobin levels at admission (OR=0.920, 95%CI: 0.875-0.967, P=0.001), hemiarthroplasty treatment (OR=5.127, 95%CI: 1.308-20.095, P=0.019) and longer surgery duration (OR=0.958, 95%CI: 0.927-0.989, P=0.009) were influencing factors for 1-year mortality in geriatric patients with hip fracture.

In the context of multidisciplinary treatment, Friday surgery does not increase short-term mortality, length of hospital stay, total hospitalization cost or incidence of complications in geriatric patients with hip fracture. However, it remains a influencing factor for 1-year mortality in those patients.

Two cases of X-linked agammaglobulinemia (XLA) in the same family are reported. Both patients were 29 years old, cousins, and both had recurrent pulmonary infections for many years, combined with sinusitis and bronchiectasis. In addition to this, patient 1 had polyarticular pain for 9 years, and patient 2 had a history of otitis media and abscess incision and drainage. Immune examination after admission showed that IgG, IgM and IgA were significantly reduced. Lymphocyte counts showed a significant decrease in B lymphocyte counts and percentages. Genetic detection revealed that two patients had the same gene mutation of BTK NM_000061.2:c. 1430T>A, p. (Met477Lys). After admission, both patients improved after treatment with gamma globulin infusion and anti-infection.

MRI is currently the first-line method of prostate cancer examination in clinic. However, due to the interference of complex pathophysiological changes such as intraprostatic hyperplasia, inflammation and bleeding, as well as the heterogeneity of scan parameters and image quality, false positive results often appear in prostate MRI examination, resulting in some patients undergoing unnecessary puncture biopsy. In order to improve the accuracy of MRI diagnosis of prostate cancer, it is particularly important to clarify the underlying histopathological mechanism of different MRI manifestations.

Prostate Imaging Reporting and Data System (PI-RADS) is currently the recognized standard for the acquisition and evaluation of Prostate MRI. For lesions located in the peripheral zone of the prostate, the PI-RADS guidelines recommend that the dynamic contrast enhanced (DCE) sequence should be referred to in the evaluation. However, there remains much controversy regarding the value of DCE in the assessment of prostatic lesions.