Target biopsy (TB) was defined to detect a higher rate of cancer with fewer cores. Today, however, the combined biopsy (CB; TB + standard prostate biopsy (SPB)) with even more cores has become more popular. We aimed to compare CB results with those of TB and SPB in patients in the gray zone and, based on the outcomes, to determine whether TB has achieved its goal based on the expectation that higher cancer detection rates can be attained with fewer cores.
Materials and methods
This prospective study included patients with a prostate imaging reporting and data system (PI-RADS) ≥3 lesion and serum prostate-specific antigen (PSA) <10 ng/ml who underwent CB. All patients underwent two to five core biopsies per suspicious lesion (TB). Then, an SPB was administered to the same patients and in the same sessions. For fusion biopsy procedures, a fusion ultrasonography device with rigid software was used.
A total of 404 patients were included in the study. The rate of clinically significant prostate cancer (sPCa) detection in TB, SPB, and CB was 30.2%, 25.5%, and 38.4%, respectively (p<0.05). The highest sPCa detection rate per core was detected in TB. For these patients, the CB results were accepted as the reference standard and then the histopathological upgrading of the lesions detected by SPB and TB was determined. Accordingly, higher histopathological upgrade rates were detected in SPB (10% and 25.7%).
We can say that the philosophy of detecting more cancers with a low number of cores, which was created when defining TB, was partially unsuccessful.
Prostate cancer (PCa) is the second most common cancer in men worldwide . Digital rectal examination (DRE), serum prostate-specific antigen (PSA) test, and prostate needle biopsy are the most common procedures used in the diagnosis of PCa .
Standard prostate biopsy (SPB) remains the golden standard in the diagnosis of PCa. However, it has been shown to result in a missed diagnosis of PCa in 21%-28% and to detect lower-grade tumors in 14%-17% of the cases . Accordingly, a number of biopsy techniques have been developed in line with advancing technology. Of these, multiparametric magnetic resonance imaging (mpMRI)-guided fusion prostate biopsy (FPB) has recently emerged as a promising technique, which is based on the prostate imaging reporting and data system (PI-RADS) scoring system and is performed in the form of cognitive, fusion, or in-bore biopsy using ultrasound fusion imaging with a computer program .
FPB is recommended primarily for repeat biopsy in patients with a clinical suspicion of PCa whose initial prostate biopsies were negative and for follow-up biopsy in PCa patients on active follow-up and for patients who have a clinical suspicion of recurrence after local minimally invasive treatment (e.g., radiotherapy or high-intensity focused ultrasound (HIFU)) [5-6]. Additionally, FPB has been recently shown to provide effective outcomes in biopsy-naïve patients [7-9].
MpMRI-targeted biopsy (TB), a part of fusion biopsy, was first introduced in the early 2010s, predominantly to investigate whether better outcomes can be obtained by performing a biopsy on target lesions with fewer cores [10-11]. In later years, however, combined prostate biopsy (CB) (SPB + TB), which adopted a higher number of cores and was shown to have higher cancer detection rates, became a popular technique [7,12-13].
In the present study, we aimed to compare CB results with those of TB and SPB in patients with a PI-RADS ≥3 lesion and PSA <10 ng/ml and, based on the outcomes, to determine whether TB has achieved its goal based on the expectation that higher cancer detection rates can be attained with fewer cores.
Materials & Methods
Patient selection and pre-biopsy procedure
The prospective study included patients that were followed up at Erciyes University Urology Clinic with a clinical suspicion of PCa and a PSA level of <10 ng/ml. Patients detected with no suspicious lesions on mpMRI prior to the biopsy procedure and patients with a PI-RADS <3 lesion were excluded from the study. Clinical and demographic characteristics, including age, body mass index (BMI), serum PSA level, total prostate volume, PI-RADS score, the number of biopsy cores used in the procedure, and histopathological diagnosis were recorded for each patient. Prior to biopsy, all the patients had sterile urine culture and the ongoing anticoagulant and antiaggregant therapies of the patients were discontinued. Twenty-four hours prior to the procedure, three oral doses of 750 mg of ciprofloxacin (at a 12-h interval) were administered. No bowel preparation was used prior to the procedure. Patients with a histopathological diagnosis of atypical small acinar proliferation (ASAP) or high-grade prostatic intraepithelial neoplasia (HGPIN) were excluded from the study and were referred for appropriate treatment and follow-up.
MpMRI and PI-RADS
Prior to the biopsy procedure, prostate MpMRI was performed without an endorectal coil in each patient using a Siemens Magnetom 1.5 Tesla MRI device (Siemens Medical Solutions, Malvern, USA). Suspicious lesions detected on contrast-enhanced T1, T2, and diffusion-weighted sequences were evaluated based on the PI-RADS version 2 . In patients with multiple lesions and more than one PI-RADS score, only the highest PI-RADS score was considered.
Standard prostate biopsy and fusion prostate biopsy
The entire biopsy procedure was performed in polyclinic conditions with local or sedation anesthesia. Transrectal ultrasonography (TRUS) was performed by using an ultrasonography (US) system with rigid fusion software (LOGIQ E9; General Electric, MA, USA) with the patients lying in the left decubitus position. Rectal lidocaine gel was applied before a rectal US probe was introduced. A sonographic examination of the prostate tissue was performed to determine the presence of prominent lesions. The total prostate volume was measured using the following formula: height (H) x width (W) x length (L) x 0.523. MpMRI images were transferred to the US system. Following the segmentation (matching) of sonographic images with MRI images, the lesions detected on MpMRI were marked. Subsequently, the periprostatic block was administered with 2% prilocaine hydrochloride (20 mg/mL) injected into the neurovascular bundle on both sides of the prostate, with 5 mL to the right and 5 mL to the left. Following the block, two to five core biopsies were obtained from the MRI-targeted lesions with PI-RADS ≥3. All the data transfers and markings throughout the procedure were performed by two urologists experienced and trained in transrectal prostate ultrasonography and biopsy. Following the completion of TB, a standard 12-core SPB was performed in each patient after impairing MpMRI segmentation.
The specimens were separately placed in previously labeled containers and were sent for histopathological examination. The cancer detection rate per core was determined in accordance with the International Society of Urological Pathology (ISUP) grades that are calculated based on primary and secondary Gleason scores . Clinically significant prostate cancer (sPCa) was considered as biopsy Gleason score ≥3+4 or maximum cancer core length ≥5 mm.
Data were analyzed using SPSS for Windows version 22.0 (Armonk, NY: IBM Corp.). The normal distribution of data was determined using the Shapiro-Wilk test. Continuous variables with normal distribution were expressed as mean ± standard deviation (SD) and the continuous variables with non-normal distribution were expressed as median (first to third quartile). Categorical variables were expressed as percentages. Categorical dependent variables were compared using McNemar’s test and Cochran's Q test. Non-normally distributed continuous dependent variables were evaluated using Friedman’s test. A p-value of <0.05 was considered significant.
Of the 778 patients that underwent mpMRI within the study period, a total of 404 patients with a PI-RADS ≥3 lesion and PSA<10 ng/ml who underwent CB were included in the study. The mean age was 62.38±7.19 years, the mean BMI was 27.57±3.76 kg/m2, and the median PSA was 7.50 (5.40-9.34) ng/ml. A biopsy procedure was performed under local anesthesia in 217 (53.7%) patients. A PI-RADS 3 lesion was the most common lesion detected in the patients (58.9%) and ISUP grade 1 was the most common histopathological grade detected in our patients (59.4%). Of the 404 patients, 130 (32.2%) patients had a history of negative biopsy and 274 (67.8%) patients were biopsy naïve. Table 1 presents some demographic and clinical data of patients. The histopathological analysis of SPB, TB, and CB indicated that CB provided the highest sPCa detection rate (38.4%) and TB provided the lowest rate (25.5%), and a significant difference was found among the three groups (p<0.001). In contrast, the highest cancer detection rate per core was detected in the TB group (Table 2). The total number of patients detected with sPCa by all three biopsy methods was 70 (17.3%). For these patients, the CB results were accepted as the reference standard and then histopathological upgrading of the lesions detected by SPB and TB was determined (Table 3). Accordingly, histopathological upgrading was detected in 18 (25.7%) and 7 (10%) of the lesions detected by SPB and TB, respectively (p=0.043).
MpMRI-guided FPB has been shown to provide successful outcomes in patients with a history of negative biopsy and has become a well-established biopsy technique [5-6]. Additionally, it has recently emerged as a successful technique in biopsy-naïve patients as well [7-9]. As expected, based on these data, the findings of the present study that evaluated both biopsy-naïve and previous negative biopsy patients indicated that TB had the lowest number of core and CB had the highest (p<0.001). However, TB could not show the same success in the cancer detection rate as it had the lowest rate when compared to SPB and CB (25.5%, 30.2%, and 38.4%, respectively).
The finding of the present study that suggested that CB had the highest cancer detection rate was consistent with the literature. Nevertheless, the finding that suggested that TB had the lowest detection rate contradicted with the literature. A recent systematic review indicated that SPB had a cancer detection rate of 26.3%-56.6% while CB had a rate of 33.7%-79.5% . Another study compared the three techniques and revealed that CB had an sPCa detection rate of 43% . The study was dissimilar to our study in that it reported that the sPCa detection rates were 31% and 36% in the TB and SPB groups, respectively (p=0.155). Another study revealed that CB had an sPCa detection rate of 65% . The same study, unlike our study, did not only include patients with PSA<10 ng/ml but included patients with all PSA levels and reported that the patients had a median PSA level of 9 (range, 0.7-48) ng/ml, both of which might be the reasons for the higher cancer detection rates determined in that study as compared to those of our study. Moreover, in the same study, the sPCa detection rates for TB and SPB were 38.2% and 33.5% and no significant difference was found between the two rates (p=0.2). In another recent study, Baco et al. evaluated biopsy-naïve patients and revealed similar sPCa detection rates for two-core TB and 12-core random biopsy, both of which were administered only in patients with suspicious lesions (44% and 49%, respectively) (p=0.5) . In our study, however, TB provided poorer outcomes as compared to SPB. This finding contradicted the literature and could be attributed to several factors, including the learning curve of TB, the inclusion of both primary and secondary patients, and the patient selection criteria of our study.
A previous study evaluated patients with a history of negative biopsy and found an sPCa detection rate of 34.9% for MRI-guided FPB . In a study published in 2015, Borkowetz et al. evaluated biopsy-naïve and previous negative biopsy patients who underwent CB and reported that the cancer detection rate of CB was 44% and 46% in biopsy-naïve and previous negative biopsy patients, respectively . Another study that was conducted by the same authors evaluated biopsy-naïve patients and reported an sPCa detection rate of 44% . In line with the literature, our findings indicated that sPCa was detected in 40.5% and 33.8% of biopsy-naïve and previous negative biopsy patients, respectively.
In our study, the PI-RADS 3 lesion was the most common lesion detected in the patients (58.9%) and the sPCa detection rates in PI-RADS 3, 4, and 5 lesions were 26.9%, 51.9%, and 59.7%, respectively. In a recent study, Boesen et al. reported that a PI-RADS 4 lesion was the most common lesion detected in the patients (49.5%) and the cancer detection rates for PI-RADS 3, 4, and 5 lesions were 22.2%, 62.7%, and 94.1%, respectively . Although the study found similar cancer detection rates to those of our study, the cancer detection rates for PI-RADS 4 and 5 lesions were remarkably higher than those of our study. This difference could be ascribed to the absence of a limitation for the PSA levels of the patients included in that study and to the higher PSA level in that study compared to that of our study (12.80 (8.9-19.6) ng/ml vs. 7.50 (5.40-9.34) ng/ml. Another recent study, however, reported that the sPCa detection rate was 63% for both PI-RADS 4 and 5 lesions . On the other hand, there are also some other studies that suggest that the sPCa detection rate becomes higher as the PI-RADS grade increases [22-23].
Our results also indicated that ISUP grade 1 was the most common histopathological grade detected in our patients (59.4%). Similarly, a previous study conducted in 2013 evaluated a total of 582 patients and revealed that ISUP grade 1 was the most common histopathological grade . In contrast, a more recent study reported that ISUP grade 2 was the most common histopathological grade detected in the patients . However, the patients included in that study had higher PSA levels compared to those of our patients (12.80 vs. 7.50 ng/ml) and had a higher frequency of PI-RADS 4 lesions compared to that of our patients (49.5% vs. 25.7%). These findings implicate that patients with lower PSA levels are likely to be detected with ISUP grade 1 and 2 tumors.
The cancer detection rate per core is an important parameter in the determination of the ideal biopsy technique. Junker et al. found that the cancer detection rate per core was 10.4% in SPB as opposed to 29.3% in TB . Another study evaluated a total of 175 biopsy-naïve patients and reported that TB, despite being performed with fewer biopsy cores, provided a similar prostate cancer detection to that of SPB . Fourcade et al. presented similar findings and reported that the cancer detection rate per core was 29% in TB and 14.8% in SPB . Our findings were consistent with those reported in the literature and indicated that TB had the highest cancer detection rate per core.
In our study, the CB results were accepted as the reference standard. Accordingly, histopathological upgrading was detected in 18 (25.7%) and seven (10%) of the lesions detected on SPB and TB, respectively. A study conducted in 2018 indicated that tumor upgrading occurred in 16.4% and 31.5% of the patients that underwent TB and SPB . However, another retrospective study revealed these rates as 33% and 44%, respectively . Although these studies have reported different upgrading rates for various biopsy techniques, all the studies converged on the conclusion that TB had lower upgrading rates as compared to other biopsy techniques. The findings of our study were consistent with these findings. However, we detected relatively lower upgrading rates, which could be explained by the fact that histopathological upgrading rates were determined based on the CB results rather than the results obtained by radical prostatectomy, considering that CB results are likely to cause a certain amount of upgrading following radical prostatectomy.
Our study had several key limitations. First, it had a small patient population. Second, upgrading rates were calculated based on the CB results in lieu of the results of radical prostatectomy. Third, patients detected with ASAP and HGPIN were excluded from the study, which might have had a slight effect on the results of the study. Finally, the patients had inadequately short follow-up periods, which prevented the documentation of the long-term outcomes of the patients.
Among the three biopsy techniques evaluated in the study, CB had the highest cancer detection rate. We believe that although TB was introduced into clinical practice based on the hypothesis that “similar cancer detection rates may be attained with fewer cores,” TB could be asserted to have achieved this goal partially and to have given way to the emergence of CB, which, unlike TB, is based on the hypothesis that “more cores can be employed to attain higher cancer detection rates.” Accordingly, it is tempting to consider that the philosophy of CB runs counter to that of TB and thus the philosophy of TB has become unsuccessful. Further large-scale studies are needed to substantiate our findings.
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A Single-center Experience: Does MRI-guided Target Prostate Biopsy Meet Expectations?
Ethics Statement and Conflict of Interest Disclosures
Human subjects: Consent was obtained by all participants in this study. Erciyes University, Medical School Ethics Board issued approval 2014/508. Animal subjects: All authors have confirmed that this study did not involve animal subjects or tissue. Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that no financial support was received from any organization for the submitted work. Financial relationships: All authors have declared that they have no financial relationships at present or within the previous three years with any organizations that might have an interest in the submitted work. Other relationships: All authors have declared that there are no other relationships or activities that could appear to have influenced the submitted work.
Cite this article as:
Demirtaş T, Sönmez G, Tombul Ş T, et al. (November 14, 2019) A Single-center Experience: Does MRI-guided Target Prostate Biopsy Meet Expectations?. Cureus 11(11): e6160. doi:10.7759/cureus.6160
Received by Cureus: November 06, 2019
Peer review began: November 11, 2019
Peer review concluded: November 12, 2019
Published: November 14, 2019
© Copyright 2019
Demirtaş et al. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 3.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.