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false negatives and true negatives, in order to calculate NPV

(ie, results of systematic/standard prostate biopsies when

the mpMRI was negative). When available, false positive

and true positive findings were also noted to calculate the

positive predictive value (PPV) and the cancer prevalence.

There was restriction neither on the biopsy technique

(transrectal or transperineal) nor on the number of biopsy

cores. Studies using radical prostatectomy specimens as

reference standards were excluded, as were studies

evaluating men with histologically proven PCa. Studies

with less than 50 participants were excluded. No language

restrictions were applied.

2.4.

Data collection and data extraction

Two reviewers (P.C.M. and T.V.D.B.) independently

screened all abstracts and full-text articles for eligibility.

Disagreement was resolved by consensus or reference to an

independent third party (L.M.). All screening was performed

using a predefined eligibility form.

Using a data extraction form developed a priori, the same

two reviewers independently extracted data concerning

study methodology, patient characteristics, technical char-

acteristics of the MR scanners, mpMRI protocol, mpMRI

scoring system, definition of positive mpMRI, biopsy

protocol, and definition of csPCa. Any discrepancies

concerning data extraction were resolved by consensus or

reference to an independent arbiter (O.R. or T.B.L.).

2.5.

Assessment of risk of bias

To assess the risk of bias (RoB), all included reports were

reviewed using the Quality Assessment of Diagnostic

Accuracy Studies (QUADAS-2) tool for diagnostic accuracy

studies

[10] .

2.6.

Data synthesis and analysis

Outcome data regarding false negative and true negative

values of mpMRI before prostate biopsy were recorded as

reported by authors. When not available, data were

indirectly derived from specificity, sensitivity, and preva-

lence values reported by authors using an online Bayesian

statistics calculator

( http://www.medcalc.com/bayes.html

).

Descriptive statistics were used to summarise baseline

characteristics and outcomes, including median and inter-

quartile range (IQR) for estimates of NPV across studies. A

correlation between mpMRI NPV and a positive biopsy rate

was established using the Pearson’s correlation coefficient.

A meta-analysis was undertaken to calculate pooled NPV

and PPV. To ensure appropriate clinical homogeneity of the

studies included in the meta-analysis, we selected only the

studies enrolling biopsy-naı¨ve patients and/or patients with

a history of negative biopsy, and fulfilling the following

criteria that were defined a priori: (1) reference standard

consisting of prostate biopsy with at least 10 samples on all

patients; (2) mpMRI protocol comprising at least T2WI and

DWI; (3) mpMRI results presented as a five-level score,

using a subjective Likert scale or the Prostate Imaging

Reporting Data System (PI-RADS) score

[11]

; (4) definition

of positive mpMRI as a score 3/5 or 4/5; and (5) results

reported on a per patient basis. In addition, only studies

defining csPCa as Gleason 7 cancers were selected for the

meta-analysis assessing the mpMRI NPV for csPCa. A

bivariate random-effects approach was employed using

the Midas package in Stata 12 (StataCorp LP, College Station,

TX, USA). Since the NPV decreases and the PPV increases as

the prevalence increases, post-test probability estimates of

NPV and PPV were reported for the given values of the

prevalence based on Bayes’ theorem.

For other studies not included in the meta-analysis based

on the criteria described above, a narrative synthesis of the

data was performed. To explore and define clinical

heterogeneity, subgroups were analysed at patient level

based on the following variables: biopsy-naı¨ve versus

previous negative biopsy; patients with positive versus

negative digital rectal examination (DRE); mpMRI per-

formed with an endorectal versus without an endorectal

coil; transrectal ultrasound (TRUS) versus template trans-

perineal (TTP) biopsy approach; and 16 cores versus

>

16 cores as the reference standard. Studies reporting

mpMRI NPV for patients with a prostate-specific antigen

(PSA) level of 10 ng/ml were also reported separately.

3.

Evidence synthesis

3.1.

Quantity of evidence identified

The study selection process is depicted in the PRISMA flow

diagram

( Fig. 1 )

. A total of 2980 abstracts were retrieved.

After abstract screening and removal of duplicates,

240 articles were eligible for full text screening, of which

48 studies were eligible for inclusion

[12–59] .

3.2.

Quality of studies

Out of the 48 included studies, 42 were single-centre and six

were multicentre studies. Thirty-four studies were pro-

spective and six were retrospective, whilst the design of the

rest was unclear. RoB assessment using QUADAS-2 was

performed for each of the individual studies

( Fig. 2 A

and B).

Overall, the RoB was highly heterogeneous across studies

for all criteria, except for the reference standard domain, in

which RoB was low in most studies.

3.3.

Characteristics of studies

The 48 studies comprised a total of 9613 men who

underwent prostate mpMRI followed by biopsy. The study

and patient baseline characteristics are presented in

Table 1 .

The patient population consisted of biopsy-naive

men in nine studies, men with at least one previous negative

biopsy in 16 studies, and both biopsy-naı¨ve men and men

with a history of previous negative biopsy in nine studies. In

14 studies, the biopsy history of the patients was unclear.

The magnetic field strength was 1, 1.5, and 3 T in one, 28,

and 15 studies, respectively. Four studies used both 1.5 and

3 T MR systems. DWI and DCEI were used in 36 and

E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 2 5 0 – 2 6 6

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