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Importantly, a large randomised controlled trial comparing

all three techniques of MRI-GB is underway

[43]

.

3.7.2.

Strengths and limitations

The number of studies investigating MRI-GB was quite

large, but there was considerable heterogeneity in the

applied methodology. The majority of studies report on

subsequent cohorts of patients undergoing target biopsy

procedures. The number of studies that applied a compara-

tive test (such as TRUS-GB) in conjunction with target

biopsy is limited. And finally, the quality of MRI acquisition

seems to demonstrate significant heterogeneity, directly

influencing the outcome of MRI-GB.

The major strength of this meta-analysis is that all

included studies have used MRI acquisition protocols in

accordance to the latest imaging guidelines, hereby safe-

guarding some level of homogeneity in the selection

procedure for subsequent MRI-GB. Furthermore, only

studies performing both MRI-GB and TRUS-GB within the

same population were included in the meta-analysis. As a

consequence the number of eligible studies was limited,

especially for MRI-TB where lack of simultaneous TRUS-GB

seems to be most common.

The heterogeneous usage of definitions for csPCa

incorporating PSA (density), clinical stage, and histology

among the different series is a major concern for this

current meta-analysis and even more so because most

definitions have their origin in the systematic biopsy

setting. As such they are, at least partially, based on

variables such as cancer core length, and number of positive

cores and therefore might significantly overestimate the

number of detected csPCa in a targeted biopsy setting.

Consequently commonly used definitions such as the

Epstein criteria seem to become outdated, whereas new

generally accepted criteria have yet to be formulated for

MRI-GB. Of the 14 studies used for the analysis on csPCa in

this systematic review, only three used a definition of csPCa

solely based on the presence of a Gleason 4 component on

biopsy

[42,44,45] .

Furthermore, the method of MRI evaluation and the

applied threshold for MRI-GB seems to demonstrate

heterogeneity. This will directly impact tumour detection

yields, as studies that incorporate patients with benign

findings on MRI will demonstrate lower tumour yields

than studies that only incorporate patients with very

suspicious findings on MRI. Potentially the PIRADS grading

system can solve this problem, but it was only introduced

several years ago. Therefore, to date, the number of studies

using this grading system is limited. Thirdly, we found

significant variation concerning biopsy conduct, especially

concerning comparative testing. Not only did the number of

cores on TRUS-GB vary, but also whether systematic biopsy

was performed prior to or following MRI-GB. Moreover

several techniques of FUS-TB are commercially available,

and this variation can impact accuracy of targeting. Rigid

image fusion (where the MRI prostate contour is projected

over the TRUS image, and used to match landmarks during

the planning phase of biopsy) is likely to be less accurate

when compared to elastic image fusion (where the prostate

is contoured on both the MRI and the TRUS image, and the

contours are fused correcting for prostate deformation and

movement during the entire biopsy procedure)

[32]

. Finally,

the absence of lesion specific descriptive characteristics,

such as size, in the majority of studies limits the ability to

perform accurate comparison of the various MRI-GB

techniques. If only larger lesions are biopsied, this may

negatively affect the potential of MRI-TB.

A cursory repeat search on December 15, 2015 identified

another four major relevant publications

[46–49] .

All

studies performed MRI-GB in conjunction with TRUS-GB.

Three studies used FUS-TB, and one paper used MRI-TB to

performMRI-GB in patients at risk for PCa. The three studies

using FUS-TB concluded that MRI-GB detects more csPCa

compared with TRUS-GB while decreasing the detection of

clinically insignificant PCa

[46,48,49]

. Although one paper

did conclude that omitting TRUS-GB would miss some

clinically significant cancers

[46]

. The fourth paper per-

formed MRI-TB in conjunction with TRUS-GB in biopsy

naı¨ve patients. The authors concluded that MRI-GB and

TRUS-GB have equivalent high detection yields, although

MRI-GB required significantly less biopsy cores compared

with TRUS-GB to accomplish this diagnostic yield

[47]

. These results are in accordance with the findings

of this current meta-analysis, and are summarised in

Appendix 2.

4.

Conclusions

In men at risk for PCa who have tumour suspicious lesions

on MRI, subsequent MRI-GB of these lesions demonstrates

similar overall tumour detection rates compared with

systematic TRUS-GB, although the incidence of PCa is

increased in targeted cores when compared with systematic

cores. Moreover, the sensitivity of MRI-GB is increased for

the detection of csPCa, and decreased for clinically

insignificant PCa when compared with TRUS-GB.

Based on the studies included in this meta-analysis MRI-

TB demonstrates a superior performance in overall PCa

detection when compared with COG-TB. For overall PCa

detection and detection of csPCa, FUS-TB has a similar

performance compared with MRI-TB. The current number

of randomised controlled trials performing a head-to-head

comparison of the various techniques for MRI-GB is limited

and comparative analysis is restricted by the absence of

data on lesion characteristics.

Author contributions:

Olivier Wegelin had full access to all the data in the

study and takes responsibility for the integrity of the data and the

accuracy of the data analysis.

Study concept and design:

Wegelin, van Melick, Somford, Barentsz, Bosch.

Acquisition of data:

Wegelin.

Analysis and interpretation of data:

Wegelin, van Melick, Somford, Hooft,

Reitsma, Barentsz, Bosch.

Drafting of the manuscript:

Wegelin, van Melick, Somford, Hooft, Reitsma,

Barentsz, Bosch.

Critical revision of the manuscript for important intellectual content:

Wegelin, van Melick, Somford, Hooft, Reitsma, Barentsz, Bosch.

Statistical analysis:

Wegelin, Reitsma, Hooft.

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