Table of Contents Table of Contents
Previous Page  315 320 Next Page
Information
Show Menu
Previous Page 315 320 Next Page
Page Background

Words of Wisdom

Re: Diagnostic Accuracy of Multi-parametric Magnetic

Resonance Imaging and Transrectal Ultrasound Biopsy

in Prostate Cancer (PROMIS): A Paired Validating

Confirmatory Study

Ahmed HU, El-Shater Bosaily A, Brown LC, et al

Lancet 2017;389:815–22

Experts’ summary:

In this prospective, multicenter, paired-cohort study

[1] ,

the

authors evaluated the utility of multi-parametric magnetic

resonance imaging (MP-MRI) as a gateway-test to invasive

testing in men with elevated prostate-specific antigen (PSA).

They also compared the diagnostic accuracies of MP-MRI and

transrectal ultrasound guided biopsy (TRUS-biopsy) in detect-

ing clinically significant prostate cancer that was defined as

Gleason score 4 + 3 or a cancer core length 6 mm or longer.

The accuracy of both tests was vetted against template prostate

mapping biopsy (TPM-biopsy). A total of 576 biopsy-naı¨ve men

underwent MP-MRI, TRUS-biopsy, and TPM-biopsy. On TPM-

biopsy, 71% (

n

= 408) of men had cancer, with 40% (

n

= 230)

harboring clinically significant disease. For clinically significant

cancer, MP-MRI was more sensitive (93%) than TRUS-biopsy

(48%,

p

<

0.0001) and less specific (41% for MP-MRI vs 96% for

TRUS-biopsy,

p

<

0.0001).

Experts’ comments:

The authors are applauded for conducting this timely and

important study. The study answers several vital questions:

(1) is MP-MRI a better screening tool than TRUS-biopsy for

detecting clinically significant prostate cancer—yes indeed;

the authors demonstrate that in biopsy-naı¨ve men with ele-

vated PSA, the MP-MRI did a much better job of catching

clinically significant disease than the TRUS-biopsy (see sensi-

tivities above), (2) is a 1.5-Tesla MR without endorectal coil

capable of detecting clinically meaningful lesions with high

sensitivity—yes absolutely; utilizing several different defini-

tions of clinically significant prostate cancer, the authors

showed that the detection sensitivities for the 1.5-Tesla

MP-MRI ranged between 87% and 93%, much higher than

those for the TRUS-biopsy (48–60%,

p

<

0.0001), (3) can the

results of an expert center be generalized to community

practice—yes again; provided that strict quality control mea-

sures for image acquisition, and uniform and fastidious train-

ing for radiologists is undertaken across all centers, and finally

(4) can/should MP-MRI be used as a triage test to invasive

testing in men with elevated PSA—based on aforementioned

data, probably yes. At our institution, we are adopting this

paradigm, and also utilizing MP-MRI in managing patients on

active surveillance.

Among the questions that come to mind next, and are

unanswered, the more obvious are those related to the

issues of healthcare economics and dissemination of new

technology such as cost-effectiveness, availability of the

test to all, development of validated training curricula for

the radiologists, etc. The more important questions,

however, two in particular, are those regarding the poor

specificity and definition of radiological significance. It is

not lost on the writers that the MP-MRI here is being

assessed as a screening test, but the question of poor

specificity remains, as it affects the burden of unnecessary

biopsies. In this regard, would use of a 3-Tesla MR help, and/

or is there a role for image-learning iterative computational

systems, both of which have been shown to improve signal-

to-noise ratio

[2,3]

. From a radiological significance

standpoint, is Prostate Imaging Reporting and Data System

(PIRADS)-3 category, defined as ‘‘equivocal risk,’’ being

abused as a diagnostic safe haven—PIRADS-3 (or a Likert

score 3) was the most commonly diagnosed radiographic

lesion (

n

= 163 of 576) in the study, which adds little value to

patient care on account of being equivocal—should thus the

PIRADS classification be altered along the lines of the

2004 update of 1973 World Health Organization noninva-

sive urothelial cancer classification

[4]

to encourage

unequivocality. The answers to these questions hopefully

will come with new research, and experience. Starting the

dialogue was important, which this study has, with resound.

Conflicts of interest:

Firas Abdollah is an advisor for Genome Dx. Akshay

Sood is a member of the IDEAL collaboration at University of Oxford.

References

[1]

Ahmed HU, El-Shater Bosaily A, et al. Diagnostic accuracy of multi- parametric MRI and TRUS biopsy in prostate cancer (PROMIS): a paired validating confirmatory study. Lancet 2017;389:815–22

.

[2]

Chow N, Hwang KS, Hurtz S, et al. Comparing 3T and 1.5T MRI for mapping hippocampal atrophy in the Alzheimer’s Disease Neuro- imaging Initiative. AJNR Am J Neuroradiol 2015;36:653–60. E U R O P E A N U R O L O G Y 7 2 ( 2 0 1 7 ) 3 1 5 – 3 2 0

ava ilable at

www.sciencedirect.com

journal homepage:

www.eu ropeanurology.com

0302-2838/