Abstract
Objectives
To establish and evaluate an ultra-fast MRI screening protocol for prostate cancer (PCa) in comparison to the standard multiparametric (mp) protocol, reducing scan time and maintaining adequate diagnostic performance.
Materials and methods
This prospective single-center study included consecutive biopsy-naïve patients with suspected PCa between December 2022 and March 2023. A PI-RADSv2.1 conform mpMRI protocol was acquired in a 3 T scanner (scan time: 25 min 45 sec). In addition, two deep-learning (DL) accelerated sequences (T2- and diffusion-weighted) were acquired, serving as a screening protocol (scan time: 3 min 28 sec). Two readers evaluated image quality and the probability of PCa regarding PI-RADSv2.1 scores in two sessions. The diagnostic performance of the screening protocol with mpMRI serving as the reference standard was derived. Inter- and intra-reader agreements were evaluated using weighted kappa statistics.
Results
We included 77 patients with 97 lesions (mean age: 66 years; SD: 7.7). Diagnostic performance of the screening protocol was excellent with a sensitivity and specificity of 100%/100% and 89%/98% (cut-off ≥ PI-RADS 4) for reader 1 (R1) and reader 2 (R2), respectively. Mean image quality was 3.96 (R1) and 4.35 (R2) for the standard protocol vs. 4.74 and 4.57 for the screening protocol (p < 0.05). Inter-reader agreement was moderate (κ: 0.55) for the screening protocol and substantial (κ: 0.61) for the multiparametric protocol.
Conclusion
The ultra-fast screening protocol showed similar diagnostic performance and better imaging quality compared to the mpMRI in under 15% of scan time, improving efficacy and enabling the implementation of screening protocols in clinical routine.
Clinical relevance statement
The ultra-fast protocol enables examinations without contrast administration, drastically reducing scan time to 3.5 min with similar diagnostic performance and better imaging quality. This facilitates patient-friendly, efficient examinations and addresses the conflict of increasing demand for examinations at currently exhausted capacities.
Key Points
-
Time-consuming MRI protocols are in conflict with an expected increase in examinations required for prostate cancer screening.
-
An ultra-fast MRI protocol shows similar performance and better image quality compared to the standard protocol.
-
Deep-learning acceleration facilitates efficient and patient-friendly examinations, thus improving prostate cancer screening capacity.
Graphical Abstract
Similar content being viewed by others
Avoid common mistakes on your manuscript.
Introduction
MpMRI serves as the fundamental imaging tool in the diagnostic pathway of PCa and has subsequently been implemented in multiple internationally recognized guidelines [1, 2]. It consists of a multitude of sequences, which enable the reader to rate the examination regarding the likelihood of PCa according to a standardized reporting system (Prostate Imaging Reporting and Data System; PI-RADS), currently in version 2.1 [3]. Categorization then determines further clinical management: PI-RADS scores of > 3 usually entail prostate biopsy, PI-RADS 3 lesions may receive biopsy depending on PSA density (PSAD) [2]. Qualitative imaging features translate into scores according to an evidence-based algorithm, mainly relying on T2-weighted (T2w) sequences and diffusion-weighted imaging (DWI). Whereas high-resolution T2w sequences provide excellent soft tissue contrast and facilitate morphological evaluation, DWI allows functional assessment. T1-weighted sequences offer additional anatomical information and intraprostatic hemorrhage detection. Dynamic contrast-enhanced (DCE) sequences have lost importance as they only impact the score in the case of a PI-RADS 3 lesion of the peripheral zone [3]. Their benefit has further been questioned in a recent prospective study that found a significant decrease of csPCa in DCE-positive PI-RADS 3 lesions compared to PI-RADS 4 lesions, recommending biopsy for PI-RADS 3 and DCE-positive PI-RADS 3 lesions alike only in case of an increased PSAD [4]. Therefore, the implementation of DCE imaging in future iterations of PI-RADS seems debatable.
Extensive multiparametric protocols require a surplus of scan time compared to abbreviated protocols, therefore limiting the capacity for examinations per day. Hence, biparametric (bp) protocols have gained in interest, omitting the DCE sequences and contrast medium (CM)-related adversities. These protocols can be abbreviated even further by reducing T2w sequences to a single plane [5]. Both bp and abbreviated bp protocols have shown similar diagnostic accuracy in the detection of csPCa [6, 7]. Although significantly faster than mpMRI, bp protocols are still time-consuming, mainly due to the long acquisition times of T2w and DWI sequences. This problem has been addressed recently by image reconstruction techniques employing DL networks that improve image quality (reduced image noise, increasing signal-to-noise ratio, increased sharpness) while drastically reducing scan time [8,9,10].
Currently, a rapid increase in MRI examinations for PCa is expected, and screening for PCa is heavily debated as promising effects, such as an increase in the diagnosis of PCa and detection of more localized tumor stages, were observed [11,12,13,14]. Current screening algorithms rely heavily on DRE and PSA levels with limited diagnostic accuracy and a high rate of overdiagnosis of non-csPCa, as well as a blind spot for PSA-negative csPCa [15,16,17]. Consequently, initial studies began to evaluate the benefit of PCa screening by MRI, showing improved diagnosis of csPCa without a gain in overdiagnosis of non-csPCa [18]. This effect was improved even further by the combination of MRI and PSA testing in a larger randomized controlled trial [19], although recent findings suggest that MRI screening may be of value independent of PSA, especially in the case of PSA-negative csPCa, even limiting overdiagnosis triggered by DRE and PSA testing [20].
This emphasizes the potential of MRI as an independent tool in screening for PCa and suggests that mpMRI may provide little diagnostic benefit given the additional time expense compared to abbreviated bp protocols.
We hypothesize that abbreviated bp PCa protocols can dampen the imminent spike in examinations while preserving diagnostic accuracy and improving patient comfort in a screening setting. A significant reduction in scan time could resolve the conflict of an increasing demand for screening examinations and limited capacity in clinical practice. Therefore, the aim of this study was to evaluate the diagnostic performance of an ultra-fast DL accelerated screening protocol compared to a standard multiparametric protocol.
Materials and methods
Study design
This mono-institutional prospective study was approved by the local ethics committee (22–1185) in compliance with the Declaration of Helsinki. It is listed in the German Clinical Trials Register (DRKS-ID: DRKS00029550). Written informed consent was obtained from all patients prior to examination.
Study cohort
Consecutive biopsy-naïve patients that were referred to our department with a clinical suspicion of PCa (positive DRE, PSA-elevation above 4 ng/mL or positive PSA-dynamics of 0.3–0.7 ng/mL/year) between December 2022 and March 2023 were prospectively included in this study. Exclusion criteria were a) prior biopsy or treatment of the prostate, b) known PCa, c) incomplete MRI protocol, d) severe susceptibility or motion artefacts.
MRI protocol
All examinations were performed in one 3-T scanner (MAGNETOM VIDA, Siemens Healthineers) in accordance with the PI-RADSv2.1 recommendations [3]. Patients were examined in a supine position without the use of an endorectal coil. All patients received (macrocyclic non-ionic) intravenous contrast agent with a bolus injection of 0.2 mL/kg body weight (Gadoteridol; 0.5 M, Bracco Imaging) at a flow rate of 2 mL/s, followed by a saline flush (25–30 mL). Scopolamine butylbromide was administered intravenously prior to the exam in order to reduce motion artefacts in the pelvis, if no contraindications were present. The standard mpMRI used in clinical routine consisted of a triplanar T2 TSE, axial DWI with calculated ADC maps and one extrapolated b value, axial T1 DIXON VIBE and DCE sequences (temporal resolution < 5 s). Additionally, research application sequences for DL axial T2w (DL-T2) and DWI (DL-DWI) were acquired prior to administration of CM. Refer to Table 1 for detailed acquisition parameters.
DL reconstruction
For both DL-T2 as well as DL-DWI, the same approach of an unrolled reconstruction was used, following the idea of a variational network [21]. From raw k-space data and precalculated coil sensitivity maps that are provided as input, coil-combined images are formed in an iterative process that alternates between conventional, parallel imaging-based data consistency and DL-based image regularization. Two types of iterations are employed. First, several iterations focusing on data consistency without regularization were employed, followed by iterations, which additionally used a hierarchical down-up network as regularizer. For all iterations, trainable gradient step sizes and Nesterov-type extrapolation were used. T2 and DWI were reconstructed independently with respective implementations using slight variations of this general approach. Training of these two networks was performed offline in a supervised setting using volunteer data from different clinical 1.5-T and 3-T scanners (MAGNETOM, Siemens Healthineers, Erlangen, Germany). Ground truth target images were generated using all acquired k-space data, and the precalculated coil sensitivity maps input data were retrospectively undersampled. After offline training in PyTorch on a Nvidia Tesla V100-SXM2 GPU cluster, the networks were integrated in the scanner’s reconstruction framework.
For TSE, 18 iterations (7 without regularization, 11 with regularization) were executed in total, and training was performed using about 25,000 fully sampled images acquired with different contrasts in different body regions. For DWI, 17 iterations (6 without regularization, 11 with regularization) were executed in total, and training was performed on about 500,000 single-shot DWI images. No information between slices, b-values, or averages was shared. After DL reconstruction, DWI-specific steps, including ADC calculation, trace-weighting, averaging were performed analogous to the standard DWI processing.
Image analysis
Image assessment was performed with a commercially available PACS (DeepUnity, Daedalus). Relevant lesions were annotated by another radiologist (A.N.; 3 years of experience in mpMRI) prior to the reading sessions. Exams were evaluated independently by reader 1 (C.W.; 5 years of experience in mpMRI) and reader 2 (B.O.; 4 years of experience in mpMRI) in two reading sessions. In the first session, only the abbreviated protocol was available. Lesions were assigned a PI-RADS score according to the recommendation “assessment without adequate DCE” of the PI-RADS lexicon [3]. Afterwards, the overall image quality was rated using a five-point Likert scale [22] for a) overall quality, b) subjective image noise, c) clarity of the organ capsule, d) edge sharpness of anatomic boundaries of the prostate, e) microstructure in nodules, f) margin of nodules. Ratings ranged from 1–5 (1 = non-diagnostic; 2 = poor; 3 = moderate; 4 = good; 5 = excellent). In a second reading after two weeks, only the standard protocol was made available for evaluation in random order to reduce biases. Readers were blinded to the results of the first reading. This design was chosen to compare a drastically abbreviated screening protocol to the extensive multiparametric protocol and provoke potential differences in PI-RADS scoring, as there were no additional planes, anatomical T1-weighted images, or DCE sequences available in the first reading. Refer to Fig. 1 for a representative comparison of the standard and the abbreviated protocol.
Statistical analysis
Data analysis was performed with the open-source software R Studio version 4.3.1 [23]. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for the cut-off of PI-RADS ≥ 3 and PI-RADS ≥ 4, using mpMRI as the gold standard. Intra- and inter-observer agreements for PI-RADS scores and image quality were assessed using weighted Cohen’s k statistics to account for random agreement between readers and ordinal variables. A k < 0.21 was considered as poor agreement, 0.21–0.4 as fair agreement, 0.41–0.6 as moderate agreement, 0.61–0.8 as substantial agreement, and 0.81–1 as excellent agreement [24]. Image quality was compared using the Wilcoxon test for non-normal distributed data [25]. p values ≤ 0.05 were considered as statistically significant.
Results
Patients
Eight-eight patients were prospectively enrolled in this study. Seven patients were excluded due to an incomplete MRI protocol, and four patients due to severe artefacts and nondiagnostic imaging. The final cohort consisted of 77 patients with 97 lesions. Mean age was 66 years (range: 50–84; SD: 7.7), median PSA levels were 7.0 ng/mL (IQR: 5.04–9.95). For detailed information, refer to Fig. 2.
Scan time
By reducing the full multiparametric protocol to a minimum of two DL-accelerated sequences, we shortened the total scan time from 25 min 45 sec to 3 min 28 sec (14%). The standard axial T2 TSE took 3 min 54 sec compared to the DL-T2 with 1 min 26 sec (37%). Standard DWI was acquired in 5 min 34 sec compared to 2 min 2 sec (37%) for the ZOOMit sequence.
Image analysis
All included images were read as sufficiently diagnostic regarding quality. Distribution of PI-RADSv2.1 scores for R1 and R2 were as follows: 2 lesions vs. 3 lesions PI-RADS 1, 33 lesions vs. 33 lesions PI-RADS 2, 20 lesions vs. 21 lesions PI-RADS 3, 30 lesions vs. 26 lesions PI-RADS 4, 12 lesions vs. 14 lesions PI-RADS 5 for the abbreviated protocol and 2 lesions vs. 3 lesions PI-RADS 1, 34 lesions vs. 39 lesions PI-RADS 2, 19 lesions vs. 11 lesions PI-RADS 3, 30 lesions vs. 31 lesions PI-RADS 4, 12 lesions vs. 13 lesions PI-RADS 5 for the standard protocol implemented in clinical routine. The sensitivity and specificity of the abbreviated protocol (Cut-off PI-RADS ≥ 3) were 100%/97% for R1 and 98%/83% for R2, respectively. Sensitivity and specificity (cut-off PI-RADS ≥ 4) were 100%/100% for R1 and 89%/98% for R2. For detailed information, refer to Tables 2 and 3. Mean image quality was 4.74 for R1 and 4.57 for R2 for the abbreviated protocol vs. 3.96 and 4.35 for the standard protocol (p < 0.05). Refer to Fig. 3 and Table 4 for detailed information.
Inter-reader agreement
Inter-reader agreement was moderate (κ: 0.55; 95CI: 0.43–0.68) for the screening protocol and substantial (κ: 0.61; 95CI: 0.49–0.74) for the mp protocol. Intra-reader agreement was excellent (κ: 0.98; 95CI: 0.96–1) for R1 and substantial (κ: 0.79; 95CI: 0.69–0.89) for R2.
Discussion
We evaluated the diagnostic performance and quality of an ultra-fast DL accelerated screening protocol in biopsy-naïve men compared to a standard mp protocol as used in the current clinical routine. The abbreviated bp protocol was considered diagnostic in all patients and showed no significant difference in diagnostic performance compared to the mp protocol. Furthermore, the image quality of the abbreviated protocol was rated as better by both readers. Those results are in line with several studies which evaluated DL-sequences for MRI of the prostate, although neither evaluated an entirely DL-accelerated screening protocol but merely individual DL-accelerated sequences or DL-accelerated sequences as part of a conventional protocol [26,27,28,29].
Considering the standard mp protocol as the reference standard, both sensitivity and specificity were excellent for R1. These results are also reflected by Kuhl et al who found similar diagnostic accuracy for abbreviated bpMRI and mpMRI. Only one additional csPCa was detected in mpMRI compared to bpMRI as opposed to 11 additional false-positive diagnoses [30]. Van der Leest et al found that an abbreviated biparametric protocol resulted in a surplus of 2% in biopsies and 1% overdetection of low-grade PCa compared to the standard protocol with similar sensitivity (95%) and a slightly lower specificity (65% compared to 69%) in 626 patients [31].
Employing a cut-off of PI-RADS ≥ 3, R2 achieved an equally high sensitivity at the cost of specificity (98%/83%). An adverse effect was observed regarding a threshold of PI-RADS ≥ 4, lacking sensitivity instead (89%/98%). This effect may be due to slightly less experience in reporting prostate MRI [32]. Coherently, this is reflected in inter-reader agreement, showing only substantial agreement between readers at most (κ: 0.61), whereas intra-reader agreement was substantial to excellent. This implies that different PI-RADS scores between readers most likely emerge from varying interpretations of lesion characteristics rather than from differences in image quality. Additionally, we observed an unequal distribution of PI-RADS scores in both the abbreviated and the mp protocol for both readers (refer to Table 3). In particular, barely any PI-RADS 1 lesions and only a few PI-RADS 5 lesions were included. This limits generalizability for PI-RADS 1 lesions but implies robust diagnostic performance for PI-RADS 2–4 lesions. These lesions tend to be most debatable in clinical practice due to the possibility of an upgrade in case of positive DCE or higher DWI categories. Heterogeneity in the distribution of PI-RADS scores between readers was higher in the mp protocol. This finding was to be expected as the mp protocol offers more options to inspect the lesion in its three-dimensional shape and to upgrade scores via DCE.
We consider that enhanced image quality is mainly due to the reconstruction of the DL-algorithm, but also critically related to the reduced acquisition time, resulting in less motion artefacts [33]. We used the resolve DWI as a reference, as it serves as our routine sequence for prostate exams. To find a shorter alternative sequence a single shot EPI technique was chosen, which is more time efficient compared to the segmented readout resolve acquisition. By integrating a DL reconstruction in the EPI sequence scan time could be even further cut down. Besides the reduction of motion artefacts another potential benefit of the reduction of scan time is an increase in patient comfort and compliance, especially valuable in an elder patient collective as laying still becomes an increasing problem during the examination period [34, 35]. Abbreviated protocols are especially suitable for specific indications that do not require extensive three-dimensional information or contrast enhancement, e.g., screening for PCa. This offers higher MRI throughput with increased expediency at a potentially lower cost per examination, given the indication is chosen correctly [36]. However, single-planar protocols may not suffice for a more detailed anatomical evaluation of the tumor, potential extracapsular growth, or local staging [37, 38]. Adequate resolution in a single axial plane already resolved issues of volume measuring or co-registration of the gland for targeted biopsy in our institution, although abbreviated protocols have yet to be evaluated thoroughly for tumor segmentation prior to local therapy, follow-up examinations and assessment of local tumor recurrence [39]. Another disadvantage of providing more than one standard protocol or even numerous variants is a potential increase in the complexity of protocol selection within the clinical workflow, possibly resulting in inadequate examinations [40]. Furthermore, indefinite results of abbreviated protocols and recall of patients for additional examinations may limit their acceptance. Consequently, in order to exploit the advantages of shorter scan times, clinical workflows, as well as indications for examinations need to be further refined [41].
Although carried out prospectively, the study was conducted in a single centre setting with a relatively small cohort. Furthermore, seven patients were excluded due to incomplete scans and four patients due to severe artefacts. While effects from incomplete scans represent a random error and artefacts affected both the abbreviated and the multiparametric protocol and effects, this might slightly distort the initial cohort and limit generalizability further. Despite the fact that these initial results suggest a benefit in image quality and imaging efficiency at an adequate diagnostic performance, external validation is required, ideally in a multi-center setting.
As we compared slightly different sequence types of DWI (readout-segmented DWI, in this case, RESOLVE as currently implemented standard vs. ZOOMit single shot EPI), direct comparability might be limited. In the ZOOMit sequence, regions outside of the field of view do not contribute to the gathered MR signal, therefore preventing infolding of signals outside of the field of view. Consequently, motion artefacts are reduced to a minimum [42]. A recent study by Klingebiel et al suggests sufficient comparability as they showed that zoomed sequences outperformed conventional multi-shot readout sequences regarding objective image quality [43].
Omitting DCE sequences in the abbreviated protocol might hinder the upgrade of PI-RADS 3 scores to PI-RADS 4 in the peripheral zone compared to the multiparametric protocol. However, recent evidence suggests limited benefit of upgrading those lesions as they seem to yield significantly less csPCa compared to PI-RADS 4 lesions that were not upgraded (14.5% csPCa in PI-RADS 3 with positive DCE and 53.3% csPCa in PI-RADS 4 lesions) and decrease detection rates for csPCa [4]. The authors suggest reconsidering the current scoring categorization and propose to set the indication for biopsy according to the PSAD for PI-RADS 3 lesions with positive and negative DCE alike. These findings generally question the implementation of DCE imaging in PI-RADS scoring but even more so justify the omission in a screening setting as a tradeoff for efficiency.
Furthermore, we compared the abbreviated protocol to the current gold standard for imaging of PCa (mpMRI) without histopathological confirmation, so we could only evaluate diagnostic performance but not diagnostic accuracy. Although we found no significant difference between the abbreviated and the standard protocol and similar results can be expected, validation studies are desirable. Currently, there is a general lack of evidence in the comparison of abbreviated and standard protocols, requiring further research. Moreover, additional investigation of implementation and practicability in clinical routine and cost-effectiveness will be necessary.
In conclusion, an abbreviated screening protocol for prostate cancer in biopsy-naïve men proved similar diagnostic performance and better imaging quality compared to the conventional multiparametric protocol, requiring less than 15% of scan time. This results in a major improvement in imaging efficacy, enabling the implementation of screening protocols in clinical routine.
Abbreviations
- ADC:
-
Apparent diffusion coefficient
- Bp:
-
Biparametric
- CM:
-
Contrast medium
- DCE:
-
Dynamic contrast enhanced
- DL:
-
Deep learning
- DRE:
-
Digital rectal examination
- DWI:
-
Diffusion weighted imaging
- Mp:
-
Multiparametric
- MRI:
-
Magnet resonance imaging
- PCa:
-
Prostate cancer
- PI-RADS:
-
Prostate Imaging Reporting and Data System
- PSA:
-
Prostate specific antigen
- PSAD:
-
Prostate specific antigen density
- R:
-
Reader
- T2w:
-
T2-weighted
- TSE:
-
Turbo Spin Echo
References
Eastham JA, Auffenberg GB, Barocas DA et al (2022) Clinically localized prostate cancer: AUA/ASTRO guideline, part I: introduction, risk assessment, staging, and risk-based management. J Urol 208:10–18
EAU Guidelines. Edn. presented at the EAU Annual Congress Milan 2023. ISBN 978-94-92671-19-6.
Turkbey B, Rosenkrantz AB, Haider MA et al (2019) Prostate Imaging reporting and data system version 2.1: 2019 update of prostate imaging reporting and data system version 2. Eur Urol 76:340–351
Messina E, Pecoraro M, Laschena L et al (2023) Low cancer yield in PI-RADS 3 upgraded to 4 by dynamic contrast-enhanced MRI: is it time to reconsider scoring categorization? Eur Radiol 33:5828–5839
Hötker AM, Vargas HA, Donati OF (2022) Abbreviated MR protocols in prostate MRI. Life (Basel) 12:552
Bass EJ, Pantovic A, Connor M et al (2021) A systematic review and meta-analysis of the diagnostic accuracy of biparametric prostate MRI for prostate cancer in men at risk. Prostate Cancer Prostatic Dis 24:596–611
Brembilla G, Giganti F, Sidhu H et al (2022) Diagnostic accuracy of abbreviated bi-parametric MRI (a-bpMRI) for prostate cancer detection and screening: a multi-reader study. Diagnostics (Basel) 12:231
Ueda T, Ohno Y, Yamamoto K et al (2022) Deep learning reconstruction of diffusion-weighted MRI improves image quality for prostatic imaging. Radiology 303:373–381
Ursprung S, Herrmann J, Joos N et al (2023) Accelerated diffusion-weighted imaging of the prostate using deep learning image reconstruction: A retrospective comparison with standard diffusion-weighted imaging. Eur J Radiol 165:110953
Johnson PM, Tong A, Donthireddy A et al (2022) Deep learning reconstruction enables highly accelerated biparametric MR imaging of the prostate. J Magn Reson Imaging 56:184–195
Giganti F, Rosenkrantz AB, Villeirs G et al (2019) The evolution of MRI of the prostate: the past, the present, and the future. AJR Am J Roentgenol 213:384–396
Grossman DC, Curry SJ, Owens DK et al (2018) Screening for prostate cancer: US preventive services task force recommendation statement. JAMA 319:1901–1913
Ilic D, Djulbegovic M, Jung JH et al (2018) Prostate cancer screening with prostate-specific antigen (PSA) test: a systematic review and meta-analysis. BMJ 362:k3519
Hugosson J, Roobol MJ, Månsson M et al (2019) A 16-yr Follow-up of the european randomized study of screening for prostate cancer. Eur Urol 76:43–51
Naji L, Randhawa H, Sohani Z et al (2018) Digital rectal examination for prostate cancer screening in primary care: a systematic review and meta-analysis. Ann Fam Med 16:149–154
Loeb S, Bjurlin MA, Nicholson J et al (2014) Overdiagnosis and overtreatment of prostate cancer. Eur Urol 65:1046–1055
Thompson IM, Pauler DK, Goodman PJ et al (2004) Prevalence of prostate cancer among men with a prostate-specific antigen level < or =4.0 ng per milliliter. N Engl J Med 350:2239–2246
Eldred-Evans D, Burak P, Connor MJ et al (2021) Population-based prostate cancer screening with magnetic resonance imaging or ultrasonography: the IP1-PROSTAGRAM study. JAMA Oncol 7:395–402
Hugosson J, Månsson M, Wallström J et al (2022) Prostate cancer screening with PSA and MRI followed by targeted biopsy only. N Engl J Med 387:2126–2137
Caroline MM, Elena F, Neil M et al (2023) Prevalence of MRI lesions in men responding to a GP-led invitation for a prostate health check: a prospective cohort study. BMJ Oncology 2:e000057
Hammernik K, Klatzer T, Kobler E et al (2018) Learning a variational network for reconstruction of accelerated MRI data. Magn Reson Med 79:3055–3071
Likert R (1932) A technique for the measurement of attitudes. Archives Psychol. 22:55
Team RC (2023) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria
Landis JR, Koch GG (1977) The measurement of observer agreement for categorical data. Biometrics 33:159–174
Bauer DF (1972) Constructing confidence sets using rank statistics. J Am Stat Assoc 67:687–690
Gassenmaier S, Afat S, Nickel D, Mostapha M, Herrmann J, Othman AE (2021) Deep learning-accelerated T2-weighted imaging of the prostate: Reduction of acquisition time and improvement of image quality. Eur J Radiol 137:109600
Park JC, Park KJ, Park MY, Kim M-h, Kim JK (2022) Fast T2-weighted imaging with deep learning-based reconstruction: evaluation of image quality and diagnostic performance in patients undergoing radical prostatectomy. J Magn Reson Imaging 55:1735–1744
Bischoff LM, Peeters JM, Weinhold L et al (2023) Deep learning super-resolution reconstruction for fast and motion-robust T2-weighted prostate MRI. Radiology 308:e230427
Tong A, Bagga B, Petrocelli R et al (2023) Comparison of a deep learning-accelerated vs. conventional T2-weighted sequence in biparametric MRI of the prostate. J Magn Reson Imaging 58:1055–1064
Kuhl CK, Bruhn R, Krämer N, Nebelung S, Heidenreich A, Schrading S (2017) Abbreviated biparametric prostate MR imaging in men with elevated prostate-specific antigen. Radiology 285:493–505
van der Leest M, Israël B, Cornel EB et al (2019) High diagnostic performance of short magnetic resonance imaging protocols for prostate cancer detection in biopsy-naïve men: the next step in magnetic resonance imaging accessibility. Euro Urol 76:574–581
Pavlou A, Kurtz RM, Song JW (2021) Diagnostic accuracy studies in radiology: how to recognize and address potential sources of bias. Radiol Res Pract 2021:5801662
Zaitsev M, Maclaren J, Herbst M (2015) Motion artifacts in MRI: a complex problem with many partial solutions. J Magn Reson Imaging 42:887–901
Oztek MA, Brunnquell CL, Hoff MN et al (2020) Practical considerations for radiologists in implementing a patient-friendly MRI experience. Top Magn Reson Imaging 29:181–186
Brunnquell CL, Hoff MN, Balu N, Nguyen XV, Oztek MA, Haynor DR (2020) Making magnets more attractive: physics and engineering contributions to patient comfort in MRI. Top Magn Reson Imaging 29:167–174
Mezrich JL, Weinreb JC (2022) Financial and medicolegal implications of focused/fast abdominopelvic MRI exams. Abdom Radiol (NY) 47:471–474
Appayya MB, Johnston EW, Punwani S (2015) The role of multi-parametric MRI in loco-regional staging of men diagnosed with early prostate cancer. Curr Opin Urol 25:510–517
Gupta RT, Spilseth B, Patel N, Brown AF, Yu J (2016) Multiparametric prostate MRI: focus on T2-weighted imaging and role in staging of prostate cancer. Abdom Radiol (NY) 41:831–843
Franco FB, Fennessy FM (2020) Arguments against using an abbreviated or biparametric prostate MRI protocol. Abdom Radiol (NY) 45:3982–3989
Grimm LJ, Mango VL, Harvey JA, Plecha DM, Conant EF (2022) Implementation of abbreviated breast MRI for screening: AJR expert panel narrative review. AJR Am J Roentgenol 218:202–212
O’Brien JJ, Stormann J, Roche K et al (2017) Optimizing MRI logistics: focused process improvements can increase throughput in an academic radiology department. AJR Am J Roentgenol 208:W38–w44
Blasche M, Riffel P, Lichy M (2012) TimTX TrueShape and syngo ZOOMit technical and practical aspects. Magnetom Flash 1:104–134
Klingebiel M, Weiland E, Boschheidgen M et al (2023) Improved diffusion-weighted imaging of the prostate: comparison of readout-segmented and zoomed single-shot imaging. Magn Reson Imaging 98:55–61
Acknowledgements
Siemens Healthineers developed the abbreviated sequences of the screening protocol and provided help in clinical implementation.
Funding
The authors state that this work has not received any funding. Open Access funding enabled and organized by Projekt DEAL.
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Guarantor
The scientific guarantor of this publication is PD Dr. Jakob Benedikt Weiß.
Conflict of interest
The authors of this manuscript declare relationships with the following companies: Siemens Healthineers developed the abbreviated sequences of the screening protocol and provided help in clinical implementation. The vendor had neither part in data management nor data analysis. There were no financial compensations.
Statistics and biometry
Multiple authors have significant statistical expertise, although no complex statistical methods were necessary for this paper.
Informed consent
Written informed consent was obtained from all patients in this study.
Ethical approval
Approval from the local Institutional Review Board was obtained.
Study subjects or cohorts overlap
None of the included patients have been reported on before.
Methodology
-
Prospective
-
Diagnostic study
-
Performed at one institution
Additional information
Publisher’s Note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
About this article
Cite this article
Oerther, B., Engel, H., Nedelcu, A. et al. Performance of an ultra-fast deep-learning accelerated MRI screening protocol for prostate cancer compared to a standard multiparametric protocol. Eur Radiol (2024). https://doi.org/10.1007/s00330-024-10776-7
Received:
Revised:
Accepted:
Published:
DOI: https://doi.org/10.1007/s00330-024-10776-7