Multiparametric MRI as a Biomarker of Response to Neoadjuvant Therapy for Localized Prostate Cancer-A Pilot Study

How can healthcare organisations increase doctors' research engagement? A scoping review

PURPOSE

Clinician engagement in research has positive impacts for healthcare, but is often difficult for healthcare organisations to support in light of limited resources. This scoping review aimed to describe the literature on health service-administered strategies for increasing research engagement by medical practitioners.

DESIGN/METHODOLOGY/APPROACH

Medline, EMBASE and Web of Science databases were searched from 2000 to 2021 and two independent reviewers screened each record for inclusion. Inclusion criteria were that studies sampled medically qualified clinicians; reported empirical data; investigated effectiveness of an intervention in improving research engagement and addressed interventions implemented by an individual health service/hospital.

FINDINGS

Of the 11,084 unique records, 257 studies were included. Most (78.2%) studies were conducted in the USA, and were targeted at residents (63.0%). Outcomes were measured in a variety of ways, most commonly publication-related outcomes (77.4%), though many studies used more than one outcome measure (70.4%). Pre-post (38.8%) and post-only (28.7%) study designs were the most common, while those using a contemporaneous control group were uncommon (11.5%). The most commonly reported interventions included Resident Research Programs (RRPs), protected time, mentorship and education programs. Many articles did not report key information needed for data extraction (e.g. sample size).

ORIGINALITY/VALUE

This scoping review demonstrated that, despite a large volume of research, issues like poor reporting, infrequent use of robust study designs and heterogeneous outcome measures limited application. The most compelling available evidence pointed to RRPs, protected time and mentorship as effective interventions. Further high-quality evidence is needed to guide healthcare organisations on increasing medical research engagement.

The presence of intraductal carcinoma of prostate is a risk factor for poor pathologic response in men with high-risk prostate cancer receiving neoadjuvant therapy

OBJECTIVE

To explore the potential association between the presence of intraductal carcinoma of the prostate (IDC-P) on biopsy and pathologic response of primary tumor to neoadjuvant therapy in patients with high-risk prostate cancer.

METHODS

Eighty-five patients with high-risk localized/locally advanced prostate cancer (CaP) who were given 6-month neoadjuvant therapies of androgen deprivation therapy plus docetaxel or abiraterone prior to radical prostatectomy in 2 prospective trials were included in this study. The presence of IDC-P in biopsy pathology was rereviewed by 2 experienced pathologists. Favorable pathologic response was defined as pathologic complete response or minimal residual disease <5 mm on whole-mount histopathology. Characteristics of clinical and biopsy pathology variables were included in univariate and multivariate logistic regression analyses to identify risk factors for the prediction of favorable pathologic response on final pathology.

RESULTS

IDC-P was identified to be present on biopsy pathology of 35 patients (41.2%) while favorable pathologic responses were confirmed in 25 patients (29.4%). Initial prostate-specific antigen (PSA) (OR 3.592, 95% CI 1.176-10.971, P = 0.025) and the presence of IDC-P on biopsy pathology (OR 3.837, 95% CI 1.234-11.930, P = 0.020) were found to be significantly associated with favorable pathologic response in multivariate logistic regression analysis.

CONCLUSION

IDC-P on biopsy pathology was found to be an independent risk factor to predict a poor pathology response of primary CaP to neoadjuvant therapies.

Quantitative diffusion MRI in prostate cancer: Image quality, what we can measure and how it improves clinical assessment

Diffusion-weighted imaging is a dependable method for detection of clinically significant prostate cancer. In prostate tissue, there are several compartments that can be distinguished from each other, based on different water diffusion decay signals observed. Alterations in cell architecture, such as a relative increase in tumor infiltration and decrease in stroma, will influence the observed diffusion signal in a voxel due to impeded random motion of water molecules. The amount of restricted diffusion can be assessed quantitatively by measuring the apparent diffusion coefficient (ADC) value. This is traditionally calculated using a monoexponential decay formula represented by the slope of a line produced between the logarithm of signal intensity decay plotted against selected b-values. However, the choice and number of b-values and their distribution, has a significant effect on the measured ADC values. There have been many models that attempt to use higher-order functions to better describe the observed diffusion signal decay, requiring an increased number and range of b-values. While ADC can probe heterogeneity on a macroscopic level, there is a need to optimize advanced diffusion techniques to better interrogate prostate tissue microstructure. This could be of benefit in clinical challenges such as identifying sparse tumors in normal prostate tissue or better defining tumor margins. This paper reviews the principles of diffusion MRI and novel higher order diffusion signal analysis techniques to improve the detection of prostate cancer.

Artificial intelligence and imaging biomarkers for prostate radiation therapy during and after treatment

Magnetic resonance imaging (MRI) is increasingly used in the management of prostate cancer (PCa). Quantitative MRI (qMRI) parameters, derived from multi-parametric MRI, provide indirect measures of tumour characteristics such as cellularity, angiogenesis and hypoxia. Using Artificial Intelligence (AI), relevant information and patterns can be efficiently identified in these complex data to develop quantitative imaging biomarkers (QIBs) of tumour function and biology. Such QIBs have already demonstrated potential in the diagnosis and staging of PCa. In this review, we explore the role of these QIBs in monitoring treatment response during and after PCa radiotherapy (RT). Recurrence of PCa after RT is not uncommon, and early detection prior to development of metastases provides an opportunity for salvage treatments with curative intent. However, the current method of monitoring treatment response using prostate-specific antigen levels lacks specificity. QIBs, derived from qMRI and developed using AI techniques, can be used to monitor biological changes post-RT providing the potential for accurate and early diagnosis of recurrent disease.

Arguments against using an abbreviated or biparametric prostate MRI protocol

Currently there is a lot of interest in the use of a "biparametric" or "abbreviated" prostate MR protocol, which usually refers to removal of the dynamic contrast-enhanced (DCE) MRI, in the detection of clinically significant prostate cancer. In this article we describe the benefits of DCE as part of the PI-RADS lexicon, with particular reference to its role in PI-RADS V2 category 3 peripheral zone lesions. We also discuss the benefits of triplanar T2-weighted images, and finally discuss how a mpMRI protocol is of benefit in prostate cancer staging, in evaluating for local disease recurrence, and as a biomarker for neoadjuvant therapy response.

Biparametric MRI prior to Radical Radiation Therapy for Prostate Cancer in a Caribbean Population: Implications for Risk Group Stratification and Treatment

PURPOSE

To assess risk-group migration and subsequent management change following biparametric MRI using a risk-stratified approach in a group of Caribbean men with prostate adenocarcinoma being offered external beam radiation therapy (EBRT).

MATERIALS AND METHODS

This retrospective study assessed the biparametric MRI findings in men who opted for EBRT from January 2018 to June 2019 (n = 79; mean age, 67.9 years ± 6.2 [standard deviation]). Serum prostate-specific antigen level, digital rectal examination findings, histologic grade group (GG) from transrectal US-guided biopsy, prior androgen deprivation therapy (ADT), and any prior CT results were used to stratify patients into low-, intermediate-, and high-risk groups, according to the National Comprehensive Cancer Network risk categories. Risk-group stratification prior to MRI separated patients into low- (seven of 79 [8.9%]), intermediate- (36 of 79 [45.6%]) and high-risk (36 of 79 [45.6%]) groups. Following MRI, any risk group (low, intermediate, high, nodal involvement, and metastatic disease) or oncologic management changes were recorded. Multivariable binary logistic regression analyses were used to assess predictor of upgrade status, with adjustment for demographic covariates jointly.

RESULTS

Following MRI, 30 of 79 (38.0%) patients had risk-group upshifts compared with their original assessment. Patients were recategorized into low risk (one of 79, 1.3%), intermediate risk (19 of 79, 24.1%), high risk (51 of 79, 64.6%), nodal involvement (one of 79, 1.3%), and metastatic disease (seven of 79, 8.9%). From the original groupings, there were six of seven (85.7%) from the low group, 18 of 36 (50.0%) from the intermediate group, and six of 36 (16.7%) from the high group that had risk group upward shifts. There was no association with GG: GG2 versus GG1, P = .53; GG3 versus GG1, P = .98; or prior ADT (P = .37) and the adjusted odds of risk-group upshifts. MRI findings resulted in treatment plan modification for 39 of 79 (49.4%) men overall.

CONCLUSION

Prostate MRI should be considered for patients in high-risk populations prior to EBRT because upstaging from MR image assessment may have implications for modification of treatment.Keywords: MR-Imaging, Prostate, Radiation Therapy© RSNA, 2020See the commentary by Davenport and Shankar in this issue.