Lucas Regis

Dr. Lucas Regis

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Research Focus & Metrics

Academic Career Length

15Years (2012-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 March 2022 in Cancers
Verified
Journal Article
Open access
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JMJuan Morote
Juan Morote
ABAngel BORQUE-FERNANDO
Angel BORQUE-FERNANDO
MTMarina Triquell
Marina Triquell
ACAnna Celma
Anna Celma
LRLucas Regis
Lucas Regis
EHEnrique Trilla Herrera
Enrique Trilla Herrera
A new and externally validated MRI-PM for csPCa was developed in the metropolitan area of Barcelona, and a web-RC designed with the new option of selecting the csPCa probability threshold. The development cohort comprised 1486 men scheduled to undergo a 3-tesla multiparametric MRI (mpMRI) and guided and/or systematic biopsies in one academic institution of Barcelona. The external validation cohort comprised 946 men in whom the same diagnostic approach was carried out as in the development cohort, in two other academic institutions of the same metropolitan area. CsPCa was detected in 36.9% of men in the development cohort and 40.8% in the external validation cohort (p = 0.054). The area under the curve of mpMRI increased from 0.842 to 0.897 in the developed MRI-PM (p < 0.001), and from 0.743 to 0.858 in the external validation cohort (p < 0.001). A selected 15% threshold avoided 40.1% of prostate biopsies and missed 5.4% of the 36.9% csPCa detected in the development cohort. In men with PI-RADS <3, 4.3% would be biopsied and 32.3% of all existing 4.2% of csPCa would be detected. In men with PI-RADS 3, 62% of prostate biopsies would be avoided and 28% of all existing 12.4% of csPCa would be undetected. In men with PI-RADS 4, 4% of prostate biopsies would be avoided and 0.6% of all existing 43.1% of csPCa would be undetected. In men with PI-RADS 5, 0.6% of prostate biopsies would be avoided and none of the existing 42.0% of csPCa would be undetected. The Barcelona MRI-PM presented good performance on the overall population; however, its clinical usefulness varied regarding the PI-RADS category. The selection of csPCa probability thresholds in the designed RC may facilitate external validation and outperformance of MRI-PMs in specific PI-RADS categories.

29 September 2022 in Cancers
Verified
Journal Article
Open access
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MTMarina Triquell
Marina Triquell
MCMiriam Campistol
Miriam Campistol
ACAna Celma
Ana Celma
LRLucas Regis
Lucas Regis
MSMercè Cuadras Solé
Mercè Cuadras Solé
JMJuan Morote
Juan Morote
MRI can identify suspicious lesions, providing the semi-quantitative risk of csPCa through the Prostate Imaging-Report and Data System (PI-RADS). Predictive models of clinical variables that individualise the risk of csPCa have been developed by adding PI-RADS score (MRI-PMs). Our objective is to analyse the current developed MRI-PMs and define their clinical usefulness. A systematic review was performed after a literature search performed by two independent investigators in PubMed, Cochrane, and Web of Science databases, with the Medical Subjects Headings (MESH): predictive model, nomogram, risk model, magnetic resonance imaging, PI-RADS, prostate cancer, and prostate biopsy. This review was made following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA) criteria and studied eligibility based on the Participants, Intervention, Comparator, and Outcomes (PICO) strategy. Among 723 initial identified registers, 18 studies were finally selected. Warp analysis of selected studies was performed with the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Clinical predictors in addition to the PI-RADS score in developed MRI-PMs were age, PCa family history, digital rectal examination, biopsy status (initial vs. repeat), ethnicity, serum PSA, prostate volume measured by MRI, or calculated PSA density. All MRI-PMs improved the prediction of csPCa made by clinical predictors or imaging alone and achieved most areas under the curve between 0.78 and 0.92. Among 18 developed MRI-PMs, 7 had any external validation, and two RCs were available. The updated PI-RADS version 2 was exclusively used in 11 MRI-PMs. The performance of MRI-PMs according to PI-RADS was only analysed in a single study. We conclude that MRI-PMs improve the selection of candidates for prostate biopsy beyond the PI-RADS category. However, few developed MRI-PMs meet the appropriate requirements in routine clinical practice.

1 November 2019 in European Urology Oncology
Verified
Journal Article
Closed access
JMJuan Morote
Juan Morote
ACAnna Celma
Anna Celma
SRSarai Roche
Sarai Roche
ITInés M. de Torres
Inés M. de Torres
RMRichard Mast
Richard Mast
JPJacques Planas
Jacques Planas

18 October 2022 in Cancers
Verified
Journal Article
Open access
PDF file
JMJuan Morote
Juan Morote
ABAngel BORQUE-FERNANDO
Angel BORQUE-FERNANDO
MTMarina Triquell
Marina Triquell
MCMiriam Campistol
Miriam Campistol
ACAnna Celma
Anna Celma
EHEnrique Trilla Herrera
Enrique Trilla Herrera
A predictive model including age, PCa family history, biopsy status (initial vs repeat), DRE (normal vs abnormal), serum prostate-specific antigen (PSA), and DRE prostate volume ca-tegory was developed to stratify initial PCa suspicion in 1486 men with PSA > 3 ng/mL and/or abnormal DRE, in whom mpMRI followed; 2- to 4-core TRUS-guided biopsies where Prostate Imaging Report and Data System (PI-RADS) > 3 lesions and/or 12-core TRUS systematic biopsies were performed in one academic institution between 1 January 2016–31 December 2019. The csPCa detection rate, defined as International Society of Uro-Pathology grade group 2 or higher, was 36.9%. An external validation of designed BCN-RC 1 was carried out on 946 men from two other institutions in the same metropolitan area, using the same criteria of PCa suspicion and diagnostic approach, yielded a csPCa detection rate of 40.8%. The areas under the receiver operating characteristic curves of BCN-RC 1 were 0.823 (95% CI: 0.800–0.846) in the development cohort and 0.837 (95% CI: 0.811–0.863) in the validation cohort (p = 0.447). In both cohorts, BCN-RC 1 exhibited net benefit over performing mpMRI in all men from 8 and 12% risk thresholds, respectively. At 0.95 sensitivity of csPCa, the specificities of BCN-RC 1 were 0.24 (95% CI: 0.22–0.26) in the development cohort and 0.34 (95% CI: 0.31–0.37) in the validation cohort (p < 0.001). The percentages of avoided mpMRI scans were 17.2% in the development cohort and 22.3% in the validation cohort, missing between 1.8% and 2% of csPCa among men at risk of PCa. In summary, BCN-RC 1 can stratify initial PCa suspicion, reducing the demand of mpMRI, with an acceptable loss of csPCa.

1 January 2015 in BioMed Research International
Verified
Journal Article
Open access
PDF file
MOM. Olivan
M. Olivan
MRM. Rigau
M. Rigau
ECE. Colás
E. Colás
MGMarta Garcia
Marta Garcia
MMM. Montes
M. Montes
JMJuan Morote
Juan Morote
Nowadays prostate cancer is the most common solid tumor in men from industrialized countries and the second leading cause of death. At the ages when PCa is usually diagnosed, mortality related to cardiovascular morbidity is high; therefore, men at risk for PCa frequently receive chronic lipid-lowering and antiplatelet treatment. The aim of this study was to analyze how chronic treatment with statins, aspirin, and their combination influenced the risk of PCa detection. The tumorigenic properties of these treatments were evaluated by proliferation, colony formation, invasion, and migration assays using different PCa cell lines, in order to assess how these treatments act at molecular level. The results showed that a combination of statins and aspirin enhances the effect of individual treatments and seems to reduce the risk of PCa detection (OR: 0.616 (95% CI: 0.467–0.812),P<0.001). However, if treatments are maintained, aspirin (OR: 1.835 (95% CI: 1.068–3.155),P=0.028) or the combination of both drugs (OR: 3.059 (95% CI: 1.894–4.939),P<0.001) represents an increased risk of HGPCa. As observed at clinical level, these beneficial effectsin vitroare enhanced when both treatments are administered simultaneously, suggesting that chronic, concomitant treatment with statins and aspirin has a protective effect on PCa incidence.

14 September 2016 in Scandinavian Journal of Urology
Verified
Journal Article
Closed access
JPJacques Planas
Jacques Planas
ACAna Celma
Ana Celma
JPJosé Placer
José Placer
MCMercè Cuadras
Mercè Cuadras
LRLucas Regis
Lucas Regis
JMJuan Morote
Juan Morote
Objective: The aim of this study was to evaluate hormonal recovery after cessation of androgen deprivation therapy (ADT) in a group of elderly prostate cancer patients. Materials and methods: Forty patients with locally advanced or metastatic prostate cancer, with a mean age of 71.5 years [95% confidence interval (CI) 69.1–73.9], were treated with ADT for a mean duration of 74.6 months (95% CI 59.7–89.5 months). Mean follow-up time after ADT cessation was 36.5 months (95% CI 30.6–42.3 months). Serum testosterone and luteinizing hormone (LH) were determined at 6 month intervals after ADT cessation. Results: After 18 months of follow-up, all patients had recovered normal LH levels, while 38% of patients still presented castration levels of testosterone (< 50 ng/dl). A multivariate analysis was performed to find factors related to testosterone recovery (testosterone >50 ng/dl). Neither age at start of ADT nor clinical stage reached statistical significance. Only time under ADT was correlated with testosterone recovery (p = .031). Kaplan–Meier curves were obtained. Mean time for testosterone recovery was 14.5 months (95% CI 6.5–22.6 months) in patients treated with ADT for less than 60 months compared to 29.3 months (95% CI 19.6–39.1 months) in patients treated with ADT for more than 60 months (log-rank p = .029). Conclusions: Age did not correlate with testosterone recovery in a group of elderly prostate cancer patients in whom ADT was stopped. Testosterone recovery after ADT cessation was significantly correlated with time under ADT treatment. Significant implications related to economic aspects of the dosage schedule may be considered.