Nikita Sushentsev

ORCID: 0000-0003-4500-9714
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About
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Research Areas
  • Prostate Cancer Diagnosis and Treatment
  • Prostate Cancer Treatment and Research
  • Radiomics and Machine Learning in Medical Imaging
  • MRI in cancer diagnosis
  • Urological Disorders and Treatments
  • Urologic and reproductive health conditions
  • Advanced MRI Techniques and Applications
  • Medical Imaging Techniques and Applications
  • Bladder and Urothelial Cancer Treatments
  • Advanced NMR Techniques and Applications
  • Spectroscopy Techniques in Biomedical and Chemical Research
  • Advanced X-ray and CT Imaging
  • Urinary Bladder and Prostate Research
  • Digital Radiography and Breast Imaging
  • COVID-19 and Mental Health
  • Ultrasound in Clinical Applications
  • Misinformation and Its Impacts
  • Endometriosis Research and Treatment
  • Radiation Dose and Imaging
  • Abdominal Surgery and Complications
  • Abdominal Trauma and Injuries
  • Gallbladder and Bile Duct Disorders
  • Vascular anomalies and interventions
  • Media Influence and Health
  • Cancer-related Molecular Pathways

Addenbrooke's Hospital
2020-2025

University of Cambridge
2020-2025

Cambridge University Hospitals NHS Foundation Trust
2024-2025

Sechenov University
2017-2019

Abstract Objectives Multi-centre, multi-vendor validation of artificial intelligence (AI) software to detect clinically significant prostate cancer (PCa) using multiparametric magnetic resonance imaging (MRI) is lacking. We compared a new AI solution, validated on separate dataset from different UK hospitals, the original multidisciplinary team (MDT)-supported radiologist’s interpretations. Materials and methods A Conformité Européenne (CE)-marked deep-learning (DL) computer-aided detection...

10.1007/s00330-024-11323-0 article EN cc-by European Radiology 2025-02-27

Background The COVID-19 pandemic has potentially had a negative impact on the mental health and well-being of individuals families. Anxiety levels risk factors within particular populations are poorly described. Objective This study aims to evaluate confidence, understanding, trust, concerns, anxiety during in general population assess for increased anxiety. Methods We launched cross-sectional online survey large Russian between April 6 15, 2020, using multiple social media platforms. A set...

10.2196/20955 article EN cc-by Journal of Medical Internet Research 2020-08-07

Abstract Hyperpolarised magnetic resonance imaging (HP 13 C-MRI) is an emerging clinical technique to detect [1- C]lactate production in prostate cancer (PCa) following intravenous injection of hyperpolarised C]pyruvate. Here we differentiate clinically significant PCa from indolent disease a low/intermediate-risk population by correlating labelling on MRI with the percentage Gleason pattern 4 (%GP4) disease. Using immunohistochemistry and spatial transcriptomics, show that HP C-MRI...

10.1038/s41467-022-28069-2 article EN cc-by Nature Communications 2022-01-24

Serial MRI is an essential assessment tool in prostate cancer (PCa) patients enrolled on active surveillance (AS). However, it has only moderate sensitivity for predicting histopathological tumour progression at follow-up, which part due to the subjective nature of its clinical reporting and variation among centres readers. In this study, we used a long short-term memory (LSTM) recurrent neural network (RNN) develop time series radiomics (TSR) predictive model that analysed longitudinal...

10.1007/s00330-023-09438-x article EN cc-by European Radiology 2023-02-07

Abstract Objectives To assess the predictive value and correlation to pathological progression of Prostate Cancer Radiological Estimation Change in Sequential Evaluation (PRECISE) scoring system follow-up prostate cancer (PCa) patients on active surveillance (AS). Methods A total 295 men enrolled an AS programme between 2011 2018 were included. Baseline multiparametric magnetic resonance imaging (mpMRI) was performed at entry guide biopsy. The mpMRI studies prospectively reported by two...

10.1007/s00330-020-07336-0 article EN cc-by European Radiology 2020-11-16

To compare the performance of PRECISE scoring system against several MRI-derived delta-radiomics models for predicting histopathological prostate cancer (PCa) progression in patients on active surveillance (AS).The study included AS with biopsy-proven PCa a minimum follow-up 2 years and at least one repeat targeted biopsy. Histopathological was defined as grade group from diagnostic The control both radiologically histopathologically stable disease. scores were applied prospectively by four...

10.1007/s00330-021-08151-x article EN cc-by European Radiology 2021-07-13

To assess the multiparametric MRI (mpMRI) appearances of normal peripheral zone (PZ) across age groups in a biopsy-naïve population, where prostate cancer (PCa) was subsequently excluded, and propose scoring system for background PZ changes.

10.1007/s00330-020-07545-7 article EN cc-by European Radiology 2021-01-04

Abstract Nearly half of patients with prostate cancer (PCa) harbour low- or intermediate-risk disease considered suitable for active surveillance (AS). However, up to 44% discontinue AS within the first five years, highlighting unmet clinical need robust baseline risk-stratification tools that enable timely and accurate prediction tumour progression. In this proof-of-concept study, we sought investigate added value MRI-derived radiomic features standard-of-care parameters improving PCa...

10.1038/s41598-021-92341-6 article EN cc-by Scientific Reports 2021-06-21

Abstract Objectives To evaluate discrepant radio-pathological outcomes in biopsy-naïve patients undergoing prostate MRI and to provide insights into the underlying causes. Materials methods A retrospective analysis was conducted on 2780 at a tertiary referral centre between October 2015 June 2022. Exclusion criteria were biopsy not performed, indeterminate findings (PI-RADS 3), clinically insignificant PCa (Gleason score 3 + 3). Patients with results categorised two groups:...

10.1007/s00330-024-10702-x article EN cc-by European Radiology 2024-03-20

Abstract Hyperpolarised magnetic resonance imaging (HP- 13 C-MRI) has shown promise as a clinical tool for detecting and characterising prostate cancer. Here we use range of spatially resolved histological techniques to identify the biological mechanisms underpinning differential [1- C]lactate labelling between benign malignant prostate, well in tumours containing cribriform non-cribriform Gleason pattern 4 disease. show that elevated hyperpolarised signal cancer compared is primarily driven...

10.1038/s41467-024-50362-5 article EN cc-by Nature Communications 2024-07-16

Background and Objective. MRI-driven active surveillance (AS) is increasingly used for prostate cancer (PCa) management. To determine the oncological safety of contemporary, AS identify patients at higher risk failure. Methods. This retrospective cohort study included with MRI-localised PCa from three US UK centres. The primary outcome was failure, a composite PCa-specific mortality, metastasis, progression to >GG4, or post-treatment biochemical recurrence. secondary disease progression,...

10.1101/2025.04.23.25326291 preprint EN cc-by-nc medRxiv (Cold Spring Harbor Laboratory) 2025-04-25

To introduce capped biparametric (bp) MRI slots for follow-up imaging of prostate cancer patients enrolled in active surveillance (AS) and evaluate the effect on weekly variation number AS cases total workload.

10.1259/bjr.20190929 article EN British Journal of Radiology 2020-01-23

Abstract Magnetic resonance fingerprinting (MRF) is a rapidly developing fast quantitative mapping technique able to produce multiple property maps with reduced sensitivity motion. MRF has shown promise in improving the diagnosis of clinically significant prostate cancer but requires further validation as part multiparametric (mp) MRI protocol. mpMRI protocol mandates inclusion dynamic contrast enhanced (DCE) imaging, known for its T 1 shortening effect. could be used measure both pre- and...

10.1038/s41598-020-77331-4 article EN cc-by Scientific Reports 2020-11-24

The global uptake of prostate cancer (PCa) active surveillance (AS) is steadily increasing. While prostate-specific antigen density (PSAD) an important baseline predictor PCa progression on AS, there a scarcity recommendations its use in follow-up. In particular, the best way measuring PSAD unclear. One approach would be to gland volume (BGV) as denominator all calculations throughout AS (nonadaptive PSAD, PSADNA), while another remeasure at each new magnetic resonance imaging scan (adaptive...

10.1016/j.euros.2023.04.002 article EN cc-by European Urology Open Science 2023-04-29

Objective: To analyse serial changes in MRI-derived tumour measurements and apparent diffusion coefficient (ADC) values prostate cancer (PCa) patients on active surveillance (AS) with without histopathological disease progression. Methods: This study included AS biopsy-proven PCa a minimum of two consecutive MR examinations at least one repeat targeted biopsy. Tumour volumes, largest axial two-dimensional (2D) surface areas, maximum diameters were measured T 2 weighted images (T 2WI). ADC...

10.1259/bjr.20210842 article EN cc-by British Journal of Radiology 2021-09-19

To assess the added value of histological information for local staging prostate cancer (PCa) by comparing accuracy multiparametric MRI alone (mpMRI) and mpMRI with biopsy Gleason grade (mpMRI+Bx).133 consecutive patients who underwent preoperative 3T-MRI subsequent radical prostatectomy PCa were included in this single-centre retrospective study. imaging was reviewed independently two uroradiologists presence extracapsular extension (ECE) seminal vesicle invasion (SVI) on a 5-point Likert...

10.1177/08465371211073158 article EN Canadian Association of Radiologists Journal 2022-02-24
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