A5047108336- Prostate Cancer Diagnosis and Treatment
- Prostate Cancer Treatment and Research
- Cell Image Analysis Techniques
- Radiomics and Machine Learning in Medical Imaging
- AI in cancer detection
- Advanced Radiotherapy Techniques
- Digital Imaging for Blood Diseases
- Bladder and Urothelial Cancer Treatments
- Autopsy Techniques and Outcomes
- Forensic Entomology and Diptera Studies
- Amyloidosis: Diagnosis, Treatment, Outcomes
- Anatomy and Medical Technology
- Multiple Myeloma Research and Treatments
- Complement system in diseases
- MRI in cancer diagnosis
- Renal Diseases and Glomerulopathies
- Ferroptosis and cancer prognosis
- Renal cell carcinoma treatment
- Forensic Anthropology and Bioarchaeology Studies
- Renal Transplantation Outcomes and Treatments
- Advanced X-ray and CT Imaging
- Immune Cell Function and Interaction
- Urologic and reproductive health conditions
- Digital Radiography and Breast Imaging
Imperial College Healthcare NHS Trust
2020-2025
Charing Cross Hospital
2020-2023
North West London Pathology
2022-2023
Hammersmith Hospital
2020
Leefmilieu Brussel
2005
ABSTRACT Background Light chain proximal tubulopathy (LCPT) is a rare form of paraprotein-related disease, occurring in two main histopathological forms: crystalline and non-crystalline. The clinicopathological features, treatment strategies outcomes, especially the non-crystalline form, are not well described. Methods We conducted single-centre retrospective case series 12 LCPT patients, 5 7 non-crystalline, between 2005 2021. Results median age was 69.5 years (range 47–80). Ten patients...
Abstract Background Preoperative PSA, ISUP grade group (GG), prostate examination and multiparametric MRI (mpMRI) form the basis of cancer staging. Unlike other solid organ tumours, tumour volume (TV) is not routinely used aside from crude estimates such as maximum core length. The aim this study to assess role TV a marker for oncological outcomes in high-risk non-metastatic cancer. Methods A prospectively maintained database patients undergoing minimally invasive (laparoscopic or...
Diagnosing medical conditions from histopathology data requires a thorough analysis across the various resolutions of Whole Slide Images (WSI). However, existing generative methods fail to consistently represent hierarchical structure WSIs due focus on high-fidelity patches. To tackle this, we propose Ultra-Resolution Cascaded Diffusion Models (URCDMs) which are capable synthesising entire images at high whilst authentically capturing details both underlying anatomy and pathology all...
You have accessJournal of UrologyProstate Cancer: Detection & Screening VII (PD60)1 Apr 2019PD60-01 LIKERT VS. PI-RADS V2: A COMPARISON OF TWO RADIOLOGICAL SCORING SYSTEMS FOR DETECTION CLINICALLY SIGNIFICANT PROSTATE CANCER Christopher Charles Khoo*, David Eldred-Evans, Johannes Jaenicke, Mariana Bertoncelli Tanaka, Taimur Tariq Shah, Saiful Miah, Martin Connor, Deepika Reddy, Mohammed Noureldin, Joanne Sethi, Alexandra Forde, Heather Bhola-Stewart, Andrew Smith, James Carton, Josephine...
You have accessJournal of UrologyKidney Cancer: Basic Research & Pathophysiology II1 Apr 2016MP85-19 URINARY PEPTIDOME AND PROTEOME ALTERATIONS RELATED TO TUMOR PROGRESSION INVASION IN RCC Clizia Chinello, Marco Grasso, Marta Cazzaniga, Gabriele De Sio, Angelica Bernardo Rocco, Andrew Smith, Italo Zoppis, Giancarlo Mauri, and Fulvio Magni ChinelloClizia Chinello More articles by this author , GrassoMarco Grasso CazzanigaMarta Cazzaniga SioGabriele Sio GrassoAngelica RoccoBernardo Rocco...
Diagnoses from histopathology images rely on information both high and low resolutions of Whole Slide Images. Ultra-Resolution Cascaded Diffusion Models (URCDMs) allow for the synthesis high-resolution that are realistic at all magnification levels, focusing not only fidelity but also long-distance spatial coherency. Our model beats existing methods, improving pFID-50k [2] score by 110.63 to 39.52 pFID-50k. Additionally, a human expert evaluation study was performed, reaching weighted Mean...
TRANSPLANT QUIZ Transpl Int, 08 December 2022 https://doi.org/10.3389/ti.2022.10910