Introduction: Lichen planus is a relatively common inflammatory condition of the nails, skin, and mucosal surfaces. Oesophageal involvement of lichen planus is thought to be very rare, mainly described in case reports, but is associated with a high risk of oesophageal stenosis as well as squamous cell carcinoma. No evidence-based treatment recommendations exist, with the majority of described treatment regimens involving systemic immunosuppression.
View Article and Find Full Text PDFMagnetic resonance imaging (MRI) is increasingly used to triage patients for prostate biopsy. However, 9% to 24% of clinically significant (cs) prostate cancers (PCas) are not visible in MRI. We aimed to identify histomic and transcriptomic determinants of MRI visibility and their association to metastasis, and PCa-specific death (PCSD).
View Article and Find Full Text PDFObjective: To determine the feasibility of a digitally automated population-based programme for organised prostate cancer testing (OPT) in Southern Sweden.
Patients And Methods: A pilot project for a regional OPT was conducted between September 2020 and February 2021, inviting 999 randomly selected men aged 50, 56, or 62 years. Risk stratification was based on prostate-specific antigen (PSA) level, PSA density (PSAD), and bi-parametric prostate magnetic resonance imaging (MRI).
Family Report: Two rare autosomal recessive neurological disorders, leukoencephalopathy with ataxia and spastic paraplegia 56 (SPG56), were found in members of the same family. Two siblings presented with spastic paraplegia, cognitive impairment, bladder and bowel dysfunction and gait ataxia; their consanguineous parents were unaffected. Ophthalmological examination revealed chorioretinopathy.
View Article and Find Full Text PDFUnlabelled: Some clinically significant prostate cancers are missed by MRI. We asked whether the tumor stroma in surgically treated localized prostate cancer lesions positive or negative with MRI are different in their cellular and molecular properties, and whether the differences are reflected to the clinical course of the disease. We profiled the stromal and immune cell composition of MRI-classified tumor lesions by applying multiplexed fluorescence IHC (mfIHC) and automated image analysis in a clinical cohort of 343 patients (cohort I).
View Article and Find Full Text PDFAn artificial intelligence (AI) algorithm for prostate cancer detection and grading was developed for clinical diagnostics on biopsies. The study cohort included 4221 scanned slides from 872 biopsy sessions at the HUS Helsinki University Hospital during 2016-2017 and a subcohort of 126 patients treated by robot-assisted radical prostatectomy (RALP) during 2016-2019. In the validation cohort (n = 391), the model detected cancer with a sensitivity of 98% and specificity of 98% (weighted kappa 0.
View Article and Find Full Text PDFBackground: To determine the added value of preoperative prostate multiparametric MRI (mpMRI) supplementary to clinical variables and their role in predicting post prostatectomy adverse findings and biochemically recurrent cancer (BCR).
Methods: All consecutive patients treated at HUS Helsinki University Hospital with robot assisted radical prostatectomy (RALP) between 2014 and 2015 were included in the analysis. The mpMRI data, clinical variables, histopathological characteristics, and follow-up information were collected.
Background: Diagnosing clinically significant prostate cancer (PCa) is challenging, but may be facilitated by biomarkers and multiparametric magnetic resonance imaging (MRI).
Objective: To determine the association between biomarkers phosphatase and tensin homolog (PTEN) and ETS-related gene (ERG) with visible and invisible PCa lesions in MRI, and to predict biochemical recurrence (BCR) and non-organ-confined (non-OC) PCa by integrating clinical, MRI, and biomarker-related data.
Design, Setting, And Participants: A retrospective analysis of a population-based cohort of men with PCa, who underwent preoperative MRI followed by radical prostatectomy (RP) during 2014-2015 in Helsinki University Hospital (n = 346), was conducted.
Background: The magnetic resonance imaging/ultrasound fusion-guided biopsy (FBx) technique has gained popularity in prostate cancer (PCa) diagnostics, but little is known about its effect on patient experience.
Objective: To evaluate pain, discomfort and other non-infectious complications in PCa patients undergoing either systematic 12-core transrectal ultrasound-guided biopsy (SBx) or FBx and patient willingness to undergo rebiopsy.
Design, Setting, And Participants: A prospective trial of 262 male patients, 203 of whom underwent transrectal SBx and 59 FBx at Helsinki University Hospital in 2015-2016.
Introduction: This study was conducted to describe the changes in repeat multiparametric MRI (mpMRI) occurring in prostate cancer (PCa) patients during active surveillance (AS), and to study possible associations between mpMRI-related parameters in predicting prostate biopsy (Bx) Gleason score (GS) upgrading >3+3 and protocol-based treatment change (TC).
Materials And Methods: The study cohort consisted of 76 AS patients with GS 3+3 PCa and at least two consecutive mpMRIs of the prostate performed between 2006-2015. Patients were followed according to the Prostate Cancer Research International Active Surveillance (PRIAS) protocol and an additional mpMRI.
The alternative to immediate radical treatment of prostate cancer is active surveillance, to which an estimated 30% of new patients with prostate cancer could be directed on the basis of risk classification. Active surveillance is based on repeated PSA measurements, digital rectal examination, repeat biopsies, and increasingly also on MRI. The most important prognostic factor in prostate cancer is still the Gleason score, forming the basis for the new grade group classification with the purpose of rendering active surveillance of prostate cancer a form of treatment that is more easily acceptable for the patients.
View Article and Find Full Text PDF