Publications by authors named "Njal Lura"
Widespread clinical use of MRI radiomic tumor profiling for prognostication and treatment planning in cancers faces major obstacles due to limitations in standardization of radiomic features. The purpose of the current work was to assess the impact of different MRI scanning- and normalization protocols for the statistical analyses of tumor radiomic data in two patient cohorts with uterine endometrial-(EC) (n = 136) and cervical (CC) (n = 132) cancer. 1.
View Article and Find Full Text PDFCervical cancer (CC) is a major global health problem with 570,000 new cases and 266,000 deaths annually. Prognosis is poor for advanced stage disease, and few effective treatments exist. Preoperative diagnostic imaging is common in high-income countries and MRI measured tumor size routinely guides treatment allocation of cervical cancer patients.
View Article and Find Full Text PDFArticle Synopsis
- - Idiopathic Parkinson's disease (iPD) has varying causes, but researchers have identified two specific subtypes based on the severity of neuronal respiratory complex I (CI) deficiency.
- - The CI deficient (CI-PD) subtype, which makes up about 25% of iPD cases, shows widespread CI deficiency and is linked to non-tremor dominant symptoms, along with distinct gene expression and more mitochondrial DNA damage.
- - In contrast, the non-CI deficient (nCI-PD) subtype does not show significant mitochondrial issues outside a specific brain region and is more likely to present with tremor dominant symptoms, offering insights for better understanding and treatment of iPD.
Objective: Assess the added prognostic value of the updated International Federation of Gynecology and Obstetrics (FIGO) 2018 staging system, and to identify clinicopathological and radiological biomarkers for improved FIGO 2018 prognostication.
Methods: Patient data were retrieved from a prospectively collected patient cohort including all consenting patients with cervical cancer diagnosed and treated at Haukeland University Hospital during 2001-2022 (n = 948). All patients were staged according to the FIGO 2009 and FIGO 2018 guidelines based on available data for individual patients.
Background: The establishment of the Oxford classification and newly developed prediction models have improved the prognostic information for immunoglobulin A nephropathy (IgAN). Considering new treatment options, optimizing prognostic information and improving existing prediction models are favorable.
Methods: We used random forest survival analysis to select possible predictors of end-stage kidney disease among 37 candidate variables in a cohort of 232 patients with biopsy-proven IgAN retrieved from the Norwegian Kidney Biopsy Registry.
Background: Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC).
Purpose: To investigate whether pretreatment MRI-based radiomic signatures predict disease-specific survival (DSS) in CC.
Study Type: Retrospective.
Objective: The prognostic role of adiposity in uterine cervical cancer (CC) is largely unknown. Abdominal fat distribution may better reflect obesity than body mass index. This study aims to describe computed tomography (CT)-assessed abdominal fat distribution in relation to clinicopathologic characteristics, survival, and tumor gene expression in CC.
View Article and Find Full Text PDFBackground: Recently, two immunoglobulin A (IgA) nephropathy-prediction tools were developed that combine clinical and histopathologic parameters. The International IgAN Prediction Tool predicts the risk for 50% declines in the estimated glomerular filtration rate or end-stage kidney disease up to 80 months after diagnosis. The IgA Nephropathy Clinical Decision Support System uses artificial neural networks to estimate the risk for end-stage kidney disease.
View Article and Find Full Text PDFObjective: This study presents the diagnostic performance of four different preoperative imaging workups (IWs) for prediction of lymph node metastases (LNMs) in endometrial cancer (EC): pelvic MRI alone (IW1), MRI and [F]FDG-PET/CT in all patients (IW2), MRI with selective [F]FDG-PET/CT if high-risk preoperative histology (IW3), and MRI with selective [F]FDG-PET/CT if MRI indicates FIGO stage ≥ 1B (IW4).
Methods: In 361 EC patients, preoperative staging parameters from both pelvic MRI and [F]FDG-PET/CT were recorded. Area under receiver operating characteristic curves (ROC AUC) compared the diagnostic performance for the different imaging parameters and workups for predicting surgicopathological FIGO stage.
Background: Tumor size assessment by MRI is central for staging uterine cervical cancer. However, the optimal role of MRI-derived tumor measurements for prognostication is still unclear.
Material And Methods: This retrospective cohort study included 416 women (median age: 43 years) diagnosed with cervical cancer during 2002-2017 who underwent pretreatment pelvic MRI.
Uterine cervical cancer (CC) is the most common gynecologic malignancy worldwide. Whole-volume radiomic profiling from pelvic MRI may yield prognostic markers for tailoring treatment in CC. However, radiomic profiling relies on manual tumor segmentation which is unfeasible in the clinic.
View Article and Find Full Text PDFObjectives: To evaluate the interobserver agreement for MRI-based 2018 International Federation of Gynecology and Obstetrics (FIGO) staging parameters in patients with cervical cancer and assess the prognostic value of these MRI parameters in relation to other clinicopathological markers.
Methods: This retrospective study included 416 women with histologically confirmed cervical cancer who underwent pretreatment pelvic MRI from May 2002 to December 2017. Three radiologists independently recorded MRI-derived staging parameters incorporated in the 2018 FIGO staging system.
Background: The Oxford classification/MEST score is an established histopathologic scoring system for patients with IgA nephropathy (IgAN). The objective of this study was to derive a prognostic model for IgAN based on the MEST score and histopathologic features.
Methods: A total of 306 patients with biopsy-proven primary IgAN were included.
Background: Advanced cervical cancer carries a particularly poor prognosis, and few treatment options exist. Identification of effective molecular markers is vital to improve the individualisation of treatment. We investigated transcriptional data from cervical carcinomas related to patient survival and recurrence to identify potential molecular drivers for aggressive disease.
View Article and Find Full Text PDFBackground: Arachnoid cysts yield cognitive deficits that are normalized after surgical cyst decompression.
Objective: The present study aimed to investigate whether arachnoid cysts also affect symptoms of anxiety and depression, and if surgical cyst decompression leads to reduction of these symptoms.
Methods: Twenty-two adult patients (13 men and 9 women) with symptomatic temporal or frontal cysts were included in this questionnaire (Hospital Anxiety and Depression Scale [HADS])-based prospective study.
Purpose Of Review: For uterine cervical cancer, the recently revised International Federation of Gynecology and Obstetrics (FIGO) staging system (2018) incorporates imaging and pathology assessments in its staging. In this review we summarize the reported staging performances of conventional and novel imaging methods and provide an overview of promising novel imaging methods relevant for cervical cancer patient care.
Recent Findings: Diagnostic imaging during the primary diagnostic work-up is recommended to better assess tumor extent and metastatic disease and is now reflected in the 2018 FIGO stages 3C1 and 3C2 (positive pelvic and/or paraaortic lymph nodes).