- Breast Cancer Treatment Studies
- Breast Lesions and Carcinomas
- Emergency and Acute Care Studies
- Breast Implant and Reconstruction
- AI in cancer detection
- Global Cancer Incidence and Screening
- Radiomics and Machine Learning in Medical Imaging
- Cancer Diagnosis and Treatment
- Healthcare Policy and Management
- Digital Radiography and Breast Imaging
- Child and Adolescent Health
- Cancer Risks and Factors
- Cancer survivorship and care
- Advances in Oncology and Radiotherapy
- Healthcare Systems and Technology
- Pneumonia and Respiratory Infections
- Hospital Admissions and Outcomes
Lund University
2015-2025
Skåne University Hospital
2017-2025
European Society of Anaesthesiology
2018
Abstract Background Health-related quality of life and patient-related outcome measures for patients with cancer have gained increased interest over the last decade. However, few prospective studies longitudinal data evaluated health-related in breast cancer. This study aimed to investigate how changed from time diagnosis 1 year after surgery main surgical techniques. Methods single-centre included primary diagnosed 2019–2020 who underwent surgery. Patients completed a questionnaire...
Abstract Objectives Positive resection margins after breast-conserving surgery (BCS) most often demands a repeat surgery. To preoperatively identify patients at risk of positive margins, multivariable model has been developed that predicts BCS with high accuracy. This study aimed to externally validate this prediction explore its generalizability and assess if additional available variables can further improve predictive The validation cohort included 225 invasive breast cancer who underwent...
Abstract Background Surgical sentinel lymph node biopsy (SLNB) is routinely used to reliably stage axillary nodes in early breast cancer (BC). However, SLNB may be associated with postoperative arm morbidities. For most patients BC undergoing SLNB, the findings are benign, and procedure currently questioned. A decision-support tool for prediction of benign based on preoperatively available data has been developed using artificial neural network modelling. Methods This was a retrospective...
<title>Abstract</title> <bold>Background:</bold> With a trend toward de-escalation of axillary surgery in breast cancer, prediction models incorporating imaging modalities can help reassess the need for surgical staging. Although mammography is routinely performed cancer imaging, its potential nodal staging remains underutilized. This study aims to employ advancements deep learning (DL) comprehensively evaluate routine mammograms predicting lymph node metastasis (LNM) preoperative clinical...
Aims Overcrowding at pediatric emergency departments (EDs) may result in delayed clinical management and higher risks of medical error. This study was designed to prospectively evaluate what parents sick children seek care for how these patients are being assessed managed. Methods Patients aged 0 17 years seeking ED an urban Swedish university hospital, from 8 AM 9 PM on 25 consecutive days, were included. Clinical urgency further level determined by experienced nurses based individual signs...
Direct seeking of care at paediatric emergency departments may result from an inadequate awareness or a short supply medical alternatives. We therefore evaluated the care-seeking patterns, availability options and initial assessments - with overall reference to socioeconomic status parents urban department in Scandinavian country providing free healthcare.The children assessed by physicians Swedish university hospital over 25-day winter period completed questionnaire on recent contacts their...
Abstract Background Positive margins after breast-conserving surgery (BCS) and subsequent second are associated with increased costs patient discomfort. The aim of this study was to develop a prediction model for positive based on risk factors available before surgery. Methods Patients undergoing BCS in situ or invasive cancer between 2015 2016 at site A formed development cohort; those operated during 2017 B two validation cohorts. MRI not used routinely. Preoperative radiographic tumour...
Newly diagnosed breast cancer (BC) patients with clinical T1-T2 N0 disease undergo sentinel-lymph-node (SLN) biopsy, although most of them have a benign SLN. The pilot noninvasive lymph node staging (NILS) artificial neural network (ANN) model to predict nodal status was published in 2019, showing the potential identify low risk SLN metastasis. aim this study is assess performance measures after web-based implementation for prediction healthy clinically BC patients. This retrospective...
Parental social characteristics influence the use of emergency departments (ED) in USA, but less is known about paediatric ED care-seeking countries with national health insurance. This prospective study was designed to evaluate associations between parental and characteristics, emphasis on impact non-native origin, at a Sweden, European country providing healthcare free charge. Parents attending large urban university hospital filled out questionnaire reasons for care-seeking. Information...
Aims: Pediatric emergency department (ED) overcrowding is a challenge. This study was designed to evaluate if hospital-integrated primary care unit (HPCU) reduces less urgent visits at pediatric ED. Methods: retrospective cross-sectional carried out university hospital in Sweden, where the HPCU, open outside office hours, had been integrated next Children seeking ED during 4-week high- and low-load periods before (2012) after (2015) implementation of HPCU were included. Information on...
Most patients diagnosed with breast cancer present a node-negative disease. Sentinel lymph node biopsy (SLNB) is routinely used for axillary staging, leaving healthy nodes without therapeutic effects but at risk of morbidities from the intervention. Numerous studies have developed nodal status prediction models noninvasive staging using postoperative data or imaging features that are not part diagnostic workup. Lymphovascular invasion (LVI) top-ranked predictor metastasis; however, its...
<title>Abstract</title> <bold>Background: </bold>Positive resection margins after breast-conserving surgery (BCS) most often demands a repeat surgery. Identifying patients at risk of positive allow for surgical techniques using wider margins, which may reduce the need additional surgeries. A prediction model by Ellbrant et al. with seven preoperative clinical-pathological and imaging variables predicts BCS an area under ROC curve (AUC) 0.80. The aim current study was to externally validate...
Abstract Background Surgical sentinel lymph node biopsy (SLNB) is routinely used to reliably stage axillary nodes in early breast cancer (BC). However, SLNB may be associated with postoperative arm morbidities. For most patients BC undergoing SLNB, the findings are benign, and procedure currently questioned. A decision-support tool for prediction of benign based on preoperatively available data has been developed using artificial neural network modelling [1,2]. Methods This was a...
Abstract Introduction Health-related quality of life (HRQoL) and patient-related outcome measures for patients with cancer have gained increased interest over the last decade. However, few prospective studies longitudinal data evaluated HRQoL in breast cancer. This study aimed to investigate how changed from time diagnosis 1 year post surgery main surgical techniques. Method single-centre included 340 primary diagnosed 2019–2020 who underwent surgery. Patients completed a questionnaire...
ABSTRACT Background Most patients diagnosed with breast cancer present node-negative disease. Sentinel lymph node biopsy (SLNB) is routinely used to stage the axilla, leaving healthy axillary nodes without therapeutic effects but at risk of morbidities from intervention. Numerous studies have developed nodal (N) status prediction models for noninvasive staging using postoperative data or imaging features that are not part diagnostic workup. Lymphovascular invasion (LVI) a top-ranked...
Abstract Background: Neoadjuvant chemotherapy (NAC) is an established treatment option in early breast cancer. NAC potentially downstages the tumor and, combined with oncoplastic techniques, may increase eligibility for conserving surgery (BCS). can also result less surgical morbidity of axilla if axillary clearance be avoided. In addition, preoperative medical allows a thorough evaluation response and lays foundation adjuvant decisions. The aim study was to prospectively estimate proportion...
Abstract Background Surgical sentinel lymph node biopsy (SLNB) is routinely used to reliably stage axillary nodes in early breast cancer (BC). However, SLNB may be associated with postoperative arm morbidities. For most patients BC undergoing SLNB, the findings are benign, and procedure currently questioned. A decision-support tool for prediction of benign based on preoperatively available data has been developed using artificial neural network modelling. Methods This was a retrospective...
<sec> <title>BACKGROUND</title> Most patients diagnosed with breast cancer present a node-negative disease. Sentinel lymph node biopsy (SLNB) is routinely used for axillary staging, leaving healthy nodes without therapeutic effects but at risk of morbidities from the intervention. Numerous studies have developed nodal status prediction models noninvasive staging using postoperative data or imaging features that are not part diagnostic workup. Lymphovascular invasion (LVI) top-ranked...
Abstract Background Routine preoperative axillary ultrasonography has proven insufficient for detecting low-burden nodal metastatic deposits. For the majority of newly diagnosed breast cancer patients presenting with clinical T1-T2 N0 disease, standard staging by sentinel lymph node biopsy is not therapeutic. The pilot non-invasive (NILS) artificial neural network (ANN) model to predict status was published in 2019. aim current study assess performance measures prediction healthy nodes...