Sandra Freitag‐Wolf
YOU?
Author Swipe
View article: PSMA response evaluation in follow-up PSMA-PET/CT after stereotactic ablative body radiotherapy (SABR) for oligometastases in prostate cancer
PSMA response evaluation in follow-up PSMA-PET/CT after stereotactic ablative body radiotherapy (SABR) for oligometastases in prostate cancer Open
PSMA-PET/CT directed SABR provides excellent long-term local tumor control of 90% in bone and lymph node metastasis of oligometastatic PCa and is well tolerated. PSMA activity may further decrease after initial re-imaging with PSMA-PET/CT.
View article: P0694 Clinical response trajectories identify distinct subpopulations of ulcerative colitis patients and are linked to disease outcome across different therapy classes. Patient level analysis of 2378 participants from 6 randomized controlled trials in moderate-severe UC representing 8 different mechanisms of action.
P0694 Clinical response trajectories identify distinct subpopulations of ulcerative colitis patients and are linked to disease outcome across different therapy classes. Patient level analysis of 2378 participants from 6 randomized controlled trials in moderate-severe UC representing 8 different mechanisms of action. Open
Background In randomized placebo-controlled trials (RCTs) for ulcerative colitis (UC), remission rates below 40% (wk52). Landmark analyses using independent endpoints provide approvable estimands for overall efficacy but overlook individua…
View article: Validity and power of the case-only approach in prospective cohort and case- cohort studies with time-to-event endpoints: a simulation study
Validity and power of the case-only approach in prospective cohort and case- cohort studies with time-to-event endpoints: a simulation study Open
Objective The powerful case-only (CO) approach has been extended for examining statistical interactions for time-to-event outcomes in the context of randomized clinical trials (RCT), but has not yet been investigated in prospective observa…
View article: Validity and Power of the Case-Only Approach in Prospective Cohort and Case-Cohort Studies with Time-to-Event Endpoints
Validity and Power of the Case-Only Approach in Prospective Cohort and Case-Cohort Studies with Time-to-Event Endpoints Open
For genetic epidemiological studies with binary outcomes, the case-only (CO) approach has been shown to be powerful for examining statistical interactions, in particular gene-environment interactions. For time-to-event outcomes, the CO app…
View article: Tricuspid Regurgitation and TAVR: Outcomes, Risk Factors and Biomarkers
Tricuspid Regurgitation and TAVR: Outcomes, Risk Factors and Biomarkers Open
Background. The significance of concomitant tricuspid regurgitation (TR) in the context of transcatheter aortic valve replacement (TAVR) remains unclear. This study aimed to analyze the severity of TR before and after TAVR with regard to s…
View article: Validity and Power of the Case-Only Approach in Prospective Cohort and Case-Cohort Studies with Time-to-Event Endpoints
Validity and Power of the Case-Only Approach in Prospective Cohort and Case-Cohort Studies with Time-to-Event Endpoints Open
Background For genetic epidemiological studies with binary outcomes, the case-only (CO) approach has been shown to be powerful for examining statistical interactions, in particular gene-environment interactions. For time-to-event outcomes,…
View article: Moral Distress in Radiation Oncology: Insights From Residents in Germany
Moral Distress in Radiation Oncology: Insights From Residents in Germany Open
The results are in accordance with existing assumptions that moral distress among physicians is mainly due to uncertainty. Regarding radiation oncology residents in particular, moral distress seems to be related to uncertainty in decisions…
View article: Genetic and geographic influence on phenotypic variation in European sarcoidosis patients
Genetic and geographic influence on phenotypic variation in European sarcoidosis patients Open
Introduction Sarcoidosis is a highly variable disease in terms of organ involvement, type of onset and course. Associations of genetic polymorphisms with sarcoidosis phenotypes have been observed and suggest genetic signatures. Methods Aft…
View article: Genome-wide case-only analysis of gene-gene interactions with known Parkinson’s disease risk variants reveals link between LRRK2 and SYT10
Genome-wide case-only analysis of gene-gene interactions with known Parkinson’s disease risk variants reveals link between LRRK2 and SYT10 Open
The effects of one genetic factor upon Parkinson’s disease (PD) risk may be modified by other genetic factors. Such gene-gene interaction (G×G) could explain some of the ‘missing heritability’ of PD and the reduced penetrance of known PD r…
View article: Effect of operators’ proficiency level and patients’ related factors on possible complications, using a high frequency polyamide sonic intracanal irrigation device: A prospective clinical cohort study
Effect of operators’ proficiency level and patients’ related factors on possible complications, using a high frequency polyamide sonic intracanal irrigation device: A prospective clinical cohort study Open
Objectives Sonic/ultrasonic devices are essential tools in today’s endodontics. This prospective trial evaluated for the first time the impact of practitioners’ proficiency levels and patient-related factors on complications associated wit…
View article: Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Analysis of deviance comparing models with and without genome instability parameters.
View article: Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Kaplan Meier curves of clinicopathological and image cytometric data.
View article: Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Univariable Cox regressions, disease-specific survival.
View article: Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Test for proportional hazards.
View article: Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Univariable Cox regressions, disease-specific survival.
View article: Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Purpose:The choice of therapy for patients with breast cancer is often based on clinicopathologic parameters, hormone receptor status, and HER2 amplification. To improve individual prognostication and tailored treatment decisions, we combi…
View article: Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S3 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Analysis of deviance comparing models with and without genome instability parameters.
View article: Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Steps of Cox regression analyses to final models.
View article: Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Multivariable Cox regressions including the standard proliferation variable.
View article: Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S4 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Kaplan Meier curves of clinicopathological and image cytometric data.
View article: Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Test for proportional hazards.
View article: Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Correlation between standard clinicopathological and genome instability parameters.
View article: Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Examples of different genome instability profiles.
View article: Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Steps of Cox regression analyses to final models.
View article: Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S1 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Examples of different genome instability profiles.
View article: Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Data from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Purpose:The choice of therapy for patients with breast cancer is often based on clinicopathologic parameters, hormone receptor status, and HER2 amplification. To improve individual prognostication and tailored treatment decisions, we combi…
View article: Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Table S2 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Correlation between standard clinicopathological and genome instability parameters.
View article: Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer
Supplementary Figure S5 from Genome Instability Profiles Predict Disease Outcome in a Cohort of 4,003 Patients with Breast Cancer Open
Multivariable Cox regressions including the standard proliferation variable.
View article: Supplementary Methods from Novel Bispecific Antibodies Increase γδ T-Cell Cytotoxicity against Pancreatic Cancer Cells
Supplementary Methods from Novel Bispecific Antibodies Increase γδ T-Cell Cytotoxicity against Pancreatic Cancer Cells Open
PDF file - 34K