Exposure-lag-response associations between lung cancer mortality and radon exposure in German uranium miners.

Exposure-lag-response associations shed light on the duration of pathogenesis for radiation-induced diseases. To investigate such relations for lung cancer mortality in the German uranium miners of the Wismut company, we apply distributed lag non-linear models (DLNMs) which offer a flexible description of the lagged risk response to protracted radon exposure. Exposure-lag functions are implemented with B-Splines in Cox models of proportional hazards. The DLNM approach yielded good agreement of exposure-lag-response surfaces for the German cohort and for the previously studied cohort of American Colorado miners. For both cohorts, a minimum lag of about 2 year for the onset of risk after first exposure explained the data well, but possibly with large uncertainty. Risk estimates from DLNMs were directly compared with estimates from both standard radio-epidemiological models and biologically based mechanistic models. For age > 45 year, all models predict decreasing estimates of the Excess Relative Risk (ERR). However, at younger age, marked differences appear as DLNMs exhibit ERR peaks, which are not detected by the other models. After comparing exposure-responses for biological processes in mechanistic risk models with exposure-responses for hazard ratios in DLNMs, we propose a typical period of 15 year for radon-related lung carcinogenesis. The period covers the onset of radiation-induced inflammation of lung tissue until cancer death. The DLNM framework provides a view on age-risk patterns supplemental to the standard radio-epidemiological approach and to biologically based modeling.

[Automatic ICD-10 coding : Natural language processing for German MRI reports]. / Automatische ICD-10-Codierung : Natural Language Processing für deutsche MRT-Befunde.

BACKGROUND: The medical coding of radiology reports is essential for a good quality of care and correct billing, but at the same time a complex and error-prone task. OBJECTIVE: To assess the performance of natural language processing (NLP) for ICD-10 coding of German radiology reports using fine tuning of suitable language models. MATERIAL AND METHODS: This retrospective study included all magnetic resonance imaging (MRI) radiology reports acquired at our institution between 2010 and 2020. The codes on discharge ICD-10 were matched to the corresponding reports to construct a dataset for multiclass classification. Fine tuning of GermanBERT and flanT5 was carried out on the total dataset (dstotal) containing 1035 different ICD-10 codes and 2 reduced subsets containing the 100 (ds100) and 50 (ds50) most frequent codes. The performance of the model was assessed using top­k accuracy for k = 1, 3 and 5. In an ablation study both models were trained on the accompanying metadata and the radiology report alone. RESULTS: The total dataset consisted of 100,672 radiology reports, the reduced subsets ds100 of 68,103 and ds50 of 52,293 reports. The performance of the model increased when several of the best predictions of the model were taken into consideration, when the number of target classes was reduced and the metadata were combined with the report. The flanT5 outperformed GermanBERT across all datasets and metrics and was is suited as a medical coding assistant, achieving a top 3 accuracy of nearly 70% in the real-world dataset dstotal. CONCLUSION: Finely tuned language models can reliably predict ICD-10 codes of German magnetic resonance imaging (MRI) radiology reports across various settings. As a coding assistant flanT5 can guide medical coders to make informed decisions and potentially reduce the workload.

Cleaning potential of interdental brushes around orthodontic brackets - an in vitro investigation.

This study evaluated the brushing efficacy of different interdental brushes around a multibracket appliance in vitro. In four models displaying misaligned and aligned teeth with and without attachment loss, the brushing capacities of three interdental brushes (IDB) were tested: A waist-shaped IDB with a diameter of 9 mm at both ends and 5 mm in the middle (B1), a cylindrical brush with a diameter of 9 mm (B2) and one with 5 mm (B3). Before cleaning, the black teeth in the respective models were stained white with titanium (IV) oxide and the percentage of cleaned surface was planimetrically assessed. In addition, the forces applied to the IDB were also recorded. The effect of brush and model on expected cleaning performance was examined using an analysis of variance (ANOVA). The cleaning performance of the brushes in decreasing order was B2>B3>B1; no significant differences between the different tooth areas and models were found. With regard to force measurements, significant differences were found with the highest and lowest forces IDB (2) and (1), respectively. There was a significant correlation between force and cleaning performance: The higher the force needed the higher was the cleaning performance. In summary, this study showed that cylindrical interdental brushes achieved a better cleaning performance than the waist-shaped IDB. Given some shortcomings of this first laboratory study, more research is still needed, but IDB may represent a valuable yet still clinically underused tools.

Prognostic Impact of Pedicle Clamping during Liver Resection for Colorectal Metastases.

Pedicle clamping (PC) during liver resection for colorectal metastases (CRLM) is used to reduce blood loss and allogeneic blood transfusion (ABT). The effect on long-term oncologic outcomes is still under debate. A retrospective analysis of the impact of PC on ABT-demand regarding overall (OS) and recurrence-free survival (RFS) in 336 patients undergoing curative resection for CRLM was carried out. Survival analysis was performed by both univariate and multivariate methods and propensity-score (PS) matching. PC was employed in 75 patients (22%). No increased postoperative morbidity was monitored. While the overall ABT-rate was comparable (35% vs. 37%, p = 0.786), a reduced demand for more than two ABT-units was observed (p = 0.046). PC-patients had better median OS (78 vs. 47 months, p = 0.005) and RFS (36 vs. 23 months, p = 0.006). Multivariate analysis revealed PC as an independent prognostic factor for OS (HR = 0.60; p = 0.009) and RFS (HR = 0.67; p = 0.017). For PC-patients, 1:2 PS-matching (N = 174) showed no differences in the overall ABT-rate compared to no-PC-patients (35% vs. 40%, p = 0.619), but a trend towards reduced transfusion requirement (>2 ABT-units: 9% vs. 21%, p = 0.052; >4 ABT-units: 2% vs. 11%, p = 0.037) and better survival (OS: 78 vs. 44 months, p = 0.088; RFS: 36 vs. 24 months; p = 0.029). Favorable long-term outcomes and lower rates of increased transfusion demand were observed in patients with PC undergoing resection for CRLM. Further prospective evaluation of potential oncologic benefits of PC in these patients may be meaningful.

Monocytic HLA-DR Expression for Prediction of Anastomotic Leak after Colorectal Surgery.

BACKGROUND: Earlier detection of anastomotic leakage (AL) after colorectal procedures could minimize the detrimental clinical impact of AL and thereby reduce morbidity and mortality. STUDY DESIGN: We conducted a prospective study with assessment of the diagnostic accuracy of monocytic HLA-DR (mHLA-DR) expression compared with WBCs, C-reactive protein (CRP), and procalcitonin (PCT) in predicting AL in patients undergoing elective colorectal operation with anastomosis. RESULTS: Comparison of the blood marker values on postoperative day (POD) 4 revealed significant differences for all markers, but the difference for mHLA-DR was highly significant (15% expression of monocytes in AL patients vs 34% in patients without AL; p = 0.001). Together with WBC (p = 0.026), mHLA-DR expression was the only test to show significance on day 3 (14% vs 31%; p < 0.001). Receiver operating characteristic analysis revealed that mHLA-DR expression had superior diagnostic accuracy compared with all other diagnostic markers both on POD 3 (mHLA-DR area under the curve [AUC] 0.928; WBC AUC 0.734; CRP AUC 0.707; PCT AUC 0.672) and POD 4 (mHLA-DR AUC 0.887; WBC AUC 0.738; CRP AUC 0.709; PCT AUC 0.696). Monocytic HLA-DR had a negative predictive value of at least 94% on PODs 3 and 4, as well as specificity and positive predictive values of 100% at a threshold of 23% on POD 3 and 24% on POD 4, respectively. CONCLUSIONS: Expression of mHLA-DR appears to be a more accurate predictor for AL after colorectal operation compared with WBC, CRP, and PCT. It represents a promising test to precisely monitor the perioperative course of high-risk patients and contribute to safer discharge.

Features of Age-Related Macular Degeneration in the General Adults and Their Dependency on Age, Sex, and Smoking: Results from the German KORA Study.

Age-related macular degeneration (AMD) is a vision impairing disease of the central retina characterized by early and late forms in individuals older than 50 years of age. However, there is little knowledge to what extent also younger adults are affected. We have thus set out to estimate the prevalence of early AMD features and late AMD in a general adult population by acquiring color fundus images in 2,840 individuals aged 25 to 74 years of the Cooperative Health Research in the Region of Augsburg project (KORA) in South Germany. Among the 2,546 participants with gradable images for each eye, 10.9% (n = 277) had early AMD features (applying the 9-step Age-Related Eye Disease Study Severity Scale), 0.2% (n = 6) had late AMD. Prevalence increased with age, reaching 26.3% for early AMD features and 1.9% for late AMD at the age 70+. However, signs of early AMD were found in subjects as young as 25 years, with the risk for early AMD features increasing linearly by years of age in men, and, less consistent with a linear increase, in women. Risk for early AMD features increased linearly by pack years of smoking in men, not in women, nor was there any association with other lifestyle or metabolic factors. By providing much sought-after prevalence estimates for AMD from Central Europe, our data underscores a substantial proportion of the adult population with signs of early AMD, including individuals younger than 50 years. This supports the notion that early AMD features in the young might be under-acknowledged.