Additional file 1: of Relationship of CT-quantified emphysema, small airways disease and bronchial wall dimensions with physiological, inflammatory and infective measures in COPD

Table S1. Spearman’s correlation analysis between CT parameters and sputum markers (all sputum samples). Table S2. CT parameters in subjects according to sputum Bacterial PCR Detection. Figure S1. Scatterplots of (A) %LAA<− 950 against Pi10 (rho − 0.36***, p < 0.001) (B) E/I MLD against Pi10 (rho 0.18*, p 0.045) (C) %LAA<− 950 against E/I MLD (rho 0.47***, p < 0.001). (DOCX 74 kb

Data_Sheet_1_Assessment of body composition in breast cancer patients: concordance between transverse computed tomography analysis at the fourth thoracic and third lumbar vertebrae.docx

IntroductionSpecific body composition markers derived from L3 axial computed tomography (CT) images predict clinical cancer outcomes, including chemotherapy toxicity and survival. However, this method is only applicable to those undergoing lumbar (L3) CT scanning, which is not universally conducted in early breast cancer cases. This study aimed to evaluate CT analysis at T4 as a feasible alternative marker of body composition in breast cancer.MethodAll patients participated in the Investigating Outcomes from Breast Cancer: Correlating Genetic, Immunological, and Nutritional (BeGIN) Predictors observational cohort study (REC reference number: 14/EE/1297). Staging chest-abdomen-pelvic CT scan images from 24 women diagnosed with early breast cancer at University Hospital Southampton were analysed. Adipose tissue, skeletal muscle, and muscle attenuation were measured from the transverse CT slices’ cross-sectional area (CSA) at T4 and L3. Adipose tissue and skeletal muscle area measurements were adjusted for height. Spearman’s rank correlation coefficient analysis was used to determine concordance between body composition measurements using CT analysis at L3 and T4 regions.ResultsDerived estimates for total adipose tissue, subcutaneous adipose tissue, and intramuscular adipose tissue mass following adjustment for height were highly concordant when determined from CSAs of CT slices at T4 and L3 (Rs = 0.821, p s = 0.816, p s = 0.830, p s = 0.477, p = 0.039 and Rs = 0.578, p = 0.003). The assessment of muscle attenuation was also highly concordant when measured by CT at T4 and L3 (Rs = 0.840, p DiscussionThese results suggest that the CT analysis at T4 and L3 provides highly concordant markers for total adipose, subcutaneous adipose, and intramuscular adipose estimation, but not VAT, in this breast cancer population. High concordance between T4 and L3 was also found when assessing skeletal muscle attenuation. Lower concordance was observed for the estimates of skeletal muscle area, potentially explained by differences in the quantity and proportions of axial and appendicular muscle between the thorax and abdomen. Future studies will determine the value of T4 metrics as predictive tools for clinical outcomes in breast cancer.</p

Additional file 2: of Impact of radiologically stratified exacerbations: insights into pneumonia aetiology in COPD

Table S1. Radiological findings at exacerbation. Table S2. Exacerbation treatment stratified by the presence or absence of radiographic pneumonic infiltrate. Table S3. Bacterial identification by culture and PCR in all exacerbation sputum samples and those exacerbation sputum samples with fewer than 30% squamous cells (considered high quality). Table S4. Bacterial and viral identification at exacerbation by culture (bacteria) and PCR (bacteria/viral). Table S5. Levels of inflammatory markers at paired stable and exacerbation visits. Table S6. Changes in levels of serum inflammatory markers between stable (pre-exacerbation) and exacerbation samples. Table S7. Levels of serum inflammatory markers at paired stable and exacerbation visits. The occurrence of the first infiltrate-associated exacerbation where available was prioritised, or first non-infiltrative exacerbation if not (subjects are therefore only represented once). Table S8. Lung function changes between nearest stable-state and exacerbation visits, stratified by the presence/absence of pneumonic infiltrate. Figure S1. The proportion of bacterial positive sputum samples at exacerbation by both culture and PCR. Figure S2. The lung microbiome (phylum) of exacerbations stratified by the presence or absence of pneumonic infiltrate. Figure S3. Area under the receiver operator curve analysis for CRP, fibrinogen and neutrophil count. (DOCX 232 kb