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Laparoscopic parenchyma-sparing liver resection for colorectal metastases

). Table 1 Patient characteristics (N = 296) Age, years, median (range) 66 (29–89) Gender (female/male) 110/186 BMI, kg, median, (range) 25 (16–42) ASA score 2 (1–3) Synchronous/metachronous 224/72 Neoadjuvant chemotherapy yes/no/no information 122/168/6 Preoperative CEA, median (range) 12 (1–498) Extrahepatic disease at the time of liver resection, n (%) 21 (7.1) Liver involvement (unilobar/bilobar) 233/63 ASA = American Society of Anestesiology; BMI = body mass index; CEA

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Nuclear magnetic resonance metabolic fingerprint of bevacizumab in mutant IDH1 glioma cells

predict new data is expressed by the values of the parameters R2 and Q2. R2=1 indicates a perfect description of the data while Q2 = 1 indicates a perfect prediction of new data. Results are visualized by the scores and loadings plots. The scores plot shows the separation between groups. Scores are represented as a projection of the different samples on the predictive (Tpred) and the orthogonal (Torth) component. The loadings plot shows the distribution of the corresponding variables responsible for the separation observed in the scores plot. PCA and OPLS were conducted

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Dendritic cell profiles in the inflamed colonic mucosa predict the responses to tumor necrosis factor alpha inhibitors in inflammatory bowel disease

score 3 3 and for Crohn’s disease as an HBSI ≥ 5. Biochemical activity assessment included the measurement of C-reactive protein (CRP) (ADVIA 1800 Chemistry System, Siemens) and faecal calprotectin levels (Calprest assay with a range from 15.6 mg/kg - 500 mg/kg, Eurospital, Trieste, Italy). Endoscopic disease activity (defined as SES-CD ≥ 3 or Mayo endoscopic score ≥ 2) was confirmed in all patients with ileocolonoscopies at the time of inclusion. 33 , 34 TABLE 1 Demographic data of the patients and healthy controls enrolled in the study Number

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Percutaneous parametrial dose escalation in women with advanced cervical cancer: feasibility and efficacy in relation to long-term quality of life

. Prognostic factors for survival were analyzed with the log-rank test (univariate analysis) and a Cox proportional hazards model (multivariate analysis). Three years (median; range 2–8 years) after treatment, patients were approached during clinical follow-up examinations and asked to fill-in the European Organization for Research and Treatment of Cancer (EORTC) Quality of Life Questionnaire for Cancer Patients 30 (QLQ-C30) and the Cervical Cancer Module (QLQ-CX24). Thirty-one women agreed to participate. The difference between patients’ QoL items scores and published

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Multiparametric MRI - local staging of prostate cancer and beyond

disease and thus a higher rate of cancer specific mortality. 6 , 7 , 8 , Traditionally, staging of prostate cancer has been performed using nomograms such as Partin tables which are based on digital rectal examination (DRE), prostate-specific antigen (PSA) levels, Gleason score and percentage core involvement as a surrogate of lesion volume. 9 , 10 , 11 , This approach often underestimates the true stage of the disease and has been shown to be inferior to MRI 12 , with the combination of MRI findings and nomograms showing significant added value for predicting

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Primary debulking surgery versus primary neoadjuvant chemotherapy for high grade advanced stage ovarian cancer: comparison of survivals

in evaluating the feasibility of a successful PDS; at this regard recent prospective studies demonstrated a good accuracy of laparoscopic score in predicting residual disease after PDS. 7 However, randomized trials are mandatory to confirm these encouraging results. For patients in whom a complete cytoreduction during primary surgery is not expected, neoadjuvant chemotherapy (NACT) followed by interval debulking surgery (IDS) is considered the most appropriate therapeutic option. 2 , 8 Recent studies demonstrated that such strategy allows higher rate of

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The role of Fluorine-18-Fluorodeoxyglucose positron emission tomography in staging and restaging of patients with osteosarcoma

with 11C-Choline PET-CT: relation to tumour stage, Gleason score and biomarkers of biologic aggressiveness. Radiol Oncol 2012; 46: 179-88. 15. Kim JS, Jeong YJ, Sohn MH, Jeong HJ, Lim ST, Kim DW, et al. Usefulness of F-18 FDG PET/CT in subcutaneous panniculitis-like T cell lymphoma: disease extent and treatment response evaluation. Radiol Oncol 2012; 46: 279-83. 16. Lakkaraju A, Patel CN, Bradley KM, Scarsbrook AF. PET/CT in primary musculoskeletal tumours: a step forward. Eur Radiol 2010; 20 : 2959-72. 17

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Morphological Features and Plaque Composition in Culprit Atheromatous Plaques of Patients with Acute Coronary Syndromes

Management of a Massive Intracoronary Thrombus in ST Elevation Myocardial Infarction: A Case Report. 2007;58:106-111. doi: https://doi.org/10.1177/0003319706295511 . 33. Kang SJ, Nakano M, Virmani R, et al. OCT Findings in Patients With Recanalization of Organized Thrombi in Coronary Arteries. JACC: Cardiovascular Imaging. 2012;5:725-732. doi: https://doi.org/10.1016/j.jcmg.2012.03.012 . 34. Benedek T, Bucur O, Pascanu I, Benedek I. Analysis of coronary plaque morphology by 64-multislice computed tomography coronary angiography and calcium scoring in patients

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A Comparative Preliminary Study on CT Contrast Attenuation Gradient Versus Invasive FFR in Patients with Unstable Angina

with anatomical risk stratification in complex coronary artery disease: the noninvasive functional SYNTAX score. Cardiovasc Diagn Ther. 2017;7:151-158. doi: 10.21037/cdt.2017.03.19. 25. Han D, Starikov A, Ó Hartaigh B, et al. Relationship Between Endothelial Wall Shear Stress and High-Risk Atherosclerotic Plaque Characteristics for Identification of Coronary Lesions That Cause Ischemia: A Direct Comparison With Fractional Flow Reserve. J Am Heart Assoc. 2016;5pii:e004186. 26. Wong DT, Ko BS, Cameron JD, et al. Transluminal attenuation gradient in coronary

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Role of Multidetector Computed Tomography in Transcatheter Aortic Valve Implantation – from Pre-procedural Planning to Detection of Post-procedural Complications

replacement in intermediate-risk patients: a propensity score analysis. Lancet. 2016;387:2218-2225. doi: 10.1016/S0140-6736(16)30073-3. 4. Achenbach S, Delgado V, Hausleiter J, Schoenhagen P, Min JK, Leipsic JA. SCCT expert consensus document on computed tomography imaging before transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR). J Cardiovasc Comput Tomogr. 2012;6:366-380. doi: 10.1016/j.jcct.2012.11.002. 5. Leipsic J, Gurvitch R, Labounty TM, et al. Multidetector computed tomography in

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