Davit L. Aghayan, Egidijus Pelanis, Åsmund Avdem Fretland, Airazat M. Kazaryan, Mushegh A. Sahakyan, Bård I. Røsok, Leonid Barkhatov, Bjørn Atle Bjørnbeth, Ole Jakob Elle and Bjørn Edwin
Patient characteristics (N = 296)
Age, years, median (range)
BMI, kg, median, (range)
Neoadjuvant chemotherapy yes/no/no information
Preoperative CEA, median (range)
Extrahepatic disease at the time of liver resection, n (%)
Liver involvement (unilobar/bilobar)
ASA = American Society of Anestesiology; BMI = body mass index; CEA
Tanja Mesti, Nadia Bouchemal, Claire Banissi, Mohamed N. Triba, Carole Marbeuf-Gueye, Maja Cemazar, Laurence Le Moyec, Antoine F. Carpentier, Philippe Savarin and Janja Ocvirk
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
Natasa Smrekar, David Drobne, Lojze M. Smid, Ivan Ferkolj, Borut Stabuc, Alojz Ihan and Andreja Natasa Kopitar
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
Demographic data of the patients and healthy controls enrolled in the study
Sati Akbaba, Jan Tobias Oelmann-Avendano, Tilman Bostel, Harald Rief, Nils Henrik Nicolay, Juergen Debus, Katja Lindel and Robert Foerster
. 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
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
Borut Kobal, Marco Noventa, Branko Cvjeticanin, Matija Barbic, Leon Meglic, Marusa Herzog, Giulia Bordi, Amerigo Vitagliano, Carlo Saccardi and Erik Skof
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
Natale Quartuccio, Giorgio Treglia, Marco Salsano, Maria Vittoria Mattoli, Barbara Muoio, Arnoldo Piccardo, Egesta Lopci and Angelina Cistaro
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.
Tiberiu Nyulas, Emese Marton, Victoria Ancuta Rus, Nora Rat, Mihaela Ratiu, Theodora Benedek and Imre Benedek
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
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