27 research outputs found
The importance of radiological controls of anastomoses after upper gastrointestinal tract surgery - a retrospective cohort study
<p>Abstract</p> <p>Introduction</p> <p>This study was designed to analyze whether routine radiological controls of anastomoses in the upper gastrointestinal tract an early detection of anastomotic leaks.</p> <p>Patients and Methods</p> <p>135 patients who underwent upper gastrointestinal tract surgery were retrospectively analyzed. Patients in the first group (n = 55) underwent routine radiological control of the anastomoses. In the second group (n = 80) the radiological control was only performed in case of clinical symptoms or signs of anastomotic leaks.</p> <p>Results</p> <p>The incidence of anastomotic leaks in the patients seen by us was 5.2%, equivalent to 7 of 135 patients In Group 1 leaks were seen in 4 of 55 patients (7,2%) in group 2 leaks were seen in 3 of 80 (3,8%). The radiological control of the anastomoses with contrast swallow showed the leakage in two cases. Twice the results were false negative. The sensitivity of computed tomography was 100%.</p> <p>Discussion</p> <p>Routine radiological control of anastomoses with contrast swallow only has low sensitivity. This procedure should not be performed routinely any more.</p> <p>The radiological control should be used in cases with signs of anastomotic leakage or with postoperatively impaired gastrointestinal passage.</p
Optimizing of preoperative computed tomography for diagnosis in patients with peritoneal carcinomatosis
<p>Abstract</p> <p>Background and Objective</p> <p>This study evaluates whether Computer Tomography is an effective procedure for preoperative staging of patients with Peritoneal Carcinomatosis.</p> <p>Method</p> <p>A sample of 37 patients was analyzed with contrast enhanced abdominal Computer Tomography, followed by surgical staging. All Computer Tomography scans were evaluated 3 times by 2 radiologists with one radiologist reviewing 2 times. The efficacy of Computer Tomography was evaluated using the Spearman correlation coefficient. Correlations were analyzed by abdominopelvic region to assess results of the Peritoneal Carcinomatosis Index (PCI) aggregating the 13 regions. Surgical findings were compared to radiological findings.</p> <p>Results</p> <p>Results indicate high correlations between the surgical and radiological Peritoneal Carcinomatosis Indices. Analyses of the intra-class correlation between the first and second reading of one radiologist suggest high intra-observer reliability. Correlations by abdominopelvic region show higher values in the upper and middle regions and relatively lower values in the lower regions and the small bowel (correlation coefficients range between 0.418 and 0.726, p < 0.010; sensitivities range between 50% and 96%; and specificities range between 62% and 100%).</p> <p>Conclusion</p> <p>Computer Tomography represents an effective procedure in the preoperative staging of patients with PC. However, results by abdominopelvic region show lower correlation, therefore suggest lower efficacy. These results are supported by analyses of sensitivity and accuracy by lesion size. This suggests that Computer Tomography is an effective procedure for pre-operative staging but less for determining a tumor's accurate extent.</p
Evaluation of Best Supportive Care and Systemic Chemotherapy as Treatment Stratified according to the retrospective Peritoneal Surface Disease Severity Score (PSDSS) for Peritoneal Carcinomatosis of Colorectal Origin
Background: We evaluate the long-term survival of patients with peritoneal carcinomatosis (PC) treated with systemic chemotherapy regimens, and the impact of the of the retrospective peritoneal disease severity score (PSDSS) on outcomes. Methods: One hundred sixty-seven consecutive patients treated with PC from colorectal cancer between years 1987-2006 were identified from a prospective institutional database. These patients either received no chemotherapy, 5-FU/Leucovorin or Oxaliplatin/Irinotecan-based chemotherapy. Stratification was made according to the retrospective PSDSS that classifies PC patients based on clinically relevant factors. Survival analysis was performed using the Kaplan-Meier method and comparison with the log-rank test. Results: Median survival was 5 months (95% CI, 3-7 months) for patients who had no chemotherapy, 11 months (95% CI, 6-9 months) for patients treated with 5 FU/LV, and 12 months (95% CI, 4-20 months) for patients treated with Oxaliplatin/Irinotecan-based chemotherapy. Survival differed between patients treated with chemotherapy compared to those patients who did not receive chemotherapy (p = 0.026). PSDSS staging was identified as an independent predictor for survival on multivariate analysis [RR 2.8 (95%CI 1.5-5.4); p < 0.001]. Conclusion: A trend towards improved outcomes is demonstrated from treatment of patients with PC from colorectal cancer using modern systemic chemotherapy. The PSDSS appears to be a useful tool in patient selection and prognostication in PC of colorectal origin
KL Estimation of the Power Spectrum Parameters from the Angular Distribution of Galaxies in Early SDSS Data
We present measurements of parameters of the 3-dimensional power spectrum of
galaxy clustering from 222 square degrees of early imaging data in the Sloan
Digital Sky Survey. The projected galaxy distribution on the sky is expanded
over a set of Karhunen-Loeve eigenfunctions, which optimize the signal-to-noise
ratio in our analysis. A maximum likelihood analysis is used to estimate
parameters that set the shape and amplitude of the 3-dimensional power
spectrum. Our best estimates are Gamma=0.188 +/- 0.04 and sigma_8L = 0.915 +/-
0.06 (statistical errors only), for a flat Universe with a cosmological
constant. We demonstrate that our measurements contain signal from scales at or
beyond the peak of the 3D power spectrum. We discuss how the results scale with
systematic uncertainties, like the radial selection function. We find that the
central values satisfy the analytically estimated scaling relation. We have
also explored the effects of evolutionary corrections, various truncations of
the KL basis, seeing, sample size and limiting magnitude. We find that the
impact of most of these uncertainties stay within the 2-sigma uncertainties of
our fiducial result.Comment: Fig 1 postscript problem correcte
MicroRNA-21 regulates breast cancer invasion partly by targeting tissue inhibitor of metalloproteinase 3 expression
<p>Abstract</p> <p>Background</p> <p>MicroRNAs are non-coding RNA molecules that posttranscriptionally regulate expression of target genes and have been implicated in the progress of cancer proliferation, differentiation and apoptosis. The aim of this study was to determine whether microRNA-21 (miR-21), a specific microRNA implicated in multiple aspects of carcinogenesis, impacts breast cancer invasion by regulating the tissue inhibitor of metalloproteinase 3 (TIMP3) gene.</p> <p>Methods</p> <p>miR-21 expression was investigated in 32 matched breast cancer and normal breast tissues, and in four human breast cancer cell lines, by Taqman quantitative real-time PCR. Cell invasive ability was determined by matrigel invasion assay in vitro, in cells transfected with miR-21 or anti-miR-21 oligonucleotides. In addition, the regulation of tissue inhibitor of metalloproteinase 3 (TIMP3) by miR-21 was evaluated by western blotting and luciferase assays.</p> <p>Results</p> <p>Of the 32 paired samples analyzed, 25 breast cancer tissues displayed overexpression of miR-21 in comparison with matched normal breast epithelium. Additionally, incidence of lymph node metastasis closely correlated with miR-21 expression, suggesting a role for miR-21 in metastasis. Similarly, each of the four breast cancer cell lines analyzed overexpressed miR-21, to varied levels. Further, cells transfected with miR-21 showed significantly increased matrigel invasion compared with control cells, whereas transfection with anti-miR-21 significantly decreased cell invasion. Evaluation of TIMP3 protein levels, a peptidase involved in extarcellular matrix degredation, inversely correlated with miR-21 expression.</p> <p>Conclusion</p> <p>As knockdown of miR-21 increased TIMP3 protein expression and luciferase reporter activity, our data suggests that miR-21 could promote invasion in breast cancer cells via its regulation of TIMP3.</p
MicroRNA-1 is a candidate tumor suppressor and prognostic marker in human prostate cancer
We previously reported that miR-1 is among the most consistently down-regulated miRs in primary human prostate tumors. In this follow-up study, we further corroborated this finding in an independent data set and made the novel observation that miR-1 expression is further reduced in distant metastasis and is a candidate predictor of disease recurrence. Moreover, we performed in vitro experiments to explore the tumor suppressor function of miR-1. Cell-based assays showed that miR-1 is epigenetically silenced in human prostate cancer. Overexpression of miR-1 in these cells led to growth inhibition and down-regulation of genes in pathways regulating cell cycle progression, mitosis, DNA replication/repair and actin dynamics. This observation was further corroborated with protein expression analysis and 3âČ-UTR-based reporter assays, indicating that genes in these pathways are either direct or indirect targets of miR-1. A gene set enrichment analysis revealed that the miR-1-mediated tumor suppressor effects are globally similar to those of histone deacetylase inhibitors. Lastly, we obtained preliminary evidence that miR-1 alters the cellular organization of F-actin and inhibits tumor cell invasion and filipodia formation. In conclusion, our findings indicate that miR-1 acts as a tumor suppressor in prostate cancer by influencing multiple cancer-related processes and by inhibiting cell proliferation and motility
The spatial clustering of X-ray selected AGN in the XMM-COSMOS field
We study the spatial clustering of 538 X-ray selected AGN in the 2 deg^2
XMM-COSMOS field that are spectroscopically identified to I_{AB}<23 and span
the redshift range z=0.2-3.0. The median redshift and luminosity of the sample
are z = 0.98 and L_{0.5-10}=6.3 x 10^{43} erg/s, respectively. A strong
clustering signal is detected at ~18sigma level, which is the most significant
measurement obtained to date for clustering of X-ray selected AGN. By fitting
the projected correlation function w(r_p) with a power law on scales of
r_p=0.3-40 Mpc/h, we derive a best fit comoving correlation length of r_0 = 8.6
+- 0.5 Mpc/h and slope of gamma=1.88 +- 0.07 (Poissonian errors; bootstrap
errors are about a factor of 2 larger). An excess signal is observed in the
range r_p~5-15 Mpc/h, which is due to a large scale structure at z ~ 0.36
containing about 40 AGN. When removing the z ~ 0.36 structure, or computing
w(r_p) in a narrower range around the peak of the redshift distribution (e.g.
z=0.4-1.6), the correlation length decreases to r_0 ~ 5-6 Mpc/h, which is
consistent with that observed for bright optical QSOs at the same redshift.
We investigate the clustering properties of obscured and unobscured AGN
separately. Within the statistical uncertainties, we do not find evidence that
AGN with broad optical lines (BLAGN) cluster differently from AGN without broad
optical lines (non-BLAGN).
The correlation length measured for XMM-COSMOS AGN at z~1 is similar to that
of massive galaxies (stellar mass M_*> 3 x 10^{10} M_sun) at the same redshift.
This suggests that AGN at z~1 are preferentially hosted by massive galaxies, as
observed both in the local and in the distant (z~2) Universe. (shortened)Comment: 16 pages, 11 figures; accepted for publication in A&A. Language
edited versio
Incidence, time course and independent risk factors for metachronous peritoneal carcinomatosis of gastric origin â a longitudinal experience from a prospectively collected database of 1108 patients
Background
Comprehensive evidence on the incidence, time course and independent risk factors of metachronous peritoneal carcinomatosis (metaPC) in gastric cancer patients treated with curative intent in the context of available systemic combination chemotherapies is lacking.
Methods
Data from a prospectively collected single-institutional Center Cancer Registry with 1108 consecutive patients with gastric adenocarcinoma (GC), clinical, histological and survival data were analyzed for independent risk factors and prognosis with focus on the development of metaPC. Findings were then stratified to the time periods of treatment with surgery alone, 5-Fluorouracil-only and contemporary combined systemic perioperative chemotherapy strategies, respectively.
Results
Despite R0 D2 gastrectomy (nâ=â560), 49.6% (±5.4%) of the patients were diagnosed with tumour recurrence and 15.5% (±1.8%) developed metaPC after a median time of 17.7 (15.1-20.3) months after surgery resulting in a tumour related mortality of 100% with a median survival of 3.0 months (2.1 â 4.0). Independent risk factors for the development of metaPC were serosa positive T-category, nodal positive-status, signet cell and undifferentiated gradings (G3/G4). Contemporary systemic combination chemotherapy did not improve the incidence and prognosis of metaPC (pâ=â0.54).
Conclusions
Despite significant improvements in the overall survival for the complete cohort with gastric cancer over time, those patients with metaPC did not experience the same benefits. The lack of change in the incidence, and persistent poor prognosis of metaPC after curative surgery expose the need for further prevention and/or improved treatment options for this devastating condition
Exploration of artificial intelligence use with ARIES in multiple myeloma research
Background: Natural language processing (NLP) is a powerful tool supporting the generation of Real-World Evidence (RWE). There is no NLP system that enables the extensive querying of parameters specific to multiple myeloma (MM) out of unstructured medical reports. We therefore created a MM-specific ontology to accelerate the information extraction (IE) out of unstructured text. Methods: Our MM ontology consists of extensive MM-specific and hierarchically structured attributes and values. We implemented âA Rule-based Information Extraction Systemâ (ARIES) that uses this ontology. We evaluated ARIES on 200 randomly selected medical reports of patients diagnosed with MM. Results: Our system achieved a high F1-Score of 0.92 on the evaluation dataset with a precision of 0.87 and recall of 0.98. Conclusions: Our rule-based IE system enables the comprehensive querying of medical reports. The IE accelerates the extraction of data and enables clinicians to faster generate RWE on hematological issues. RWE helps clinicians to make decisions in an evidence-based manner. Our tool easily accelerates the integration of research evidence into everyday clinical practice
Development and proof-of-concept of a multicenter, patient-centered cancer registry for breast cancer patients with metastatic disease â the âBreast cancer care for patients with metastatic diseaseâ (BRE-4-MED) registry
Background: Patients with metastatic breast cancer (MBC) are treated with a palliative approach with focus oncontrolling for disease symptoms and maintaining high quality of life. Information on individual needs of patients andtheir relatives as well as on treatment patterns in clinical routine care for this specific patient group are lacking or arenot routinely documented in established Cancer Registries. Thus, we developed a registry concept specifically adaptedfor these incurable patients comprising primary and secondary data as well as mobile-health (m-health) data.
Methods: The concept for patient-centered âBreast cancer care for patients with metastatic diseaseâ(BRE-4-MED)registry was developed and piloted exemplarily in the region of Main-Franconia, a mainly rural region in Germanycomprising about 1.3 M inhabitants. The registry concept includes data on diagnosis, therapy, progression, patient-reported outcome measures (PROMs), and needs of family members from several sources of information includingroutine data from established Cancer Registries in different federal states, treating physicians in hospital as well as inoutpatient settings, patients with metastatic breast cancer and their family members. Linkage with routine cancerregistry data was performed to collect secondary data on diagnosis, therapy, and progression. Paper and online-basedquestionnaires were used to assess PROMs. A dedicated mobile application software (APP) was developed to monitorneeds, progression, and therapy change of individual patients. Patientâs acceptance and feasibility of data collection inclinical routine was assessed within a proof-of-concept study.
Results: The concept for the BRE-4-MED registry was developed and piloted between September 2017 and May 2018.In total n= 31 patients were included in the pilot study, n= 22 patients were followed up after 1 month. Recordlinkage with the Cancer Registries of Bavaria and Baden-WĂŒrttemberg demonstrated to be feasible. The voluntary APP/online questionnaire was used by n= 7 participants. The feasibility of the registry concept in clinical routine waspositively evaluated by the participating hospitals.
Conclusion: The concept of the BRE-4-MED registry provides evidence that combinatorial evaluation of PROMs, needsof family members, and raising clinical parameters from primary and secondary data sources as well as m-healthapplications are feasible and accepted in an incurable cancer collective