1,721,063 research outputs found
sj-txt-1-cix-10.1177_11769351211056298 – Supplemental material for Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data
No full textSupplemental material, sj-txt-1-cix-10.1177_11769351211056298 for Sparse Regression in Cancer Genomics: Comparing Variable Selection and Predictions in Real World Data by Robert J O’Shea, Sophia Tsoka, Gary JR Cook and Vicky Goh in Cancer Informatics</p
Texture_appendix_1a_xyz1487273ad138b – Supplemental material for Assessment of the Spatial Heterogeneity of Breast Cancers: Associations Between Computed Tomography and Immunohistochemistry
No full textSupplemental material, Texture_appendix_1a_xyz1487273ad138b for Assessment of the Spatial Heterogeneity of Breast Cancers: Associations Between Computed Tomography and Immunohistochemistry by David K Woolf, Sonia P Li, Simone Detre, Alison Liu, Andrew Gogbashian, Ian C Simcock, James Stirling, Michael Kosmin, Gary J Cook, Muhammad Siddique, Mitch Dowsett, Andreas Makris and Vicky Goh in Biomarkers in Cancer</p
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
18F-FDG PET/MRI versus PET/CT in staging Gastro-Esophageal Junction cancer
No full textPurpose: To compare F-18-Flurodeoxyglucose(FDG)-positron-emission-tomography/magnetic-resonance-imaging(PET/MRI) and PET/computed-tomography(PET/CT) in staging of gastro-esophageal junction(GEJ) cancer.
Materials and Methods: Following IRB approval and informed consent, 24 patients with histologically proven GEJ cancer were prospectively recruited; 4 patients were excluded for technical reasons (19 male, 1 female; mean 68.3 +/- 9.1 years). Patients were injected with 326+/-28 MBq F-18-FDG intravenously for the clinical PET/CT. Uptake time was 60 minutes. PET/MRI was acquired directly after the PET/CT. 2 experienced radiologists and nuclear physicians reviewed the images and defined the PET/MRI-TNM stage in consensus. PET/CT NM-stage was defined clinically. They were compared to the multidisciplinary team meeting(MDT) stage, which was defined by contrast enhanced CT+/-endoscopic ultrasonography(EUS). Sensitivity(SE), Specificity(SP), positive predictive value(PPV), negative predictive value(NPV) and accuracy(AC) were calculated. McNemar test was performed to assess differences between different modalities.
Results: For PET/MRI T-stage was concurred with MDT stage in 14 (70%) of 20 patients. Differences in T-stages between PET/MRI and MDT were statistically significant (p=0.03) (Table1). In our cohort, PET/MRI upstaged three T3 primary lesions as T4 and correctly assigned two T4 lesions. Both PET/MRI and PET/CT agreed in N-and M-staging in all patients. Differences in N-stage between hybrid modalities and MDT were significant (p=0.03) (6 of 20 patients) (Table2). SE, SP, PPV, NPV and AC for detection of lymph node metastases were 94%, 100%, 100%, 67% and 95% for both imaging modalities.
Conclusions: PET/MRI and PET/CT performed similarly in N and M staging. PET/MRI has advantages over PET/CT in providing additional T-stage.
Clinical Relevance statement: PET/MRI might be used for staging of patients with cancer of GOJ in the future.
Table 1: Differences in T-stage.
PET/MRI MDT
3 4
4 3
2 3
4 3
4 3
2 3
4 4
Table 2: Differences in N-stage.
PET/MRI PET/MRI MDT
2 2 1
0 0 1
2 2 1
2 2 3
2 2 3
1 1
Are staging F-18-FDG PET/MRI radiomic features associated with metastases in cancer of the gastro-esophageal junction?
No full textPurpose: To identify quantitative imaging biomarkers at staging F-18-Fluorodeoxyglucose (FDG)-positron-emission-tomography/magnetic-resonance-imaging (PET/MRI) for predicting distant metastasis in patients with gastro-esophageal junction(GEJ) cancer.
Materials and Methods: Following IRB approval and informed consent, 24 patients with histologically proven GEJ cancer were prospectively recruited; 4 patients were excluded for technical reasons. Finally, 19 male and 1 female (68.3±9.1 years) were considered. Patients were injected with 326±28 MBq FDG intravenously. Uptake time was 90 minutes. Two experienced radiologists and nuclear physicians reviewed the images in consensus. Maximum standardized uptake value (SUVmax) and tumor size were analyzed. First-order and second-order statistical texture features were computed on SUV values of the whole tumor volume. k-means clustering algorithm was used to assess the correlation of feature-pairs with the presence of distant metastases. Sensitivity (SE), specificity (SP), positive predictive value (PPV), negative predictive value (NPV) and accuracy (ACC) were calculated to quantify the discrimination ability of features.
Results: Second-order entropy and maximum probability, linked to texture irregularity and homogeneity respectively, were the best feature-pair in discriminating patients with and without metastatic disease (SE=80%, SP=70%, PPV=73%, NPV=78%, ACC=75%). SUVmax (SE=80%, SP=30%, PPV=53%, NPV=60%, ACC=55%) and tumor size (SE=90%, SP=10%, PPV=50%, NPV=50%, ACC=50%) performed worse, particularly for specificity.
Conclusions: These results confirm the common expectation that greater intra-tumor heterogeneity correlates with metastatic potential. The extraction of advanced quantitative PET imaging features from the primary lesion may help prognostication.
Clinical Relevance statement: Radiomics may help in improving prognostication at staging
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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