5 research outputs found

    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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    Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency-Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.Peer reviewe

    Nodal failure patterns and utility of elective nodal irradiation in submandibular gland carcinoma treated with postoperative radiotherapy - a multicenter experience

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    Abstract Background The patterns of nodal relapse in submandibular gland carcinoma (SMGC) patients treated with postoperative radiotherapy (PORT) remain unclear. This study aims to investigate the nodal failure patterns and the utility of elective nodal irradiation (ENI) in SMGC patients undergoing PORT. Methods We retrospectively enrolled 65 SMGC patients who underwent PORT between 2000 and 2014. The nodal failure sites in relation to irradiation fields and pathological parameters were analyzed. ENI regions were categorized into three bilateral echelons (first, levels I–II; second, level III; and third, levels IV–V). Extended ENI was defined as coverage of at least the immediately adjacent uninvolved echelons bilaterally; otherwise, limited ENI was administered. Results Thirty patients (46%) were stage III–IV, and 18 (28%) were pN+. Neck irradiation included limited (72%) and extended ENI (28%). With a median follow-up of 79 months, 11 patients (17%) developed nodal failures (ipsilateral, N = 6; contralateral, N = 7), 7 (64%) of whom relapsed in the adjacent uninvolved echelons. We identified pN+ (P = 0.030), extranodal extension (ENE, P = 0.002), pT3–4 (P = 0.021), and lymphovascular invasion (LVI, P = 0.004) as significant predictors of contralateral neck recurrence. Extended ENI significantly improved regional control (RC) in patients with pN+ (P = 0.003), ENE (P = 0.022), pT3–4 (P = 0.044), and LVI (P = 0.014), and improved disease-free survival (DFS) in patients with pN+ (P = 0.034). For patients with ≥2 coincident adverse factors, extended ENI significantly increased RC (P < 0.001), distant metastasis-free survival (P = 0.019), and DFS (P = 0.007); conversely, no nodal recurrence was observed in patients without these adverse factors, even when only the involved echelon was irradiated. Conclusions Nodal failure is not uncommon in SMGC patients treated with PORT if pN+, ENE, pT3–4, and LVI are present. Extended ENI should be considered, particularly in patients with multiple pathological adverse factors

    Selected AI-related dissertations

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    Large expert-curated database for benchmarking document similarity detection in biomedical literature search

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