Medical image computing and computer-aided medical interventions applied to soft tissues. Work in progress in urology

Until recently, Computer-Aided Medical Interventions (CAMI) and Medical Robotics have focused on rigid and non deformable anatomical structures. Nowadays, special attention is paid to soft tissues, raising complex issues due to their mobility and deformation. Mini-invasive digestive surgery was probably one of the first fields where soft tissues were handled through the development of simulators, tracking of anatomical structures and specific assistance robots. However, other clinical domains, for instance urology, are concerned. Indeed, laparoscopic surgery, new tumour destruction techniques (e.g. HIFU, radiofrequency, or cryoablation), increasingly early detection of cancer, and use of interventional and diagnostic imaging modalities, recently opened new challenges to the urologist and scientists involved in CAMI. This resulted in the last five years in a very significant increase of research and developments of computer-aided urology systems. In this paper, we propose a description of the main problems related to computer-aided diagnostic and therapy of soft tissues and give a survey of the different types of assistance offered to the urologist: robotization, image fusion, surgical navigation. Both research projects and operational industrial systems are discussed

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

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

Resection de jonction pyelo-urétérale par laparoscopie (étude rétrospective de 48 cas consécutifs chez l'adulte)

But : Evaluation des résultats de la résection de la jonction pyélo-urétérale (JPU) de l'adulte par laparoscopie. Matériel et Méthodes : Etude rétrospective de 48 pyéloplasties consécutives par laparoscopie, sur une durée de 4 ans (décembre 1998 à décembre 2002), chez des adultes (27 femmes, 21 hommes) de 43.9 ans (16-83 ans) d'âge moyen. Résultats : Toutes les réparations ont été réalisées selon la technique de Küss-Anderson-Hynes, avec 42 procédures par voie rétro-péritonéale, 3 par voie intra-péritonéale et 3 conversions. Les 3 voies intra-péritonéales ont été entreprises pour des cas particuliers ; un cas de JPU sur rein pelvien droit, un cas de JPU sur rein en fer à cheval, et un cas sur duplication incomplète de la voie excrétrice. La durée moyenne d'intervention a été de 139 minutes (75-250 minutes ; médiane à 130 minutes). La conversion a été nécessaire dans 3 cas de dissection difficile, dont 2 en tout début d'expérience. La durée moyenne d'hospitalisation a été de 6.3 jours (2-18 jours, médiane : 4.5 jours). Avec un recul moyen de 19 mois (3-58 mois), le taux de succès clinique est de 97.8% et le taux de succès para-clinique (urographie intra veineuse ou scintigraphie) de 87.8%. Conclusion : La technique de pyéloplastie par laparoscopie constitue une approche mini-invasive dont les résultats sont équivalents à la voie ouverte (avec une morbidité moindre et une durée d'hospitalisation plus courte), et supérieurs aux différentes techniques d'endopyélotomie. Nous confirmons par cette série, où la majorité des patients a bénéficié d'une évaluation par scintigraphie au Mag3, la valeur de la résection de jonction pyélo-urétérale laparoscopique qui s'impose comme intervention de référence aux dépens de la voir chirurgicale classique qui ne devrait plus trouver son indication que dans les rares impossibilités techniques ou échecs.ST ETIENNE-BU Médecine (422182102) / SudocPARIS-BIUM (751062103) / SudocSudocFranceF

Medical image computing and computer-aided medical interventions applied to soft tissues. Work in progress in urology

International audienceUntil recently, Computer-Aided Medical Interventions (CAMI) and Medical Robotics have focused on rigid and non deformable anatomical structures. Nowadays, special attention is paid to soft tissues, raising complex issues due to their mobility and deformation. Mini-invasive digestive surgery was probably one of the first fields where soft tissues were handled through the development of simulators, tracking of anatomical structures and specific assistance robots. However, other clinical domains, for instance urology, are concerned. Indeed, laparoscopic surgery, new tumour destruction techniques (e.g. HIFU, radiofrequency, or cryoablation), increasingly early detection of cancer, and use of interventional and diagnostic imaging modalities, recently opened new challenges to the urologist and scientists involved in CAMI. This resulted in the last five years in a very significant increase of research and developments of computer-aided urology systems. In this paper, we propose a description of the main problems related to computer-aided diagnostic and therapy of soft tissues and give a survey of the different types of assistance offered to the urologist: robotization, image fusion, surgical navigation. Both research projects and operational industrial systems are discussed

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

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 science. © The Author(s) 2019. Published by Oxford University Press