Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract  Purpose  Collecting and analyzing findings constitute the basis of medical activity. Computer assisted medical activity raises the problem of modelling findings.  propose a unified representation of findings integrating the representations of findings in the GAMUTS in Radiology [M.M. Reeder, B. Felson, GAMUTS in radiology Comprehensive lists of roentgen differential diagnosis, fourth ed., 2003], the Unified Medical Language System (UMLS ® ), and the Digital Imaging and Communication in Medicine Structured Report (DICOM-SR).  Materials and Methods  Starting from a corpus of findings in bone and joint radiology [M.M. Reeder, B. Felson, GAMUTS in Radiology comprehensive lists of roentgen differential diagnosis, fourth ed., 2003] (3481 words), an automated mapping to the UMLS was performed with the Metamap Program. The resulting UMLS terms and Semantic Types re analyzed in order to find a generic template in accordance with DICOM-SR structure.  Results  UMLS Concepts re missing for 45% of the GAMUTS findings. Three kinds of regularities re observed in the way the Semantic Types re combined: "pathological findings", "physiological findings" and "anatomical findings". A generic and original DICOM-SR template modelling finding was proposed. It was evaluated for representing GAMUTS jaws findings. 21% missing terms had to be picked up from Radlex (5%) or created (16%).  Discussion-Conclusion  This article shows that it is possible to represent findings using the UMLS and the DICOM SR formalism with a semi-automated method. The Metamap program helped to find a model to represent the semantic structure of free texts with standardized terms (UMLS Concepts). Nevertheless, the coverage of the UMLS is not comprehensive. This study shows that the UMLS should include more technical concepts and more concepts regarding findings, signs and symptoms to be suitable for radiology representation. The semi-automated translation of the whole GAMUTS using the UMLS concepts and the DICOM SR relations could help to create or supplement the DCMR Templates and Context Groups pertaining to the description of imaging findings.
['Valérie Bertaud', 'Jérémy Lasbleiz', 'Mougin F', 'Anita Burgun', 'Régis Duvauferrier']
I am writing a research paper on a idea A unified representation of findings in clinical radiology using the UMLS and DICOM
[{"from": "human", "value": "I am writing a research paper on a idea A unified representation of findings in clinical radiology using the UMLS and DICOM"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Abstract  Purpose  Collecting and analyzing findings constitute the basis of medical activity. Computer assisted medical activity raises the problem of modelling findings.  propose a unified representation of findings integrating the representations of findings in the GAMUTS in Radiology [M.M. Reeder, B. Felson, GAMUTS in radiology Comprehensive lists of roentgen differential diagnosis, fourth ed., 2003], the Unified Medical Language System (UMLS \u00ae ), and the Digital Imaging and Communication in Medicine Structured Report (DICOM-SR).  Materials and Methods  Starting from a corpus of findings in bone and joint radiology [M.M. Reeder, B. Felson, GAMUTS in Radiology comprehensive lists of roentgen differential diagnosis, fourth ed., 2003] (3481 words), an automated mapping to the UMLS was performed with the Metamap Program. The resulting UMLS terms and Semantic Types re analyzed in order to find a generic template in accordance with DICOM-SR structure.  Results  UMLS Concepts re missing for 45% of the GAMUTS findings. Three kinds of regularities re observed in the way the Semantic Types re combined: \"pathological findings\", \"physiological findings\" and \"anatomical findings\". A generic and original DICOM-SR template modelling finding was proposed. It was evaluated for representing GAMUTS jaws findings. 21% missing terms had to be picked up from Radlex (5%) or created (16%).  Discussion-Conclusion  This article shows that it is possible to represent findings using the UMLS and the DICOM SR formalism with a semi-automated method. The Metamap program helped to find a model to represent the semantic structure of free texts with standardized terms (UMLS Concepts). Nevertheless, the coverage of the UMLS is not comprehensive. This study shows that the UMLS should include more technical concepts and more concepts regarding findings, signs and symptoms to be suitable for radiology representation. The semi-automated translation of the whole GAMUTS using the UMLS concepts and the DICOM SR relations could help to create or supplement the DCMR Templates and Context Groups pertaining to the description of imaging findings."}]