How Using Dedicated Software Can Improve RECIST Readings
Decision support tools exist for oncologic follow up. Their main interest is to help physicians improve their oncologic readings but this theoretical benefit has to be quantified by concrete evidence. The purpose of the study was to evaluate and quantify the impact of using dedicated software on REC...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2014-09-01
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| Series: | Informatics |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2227-9709/1/2/160 |
| _version_ | 1817999100320153600 |
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| author | Amandine René Sophie Aufort Salim Si Mohamed Jean Pierre Daures Stéphane Chemouny Christophe Bonnel Benoit Gallix |
| author_facet | Amandine René Sophie Aufort Salim Si Mohamed Jean Pierre Daures Stéphane Chemouny Christophe Bonnel Benoit Gallix |
| author_sort | Amandine René |
| collection | DOAJ |
| description | Decision support tools exist for oncologic follow up. Their main interest is to help physicians improve their oncologic readings but this theoretical benefit has to be quantified by concrete evidence. The purpose of the study was to evaluate and quantify the impact of using dedicated software on RECIST readings. A comparison was made between RECIST readings without dedicated application vs. readings using dedicated software (Myrian® XL-Onco, Intrasense, France) with specific functionalities such as 3D elastic target matching and automated calculation of tumoral response. A retrospective database of 40 patients who underwent a CT scan follow up was used (thoracic/abdominal lesions). The reading panel was composed of two radiologists. Reading times, intra/inter-operator reproducibility of measurements and RECIST response misclassifications were evaluated. On average, reading time was reduced by 49.7% using dedicated software. A more important saving was observed for lung lesions evaluations (63.4% vs. 36.1% for hepatic targets). Inter and intra-operator reproducibility of measurements was excellent for both reading methods. Using dedicated software prevented misclassifications on 10 readings out of 120 (eight due to calculation errors). The use of dedicated oncology software optimises RECIST evaluation by decreasing reading times significantly and avoiding response misclassifications due to manual calculation errors or approximations. |
| first_indexed | 2024-04-14T03:03:31Z |
| format | Article |
| id | doaj.art-368a5b0fd1cc47fab7227e2acdd80bc6 |
| institution | Directory Open Access Journal |
| issn | 2227-9709 |
| language | English |
| last_indexed | 2024-04-14T03:03:31Z |
| publishDate | 2014-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Informatics |
| spelling | doaj.art-368a5b0fd1cc47fab7227e2acdd80bc62022-12-22T02:15:50ZengMDPI AGInformatics2227-97092014-09-011216017310.3390/informatics1020160informatics1020160How Using Dedicated Software Can Improve RECIST ReadingsAmandine René0Sophie Aufort1Salim Si Mohamed2Jean Pierre Daures3Stéphane Chemouny4Christophe Bonnel5Benoit Gallix6University of Montpellier I & II/Intrasense SA, Montpellier 34000, FranceMedical Imaging Service, Clinique du Parc, Castelnau-Le-Lez 34170, FranceMedical Imaging Service, Clinique du Parc, Castelnau-Le-Lez 34170, FranceUniversity of Montpellier I, Epidemiology Biostatistics and Public Health, IURC, Montpellier 34000, FranceIntrasense, SA, 1231 Avenue du Mondial 98, Montpellier 34000, FranceIntrasense, SA, 1231 Avenue du Mondial 98, Montpellier 34000, FranceDepartment of Radiology, McGill University, Montréal, QC, CanadaDecision support tools exist for oncologic follow up. Their main interest is to help physicians improve their oncologic readings but this theoretical benefit has to be quantified by concrete evidence. The purpose of the study was to evaluate and quantify the impact of using dedicated software on RECIST readings. A comparison was made between RECIST readings without dedicated application vs. readings using dedicated software (Myrian® XL-Onco, Intrasense, France) with specific functionalities such as 3D elastic target matching and automated calculation of tumoral response. A retrospective database of 40 patients who underwent a CT scan follow up was used (thoracic/abdominal lesions). The reading panel was composed of two radiologists. Reading times, intra/inter-operator reproducibility of measurements and RECIST response misclassifications were evaluated. On average, reading time was reduced by 49.7% using dedicated software. A more important saving was observed for lung lesions evaluations (63.4% vs. 36.1% for hepatic targets). Inter and intra-operator reproducibility of measurements was excellent for both reading methods. Using dedicated software prevented misclassifications on 10 readings out of 120 (eight due to calculation errors). The use of dedicated oncology software optimises RECIST evaluation by decreasing reading times significantly and avoiding response misclassifications due to manual calculation errors or approximations.http://www.mdpi.com/2227-9709/1/2/160software evaluationoncologyfollow-upclinical researchdaily routineworkflow improvementefficiencydecision support software |
| spellingShingle | Amandine René Sophie Aufort Salim Si Mohamed Jean Pierre Daures Stéphane Chemouny Christophe Bonnel Benoit Gallix How Using Dedicated Software Can Improve RECIST Readings Informatics software evaluation oncology follow-up clinical research daily routine workflow improvement efficiency decision support software |
| title | How Using Dedicated Software Can Improve RECIST Readings |
| title_full | How Using Dedicated Software Can Improve RECIST Readings |
| title_fullStr | How Using Dedicated Software Can Improve RECIST Readings |
| title_full_unstemmed | How Using Dedicated Software Can Improve RECIST Readings |
| title_short | How Using Dedicated Software Can Improve RECIST Readings |
| title_sort | how using dedicated software can improve recist readings |
| topic | software evaluation oncology follow-up clinical research daily routine workflow improvement efficiency decision support software |
| url | http://www.mdpi.com/2227-9709/1/2/160 |
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