Sökning: onr:"swepub:oai:DiVA.org:liu-189471" > Standardised lesion...
Fältnamn | Indikatorer | Metadata |
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000 | 06221naa a2200649 4500 | |
001 | oai:DiVA.org:liu-189471 | |
003 | SwePub | |
008 | 221025s2022 | |||||||||||000 ||eng| | |
024 | 7 | a https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1894712 URI |
024 | 7 | a https://doi.org/10.1186/s13244-022-01287-42 DOI |
040 | a (SwePub)liu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a ref2 swepub-contenttype |
072 | 7 | a art2 swepub-publicationtype |
100 | 1 | a DeSouza, Nandita M.u Inst Canc Res, England; Royal Marsden NHS Fdn Trust, England4 aut |
245 | 1 0 | a Standardised lesion segmentation for imaging biomarker quantitation :b a consensus recommendation from ESR and EORTC |
264 | c 2022-10-04 | |
264 | 1 | b Springer,c 2022 |
338 | a electronic2 rdacarrier | |
500 | a Funding Agencies|European Union [826494, 952159, 952172, 101057699]; NIH/NCI Cancer Center Support Grant [P30 CA008748]; National Institute for Health Research University College London Hospitals Biomedical Research Centre; French government under management of the Agence Nationale de la Recherche as part of the "Investissements davenir" program [ANR19-P3IA-0001] | |
520 | a Background Lesion/tissue segmentation on digital medical images enables biomarker extraction, image-guided therapy delivery, treatment response measurement, and training/validation for developing artificial intelligence algorithms and workflows. To ensure data reproducibility, criteria for standardised segmentation are critical but currently unavailable. Methods A modified Delphi process initiated by the European Imaging Biomarker Alliance (EIBALL) of the European Society of Radiology (ESR) and the European Organisation for Research and Treatment of Cancer (EORTC) Imaging Group was undertaken. Three multidisciplinary task forces addressed modality and image acquisition, segmentation methodology itself, and standards and logistics. Devised survey questions were fed via a facilitator to expert participants. The 58 respondents to Round 1 were invited to participate in Rounds 2-4. Subsequent rounds were informed by responses of previous rounds. Results/conclusions Items with >= 75% consensus are considered a recommendation. These include system performance certification, thresholds for image signal-to-noise, contrast-to-noise and tumour-to-background ratios, spatial resolution, and artefact levels. Direct, iterative, and machine or deep learning reconstruction methods, use of a mixture of CE marked and verified research tools were agreed and use of specified reference standards and validation processes considered essential. Operator training and refreshment were considered mandatory for clinical trials and clinical research. Items with a 60-74% agreement require reporting (site-specific accreditation for clinical research, minimal pixel number within lesion segmented, use of post-reconstruction algorithms, operator training refreshment for clinical practice). Items with <= 60% agreement are outside current recommendations for segmentation (frequency of system performance tests, use of only CE-marked tools, board certification of operators, frequency of operator refresher training). Recommendations by anatomical area are also specified. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Radiologi och bildbehandling0 (SwePub)302082 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Radiology, Nuclear Medicine and Medical Imaging0 (SwePub)302082 hsv//eng |
653 | a Segmentation and standardisation; mDelphi; Region of interest; Organ-specific; Modality-specific | |
700 | 1 | a van Der Lugt, Aadu Univ Med Ctr, Netherlands4 aut |
700 | 1 | a Deroose, Christophe M.u Univ Hosp Leuven, Belgium; Katholieke Univ Leuven, Belgium4 aut |
700 | 1 | a Alberich-Bayarri, Angelu Quantitat Imaging Biomarkers Med QUIBIM, Spain4 aut |
700 | 1 | a Bidaut, Lucu Univ Lincoln, England4 aut |
700 | 1 | a Fournier, Laureu Univ Paris, France4 aut |
700 | 1 | a Costaridou, Lenau Univ Patras, Greece4 aut |
700 | 1 | a Oprea-Lager, Daniela E.u Vrije Univ Amsterdam, Netherlands4 aut |
700 | 1 | a Kotter, Elmaru Univ Med Ctr Freiburg, Germany4 aut |
700 | 1 | a Smits, Marionu Univ Med Ctr, Netherlands4 aut |
700 | 1 | a Mayerhoefer, Marius E.u Med Univ Vienna, Austria; Mem Sloan Kettering Canc Ctr, NY 10021 USA4 aut |
700 | 1 | a Boellaard, Ronaldu Vrije Univ Amsterdam, Netherlands4 aut |
700 | 1 | a Caroli, Annau Ist Ric Farmacol Mario Negri IRCCS, Italy4 aut |
700 | 1 | a De Geus-Oei, Lioe-Feeu Leiden Univ, Netherlands; Univ Twente, Netherlands4 aut |
700 | 1 | a Kunz, Wolfgang G.u Ludwig Maximilians Univ Munchen, Germany4 aut |
700 | 1 | a Oei, Edwin H.u Univ Med Ctr, Netherlands4 aut |
700 | 1 | a Lecouvet, Fredericu Univ Catholique Louvain UCLouvain, Belgium4 aut |
700 | 1 | a Franca, Manuelau Univ Porto, Portugal4 aut |
700 | 1 | a Loewe, Christianu Med Univ Vienna, Austria4 aut |
700 | 1 | a Lopci, Egestau IRCCS Humanitas Res Hosp, Italy4 aut |
700 | 1 | a Caramella, Carolineu Univ Paris Saclay, France4 aut |
700 | 1 | a Persson, Andersu Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Röntgenkliniken i Linköping4 aut0 (Swepub:liu)andpe75 |
700 | 1 | a Golay, Xavieru UCL, England4 aut |
700 | 1 | a Dewey, Marcu Charite Univ Med Berlin, Germany4 aut |
700 | 1 | a OConnor, James P. B.u Inst Canc Res, England; Royal Marsden NHS Fdn Trust, England4 aut |
700 | 1 | a DeGraaf, Pimu Vrije Univ Amsterdam, Netherlands4 aut |
700 | 1 | a Gatidis, Sergiosu Univ Tubingen, Germany4 aut |
700 | 1 | a Zahlmann, Gudrunu Radiol Soc North Amer RSNA, IL USA4 aut |
710 | 2 | a Inst Canc Res, England; Royal Marsden NHS Fdn Trust, Englandb Univ Med Ctr, Netherlands4 org |
773 | 0 | t Insights into Imagingd : Springerg 13:1q 13:1x 1869-4101 |
856 | 4 | u https://liu.diva-portal.org/smash/get/diva2:1706097/FULLTEXT01.pdfx primaryx Raw objecty fulltext:print |
856 | 4 8 | u https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189471 |
856 | 4 8 | u https://doi.org/10.1186/s13244-022-01287-4 |
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