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  • DeSouza, Nandita M.Inst Canc Res, England; Royal Marsden NHS Fdn Trust, England (author)

Standardised lesion segmentation for imaging biomarker quantitation : a consensus recommendation from ESR and EORTC

  • Article/chapterEnglish2022

Publisher, publication year, extent ...

  • 2022-10-04
  • Springer,2022
  • electronicrdacarrier

Numbers

  • LIBRIS-ID:oai:DiVA.org:liu-189471
  • https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-189471URI
  • https://doi.org/10.1186/s13244-022-01287-4DOI

Supplementary language notes

  • Language:English
  • Summary in:English

Part of subdatabase

Classification

  • Subject category:ref swepub-contenttype
  • Subject category:art swepub-publicationtype

Notes

  • 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]
  • 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.

Subject headings and genre

Added entries (persons, corporate bodies, meetings, titles ...)

  • van Der Lugt, AadUniv Med Ctr, Netherlands (author)
  • Deroose, Christophe M.Univ Hosp Leuven, Belgium; Katholieke Univ Leuven, Belgium (author)
  • Alberich-Bayarri, AngelQuantitat Imaging Biomarkers Med QUIBIM, Spain (author)
  • Bidaut, LucUniv Lincoln, England (author)
  • Fournier, LaureUniv Paris, France (author)
  • Costaridou, LenaUniv Patras, Greece (author)
  • Oprea-Lager, Daniela E.Vrije Univ Amsterdam, Netherlands (author)
  • Kotter, ElmarUniv Med Ctr Freiburg, Germany (author)
  • Smits, MarionUniv Med Ctr, Netherlands (author)
  • Mayerhoefer, Marius E.Med Univ Vienna, Austria; Mem Sloan Kettering Canc Ctr, NY 10021 USA (author)
  • Boellaard, RonaldVrije Univ Amsterdam, Netherlands (author)
  • Caroli, AnnaIst Ric Farmacol Mario Negri IRCCS, Italy (author)
  • De Geus-Oei, Lioe-FeeLeiden Univ, Netherlands; Univ Twente, Netherlands (author)
  • Kunz, Wolfgang G.Ludwig Maximilians Univ Munchen, Germany (author)
  • Oei, Edwin H.Univ Med Ctr, Netherlands (author)
  • Lecouvet, FredericUniv Catholique Louvain UCLouvain, Belgium (author)
  • Franca, ManuelaUniv Porto, Portugal (author)
  • Loewe, ChristianMed Univ Vienna, Austria (author)
  • Lopci, EgestaIRCCS Humanitas Res Hosp, Italy (author)
  • Caramella, CarolineUniv Paris Saclay, France (author)
  • Persson, AndersLinköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Röntgenkliniken i Linköping(Swepub:liu)andpe75 (author)
  • Golay, XavierUCL, England (author)
  • Dewey, MarcCharite Univ Med Berlin, Germany (author)
  • OConnor, James P. B.Inst Canc Res, England; Royal Marsden NHS Fdn Trust, England (author)
  • DeGraaf, PimVrije Univ Amsterdam, Netherlands (author)
  • Gatidis, SergiosUniv Tubingen, Germany (author)
  • Zahlmann, GudrunRadiol Soc North Amer RSNA, IL USA (author)
  • Inst Canc Res, England; Royal Marsden NHS Fdn Trust, EnglandUniv Med Ctr, Netherlands (creator_code:org_t)

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  • In:Insights into Imaging: Springer13:11869-4101

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