Sökning: WFRF:(Deroose Christophe M)
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Standardised lesion...
Standardised lesion segmentation for imaging biomarker quantitation : a consensus recommendation from ESR and EORTC
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- DeSouza, Nandita M. (författare)
- Inst Canc Res, England; Royal Marsden NHS Fdn Trust, England
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- van Der Lugt, Aad (författare)
- Univ Med Ctr, Netherlands
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- Deroose, Christophe M. (författare)
- Univ Hosp Leuven, Belgium; Katholieke Univ Leuven, Belgium
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- Alberich-Bayarri, Angel (författare)
- Quantitat Imaging Biomarkers Med QUIBIM, Spain
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- Bidaut, Luc (författare)
- Univ Lincoln, England
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- Fournier, Laure (författare)
- Univ Paris, France
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- Costaridou, Lena (författare)
- Univ Patras, Greece
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- Oprea-Lager, Daniela E. (författare)
- Vrije Univ Amsterdam, Netherlands
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- Kotter, Elmar (författare)
- Univ Med Ctr Freiburg, Germany
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- Smits, Marion (författare)
- Univ Med Ctr, Netherlands
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- Mayerhoefer, Marius E. (författare)
- Med Univ Vienna, Austria; Mem Sloan Kettering Canc Ctr, NY 10021 USA
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- Boellaard, Ronald (författare)
- Vrije Univ Amsterdam, Netherlands
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- Caroli, Anna (författare)
- Ist Ric Farmacol Mario Negri IRCCS, Italy
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- De Geus-Oei, Lioe-Fee (författare)
- Leiden Univ, Netherlands; Univ Twente, Netherlands
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- Kunz, Wolfgang G. (författare)
- Ludwig Maximilians Univ Munchen, Germany
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- Oei, Edwin H. (författare)
- Univ Med Ctr, Netherlands
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- Lecouvet, Frederic (författare)
- Univ Catholique Louvain UCLouvain, Belgium
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- Franca, Manuela (författare)
- Univ Porto, Portugal
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- Loewe, Christian (författare)
- Med Univ Vienna, Austria
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- Lopci, Egesta (författare)
- IRCCS Humanitas Res Hosp, Italy
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- Caramella, Caroline (författare)
- Univ Paris Saclay, France
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- Persson, Anders (författare)
- Linköpings universitet,Avdelningen för diagnostik och specialistmedicin,Medicinska fakulteten,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Region Östergötland, Röntgenkliniken i Linköping
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- Golay, Xavier (författare)
- UCL, England
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- Dewey, Marc (författare)
- Charite Univ Med Berlin, Germany
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- OConnor, James P. B. (författare)
- Inst Canc Res, England; Royal Marsden NHS Fdn Trust, England
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- DeGraaf, Pim (författare)
- Vrije Univ Amsterdam, Netherlands
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- Gatidis, Sergios (författare)
- Univ Tubingen, Germany
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- Zahlmann, Gudrun (författare)
- Radiol Soc North Amer RSNA, IL USA
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(creator_code:org_t)
- 2022-10-04
- 2022
- Engelska.
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Ingår i: Insights into Imaging. - : Springer. - 1869-4101. ; 13:1
- Relaterad länk:
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https://liu.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- 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.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Nyckelord
- Segmentation and standardisation; mDelphi; Region of interest; Organ-specific; Modality-specific
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DeSouza, Nandita ...
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van Der Lugt, Aa ...
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Deroose, Christo ...
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Alberich-Bayarri ...
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Bidaut, Luc
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Fournier, Laure
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visa fler...
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Costaridou, Lena
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Oprea-Lager, Dan ...
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Kotter, Elmar
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Smits, Marion
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Mayerhoefer, Mar ...
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Boellaard, Ronal ...
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Caroli, Anna
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De Geus-Oei, Lio ...
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Kunz, Wolfgang G ...
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Oei, Edwin H.
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Lecouvet, Freder ...
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Franca, Manuela
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Loewe, Christian
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Lopci, Egesta
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Caramella, Carol ...
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Persson, Anders
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Golay, Xavier
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Dewey, Marc
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OConnor, James P ...
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DeGraaf, Pim
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Gatidis, Sergios
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Zahlmann, Gudrun
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