Impact of intensity standardisation and ComBat batch size on clinical-radiomic prognostic models performance in a multi-centre study of patients with glioblastoma.

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Title: Impact of intensity standardisation and ComBat batch size on clinical-radiomic prognostic models performance in a multi-centre study of patients with glioblastoma.
Authors: Fatania K; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK. Kavi.fatania@nhs.net.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK. Kavi.fatania@nhs.net., Frood R; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK., Mistry H; Division of Cancer Sciences, University of Manchester, Manchester, UK., Short SC; Leeds Institute of Medical Research, University of Leeds, Leeds, UK.; Department of Oncology, Leeds Teaching Hospitals NHS Trust, England, UK., O'Connor J; Division of Cancer Sciences, University of Manchester, Manchester, UK.; Department of Radiology, The Christie Hospital, Manchester, UK.; Division of Radiotherapy and Imaging, Institute of Cancer Research, London, UK., Scarsbrook AF; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK., Currie S; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK.
Source: European radiology [Eur Radiol] 2025 Jun; Vol. 35 (6), pp. 3354-3366. Date of Electronic Publication: 2024 Nov 28.
Publication Type: Journal Article; Multicenter Study
Journal Info: Publisher: Springer International Country of Publication: Germany NLM ID: 9114774 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-1084 (Electronic) Linking ISSN: 09387994 NLM ISO Abbreviation: Eur Radiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Impact of intensity standardisation and ComBat batch size on clinical-radiomic prognostic models performance in a multi-centre study of patients with glioblastoma.
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  Data: <searchLink fieldCode="AU" term="%22Fatania+K%22">Fatania K</searchLink>; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK. Kavi.fatania@nhs.net.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK. Kavi.fatania@nhs.net.<br /><searchLink fieldCode="AU" term="%22Frood+R%22">Frood R</searchLink>; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Mistry+H%22">Mistry H</searchLink>; Division of Cancer Sciences, University of Manchester, Manchester, UK.<br /><searchLink fieldCode="AU" term="%22Short+SC%22">Short SC</searchLink>; Leeds Institute of Medical Research, University of Leeds, Leeds, UK.; Department of Oncology, Leeds Teaching Hospitals NHS Trust, England, UK.<br /><searchLink fieldCode="AU" term="%22O'Connor+J%22">O'Connor J</searchLink>; Division of Cancer Sciences, University of Manchester, Manchester, UK.; Department of Radiology, The Christie Hospital, Manchester, UK.; Division of Radiotherapy and Imaging, Institute of Cancer Research, London, UK.<br /><searchLink fieldCode="AU" term="%22Scarsbrook+AF%22">Scarsbrook AF</searchLink>; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK.<br /><searchLink fieldCode="AU" term="%22Currie+S%22">Currie S</searchLink>; Department of Radiology, Leeds Teaching Hospitals NHS Trust, England, UK.; Leeds Institute of Medical Research, University of Leeds, Leeds, UK.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2025 Jun; Vol. 35 (6), pp. 3354-3366. <i>Date of Electronic Publication: </i>2024 Nov 28.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9114774 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-1084 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209387994%22">09387994 </searchLink><i>NLM ISO Abbreviation: </i>Eur Radiol <i>Subsets: </i>MEDLINE
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        Value: 10.1007/s00330-024-11168-7
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      – TitleFull: Impact of intensity standardisation and ComBat batch size on clinical-radiomic prognostic models performance in a multi-centre study of patients with glioblastoma.
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              Text: 2025 Jun
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