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Reply to Letter to the Editor: Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.

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Title: Reply to Letter to the Editor: Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.
Authors: Daldrup-Link HE; Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University, School of Medicine, Stanford, CA, USA. heiked@stanford.edu.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. heiked@stanford.edu., von Krüchten R; Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University, School of Medicine, Stanford, CA, USA., Barrow M; Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University, School of Medicine, Stanford, CA, USA.
Source: European radiology [Eur Radiol] 2026 Apr; Vol. 36 (4), pp. 2472-2474. Date of Electronic Publication: 2026 Mar 03.
Publication Type: Letter
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; In Process
Database: MEDLINE Ultimate
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  Data: <searchLink fieldCode="AU" term="%22Daldrup-Link+HE%22">Daldrup-Link HE</searchLink>; Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University, School of Medicine, Stanford, CA, USA. heiked@stanford.edu.; Department of Pediatrics, Stanford University School of Medicine, Stanford, CA, USA. heiked@stanford.edu.<br /><searchLink fieldCode="AU" term="%22von+Krüchten+R%22">von Krüchten R</searchLink>; Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University, School of Medicine, Stanford, CA, USA.<br /><searchLink fieldCode="AU" term="%22Barrow+M%22">Barrow M</searchLink>; Department of Radiology, Molecular Imaging Program at Stanford (MIPS), Stanford University, School of Medicine, Stanford, CA, USA.
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  Data: <searchLink fieldCode="JN" term="%229114774%22">European radiology</searchLink> [Eur Radiol] 2026 Apr; Vol. 36 (4), pp. 2472-2474. <i>Date of Electronic Publication: </i>2026 Mar 03.
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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; In Process
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        Value: 10.1007/s00330-026-12365-2
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      – TitleFull: Reply to Letter to the Editor: Deep learning for accurate tumour volume measurement and prediction of therapy response in paediatric osteosarcoma.
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              Text: 2026 Apr
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              Y: 2026
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