cd61e9c220b4b08e40d0090cc34df26d 328761.pdf f215cec61a3f5813449ab3ccb494a0113d2447e4 328761.pdf db494b32b5be3f195ed356202fbdb441d315f2905ef25aa1bee43414c45e0259 328761.pdf Title: PET‐based radiomics signature can predict durable responses to CAR T‐cell therapy in patients with large B‐cell lymphoma Subject: eJHaem 2023.4:1081-1088 Keywords: Author: Creator: LaTeX with hyperref package Producer: Acrobat Distiller 11.0 (Windows); modified using iText 4.2.0 by 1T3XT CreationDate: Wed Nov 15 10:35:28 2023 CET ModDate: Mon Jun 22 11:55:46 2026 CEST Custom Metadata: yes Metadata Stream: yes Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 8 Encrypted: no Page size: 595.276 x 782.362 pts Page rot: 0 File size: 782131 bytes Optimized: no PDF version: 1.6 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- MMNNPP+Lato-Regular Type 1C WinAnsi yes yes no 38 0 MMNOIN+Lato-Bold Type 1C WinAnsi yes yes no 39 0 MMNPBK+STIXTwoMath Type 1C Custom yes yes yes 61 0 MMNPCL+Lato-Italic Type 1C WinAnsi yes yes no 62 0 MMOFMD+Lato-Black Type 1C WinAnsi yes yes no 40 0 Times-Roman Type 1 WinAnsi no no no 5 0 MMONKF+STIX-Regular Type 1C Custom yes yes yes 60 0 MMONKE+Lato-BoldItalic Type 1C WinAnsi yes yes no 63 0 MMONNF+STIXTwoText Type 1C WinAnsi yes yes no 69 0 MMPGIB+STIXTwoText-Italic Type 1C Custom yes yes yes 81 0 Jhove (Rel. 1.28.0, 2023-05-18) Date: 2026-06-23 04:14:42 CEST RepresentationInformation: 328761.pdf ReportingModule: PDF-hul, Rel. 1.12.4 (2023-03-16) LastModified: 2026-06-22 12:49:32 CEST Size: 782131 Format: PDF Version: 1.6 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 0 FreeObjects: 2 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseOutlines Outlines: Item: Title: PET-based radiomics signature can predict durable responses to CAR T-cell therapy in patients with large B-cell lymphoma Destination: chapter..1 Children: Item: Title: Abstract Destination: section*.2 Item: Title: 1 | INTRODUCTION Destination: section..1.1 Item: Title: 2 | METHODS Destination: section..1.2 Children: Item: Title: 2.1 | Study population Destination: subsection..1.2.1 Item: Title: 2.2 | Endpoints and definitions Destination: subsection..1.2.2 Item: Title: 2.3 | Disease assessment and evaluation Destination: subsection..1.2.3 Item: Title: 2.4 | PET/CT exam and feature acquisition Destination: subsection..1.2.4 Item: Title: 2.5 | Statistical analysis Destination: subsection..1.2.5 Item: Title: 3 | RESULTS Destination: section..1.3 Children: Item: Title: 3.1 | Patient characteristics Destination: subsection..1.3.1 Item: Title: 3.2 | Efficacy and safety data Destination: subsection..1.3.2 Item: Title: 3.3 | Radiomics signature development Destination: subsection..1.3.3 Item: Title: 3.4 | Integration of radiomics and conventional PET features to predict CAR T-cell efficacy Destination: subsection..1.3.4 Item: Title: 3.5 | Impact of imaging and clinical factors on efficacy Destination: subsection..1.3.5 Item: Title: 3.6 | Impact of radiomics and conventional PET-based features on safety Destination: subsection..1.3.6 Item: Title: 4 | DISCUSSION Destination: section..1.4 Item: Title: AUTHOR CONTRIBUTIONS Destination: section*.4 Item: Title: CONFLICT OF INTEREST STATEMENT Destination: section*.6 Item: Title: FUNDING INFORMATION Destination: section*.8 Item: Title: ETHICS STATEMENT Destination: section*.10 Item: Title: PATIENT CONSENT STATEMENT Destination: section*.12 Children: Item: Title: DATA AVAILABILITY STATEMENT Destination: section*.14 Item: Title: ORCID Destination: section*.16 Item: Title: REFERENCES Destination: section*.18 Filters: FilterPipeline: FlateDecode FilterPipeline: DCTDecode Images: Image: NisoImageMetadata: FormatName: image/png ImageWidth: 228 ImageHeight: 45 ColorSpace: RGB BitsPerSample: 8 BitsPerSampleUnit: integer Filter: FlateDecode Image: 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