Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness.
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| Title: | Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness. |
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| Authors: | Bezzi C; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Bergamini A; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Mathoux G; School of Medicine and Surgery, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy., Ghezzo S; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Monaco L; School of Medicine and Surgery, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy., Candotti G; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Fallanca F; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Gajate AMS; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Rabaiotti E; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Cioffi R; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Bocciolone L; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Gianolli L; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Taccagni G; Pathology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Candiani M; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Mangili G; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Mapelli P; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy., Picchio M; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy. |
| Source: | Cancers [Cancers (Basel)] 2023 Jan 03; Vol. 15 (1). Date of Electronic Publication: 2023 Jan 03. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: MDPI Country of Publication: Switzerland NLM ID: 101526829 Publication Model: Electronic Cited Medium: Print ISSN: 2072-6694 (Print) Linking ISSN: 20726694 NLM ISO Abbreviation: Cancers (Basel) Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 36612321 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Role of Machine Learning (ML)-Based Classification Using Conventional <superscript>18</superscript>F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Bezzi+C%22">Bezzi C</searchLink>; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Bergamini+A%22">Bergamini A</searchLink>; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Mathoux+G%22">Mathoux G</searchLink>; School of Medicine and Surgery, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Ghezzo+S%22">Ghezzo S</searchLink>; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Monaco+L%22">Monaco L</searchLink>; School of Medicine and Surgery, University of Milano-Bicocca, Piazza dell'Ateneo Nuovo 1, 20126 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Candotti+G%22">Candotti G</searchLink>; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Fallanca+F%22">Fallanca F</searchLink>; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Gajate+AMS%22">Gajate AMS</searchLink>; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Rabaiotti+E%22">Rabaiotti E</searchLink>; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Cioffi+R%22">Cioffi R</searchLink>; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Bocciolone+L%22">Bocciolone L</searchLink>; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Gianolli+L%22">Gianolli L</searchLink>; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Taccagni+G%22">Taccagni G</searchLink>; Pathology Unit, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Candiani+M%22">Candiani M</searchLink>; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Mangili+G%22">Mangili G</searchLink>; Unit of Obstetrics and Gynaecology, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Mapelli+P%22">Mapelli P</searchLink>; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy.<br /><searchLink fieldCode="AU" term="%22Picchio+M%22">Picchio M</searchLink>; Faculty of Medicine and Surgery, Vita-Salute San Raffaele University, Via Olgettina 58, 20132 Milan, Italy.; Nuclear Medicine Department, IRCCS San Raffaele Scientific Institute, Via Olgettina 60, 20132 Milan, Italy. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101526829%22">Cancers</searchLink> [Cancers (Basel)] 2023 Jan 03; Vol. 15 (1). <i>Date of Electronic Publication: </i>2023 Jan 03. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22MDPI%22">MDPI </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101526829 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Print <i>ISSN: </i>2072-6694 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2220726694%22">20726694 </searchLink><i>NLM ISO Abbreviation: </i>Cancers (Basel) <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=36612321 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3390/cancers15010325 Languages: – Code: eng Text: English Titles: – TitleFull: Role of Machine Learning (ML)-Based Classification Using Conventional 18F-FDG PET Parameters in Predicting Postsurgical Features of Endometrial Cancer Aggressiveness. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Bezzi C – PersonEntity: Name: NameFull: Bergamini A – PersonEntity: Name: NameFull: Mathoux G – PersonEntity: Name: NameFull: Ghezzo S – PersonEntity: Name: NameFull: Monaco L – PersonEntity: Name: NameFull: Candotti G – PersonEntity: Name: NameFull: Fallanca F – PersonEntity: Name: NameFull: Gajate AMS – PersonEntity: Name: NameFull: Rabaiotti E – PersonEntity: Name: NameFull: Cioffi R – PersonEntity: Name: NameFull: Bocciolone L – PersonEntity: Name: NameFull: Gianolli L – PersonEntity: Name: NameFull: Taccagni G – PersonEntity: Name: NameFull: Candiani M – PersonEntity: Name: NameFull: Mangili G – PersonEntity: Name: NameFull: Mapelli P – PersonEntity: Name: NameFull: Picchio M IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 01 Text: 2023 Jan 03 Type: published Y: 2023 Identifiers: – Type: issn-print Value: 2072-6694 Numbering: – Type: volume Value: 15 – Type: issue Value: 1 Titles: – TitleFull: Cancers Type: main |
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