Computed tomography texture analysis in patients with gastric cancer: a quantitative imaging biomarker for preoperative evaluation before neoadjuvant chemotherapy treatment.
Purpose: The aim of the study is to explore the role of computed tomography texture analysis (CT-TA) for predicting clinical T and N stages and tumor grade before neoadjuvant chemotherapy treatment in gastric cancer (GC) patients during the preoperative period.Materials and Methods: CT images of 114...
| Publicado en: | Japanese Journal of Radiology Vol. 38; no. 6; pp. 553 - 561 |
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| Autores principales: | , , , , , , , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=143396563&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 143396563 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18671071 AUCM jtl: Japanese Journal of Radiology issn: 18671071 maglogo: N pubinfo: dt: Jun2020 vid: 38 iid: 6 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 143396563 143396563 NLM32140880 10.1007/s11604-020-00936-2 NLM32140880 143396563 ppf: 553 ppct: 8 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Computed tomography texture analysis in patients with gastric cancer: a quantitative imaging biomarker for preoperative evaluation before neoadjuvant chemotherapy treatment. aug: au: Yardimci, Aytul Hande Sel, Ipek Bektas, Ceyda Turan Yarikkaya, Enver Dursun, Nevra Bektas, Hasan Afsar, Cigdem Usul Gursu, Rıza Umar Yardimci, Veysi Hakan Ertas, Elif Kilickesmez, Ozgur affil: Department of Radiology, Istanbul Training and Research Hospital, Kasap İlyas Mah., Org. Abdurrahman Nafiz Gürman Cd., Fatih, 34098, Istanbul, Turkey sug: subj: Stomach Neoplasms Stomach Neoplasms Pathology Tomography, X-Ray Computed Methods Preoperative Care Methods Adult Middle Age Evaluation Research Neoplasm Staging Retrospective Design Stomach Male Aged Stomach Pathology Female Aged, 80 and Over Stomach Neoplasms Drug Therapy Algorithms Neoplasm Grading Neoadjuvant Therapy Methods Scales Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Aged, 80 & over Male Female ab: Purpose: The aim of the study is to explore the role of computed tomography texture analysis (CT-TA) for predicting clinical T and N stages and tumor grade before neoadjuvant chemotherapy treatment in gastric cancer (GC) patients during the preoperative period.Materials and Methods: CT images of 114 patients with GC were included in this retrospective study. Following pre-processing steps, textural features were extracted using MaZda software in the portal venous phase. We evaluated and analyzed texture features of six principal categories for differentiating between T stages (T1,2 vs T3,4), N stages (N+ vs N-) and grades (low-intermediate vs. high). Classification was performed based on texture parameters with high model coefficients in linear discriminant analysis (LDA).Results: Dimension-reduction steps yielded five textural features for T stage, three for N stage and two for tumor grade. The discriminatory capacities of T stage, N stage and tumor grade were 90.4%, 81.6% and 64.5%, respectively, when LDA algorithm was employed.Conclusion: CT-TA yields potentially useful imaging biomarkers for predicting the T and N stages of patients with GC and can be used for preoperative evaluation before neoadjuvant treatment planning. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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