Lung cancer screening with ultra-low dose CT using full iterative reconstruction.
Purpose: To investigate the diagnostic capability of ultra-low-dose CT (ULDCT) with full iterative reconstruction (f-IR) for lung cancer screening.Materials and Methods: All underwent ULDCT and/or low-dose CT (LD-CT) on a 320-detector scanner. ULDCT images were reconstructed with f-IR. We qualitativ...
| Publicado en: | Japanese Journal of Radiology Vol. 35; no. 4; pp. 179 - 190 |
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| Autores principales: | , , , , , , , , |
| Formato: | diagnostic images research tables/charts Journal Article |
| Publicado: |
Springer Nature
Apr2017
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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=122987039&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 122987039 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 18671071 AUCM jtl: Japanese Journal of Radiology issn: 18671071 maglogo: N pubinfo: dt: Apr2017 vid: 35 iid: 4 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 122987039 122987039 143946412 NLM28197820 122987039 10.1007/s11604-017-0618-y NLM28197820 122987039 ppf: 179 ppct: 11 formats: fmt: @attributes: type: P tig: atl: Lung cancer screening with ultra-low dose CT using full iterative reconstruction. aug: au: Fujita, Masayo Higaki, Toru Awaya, Yoshikazu Nakanishi, Toshio Nakamura, Yuko Tatsugami, Fuminari Baba, Yasutaka Iida, Makoto Awai, Kazuo affil: Department of Diagnostic Radiology , Hiroshima University , Kasumi 1-2-3, Minami-ku Hiroshima 734-8551 Japan sug: subj: Lung Neoplasms Human Radiographic Image Interpretation, Computer-Assisted Methods Aged Female Radiation Dosage Tomography, X-Ray Computed Methods Male Early Detection of Cancer Methods Middle Age Aged: 65+ years Middle Aged: 45-64 years Female Male ab: Purpose: To investigate the diagnostic capability of ultra-low-dose CT (ULDCT) with full iterative reconstruction (f-IR) for lung cancer screening.Materials and Methods: All underwent ULDCT and/or low-dose CT (LD-CT) on a 320-detector scanner. ULDCT images were reconstructed with f-IR. We qualitatively and quantitatively studied 95 nodules in 69 subjects. Two radiologists classified the nodules on ULDCT images as solid-, part-solid-, and pure ground-glass (PGG) and recorded their mean size. Their findings were compared with the reference standard. The observer performance study included 7 other radiologists and 35 subjects with- and 15 without nodules. The results were analyzed by AFROC analysis.Results: In the qualitative study, the kappa values between observers 1 and 2, respectively, and the reference standard were 0.70 and 0.83; the intra-class correlation coefficients for the nodule diameter between the reference standard and their measurements were 0.84 and 0.90. The 95% confidence interval (CI) for the area under the curve (AUC) difference for nodule detection on LDCT and ULDCT was -0.03 to 0.07. The 95% CI crossed the 0 difference in the AUC but not the pre-defined non-inferiority margin of -0.08.Conclusion: The diagnostic ability of ULDCT using f-IR is comparable to LDCT. pubtype: Academic Journal doctype: diagnostic images research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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