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...

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Publicado en:Japanese Journal of Radiology Vol. 35; no. 4; pp. 179 - 190
Autores principales: Fujita, Masayo, Higaki, Toru, Awaya, Yoshikazu, Nakanishi, Toshio, Nakamura, Yuko, Tatsugami, Fuminari, Baba, Yasutaka, Iida, Makoto, Awai, Kazuo
Formato: diagnostic images research tables/charts Journal Article
Publicado: Springer Nature Apr2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: Apr2017
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      pub: Springer Nature
      place: New York, New York
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        10.1007/s11604-017-0618-y
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        atl: Lung cancer screening with ultra-low dose CT using full iterative reconstruction.
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          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
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