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Pancreatic cancer detection with dual-energy CT: diagnostic performance of 40 keV and 70 keV virtual monoenergetic images.
Noda, Yoshifumi; Ando, Tomohiro; Kaga, Tetsuro; Yamda, Nao; Seko, Takuya; Ishihara, Takuma; Kawai, Nobuyuki; Miyoshi, Toshiharu; Ito, Akio; Naruse, Takuya; Hyodo, Fuminori; Kato, Hiroki; Kambadakone, Avinash R; Matsuo, Masayuki.
Afiliación
  • Noda Y; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan. noda.yoshifumi.g9@f.gifu-u.ac.jp.
  • Ando T; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Kaga T; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Yamda N; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Seko T; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Ishihara T; Innovative and Clinical Research Promotion Center, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Kawai N; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Miyoshi T; Department of Radiology Services, Gifu University Hospital, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Ito A; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Naruse T; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Hyodo F; Center for One Medicine Innovative Translational Research (COMIT), Institute for Advanced Study, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Kato H; Department of Pharmacology, Graduate School of Medicine, Gifu University, Gifu, Japan.
  • Kambadakone AR; Department of Radiology, Gifu University, 1-1 Yanagido, Gifu, 501-1194, Japan.
  • Matsuo M; Department of Radiology, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA, 02114, USA.
Radiol Med ; 129(5): 677-686, 2024 May.
Article en En | MEDLINE | ID: mdl-38512626
ABSTRACT

PURPOSE:

To compare the diagnostic performance of 40 keV and 70 keV virtual monoenergetic images (VMIs) generated from dual-energy CT in the detection of pancreatic cancer.

METHODS:

This retrospective study included patients who underwent pancreatic protocol dual-energy CT from January 2019 to August 2022. Four radiologists (1-11 years of experience), who were blinded to the final diagnosis, independently and randomly interpreted 40 keV and 70 keV VMIs and graded the presence or absence of pancreatic cancer. For each image set (40 keV and 70 keV VMIs), the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy were calculated. The diagnostic performance of each image set was compared using generalized estimating equations.

RESULTS:

Overall, 137 patients (median age, 71 years; interquartile range, 63-78 years; 77 men) were included. Among them, 62 patients (45%) had pathologically proven pancreatic cancer. The 40 keV VMIs had higher specificity (75% vs. 67%; P < .001), PPV (76% vs. 71%; P < .001), and accuracy (85% vs. 81%; P = .001) than the 70 keV VMIs. On the contrary, 40 keV VMIs had lower sensitivity (96% vs. 98%; P = .02) and NPV (96% vs. 98%; P = .004) than 70 keV VMIs. However, the diagnostic confidence in patients with (P < .001) and without (P = .001) pancreatic cancer was improved in 40 keV VMIs than in 70 keV VMIs.

CONCLUSIONS:

The 40 keV VMIs showed better diagnostic performance in diagnosing pancreatic cancer than the 70 keV VMIs, along with higher reader confidence.
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Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Tomografía Computarizada por Rayos X / Imagen Radiográfica por Emisión de Doble Fotón / Sensibilidad y Especificidad Idioma: En Revista: Radiol Med Año: 2024 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Asunto principal: Neoplasias Pancreáticas / Tomografía Computarizada por Rayos X / Imagen Radiográfica por Emisión de Doble Fotón / Sensibilidad y Especificidad Idioma: En Revista: Radiol Med Año: 2024 Tipo del documento: Article