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Computer-aided diagnosis system versus conventional reading system in low-dose (< 2 mSv) computed tomography: comparative study for patients at risk of lung cancer
Wang, Dong; Cao, Lina; Li, Boya.
  • Wang, Dong; Xianyang Cai-Hong Hospital. Department of Medical Imaging. Xianyang. CN
  • Cao, Lina; Hospital of Shaanxi University of Chinese Medicine. Department of Medical Imaging. Xianyang. CN
  • Li, Boya; The First Affiliated Hospital of Nanchang Medical College. Department of Medical Imaging, Jiangxi provincial Peoples Hospital. Nanchang. CN
São Paulo med. j ; 141(2): 89-97, Mar.-Apr. 2023. tab, graf
Article in English | LILACS-Express | LILACS | ID: biblio-1424664
ABSTRACT
ABSTRACT

BACKGROUND:

Computer-aided diagnosis in low-dose (≤ 3 mSv) computed tomography (CT) is a potential screening tool for lung nodules, with quality interpretation and less inter-observer variability among readers. Therefore, we aimed to determine the screening potential of CT using a radiation dose that does not exceed 2 mSv.

OBJECTIVE:

We aimed to compare the diagnostic parameters of low-dose (< 2 mSv) CT interpretation results using a computer-aided diagnosis system for lung cancer screening with those of a conventional reading system used by radiologists. DESIGN AND

SETTING:

We conducted a comparative study of chest CT images for lung cancer screening at three private institutions.

METHODS:

A database of low-dose (< 2 mSv) chest CT images of patients at risk of lung cancer was viewed with the conventional reading system (301 patients and 226 nodules) or computer-aided diagnosis system without any subsequent radiologist review (944 patients and 1,048 nodules).

RESULTS:

The numbers of detected and solid nodules per patient (both P < 0.0001) were higher using the computer-aided diagnosis system than those using the conventional reading system. The nodule size was reported as the maximum size in any plane in the computer-aided diagnosis system. Higher numbers of patients (102 [11%] versus 20 [7%], P = 0.0345) and nodules (154 [15%] versus 17 [8%], P = 0.0035) were diagnosed with cancer using the computer-aided diagnosis system.

CONCLUSIONS:

The computer-aided diagnosis system facilitates the diagnosis of cancerous nodules, especially solid nodules, in low-dose (< 2 mSv) CT among patients at risk for lung cancer.


Full text: Available Index: LILACS (Americas) Type of study: Diagnostic study / Etiology study / Risk factors / Screening study Language: English Journal: São Paulo med. j Journal subject: Cirurgia Geral / Ciˆncia / Ginecologia / Medicine / Medicina Interna / Obstetr¡cia / Pediatria / Sa£de Mental / Sa£de P£blica Year: 2023 Type: Article Affiliation country: China Institution/Affiliation country: Hospital of Shaanxi University of Chinese Medicine/CN / The First Affiliated Hospital of Nanchang Medical College/CN / Xianyang Cai-Hong Hospital/CN

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Full text: Available Index: LILACS (Americas) Type of study: Diagnostic study / Etiology study / Risk factors / Screening study Language: English Journal: São Paulo med. j Journal subject: Cirurgia Geral / Ciˆncia / Ginecologia / Medicine / Medicina Interna / Obstetr¡cia / Pediatria / Sa£de Mental / Sa£de P£blica Year: 2023 Type: Article Affiliation country: China Institution/Affiliation country: Hospital of Shaanxi University of Chinese Medicine/CN / The First Affiliated Hospital of Nanchang Medical College/CN / Xianyang Cai-Hong Hospital/CN