Lung Cancer
Conditions
Interventions
None listed
Sponsors
Machida Tadashi
Eligibility
Sex/Gender
All
Inclusion criteria
Inclusion criteria: 1.Patients who had a chest CT scan conducted bet ween January 1, 2020 and March 31, 2024 at Nipp on Medical School Hospital or Amakusa Regional Medical Center, Amakusa County Medical Associat ion. 2.Patients who have undergone chest CT imaging who meet the following imaging conditions CT image size:512 x 512 Slice thickness:5 mm or less Slice interval:5 mm or less (gapless) Imaging conditions:Image quality is suitable for inte rpretation. This is a chest image that allows you to see the entire lung field. Reconstruction conditions: There are images for bo th lung field and mediastinal conditions (the contra st conditions match, and the slice thickness and int erval are the same).
Exclusion criteria
Exclusion criteria: 1. Minor patients (under 18 years old) 2.Patients who have indicated their intention to refu se to participate in the study by the research subje ct or their legal representative 3.Other patients who are judged to be inappropriat e for participation in this study by the principal inve stigator or co-investigator.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| FOM (Figure of merit) | — |
Secondary
| Measure | Time frame |
|---|---|
| Reading test 1.The detectability (sensitivity, average number of false positives, and positive predictive value)of the nodule unit is calculated. 2.Subgroup analysis of the detectability (sensitivity, mean number of false positives, and positive predictive value)of the nodule unit according to the following factors. Additionally, FOM will be calculated for the interpreter group. Nodule type Nodule location Relationship to the surrounding structure of the nodule Maximum diameter of the nodule Slice thickness Contrast/non-contrast Imaging research institute Imaging equipment Group of interpreters (specialists/late residents). 3.The detectability (sensitivity, specificity, positive predictive value, and negative predictive value) of each case is calculated. 4.Subgroup analysis of the detectability (sensitivity, specificity, positive predictive value, and negative predictive value) of the case unit is performed according to the following factors: Slice thickness Contrast/non-contrast Imaging research institute Imaging equipment Reading physicians 5.To evaluate the effect of false positives in the nodal units Single performance test 1.The detectability (sensitivity, average number of false positives, and positive predictive value) of the nodule unit is calculated. 2.Subgroup analysis of the detectability (sensitivity, mean number of false positives, and positive predi ctive value)of the nodule unit according to the following factors. Nodule type Nodule location Relationship to the surrounding structure of the nodule Maximum diameter of the nodule Slice thickness Contrast/non-contrast Imaging research institute Imaging equipment Lung field condition/mediastinum condition 3.The detectability (sensitivity, specificity, positive predictive value, and negative predictive value) of e ach case is calculated. 4.Subgroup analysis of the detectability (sensitivity, specificity, positive predictive value, and negative p redictive value) of the case unit is performed accor ding to | — |
Contacts
Public ContactTadashi Machida
Nippon Medical School Hospital
Outcome results
None listed