Table 1 Patient Characteristics and Radiologic Findings
From: 75% radiation dose reduction using deep learning reconstruction on low-dose chest CT
Variable | Number |
|---|---|
Demographics | |
Age (median [IQR]) | 61 [53–70] |
Sex | |
Men | 52 (52%) |
Women | 48 (48%) |
CT information | |
Indication for CT | |
Metastasis evaluation | 57 (57%) |
Follow-up of underlying diseases | 33 (33%) |
Preoperative/pretransplantation workup | 2 (2%) |
Chest radiograph abnormality | 7 (7%) |
Chronic cough | 1 (1%) |
CTDIvol(mGy; median [IQR]) | |
LDCT | 1.2 [1.0–1.3] |
QLD CT | 0.29 [0.25–0.32] |
DLP (mGy*cm; median [IQR]) | |
LDCT | 46.4 [41.0–50.8] |
QLD CT | 11.6 [10.2–12.7] |
Effective dose (mSv; median [IQR]) | |
LDCT | 0.65 [0.57–0.71] |
QLD CT | 0.16 [0.14–0.18] |
Patients with Lung-RADS category 3 or 4 nodules | 30 (30%) |
Number of lung nodules | 48 |
Lung-RADS category 3 | 28 (58%) |
Lung-RADS category 4 A | 16 (33%) |
Lung-RADS category 4B | 4 (8%) |
Radiologic nodule type | |
Subsolid | 4 (8%) |
Solid | 44 (92%) |