Sensitivity of Thoracic Digital Tomosynthesis (DTS) for the Identification of Lung Nodules.
Thoracic computed tomography (CT) is considered the gold standard for detection lung pathology, yet its efficacy as a screening tool in regards to cost and radiation dose continues to evolve. Chest radiography (CXR) remains a useful and ubiquitous tool for detection and characterization of pulmonary pathology, but reduced sensitivity and specificity compared to CT. This prospective, blinded study compares the sensitivity of digital tomosynthesis (DTS), to that of CT and CXR for the identification and characterization of lung nodules. Ninety-five outpatients received a posteroanterior (PA) and lateral CXR, DTS, and chest CT at one care episode. The CXR and DTS studies were independently interpreted by three thoracic radiologists. The CT studies were used as the gold standard and read by a fourth thoracic radiologist. Nodules were characterized by presence, location, size, and composition. The agreement between observers and the effective radiation dose for each modality was objectively calculated. One hundred forty-five nodules of greatest diameter larger than 4 mm and 215 nodules less than 4 mm were identified by CT. DTS identified significantly more >4 mm nodules than CXR (DTS 32 % vs. CXR 17 %). CXR and DTS showed no significant difference in the ability to identify the smaller nodules or central nodules within 3 cm of the hilum. DTS outperformed CXR in identifying pleural nodules and those nodules located greater than 3 cm from the hilum. Average radiation dose for CXR, DTS, and CT were 0.10, 0.21, and 6.8 mSv, respectively. Thoracic digital tomosynthesis requires significantly less radiation dose than CT and nearly doubles the sensitivity of that of CXR for the identification of lung nodules greater than 4 mm. However, sensitivity and specificity for detection and characterization of lung nodules remains substantially less than CT. The apparent benefits over CXR, low cost, rapid acquisition, and minimal radiation dose of thoracic DTS suggest that it may be a useful procedure. Work-up of a newly diagnosed nodule will likely require CT, given its superior cross-sectional characterization. Further investigation of DTS as a diagnostic, screening, and surveillance tool is warranted.
Radiology Department, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Steve G
SG
Langer
Radiology Department, William Beaumont Hospital, Royal Oak, MI, USA.
Brian D
BD
Graner
Radiology Department, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Beth A
BA
Schueler
Cardiology Department, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Kenneth A
KA
Fetterly
Radiology Department, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
James M
JM
Kofler
Biomedical Statistics and Informatics, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA.
Jayawant N
JN
Mandrekar
Radiology Department, Mayo Clinic, 200 First Street SW, Rochester, MN, 55905, USA. bartholmai.brian@mayo.edu.
Brian J
BJ
Bartholmai
D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008168:Lung / Q000000981:diagnostic imaging; D008175:Lung Neoplasms / Q000000981:diagnostic imaging*; D011446:Prospective Studies; D011856:Radiographic Image Enhancement / Q000379:methods*; D013902:Radiography, Thoracic / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D016037:Single-Blind Method; D014057:Tomography, X-Ray Computed / Q000379:methods*
CT; Chest; Digital tomosynthesis; Pulmonary nodule; Radiography; Thoracic imaging