1 A retrospective analysis of
569 thin-section CT examinations performed for patients susp
2 eet criteria for the disease had an
abnormal thin-section CT scan.
3 e temporal lobe and brain ( Figs 1 - 4 )
and thin-section CT of the temporal bones ( Figs 5 , 6 ).
4 rwent MRI of the temporal lobe and brain
and thin-section CT of the temporal bones.
5 igraphy, chest radiography, conventional
and thin-section CT, and pulmonary function tests were perfo
6 All patients underwent chest radiography
and thin-section CT, and images were independently interpret
7 Mean ADC value
and thin-section CT emphysema index of relative area less th
8 ound SNHL and no demonstrable abnormality
at thin-section CT.
9 MR imaging on the underlying lung anatomy
at thin-section CT.
10 Recognition of certain characteristics
at thin-section CT can be helpful in differentiating small
11 ed with the severity of pulmonary disease
at thin-section CT.
12 Of 747 nodules, 222 were evaluated
at thin-section CT (1-mm collimation), which included 59 ca
13 zed with regard to their imaging features
at thin-section CT, their predicted malignancy risk accordi
14 cases and facilitates nodule localization
at thin-section CT.
15 th LAM that, in conjunction with the
classic thin-section CT finding of pulmonary cysts, are useful i
16 The authors analyzed baseline
digital thin-section CT data from 144 patients with IPF who enro
17 e because it may be difficult to
distinguish thin-section CT findings that lie within the normal rang
18 d chest radiologists independently
evaluated thin-section CT images in 58 patients by using an algori
19 Motion-free inspiratory and
expiratory thin-section CT images were successfully acquired during
20 Diagnostic patterns were determined
for thin-section CT images using both classifications.
21 SSN with good predictive performance in
non-
thin section CT.
22 Nonenhanced thin-section CT of the chest was performed (Figs 1-5).
23 Nonenhanced thin-section CT of the chest was performed.
24 On
nonenhanced,
thin-section CT scans, the nodules were solid, 5-40 mm i
25 t radiographs, 100% of CT scans, and 100%
of thin-section CT scans.
26 bule is fundamental to the interpretation
of thin-section CT scans.
27 Retrospective review
of thin-section CT images was performed in consensus by two
28 Use
of thin-section CT significantly improves the diagnosis of
29 Radiologic features
on thin-section CT images were quantified, and guideline-de
30 ions in secondary lobular anatomy visible
on thin-section CT scans include interlobular septal thicke
31 This review examines
particular thin-section CT findings that occupy the gray area betwe
32 This simple, reproducible technique
produced thin-section CT images that were clearer and more clinic
33 Prone thin-section CT imaging was performed, and two observers
34 Attenuation was recorded from
serial thin-section CT scans before and after injection of cont
35 The thin-section CT scans were obtained during quiet sleep a
36 Patients
underwent thin-section CT in the supine position at full inspirati
37 All patients
underwent thin-section CT in the supine position at full inspirati
38 The patient underwent
volumetric thin-section CT of the chest using a multidetector CT sc
39 resected lung adenocarcinomas (n = 41)
with thin-section CT data were identified.
40 y equal to or better than that obtained
with thin-section CT.