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5 examinations were chest radiography (n=431), chest CT (n=410), abdominal CT (n=214), and abdominal ul
8 k dataset of 49 clinical data types, 163,725 chest CT series, and 17 tasks involved in LCS, we develo
12 ngth), a full pulmonary function test, and a chest CT scan which was used to analyze skeletal muscle
15 critical illness, and 64 of 141 (46%) had a chest CT a median (interquartile range) 66 days (42-82 d
16 queried for these patients to determine if a chest CT examination was obtained within 1 year of the i
17 es throughout the bilateral lung fields in a chest CT scan, and mixed ventilatory impairment in a spi
18 1 of 1057 [95% CI: 62.4%, 68.2%) underwent a chest CT examination within the year after the index che
20 andemic several centers have routinely added chest CT to abdominal CT to detect possible COVID-19 in
23 ell-aerated lung (WAL) obtained at admission chest CT to determine prognosis in patients with COVID-1
24 4 focus per cell+/-0.04 in one patient after chest CT corresponded to a mean radiation dose of 6.3 mG
26 were sampled at biopsy within 3 weeks after chest CT (January 1999 to September 2003) in 41 young pa
27 ients with laboratory-confirmed COVID-19 and chest CT imaging, admitted to four centers between Janua
29 underwent a complete clinical assessment and chest CT scan, and were followed up from hospitalization
30 s, 43.1% had a single CXR, 42.0% had CXR and chest CT, 6.7% had CXR and abdominal CT (without chest C
33 liant retrospective review of mammograms and chest CT scans from 206 women obtained within 1 year of
34 hest x-ray + head and neck MRI (CXR/MRI) and chest CT + head and neck MRI (CHCT/MRI) with (18)F-FDG P
37 underwent ultrasound by a pulmonologist and chest CT and in 11 of them also ultrasound by a radiolog
39 Purpose To evaluate chest radiographic and chest CT findings of EVALI in the pediatric population.
40 Clinical records, laboratory results, and chest CT scans were retrospectively reviewed for nine pr
41 d is the best laboratory screening test, and chest CT has become the most widespread imaging test.
42 ified from results of pulmonary angiography, chest CT, lower extremity Doppler ultrasound and venogra
44 n high-risk individuals who underwent annual chest CT screening for 5 years and to evaluate the histo
45 during diagnostic x-ray procedures, such as chest CT, leads to a clear increase in the level of radi
48 o develop quantifiable imaging biomarkers at chest CT, such as for osteoporosis, chronic obstructive
50 tion of the Fleischner grade of emphysema at chest CT is associated with clinical measures of pulmona
52 arcinomas manifesting as subsolid nodules at chest CT is accurately represented by an exponential mod
53 the malignancy risk of pulmonary nodules at chest CT is crucial for optimizing management in lung ca
54 arcinomas manifesting as subsolid nodules at chest CT was best represented by an exponential model co
55 Conclusion Airway lumen sizes quantified at chest CT were smaller in women than in men after account
56 ay wall thickening is commonly quantified at chest CT with Pi10, the square root of the wall area of
58 erstanding of temporal relationships between chest CT and labs may provide a reference for disease se
59 polymerase chain reaction (RT-PCR) test, but chest CT may play a complimentary role in the early dete
62 duction when clinically stable) confirmed by chest CT and two or more chest infections in the precedi
63 h antenatal ultrasonography and confirmed by chest CT angiography in the first few months of life.
64 ng portable head CT scans (97%), followed by chest CT (88%), abdominal CT (78%), and pelvic CT (34%)
68 he equations were applied to contemporaneous chest CT images obtained in patients with stage I lung c
70 posed method takes as input a non-contrasted chest CT and segments the lesions, lungs, and lobes in t
73 le thoracic vertebral BMD using conventional chest CT determined distinct BMD patterns from whole tho
74 examination and that met inclusion criteria, chest CT images were reviewed to determine if there was
75 tients with CF cystic fibrosis , a dedicated chest CT protocol can replace the two yearly follow-up c
76 formance of radiologist emergency department chest CT interpretation for diagnosing COVID-19 during t
82 -19 infection were studied by using low-dose chest CT and real-time reverse transcription polymerase
85 eural network trained with (a) 1181 low-dose chest CT examinations (baseline), (b) a small set of exa
87 lung involvement on submillisievert low-dose chest CT outperformed conventional visual analysis in pr
88 (TP) ratio being calculated; and a low-dose chest CT, with scans being scored for the degree of abno
89 rs reduced image noise on low-radiation-dose chest CT images, with some compromise in image sharpness
90 pare the performance of lower-radiation-dose chest CT with that of routine dose in the detection of i
91 udy, CT projection data from 83 routine-dose chest CT examinations performed in 83 patients (120 kV,
93 surgical patients for COVID-19 using either chest CT, RT-PCR or both, due to the risk for worsened s
94 teroposterior chest radiography and enhanced chest CT were also performed at admission (Figs 1-3).[Fi
96 ion criteria were contrast material-enhanced chest CT performed for vascular indications, patients wh
98 inal enlargement; for this purpose, enhanced chest CT scan was performed using a 64-rows scanner (Tos
100 ubjects underwent inspiratory and expiratory chest CT and spirometry at baseline and 5-year follow-up
102 e attention to normal D-dimer results, fewer chest CT scans and lung scans will be required, and impr
105 5914) and 0.05% (three of 5914, P < .01) for chest CT and 1.9% (219 of 11 291) and 0.1% (six of 11 29
106 idual yields were 0.7% (95% CI: 0.2-1.1) for chest CT and 1.1% (95% CI: 0.6-1.7) for RT-PCR; the incr
107 NR at 100 kVp of 8% (15.3/14.2; P = .41) for chest CT and 13% (7.8/6.8; P = .40) for abdominopelvic C
110 There was no significant difference for chest CT efficacy among the 26 geographically separate s
112 dose reduction of 46.4% (3.7 vs 6.9 mGy) for chest CT and 38.2% (5.0 vs 8.1 mGy) for abdominal CT (P
113 dulation provides acceptable image noise for chest CT, with an 18% and 26% reduction in tube current-
114 Acceptable image quality can be obtained for chest CT images acquired at 40 mAs by using ASIR without
115 of this paper is to present our protocol for chest CT imaging in the youngest age group, together wit
116 inations that contained a recommendation for chest CT examination, and increasing patient age (P < .0
119 ion, the average relative dose reduction for chest CT was 39% (2.7/4.4 mGy), with a maximum reduction
121 5% CI: 0.2%, 2.7%) were lower than those for chest CT (2.8%; 95% CI: 1.5%, 5.4%) and abdominal CT (2.
122 ation indications were cancer and trauma for chest CT and abdominal pain, trauma, and cancer for abdo
123 projection resulted in higher TCM values for chest CT (P < .001) owing to the higher attenuation (P <
124 -PCR)-confirmed COVID-19 in each of the four chest CT categories (typical, indeterminate, atypical, a
125 of post-bronchodilator FVC and TLC(CT) from chest CT (FVC/TLC(CT)) among current and former smokers
126 nding aorta diameter (ratio PA) derived from chest CT are commonly reported in clinical practice.
127 EV)) (myocardium and chamber) estimated from chest CT images in participants with COPD and then to de
129 e (AI) could enable fSAD quantification from chest CT scans at total lung capacity (TLC) alone (fSAD(
132 chniques and central review are essential if chest CT is to be used for staging in cooperative studie
133 tocols in the early stage of implementation (chest CT, 58.9%; abdominal CT, 65.2%) was lower than in
135 eticular, and presence of nodule findings in chest CT scan of COVID-19 pneumonia patients were respec
140 OVID-19 pneumonia who underwent both initial chest CT and at least one RT-PCR test within 48 hours we
143 al intelligence (AI) algorithms to integrate chest CT findings with clinical symptoms, exposure histo
144 ss-sectional analysis examining interstitial chest CT findings in PWH (n = 754) and uninfected contro
145 ggest that fetal irradiation during maternal chest CT can be reduced substantially with barium shield
148 rus 2 at nasal-pharyngeal swabbing, negative chest CT findings, and incomplete clinical data were exc
150 ymal findings suspicious for COVID-19 at non-chest CT but not concurrent chest CT, and underwent COVI
151 ered as the pandemic unfolds, leading to non-chest CT scans that may uncover unsuspected pulmonary di
152 ry nonrespiratory symptoms who underwent non-chest CT, CT provided evidence of coronavirus disease 20
156 ients had nongated (contrast or noncontrast) chest CT imaging performed within 1 year before surgery.
157 ncluded patients who underwent a nonenhanced chest CT examination because of clinical suspicion of CO
158 gated CT imaging, but will have had nongated chest CT studies performed for a variety of noncardiac i
161 18 months after surgery, he had a normal chest CT scan and ventilation-perfusion scan and had gro
162 deviation]) follow-up, 7.1% (575 of 8057) of chest CT patients and 3.9% (546 of 13 888) of abdominal
163 ncremental yield of standardized addition of chest CT to abdominal CT to detect COVID-19 in patients
166 ve yield of screening using a combination of chest CT and RT-PCR was 1.5% [95% confidence interval (C
169 ng cancer who underwent at least one pair of chest CT examinations 25 or more days apart before treat
170 is of patient characteristics, percentage of chest CT scans obtained at follow-up, years of experienc
172 duction surgery suggests that performance of chest CT in candidates for lung volume reduction surgery
176 nkage detection from elastic registration of chest CT scans in patients with systemic sclerosis (SSc)
178 ence using chest CT for COVID-19, results of chest CT and reverse transcription polymerase chain reac
180 , determined from Monte Carlo simulations of chest CT by using single-section scanners and previous t
184 cessibility and less invasive nature, use of chest CT scan is more rational and is recommended in the
186 tive value, and positive predictive value of chest CT in the diagnosis of COVID-19 were 2319 of 2564
189 exists between positive predictive values of chest CT versus those of reverse transcriptase polymeras
191 kelihood and extent of pulmonary COVID-19 on chest CT scans using the COVID-19 Reporting and Data Sys
192 lymphocytopenia and an extent of GGO >50% on chest CT were independent risk factors for nonpositive Q
193 prevalence of alternative diagnoses based on chest CT in patients without COVID-19 infection was 17.6
201 imed to determine whether MLN enlargement on chest CT predicts clinical outcomes and circulating cyto
203 antitative burden of consolidation or GGO on chest CT independently predict clinical deterioration or
205 or rates for detecting small lung nodules on chest CT scans remain high at 50%, despite advances in i
207 ricardial calcification has been observed on chest CT scans in patients with cystic fibrosis (CF), it
209 corresponding abnormalities were present on chest CT images in 41.4% (286 of 691 [95% CI: 37.7%, 45.
210 dicated extrapulmonary structures at risk on chest CT scans and predicted ACM with explanations.
212 4.8 million Americans underwent at least one chest CT scan and 1.57 million had a nodule identified,
214 COVID-19+ patients with at least one CXR or chest CT were compared with 254 age- and gender-matched
218 itial human experience with dose-reduced PCD chest CT demonstrated lower image noise compared with co
221 Respiratory motion and expiratory phase chest CT with the second intervention decreased (8%, 20/
222 se length product compared with single-phase chest CT examinations performed in 80% of sites (43 of 5
229 r vascular indications, patients who refused chest CT or hospitalization, and severe CT motion artifa
230 NA consensus guidelines for COVID-19-related chest CT are widely used but, to the knowledge of the au
237 ectors (Art Phantom Canberra) during routine chest CT examinations (64 MDCT TK LIGHT SPEED GE Medical
238 lyze the actual dose distribution in routine chest CT examination protocols using an antropomorphic p
239 DCT) of the chest in comparison with routine chest CT examinations as well as to compare doses delive
240 25 men, 28 women) underwent 16-detector row chest CT with z-axis modulation and noise indexes of 10.
243 a 5th-year radiology resident using the RSNA chest CT classification system for reporting COVID-19 pn
245 e segmented by 2 readers on non-thin section chest CT with a lung nodule analysis software followed b
246 urate pattern classification at thin-section chest CT is a key step in multidisciplinary discussions,
248 alitatively compared on admission and serial chest CT scans were semi-quantitively evaluated between
252 uracy of endobronchial ultrasound and spiral chest CT scan in the prediction of infiltrating and non-
253 eparate cohort of 29 LVRS candidates, spiral chest CT studies were performed both without and with sp
254 d same-day repeat routine inspiratory spiral chest CT studies were performed in 29 LVRS candidates (g
259 mpared with RT-PCR, low-dose submillisievert chest CT demonstrated excellent sensitivity, specificity
261 ensity increase beyond typical on subsequent chest CT scans were associated with all-cause mortality
263 tients with RT-PCR-confirmed COVID-19 in the chest CT categories typical, indeterminate, atypical, an
265 The most common abnormal findings on the chest CT scan were pulmonary nodules (n = 14), followed
269 accination were associated with less typical chest CT manifestations of COVID-19 and lesser extent of
270 iagnosis of isolated PEX referred to undergo chest CT and stress echocardiography to evaluate surgica
271 ing history might well be advised to undergo chest CT scanning in an aggressive search for occult lun
272 ggested that one out of 250 women undergoing chest CT will show a malignant incidental breast lesion.
273 ts with COVID-19 infection who had undergone chest CT were enrolled in this retrospective study.
278 e range, 3 months to 19 years) who underwent chest CT during a 20-month period were evaluated for che
279 median 40.5 years, SD 14.02), who underwent chest CT examination by means of a 16-slice scanner.
282 monary involvement of COVID-19 at unenhanced chest CT that performs very well in predicting COVID-19
283 monary involvement of COVID-19 on unenhanced chest CT images and to report its initial interobserver
284 one, receiving SDCT-examinations (unenhanced-chest CT [TNC], CT-angiography of chest and abdomen [CTA
285 icial femoral and popliteal veins; follow-up chest CT angiogram shows no evidence of pulmonary emboli
286 ive patients who were referred for follow-up chest CT angiography underwent reduced-dose CT (hereafte
288 of nivolumab treatment, the first follow-up chest CT scan was performed and showed new findings in t
289 ts with CF referred for unenhanced follow-up chest CT were evaluated in two different centers between
290 ons suspected to be caused by COVID-19 using chest CT may be of assistance when results from definiti
291 ctly identified patients with COVID-19 using chest CT scans and assigned standardized CO-RADS and CT
293 valuate the French national experience using chest CT for COVID-19, results of chest CT and reverse t
294 s who underwent preoperative screening using chest CT and RT-PCR before elective or emergency surgery
295 91 years; mean, 64 years) were examined with chest CT (multi-detector row scanner, four detector rows
298 protocol and portable chest radiograph with chest CT for localization of pathology to the correct lu
299 radiation dose levels that can be used with chest CT in order to detect indeterminate pulmonary nodu
300 t CT, 6.7% had CXR and abdominal CT (without chest CT), 5.5% had multiple CXRs without CT, and 2.6% h