ライフサイエンスコーパス: chest

1 CT, CAC screening CT, and low-dose CT of the chest.

2 e no rales were audible over any part of the chest.

3 n and patient positioning; (3) access to the chest; (4) conduct of the surgical procedure; (5) proced

4 unenhanced-chest CT [TNC], CT-angiography of chest and abdomen [CTA-Chest, CTA-Abdomen]) were include

5 chest within 12 months underwent MRI of the chest and abdomen with ferumoxytol at 3.0 T at a dose of

6 Chest X-ray, abdominal ultrasound, chest and abdominal CT and Colangio Magnetic Resonance w

7 demonstrated for the first time in both open-chest and closed-chest porcine settings.

8 least two unenhanced supine CT scans of the chest and pulmonary function tests (PFTs) performed with

9 ct), skeleton (postaxial polydactyly, narrow chest, and shortening of long bones), and enteric nervou

10 rocardiogram and a thoracic expansion sensor-chest belt) was 2.1 breaths/min for over 69% of the time

11 (-0.21, 95% CI -0.39 to -0.03, p = 0.03) and chest circumferences (-0.34 cm, 95% CI -0.62 to -0.05, p

12 al (0.90 cm, 95% CI 0.03-1.77, p = 0.04) and chest circumferences (0.80 cm, 95% CI 0.07-1.53, p = 0.0

13 rth cohort had lung function measured by the chest-compression technique in infancy (mean age +/- SD:

14 CC trial (Trial of Continuous or Interrupted Chest Compressions during CPR) were included.

15 rillator programs, analysis of rhythm during chest compressions, CPR before defibrillation, removal o

16 r CPR quality, and analysis of rhythm during chest compressions.

17 This study aimed to compare the chest computed tomography (CT) findings between survivor

18 Chest computed tomography (CT) findings in well-treated

19 m between 2000 and 2018 who underwent annual chest computed tomography (CT) imaging and BAL were used

20 Chest computed tomography (CT) is a valuable component i

21 Lung cancer screening with chest computed tomography (CT) reduces lung cancer death

22 s of early studies that addressed the use of chest computed tomography for the detection of COVID-19.

23 Chest computed tomography imaging is the optimal imaging

24 Body composition on preoperative chest computed tomography is an independent predictor of

25 ints, and a retrospective cohort (n=91) with chest computed tomography performed within 40 days post-

26 questionnaires, pulmonary function testing, chest computed tomography, a blood sample collection for

27 mbolism and an RV/LV diameter ratio >=0.9 on chest computed tomography.

28 Chest computerized tomography (CT) scan, RT-qPCR, latera

29 of post-bronchodilator FVC and TLC(CT) from chest CT (FVC/TLC(CT)) among current and former smokers

30 one, receiving SDCT-examinations (unenhanced-chest CT [TNC], CT-angiography of chest and abdomen [CTA

31 Low-dose submillisievert chest CT allows for rapid, accurate, and reproducible as

32 Conclusion Chest CT analysis using the coronavirus disease 2019 (CO

33 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

34 OVID-19 pneumonia who underwent both initial chest CT and at least one RT-PCR test within 48 hours we

35 -19 infection were studied by using low-dose chest CT and real-time reverse transcription polymerase

36 s who underwent preoperative screening using chest CT and RT-PCR before elective or emergency surgery

37 ve yield of screening using a combination of chest CT and RT-PCR was 1.5% [95% confidence interval (C

38 posed method takes as input a non-contrasted chest CT and segments the lesions, lungs, and lobes in t

39 ubjects underwent inspiratory and expiratory chest CT and spirometry at baseline and 5-year follow-up

40 companies are focused on nodule detection at chest CT and two-dimensional mammography.

41 COVID-19 patients were studied with low-dose chest CT at admission.

42 nderwent standardized combined abdominal and chest CT between March 15, 2020 and April 30, 2020.

43 -PCR)-confirmed COVID-19 in each of the four chest CT categories (typical, indeterminate, atypical, a

44 The number of patients assigned to chest CT categories typical, indeterminate, atypical, an

45 a 5th-year radiology resident using the RSNA chest CT classification system for reporting COVID-19 pn

46 The RSNA chest CT classification system for reporting COVID-19 pn

47 mpared with RT-PCR, low-dose submillisievert chest CT demonstrated excellent sensitivity, specificity

48 There was no significant difference for chest CT efficacy among the 26 geographically separate s

49 ncluded patients who underwent a nonenhanced chest CT examination because of clinical suspicion of CO

50 eural network trained with (a) 1181 low-dose chest CT examinations (baseline), (b) a small set of exa

51 Multiphase chest CT examinations performed at 20% of sites (11 of 5

52 se length product compared with single-phase chest CT examinations performed in 80% of sites (43 of 5

53 udy, CT projection data from 83 routine-dose chest CT examinations performed in 83 patients (120 kV,

54 Chest CT features were calculated in a subgroup of patie

55 ss-sectional analysis examining interstitial chest CT findings in PWH (n = 754) and uninfected contro

56 In group 1, non-chest CT findings provided the initial evidence of COVID

57 rus 2 at nasal-pharyngeal swabbing, negative chest CT findings, and incomplete clinical data were exc

58 On the basis of chest CT findings, the patient was transferred from an o

59 protocol and portable chest radiograph with chest CT for localization of pathology to the correct lu

60 Low-dose chest CT for the diagnosis of COVID-19.

61 Conclusion Use of chest CT for the initial diagnosis and triage of patient

62 Chest CT had high sensitivity (97%) but lower specificit

63 Chest CT has the additional advantage of offering altern

64 monary involvement of COVID-19 on unenhanced chest CT images and to report its initial interobserver

65 EV)) (myocardium and chamber) estimated from chest CT images in participants with COPD and then to de

66 Moreover, serial chest CT imaging with different time intervals is also e

67 ients with laboratory-confirmed COVID-19 and chest CT imaging, admitted to four centers between Janua

68 radiation dose levels that can be used with chest CT in order to detect indeterminate pulmonary nodu

69 Radiomics differentiated chest CT in outpatient versus inpatient with an AUC of 0

70 Background The role and performance of chest CT in the diagnosis of the coronavirus disease 201

71 antitative burden of consolidation or GGO on chest CT independently predict clinical deterioration or

72 formance of radiologist emergency department chest CT interpretation for diagnosing COVID-19 during t

73 arcinomas manifesting as subsolid nodules at chest CT is accurately represented by an exponential mod

74 tion of the Fleischner grade of emphysema at chest CT is associated with clinical measures of pulmona

75 Chest CT is more sensitive than plain chest X-rays, and

76 polymerase chain reaction (RT-PCR) test, but chest CT may play a complimentary role in the early dete

77 24 were screened by CT and RT-PCR and 869 by chest CT only.

78 r vascular indications, patients who refused chest CT or hospitalization, and severe CT motion artifa

79 lung involvement on submillisievert low-dose chest CT outperformed conventional visual analysis in pr

80 ion criteria were contrast material-enhanced chest CT performed for vascular indications, patients wh

81 Each chest CT scan was evaluated using RSNA guidelines by 9 r

82 of nivolumab treatment, the first follow-up chest CT scan was performed and showed new findings in t

83 s based on the analysis of all slices of the chest CT scan.

84 Subsequently, chest CT scanning was performed as part of routine 6-mon

85 ctly identified patients with COVID-19 using chest CT scans and assigned standardized CO-RADS and CT

86 After lung segmentation, chest CT scans from center 1 (training cohort, 162 patie

87 Opacity patterns on chest CT scans in COVID-19 are different based on sex an

88 Chest CT scans of consecutive patients suspected of havi

89 The system was evaluated by using 105 chest CT scans of patients admitted to the hospital with

90 ered as the pandemic unfolds, leading to non-chest CT scans that may uncover unsuspected pulmonary di

91 As part of clinical practice, chest CT scans were obtained for primary work-up and sco

92 lementation of radiomics in clinical routine chest CT scans.

93 monary involvement of COVID-19 at unenhanced chest CT that performs very well in predicting COVID-19

94 This implies that with use of chest CT there are a large number of false-positive resu

95 The yield of adding chest CT to abdominal CT to detect COVID-19 in patients

96 ncremental yield of standardized addition of chest CT to abdominal CT to detect COVID-19 in patients

97 andemic several centers have routinely added chest CT to abdominal CT to detect possible COVID-19 in

98 exists between positive predictive values of chest CT versus those of reverse transcriptase polymeras

99 three dimensions, based on a dataset of 9749 chest CT volumes.

100 .6-1.7) for RT-PCR; the incremental yield of chest CT was 0.4%.

101 The added value of chest CT was limited.

102 teroposterior chest radiography and enhanced chest CT were also performed at admission.

103 ts with COVID-19 infection who had undergone chest CT were enrolled in this retrospective study.

104 February 17 and March 10, 2020 who underwent chest CT were retrospectively analyzed.

105 Radiomics from noncontrast chest CT were superior to radiologists' assessment of ex

106 pare the performance of lower-radiation-dose chest CT with that of routine dose in the detection of i

107 Chest CT yielded an AUC of 0.87 (95% CI: 0.84, 0.89) com

108 surgical patients for COVID-19 using either chest CT, RT-PCR or both, due to the risk for worsened s

109 BackgroundPattern of emphysema at chest CT, scored visually by using the Fleischner Societ

110 o develop quantifiable imaging biomarkers at chest CT, such as for osteoporosis, chronic obstructive

111 cs) were detected from 304 times of enhanced chest CT.

112 Malformation indexes were evaluated using chest CT.

113 gh COVID-19 suspicion (CO-RADS 4-5) based on chest CT.

114 All patients underwent RT-PCR and chest CT.

115 collapse and air trapping at end-expiration chest CT.

116 C], CT-angiography of chest and abdomen [CTA-Chest, CTA-Abdomen]) were included.

117 Normal controls included chest CTs from oncology, emergency, and pneumonia-relate

118 Radiotherapy planning datasets and follow-up chest CTs were obtained in eight patients treated for ta

119 of symptoms; sensitivity and specificity for chest CTs without time stratification.

120 y was quantified based on routinely acquired chest CTs.

121 od cancer treated with anthracyclines and/or chest-directed radiation are at increased risk for heart

122 d not have exposure to anthracyclines and/or chest-directed radiation) and 285 control subjects.

123 edure termination and lung re-expansion; (6) chest drainage.

124 zy paving and pleural effusion on initial CT chest have potential prognostic values, the features mor

125 Chest HRCT scans, performed before therapy and after the

126 [aOR 1.9, 95%CI 1.1-3.5, p=0.033], abnormal chest imaging [aOR 2.9, 95%CI 1.1-7.5, p=0.027]) were in

127 itive patients with uveitis, 17 patients had chest imaging changes suggesting either TB or sarcoidosi

128 ys, other etiologies must be eliminated, and chest imaging findings must be abnormal.

129 diabetes, respiratory rate >22/min, abnormal chest imaging findings, O2 saturation lower than 90%, an

130 nfirmed proximal deep vein thrombosis but no chest imaging.

131 ms [apnea, stridor, nasal flaring, wheezing, chest indrawing, and/or central cyanosis]) were tested f

132 om WHO protocol at the HC level and includes chest indrawing, identified all but one of these deaths.

133 current runny nose, nasal congestion, fever, chest indrawing, or cyanosis.

134 ian children, treatment with amoxicillin for chest-indrawing pneumonia for 3 days was noninferior to

135 (HIV) who were 2 to 59 months of age and had chest-indrawing pneumonia were randomly assigned to rece

136 Injury Severity Score, and serious brain and chest injuries.

137 LES turns to the left as it entered from the chest into the abdomen, forming an angle between the spi

138 anthracyclines and alkylating agents in non-chest irradiated survivors, and the effects of ovarian f

139 on multivariable analysis; pain on scars on chest (odds ratio (OR) 1.27; 95% CI 0.97-1.65), low mood

140 t-enhanced computed tomography (CT) scans of chest of 100 patients with previous history of treated p

141 s a versatile addition to the expanding tool chest of open-source miniscopes that will increase acces

142 P=0.034], and a history of radiation to the chest [OR, 3.5, P=0.024]).

143 bdominal wall, vascular, abdominal, cardiac, chest, or orthopedic and used multivariable logistic reg

144 The closed-chest pacing only requires the external source power of

145 diagnoses were symptom-based descriptions of chest pain (34%) and shortness of breath (6.5%) and the

146 otyped immune response, and characterized by chest pain associated often with peculiar electrocardiog

147 rapy prior to randomization, and have severe chest pain at baseline.

148 months of treatment, the pleural lesion and chest pain disappeared.

149 mography angiography in the workup of stable chest pain in patients with diabetes mellitus in the con

150 ood of emergency department presentation for chest pain or hospital admission for AMI between practic

151 Among patients with stable chest pain undergoing a noninvasive test, inconclusive r

152 Episodes of acute myocardial injury (chest pain with troponin elevation and normal coronary a

153 Multicenter Imaging Study for Evaluation of Chest Pain) patients were randomized to stress testing (

154 Multicenter Imaging Study for Evaluation of Chest Pain), SCOT-HEART trial (Scottish Computed Tomogra

155 placement, 1 death, and 5 hospitalizations-1 chest pain, 2 dyspnea, 1 heart failure, and 1 syncope) o

156 Three of the examined symptoms (neck lump, chest pain, and back pain) were consistently associated

157 n patients with diabetes mellitus and stable chest pain, coronary computed tomography angiography inc

158 cal outcomes were similar at 5 years, except chest pain, diarrhea, and bloat symptoms which were more

159 The patient denied chest pain, dyspnea, focal weakness, or prior similar ep

160 comes (emergency department presentation for chest pain, hospital admission for unstable angina or ac

161 In patients presenting with stable chest pain, low-attenuation plaque burden is the stronge

162 Median time to deterioration in cough, chest pain, or dyspnoea was not reached (95% CI 10.2 mon

163 ) score, and time to deterioration in cough, chest pain, or dyspnoea.

164 rolled trial of CCTA in patients with stable chest pain, we investigated the association between the

165 spitals participating in the CathPCI and the Chest Pain-MI registries, both part of the American Coll

166 g acute myocardial ischemia in patients with chest pain.

167 nd reduce unnecessary costs in patients with chest pain.

168 bclinical disease to the assessment of acute chest pain.

169 lcium (CAC) scoring CT, diagnostic CT of the chest, PET attenuation correction CT, radiation therapy

171 the first time in both open-chest and closed-chest porcine settings.

172 d to the effects of prescribed moderate-dose chest radiation (10 to 19 Gy), radiation dose-volume, an

173 for survivors treated with 10 Gy or greater chest radiation (strong recommendation) and upper abdomi

174 Patients with pre-BMT chest radiation or a history of breast cancer were exclu

175 any type of anthracyclines in the absence of chest radiation.

176 (79%) and interstitial process for portable chest radiograph (29%).

177 n for both pulmonary ultrasound and portable chest radiograph (96% and 73%, respectively).

178 wo experienced radiologists categorized each chest radiograph as characteristic, nonspecific, or nega

179 ortality; and percentage of opacification on chest radiograph at drain removal and at 30, 90, and 180

180 Chest radiograph categorization was compared against RT-

181 ng clinical decision support tool for supine chest radiograph examinations in the clinical routine wi

182 ation criteria with bilateral infiltrates on chest radiograph experience a more intense early inflamm

183 Radiologists were blinded to the supine chest radiograph findings during CT interpretation.

184 vel models for detecting clinically relevant chest radiograph findings were developed for this study

185 reement of pulmonary ultrasound and portable chest radiograph findings with correlating lobe ("lobe-s

186 st between pulmonary ultrasound and portable chest radiograph for interstitial findings (86% vs 29%,

187 An automated deep-learning approach based on chest radiograph images may identify more smokers at hig

188 evelop and evaluate deep learning models for chest radiograph interpretation by using radiologist-adj

189 and mid to lower lung zone distribution on a chest radiograph obtained in the setting of pandemic COV

190 0.78-0.93) when considering only the supine chest radiograph reading score 2 as positive for pneumon

191 Among patients who were admitted, a chest radiograph score of 3 or more was an independent p

192 he relationship between clinical parameters, chest radiograph scores, and patient outcomes.

193 Purpose To analyze the prognostic value of a chest radiograph severity scoring system for younger (no

194 Each patient's ED chest radiograph was divided into six zones and examined

195 t pulmonary ultrasound protocol and portable chest radiograph with chest CT for localization of patho

196 pneumonia were no fever, no consolidation on chest radiograph, and absolute neutrophil count <5 x 109

197 apillary refill, atelectasis or pneumonia on chest radiograph, and pleural effusion.

198 trasound significantly outperformed portable chest radiograph.

199 Chest radiographic and CT abnormalities were predominate

200 Conclusion A risk model based on chest radiographic and laboratory findings obtained at a

201 Of the 376 chest radiographic examinations, 37 (10%) exhibited the

202 Chest radiographic findings included ground-glass opacit

203 Purpose To determine the value of chest radiographic findings together with patient histor

204 y identifying COVID-19 with a characteristic chest radiographic pattern was 15.5% (31/200) and 96.6%

205 two reviewers for detecting abnormalities on chest radiographs (kappa = 0.99; 95% confidence interval

206 acquired using one manufacturer (Siemens) to chest radiographs acquired using another (Philips), prod

207 le-GAN to translate texture information from chest radiographs acquired using one manufacturer (Sieme

208 RFs, extracted from chest radiographs after the cycle-GAN's texture translat

209 All chest radiographs and clinical outcomes of patients, inc

210 experienced radiologists who identified fake chest radiographs as belonging to a target manufacturer

211 inputs, ML classifiers categorized the fake chest radiographs as belonging to the target manufacture

212 standard, the AI system correctly classified chest radiographs as COVID-19 pneumonia with an area und

213 Using cycle-GAN-generated chest radiographs as inputs, ML classifiers categorized

214 esented with increased severity on admission chest radiographs compared with White or non-Hispanic pa

215 spective study, 22 960 de-identified frontal chest radiographs from 11 153 patients (average age, 60.

216 Background Disease severity on chest radiographs has been associated with higher risk o

217 ndomly sampled test data set composed of 500 chest radiographs in 500 patients was evaluated by the C

218 9-Net, was trained, validated, and tested on chest radiographs in patients with and without COVID-19

219 ligence (AI) algorithm to detect COVID-19 on chest radiographs might be useful for triage or infectio

220 Postoperative chest radiographs on postoperative days 1, 3, and 8 (Fig

221 For the chest radiographs positive for COVID-19, patients with r

222 terpretation of lung opacities in ICU supine chest radiographs remains challenging.

223 the detection of coronavirus disease 2019 on chest radiographs was comparable with that of six indepe

224 Skull and chest radiographs were obtained (Figs 1, 2), and the pat

225 A total of 1964 chest radiographs were obtained, of which normal images

226 Medical records and chest radiographs were reviewed for the main tertiary ho

227 orithm, detected coronavirus disease 2019 on chest radiographs with a performance similar to that of

228 ts are proficient in differentiating between chest radiographs with and without symptoms of pneumonia

229 ired using another (Philips), producing fake chest radiographs with different textures.

230 radiologists had difficulty recognizing the chest radiographs' manufacturer.

231 er the cycle-GAN's texture translation (fake chest radiographs), showed decreased intermanufacturer R

232 The initial chest radiographs, clinical variables, and outcomes, inc

233 For the 500 sampled chest radiographs, CV19-Net achieved an AUC of 0.94 (95%

234 as the severity of lung disease on admission chest radiographs, measured by using the modified Radiog

235 For the non-COVID-19 chest radiographs, patients with pneumonia who underwent

236 learning AI algorithm to detect COVID-19 on chest radiographs, that was trained and tested on a larg

237 19) pneumonia from non-COVID-19 pneumonia on chest radiographs.

238 nificantly less likely to have cavitation on chest radiographs.

239 side studies, with 87% of patients receiving chest radiographs.

240 ty, nodule or mass, and fracture) on frontal chest radiographs.

241 Results A total of 2060 patients (5806 chest radiographs; mean age, 62 years +/- 16 [standard d

242 h COVID-19 pneumonia and 3148 patients (5300 chest radiographs; mean age, 64 years +/- 18; 1578 men)

243 964) with findings of pulmonary infection at chest radiography (all of whom were symptomatic) require

244 Thirteen studies were eligible (CT = 12; chest radiography = 1; US = 0).

245 Combining chest radiography and clinical variables increased the A

246 All patients underwent chest radiography and CT within 4 days of presentation (

247 Anteroposterior chest radiography and enhanced chest CT were also perfor

248 Patients have initial imaging with chest radiography and ultrasound, which can also be used

249 raphs, patients with pneumonia who underwent chest radiography between October 1, 2019, and December

250 sented with higher mRALE scores at admission chest radiography compared with White or non-Hispanic pa

251 quired alveolar pneumonia (CAAP) and overall chest radiography examination rates in young children.

252 Background Chest radiography has not been validated for its prognos

253 ning has the potential to augment the use of chest radiography in clinical radiology, but challenges

254 t RT-PCR results to determine the utility of chest radiography in diagnosing COVID-19.

255 n impact on radiomic diagnostic accuracy for chest radiography in patients with congestive heart fail

256 leischner Society recommendations, screening chest radiography is not indicated in patients with coro

257 ase level, distribution of lung disease, and chest radiography score at hospital presentation.

258 ally assessed by using an eight-point scale (chest radiography score).

259 Chest radiography showed no pneumonia, and venous ultras

260 IF test, urinary lipoarabinomannan test, and chest radiography) to determine whether treatment for tu

261 examines the spectrum of imaging findings at chest radiography, US, CT, and MRI in 35 children admitt

262 umonia from other causes of abnormalities at chest radiography.

263 pectively and independently evaluated by two chest radiologists and a 5th-year radiology resident usi

264 kappa coefficients among the chest radiologists and the 5th-year radiology resident w

265 The kappa coefficient among the chest radiologists was 0.663 (95% confidence interval [C

266 Women aged 20 years with a history of chest radiotherapy.

267 e high-resolution computed tomography (HRCT) chest scans and/or pulmonary function test results in pa

268 Acute chest syndrome (ACS) is a significant cause of morbidity

269 he etiological mechanisms that trigger acute chest syndrome are largely unknown.Objectives: To identi

270 s acute respiratory distress syndrome, acute chest syndrome, and sepsis.

271 to occur in the lung and contribute to acute chest syndrome, the etiological mechanisms that trigger

272 ndent innate immune pathway to prevent acute chest syndrome.

273 a disposable multisensor patch placed on the chest that recorded physiological data.

274 owed significant differences with respect to chest tightness during exercise, dyspnoea and gender.

275 d with younger age (p = 0.009), but not with chest tube bleeding (p = 0.18), other bleeding requiring

276 n pleural fluid pH to determine the need for chest tube drainage despite a lack of prospective valida

277 he control group (n = 164) underwent bedside chest tube insertion with local anesthesia followed by a

278 eline-based management (aspiration, standard chest tube insertion, or both).

279 ial fibrillation, pancreatitis, vulvar pain, chest tube malfunction and conversion to open splenectom

280 rately predict the subsequent insertion of a chest tube with an area under the curve (AUC) of 0.93 (9

281 se of a three-dimensional scanner applied to chest wall malformations.

282 rence occurs in one-quarter of children with chest wall sarcoma and is independent of tumor type.

283 Children with chest wall sarcoma require multimodal therapy including

284 w of 175 children (median age 13 years) with chest wall sarcoma treated at seventeen Pediatric Surgic

285 hat was uninvolved in the surgical incision (chest wall).

286 ation revealed well-healed VATS scars in the chest wall.

287 ntrol in patients with bone, lymph node, and chest wall/breast/skin metastases at baseline was observ

288 ents with bone, liver, lung, lymph node, and chest wall/breast/skin metastases.

289 Nonenhanced thin-section CT of the chest was performed.

290 Computed tomography (CT) and MRI chest were performed in 35 immuno-compromised patients s

291 h pulmonary AVMs who had undergone CT of the chest within 12 months underwent MRI of the chest and ab

292 Initial chest x-ray most commonly showed bilateral infiltrates,

293 Chest X-ray showed diffuse ground-glass shadows in both

294 Chest X-ray, abdominal ultrasound, chest and abdominal C

295 events included rearrest, pulmonary edema on chest x-ray, acute renal dysfunction, bleeding requiring

296 ever, hypoxia, and ground-glass opacities on chest X-ray.

297 Chest X-rays lacked definite signs of pneumonia, a defin

298 encephalitis and 9 out of 11 patients whose chest X-rays were obtained had bilateral infiltrates.

299 Chest CT is more sensitive than plain chest X-rays, and CT studies make it possible to identif

300 The lungs are the main organ involved, and chest X-rays, whether obtained in conventional X-ray sui