FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2330870938> ?p ?o ?g. }

• W2330870938 endingPage "498" @default.
• W2330870938 startingPage "489" @default.
• W2330870938 abstract "Purpose To assess lesion detection and image quality of ultralow-dose (ULD) abdominal computed tomography (CT) reconstructed with filtered back projection (FBP) and 2 iterative reconstruction techniques: hybrid-based iDose, and image-based SafeCT. Materials and Methods In this institutional review board–approved ongoing prospective clinical study, 41 adult patients provided written informed consent for an additional ULD abdominal CT examination immediately after standard dose (SD) CT exam on a 256-slice multidetector computed tomography (iCT, Philips-Healthcare). The SD examination (size-specific dose estimate, 10 ± 3 mGy) was performed at 120 kV with automatic exposure control, and reconstructed with FBP. The ULD examination (1.5 ± 0.4 mGy) was performed at 120 kV and fixed tube current of 17 to 20 mAs/slice to achieve ULD radiation dose, with the rest of the scan parameters same as SD examination. The ULD data were reconstructed with (a) FBP, (b) iDose, and (c) SafeCT. Lesions were detected on ULD FBP series and compared to SD FBP “reference-standard” series. True lesions, pseudolesions, and missed lesions were recorded. Four abdominal radiologists independently blindly performed subjective image quality. Objective image quality included image noise calculation and noise spectral density plots. Results All true lesions (n, 52: liver metastases, renal cysts, diverticulosis) in SD FBP images were detected in ULD images. Although there were no missed or pseudolesions on ULD iDose and ULD SafeCT images, appearance of small low-contrast hepatic lesions was suboptimal. The ULD FBP images were unacceptable across all patients for both lesion detection and image quality. In patients with a body mass index (BMI) of 25 kg/m2 or less, ULD iDose and ULD SafeCT images were acceptable for image quality that was close to SD FBP for both normal and abnormal abdominal and pelvic structures. With increasing BMI, the image quality of ULD images was deemed unacceptable due to photo starvation. Evaluation of kidney stones with ULD iDose/SafeCT images was found acceptable regardless of patient size. Image noise levels were significantly lower in ULD iDose and ULD SafeCT images compared to ULD FBP (P < 0.01). Conclusions Preliminary results show that ULD abdominal CT reconstructed with iterative reconstruction techniques is achievable in smaller patients (BMI ≤ 25 kg/m2) but remains a challenge for overweight to obese patients. Lesion detection is similar in full-dose SD FBP and ULD iDose/SafeCT images, with suboptimal visibility of low-contrast lesions in ULD images." @default.
• W2330870938 created "2016-06-24" @default.
• W2330870938 creator A5002270782 @default.
• W2330870938 creator A5004020789 @default.
• W2330870938 creator A5009226103 @default.
• W2330870938 creator A5035629481 @default.
• W2330870938 creator A5036830189 @default.
• W2330870938 creator A5037128609 @default.
• W2330870938 creator A5045335277 @default.
• W2330870938 creator A5065656639 @default.
• W2330870938 creator A5087606400 @default.
• W2330870938 creator A5091480554 @default.
• W2330870938 date "2015-01-01" @default.
• W2330870938 modified "2023-09-26" @default.
• W2330870938 title "Ultralow-Dose Abdominal Computed Tomography" @default.
• W2330870938 cites W1973565431 @default.
• W2330870938 cites W1976833053 @default.
• W2330870938 cites W1976953564 @default.
• W2330870938 cites W1978732781 @default.
• W2330870938 cites W2003624223 @default.
• W2330870938 cites W2014672520 @default.
• W2330870938 cites W2015116522 @default.
• W2330870938 cites W2017579767 @default.
• W2330870938 cites W2024095724 @default.
• W2330870938 cites W2034620525 @default.
• W2330870938 cites W2036281165 @default.
• W2330870938 cites W2047046916 @default.
• W2330870938 cites W2051788617 @default.
• W2330870938 cites W2054219956 @default.
• W2330870938 cites W2058785810 @default.
• W2330870938 cites W2074170100 @default.
• W2330870938 cites W2075837861 @default.
• W2330870938 cites W2076004493 @default.
• W2330870938 cites W2077948406 @default.
• W2330870938 cites W2078661560 @default.
• W2330870938 cites W2085689605 @default.
• W2330870938 cites W2095718637 @default.
• W2330870938 cites W2100822719 @default.
• W2330870938 cites W2105706236 @default.
• W2330870938 cites W2118902776 @default.
• W2330870938 cites W2119803574 @default.
• W2330870938 cites W2121571320 @default.
• W2330870938 cites W2121845508 @default.
• W2330870938 cites W2124822017 @default.
• W2330870938 cites W2134471668 @default.
• W2330870938 cites W2142008745 @default.
• W2330870938 cites W2153549888 @default.
• W2330870938 cites W2155346040 @default.
• W2330870938 cites W2163664959 @default.
• W2330870938 cites W2169074549 @default.
• W2330870938 cites W2171697262 @default.
• W2330870938 doi "https://doi.org/10.1097/rct.0000000000000248" @default.
• W2330870938 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26182223" @default.
• W2330870938 hasPublicationYear "2015" @default.
• W2330870938 type Work @default.
• W2330870938 sameAs 2330870938 @default.
• W2330870938 citedByCount "14" @default.
• W2330870938 countsByYear W23308709382016 @default.
• W2330870938 countsByYear W23308709382017 @default.
• W2330870938 countsByYear W23308709382018 @default.
• W2330870938 countsByYear W23308709382019 @default.
• W2330870938 countsByYear W23308709382020 @default.
• W2330870938 crossrefType "journal-article" @default.
• W2330870938 hasAuthorship W2330870938A5002270782 @default.
• W2330870938 hasAuthorship W2330870938A5004020789 @default.
• W2330870938 hasAuthorship W2330870938A5009226103 @default.
• W2330870938 hasAuthorship W2330870938A5035629481 @default.
• W2330870938 hasAuthorship W2330870938A5036830189 @default.
• W2330870938 hasAuthorship W2330870938A5037128609 @default.
• W2330870938 hasAuthorship W2330870938A5045335277 @default.
• W2330870938 hasAuthorship W2330870938A5065656639 @default.
• W2330870938 hasAuthorship W2330870938A5087606400 @default.
• W2330870938 hasAuthorship W2330870938A5091480554 @default.
• W2330870938 hasConcept C115961682 @default.
• W2330870938 hasConcept C126838900 @default.
• W2330870938 hasConcept C141379421 @default.
• W2330870938 hasConcept C154945302 @default.
• W2330870938 hasConcept C163716698 @default.
• W2330870938 hasConcept C2989005 @default.
• W2330870938 hasConcept C2992612897 @default.
• W2330870938 hasConcept C35772409 @default.
• W2330870938 hasConcept C41008148 @default.
• W2330870938 hasConcept C55020928 @default.
• W2330870938 hasConcept C71924100 @default.
• W2330870938 hasConceptScore W2330870938C115961682 @default.
• W2330870938 hasConceptScore W2330870938C126838900 @default.
• W2330870938 hasConceptScore W2330870938C141379421 @default.
• W2330870938 hasConceptScore W2330870938C154945302 @default.
• W2330870938 hasConceptScore W2330870938C163716698 @default.
• W2330870938 hasConceptScore W2330870938C2989005 @default.
• W2330870938 hasConceptScore W2330870938C2992612897 @default.
• W2330870938 hasConceptScore W2330870938C35772409 @default.
• W2330870938 hasConceptScore W2330870938C41008148 @default.
• W2330870938 hasConceptScore W2330870938C55020928 @default.
• W2330870938 hasConceptScore W2330870938C71924100 @default.
• W2330870938 hasIssue "4" @default.
• W2330870938 hasLocation W23308709381 @default.
• W2330870938 hasLocation W23308709382 @default.

• next