Pediatric contrast-enhanced chest CT on a photon-counting detector CT: radiation dose and image quality compared to energy-integrated detector CT

被引:1
|
作者
El-Ali, Alexander M. [1 ,2 ]
Strubel, Naomi [1 ,2 ]
Pinkney, Lynne [1 ,2 ]
Xue, Christine [1 ,2 ]
Dane, Bari [1 ,3 ]
Lala, Shailee V. [1 ,2 ]
机构
[1] New York Univ Langone Med Ctr, New York, NY 10016 USA
[2] NYU Grossman Sch Med, Div Pediat Radiol, Dept Radiol, 660 First Ave, New York, NY 10016 USA
[3] NYU Grossman Sch Med, Div Body Imaging, Dept Radiol, 660 First Ave, New York, NY 10016 USA
关键词
Child; Contrast media; Lung; Photons; Radiation dosage; Tomography; X-ray computed; COMPUTED-TOMOGRAPHY; AGREEMENT;
D O I
10.1007/s00247-024-06078-1
中图分类号
R72 [儿科学];
学科分类号
100202 ;
摘要
Background Photon counting detector (PCD) CT benefits from reduced noise compared with conventional energy-integrating detector (EID) CT, which should translate to improved image quality and reduced radiation exposure for pediatric patients undergoing chest CT with IV contrast. Objective To determine the differences in radiation exposure and image quality of PCD CT and EID CT in pediatric chest CT with intravenous (IV) contrast. Materials and methods In this institutional review board-approved retrospective observational study, 20 scan pairs (20 PCD CT; 20 EID CT) for children who underwent chest CT with IV contrast on both a PCD CT (Siemens NAEOTOM Alpha) and an EID CT (Siemens SOMATOM Definition Edge or Force) within 12 months were reviewed independently by three pediatric radiologists for three subjective quality features on 5-point Likert scales: overall quality, small structure delineation, and motion artifact. Objective measures of image quality (image noise, signal-to-noise ratio, and contrast-to-noise ratio) were assessed by a single radiologist in several locations in the chest through region of interest measurement of Hounsfield units (HU) and standard deviation. Patient-related and radiation exposure parameters were collected for each scan and summarized with median and interquartile range (IQR). The Wilcoxon rank-sum test was utilized to compare groups. A P < 0.05 indicated statistical significance. Inter-observer agreement of subjective image quality metrics was analyzed using weighted kappa. Results Age (14.2 years vs 13.8 years, P= 0.15), height (P= 0.13), weight (P= 0.21), and BMI (P = 0.24) did not significantly differ between groups. There were 10 male and 3 female patients. Compared to EID CT, PCD CT showed lower radiation exposure parameters including volumetric CT dose index, 1.7 mGy (IQR 1.1-2.4 mGy) vs 3.8 mGy (IQR 2.0-4.7 mGy) (P< 0.01), and size-specific dose estimate, 2.6 mGy (IQR 1.8-3.1 mGy) vs 5.0 mGy (IQR 3.3-6.2 mGy) (P< 0.01). Objective image quality of lung parenchyma was improved on the PCD CT scanner, including image noise 119.5 HU (IQR 95.4-135.7 HU) vs 143.1 HU (IQR 125.4-169.8 HU) (P < 0.01), signal-to-noise ratio (SNR) -6.1 (IQR -8.4 to -4.8) vs -4.9 (IQR -5.6 to -3.8) (P= 0.01), and contrast-to-noise ratio -63.9 (-84.1 to -57.5) vs -60.5 (-76.3 to -52.5) (P = 0.01). Motion artifact was improved on the PCD CT scanner (P< 0.01). No significant differences in overall image quality or small structure delineation were identified (P= 0.06 and P= 0.31). Conclusion PCD CT pediatric chest CT had significantly reduced radiation exposure, improved image quality, and reduced motion artifact compared with EID CT.
引用
收藏
页码:1984 / 1995
页数:12
相关论文
共 50 条
  • [31] Photon Counting Versus Energy-integrated Detector CT in Detection of Superior Semicircular Canal Dehiscence
    Nathan S. Doyle
    John C. Benson
    Carrie M. Carr
    Felix E. Diehn
    Matthew L. Carlson
    Shuai Leng
    John I. Lane
    Clinical Neuroradiology, 2024, 34 : 251 - 255
  • [32] CT Angiography of the Aorta Using Photon-counting Detector CT with Reduced Contrast Media Volume
    Higashigaito, Kai
    Mergen, Victor
    Eberhard, Matthias
    Jungblut, Lisa
    Hebeisen, Monika
    Ratzer, Susan
    Zanini, Bettina
    Kobe, Adrian
    Martini, Katharina
    Euler, Andre
    Alkadhi, Hatem
    RADIOLOGY-CARDIOTHORACIC IMAGING, 2023, 5 (01):
  • [33] Back to the Future: Dynamic Contrast-Enhanced Photon-Counting Detector CT for the Detection of Pituitary Adenoma in Cushing Disease
    Mark, Ian T.
    Van Gompel, Jamie
    Bancos, Irina
    Nagelschneider, Alex A.
    Johnson, Derek R.
    Bathla, Girish
    Madhavan, Ajay A.
    Weber, Nikkole M.
    Yu, Lifeng
    AMERICAN JOURNAL OF NEURORADIOLOGY, 2024, : 743 - 746
  • [34] Image Quality Analysis of Photon-Counting CT Compared with Dual-Source CT: A Phantom Study for Chest CT Examinations
    Deleu, Marine
    Maurice, Jean-Baptiste
    Devos, Laura
    Remy, Martine
    Dubus, Francois
    DIAGNOSTICS, 2023, 13 (07)
  • [35] Contrast-enhanced spectral mammography with a photon-counting detector
    Fredenberg, Erik
    Hemmendorff, Magnus
    Cederstrom, Bjorn
    Aslund, Magnus
    Danielsson, Mats
    MEDICAL PHYSICS, 2010, 37 (05) : 2017 - 2029
  • [36] Image quality of photon-counting detector CT virtual monoenergetic and polyenergetic reconstructions for head and neck CT angiography
    Spampinato, Maria Vittoria
    Rodgers, Jeffrey
    McGill, Liam J.
    Schoepf, Uwe Joseph
    O'Doherty, Jim
    CLINICAL IMAGING, 2024, 108
  • [37] Quantum Iterative Reconstruction for Abdominal Photon-counting Detector CT Improves Image Quality
    Sartoretti, Thomas
    Landsmann, Anna
    Nakhostin, Dominik
    Eberhard, Matthias
    Roeren, Christian
    Mergen, Victor
    Higashigaito, Kai
    Raupach, Rainer
    Alkadhi, Hatem
    Euler, Andre
    RADIOLOGY, 2022, 303 (02)
  • [38] Contrast-enhanced spectral mammography based on a photon-counting detector: Quantitative accuracy and radiation dose
    Lee, Seungwan
    Kang, Sooncheol
    Eom, Jisoo
    MEDICAL IMAGING 2017: PHYSICS OF MEDICAL IMAGING, 2017, 10132
  • [39] Photon-counting detector CT provides superior subsolid nodule characterization compared to same-day energy-integrating detector CT
    Wang, Jinhua
    Huang, Zhicheng
    Zhu, Zhenchen
    Wang, Baiyu
    Han, Wei
    Hu, Ge
    Ying, Zhoumeng
    Yu, Yang
    Wang, Yadong
    Pan, Zhengsong
    Wang, Daoyun
    Song, Yang
    Li, Haochen
    Liu, Lei
    Song, Lan
    Liang, Naixin
    Song, Wei
    EUROPEAN RADIOLOGY, 2024,
  • [40] Improved display and detection of small renal stones using photon-counting detector CT compared to conventional energy-integrating detector CT
    Esquivel, Andrea
    Potretzke, Theodora
    Ferrero, Andrea
    Inoue, Akitoshi
    Hoodeshenans, Safa
    Mileto, Achille
    Winfree, Timothy
    Yalon, Mariana
    Khandelwal, Ashish
    Rajendran, Kishore
    Thorne, Jamison E.
    Lee, Yong S.
    Potretzke, Aaron
    Leng, Shuai
    Mccollough, Cynthia H.
    Fletcher, Joel G.
    ABDOMINAL RADIOLOGY, 2025,