PMID- 38477205
OWN - NLM
STAT- Publisher
LR  - 20240313
IS  - 1573-4056 (Electronic)
DP  - 2024 Feb 21
TI  - Relationships between Size-specific Dose Estimate and Signal to Noise Ratio under 
      Chest CT Examinations with Tube Current Modulation.
LID - 10.2174/0115734056267251231121064259 [doi]
AB  - PURPOSE: Exploring the relationship between the signal-to-noise ratio (SNR) of 
      organs and size-specific dose estimate (SSDE) in tube current modulation (TCM) 
      chest CT examination. METHODS: Forty patients who received TCM chest CT scanning 
      were retrospectively collected and divided into four groups according to the tube 
      voltage and sexes. We chose to set up the region of interest (ROI) at the 
      tracheal bifurcation and its upper and lower parts in slice images of the heart, 
      aorta, lungs, paracranial muscles, and female breast, and the SNR of each organ 
      was calculated. We also calculated the corresponding axial volume CT dose index 
      (CTDIvolz) and axial size-specific dose estimate (SSDEz). RESULTS: The 
      correlation analysis showed that the correlation between the SNR of the slice 
      images of most organs and SSDEz was more significant than 0.8, and that between 
      the SNR and CTDIvol was more significant than 0.7. The simple linear regression 
      analysis results showed that when the sex is the same, the SNR of the same organ 
      at 100kVp was higher than 120kVp, except for the lung. In multiple regression 
      analysis, the result indicated that the determination coefficients of the SNR and 
      SSDEz of the four groups were 0.934, 0.971, 0.905, and 0.709, respectively. 
      CONCLUSION: In chest CT examinations with TCM, the correlation between the SNR of 
      each organ in slice images and SSDEz was better than that of CTDIvolz. And when 
      the SSDEz was the same, the SNR at 100 kVp was better than that at 120 kVp.
CI  - Copyright(c) Bentham Science Publishers; For any queries, please email at 
      epub@benthamscience.net.
FAU - Qin, Tian
AU  - Qin T
AUID- ORCID: 0000-0003-0112-1982
AD  - School of Medical Imaging, Bengbu Medical College, Bengbu, China.
FAU - Wang, Jing
AU  - Wang J
AUID- ORCID: 0009-0001-7554-1210
AD  - School of Medical Imaging, Bengbu Medical College, Bengbu, China.
FAU - Wang, Mengting
AU  - Wang M
AUID- ORCID: 0009-0002-4027-0243
AD  - School of Medical Imaging, Bengbu Medical College, Bengbu, China.
FAU - Gu, Ye
AU  - Gu Y
AUID- ORCID: 0009-0000-3861-3302
AD  - School of Medical Imaging, Bengbu Medical College, Bengbu, China.
FAU - Xie, Zongyu
AU  - Xie Z
AUID- ORCID: 0000-0002-7059-5260
AD  - The First Affiliated Hospital of Bengbu Medical College, No. 287 Changhuai Road, 
      Bengbu, Anhui 233004, China.
FAU - Liang, Baohui
AU  - Liang B
AUID- ORCID: 0000-0003-4901-5994
AD  - School of Medical Imaging, Bengbu Medical College, Bengbu, China.
LA  - eng
PT  - Journal Article
DEP - 20240221
PL  - United Arab Emirates
TA  - Curr Med Imaging
JT  - Current medical imaging
JID - 101762461
SB  - IM
OTO - NOTNLM
OT  - Automatic tube current modulation
OT  - Chest computed tomography (CT)
OT  - ROI.
OT  - Signal-tonoise ratio
OT  - Size-specific dose estimate
OT  - Volume CT dose index
EDAT- 2024/03/13 06:46
MHDA- 2024/03/13 06:46
CRDT- 2024/03/13 05:33
PHST- 2023/08/02 00:00 [received]
PHST- 2023/10/02 00:00 [revised]
PHST- 2023/10/16 00:00 [accepted]
PHST- 2024/03/13 06:46 [medline]
PHST- 2024/03/13 06:46 [pubmed]
PHST- 2024/03/13 05:33 [entrez]
AID - CMIR-EPUB-138640 [pii]
AID - 10.2174/0115734056267251231121064259 [doi]
PST - aheadofprint
SO  - Curr Med Imaging. 2024 Feb 21. doi: 10.2174/0115734056267251231121064259.