PMID- 35371999
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220405
IS  - 2234-943X (Print)
IS  - 2234-943X (Electronic)
IS  - 2234-943X (Linking)
VI  - 12
DP  - 2022
TI  - Comparison of Computed and Acquired DWI in the Assessment of Rectal Cancer: Image 
      Quality and Preoperative Staging.
PG  - 788731
LID - 10.3389/fonc.2022.788731 [doi]
LID - 788731
AB  - OBJECTIVE: The aim of the study was to evaluate the computed diffusion-weighted 
      images (DWI) in image quality and diagnostic performance of rectal cancer by 
      comparing with the acquired DWI. METHODS: A total of 103 consecutive patients 
      with primary rectal cancer were enrolled in this study. All patients underwent 
      two DWI sequences, namely, conventional acquisition with b = 0 and 1,000 s/mm(2) 
      (aDWI(b1,000)) and another with b = 0 and 700 s/mm(2) on a 3.0T MR scanner 
      (MAGNETOM Prisma; Siemens Healthcare, Germany). The images (b = 0 and 700 
      s/mm(2)) were used to compute the diffusion images with b value of 1,000 s/mm(2) 
      (cDWI(b1,000)). Qualitative and quantitative analysis of both computed and 
      acquired DWI images was performed, namely, signal-to-noise ratio (SNR), 
      contrast-to-noise ratio (CNR), and signal intensity ratio (SIR), and also 
      diagnostic staging performance. Interclass correlation coefficients, weighted kappa 
      coefficient, Friedman test, Wilcoxon paired test, and McNemar or Fisher test were 
      used for repeatability and comparison assessment. RESULTS: Compared with the 
      aDWI(b1,000) images, the cDWI(b1,000) ones exhibited significant higher scores of 
      subjective image quality (all P <0.050). SNR, SIR, and CNR of the cDWI(b1,000) 
      images were superior to those of the aDWI(b1,000) ones (P <0.001). The overall 
      diagnostic accuracy of computed images was higher than that of the aDWI(b1,000) 
      images in T stage (P <0.001), with markedly better sensitivity and specificity in 
      distinguishing T1-2 tumors from the T3-4 ones (P <0.050). CONCLUSION: 
      cDWI(b1,000) images from lower b values might be a useful alternative option and 
      comparable to the acquired DWI, providing better image quality and diagnostic 
      performance in preoperative rectal cancer staging.
CI  - Copyright (c) 2022 Xia, Wang, Wu, Tan, Fu, Fu, Pan, Zhu, Yan, Shen, Ma and Cai.
FAU - Xia, Yihan
AU  - Xia Y
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Wang, Lan
AU  - Wang L
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Wu, Zhiyuan
AU  - Wu Z
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Tan, Jingwen
AU  - Tan J
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Fu, Meng
AU  - Fu M
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Fu, Caixia
AU  - Fu C
AD  - Department of MR Application Development, Siemens Shenzhen Magnetic Resonance 
      Ltd, Shenzhen, China.
FAU - Pan, Zilai
AU  - Pan Z
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Zhu, Lan
AU  - Zhu L
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Yan, Fuhua
AU  - Yan F
AD  - Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Shen, Hailin
AU  - Shen H
AD  - Department of Radiology, Suzhou Kowloon Hospital, Shanghai Jiao Tong University 
      of Medicine, Suzhou, China.
FAU - Ma, Qianchen
AU  - Ma Q
AD  - Department of Pathology, Ruijin Hospital, Shanghai Jiao Tong University of 
      Medicine, Shanghai, China.
FAU - Cai, Gang
AU  - Cai G
AD  - Department of Radiation Oncology, Ruijin Hospital, Shanghai Jiao Tong University 
      of Medicine, Shanghai, China.
LA  - eng
PT  - Journal Article
DEP - 20220318
PL  - Switzerland
TA  - Front Oncol
JT  - Frontiers in oncology
JID - 101568867
PMC - PMC8971285
OTO - NOTNLM
OT  - computed diffusion images
OT  - diagnostic performance
OT  - diffusion-weighted imaging
OT  - image quality
OT  - rectal cancer
COIS- The author (CF) is an employee of Siemens Healthcare but did not have control 
      over the data. The remaining authors declare that the research was conducted in 
      the absence of any commercial or financial relationships that could be construed 
      as a potential conflict of interest.
EDAT- 2022/04/05 06:00
MHDA- 2022/04/05 06:01
PMCR- 2022/01/01
CRDT- 2022/04/04 05:32
PHST- 2021/10/03 00:00 [received]
PHST- 2022/02/18 00:00 [accepted]
PHST- 2022/04/04 05:32 [entrez]
PHST- 2022/04/05 06:00 [pubmed]
PHST- 2022/04/05 06:01 [medline]
PHST- 2022/01/01 00:00 [pmc-release]
AID - 10.3389/fonc.2022.788731 [doi]
PST - epublish
SO  - Front Oncol. 2022 Mar 18;12:788731. doi: 10.3389/fonc.2022.788731. eCollection 
      2022.