LIN et al 2020a - Revision history

Rimni at 09:06, 17 December 2020

2020-12-17T09:06:55Z

Rimni at 09:06, 17 December 2020

2020-12-17T09:06:11Z

Rimni at 09:05, 17 December 2020

2020-12-17T09:05:13Z

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Zehonglin at 05:39, 8 June 2020

2020-06-08T05:39:04Z

Zehonglin: /* Acknowledgements */

2020-03-19T09:36:31Z

‎Acknowledgements

Rimni at 09:47, 30 January 2020

2020-01-30T09:47:19Z

Rimni at 09:47, 30 January 2020

2020-01-30T09:47:03Z

Rimni at 09:46, 30 January 2020

2020-01-30T09:46:42Z

Rimni at 09:46, 30 January 2020

2020-01-30T09:46:29Z

Rimni at 12:22, 28 January 2020

2020-01-28T12:22:15Z

@@ Line 224: / Line 224: @@
 ===4.3 the ROC analysis results===
-The Figure 1 shows the AUC value of the quantitative research, including histogram analysis, muscle time attenuation curves analysis and clustering analysis.
+[[#img-1|Figure 1]] shows the AUC value of the quantitative research, including histogram analysis, muscle time attenuation curves analysis and clustering analysis.
 {| style="text-align: center; border: 1px solid #BBB; margin: 1em auto; width: 40%;;max-width: 40%;"
 |-

@@ Line 164: / Line 164: @@
 {| style="text-align: centermargin:auto;width: 100%;"
 |-
-| <math display="inline">{E}_{1}=\frac{{\overline{TAC}}_{1}-{\overline{TAC}}_{0}}{{\overline{TAC}}_{0}}</math>,
+| <math>{E}_{1}=\frac{{\overline{TAC}}_{1}-{\overline{TAC}}_{0}}{{\overline{TAC}}_{0}}</math>,
 |  style="text-align: right;vertical-align: top;width: 5px;text-align: right;white-space: nowrap;"|(1)
 |}
@@ Line 174: / Line 174: @@
 {| style="text-align: centermargin:auto;width: 100%;"
 |-
-| <math display="inline">{E}_{peak}=\frac{{\overline{TAC}}_{peak}-{\overline{TAC}}_{0}}{{\overline{TAC}}_{0}}</math>,
+| <math>{E}_{peak}=\frac{{\overline{TAC}}_{peak}-{\overline{TAC}}_{0}}{{\overline{TAC}}_{0}}</math>,
 |  style="text-align: right;vertical-align: top;width: 5px;text-align: right;white-space: nowrap;"|(2)
 |}

@@ Line 245: / Line 245: @@
 ==Acknowledgements==
-This research was funded by the Natural Science Foundation of China under Grant (51875113), Natural Science Foundation of the Heilongjiang Province of China under Grant (F2016003), Youth fund of Peking union medical college hospital (pumch201911061),Harbin youth reserve talent project (2017RAQXJ102).
+This research was funded by Youth fund of Peking union medical college hospital (pumch201911061),Harbin youth reserve talent project (2017RAQXJ102).
 ==Reference==

@@ Line 245: / Line 245: @@
 ==Acknowledgements==
-This research was funded by the Natural Science Foundation of China under Grant (51875113), Natural Science Foundation of the Heilongjiang Province of China under Grant (F2016003), Harbin youth reserve talent project (2017RAQXJ102).
+This research was funded by the Natural Science Foundation of China under Grant (51875113), Natural Science Foundation of the Heilongjiang Province of China under Grant (F2016003), Youth fund of Peking union medical college hospital (pumch201911061),Harbin youth reserve talent project (2017RAQXJ102).
 ==Reference==

@@ Line 229: / Line 229: @@
 The Figure 1 shows the AUC value of the quantitative research, including histogram analysis, muscle time attenuation curves analysis and clustering analysis.
-{| style="text-align: center; border: 1px solid #BBB; margin: 1em auto; width: 50%;;max-width: 50%;"
+{| style="text-align: center; border: 1px solid #BBB; margin: 1em auto; width: 40%;;max-width: 40%;"
 |-
 |style="padding:10px;"| [[Image:Review_183391438145-image3.png|242px]]

@@ Line 144: / Line 144: @@
 As can be seen from the table, the age of PAOD patients is generally on the older, and only Lin [13] did the quantified analysis of muscle ischemia.
-==4. Dynamic CTA data Analysis==
+==4. Dynamic CTA data analysis==
-===4.1 Qualitative Research===
+===4.1 Qualitative research===
 The dyn-CTA can improve the diagnostic confidence and diagnostic accuracy of PAOD. The first study evaluated the feasibility of a combined CTA protocol of the lower extremities and gave the conclusion that dyn-CTA leading to higher subjective diagnostic confidence in the assessment of significant stenosis or assessing vessel patency [8,10]. The MIP for signal phase of dyn-CTA was also used to assist diagnosis, and the increased enhancement in all three evaluated arteries can be seen with the dyn-CTA compared to standard run-off CTA [11]. But the max increased enhancement of all phases was not given, and which can provide a better image.
-===4.2 Quantitative Research===
+===4.2 Quantitative research===
-'''(1) Histogram Analysis'''
+'''(1) Histogram analysis'''
 Histogram Analyses was performed using Matlab with in-house software in the research [14]. The analysis process tries to avoid the interference of human factors. Due to the large amount of data, 5mm thick data was used for analysis, with 150 slices in total. First, background, fat, and bone are automatically removed from the source data. Second, the data signals of 10 to 20 seconds after contrast agent injection were averaged for use. And then, for each lower extremity, the distribution analysis was performed on all muscle voxels from the 10th slice to the 80th slice (10HU < signal mean <100HU). Finally, voxel-based histogram data were generated for each lower extremity, and the following parameters were calculated: mean, median, mode, skewness, kurtosis, and CV.