This is a preprint, a preliminary version of a manuscript that has not completed peer review at a journal. Research Square does not conduct peer review prior to posting preprints. The posting of a preprint on this server should not be interpreted as an endorsement of its validity or suitability for dissemination as established information or for guiding clinical practice.
Research article
Zhijiang Han
Corresponding Author
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: To evaluate the reliability and diagnostic efficacy of the ultrasound grayscale ratio (UGSR) for differentiating papillary thyroid microcarcinomas (PTMC) from micronodular goiters (diameter ≤ 1.0cm).
Methods: The ultrasound data of 241 pathologically-confirmed cases of patients with 265 PTMC and 141 patients with 168 micronodular goiters were retrospectively reviewed. All patients underwent outpatient ultrasonic examination and preoperative ultrasonic positioning. The RADinfo radiograph reading system (Zhejiang RAD Information Technology Co., Ltd., China) was used to measure and calculated the UGSR of PTMC, micronodular goiters. Patients were divided into the outpatient examination, preoperative positioning, and mean value groups, and the receiver operating characteristic curves (ROC) were calculated to obtain the optimal UGSR threshold for distinguishing PTMC from micronodular goiters.
Results: The UGSR values of the PTMC and micronodular goiters were 0.56±0.14 and 0.80±0.19 (t=5.84, P<0.01) in the outpatient examination group, 0.55±0.14 and 0.80±0.19 (t=18.74, P<0.01) in the preoperative positioning group, and 0.56±0.12 and 0.80±0.18 (t=16.49, P<0.01) in the mean value group. The areas under the ROC curves in the outpatient examination, preoperative positioning, and mean value groups were 0.860, 0.856, and 0.875, respectively. When the cut-off UGSR values for the outpatient examination, preoperative positioning, and mean value groups were 0.649, 0.646, and 0.657, the sensitivity and specificity for predicting PTMC were 78.9% and 86.9%, 79.2% and 83.9%, 82.6%, and 85.7%, respectively. A reliable UGSR value was obtained between the outpatient examination and preoperative positioning groups (ICC=0.79, P=0.68).
Conclusion: The UGSR is an accurate and feasible tool for differentiating PTMC from micronodular goiters with better diagnostic efficacy.
Keywords
Ultrasound Grayscale Ratio, Papillary Thyroid Microcarcinoma, Micronodular Goiters
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Loading...
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 27 Jan, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Medicine & Medical Imaging
Learn more about our company.
This is a preprint. It has not completed peer review.
Research article
Zhijiang Han
Corresponding Author
Badges
Prescreen
This manuscript passed our Prescreen assessment
Complete author information
Appropriate declaration statements
Potential risks to human health
Prescreen
History
CURRENT STATUS: Posted
Version 1
Posted 27 Jan, 2020
No community comments so far
Metrics
Comments: 0
PDF Downloads: ...
HTML Views: ...
Subject Areas
Nuclear Medicine & Medical Imaging
License:
This work is licensed under a CC BY 4.0 License. Read Full License
Background: To evaluate the reliability and diagnostic efficacy of the ultrasound grayscale ratio (UGSR) for differentiating papillary thyroid microcarcinomas (PTMC) from micronodular goiters (diameter ≤ 1.0cm).
Methods: The ultrasound data of 241 pathologically-confirmed cases of patients with 265 PTMC and 141 patients with 168 micronodular goiters were retrospectively reviewed. All patients underwent outpatient ultrasonic examination and preoperative ultrasonic positioning. The RADinfo radiograph reading system (Zhejiang RAD Information Technology Co., Ltd., China) was used to measure and calculated the UGSR of PTMC, micronodular goiters. Patients were divided into the outpatient examination, preoperative positioning, and mean value groups, and the receiver operating characteristic curves (ROC) were calculated to obtain the optimal UGSR threshold for distinguishing PTMC from micronodular goiters.
Results: The UGSR values of the PTMC and micronodular goiters were 0.56±0.14 and 0.80±0.19 (t=5.84, P<0.01) in the outpatient examination group, 0.55±0.14 and 0.80±0.19 (t=18.74, P<0.01) in the preoperative positioning group, and 0.56±0.12 and 0.80±0.18 (t=16.49, P<0.01) in the mean value group. The areas under the ROC curves in the outpatient examination, preoperative positioning, and mean value groups were 0.860, 0.856, and 0.875, respectively. When the cut-off UGSR values for the outpatient examination, preoperative positioning, and mean value groups were 0.649, 0.646, and 0.657, the sensitivity and specificity for predicting PTMC were 78.9% and 86.9%, 79.2% and 83.9%, 82.6%, and 85.7%, respectively. A reliable UGSR value was obtained between the outpatient examination and preoperative positioning groups (ICC=0.79, P=0.68).
Conclusion: The UGSR is an accurate and feasible tool for differentiating PTMC from micronodular goiters with better diagnostic efficacy.
Figure 1
Figure 2
Figure 3
Figure 4
Figure 5
Loading...