Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type
Abstract
:1. Introduction
2. Materials and Methods
- (a)
- Aide-to-side movements to achieve sagittal imaging,
- (b)
- 90° rotation to obtain semi-coronal images and angulation of the probe vertically,
- (c)
- Varying the depth of probe insertion to expose different pelvic structures within the field of view.
Statistical Analyses
3. Results
4. Discussion
4.1. Clinical Implications
4.2. Research Implications
4.3. Strengths and Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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All Subjects (n = 29,877) | All Encounters (n = 202,639) | |
---|---|---|
Age (y) | 55.0, 55 (20–91) | 60.1, 60 (20–95) |
Weight (kg) | 73, 70.3 (38–204) | 72.3, 69.4 (36–205) |
Height (cm) | 163.5, 162.6 (119–198) | 163.6, 162.6 (119–198) |
BMI | 27.3, 26 (13–80) | 27, 26 (13–80) |
Pre-menopausal Peri-menopausal Post-menopausal | 5966 (20.9%) 1262 (4.4%) 21,251 (74.6%) | 28,618 (14.3%) 5820 (2.9%) 165,390 (82.8%) |
Age (yrs) | Total n | Both Ovaries Visualized | PR [95% CI] | OR [95% CI] |
---|---|---|---|---|
20–30 | 1182 | 1170 | 1 | 1 |
31–35 | 2439 | 2366 | 0.98 (0.9712–0.9889) | 0.3324 (0.1798–0.6146) |
36–40 | 5103 | 4943 | 0.9786 (0.9712–0.9860) | 0.3169 (0.1756–0.5717) |
41–45 | 8483 | 8019 | 0.955 (0.9477–0.9624) | 0.1773 (0.0996–0.3154) |
46–50 | 13,096 | 12,056 | 0.93 (0.9229–0.9372) | 0.1189 (0.0671–0.2107) |
51–55 | 33,202 | 28,463 | 0.8661 (0.8598–0.8724) | 0.0616 (0.0349–0.1089] |
56–60 | 39,278 | 30,132 | 0.775 (0.7689–0.7812) | 0.0338 (0.0191–0.0597) |
61–65 | 38,077 | 26,396 | 0.7003 (0.6942–0.7065) | 0.0232 (0.0131–0.0409) |
66–70 | 30,164 | 18,522 | 0.6203 (0.6138–0.6270) | 0.0163 (0.0092–0.0288) |
71–75 | 18,823 | 10,210 | 0.548 (0.5402–0.5559) | 0.0122 (0.0069–0.0215) |
76–80 | 9077 | 4221 | 0.4698 (0.4592–0.4806) | 0.0089 (0.0050–0.0158) |
81–85 | 3009 | 1092 | 0.3666 (0.3496–0.3845) | 0.0058 (0.0033–0.0104) |
>85 | 706 | 224 | 0.3205 (0.2876–0.3572) | 0.0048 (0.0026–0.0086) |
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Pavlik, E.J.; Brekke, E.; Gorski, J.; Baldwin-Branch, L.; Miller, R.; DeSimone, C.P.; Dietrich, C.S.; Gallion, H.S.; Ueland, F.R.; van Nagell, J.R., Jr. Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type. Diagnostics 2022, 12, 128. https://doi.org/10.3390/diagnostics12010128
Pavlik EJ, Brekke E, Gorski J, Baldwin-Branch L, Miller R, DeSimone CP, Dietrich CS, Gallion HS, Ueland FR, van Nagell JR Jr. Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type. Diagnostics. 2022; 12(1):128. https://doi.org/10.3390/diagnostics12010128
Chicago/Turabian StylePavlik, Edward J., Emily Brekke, Justin Gorski, Lauren Baldwin-Branch, Rachel Miller, Christopher P. DeSimone, Charles S. Dietrich, Holly S. Gallion, Frederick Rand Ueland, and John R. van Nagell, Jr. 2022. "Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type" Diagnostics 12, no. 1: 128. https://doi.org/10.3390/diagnostics12010128
APA StylePavlik, E. J., Brekke, E., Gorski, J., Baldwin-Branch, L., Miller, R., DeSimone, C. P., Dietrich, C. S., Gallion, H. S., Ueland, F. R., & van Nagell, J. R., Jr. (2022). Ultrasonographic Visualization of the Ovaries to Detect Ovarian Cancer According to Age, Menopausal Status and Body Type. Diagnostics, 12(1), 128. https://doi.org/10.3390/diagnostics12010128