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
AMA Style
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 Style
Pavlik, 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 Style
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.
(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