Good MM, Solomon ER. Pelvic floor disorders. Obstet Gynecol Clin North Am. 2019;46(3):527–40.

Article  PubMed  Google Scholar 

Verbeek M, Hayward L. Pelvic floor dysfunction and its effect on quality of sexual life. Sex Med Rev. 2019;7(4):559–64.

Article  PubMed  Google Scholar 

Haylen BT, et al. An International Urogynecological Association (IUGA)/International Continence Society (ICS) joint report on the terminology for female pelvic floor dysfunction. Neurourol Urodyn. 2010;29(1):4–20.

Article  PubMed  Google Scholar 

Spence-Jones C, et al. Bowel dysfunction: a pathogenic factor in uterovaginal prolapse and urinary stress incontinence. Br J Obstet Gynaecol. 1994;101(2):147–52.

Article  CAS  PubMed  Google Scholar 

Swift S, et al. Pelvic Organ Support Study (POSST): the distribution, clinical definition, and epidemiologic condition of pelvic organ support defects. Am J Obstet Gynecol. 2005;192(3):795–806.

Article  PubMed  Google Scholar 

Persu C, et al. Pelvic Organ Prolapse Quantification System (POP-Q) - a new era in pelvic prolapse staging. J Med Life. 2011;4(1):75–81.

CAS  PubMed  PubMed Central  Google Scholar 

Barber MD. Symptoms and outcome measures of pelvic organ prolapse. Clin Obstet Gynecol. 2005;48(3):648–61.

Article  PubMed  Google Scholar 

Lau T, et al. Low back pain does not improve with surgical treatment of pelvic organ prolapse. Int Urogynecol J. 2013;24(1):147–53.

Article  PubMed  Google Scholar 

Albanesi G, et al. Computed-tomography image segmentation and 3D-reconstruction of the female pelvis for the preoperative planning of sacrocolpopexy: preliminary data. Int Urogynecol J. 2019;30(5):725–31.

Article  PubMed  Google Scholar 

Zilberlicht A, et al. Characterization of the median sacral artery course at the sacral promontory using contrast-enhanced computed tomography. Int Urogynecol J. 2017;28(1):101–4.

Article  PubMed  Google Scholar 

Palmer SL, et al. Dynamic fluoroscopic defecography: updates on rationale, technique, and interpretation from the Society of Abdominal Radiology Pelvic Floor Disease Focus Panel. Abdom Radiol (NY). 2021;46(4):1312–22.

Article  PubMed  Google Scholar 

Flusberg M, et al. Multimodality imaging of pelvic floor anatomy. Abdom Radiol (NY). 2021;46(4):1302–11.

Article  PubMed  Google Scholar 

Speed JM, et al. Trends in the diagnosis and management of combined rectal and vaginal pelvic organ prolapse. Urology. 2021;150:188–93.

Article  PubMed  Google Scholar 

Vellucci F, et al. Pelvic floor evaluation with transperineal ultrasound: a new approach. Minerva Ginecol. 2018;70(1):58–68.

PubMed  Google Scholar 

Dietz HP. Ultrasound in the assessment of pelvic organ prolapse. Best Pract Res Clin Obstet Gynaecol. 2019;54:12–30. References article explaining different ultrasound approaches (US) to evaluated pelvic organ prolapse (POP). Citation provided for readers for further reference, if interested in detailed descriptions of the US approaches.

Article  PubMed  Google Scholar 

Pedersen L, Glavind-Kristensen M, Bor P. Clinical relevance of routine transvaginal ultrasound in women referred with pelvic organ prolapse. BMC Womens Health. 2021;21(1):26.

Article  PubMed  PubMed Central  Google Scholar 

Chamie LP, et al. Translabial US and dynamic MR imaging of the pelvic floor: normal anatomy and dysfunction. Radiographics. 2018;38(1):287–308.

Article  PubMed  Google Scholar 

Gao Y, et al. Diagnostic value of pelvic floor ultrasonography for diagnosis of pelvic organ prolapse: a systematic review. Int Urogynecol J. 2020;31(1):15–33. Citation provided as background information for correlation of POP-Q with US findings.

Article  PubMed  Google Scholar 

Khatri G, de Leon AD, Lockhart ME. MR imaging of the pelvic floor. Magn Reson Imaging Clin N Am. 2017;25(3):457–80.

Article  PubMed  Google Scholar 

Stothers L, et al. Standing open magnetic resonance imaging improves detection and staging of pelvic organ prolapse. Can Urol Assoc J. 2021;16:E20.

Article  PubMed Central  Google Scholar 

Abdulaziz M, et al. Relevance of open magnetic resonance imaging position (sitting and standing) to quantify pelvic organ prolapse in women. Can Urol Assoc J. 2018;12(11):E453–60.

Article  PubMed  PubMed Central  Google Scholar 

Grob ATM, et al. Underestimation of pelvic organ prolapse in the supine straining position, based on magnetic resonance imaging findings. Int Urogynecol J. 2019;30(11):1939–44.

Article  PubMed  PubMed Central  Google Scholar 

El Sayed RF. Magnetic resonance imaging of the female pelvic floor: anatomy overview, indications, and imaging protocols. Radiol Clin North Am. 2020;58(2):291–303.

Article  PubMed  Google Scholar 

Memon B, et al. Dynamic magnetic resonance imaging: an aid to preoperative-planning of pelvic organ prolapse. J Ayub Med Coll Abbottabad. 2021;33(3):382–5.

PubMed  Google Scholar 

Rechi-Sierra K, et al. Magnetic resonance imaging to evaluate anterior pelvic prolapse: H line is the key. Neurourol Urodyn. 2021;40(4):1042–7.

Article  PubMed  Google Scholar 

Kobi M, et al. Practical guide to dynamic pelvic floor MRI. J Magn Reson Imaging. 2018;47(5):1155–70.

Article  PubMed  Google Scholar 

Swamy N, et al. Pelvic floor imaging with MR defecography: correlation with gynecologic pelvic organ prolapse quantification. Abdom Radiol (NY). 2021;46(4):1381–9.

Article  PubMed  Google Scholar 

Mahoney C, et al. MR scan evaluation of pelvic organ prolapse mesh complications and agreement with intra-operative findings. Int Urogynecol J. 2020;31(8):1559–66.

Article  PubMed  Google Scholar 

van IJsselmuiden IMN, et al. Dynamic magnetic resonance imaging to quantify pelvic organ mobility after treatment for uterine descent: differences between surgical procedures. Int Urogynecol J. 2020;31(10):2119–27.

Article  PubMed  Google Scholar 

Moalli PA, et al. Methods for the defining mechanisms of anterior vaginal wall descent (DEMAND) study. Int Urogynecol J. 2021;32(4):809–18.

Article  PubMed  Google Scholar 

Wyman AM, et al. Cost-effectiveness of a preoperative pelvic MRI in pelvic organ prolapse surgery. Int Urogynecol J. 2020;31(7):1443–9.

Article  PubMed  Google Scholar 

Yoon I, Gupta N. Pelvic prolapse imaging, in StatPearls. Treasure Island (FL); 2022.

Google Scholar 

Wang X, et al. Multi-label classification of pelvic organ prolapse using stress magnetic resonance imaging with deep learning. Int Urogynecol J. 2022;33(10):2869–77. Citation provided to reference new studies regarding new development so of machine learning for POP evaluation.

Article  PubMed  Google Scholar 

Feng F, et al. Feasibility of a deep learning-based method for automated localization of pelvic floor landmarks using stress MR images. Int Urogynecol J. 2021;32(11):3069–75.

Article  PubMed  PubMed Central  Google Scholar