Daniella Wald-Spielman

Department of Obstetrics and Gynecology, Emory University, Atlanta, GA.

3 publications 2017 – 2019

What does Daniella Wald-Spielman research?

Daniella Wald-Spielman studies how menopause affects the vaginal walls and associated symptoms like painful sex and dryness. She uses a type of ultrasound called transabdominal ultrasound, which is painless and does not require any insertion, to measure the thickness of vaginal tissue. Her research has found significant differences in vaginal wall thickness between pre-menopausal and post-menopausal women, indicating that menopause can lead to thinner vaginal walls and may contribute to various symptoms experienced by women during this time.

Key findings

  • In a study of 76 women, postmenopausal women were found to have significantly thinner vaginal walls compared to premenopausal women, confirming that menopause affects vaginal tissue.
  • Transabdominal ultrasound was shown to reliably measure vaginal and mucosal thickness, offering an accurate, noninvasive method for assessing changes due to menopause.
  • The study testing associations between vaginal wall thickness and menopause-related symptoms in 44 women found no significant link, highlighting the need for larger studies on this topic.

Frequently asked questions

Does Dr. Wald-Spielman study menopause-related symptoms?
Yes, she specifically looks at how menopause affects vaginal tissue and related symptoms like pain and dryness.
What techniques does Dr. Wald-Spielman use in her research?
She uses noninvasive transabdominal ultrasound to measure vaginal wall and mucosal thickness in women.
Is Dr. Wald-Spielman's work relevant to women experiencing painful sex?
Yes, her research directly addresses conditions like dyspareunia (painful sex) that can occur due to changes in vaginal tissue after menopause.

Publications in plain English

Dyspareunia Related to GSM: Association of Total Vaginal Thickness via Transabdominal Ultrasound.

2019

The journal of sexual medicine

Balica AC, Cooper AM, McKevitt MK, Schertz K, Wald-Spielman D +2 more

Plain English
Researchers used ultrasound to measure vaginal wall thickness in postmenopausal women and asked them about painful sex and other menopausal vaginal symptoms. They found no connection between how thick the vaginal walls were and whether women experienced these symptoms. This matters because doctors were hoping ultrasound measurements could become an objective, non-invasive way to diagnose and measure vaginal atrophy—a common problem after menopause—but this study shows that thickness measurements alone don't predict which women actually have symptoms.

PubMed

Assessing the thickness of the vaginal wall and vaginal mucosa in pre-menopausal versus post-menopausal women by transabdominal ultrasound: A feasibility study.

2017

Maturitas

Balica A, Wald-Spielman D, Schertz K, Egan S, Bachmann G

Plain English
Researchers used transabdominal ultrasound to measure vaginal wall thickness in 76 women and found that postmenopausal women had significantly thinner vaginal walls than premenopausal women. The difference was clear for overall wall thickness but not for the innermost mucosal layer alone. This supports using routine pelvic ultrasound as an objective, noninvasive marker of the vaginal thinning that drives menopausal symptoms like dryness and pain.

PubMed

Transabdominal sonography to measure the total vaginal and mucosal thicknesses.

2017

Journal of clinical ultrasound : JCU

Balica A, Schertz K, Wald-Spielman D, Egan S, Bachmann G

Plain English
This study demonstrated that transabdominal ultrasound — the same type used to image the bladder from outside the body — can reliably measure vaginal wall and mucosal thickness without inserting any probe. The measurements were consistent with established benchmarks from bladder wall studies, confirming the technique works. This matters because it offers a painless, widely available way to objectively measure vaginal tissue changes caused by menopause.

PubMed

Publication data sourced from PubMed . Plain-English summaries generated by AI. Not medical advice.