CIA Pelvimetry Score as a Predictor of Mode of Delivery [ID 1266]

INTRODUCTION: Classic clinical pelvimetry to assess the adequacy of the pelvis for vaginal birth is an important skill that has been lost to many obstetric care providers. This study evaluates a novel system for simplified clinical pelvimetry as a predictor of vaginal delivery. METHODS: In this prospective cohort study, providers conducted the coccyx, ischial spines, and pubic arch (CIA) pelvimetry scoring during routine cervical examinations on study participants. Patient-informed consent was obtained. The CIA score was assessed for each participant with 1 being distant, 3 being prominent, and 2 being not 1 or 3. A cumulative score ranging from 3 to 9 was determined for each participant. Participants included pregnant people undergoing induction of labor at term. The CIA scores were compared with mode of delivery: spontaneous vaginal, vacuum-assisted, forceps-assisted, or cesarean. RESULTS: One hundred thirty-eight participants with CIA scores and known mode of delivery were included in the study: CIA score of 3, 32/37 (86.5%) vaginal delivery; CIA score of 4, 23/33 (69.7%) vaginal delivery; CIA score of 5, 18/32 (56.3%) vaginal delivery; CIA score of 6, 22/29 (75.9%) vaginal delivery; CIA score of 7, 4/6 (66.7%) vaginal delivery; CIA score of 9, 0/1 (0%) vaginal delivery. CONCLUSIONS/IMPLICATIONS: The CIA pelvimetry score is a novel means of assessing the pelvis that is easy to perform and offers acceptable interprovider reproducibility. These data suggest it may help predict vaginal delivery, but larger studies are needed.

Authors

Institutions

Publication Details

Journal
Obstetrics and Gynecology
Published
2025-05-15
DOI
https://doi.org/10.1097/aog.0000000000005918.018
Primary Topic
Fault Detection and Control Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CIA Pelvimetry Score as a Predictor of Mode of Delivery [ID 1266]

Stella Alphas, Suresh A. Sethi, R.S Sandler, James A Greenberg et al.
Obstetrics and Gynecology
Fault Detection and Control Systems
article

CIA Pelvimetry Score as a Predictor of Mode of Delivery [ID 1266]

Stella Alphas, Suresh A. Sethi, R.S Sandler, James A Greenberg, Noor A. Raheel
article en

Abstract

INTRODUCTION: Classic clinical pelvimetry to assess the adequacy of the pelvis for vaginal birth is an important skill that has been lost to many obstetric care providers. This study evaluates a novel system for simplified clinical pelvimetry as a predictor of vaginal delivery. METHODS: In this prospective cohort study, providers conducted the coccyx, ischial spines, and pubic arch (CIA) pelvimetry scoring during routine cervical examinations on study participants. Patient-informed consent was obtained. The CIA score was assessed for each participant with 1 being distant, 3 being prominent, and 2 being not 1 or 3. A cumulative score ranging from 3 to 9 was determined for each participant. Participants included pregnant people undergoing induction of labor at term. The CIA scores were compared with mode of delivery: spontaneous vaginal, vacuum-assisted, forceps-assisted, or cesarean. RESULTS: One hundred thirty-eight participants with CIA scores and known mode of delivery were included in the study: CIA score of 3, 32/37 (86.5%) vaginal delivery; CIA score of 4, 23/33 (69.7%) vaginal delivery; CIA score of 5, 18/32 (56.3%) vaginal delivery; CIA score of 6, 22/29 (75.9%) vaginal delivery; CIA score of 7, 4/6 (66.7%) vaginal delivery; CIA score of 9, 0/1 (0%) vaginal delivery. CONCLUSIONS/IMPLICATIONS: The CIA pelvimetry score is a novel means of assessing the pelvis that is easy to perform and offers acceptable interprovider reproducibility. These data suggest it may help predict vaginal delivery, but larger studies are needed.

Obstetrics and GynecologyVol. 145(6S)
Smith College (US)
Openalex Percentile: Top 89%
Fault Detection and Control Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.