Evidence map›Paper›PMID 40765087›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

Assessment of Sonographic Ovarian Volume as an Potential Predictor of Polycystic Ovarian Syndrome (PCOS): A Hospital-Based Cross-Sectional Study

Babar Ali, Ibrahim Hadadi, Mohamed Adam, Wael Ali Faqihi, Mohammad Sayed, Sultan A Alotaibi, Awadia Gareeballah, Andrew England

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Article in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Babar AliUniversity Institute of Radiological Sciences and Medical Imaging Technology, Faculty of Allied Health Sciences, The University of Lahore, Lahore, Pakistan.
Ibrahim HadadiDepartment of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.ORCID 0000-0002-2517-7465
Mohamed AdamDepartment of Radiological Sciences, College of Applied Medical Sciences, King Khalid University, Abha, Saudi Arabia.
Wael Ali FaqihiDepartment of Radiological Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia.
Mohammad SayedDepartment of Radiological Sciences, College of Applied Medical Sciences, Najran University, Najran, Saudi Arabia.
Sultan A AlotaibiDepartment of Radiological Sciences and Medical Imaging, College of Applied Medical Sciences, Majmaah University, Majmaah, Saudi Arabia.
Awadia GareeballahDepartment of Diagnostic Radiology Technology, College of Applied Medical Sciences, Taibah University, Al-Madinah Al-Munawwarrah, Saudi Arabia.
Andrew EnglandThe Discipline of Medical Imaging and Radiation Therapy, School of Medicine, University College Cork, Cork, Ireland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionPolycystic ovarian syndrome (PCOS) is a prevalent endocrine and metabolic disorder commonly associated with obesity and reproductive morbidities. The relationship between ovarian volume and BMI as well as ovarian morphology was therefore examined in this study to assess whether sonographic ovarian volume can serve as a supportive parameter in predicting PCOS in clinical practice.

methodsA hospital-based cross-sectional study of 100 women aged 20–40 years was conducted at the University of Lahore Teaching Hospital from December 2023 to September 2024. Participants were stratified according to normal weight (BMI < 25 kg/m2) and elevated BMI (BMI ≥ 25 kg/m2) groups with healthy and PCOS as subgroups within each group.

resultsThe left ovarian volume in PCOS patients was significantly larger than that in women without PCOS (mean 13.5 mL (SD 3.6) vs 10.4 mL (SD 1.9), P < 0.05). Likewise, the mean follicle size in the left ovary was also significantly larger in women with PCOS than in normal controls, 6.3 mm (SD 1.7) and 5.6 mm (SD 1.1), respectively (P < 0.05). PCOS showed a significant association with amenorrhea (85%) and acne (66%); however, 59% of participants showed hirsutism which was not significant. DISCUSSION: The observed asymmetry in ovarian volume and the influence of BMI suggest underlying physiological variability. However, the absence of hormonal and metabolic data limits the interpretation, warranting cautious application of these findings.

conclusionOvarian volume alone is not a reliable diagnostic marker for PCOS. While the left ovary showed significant differences, the inconsistent findings support the need for a combined clinical, biochemical, and sonographic approach.

Indexed as

OvaryPolycystic Ovary SyndromeAdultBody Mass IndexCross-Sectional StudiesFemaleHumansOrgan SizePredictive Value of TestsUltrasonographyYoung Adultbody mass index.infertilityPolycystic ovarian syndrome (PCOS)polycystic ovary disease (PCOD)

Identifiers

PMID40765087
PMCPMC13563428

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.