Knowledge attitudes and practices of healthcare professionals regarding magnetic resonance imaging for ovarian cancer diagnosis

Abstract This study aimed to evaluate healthcare professionals’ knowledge, attitudes, and practices (KAP) concerning the application of magnetic resonance imaging (MRI) in the diagnostic assessment of ovarian cancer. A cross-sectional survey was conducted at Tengzhou Central People’s Hospital between September 17 and October 17, 2025. A total of 838 questionnaires were collected, of which 656 were considered valid, yielding a questionnaire validity rate of 78.28%. The participant pool was predominantly female (73.9%), with a mean age of 39.09 ± 8.05 years. Most respondents held a bachelor’s degree (59.5%), worked as physicians (57.6%), and were employed in public tertiary hospitals (74.2%). The knowledge, attitude, and practice scores were 5.50 ± 1.28 (possible range: 0–9), 33.14 ± 4.36 (possible range: 8–40), and 17.31 ± 6.43 (possible range: 5–30), respectively. Structural equation modeling (SEM) with a weighted least squares mean- and variance-adjusted (WLSMV) estimator showed that knowledge had direct effects on attitude (β = 0.587, P < 0.001) and practice (β = 0.263, P = 0.001). Meanwhile, attitude had a direct impact on practice (β = 0.222, P < 0.001). Furthermore, knowledge indirectly affected practice through attitude (β = 0.130, P = 0.001). Gaps persist between favorable attitudes and insufficient knowledge and practice in MRI for ovarian cancer diagnosis, necessitating targeted education and training.

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Publication Details

Journal
Scientific Reports
Published
2026-10-09
DOI
https://doi.org/10.1038/s41598-026-74599-w
Primary Topic
Ovarian cancer diagnosis and treatment
Type
article
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article

Knowledge attitudes and practices of healthcare professionals regarding magnetic resonance imaging for ovarian cancer diagnosis

Sun Sheng, Baojing Li, Jingyi Liu, Xiumei Ma et al.
Scientific Reports
Ovarian cancer diagnosis and treatment
article

Knowledge attitudes and practices of healthcare professionals regarding magnetic resonance imaging for ovarian cancer diagnosis

Sun Sheng, Baojing Li, Jingyi Liu, Xiumei Ma, Dongmei Dong
article en

Abstract

Abstract This study aimed to evaluate healthcare professionals’ knowledge, attitudes, and practices (KAP) concerning the application of magnetic resonance imaging (MRI) in the diagnostic assessment of ovarian cancer. A cross-sectional survey was conducted at Tengzhou Central People’s Hospital between September 17 and October 17, 2025. A total of 838 questionnaires were collected, of which 656 were considered valid, yielding a questionnaire validity rate of 78.28%. The participant pool was predominantly female (73.9%), with a mean age of 39.09 ± 8.05 years. Most respondents held a bachelor’s degree (59.5%), worked as physicians (57.6%), and were employed in public tertiary hospitals (74.2%). The knowledge, attitude, and practice scores were 5.50 ± 1.28 (possible range: 0–9), 33.14 ± 4.36 (possible range: 8–40), and 17.31 ± 6.43 (possible range: 5–30), respectively. Structural equation modeling (SEM) with a weighted least squares mean- and variance-adjusted (WLSMV) estimator showed that knowledge had direct effects on attitude (β = 0.587, P < 0.001) and practice (β = 0.263, P = 0.001). Meanwhile, attitude had a direct impact on practice (β = 0.222, P < 0.001). Furthermore, knowledge indirectly affected practice through attitude (β = 0.130, P = 0.001). Gaps persist between favorable attitudes and insufficient knowledge and practice in MRI for ovarian cancer diagnosis, necessitating targeted education and training.

Scientific Reports
Zoucheng People's Hospital (CN), Tengzhou Central People's Hospital (CN)
Openalex Percentile: Top 10%
Ovarian cancer diagnosis and treatment
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