Pattern Recognition or Adnexal MR Scoring System: Which Is More Accurate in Evaluating Adnexal Lesions?


Journal

Asian Pacific journal of cancer prevention : APJCP
ISSN: 2476-762X
Titre abrégé: Asian Pac J Cancer Prev
Pays: Thailand
ID NLM: 101130625

Informations de publication

Date de publication:
01 Apr 2024
Historique:
received: 05 11 2023
medline: 29 4 2024
pubmed: 29 4 2024
entrez: 29 4 2024
Statut: epublish

Résumé

This study aims to compare the accuracy of the ADNEX MR scoring system and pattern recognition system to evaluate adnexal lesions indeterminate on the US exam. In this cross-sectional retrospective study, pelvic DCE-MRI of 245 patients with 340 adnexal masses was studied based on the ADNEX MR scoring system and pattern recognition system. ADNEX MR scoring system with a sensitivity of 96.6% and specificity of 91% has an accuracy of 92.9%. The pattern recognition system's sensitivity, specificity, and accuracy are 95.8%, 93.3%, and 94.7%, respectively. PPV and NPV for the ADNEX MR scoring system were 85.1 and 98.1, respectively. PPV and NPV for the pattern recognition system were 89.7% and 97.7%, respectively. The area under the ROC curve for the ADNEX MR scoring system and pattern recognition system is 0.938 (95% CI, 0.909-0.967) and 0.950 (95% CI, 0.922-0.977). Pairwise comparison of these AUCs showed no significant difference (p = 0.052). The pattern recognition system is less sensitive than the ADNEX MR scoring system, yet more specific.

Identifiants

pubmed: 38679986
doi: 10.31557/APJCP.2024.25.4.1265
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1265-1270

Auteurs

Mehrooz Malek (M)

Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Science, Tehran, Iran.

Ashrafsadat Hosseini (A)

Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Science, Tehran, Iran.

Behnaz Moradi (B)

Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Science, Tehran, Iran.

Maryam Rahmani (M)

Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Science, Tehran, Iran.

Maryam Aghasi (M)

Department of Radiology, Advanced Diagnostic and Interventional Radiology Research Center, Tehran University of Medical Science, Tehran, Iran.

Setareh Akhavan (S)

Department of Gynecology, Oncology, Vail-e-Asr Hospital, Imam Khomeini Hospital, Tehran, Iran.

Nasrin Ahmadinejad (N)

Department of Gynecology, Oncology, Vail-e-Asr Hospital, Imam Khomeini Hospital, Tehran, Iran.

Hamed Abdolghafoorian (H)

Shahid Beheshti University of Medical Science, Tehran, Iran.

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Classifications MeSH