Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors

Xiao-Shan PengDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, 150080, People’s Republic of ChinaView further author information

Yue MaDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, 150080, People’s Republic of ChinaView further author information

Ling-Ling WangDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, 150080, People’s Republic of ChinaView further author information

Hai-Xia LiDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, 150080, People’s Republic of ChinaView further author information

Xiu-Lan ZhengDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, 150080, People’s Republic of ChinaView further author information

Ying LiuDepartment of Ultrasound, Harbin Medical University Cancer Hospital, Harbin, 150080, People’s Republic of ChinaCorrespondence[email protected]
View further author information

Citations (7)

Keep up to date with the latest research on this topic with citation updates for this article.

Articles from other publishers (7)

Yanli Hu, Bo Chen, Hongmei Dong, Bo Sheng, Zhibo Xiao, Jia Li, Wei Tian & Furong Lv. (2023) Comparison of ultrasound−based ADNEX model with magnetic resonance imaging for discriminating adnexal masses: a multi-center study. Frontiers in Oncology 13.
Crossref

Neha Rashmi, Sweta Singh, Jasmina Begum & Mukund Namdev Sable. (2023) Diagnostic Performance of Ultrasound-Based International Ovarian Tumor Analysis Simple Rules and Assessment of Different NEoplasias in the adneXa Model for Predicting Malignancy in Women with Ovarian Tumors: A Prospective Cohort Study. Women's Health Reports 4:1, pages 202-210.
Crossref

Mar Pelayo, Irene Pelayo-Delgado, Javier Sancho-Sauco, Javier Sanchez-Zurdo, Leopoldo Abarca-Martinez, Virginia Corraliza-Galán, Carmen Martin-Gromaz, María Jesús Pablos-Antona, Julia Zurita-Calvo & Juan Luis Alcázar. (2023) Comparison of Ultrasound Scores in Differentiating between Benign and Malignant Adnexal Masses. Diagnostics 13:7, pages 1307.
Crossref

Artur Czekierdowski, Norbert Stachowicz, Agata Smolen, Tomasz Łoziński, Paweł Guzik & Tomasz Kluz. (2023) Performance of IOTA Simple Rules Risks, ADNEX Model, Subjective Assessment Compared to CA125 and HE4 with ROMA Algorithm in Discriminating between Benign, Borderline and Stage I Malignant Adnexal Lesions. Diagnostics 13:5, pages 885.
Crossref

Srinidhi Cherukuri, Shubhada Jajoo & Deepika Dewani. (2022) The International Ovarian Tumor Analysis-Assessment of Different Neoplasias in the Adnexa (IOTA-ADNEX) Model Assessment for Risk of Ovarian Malignancy in Adnexal Masses. Cureus.
Crossref

Suying Yang, Jing Tang, Yue Rong, Min Wang, Jun Long, Cheng Chen & Cong Wang. (2022) Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer. Frontiers in Oncology 12.
Crossref

Xiang Yue, Lili Zhong, Yashan Wang, Chenyang Zhang, Xiaofei Chen, Song Wang, Jiayi Hu, Junjun Hu, Chunpeng Wang & Xin Liu. (2022) Value of Assessment of Different Neoplasias in the Adnexa in the Differential Diagnosis of Malignant Ovarian Tumor and Benign Ovarian Tumor: A Meta-analysis. Ultrasound in Medicine & Biology 48:5, pages 730-742.
Crossref

Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors

Articles from other publishers (7)

Information for

Open access

Opportunities

Help and information

Your download is now in progress and you may close this window

Login or register to access this feature

Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors

Citations (7)

Articles from other publishers (7)

Related research

To cite this article:

Download citation

Information for

Open access

Opportunities

Help and information

Keep up to date