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基于 ADNEX 模型的 MRI 图像卵巢癌诊断

ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.

机构信息

Department of Radiology, Kunming Yan'an Hospital, Kunming 650051, China.

Chengdu Women's and Children's Central Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610031, China.

出版信息

Contrast Media Mol Imaging. 2021 Aug 18;2021:2146578. doi: 10.1155/2021/2146578. eCollection 2021.


DOI:10.1155/2021/2146578
PMID:34497480
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8387196/
Abstract

This exploration aims to investigate the important role of magnetic resonance imaging (MRI) in the diagnosis of ovarian cancer under the ADNEX. From March 2017 to December 2019, 84 patients with ovarian cancer confirmed by pathological operation were selected as the research objects. The consistency of ADNEX, MRI, and ADNEXMRI in the diagnosis and staging of ovarian cancer was calculated separately. SPSS 26.0 statistical software was used to compare the accuracy, sensitivity, specificity, and diagnostic value of the two diagnostic methods. The results show that the accuracy and sensitivity of ADNEX are 78.6% and 93.2%, respectively. The accuracy and sensitivity of MRI are 81.2% and 89.4%, respectively. There is no significant difference between the two methods ( < 0.05). The overall consistency rates of ADNEXMRI, MRI diagnosis, and ADNEX for ovarian cancer staging are 94.2%, 74%, and 65.4%, respectively. There was a significant difference ( < 0.05). ADNEXMRI and MRI diagnosis were compared with each stage of ADNEX. There is a significant difference between the second and fourth stages ( < 0.05), and there is also a significant difference in the fourth stage ( < 0.017). It is concluded that MRI diagnosis of ovarian cancer based on ADNEX is superior to ADNEX and MRI examination alone, which provides a certain reference value for clinical staging of ovarian cancer.

摘要

本研究旨在探讨 ADNEX 下磁共振成像(MRI)在卵巢癌诊断中的重要作用。2017 年 3 月至 2019 年 12 月,选取经病理手术证实的卵巢癌患者 84 例作为研究对象,分别计算 ADNEX、MRI、ADNEXMRI 在卵巢癌诊断和分期中的一致性。采用 SPSS 26.0 统计软件比较两种诊断方法的准确性、敏感度、特异度和诊断价值。结果显示,ADNEX 的准确率和敏感度分别为 78.6%和 93.2%,MRI 的准确率和敏感度分别为 81.2%和 89.4%,两种方法比较差异无统计学意义(>0.05)。ADNEXMRI、MRI 诊断与 ADNEX 对卵巢癌分期的总体一致性率分别为 94.2%、74%和 65.4%,差异有统计学意义(<0.05)。ADNEXMRI 与 MRI 诊断与 ADNEX 各分期比较,二、四期比较差异有统计学意义(<0.05),四期与其他各期比较差异均有统计学意义(<0.017)。结论:基于 ADNEX 的 MRI 诊断卵巢癌优于 ADNEX 与 MRI 单独检查,为卵巢癌的临床分期提供了一定的参考价值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c5112cbde4af/CMMI2021-2146578.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/efc9c93a7e7b/CMMI2021-2146578.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c60b6c74cec6/CMMI2021-2146578.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/eab2b1d27929/CMMI2021-2146578.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/8f9ccff7859e/CMMI2021-2146578.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/9b14ca40dfc6/CMMI2021-2146578.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/20106c7cc6d8/CMMI2021-2146578.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c5112cbde4af/CMMI2021-2146578.007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/efc9c93a7e7b/CMMI2021-2146578.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c60b6c74cec6/CMMI2021-2146578.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/eab2b1d27929/CMMI2021-2146578.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/8f9ccff7859e/CMMI2021-2146578.004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/9b14ca40dfc6/CMMI2021-2146578.005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/20106c7cc6d8/CMMI2021-2146578.006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a326/8387196/c5112cbde4af/CMMI2021-2146578.007.jpg

相似文献

[1]
ADNEX Model-Based Diagnosis of Ovarian Cancer Using MRI Images.

Contrast Media Mol Imaging. 2021

[2]
Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China.

Ultrasound Obstet Gynecol. 2019-11-11

[3]
External validation of the MR imaging scoring system for the management of adnexal masses.

Eur J Obstet Gynecol Reprod Biol. 2016-10

[4]
Diagnostic Accuracies of the Ultrasound and Magnetic Resonance Imaging ADNEX Scoring Systems For Ovarian Adnexal Mass: Systematic Review and Meta-Analysis.

Acad Radiol. 2022-6

[5]
Estimating risk of malignancy in adnexal masses: external validation of the ADNEX model and comparison with other frequently used ultrasound methods.

Ultrasound Obstet Gynecol. 2017-6

[6]
Subjective ultrasound assessment, the ADNEX model and ultrasound-guided tru-cut biopsy to differentiate disseminated primary ovarian cancer from metastatic non-ovarian cancer.

Ultrasound Obstet Gynecol. 2016-1

[7]
Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors.

Int J Gen Med. 2021-9-16

[8]
Reliability of IOTA score and ADNEX model in the screening of ovarian malignancy in postmenopausal women.

J Gynecol Obstet Hum Reprod. 2019-2

[9]
Performance of the IOTA ADNEX model combined with HE4 for identifying early-stage ovarian cancer.

Front Oncol. 2022-9-16

[10]
Performance of the IOTA ADNEX model in preoperative discrimination of adnexal masses in a gynecological oncology center.

Ultrasound Obstet Gynecol. 2017-6

引用本文的文献

[1]
ADNEX risk prediction model for diagnosis of ovarian cancer: systematic review and meta-analysis of external validation studies.

BMJ Med. 2024-2-17

[2]
Manifestations of Ovarian Cancer in Relation to Other Pelvic Diseases by MRI.

Cancers (Basel). 2023-3-31

本文引用的文献

[1]
Magnetic resonance imaging radiomics in categorizing ovarian masses and predicting clinical outcome: a preliminary study.

Eur Radiol. 2019-4-8

[2]
Utilization of breast cancer screening with magnetic resonance imaging in community practice.

J Gen Intern Med. 2017-12-6

[3]
Systematic Review on the Accuracy of Positron Emission Tomography/Computed Tomography and Positron Emission Tomography/Magnetic Resonance Imaging in the Management of Ovarian Cancer: Is Functional Information Really Needed?

World J Nucl Med. 2017

[4]
Synthesis of Lipophilic Core-Shell FeO@SiO@Au Nanoparticles and Polymeric Entrapment into Nanomicelles: A Novel Nanosystem for in Vivo Active Targeting and Magnetic Resonance-Photoacoustic Dual Imaging.

Bioconjug Chem. 2017-5-17

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Polyvalent Folate-Dendrimer-Coated Iron Oxide Theranostic Nanoparticles for Simultaneous Magnetic Resonance Imaging and Precise Cancer Cell Targeting.

Biomacromolecules. 2017-4-10

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Diagnostic performance of computed tomography and magnetic resonance imaging for detecting peritoneal metastases: systematic review and meta-analysis.

Radiol Med. 2017-1

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Gynecol Obstet Fertil. 2016-10

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In vivo Magnetic Resonance Metabolic and Morphofunctional Fingerprints in Experimental Models of Human Ovarian Cancer.

Front Oncol. 2016-6-28

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A prospective study evaluating diffusion weighted magnetic resonance imaging (DW-MRI) in the detection of peritoneal carcinomatosis in suspected gynecologic malignancies.

Gynecol Oncol. 2016-7

[10]
Nanoscale Metal-Organic Particles with Rapid Clearance for Magnetic Resonance Imaging-Guided Photothermal Therapy.

ACS Nano. 2016-2-23

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