Cargando…
Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study
We aim to assess the additional value of diffusion-weighted imaging (DWI) and magnetic resonance spectroscopy (MRS) for the risk stratification of sonographically indeterminate ovarian neoplasms. A total of 21 patients with diagnosed adnexal masses between 2014 and 2017 were divided into malignant (...
Autores principales: | , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534853/ https://www.ncbi.nlm.nih.gov/pubmed/34679545 http://dx.doi.org/10.3390/diagnostics11101847 |
_version_ | 1784587643563016192 |
---|---|
author | Lin, Yenpo Hsieh, Ching-Yi Huang, Yen-Ling Chen, Kueian Huang, Yu-Ting Wu, Ren-Chin Huang, Huei-Jean Chou, Hung-Hsueh Chao, Angel Lai, Chyong-Huey Lin, Gigin |
author_facet | Lin, Yenpo Hsieh, Ching-Yi Huang, Yen-Ling Chen, Kueian Huang, Yu-Ting Wu, Ren-Chin Huang, Huei-Jean Chou, Hung-Hsueh Chao, Angel Lai, Chyong-Huey Lin, Gigin |
author_sort | Lin, Yenpo |
collection | PubMed |
description | We aim to assess the additional value of diffusion-weighted imaging (DWI) and magnetic resonance spectroscopy (MRS) for the risk stratification of sonographically indeterminate ovarian neoplasms. A total of 21 patients with diagnosed adnexal masses between 2014 and 2017 were divided into malignant (four serous cystadenocarcinomas, four endometrioid carcinomas, three clear cell carcinomas, and one carcinosarcoma) and benign (four cystadenomas, two teratomas, one fibroma, one endometrioma, and one corpus luteal cyst) groups. An apparent diffusion coefficient (ADC) value of 1.27 × 10(−3) mm(2)/s was considered as the optimal threshold in distinguishing malignant from benign ovarian tumors (sensitivity and specificity: 100% and 77.8%, respectively). Choline peaks were detected in six of seven O-RADS (Ovarian-Adnexal Imaging-Reporting Data System) 4 lesions and corrected all of the DWI false-negative clear cell carcinoma. Based on the presence of the choline peaks, the diagnostic performance of MRS showed a sensitivity of 77.8%, a specificity of 100%, and an accuracy of 85.7%, respectively. In conclusion, MRS could potentially play a complementary role for DWI in tumor characterization, particularly for O-RADS 4 tumors or clear cell carcinomas. |
format | Online Article Text |
id | pubmed-8534853 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-85348532021-10-23 Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study Lin, Yenpo Hsieh, Ching-Yi Huang, Yen-Ling Chen, Kueian Huang, Yu-Ting Wu, Ren-Chin Huang, Huei-Jean Chou, Hung-Hsueh Chao, Angel Lai, Chyong-Huey Lin, Gigin Diagnostics (Basel) Article We aim to assess the additional value of diffusion-weighted imaging (DWI) and magnetic resonance spectroscopy (MRS) for the risk stratification of sonographically indeterminate ovarian neoplasms. A total of 21 patients with diagnosed adnexal masses between 2014 and 2017 were divided into malignant (four serous cystadenocarcinomas, four endometrioid carcinomas, three clear cell carcinomas, and one carcinosarcoma) and benign (four cystadenomas, two teratomas, one fibroma, one endometrioma, and one corpus luteal cyst) groups. An apparent diffusion coefficient (ADC) value of 1.27 × 10(−3) mm(2)/s was considered as the optimal threshold in distinguishing malignant from benign ovarian tumors (sensitivity and specificity: 100% and 77.8%, respectively). Choline peaks were detected in six of seven O-RADS (Ovarian-Adnexal Imaging-Reporting Data System) 4 lesions and corrected all of the DWI false-negative clear cell carcinoma. Based on the presence of the choline peaks, the diagnostic performance of MRS showed a sensitivity of 77.8%, a specificity of 100%, and an accuracy of 85.7%, respectively. In conclusion, MRS could potentially play a complementary role for DWI in tumor characterization, particularly for O-RADS 4 tumors or clear cell carcinomas. MDPI 2021-10-06 /pmc/articles/PMC8534853/ /pubmed/34679545 http://dx.doi.org/10.3390/diagnostics11101847 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lin, Yenpo Hsieh, Ching-Yi Huang, Yen-Ling Chen, Kueian Huang, Yu-Ting Wu, Ren-Chin Huang, Huei-Jean Chou, Hung-Hsueh Chao, Angel Lai, Chyong-Huey Lin, Gigin Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study |
title | Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study |
title_full | Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study |
title_fullStr | Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study |
title_full_unstemmed | Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study |
title_short | Magnetic Resonance Spectroscopy for Risk Stratification of Sonographically Indeterminate Ovarian Neoplasms: Preliminary Study |
title_sort | magnetic resonance spectroscopy for risk stratification of sonographically indeterminate ovarian neoplasms: preliminary study |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8534853/ https://www.ncbi.nlm.nih.gov/pubmed/34679545 http://dx.doi.org/10.3390/diagnostics11101847 |
work_keys_str_mv | AT linyenpo magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT hsiehchingyi magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT huangyenling magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT chenkueian magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT huangyuting magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT wurenchin magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT huanghueijean magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT chouhunghsueh magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT chaoangel magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT laichyonghuey magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy AT lingigin magneticresonancespectroscopyforriskstratificationofsonographicallyindeterminateovarianneoplasmspreliminarystudy |