Article
Radiology, Nuclear Medicine & Medical Imaging
Julie Andrea Dybvik, Kristine E. Fasmer, Sigmund Ytre-Hauge, Jenny Hild Aase Husby, Oyvind O. Salvesen, Ingunn Marie Stefansson, Camilla Krakstad, Jone Trovik, Ingfrid S. Haldorsen
Summary: This study aimed to explore the diagnostic accuracy of preoperative magnetic resonance imaging (MRI)-derived tumor measurements for the prediction of histopathological deep myometrial invasion (pDMI) and prognostication in endometrial cancer (EC). The results showed that the measurement of tumor diameter, invasion depth, and tumor-free distance to serosa in MRI had good predictive value for deep myometrial invasion and prognosis. Particularly, the measurement of tumor-free distance (iTFD) yielded the highest predictive value and could serve as a promising preoperative imaging biomarker for predicting high-risk disease in EC.
INSIGHTS INTO IMAGING
(2022)
Article
Medicine, General & Internal
Marcin Liro, Marcin Sniadecki, Ewa Wycinka, Szymon Wojtylak, Michal Brzezinski, Agata Stanczak, Dariusz Wydra
Summary: The study indicates that the ultrasound-measured tumor-free distance and depth of ultrasound-measured myometrial invasion are predictors of lymph node metastasis in endometrial cancer, but they are not surrogate markers for overall and recurrence-free survivals. Negative lymph node status could be better described by ultrasound biomarkers, and it was easier to use the uTFD measurement instead of uMI as a biomarker of EC invasion.
Review
Obstetrics & Gynecology
Vasilios Pergialiotis, Eleftherios Zachariou, Dimitrios Efthymios Vlachos, Athanasios Vlachos, Kalliroi Goula, Nikolaos Thomakos, Alexandros Rodolakis, Dimitrios Haidopoulos
Summary: Myometrial invasion and its extent are directly associated with the risk of relapse and overall survival of endometrial cancer patients. Tumor free distance (TFD) from the serosal surface of the uterine wall has been investigated, and the meta-analysis shows that TFD is significantly associated with the progression free survival of endometrial cancer patients. However, its importance in specific subgroups and the disease specific survival remains unclear.
EUROPEAN JOURNAL OF OBSTETRICS & GYNECOLOGY AND REPRODUCTIVE BIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Arnaldo Stanzione, Renato Cuocolo, Renata Del Grosso, Anna Nardiello, Valeria Romeo, Antonio Travaglino, Antonio Raffone, Giuseppe Bifulco, Fulvio Zullo, Luigi Insabato, Simone Maurea, Pier Paolo Mainenti
Summary: The study evaluated the performance of an MRI radiomics-powered machine learning model for identifying deep myometrial invasion in endometrial cancer patients. By extracting features and training the model, it demonstrated the potential of improving radiologist performance in diagnosing deep myometrial invasion.
ACADEMIC RADIOLOGY
(2021)
Review
Oncology
Xiaoying Jin, Chunjuan Shen, Xiaodi Yang, Yayuan Yu, Jianzhang Wang, Xuan Che
Summary: This study conducted a meta-analysis and found that primary tumor size > 20 mm was significantly associated with depth of MI, positive LVSI, positive LNM, recurrence, and poor OS. Therefore, considering the value of tumor size is crucial in the clinicopathological staging of endometrial carcinoma, and tumor size > 20 mm should be integrated into the intraoperative algorithm for performing a full surgical staging.
FRONTIERS IN ONCOLOGY
(2022)
Article
Engineering, Biomedical
Wei Mao, Chunxia Chen, Huachao Gao, Liu Xiong, Yongping Lin
Summary: This study combines deep learning and radiologist experience to diagnose Endometrial Cancer (EC), using U-net for tumor and uterus segmentation, three MI depth assessment algorithms for image processing, and a trained CNN classifier to select the best algorithm. The fit-ellipse MI depth assessment algorithm outperforms the other two algorithms, and the CNN classifier achieves an accuracy of 93.34% in selecting the optimum algorithm based on the shapes of the uterus and tumor. The CNN classifier also shows better performance in evaluating the tumor spreading trend of early EC, which can aid specialists in making better decisions and be a part of the EC monitoring process.
BIOMEDICAL SIGNAL PROCESSING AND CONTROL
(2023)
Article
Obstetrics & Gynecology
Bjorg Jonsdottir, Janusz Marcickiewicz, Christer Borgfeldt, Maria Bjurberg, Pernilla Dahm-Kahler, Angelique Floter-Radestad, Kristina Hellman, Erik Holmberg, Preben Kjolhede, Per Rosenberg, Bengt Tholander, Elisabeth Avall-Lundqvist, Karin Stalberg, Thomas Hogberg
Summary: In Sweden, assessment of deep myometrial invasion is most commonly performed with transvaginal sonography, but the sensitivity is lower than other diagnostic methods. In clinical practice, the accuracy is moderate for transvaginal sonography and MRI.
ACTA OBSTETRICIA ET GYNECOLOGICA SCANDINAVICA
(2021)
Article
Health Care Sciences & Services
Idris Nurdillah, Iqbal Hussain Rizuana, Aziz Suraya, Sharis Osman Syazarina
Summary: This study compared the efficacy of DCE-MRI and T2WI in defining the depth of myometrial invasion in endometrial carcinoma. The results showed that DCE-MRI had higher sensitivity and accuracy compared to T2WI. However, combining T2WI and DCE-MRI improved specificity, positive predictive value, sensitivity, negative predictive value, and accuracy in detecting myometrial invasion.
JOURNAL OF PERSONALIZED MEDICINE
(2022)
Article
Oncology
Wei-Chun Chen, Le-Tien Hsu, Yu-Ting Huang, Yu-Bin Pan, Shir-Hwa Ueng, Hung-Hsueh Chou, Ting-Chang Chang
Summary: Young women with endometrial cancer (EC) can choose fertility-sparing treatment for stage 1A disease without myometrial invasion (MI), but different surgical diagnostic procedures (SDP) may affect the accuracy of magnetic resonance imaging (MRI) to assess MI.
Article
Oncology
Antonio Raffone, Antonio Travaglino, Diego Raimondo, Daniele Neola, Federica Renzulli, Angela Santoro, Luigi Insabato, Paolo Casadio, Gian Franco Zannoni, Fulvio Zullo, Antonio Mollo, Renato Seracchioli
Summary: The study suggests that deep myometrial invasion is not an independent prognostic factor for overall survival in endometrial carcinoma patients, but appears to affect the risk of recurrence independently from the TCGA groups.
GYNECOLOGIC ONCOLOGY
(2021)
Article
Biology
Xueliang Zhu, Jie Ying, Haima Yang, Le Fu, Boyang Li, Bin Jiang
Summary: This study proposes a novel computerized method for accurately detecting deep myometrial invasion on MRI by utilizing the geometric feature LS and texture features in the ensemble model EPSVM. The results demonstrate that EPSVM outperforms commonly used classifiers in terms of accuracy, sensitivity, and specificity, and LS plays a significant role in DMI detection.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Xiaoliang Ma, Jinwei Qiang, Guofu Zhang, Shulei Cai, Fenghua Ma, Jia Liu
Summary: This study compared the diagnostic performance of two MRI protocols in assessing the depth of myometrial invasion in endometrial carcinoma. The results showed that the OUA DCE-MRI protocol was superior to the OPA CE-MRI protocol.
ACADEMIC RADIOLOGY
(2022)
Review
Oncology
Jianzhang Wang, Ping Xu, Xueying Yang, Qin Yu, Xinxin Xu, Gen Zou, Xinmei Zhang
Summary: This meta-analysis study found that deep myometrial invasion is positively associated with lymphovascular space invasion, lymph node metastasis, cancer recurrence, and overall survival in endometrial cancer patients. It suggests that myometrial invasion can be a useful evaluation criterion for clinical outcomes and prognosis of endometrial cancer, highlighting the importance of paying attention to myometrial invasion in clinical practice. Further investigation into the underlying mechanisms is warranted.
FRONTIERS IN ONCOLOGY
(2021)
Article
Oncology
Yan Qiang, Qinfen Zhang, Lingyan Dong
Summary: The study aimed to evaluate the predictive value of metabolic syndrome in assessing myometrial invasion in endometrial cancer patients. Retrospective analysis was conducted on patients diagnosed between January 2006 and December 2020 at Nanjing First Hospital. A metabolic risk score (MRS) was calculated using multiple metabolic indicators. Logistic regression and nomogram construction were performed to identify significant predictors. The MRS-based nomogram showed improved diagnostic accuracy for myometrial invasion.
Review
Acoustics
G. Spagnol, M. Noventa, G. Bonaldo, M. Marchetti, A. Vitagliano, A. S. Lagana, F. Cavallin, M. Scioscia, C. Saccardi, R. Tozzi
Summary: This study evaluated and compared the diagnostic test accuracy of three-dimensional transvaginal ultrasound (3D-TVS) and magnetic resonance imaging (MRI) for deep myometrial infiltration (DMI) and cervical invasion in patients with endometrial cancer (EC). The results showed that 3D-TVS demonstrated good sensitivity and specificity for the evaluation of DMI and cervical invasion, with comparable results to MRI.
ULTRASOUND IN OBSTETRICS & GYNECOLOGY
(2022)
