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Pati SK, Mondal K, Bodhey NK, Bagde N, Gupta RK, Shukla A. Role of Multiparametric MRI in the Preoperative Evaluation of Endometrial Carcinoma: A Cross-Sectional Study. Cureus 2024; 16:e65058. [PMID: 39171058 PMCID: PMC11335962 DOI: 10.7759/cureus.65058] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 07/21/2024] [Indexed: 08/23/2024] Open
Abstract
Background Endometrial carcinoma (EC) is a major global concern in females throughout the world with increasing incidence in India. Hence, early detection and prompt intervention will reduce morbidity and mortality associated with it. Multiple studies showed a promising role of multiparametric magnetic resonance imaging (mpMRI) in the evaluation and early detection of the disease. In view of the paucity of such studies in the Indian population, we assessed the role of mpMRI in the evaluation of EC by utilizing a 3T MR scanner. Objectives To assess the efficacy of mpMRI in detecting myometrial invasion and locoregional staging in suspected or diagnosed cases of EC. Materials and methods Nineteen cases of EC with mpMRI were included in the study, and 15 of these underwent surgicopathological staging. The preoperative staging was done using the International Federation of Gynecology and Obstetrics (FIGO) 2009 staging system based on mpMRI findings and compared with postoperative FIGO staging. All the data were compiled in a Microsoft Excel (Microsoft® Corp., Redmond, WA) file and analyzed in Statistical Product and Service Solutions (SPSS, version 21.0; IBM SPSS Statistics for Windows, Armonk, NY) using appropriate tools. Results In our study, EC was commonly seen in more than 50-year females with a predominant complaint being postmenopausal bleeding. EC most commonly appeared heterogeneously hyperintense on T2-weighted sequence (T2W) and areas of diffusion restriction on diffusion-weighted imaging (DWI) in all cases. Dynamic contrast-enhanced (DCE) MRI (DCE-MRI) showed mild heterogeneous enhancement in all phases with better delineation of adjacent myometrial infiltration in the equilibrium phase. Diffusion tensor imaging (DTI) parameters had significantly lower values in involved myometrium vis-a-vis uninvolved myometrium. A statistically significant correlation was seen between preoperative mpMRI FIGO staging utilizing T2W, DWI, DCE-MRI, and DTI with surgicopathological FIGO staging. Conclusion mpMRI, particularly T2W, DWI, DCE-MRI, and DTI, yields a significant correlation between MR imaging and histopathological findings in assessing myometrial infiltration and thereby could be helpful in preoperative staging and extent of lymph-nodal dissection.
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Affiliation(s)
- Saroj Kumar Pati
- Radiodiagnosis, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Kingshuk Mondal
- Radiodiagnosis, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | | | - Nilaj Bagde
- Obstetrics and Gynaecology, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Rakesh K Gupta
- Pathology and Laboratory Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND
| | - Arvind Shukla
- Community and Family Medicine, All India Institute of Medical Sciences, Raipur, Raipur, IND
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Zhao Y, You C, Zhou X, Li X, Zhang C, Wu Y, Shen W. The volumetric ADC histogram analysis in differentiating stage IA endometrial carcinoma from endometrial polyp. Br J Radiol 2024; 97:1139-1145. [PMID: 38662891 PMCID: PMC11135793 DOI: 10.1093/bjr/tqae081] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2023] [Revised: 07/06/2023] [Accepted: 04/02/2024] [Indexed: 05/31/2024] Open
Abstract
OBJECTIVE This study aimed to explore the value of apparent diffusion coefficient (ADC) histogram based on whole lesion volume in distinguishing stage IA endometrial carcinoma from the endometrial polyp. METHODS MRI of 108 patients with endometrial lesions confirmed by pathology were retrospectively analysed, including 65 cases of stage IA endometrial carcinoma and 43 cases of endometrial polyp. The volumetric ADC histogram metrics and general imaging features were evaluated and measured simultaneously. All the features were compared between the 2 groups. The receiver operating characteristic curve was utilized to evaluate the diagnostic performance. RESULTS The mean, max, min, and percentiles (10th, 25th, 50th, 75th, 95th) ADC values of endometrial carcinoma were significantly lower than that of polyp (all P < .05). The skewness and kurtosis of ADC values in the endometrial carcinoma group were significantly higher than those in the endometrial polyp group, and the variance of ADC values in the endometrial carcinoma group was lower than those in the endometrial polyp group (all P < .05). Endometrial carcinoma demonstrated more obvious myometrial invasion combined with intralesion haemorrhage than polyp (all P < .05). The 25th percentile of ADC values achieved the largest areas under the curve (0.861) among all the ADC histogram metrics and general imaging features, and the sensitivity and specificity were 83.08% and 76.74%, with the cut-off value of 1.01 × 10-3 mm2/s. CONCLUSION The volumetric ADC histogram analysis was an effective method in differentiating endometrial carcinoma from an endometrial polyp. The 25th percentile of ADC values has satisfactory performance for detecting malignancy in the endometrium. ADVANCES IN KNOWLEDGE The ADC histogram metric based on whole lesion is a promising imaging-maker in differentiating endometrial benign and malignant lesions.
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Affiliation(s)
- Yujiao Zhao
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China
| | - Cong You
- Department of Radiology, The First Central Clinical College of Tianjin Medical University, Tianjin, 300192, China
| | - Xin Zhou
- Department of Radiology, Tianjin Central Hospital of Gynecology Obstetrics, Tianjin, 300052, China
| | - Xiaotian Li
- The School of Medicine, Nankai University, Tianjin, 300071, China
| | - Cheng Zhang
- Department of Radiology, The First Central Clinical College of Tianjin Medical University, Tianjin, 300192, China
| | - Yanhong Wu
- Department of Obstetrics, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China
| | - Wen Shen
- Department of Radiology, Tianjin First Central Hospital, School of Medicine, Nankai University, Tianjin, 300192, China
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Li HJ, Cao K, Li XT, Zhu HT, Zhao B, Gao M, Song X, Sun YS. A comparative study of mono-exponential and advanced diffusion-weighted imaging in differentiating stage IA endometrial carcinoma from benign endometrial lesions. J Cancer Res Clin Oncol 2024; 150:141. [PMID: 38504026 PMCID: PMC10951008 DOI: 10.1007/s00432-024-05668-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Accepted: 02/25/2024] [Indexed: 03/21/2024]
Abstract
PURPOSE The purpose of the current investigation is to compare the efficacy of different diffusion models and diffusion kurtosis imaging (DKI) in differentiating stage IA endometrial carcinoma (IAEC) from benign endometrial lesions (BELs). METHODS Patients with IAEC, endometrial hyperplasia (EH), or a thickened endometrium confirmed between May 2016 and August 2022 were retrospectively enrolled. All of the patients underwent a preoperative pelvic magnetic resonance imaging (MRI) examination. The apparent diffusion coefficient (ADC) from the mono-exponential model, pure diffusion coefficient (D), pseudo-diffusion coefficient (D*), perfusion fraction (f) from the bi-exponential model, distributed diffusion coefficient (DDC), water molecular diffusion heterogeneity index from the stretched-exponential model, diffusion coefficient (Dk) and diffusion kurtosis (K) from the DKI model were calculated. Receiver operating characteristic (ROC) analysis was used to evaluate the diagnostic efficiency. RESULTS A total of 90 patients with IAEC and 91 patients with BELs were enrolled. The values of ADC, D, DDC and Dk were significantly lower and D* and K were significantly higher in cases of IAEC (p < 0.05). Multivariate analysis showed that K was the only predictor. The area under the ROC curve of K was 0.864, significantly higher compared with the ADC (0.601), D (0.811), D* (0.638), DDC (0.743) and Dk (0.675). The sensitivity, specificity and accuracy of K were 78.89%, 85.71% and 80.66%, respectively. CONCLUSION Advanced diffusion-weighted imaging models have good performance for differentiating IAEC from EH and endometrial thickening. Among all of the diffusion parameters, K showed the best performance and was the only independent predictor. Diffusion kurtosis imaging was defined as the most valuable model in the current context.
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Affiliation(s)
- Hai-Jiao Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Kun Cao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Xiao-Ting Li
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Hai-Tao Zhu
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Bo Zhao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Min Gao
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Gynecological Oncology, Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China
| | - Xiang Song
- Siemens Healthineers Digital Technology (Shanghai) Co., Ltd, Customer Services CRM, No.7 Wangjing Zhonghuan Nanlu, Beijing, 100102, China
| | - Ying-Shi Sun
- Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Department of Radiology, Peking University Cancer Hospital and Institute, No. 52 Fu Cheng Road, Hai Dian District, Beijing, 100142, China.
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Al-Sharydah AM, AlMulhim AA, Al Shikmubarak IA, Alhussaini AA, Alehaideb RS, Salman R. Management of Pyometra Using a Novel Image-Guided Percutaneous Technique: A Case Report. Medicina (B Aires) 2023; 59:medicina59040689. [PMID: 37109647 PMCID: PMC10145810 DOI: 10.3390/medicina59040689] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2023] [Revised: 03/16/2023] [Accepted: 03/30/2023] [Indexed: 04/03/2023] Open
Abstract
Pyometra is a uterine infection that causes pus to accumulate in the uterine cavity. Pyometra primarily affects postmenopausal women. Multiple aetiologies, including cervical stenosis, have been identified. Medical therapy using intravenous antibiotics and surgical evacuation are the conventional treatment options for pyometra. Here, we present a unique case of a novel therapy for pyometra in a geriatric patient; percutaneous alleviation of the causative cervical stenosis was performed using balloon dilatation, along with endometrial drainage of the infected fluid through her vagina, a natural route. This technique has overcome the need for other invasive therapies. The patient’s clinical condition improved significantly after this minimally invasive treatment. Percutaneous balloon dilatation of the cervix for stenosis or occlusion in patients with pyometra facilitates drainage of the infected endometrial fluid. This alternative management technique ensured a satisfactory postoperative course and tolerance in the short-term follow-up. Furthermore, the technique ensured good aesthetic results, with its minimally invasive approach in selected patients, compared to other means of evacuation.
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Affiliation(s)
- Abdulaziz Mohammad Al-Sharydah
- Department of Diagnostic and Interventional Radiology, King Fahd Hospital of the University, Imam Abdulrahman Bin Faisal University, Khobar P.O. Box: 4398 (31952), Saudi Arabia
| | | | | | - Abdulmohsen Ahmed Alhussaini
- Vascular Interventional Radiology, Medical Imaging Department, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh 11564, Saudi Arabia
| | - Raghad Sulaiman Alehaideb
- Vascular Interventional Radiology, Medical Imaging Department, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh 11564, Saudi Arabia
| | - Refaat Salman
- Vascular Interventional Radiology, Medical Imaging Department, King Abdulaziz Medical City, Ministry of National Guard Health Affairs, Riyadh 11564, Saudi Arabia
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Liu XF, Yan BC, Li Y, Ma FH, Qiang JW. Radiomics nomogram in aiding preoperatively dilatation and curettage in differentiating type II and type I endometrial cancer. Clin Radiol 2023; 78:e29-e36. [PMID: 36192204 DOI: 10.1016/j.crad.2022.08.139] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 08/23/2022] [Accepted: 08/24/2022] [Indexed: 01/21/2023]
Abstract
AIM To established a radiomics nomogram for improving the dilatation and curettage (D&C) result in differentiating type II from type I endometrial cancer (EC) preoperatively. MATERIAL AND METHODS EC patients (n=875) were enrolled retrospectively and divided randomly into a training cohort (n=437) and a test cohort (n=438), according to the ratio of 1:1. Radiomics signatures were extracted and selected from apparent diffusion coefficient (ADC) maps. A multivariate logistic regression analysis was used to identify the independent clinical risk factors. An ADC based-radiomics nomogram was built by integrating the selected radiomics signatures and the independent clinical risk factors. Decision curve analysis (DCA) was conducted to determine the clinical usefulness of the radiomics nomogram. The net reclassification index (NRI) and total integrated discrimination index (IDI) were calculated to compare the discrimination performances between the radiomics nomogram and the D&C result. RESULTS Receiver operating characteristic (ROC) curves showed that the clinical risk factors, the D&C, and the ADC based-radiomics nomogram yielded areas under the ROC curves (AUCs) of 0.70 (95% CI: 0.64-0.76), 0.85 (95% CI: 0.80-0.89), and 0.93 (95% CI: 0.90-0.96) in the training cohort and 0.64 (95% CI: 0.57-0.71), 0.82 (95% CI: 0.77-0.87) and 0.91 (95% CI: 0.87-0.95) in the test cohort, respectively. The DCA, NRI, and IDI demonstrated the clinically usefulness of the ADC based-radiomics nomogram. CONCLUSION The ADC-based radiomics nomogram could be used to improve the D&C result in differentiating type II from type I EC preoperatively.
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Affiliation(s)
- X-F Liu
- Department of Radiology, Jinshan Hospital, Fudan University, 201508, Shanghai, China
| | - B-C Yan
- Department of Radiology, Jinshan Hospital, Fudan University, 201508, Shanghai, China
| | - Y Li
- Department of Radiology, Jinshan Hospital, Fudan University, 201508, Shanghai, China.
| | - F-H Ma
- Departments of Radiology, Obstetrics & Gynecology Hospital, Fudan University, 200090, Shanghai, China
| | - J-W Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, 201508, Shanghai, China.
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Zhang J, Yu X, Zhang X, Chen S, Song Y, Xie L, Chen Y, Ouyang H. Whole-lesion apparent diffusion coefficient (ADC) histogram as a quantitative biomarker to preoperatively differentiate stage IA endometrial carcinoma from benign endometrial lesions. BMC Med Imaging 2022; 22:139. [PMID: 35941559 PMCID: PMC9358891 DOI: 10.1186/s12880-022-00864-9] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Accepted: 07/29/2022] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND To assess the value of whole-lesion apparent diffusion coefficient (ADC) histogram analysis in differentiating stage IA endometrial carcinoma (EC) from benign endometrial lesions (BELs) and characterizing histopathologic features of stage IA EC preoperatively. METHODS One hundred and six BEL and 126 stage IA EC patients were retrospectively enrolled. Eighteen volumetric histogram parameters were extracted from the ADC map of each lesion. The Mann-Whitney U or Student's t-test was used to compare the differences between the two groups. Models based on clinical parameters and histogram features were established using multivariate logistic regression. Receiver operating characteristic (ROC) analysis and calibration curves were used to assess the models. RESULTS Stage IA EC showed lower ADC10th, ADC90th, ADCmin, ADCmax, ADCmean, ADCmedian, interquartile range, mean absolute deviation, robust mean absolute deviation (rMAD), root mean squared, energy, total energy, entropy, variance, and higher skewness, kurtosis and uniformity than BELs (all p < 0.05). ADCmedian yielded the highest area under the ROC curve (AUC) of 0.928 (95% confidence interval [CI] 0.895-0.960; cut-off value = 1.161 × 10-3 mm2/s) for differentiating stage IA EC from BELs. Moreover, multivariate analysis demonstrated that ADC-score (ADC10th + skewness + rMAD + total energy) was the only significant independent predictor (OR = 2.641, 95% CI 2.045-3.411; p < 0.001) for stage IA EC when considering clinical parameters. This ADC histogram model (ADC-score) achieved an AUC of 0.941 and a bias-corrected AUC of 0.937 after bootstrap resampling. The model performed well for both premenopausal (accuracy = 0.871) and postmenopausal (accuracy = 0.905) patients. Besides, ADCmin and ADC10th were significantly lower in Grade 3 than in Grade 1/2 stage IA EC (p = 0.022 and 0.047). At the same time, no correlation was found between ADC histogram parameters and the expression of Ki-67 in stage IA EC (all p > 0.05). CONCLUSIONS Whole-lesion ADC histogram analysis could serve as an imaging biomarker for differentiating stage IA EC from BELs and assisting in tumor grading of stage IA EC, thus facilitating personalized clinical management for premenopausal and postmenopausal patients.
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Affiliation(s)
- Jieying Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Xiaoduo Yu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Xiaomiao Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Shuang Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yan Song
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Lizhi Xie
- MR Research China, GE Healthcare, Beijing, 100176, China
| | - Yan Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Han Ouyang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
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Zhang J, Zhang Q, Wang T, Song Y, Yu X, Xie L, Chen Y, Ouyang H. Multimodal MRI-Based Radiomics-Clinical Model for Preoperatively Differentiating Concurrent Endometrial Carcinoma From Atypical Endometrial Hyperplasia. Front Oncol 2022; 12:887546. [PMID: 35692806 PMCID: PMC9186045 DOI: 10.3389/fonc.2022.887546] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 04/25/2022] [Indexed: 11/24/2022] Open
Abstract
Objectives To develop and validate a radiomics model based on multimodal MRI combining clinical information for preoperative distinguishing concurrent endometrial carcinoma (CEC) from atypical endometrial hyperplasia (AEH). Materials and Methods A total of 122 patients (78 AEH and 44 CEC) who underwent preoperative MRI were enrolled in this retrospective study. Radiomics features were extracted based on T2-weighted imaging (T2WI), diffusion-weighted imaging (DWI), and apparent diffusion coefficient (ADC) maps. After feature reduction by minimum redundancy maximum relevance and least absolute shrinkage and selection operator algorithm, single-modal and multimodal radiomics signatures, clinical model, and radiomics-clinical model were constructed using logistic regression. Receiver operating characteristic (ROC) analysis, calibration curves, and decision curve analysis were used to assess the models. Results The combined radiomics signature of T2WI, DWI, and ADC maps showed better discrimination ability than either alone. The radiomics-clinical model consisting of multimodal radiomics features, endometrial thickness >11mm, and nulliparity status achieved the highest area under the ROC curve (AUC) of 0.932 (95% confidential interval [CI]: 0.880-0.984), bootstrap corrected AUC of 0.922 in the training set, and AUC of 0.942 (95% CI: 0.852-1.000) in the validation set. Subgroup analysis further revealed that this model performed well for patients with preoperative endometrial biopsy consistent and inconsistent with postoperative pathologic data (consistent group, F1-score = 0.865; inconsistent group, F1-score = 0.900). Conclusions The radiomics model, which incorporates multimodal MRI and clinical information, might be used to preoperatively differentiate CEC from AEH, especially for patients with under- or over-estimated preoperative endometrial biopsy.
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Affiliation(s)
- Jieying Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Qi Zhang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Tingting Wang
- Department of Gynecologic Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Yan Song
- Department of Pathology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Xiaoduo Yu
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lizhi Xie
- MR Research China, GE Healthcare, Beijing, China
| | - Yan Chen
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Han Ouyang
- Department of Diagnostic Radiology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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Dogan F, Karakas E, Karakas O, Camuzcuoglu H, Camuzcuoglu A, Kilicaslan N, Guldur ME. Does diffusion weighted imaging have a prognostic value in differentiating gynecological diseases? Radiography (Lond) 2022; 28:711-717. [PMID: 35490049 DOI: 10.1016/j.radi.2022.04.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Revised: 03/31/2022] [Accepted: 04/10/2022] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Apparent diffusion coefficient (ADC) values are effective in the diagnosis of different gynecological lesions. METHODS A retrospective evaluation was made of 12 patients with uterine cervix carcinoma and 151 patients with uterine lesions, comprising endometrial cancer, endometrial polyps, carcinosarcoma, submucous myoma, adenomyosis, endometrial hyperplasia, gestational trophoblastic neoplasm (GTN), and leiomyomas. As a control group, 20 healthy volunteers with normal endometrium and normal cervix were also evaluated. In three series, one-shot, spin echo, echo planar, b = 1000 s/mm2 value and diffusion-weighted imaging (DWI) were applied to all subjects and ADC values were obtained. RESULTS The mean ADC values of Group 1 (Endometrial carcinoma) were lower than those of all the other groups (P < 0.001) and the mean ADC value of group 6 (GTN) was higher than that all other groups (P < 0.001). A statistically significant difference was found between the groups in terms of the lesion-myometrium ADC ratios (P < 0.001). CONCLUSION There are few studies in literature related to ADC measurements in GTN. The ADC values of GTN were found to be significantly higher than the other uterine lesions. These results will aid in the design of future studies and might be used to guide management of patients with GTN. IMPLICATIONS FOR PRACTICE Diffusion-weighted MRI seems to be a promising imaging technique in differentiating different uterine lesions.
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Affiliation(s)
- F Dogan
- Harran University, Faculty of Medicine, Department of Radiology, Sanliurfa, Turkey.
| | - E Karakas
- Harran University, Faculty of Medicine, Department of Radiology, Sanliurfa, Turkey.
| | - O Karakas
- Harran University, Faculty of Medicine, Department of Radiology, Sanliurfa, Turkey.
| | - H Camuzcuoglu
- Harran University, Faculty of Medicine, Department of Obstetrics and Gynecology, Sanliurfa, Turkey.
| | - A Camuzcuoglu
- Harran University, Faculty of Medicine, Department of Obstetrics and Gynecology, Sanliurfa, Turkey.
| | - N Kilicaslan
- Harran University, Faculty of Medicine, Department of Radiology, Sanliurfa, Turkey.
| | - M E Guldur
- Harran University, Faculty of Medicine, Department of Medical Pathology, Sanliurfa, Turkey.
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Latif MA, Tantawy MS, Mosaad HS. Diagnostic value of diffusion-weighted imaging (DWI) and diffusion tensor imaging (DTI) in differentiation between normal and abnormally thickened endometrium: prospective study. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00487-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Diffusion tensor imaging (DTI) can be beneficial to differentiate between endometrium and other uterine layers. It is believed that it can be used to differentiate between normal and abnormally thickened endometrium. The purpose of this study was to find out the diagnostic value of DTI as an extension of DWI in characterization of abnormally thickened endometrium and differentiate it from normal.
Results
This study included 68 females, results of 3 of them were excluded (unable to complete the study), so the final number was 65 females subdivided into 2 groups; (A) control: 24 (13 premenopausal and 11 asymptomatic postmenopausal), (B) pathological thickened endometrium: 41 (11 premenopausal and 30 postmenopausal): benign (21 patients) and malignant (20 patients). The collected data was correlated to the histopathological results (as the gold standard) in cases of endometrial pathologies. The mean DW-ADC values for normal, benign, and malignant patients were 1.43 ± 0.13, 1.56 ± 0.17, and 0.86 ± 0.16 respectively and with significant statistical difference between normal and benign endometrial lesions (P value = 0.006), and between normal and malignant endometrial lesions, and between benign and malignant endometrial lesions (P value ˂ 0.001).
The DTI-FA mean values for normal, benign, and malignant patients were 0.349 ± 0.08, 0.29 ± 0.09, and 0.299 ± 0.08 respectively and with significant statistical difference between normal and benign endometrial lesions (P value = 0.02), but there is no significant statistical difference regarding DTI-FA values between normal and malignant endometrial lesions or between benign and malignant endometrial lesions (P value ˃ 0.05). Also, there is a significant statistical difference regarding DTI-MD mean values between normal (1.59 ± 0.06) and benign (1.37 ± 0.09), normal and malignant (0.71 ± 0.25), and between benign and malignant endometrial lesions (P value ˂ 0.001). The DT-MD had a higher sensitivity, specificity, and accuracy than both DW-ADC and DT-FA in differentiating normal, benign, and malignant endometrial pathologies.
Conclusion
DTI (added to DWI) is a valuable non-invasive tool that can increase the accuracy in differentiating normal, benign, and malignant endometrial conditions, helping early management, and decrease the possibility of misdiagnosis.
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Abdel-Latif M, Mosaad HS. Use of diffusion-weighted imaging and diffusion tensor imaging in assessment of myometrial invasion in patients of endometrial carcinoma and its correlation with histopathological grading (Prospective study). THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2021. [DOI: 10.1186/s43055-021-00652-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Endometrial cancer (EMC) is considered one of the most common gynecological cancers worldwide. In particular, the depth of myometrial invasion and histological grade of endometrial cancers (EMCs) are strong prognostic factors. Diffusion tensor measurements as mean diffusivity (MD) and fractional anisotropy (FA) values could be useful for assessing the depth of tumor invasion and its histological grade. The study aimed to evaluate the role of diffusion-weighted imaging (DWI) and diffusion tensor imaging in the detection of myometrial invasion in cases of endometrial carcinoma and prediction of its grade in vivo.
Results
This study included 50 female patients with pathologically proved endometrial carcinoma, and their ages ranged from 38 to 67 years; the mean age was 56.15 years (± 8.229 standard deviation “SD”). There was a significant statistical difference regarding the mean values of diffusion tensor fractional anisotropy (DT-FA), diffusion tensor mean diffusivity (DT-MD) and diffusion-weighted apparent diffusion coefficient(DW-ADC) values in differentiating between intact and infiltrated myometrium with (P value ≤ 0.001). The accuracy of DT-MD, DT-FA and DWI-ADC was 98%, 90% and 86%, respectively, in the detection of myometrial invasion. There was a statistically significant difference in the mean values of DT-FA, DT-MD and DW-ADC for differentiating endometrioid adenocarcinoma grades with the overall P values (˂0.001). The accuracy of DT-FA, DT- MD and DWI-ADC for differentiating grade 3 from grade 1 or 2 endometrioid adenocarcinoma was 94.9%, 84.6% and 74.4%, respectively. For differentiating grade 1 from grade 2 or 3 endometrioid adenocarcinoma, the accuracy of DT-FA, DT-MD and DWI-ADC was 90%, 89.7% and 84.6%, respectively. Mean DT-FA, DT-MD and DW-ADC values were inversely proportional to the degree of pathological grading with r = − 0.867, − 0.762 and − 0.706, respectively.
Conclusion
Diffusion tensor imaging and DWI are helpful in the assessment of myometrial invasion and have a high negative correlation with histopathological grading in patients with endometrial cancer.
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Moharamzad Y, Davarpanah AH, Yaghobi Joybari A, Shahbazi F, Esmaeilian Toosi L, Kooshkiforooshani M, Ansari A, Sanei Taheri M. Diagnostic performance of apparent diffusion coefficient (ADC) for differentiating endometrial carcinoma from benign lesions: a systematic review and meta-analysis. Abdom Radiol (NY) 2021; 46:1115-1128. [PMID: 32935258 DOI: 10.1007/s00261-020-02734-w] [Citation(s) in RCA: 12] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Revised: 08/20/2020] [Accepted: 08/30/2020] [Indexed: 01/07/2023]
Abstract
To determine the diagnostic performance of mean ADC values in the characterization of endometrial carcinoma (EC) from benign lesions by systematic review of the literature and performing meta-analysis. A systematic search of major electronic bibliographic databases was performed to find studies that used ADC values for differentiating EC from benign lesions. Two reviewers independently screened the titles and abstracts of the search results and then by reading the full texts selected the pertinent studies for final analyses. A bivariate random-effects model with pooled sensitivity and specificity values with 95% CI (confidence interval) was used. Summary receiver operating characteristic (SROC) curve and area under curve (AUC) were created. Between-study heterogeneity was measured using I squared (I2) index. Eleven studies including 269 ECs and 208 benign lesions were analyzed. Pooled average (95% CI) ADC in EC and benign lesions groups were, respectively, 0.82 (0.77-0.87) × 10-3 mm2/s and 1.41 (1.29-1.52) × 10-3 mm2/s. The combined (95% CI) sensitivity and specificity of mean ADC values for differentiating EC from benign lesions were 93% (87-96%; I2 = 41.19%) and 94% (88-97%; I2 = 46.91%), respectively. The AUC (95% CI) of the SROC curve was 98% (96-99%). ADC values had good diagnostic accuracy for differentiating EC from benign lesions. In order to recommend ADC measurement for detecting endometrial lesions in routine clinical practice, more primary studies, especially trials and comparative studies including hysteroscopically-guided biopsy method, with larger sample sizes are still required.
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Affiliation(s)
- Yashar Moharamzad
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Amir H Davarpanah
- Department of Radiology and Imaging Sciences, Emory University Hospital, Emory University School of Medicine, Atlanta, GA, 30322, USA
| | - Ali Yaghobi Joybari
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | - Fatemeh Shahbazi
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran
| | | | | | - Ali Ansari
- Department of Mathematics, K. N. Toosi University of Technology, Tehran, Iran
| | - Morteza Sanei Taheri
- School of Medicine, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
- Department of Radiology, Shohada Hospital, Tajrish Sq., 1445613131, Tehran, Iran.
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12
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Vora Z, Manchanda S, Sharma R, Das CJ, Hari S, Mathur S, Kumar S, Kachhawa G, Khan MA. Normalized apparent diffusion coefficient: a novel paradigm for characterization of endometrial and subendometrial lesions. Br J Radiol 2020; 94:20201069. [PMID: 33125267 DOI: 10.1259/bjr.20201069] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES To assess the role of normalized apparent diffusion coefficient (ADC) in characterization of endometrial and subendometrial masses, measured as a ratio of the mean ADC of the pathology to mean ADC of two different internal controls, normal myometrium and gluteus maximus muscle, referred to as nADCm and nADCg respectively. METHODS 55 females with pathologically proven endometrial and subendometrial lesions, including 27 cases of endometrial carcinoma, and 28 cases of benign masses were enrolled in this prospective study and assessed with single-shot echoplanar diffusion-weighted imaging. The normalized and absolute ADC of the lesions, measured by two radiologists, were compared in different pathologies and receiver operating characteristics (ROC) performed to distinguish benign and malignant endometrial masses. In the endometrial carcinoma group, the ADC values were further compared with tumor grade and subtype. RESULTS There was good interobserver agreement (>0.800) for both internal controls, however it was higher for myometrium [intraclass correlation coefficient-0.92; confidence interval (0.86-0.95)] than gluteus maximus muscle [ICC-0.84; CI (0.72-0.90)]. There were statistically significant differences in absolute ADC (p-0.02), nADCm (p-0.02) and nADCg (p < 0.0001) of benign and malignant endometrial masses. CONCLUSION Normalized ADC is useful to distinguish benign and malignant masses with comparable accuracy as absolute ADC. ADVANCES IN KNOWLEDGE Normalized ADC represents an easily measurable quantitative parameter which limits the influence of endogenous and exogenous factors that affect its reproducibility.
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Affiliation(s)
- Zainab Vora
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Smita Manchanda
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Raju Sharma
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Chandan Jyoti Das
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Smriti Hari
- Department of Diagnostic and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Sandeep Mathur
- Department of Pathology, All India Institute of Medical Sciences, New Delhi, India
| | - Sunesh Kumar
- Department of Gynaecology-Obstetrics, All India Institute of Medical Sciences, New Delhi, India
| | - Garima Kachhawa
- Department of Gynaecology-Obstetrics, All India Institute of Medical Sciences, New Delhi, India
| | - Maroof Ahmad Khan
- Department of Biostatistics, All India Institute of Medical Sciences, New Delhi, India
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Lee Y, Kim KA, Song MJ, Park YS, Lee J, Choi JW, Lee CH. Multiparametric magnetic resonance imaging of endometrial polypoid lesions. Abdom Radiol (NY) 2020; 45:3869-3881. [PMID: 32399703 DOI: 10.1007/s00261-020-02567-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
Abstract
Endometrial polypoid lesions encompass various conditions from physiologic changes to benign or malignant disease. Differentiating between the various causes of endometrial polypoid lesions remains difficult by transvaginal sonography. Magnetic resonance imaging (MRI) can provide valuable information regarding endometrial polypoid lesions in situations where it is difficult to obtain histologic samples. Multiparametric MRI including T2-weighted images, T1-weighted fat-saturation contrast-enhanced images, and diffusion-weighted images may be helpful for differentiating the various endometrial polypoid lesions and establishing specific diagnoses and appropriate treatment.
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Affiliation(s)
- Youkyoung Lee
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Kyeong Ah Kim
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, South Korea.
| | - Mi Jin Song
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Yang Shin Park
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Jongmee Lee
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Jae Woong Choi
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
| | - Chang Hee Lee
- Department of Radiology, Korea University Guro Hospital, Korea University College of Medicine, 148, Gurodong-ro, Guro-gu, Seoul, 08308, South Korea
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14
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Yan BC, Xiao ML, Li Y, Wei Qiang J. The diagnostic performance of ADC value for tumor grade, deep myometrial invasion and lymphovascular space invasion in endometrial cancer: a meta-analysis. Acta Radiol 2019; 60:284185119841988. [PMID: 31042066 DOI: 10.1177/0284185119841988] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
Abstract
BACKGROUND Disputes exist regarding whether the apparent diffusion coefficient (ADC) can differentiate the tumor grade, deep myometrial invasion and lymphovascular space invasion (LVSI) in endometrial cancer. The aim of this review was to assess the diagnostic performance of the ADC value in endometrial cancer. MATERIAL AND METHODS The PubMed, Web of Science, Embase and Cochrane Library databases were searched for studies that used the ADC value to assess tumor grade, deep myometrial invasion and LVSI in endometrial cancer. We used forest plots to analyze the heterogeneity and generate the pooled sensitivity (SEN) and specificity (SPE). We used summary receiver operating characteristic (SROC) curves to work out the area under the SROC curve (AUC). Likelihood ratios (LRs) were also obtained. RESULTS Of the 460 identified studies, 11 studies met our inclusion criteria and were included. Overall, nine studies (491 patients) aimed at differentiating high tumor grade had a pooled SEN, SPE and AUC of 77%, 73% and 81%, respectively; three studies (181 patients) for differentiating deep myometrial invasion had a pooled SEN, SPE and AUC of 71%, 67% and 77%, respectively; and two studies (106 patients) for differentiating LVSI had a pooled SEN and SPE of 66% and 74%, respectively. The positive and negative LRs were 2.77 and 0.35 for the tumor grade, 2.08 and 0.45 for deep myometrial invasion, and 2.48 and 0.45 for LVSI. CONCLUSION This meta-analysis showed that the ADC value had a moderate diagnostic performance for the tumor grade, deep myometrial invasion and LVSI in endometrial cancer.
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Affiliation(s)
- Bi Cong Yan
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Mei Ling Xiao
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Ying Li
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
| | - Jin Wei Qiang
- Department of Radiology, Jinshan Hospital, Fudan University, Shanghai, China
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Wang X, Zhao Y, Hu Y, Zhou Y, Ye X, Liu K, Bai G, Guo A, Du M, Jiang L, Wang J, Yan Z. Evaluation and validation of the diagnostic value of the apparent diffusion coefficient for differentiating early-stage endometrial carcinomas from benign mimickers at 3T MRI. Oncotarget 2018. [PMID: 28634318 PMCID: PMC5542275 DOI: 10.18632/oncotarget.18553] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023] Open
Abstract
Previous researchers obtained various apparent diffusion coefficient (ADC) cutoff values to differentiate endometrial carcinoma from benign mimickers with 1.5T magnetic resonance imaging (MRI). Few studies have used 3T MRI or validated the effectiveness of these cutoff ADC values prospectively. This study was designed in two stages to obtain a cutoff ADC value at 3T MRI and to validate prospectively the role of the ADC value. First, we conducted a retrospective study of 60 patients to evaluate the diagnostic value of ADC by obtain a theoretical cutoff ADC value for differentiating between benign and malignant endometrial lesions. Student's t test revealed that ADC values for stage I endometrial carcinomas were significantly lower than those for benign lesions. The area under the curve value of the receiver operating characteristic curve was 0.993, and the cutoff ADC value was 0.98 × 10-3 mm2/s. The sensitivity, specificity, and overall accuracy of diagnosing stage I endometrial carcinoma were 100%, 97.1%, and 98.3%, respectively. Second, we conducted a prospective study of 26 patients to validate the use of the cutoff ADC value obtained in the study's first stage. The sensitivity, specificity, and overall accuracy for differentiating malignant from benign endometrial lesions based on the cutoff ADC value obtained earlier were as follows: radiologist 1 attained 86.67%, 100.0%, and 92.31%, respectively; radiologist 2 attained 86.67%, 91.0%, and 88.5%, respectively. Our results suggest that ADC values could be a potential biomarker for use as a quantitative and qualitative tool for differentiating between early-stage endometrial carcinomas and benign mimickers.
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Affiliation(s)
- Xue Wang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Yu Zhao
- Department of Gynecology and Obstetrics, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Yumin Hu
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Yongjin Zhou
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Xinjian Ye
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Kun Liu
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Guanghui Bai
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Anna Guo
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Meimei Du
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Lezhen Jiang
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
| | - Jinhong Wang
- Department of Medical Imaging, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine, Shanghai 200030, China
| | - Zhihan Yan
- Department of Radiology, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou 325027, China
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Takeuchi M, Matsuzaki K, Harada M. [3. Routine MRI Examination for the Contribution of the Suitable Treatment 3-2. MRI of the Uterus]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2018; 74:499-506. [PMID: 29780050 DOI: 10.6009/jjrt.2018_jsrt_74.5.499] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/08/2023]
Affiliation(s)
| | - Kenji Matsuzaki
- Department of Radiological Technology, Tokushima Bunri University
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17
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Tzur T, Kessous R, Weintraub AY. Current strategies in the diagnosis of endometrial cancer. Arch Gynecol Obstet 2017; 296:5-14. [PMID: 28508342 DOI: 10.1007/s00404-017-4391-z] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2016] [Accepted: 05/04/2017] [Indexed: 02/06/2023]
Abstract
PURPOSE Endometrial cancer is the most common gynecological malignancy in developed countries. There are no uniform recommendations for endometrial cancer screening in the general population. Therefore, it is of paramount importance that the primary physician profoundly understands, and is familiar with the methods for prevention and early detection of endometrial cancer. The aim of this review is to provide the primary physician with a toolbox to reach these goals. METHODS We performed a systemic review to summarize the current strategies to diagnose and prevent endometrial cancer. Many published articles from the last years were identified and included. RESULTS A systematic review that summarizes the important subjects in the diagnosis and prevention of endometrial cancer. CONCLUSION Maintaining a high index of suspicion and obtaining endometrial biopsies from all suspected patients is the key for achieving a timely diagnosis.
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Affiliation(s)
- Tamar Tzur
- Department of Obstetrics and Gynecology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
| | - Roi Kessous
- Division of Gynecology Oncology, Segal Cancer Center, Jewish General Hospital, McGill University, Montreal, Canada
| | - Adi Y Weintraub
- Department of Obstetrics and Gynecology, Faculty of Health Sciences, Soroka University Medical Center, Ben-Gurion University of the Negev, Be'er-Sheva, Israel
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18
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Bakir B, Sanli S, Bakir VL, Ayas S, Yildiz SO, Iyibozkurt AC, Kartal MG, Yavuz E. Role of diffusion weighted MRI in the differential diagnosis of endometrial cancer, polyp, hyperplasia, and physiological thickening. Clin Imaging 2017; 41:86-94. [DOI: 10.1016/j.clinimag.2016.10.016] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2016] [Revised: 09/30/2016] [Accepted: 10/18/2016] [Indexed: 10/20/2022]
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19
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Retrospective Assessment of Histogram-Based Diffusion Metrics for Differentiating Benign and Malignant Endometrial Lesions. J Comput Assist Tomogr 2016; 40:723-9. [DOI: 10.1097/rct.0000000000000430] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
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20
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Leursen G, Gardner CS, Sagebiel T, Patnana M, de CastroFaria S, Devine CE, Bhosale PR. Magnetic Resonance Imaging of Benign and Malignant Uterine Neoplasms. Semin Ultrasound CT MR 2015; 36:348-60. [PMID: 26296485 DOI: 10.1053/j.sult.2015.05.003] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Benign and malignant uterine masses can be seen in the women. Some of these are asymptomatic and incidentally discovered, whereas others can be symptomatic. With the soft tissue contrast resolution magnetic resonance imaging can render a definitive diagnosis, which can further help streamline patient management. In this article we show magnetic resonance imaging examples of benign and malignant masses of the uterus and their treatment strategies.
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Affiliation(s)
- Gustavo Leursen
- Department of Abdominal Radiology, Hospital Moinhos de Vento, Porto Alegre, Rio Grande do Sul, Brazil
| | | | - Tara Sagebiel
- Diagnostic Radiology, UT MD Anderson Cancer Center, Houston, TX
| | - Madhavi Patnana
- Diagnostic Radiology, UT MD Anderson Cancer Center, Houston, TX
| | | | | | - Priya R Bhosale
- Diagnostic Radiology, UT MD Anderson Cancer Center, Houston, TX.
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Artola M, Gippini I, Andeyro M, Sánchez M, Ruiz M, Cristóbal I. Pólipos coriales tras tratamiento médico del aborto diferido. CLINICA E INVESTIGACION EN GINECOLOGIA Y OBSTETRICIA 2015. [DOI: 10.1016/j.gine.2013.10.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/25/2022]
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22
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Karakas O, Karakas E, Dogan F, Kilicaslan N, Camuzcuoglu A, Incebiyik A, Camuzcuoglu H. Diffusion-weighted MRI in the differential diagnosis of uterine endometrial cavity tumors. Wien Klin Wochenschr 2015; 127:266-73. [DOI: 10.1007/s00508-015-0709-7] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2013] [Accepted: 01/19/2015] [Indexed: 11/29/2022]
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23
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Kierans AS, Bennett GL, Haghighi M, Rosenkrantz AB. Utility of conventional and diffusion-weighted MRI features in distinguishing benign from malignant endometrial lesions. Eur J Radiol 2014; 83:726-32. [DOI: 10.1016/j.ejrad.2013.11.030] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2013] [Revised: 10/26/2013] [Accepted: 11/18/2013] [Indexed: 10/25/2022]
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24
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Benign and malignant tumor of the uterine body with broccoli sign: MR imaging features for differential diagnosis. Jpn J Radiol 2013; 31:437-43. [DOI: 10.1007/s11604-013-0215-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2013] [Accepted: 05/03/2013] [Indexed: 10/26/2022]
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25
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Endometriumkarzinom. Radiologe 2011; 51:596-601. [DOI: 10.1007/s00117-010-2116-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/18/2022]
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Popovic M, Puchner S, Berzaczy D, Lammer J, Bucek RA. Uterine artery embolization for the treatment of adenomyosis: a review. J Vasc Interv Radiol 2011; 22:901-9; quiz 909. [PMID: 21570318 DOI: 10.1016/j.jvir.2011.03.013] [Citation(s) in RCA: 60] [Impact Index Per Article: 4.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2010] [Revised: 03/10/2011] [Accepted: 03/14/2011] [Indexed: 11/19/2022] Open
Abstract
During the past 10 years, uterine artery embolization (UAE) has been investigated as a possible therapy for adenomyosis. All publications available from 1999 through 2010 are included in this report. Levels of evidence and trial classifications were evaluated according to the guidelines developed by the United States Preventive Services Task Force. Long-term data are available from 511 affected women from 15 studies. Improvements were reported by 387 patients (75.7%). The median follow-up was 26.9 months. UAE as treatment for adenomyosis shows significant clinical and symptomatic improvements on a short- and long-term basis.
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Affiliation(s)
- Martin Popovic
- Department of Radiology, Division of Cardiovascular and Interventional Radiology, Medical University of Vienna, Währinger Gürtel 18-20, A-1090 Vienna, Austria.
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Genever AV, Abdi S. Can MRI predict the diagnosis of endometrial carcinosarcoma? Clin Radiol 2011; 66:621-4. [PMID: 21507390 DOI: 10.1016/j.crad.2011.02.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2010] [Revised: 01/26/2011] [Accepted: 02/28/2011] [Indexed: 11/17/2022]
Abstract
AIM To ascertain whether magnetic resonance imaging (MRI) can be used to suggest a diagnosis of endometrial carcinosarcoma. MATERIALS AND METHODS A retrospective imaging review was performed of the MRI images of 39 patients with endometrial carcinosarcoma. Anteroposterior and longitudinal dimensions of the uterus and measurement of the endometrial thickness were taken in the sagittal plane. The ratio of antero-posterior measurement to endometrial thickness was calculated. The same measurements were taken on 50 patients with endometrial adenocarcinoma. A two-tailed t-test and receiver operator characteristic analysis were performed on these measurements for both patient groups. RESULTS There was a statistically significant difference between the longitudinal (p=0.0084) and anteroposterior (p=0.00036) dimensions of the uterus of the two groups. There was also a statistically significant difference between the ratios of anteroposterior dimension to endometrial thickness (p=0.00018). The optimal cut-off ratio above which the radiologist should be alerted to a potential diagnosis of endometrial carcinosarcoma was shown to be 0.63. CONCLUSION MRI can be helpful in suggesting a diagnosis of endometrial carcinosarcoma with the help of some simple measurements.
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Affiliation(s)
- A V Genever
- Department of Radiology, Sheffield Teaching Hospitals NHS Foundation Trust, Sheffield, UK.
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Takeuchi M, Matsuzaki K. Adenomyosis: Usual and Unusual Imaging Manifestations, Pitfalls, and Problem-solving MR Imaging Techniques. Radiographics 2011; 31:99-115. [DOI: 10.1148/rg.311105110] [Citation(s) in RCA: 54] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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29
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Differentiation of benign and malignant uterine corpus tumors by using proton MR spectroscopy at 3T: preliminary study. Eur Radiol 2010; 21:850-6. [DOI: 10.1007/s00330-010-1974-5] [Citation(s) in RCA: 21] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2010] [Revised: 08/20/2010] [Accepted: 08/25/2010] [Indexed: 12/14/2022]
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Tsujikawa T, Yoshida Y, Kudo T, Kiyono Y, Kurokawa T, Kobayashi M, Tsuchida T, Fujibayashi Y, Kotsuji F, Okazawa H. Functional Images Reflect Aggressiveness of Endometrial Carcinoma: Estrogen Receptor Expression Combined with 18F-FDG PET. J Nucl Med 2009; 50:1598-604. [DOI: 10.2967/jnumed.108.060145] [Citation(s) in RCA: 59] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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Bäumler M, Faure JM, Couture A, Flunker S, Boulot P. Prenatal 3D ultrasound and MRI assessment of horizontal uterine synechia. Prenat Diagn 2008; 28:874-5. [DOI: 10.1002/pd.2078] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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3-T MRI in the Preoperative Evaluation of Depth of Myometrial Infiltration in Endometrial Cancer. AJR Am J Roentgenol 2008; 190:489-95. [DOI: 10.2214/ajr.07.2380] [Citation(s) in RCA: 40] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
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Diagnostic accuracy of the apparent diffusion coefficient in differentiating benign from malignant uterine endometrial cavity lesions: initial results. Eur Radiol 2007; 18:384-9. [PMID: 17917730 DOI: 10.1007/s00330-007-0769-9] [Citation(s) in RCA: 136] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2007] [Revised: 08/13/2007] [Accepted: 08/28/2007] [Indexed: 02/06/2023]
Abstract
Our purpose is to evaluate the diagnostic accuracy of apparent diffusion coefficient (ADC) measurement in differentiating malignant from benign uterine endometrial cavity lesions. We retrospectively evaluated 25 uterine endometrial cavity lesions in 25 female patients: endometrial carcinoma (n = 11), carcinosarcoma (n = 2), submucosal leiomyoma (n = 8), and endometrial polyp (n = 4). Diffusion-weighted images were performed at 1.5 T with b factors of 0-1,000/mm(2). The region of interest was defined within the tumor on T2-weighted EPI image and then manually copied to an ADC map. Thereby, the ADC value was obtained. We compared ADC values between malignant and benign lesions using Student's t-test. The mean and standard deviation of ADC values (x10(-3) mm(2)/s) were as follows: endometrial carcinoma, 0.98+/-0.21; carcinosarcoma, 0.97+/-0.02; submucosal leiomyoma, 1.37+/-0.28; and endometrial polyp, 1.58+/-0.45. The ADC values differed significantly between malignant (0.98+/-0.19) and benign lesions (1.44+/-0.34) (P < 0.01). We defined malignant tumors as cases with an ADC value less than 1.15 x 10(-3) mm(2)/s for obtaining the highest accuracy. Sensitivity, specificity, and accuracy were 84.6%, 100%, and 92%, respectively. ADC measurement can provide useful information in differentiating malignant from benign uterine endometrial cavity lesions.
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Kiss MZ, Hobson MA, Varghese T, Harter J, Kliewer MA, Hartenbach EM, Zagzebski JA. Frequency-dependent complex modulus of the uterus: preliminary results. Phys Med Biol 2006; 51:3683-95. [PMID: 16861774 PMCID: PMC3690800 DOI: 10.1088/0031-9155/51/15/006] [Citation(s) in RCA: 41] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022]
Abstract
The frequency-dependent complex moduli of human uterine tissue have been characterized. Quantification of the modulus is required for developing uterine ultrasound elastography as a viable imaging modality for diagnosing and monitoring causes for abnormal uterine bleeding and enlargement, as well assessing the integrity of uterine and cervical tissue. The complex modulus was measured in samples from hysterectomies of 24 patients ranging in age from 31 to 79 years. Measurements were done under small compressions of either 1 or 2%, at low pre-compression values (either 1 or 2%), and over a frequency range of 0.1-100 Hz. Modulus values of cervical tissue monotonically increased from approximately 30-90 kPa over the frequency range. Normal uterine tissue possessed modulus values over the same range, while leiomyomas, or uterine fibroids, exhibited values ranging from approximately 60-220 kPa.
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Affiliation(s)
- Miklos Z Kiss
- Department of Medical Physics, University of Wisconsin, Madison, WI 53706, USA.
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