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Ciancio FF, Insalaco G, Millan S, Randazzo C, Grasso F, Trombetta G, Gulisano M, Bruno MT, Valenti G. Stage II endometrial cancer: The diagnostic power of hysteroscopic excisional biopsy and MRI in the pre-operative cervical stroma assessment. Eur J Obstet Gynecol Reprod Biol 2024; 298:140-145. [PMID: 38756054 DOI: 10.1016/j.ejogrb.2024.05.015] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 05/12/2024] [Indexed: 05/18/2024]
Abstract
INTRODUCTION/BACKGROUND Stage II Endometrial cancer (EC) accounts only for 12% of cases. Recent evidences redraw the weight of radicality in this stage as it would seem to have no impact on survival outcomes claiming for radicality when free surgical margins are not ensured to be achieved by simple hysterectomy. Thus, an accurate pre-operative evaluation might be crucial. This study aims to estimate the diagnostic power of Hysteroscopic excisional biopsy (HEB) of cervical stroma alone and combined with Magnetic resonance imaging (MRI) to predict the stage and concealed parametrial invasion in patients with preoperative stage II EC. METHODOLOGY From January 2019 to November 2023, all patients evaluated at the Department of Gynaecology Oncology of Humanitas, Istituto Clinico Catanese, Catania, Italy, with a diagnosis of EC and evidence of cervical stromal diffusion on preoperative MRI and/or office hysteroscopy evaluation, considered suitable for laparoscopic modified type B hysterectomy, were consecutively included in the study. These underwent endometrial and cervical hysteroscopy excisional biopsy (HEB) for histological evaluation before definitive surgery. The data obtained were compared with the definitive histological examination (reference standard). RESULTS Sixteen patients met the including/excluding criteria and were considered into the study. Stage II endometrial cancer were confirmed in 3 cases (18.7%). We reported 2 (12,5%) parametrial involvement (IIIB), 4 (25%) cases of lymph nodes metastasis (IIIc), 7 (43,7%) cases of I stage. MRI had a sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and accuracy (95% CIs) of 71%, 44%, 50%, 66% and 56.2 % respectively. HEB showed sensitivity, specificity, PPV, NPV and accuracy (95 % CI) of 85 %, 89 %, 85 %, 88 % and 87 % respectively. Comparing HEB + MRI to HEB alone, no statistical differences were noted in all fields. Considering parametrial invasion, MRI had better sensitivity but there were no statistical differences to HEB in other fields, showing both a worthy NPV. CONCLUSION HEB was accurate in all fields for cervical stroma assessment and had a fine NPV to exclude massive cervical involvement up to parametrial. Considering the new FIGO staging a preoperative molecular and histological evaluation of the cervical stroma may be useful. Operative hysteroscopy seems to be a feasible and accurate method for this purpose.
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Affiliation(s)
| | - Giulio Insalaco
- Humanitas, Istituto Clinico Catanese, Unit of Gynaecologic Oncology, Catania, Italy
| | - Simone Millan
- Humanitas, Istituto Clinico Catanese, Unit of Gynaecologic Oncology, Catania, Italy
| | - Claudia Randazzo
- Humanitas, Istituto Clinico Catanese, Unit of Gynaecologic Oncology, Catania, Italy
| | - Federica Grasso
- Humanitas, Istituto Clinico Catanese, Unit of Gynaecologic Oncology, Catania, Italy
| | - Giuseppina Trombetta
- Humanitas, Istituto Clinico Catanese, Unit of Gynaecologic Oncology, Catania, Italy
| | - Marianna Gulisano
- Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
| | - Maria Teresa Bruno
- Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
| | - Gaetano Valenti
- Humanitas, Istituto Clinico Catanese, Unit of Gynaecologic Oncology, Catania, Italy.
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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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Matsumoto YK, Himoto Y, Nishio M, Kikkawa N, Otani S, Ito K, Yamanoi K, Kato T, Fujimoto K, Kurata Y, Moribata Y, Yoshida H, Minamiguchi S, Mandai M, Kido A, Nakamoto Y. Nodal infiltration in endometrial cancer: a prediction model using best subset regression. Eur Radiol 2024; 34:3375-3384. [PMID: 37882835 DOI: 10.1007/s00330-023-10310-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2023] [Revised: 07/17/2023] [Accepted: 08/17/2023] [Indexed: 10/27/2023]
Abstract
OBJECTIVES To build preoperative prediction models with and without MRI for regional lymph node metastasis (r-LNM, pelvic and/or para-aortic LNM (PENM/PANM)) and for PANM in endometrial cancer using established risk factors. METHODS In this retrospective two-center study, 364 patients with endometrial cancer were included: 253 in the model development and 111 in the external validation. For r-LNM and PANM, respectively, best subset regression with ten-time fivefold cross validation was conducted using ten established risk factors (4 clinical and 6 imaging factors). Models with the top 10 percentile of area under the curve (AUC) and with the fewest variables in the model development were subjected to the external validation (11 and 4 candidates, respectively, for r-LNM and PANM). Then, the models with the highest AUC were selected as the final models. Models without MRI findings were developed similarly, assuming the cases where MRI was not available. RESULTS The final r-LNM model consisted of pelvic lymph node (PEN) ≥ 6 mm, deep myometrial invasion (DMI) on MRI, CA125, para-aortic lymph node (PAN) ≥ 6 mm, and biopsy; PANM model consisted of DMI, PAN, PEN, and CA125 (in order of correlation coefficient β values). The AUCs were 0.85 (95%CI: 0.77-0.92) and 0.86 (0.75-0.94) for the external validation, respectively. The model without MRI for r-LNM and PANM showed AUC of 0.79 (0.68-0.89) and 0.87 (0.76-0.96), respectively. CONCLUSIONS The prediction models created by best subset regression with cross validation showed high diagnostic performance for predicting LNM in endometrial cancer, which may avoid unnecessary lymphadenectomies. CLINICAL RELEVANCE STATEMENT The prediction risks of lymph node metastasis (LNM) and para-aortic LNM can be easily obtained for all patients with endometrial cancer by inputting the conventional clinical information into our models. They help in the decision-making for optimal lymphadenectomy and personalized treatment. KEY POINTS •Diagnostic performance of lymph node metastases (LNM) in endometrial cancer is low based on size criteria and can be improved by combining with other clinical information. •The optimized logistic regression model for regional LNM consists of lymph node ≥ 6 mm, deep myometrial invasion, cancer antigen-125, and biopsy, showing high diagnostic performance. •Our model predicts the preoperative risk of LNM, which may avoid unnecessary lymphadenectomies.
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Affiliation(s)
- Yuka Kuriyama Matsumoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Yuki Himoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan.
| | - Mizuho Nishio
- Department of Radiology, Kobe University Graduate School of Medicine, Kobe, Japan
| | - Nao Kikkawa
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Satoshi Otani
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Kimiteru Ito
- Department of Diagnostic Radiology, National Cancer Center Hospital, Tokyo, Japan
| | - Koji Yamanoi
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Tomoyasu Kato
- Department of Gynecology, National Cancer Center Hospital, Tokyo, Japan
| | - Koji Fujimoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Yasuhisa Kurata
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Yusaku Moribata
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Hiroshi Yoshida
- Department of Diagnostic Pathology, National Cancer Center Hospital, Tokyo, Japan
| | - Sachiko Minamiguchi
- Department of Diagnostic Pathology, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Masaki Mandai
- Department of Gynecology and Obstetrics, Kyoto University Graduate School of Medicine, Kyoto, Japan
| | - Aki Kido
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
| | - Yuji Nakamoto
- Department of Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, 54 Kawaharacho, Shogoin, Sakyo-Ku, Kyoto, 606-8507, Japan
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Leo E, Stanzione A, Miele M, Cuocolo R, Sica G, Scaglione M, Camera L, Maurea S, Mainenti PP. Artificial Intelligence and Radiomics for Endometrial Cancer MRI: Exploring the Whats, Whys and Hows. J Clin Med 2023; 13:226. [PMID: 38202233 PMCID: PMC10779496 DOI: 10.3390/jcm13010226] [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: 12/02/2023] [Revised: 12/23/2023] [Accepted: 12/23/2023] [Indexed: 01/12/2024] Open
Abstract
Endometrial cancer (EC) is intricately linked to obesity and diabetes, which are widespread risk factors. Medical imaging, especially magnetic resonance imaging (MRI), plays a major role in EC assessment, particularly for disease staging. However, the diagnostic performance of MRI exhibits variability in the detection of clinically relevant prognostic factors (e.g., deep myometrial invasion and metastatic lymph nodes assessment). To address these challenges and enhance the value of MRI, radiomics and artificial intelligence (AI) algorithms emerge as promising tools with a potential to impact EC risk assessment, treatment planning, and prognosis prediction. These advanced post-processing techniques allow us to quantitatively analyse medical images, providing novel insights into cancer characteristics beyond conventional qualitative image evaluation. However, despite the growing interest and research efforts, the integration of radiomics and AI to EC management is still far from clinical practice and represents a possible perspective rather than an actual reality. This review focuses on the state of radiomics and AI in EC MRI, emphasizing risk stratification and prognostic factor prediction, aiming to illuminate potential advancements and address existing challenges in the field.
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Affiliation(s)
- Elisabetta Leo
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy
| | - Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy
| | - Mariaelena Miele
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy
| | - Renato Cuocolo
- Department of Medicine, Surgery and Dentistry, University of Salerno, 84081 Baronissi, Italy
| | - Giacomo Sica
- Department of Radiology, Monaldi Hospital, Azienda Ospedaliera dei Colli, 80131 Naples, Italy
| | - Mariano Scaglione
- Department of Medicine, Surgery and Pharmacy, University of Sassari, 07100 Sassari, Italy
| | - Luigi Camera
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy
| | - Simone Maurea
- Department of Advanced Biomedical Sciences, University of Naples “Federico II”, 80131 Naples, Italy
| | - Pier Paolo Mainenti
- Institute of Biostructures and Bioimaging of the National Council of Research (CNR), 80131 Naples, Italy
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López‐González E, Rodríguez‐Jiménez A, Rojas‐Luna JA, Daza‐Manzano C, Gómez‐Salgado J. Values of tumor volume on magnetic resonance imaging for a surgical approach to endometrial cancer. Cancer Med 2023; 12:17671-17678. [PMID: 37602828 PMCID: PMC10523938 DOI: 10.1002/cam4.6384] [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: 03/15/2023] [Revised: 06/10/2023] [Accepted: 07/19/2023] [Indexed: 08/22/2023] Open
Abstract
OBJECTIVE To analyze the relationship between tumor volume in Endometrial Cancer (EC) on Magnetic Resonance Imaging (MRI) and lymph node metastasis to establish which patients benefit from omitting the lymphadenectomy. METHODS A retrospective observational study with 194 patients with EC identified between 2016 and 2021 at the Juan Ramón Jiménez University Hospital, Huelva (Spain) was carried out. Preoperative MRI of 127 patients was assessed. The tumor volume was analyzed on MRI by the ellipsoid formula and another alternative method with a manual ROI in different sections. Risk factors for node metastases were analyzed to understand its relationship and to identify an optimum criterion for the tailored surgery. RESULTS Univariate analysis showed risk factors for lymph node metastases were histological grade (p = 0.001), tumor with a volume greater than >25 cm3 (p < 0.001), lymphovascular space invaded (p = 0.007), and preoperative Ca 125 serum >28 (p < 0.001). Multivariate analysis indicated that tumor volume index >25 cm3 was an independent risk factor for lymph node metastases. The patients without significant proposed risk factors (volume index >25 cm3 [OR = 0.64], Ca 125 > 28 [OR = 0.32], and high histological grade [OR = 2.6]) did not present lymph node metastases, independent of myometrial invasion. CONCLUSIONS Lymphadenectomy can be omitted in patients with Endometrioid carcinoma that do not have any of the following risk factors: high-grade tumor, elevated Ca 125 (>28), and tumor volume on MRI greater than 25 cm3 . Tumor volume might predict the state of lymph nodes in EC and it could give information regarding surgical management.
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Affiliation(s)
- Elga López‐González
- Gynecological Oncology Unit, Department of Obstetrics and GynecologyHospital Universitario Juan Ramón JiménezHuelvaSpain
| | | | - José Antonio Rojas‐Luna
- Gynecological Oncology Unit, Department of Obstetrics and GynecologyHospital Universitario Juan Ramón JiménezHuelvaSpain
| | - Cinta Daza‐Manzano
- Gynecological Oncology Unit, Department of Obstetrics and GynecologyHospital Universitario Juan Ramón JiménezHuelvaSpain
| | - Juan Gómez‐Salgado
- Department of Sociology, Social Work and Public Health, Faculty of Labor SciencesUniversity of HuelvaHuelvaSpain
- Safety and Health Postgraduate ProgramUniversidad Espíritu SantoGuayaquilEcuador
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Ooka R, Nanki Y, Yamagami W, Kawaida M, Nagai S, Hirano T, Sakai K, Makabe T, Chiyoda T, Kobayashi Y, Kataoka F, Aoki D. Evaluation of the role of intraoperative frozen section and magnetic resonance imaging in endometrial cancer. Int J Gynaecol Obstet 2023; 160:554-562. [PMID: 35929845 DOI: 10.1002/ijgo.14389] [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: 02/17/2022] [Revised: 07/03/2022] [Accepted: 07/28/2022] [Indexed: 01/20/2023]
Abstract
OBJECTIVE To evaluate the accuracy of preoperative endometrial biopsy and magnetic resonance imaging (MRI) of endometrial cancer compared with that of intraoperative frozen section. METHODS This retrospective study included 264 patients who underwent surgery with intraoperative frozen section for endometrial cancer at our institution between 2014 and 2018. Diagnosis was determined by histologic type, grade, and myometrial invasion. Concordance rate, sensitivity, and specificity of preoperative diagnosis and intraoperative frozen diagnosis were calculated, in comparison to the final pathologic diagnosis. RESULTS Preoperative and intraoperative diagnoses showed no statistically significant difference in determining histologic type and grade (P = 0.152). Intraoperative diagnosis showed higher sensitivity for endometrioid carcinoma grade 3 and other types, and higher specificity for grade 1. For myometrial invasion, intraoperative diagnosis showed significantly higher concordance rate than preoperative MRI findings (P < 0.01). Intraoperative diagnosis showed higher sensitivity and specificity in patients with and without myometrial invasion, respectively. CONCLUSION Higher agreement between intraoperative and final diagnoses, especially in myometrial invasion, suggests that intraoperative frozen section is a good indicator for appropriate surgical procedure decision making.
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Affiliation(s)
- Reina Ooka
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Yoshiko Nanki
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Wataru Yamagami
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Miho Kawaida
- Department of Diagnostic Pathology, Keio University Hospital, Tokyo, Japan
| | - Shimpei Nagai
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Takuro Hirano
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Kensuke Sakai
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Takeshi Makabe
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Tatsuyuki Chiyoda
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Yusuke Kobayashi
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
| | - Fumio Kataoka
- Department of Obstetrics and Gynecology, International University of Health and Welfare, School of Medicine, Chiba, Japan
| | - Daisuke Aoki
- Department of Obstetrics and Gynecology, Keio University School of Medicine, Tokyo, Japan
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Manchanda S, Subashree AB, Renganathan R, Popat PB, Dhamija E, Singhal S, Bhatla N. Imaging Recommendations for Diagnosis, Staging, and Management of Uterine Cancer. Indian J Med Paediatr Oncol 2023. [DOI: 10.1055/s-0042-1759519] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
AbstractUterine cancers are classified into cancers of the corpus uteri (uterine carcinomas and carcinosarcoma) and corpus uteri (sarcomas) by the AJCC staging system (eighth edition). Endometrial carcinoma is the most common amongst these with prolonged estrogen exposure being a well-known risk factor. The FIGO staging system for endometrial carcinoma is primarily surgical and includes total hysterectomy, bilateral salpingo-oophorectomy, and lymphadenectomy. Imaging is useful in the preoperative evaluation of tumor stage, especially assessment of myometrial invasion and cervical stromal extension. Dynamic contrast enhanced MRI with DWI has a high staging accuracy and is the preferred imaging modality for primary evaluation with contrast-enhanced CT abdomen being indicated for recurrent disease. PET/CT is considered superior in evaluation of lymph nodes and extra pelvic metastases.
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Affiliation(s)
- Smita Manchanda
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Anthoni Bala Subashree
- Department of Radiodiagnosis and Interventional Radiology, All India Institute of Medical Sciences, New Delhi, India
| | - Rupa Renganathan
- Department of Diagnostic and Interventional Radiology, Kovai Medical Center and Hospitals, Coimbatore, Tamil Nadu, India
| | - Palak Bhavesh Popat
- Breast Imaging and Interventions, Department of Radiology, Tata Memorial Hospital, Mumbai, Maharashtra, India
| | - Ekta Dhamija
- Department of Radiodiagnosis, All India Institute of Medical Sciences, New Delhi, India
| | - Seema Singhal
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India
| | - Neerja Bhatla
- Department of Obstetrics and Gynaecology, All India Institute of Medical Sciences, New Delhi, India
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Mao W, Chen C, Gao H, Xiong L, Lin Y. A deep learning-based automatic staging method for early endometrial cancer on MRI images. Front Physiol 2022; 13:974245. [PMID: 36111158 PMCID: PMC9468895 DOI: 10.3389/fphys.2022.974245] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Accepted: 08/09/2022] [Indexed: 11/30/2022] Open
Abstract
Early treatment increases the 5-year survival rate of patients with endometrial cancer (EC). Deep learning (DL) as a new computer-aided diagnosis method has been widely used in medical image processing which can reduce the misdiagnosis by radiologists. An automatic staging method based on DL for the early diagnosis of EC will benefit both radiologists and patients. To develop an effective and automatic prediction model for early EC diagnosis on magnetic resonance imaging (MRI) images, we retrospectively enrolled 117 patients (73 of stage IA, 44 of stage IB) with a pathological diagnosis of early EC confirmed by postoperative biopsy at our institution from 1 January 2018, to 31 December 2020. Axial T2-weighted image (T2WI), axial diffusion-weighted image (DWI) and sagittal T2WI images from 117 patients have been classified into stage IA and stage IB according to the patient’s pathological diagnosis. Firstly, a semantic segmentation model based on the U-net network is trained to segment the uterine region and the tumor region on the MRI images. Then, the area ratio of the tumor region to the uterine region (TUR) in the segmentation map is calculated. Finally, the receiver operating characteristic curves (ROCs) are plotted by the TUR and the results of the patient’s pathological diagnosis in the test set to find the optimal staging thresholds for stage IA and stage IB. In the test sets, the trained semantic segmentation model yields the average Dice similarity coefficients of uterus and tumor on axial T2WI, axial DWI, and sagittal T2WI were 0.958 and 0.917, 0.956 and 0.941, 0.972 and 0.910 respectively. With pathological diagnostic results as the gold standard, the classification model on axial T2WI, axial DWI, and sagittal T2WI yielded an area under the curve (AUC) of 0.86, 0.85 and 0.94, respectively. In this study, an automatic DL-based segmentation model combining the ROC analysis of TUR on MRI images presents an effective early EC staging method.
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Affiliation(s)
- Wei Mao
- School of Optoelectronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China
| | - Chunxia Chen
- Department of Radiology, Fujian Maternity and Child Health Hospital, Fuzhou, Fujian, China
| | - Huachao Gao
- School of Optoelectronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China
| | - Liu Xiong
- School of Optoelectronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China
| | - Yongping Lin
- School of Optoelectronic and Communication Engineering, Xiamen University of Technology, Xiamen, Fujian, China
- *Correspondence: Yongping Lin,
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Maheshwari E, Nougaret S, Stein EB, Rauch GM, Hwang KP, Stafford RJ, Klopp AH, Soliman PT, Maturen KE, Rockall AG, Lee SI, Sadowski EA, Venkatesan AM. Update on MRI in Evaluation and Treatment of Endometrial Cancer. Radiographics 2022; 42:2112-2130. [PMID: 36018785 DOI: 10.1148/rg.220070] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
Endometrial cancer is the second most common gynecologic cancer worldwide and the most common gynecologic cancer in the United States, with an increasing incidence in high-income countries. Although the International Federation of Gynecology and Obstetrics (FIGO) staging system for endometrial cancer is a surgical staging system, contemporary published evidence-based data and expert opinions recommend MRI for treatment planning as it provides critical diagnostic information on tumor size and depth, extent of myometrial and cervical invasion, extrauterine extent, and lymph node status, all of which are essential in choosing the most appropriate therapy. Multiparametric MRI using a combination of T2-weighted sequences, diffusion-weighted imaging, and multiphase contrast-enhanced imaging is the mainstay for imaging assessment of endometrial cancer. Identification of important prognostic factors at MRI improves both treatment selection and posttreatment follow-up. MRI also plays a crucial role for fertility-preserving strategies and in patients who are not surgical candidates by helping guide therapy and identify procedural complications. This review is a product of the Society of Abdominal Radiology Uterine and Ovarian Cancer Disease-Focused Panel and reflects a multidisciplinary international collaborative effort to summarize updated information highlighting the role of MRI for endometrial cancer depiction and delineation, treatment planning, and follow-up. The article includes information regarding dedicated MRI protocols, tips for MRI reporting, imaging pitfalls, and strategies for image quality optimization. The roles of MRI-guided radiation therapy, hybrid PET/MRI, and advanced MRI techniques that are applicable to endometrial cancer imaging are also discussed. Online supplemental material is available for this article. ©RSNA, 2022.
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Affiliation(s)
- Ekta Maheshwari
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Stephanie Nougaret
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Erica B Stein
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Gaiane M Rauch
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Ken-Pin Hwang
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - R Jason Stafford
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Ann H Klopp
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Pamela T Soliman
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Katherine E Maturen
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Andrea G Rockall
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Susanna I Lee
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Elizabeth A Sadowski
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
| | - Aradhana M Venkatesan
- From the Department of Radiology, University of Pittsburgh Medical Center, 200 Lothrop St, Pittsburgh, PA 15213 (E.M.); Department of Abdominal Imaging, Montpellier Cancer Research Institute (IRCM), Montpellier, France (S.N.); Department of Radiology, University of Michigan, Ann Arbor, Mich (E.B.S., K.E.M.); Department of Abdominal Imaging, Division of Diagnostic Imaging (G.M.R., A.M.V.), Department of Imaging Physics (K.P.H., R.J.S.), Department of Radiation Oncology (A.H.K.), and Department of Gynecologic Oncology and Reproductive Medicine (P.T.S.), University of Texas MD Anderson Cancer Center, Houston, Tex; Department of Radiology, Imperial College, London, United Kingdom (A.G.R.); Department of Diagnostic Radiology, Massachusetts General Hospital, Boston, Mass (S.I.L.); and Department of Radiology, University of Wisconsin-Madison, Madison, Wis (E.A.S.)
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10
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Ye Z, Ning G, Li X, Koh TS, Chen H, Bai W, Qu H. Endometrial carcinoma: use of tracer kinetic modeling of dynamic contrast-enhanced MRI for preoperative risk assessment. Cancer Imaging 2022; 22:14. [PMID: 35264244 PMCID: PMC8908697 DOI: 10.1186/s40644-022-00452-8] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/26/2021] [Accepted: 02/24/2022] [Indexed: 01/07/2023] Open
Abstract
Background To compare two tracer kinetic models in predicting of preoperative risk types in endometrial carcinoma (EC) using DCE-MRI. Methods A prospective study of patients with EC was conducted with institutional ethics approval and written informed consent. DCE-MRI data was analyzed using the extended Tofts (ET) and the distributed parameter (DP) models. DCE parameters blood flow (F), mean transit time, blood volume (Vp), extravascular extracellular volume (Ve), permeability surface area product (PS), extraction fraction, transfer constant (Ktrans), and efflux rate (Kep) between high- and low-risk EC were compared using the Mann–Whitney test. Bland–Altman analysis was utilized to compare parameter consistency and Spearman test to assess parameter correlation. Diagnostic performance of DCE parameters was analyzed by receiver-operating characteristic curve and compared with traditional MRI assessment. Results Fifty-one patients comprised the study group. Patients with high-risk EC exhibited significantly lower Ktrans, Kep, F, Vp and PS (P < 0.001). ET-derived Ktrans and DP-derived F attained AUC of 0.92 and 0.91, respectively. Bland–Altman analysis showed that the consistency of Ve or Vp between the two models was low (P < 0.001) while Spearman test showed a strong correlation (r = 0.719, 0.871). Both Ktrans and F showed higher accuracy in predicting EC risk types than traditional MRI assessment. Conclusions Kinetic parameters derived from DCE-MRI revealed a more hypovascular microenvironment for high risk EC than to low- risk ones, providing potential imaging biomarkers in preoperative risk assessment that might improve individualized surgical planning and management of EC.
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Affiliation(s)
- Zhijun Ye
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Gang Ning
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China.
| | - Xuesheng Li
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Tong San Koh
- Department of Oncologic Imaging, National Cancer Center, Singapore, 169610, Singapore
| | - Huizhu Chen
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Wanjing Bai
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
| | - Haibo Qu
- Department of Radiology, Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, West China Second University Hospital, Sichuan University, No.20, Section 3, Renmin South Road, Chengdu, 610041, Sichuan, China
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11
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Quan Q, Peng H, Gong S, Liu J, Lu Y, Chen R, Mu X. The Preeminent Value of the Apparent Diffusion Coefficient in Assessing High-Risk Factors and Prognosis for Stage I Endometrial Carcinoma Patients. Front Oncol 2022; 12:820904. [PMID: 35251987 PMCID: PMC8888536 DOI: 10.3389/fonc.2022.820904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2021] [Accepted: 01/28/2022] [Indexed: 11/30/2022] Open
Abstract
Objectives To evaluate the role of the apparent diffusion coefficient (ADC) value in the individualized management of stage I endometrial carcinoma (EC). Methods A retrospective analysis was performed on 180 patients with stage I EC who underwent 1.5-T magnetic resonance imaging. The mean ADC (mADC), minimum ADC (minADC), and maximum ADC (maxADC) values of each group were measured and compared. We analyzed the relationship between ADC values and stage I EC prognosis by Kaplan-Meier method and Cox proportional hazards analysis. Results Patients with lower ADC values were more likely to be characterized by higher grades, specific histological subtypes and deeper myometrial invasion. The mADC, minADC and maxADC values (×10-3 mm2/s) were 1.045, 0.809 and 1.339, respectively, in grade 1/2 endometrioid carcinoma with superficial myometrial invasion, which significantly differed from those in grade 3 or nonendometrioid carcinoma or with deep myometrial invasion (0.929, 0.714 and 1.215) (P=<0.001, <0.001 and <0.001). ADC values could be used to predict these clinicopathological factors. Furthermore, the group with higher ADC values showed better disease-free survival and overall survival. Conclusions The present study indicated that ADC values were associated with the high-risk factors for stage I EC and to assess whether fertility-sparing, ovarian preservation or omission of lymphadenectomy represent viable treatment options. Moreover, this information may be applied to predict prognosis. Thus, ADC values could contribute to managing individualized therapeutic schedules to improve quality of life.
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Affiliation(s)
- Quan Quan
- Department of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hui Peng
- The Department of Obstetrics and Gynecology, Chongqing Wansheng Jingkai District Maternal and Child Health Hospital, Chongqing, China
| | - Sainan Gong
- Department of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiali Liu
- Department of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yunfeng Lu
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Rongsheng Chen
- Department of Radiology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Xiaoling Mu
- Department of Gynecology, the First Affiliated Hospital of Chongqing Medical University, Chongqing, China
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12
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Wu C, Tai Y, Shih I, Chiang Y, Chen Y, Hsu H, Cheng W. Preoperative magnetic resonance imaging predicts clinicopathological parameters and stages of endometrial carcinomas. Cancer Med 2022; 11:993-1004. [PMID: 34967506 PMCID: PMC8855918 DOI: 10.1002/cam4.4486] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 10/16/2021] [Accepted: 11/18/2021] [Indexed: 11/30/2022] Open
Abstract
BACKGROUND We investigated the agreement and accuracy of preoperative magnetic resonance imaging (MRI) with postoperative pathological characteristics and stages of endometrial endometrioid carcinoma (EEC). METHODS We recruited 527 women with EEC who underwent staging surgery at a single medical institution. The preoperative MRI, stages, and clinical and pathological parameters, including myometrial invasion (MI), cervical invasion (CI), adnexal metastasis (AM), intra-abdominal metastasis, and pelvic and/or para-aortic nodal metastasis, were recorded and analyzed. The agreement and accuracy between the preoperative MRI findings and these parameters and stages were assessed. RESULTS The rate of the preoperative MRI-based clinical stage matching the postoperative surgical stage was 85.2% in International Federation of Gynecology and Obstetrics stage IA, 51.9% in stage IB, 35.5% in stage II, 5.3% in stage IIIA, 33.3% in stage IIIB, 28.6% in stage IIIC1, 64.3% in stage IIIC2, and 93.8% in stage IVB. The consistency between radiologists and pathologists was 80.5% for deep MI, 91.5% for cervical invasion, 92.2% for adnexal metastasis, 98.9% for intra-abdominal metastasis, and 87.5% and 92.2% for pelvic and para-aortic nodal metastases, respectively. The negative predictive value of intra-abdominal metastasis was the highest with 99.8%. CONCLUSIONS Preoperative MRI could be an excellent tool for routine preoperative assessment to predict pathological parameters and stages of EEC, especially in excluding intra-abdominal metastatic disease.
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Affiliation(s)
- Chia‐Ying Wu
- Department of Obstetrics and GynecologyCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
| | - Yi‐Jou Tai
- Department of Obstetrics and GynecologyCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
- Department of Obstetrics and GynecologyNational Taiwan University HospitalTaipeiTaiwan
| | - I‐Lun Shih
- Department of Medical ImagingCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
| | - Ying‐Cheng Chiang
- Department of Obstetrics and GynecologyCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
- Graduate Institute of Clinical MedicineCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
| | - Yu‐Li Chen
- Department of Obstetrics and GynecologyCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
| | - Heng‐Cheng Hsu
- Department of Obstetrics and GynecologyCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
- Department of Obstetrics and GynecologyNational Taiwan University HospitalXin‐Chu CityTaiwan
| | - Wen‐Fang Cheng
- Department of Obstetrics and GynecologyCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
- Department of Obstetrics and GynecologyNational Taiwan University HospitalTaipeiTaiwan
- Graduate Institute of OncologyCollege of MedicineNational Taiwan UniversityTaipeiTaiwan
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13
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Cui T, Shi F, Gu B, Jin Y, Guo J, Zhang C, Ren J, Yue Y. Peritumoral Enhancement for the Evaluation of Myometrial Invasion in Low-Risk Endometrial Carcinoma on Dynamic Contrast-Enhanced MRI. Front Oncol 2022; 11:793709. [PMID: 35111676 PMCID: PMC8802826 DOI: 10.3389/fonc.2021.793709] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2021] [Accepted: 12/20/2021] [Indexed: 11/19/2022] Open
Abstract
Objectives To explore the clinical value of subendometrial enhancement (SEE), irregular thin-layered peritumoral early enhancement (ITLPE) and focal irregular peritumoral early enhancement (FIPE) on dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) for myometrial invasion in patients with low-risk endometrial carcinoma. Methods Seventy-seven patients with low-risk endometrial carcinoma who preoperatively underwent DCE-MRI were included. Two radiologists independently evaluated and recorded the occurrences of SEE, ITLPE and FIPE on DCE-MRI in all patients. Interobserver agreement was calculated between the two radiologists, and the relationships between SEE, ITLPE, FIPE, and myometrial invasion were analyzed based on histologic findings. For statistically significant findings, the sensitivity and specificity were calculated, and the differences in myometrial invasion evaluations were analyzed. For those with no statistical significance, images were compared with the histopathologic sections. Results Inter-observer agreement was good (k = 0.80; 95%CI, 0.577–0.955) for SEE, and very good (k = 0.88; 95%CI, 0.761–0.972) (k = 0.86; 95%CI, 0.739–0.973) for ITLPE and FIPE. After consensus, SEE was identified in 12/77 (15.6%) patients; ITLPE and FIPE were found in 53/77 (68.8%) and 30/77 (39.0%) patients, respectively. SEE and ITLPE were significantly correlated with myometrial infiltration (P = 0.000), but FIPE were not (P = 0.725).The sensitivity and specificity of SEE and ITLPE for myometrial invasion in patients with low-risk endometrial carcinoma were 95.0 and 52.9%, and 85.0 and 88.0%, respectively. The area under the curve (AUC) of SEE and ITLPE for myometrial invasion were 0.740 (95%CI, 0.584–0.896), and 0.866 (95%CI, 0.763–0.970), respectively. The sensitivity and specificity were statistically different between SEE and ITLPE for the detection of myometrial invasion (P = 0.031, 0.016). According to the comparison between FIPE and histopathologic findings, the irregular endomyometrial junction was found in 30/77 (38.9%) cases, 24/30 (80.0%) with myometrial infiltration and 6/30 (20.0%) cases without myometrial infiltration. Conclusions FIPE was the irregular endomyometrial junction. It can be found in patients with or without myometrial infiltration and may lead to the overestimation of myometrial invasion by SEE on DCE-MRI. ITLPE presented high diagnostic performance and specificity for myometrial invasion in patients with low-risk endometrial carcinoma.
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Affiliation(s)
- Tingting Cui
- Department of MR, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Feng Shi
- Department of Pathology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Bei Gu
- Department of Obstetrics and Gynecology, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Yanfang Jin
- Department of MR, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Jinsong Guo
- Department of MR, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Chao Zhang
- Department of MR, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Jie Ren
- Department of MR, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
| | - Yunlong Yue
- Department of MR, Beijing Shijitan Hospital, Capital Medical University, Beijing, China
- *Correspondence: Yunlong Yue,
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14
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Dybvik JA, Fasmer KE, Ytre-Hauge S, Husby JHA, Salvesen ØO, Stefansson IM, Krakstad C, Trovik J, Haldorsen IS. MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer. Insights Imaging 2022; 13:1. [PMID: 35000020 PMCID: PMC8742796 DOI: 10.1186/s13244-021-01133-z] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2021] [Accepted: 11/23/2021] [Indexed: 12/24/2022] Open
Abstract
OBJECTIVES To explore the diagnostic accuracy of preoperative magnetic resonance imaging (MRI)-derived tumor measurements for the prediction of histopathological deep (≥ 50%) myometrial invasion (pDMI) and prognostication in endometrial cancer (EC). METHODS Preoperative pelvic MRI of 357 included patients with histologically confirmed EC were read independently by three radiologists blinded to clinical information. The radiologists recorded imaging findings (T1 post-contrast sequence) suggesting deep (≥ 50%) myometrial invasion (iDMI) and measured anteroposterior tumor diameter (APD), depth of myometrial tumor invasion (DOI) and tumor-free distance to serosa (iTFD). Receiver operating characteristic (ROC) curves for the prediction of pDMI were plotted for the different MRI measurements. The predictive and prognostic value of the MRI measurements was analyzed using logistic regression and Cox proportional hazard model. RESULTS iTFD yielded highest area under the ROC curve (AUC) for the prediction of pDMI with an AUC of 0.82, whereas DOI, APD and iDMI yielded AUCs of 0.74, 0.81 and 0.74, respectively. Multivariate analysis for predicting pDMI yielded highest predictive value of iTFD < 6 mm with OR of 5.8 (p < 0.001) and lower figures for DOI ≥ 5 mm (OR = 2.8, p = 0.01), APD ≥ 17 mm (OR = 2.8, p < 0.001) and iDMI (OR = 1.1, p = 0.82). Patients with iTFD < 6 mm also had significantly reduced progression-free survival with hazard ratio of 2.4 (p < 0.001). CONCLUSION For predicting pDMI, iTFD yielded best diagnostic performance and iTFD < 6 mm outperformed other cutoff-based imaging markers and conventional subjective assessment of deep myometrial invasion (iDMI) for diagnosing pDMI. Thus, iTFD at MRI represents a promising preoperative imaging biomarker that may aid in predicting pDMI and high-risk disease in EC.
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Affiliation(s)
- Julie Andrea Dybvik
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway. .,Section for Radiology, Department of Clinical Medicine, University of Bergen, Jonas Lies vei 87, 5021, Bergen, Norway.
| | - Kristine E Fasmer
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway.,Section for Radiology, Department of Clinical Medicine, University of Bergen, Jonas Lies vei 87, 5021, Bergen, Norway
| | - Sigmund Ytre-Hauge
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway
| | - Jenny Hild Aase Husby
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway
| | - Øyvind O Salvesen
- Unit for Applied Clinical Research, Department of Public Health and Nursing, Norwegian University of Science and Technology, Post Office Box 8905, 7491, Trondheim, Norway
| | - Ingunn Marie Stefansson
- Department of Pathology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Medicine, University of Bergen, Jonas Lies vei 87, 5021, Bergen, Norway
| | - Camilla Krakstad
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Post Office Box 7804, 5020, Bergen, Norway
| | - Jone Trovik
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Post Office Box 7804, 5020, Bergen, Norway
| | - Ingfrid S Haldorsen
- Mohn Medical Imaging and Visualization Centre (MMIV), Department of Radiology, Haukeland University Hospital, Post Office Box 1400, 5021, Bergen, Norway.,Section for Radiology, Department of Clinical Medicine, University of Bergen, Jonas Lies vei 87, 5021, Bergen, Norway
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15
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Ran C, Sun J, Qu Y, Long N. Clinical value of MRI, serum SCCA, and CA125 levels in the diagnosis of lymph node metastasis and para-uterine infiltration in cervical cancer. World J Surg Oncol 2021; 19:343. [PMID: 34886853 PMCID: PMC8656033 DOI: 10.1186/s12957-021-02448-3] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2021] [Accepted: 11/13/2021] [Indexed: 12/13/2022] Open
Abstract
Background Cervical cancer shows great differences in depth of invasion, metastasis, and other biological behaviors. The location of the lesion is special, so it is usually difficult to determine the clinical stage. This study aimed to explore the clinical value of magnetic resonance imaging (MRI) and tumor serum markers for the preoperative diagnosis of cervical cancer lymph node metastasis and para-uterine invasion. Methods A total of 200 patients with cervical cancer admitted to our hospital from January 2019 to January 2020 were collected as the research subjects. Comparing the diagnosis results of preoperative MRI scan, serum tumor markers, and postoperative pathological examination using single factor comparison, we determined the MRI scan results, the comprehensive matching rate between serum tumor markers (squamous cell carcinoma antigen (SCCA), carbohydrate antigen 125 (CA125)) and postoperative pathological results, and the differences of sensitivity, specificity, and accuracy in the prediction of lymph node metastasis and para-uterine infiltration of cervical cancer. Results The levels of SCCA and CA125 in patients with para-uterine invasion and lymph node metastasis were higher than those of patients without invasion and metastasis. Among them, the level of SCCA was significantly different (P<0.05). The level of CA125 was not statistically significant (P>0.05), so MRI combined with serum SCCA was selected for combined diagnosis in the later period. The sensitivity, specificity, and accuracy of MRI diagnosis of cervical cancer and para-uterine infiltrating lymph node metastasis and metastasis were 55.2, 91.6, and 89.5% and 55.2, 91.6, and 89.5%, respectively. These data in MRI combined with serum SCCA were 76.3, 95.3, and 94.3% and 63.2, 96.0, and 95.1%, respectively. The accuracy of tumor markers combined with MRI in the diagnosis of cervical cancer lymph node metastasis and para-uterine invasion was higher than that of MRI. Conclusions MRI combined with serum SCCA can more accurately identify cervical cancer lymph node metastasis and para-uterine invasion compared with MRI alone. Tumor marker combined with MRI diagnosis is an important auxiliary method for cervical cancer treatment and can provide comprehensive and reliable clinical evidence for evaluation before cervical cancer surgery.
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Affiliation(s)
- Chao Ran
- Department of Medical Imaging, Affiliated Yantai Yuhuangding Hospital of Qingdao University, No.20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - Jian Sun
- Department of Medical Imaging, Affiliated Yantai Yuhuangding Hospital of Qingdao University, No.20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - Yunhui Qu
- Department of Medical Imaging, Affiliated Yantai Yuhuangding Hospital of Qingdao University, No.20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China
| | - Na Long
- Department of Medical Imaging, Affiliated Yantai Yuhuangding Hospital of Qingdao University, No.20 Yuhuangding East Road, Zhifu District, Yantai, 264000, China.
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16
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Synergic role of preoperative 18F-fluorodeoxyglucose PET and MRI parameters in predicting histopathological features of endometrial cancer. Nucl Med Commun 2021; 41:1073-1080. [PMID: 32925826 DOI: 10.1097/mnm.0000000000001257] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
BACKGROUND The aim of the present study is to explore the correlation between PET and MRI parameters of primary tumour and clinicopathological features and to determine their synergic predictive role in patients with endometrial cancer candidate to surgery. METHODS Retrospective study including 27 patients with endometrial cancer and preoperative 18F-fluorodeoxyglucose (18F-FDG)-PET and MRI scan. The following parameters, calculated on the primary tumour, were used for analysis: maximum standardized uptake value (SUVmax), SUVmean, metabolic tumour volume (MTV) and total lesion glycolysis (TLG) for PET scans; mean apparent diffusion coefficient (ADCmean) and volume index for MRI scans. FIGO stage, grade, histotype, lymphovascular space invasion (LVSI) and myometrial invasion were the considered clinicopathological features. RESULTS MRI volume index was a good predictor for deep myometrial invasion [area under the curve (AUC) = 0.85; P = 0.003] and for LVSI (AUC = 0.74; P = 0.039). A cutoff value of 9.555 for MRI volume index was predictive for deep myometrial invasion (sensitivity = 84.6%; specificity = 76.9%); a cutoff of 12.165 was predictive for LVSI (sensitivity = 69.2%; specificity = 83.3%). A TLG cutoff value of 26.03 was predictive for deep myometrial invasion (sensitivity = 84.6%; specificity = 76.9%). A high-direct correlation was found with MRI volume index (rho = 0.722; P < 0.001); low-direct correlation with SUVmax (rho = 0.484; P = 0.012), SUVmean (rho = 0.47; P = 0.015) and TLG (rho = 0.482; P = 0.013) were identified. The SUVmax/ADCmean ratio showed a low-direct correlation with percentage of myometrial invasion (rho = 0.467; P = 0.016). CONCLUSION Volume index, TLG and SUVmax/ADCmean ratio are associated with deep myometrial invasion. As myometrial invasion is the index used to predict lymph node involvement in endometrial cancer, the synergic use of these imaging parameters may be suggested to predict lymphnodal metastases.
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17
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Quan Q, Lu Y, Xuan B, Wu J, Yin W, Hua Y, Chen R, Ren S, Zhou S, Zhang F, Meng Y, Rao K, Mu X. The prominent value of apparent diffusion coefficient in assessing high-risk factors and prognosis for patients with endometrial carcinoma before treatment. Acta Radiol 2021; 62:830-838. [PMID: 32702999 DOI: 10.1177/0284185120940271] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
BACKGROUND To date, there are no consensus methods to evaluate the high-risk factors and prognosis for managing the personalized treatment schedule of patients with endometrial carcinoma (EC) before treatment. Apparent diffusion coefficient (ADC) is regarded as a kind of technique to assess heterogeneity of malignant tumor. PURPOSE To explore the role of ADC value in assessing the high-risk factors and prognosis of EC. MATERIAL AND METHODS A retrospective analysis was made on 185 patients with EC who underwent 1.5-T magnetic resonance imaging (MRI). Mean ADC (mADC), minimum ADC (minADC), and maximum ADC (maxADC) were measured and compared in different groups. RESULTS Among the 185 patients with EC, the mADC and maxADC values in those with high-risk factors (type 2, deep myometrial invasion, and lymph node metastasis) were significantly lower than in those without. According to receiver operating characteristic (ROC) curve analysis, the areas under the curve (AUC) were significant for mADC, minADC, and maxADC predicting high-risk factors. Furthermore, the AUCs were significant for mADC and maxADC predicting lymph node metastasis but were not significant for minADC. Patients with lower mADC were associated with worse overall survival and disease-free survival; the opposite was true for patients with higher mADC. CONCLUSION Our study showed that ADC values could be applied to assess the high-risk factors of EC before treatment and might significantly relate to the prognosis of EC. It might contribute to managing initial individualized treatment schedule and improve outcome in patients with EC.
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Affiliation(s)
- Quan Quan
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Yunfeng Lu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Beibei Xuan
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Jingxian Wu
- Department of Pathology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Wanchun Yin
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Yi Hua
- Children’s Hospital of Chongqing Medical University, Chongqing, PR China
| | - Rongsheng Chen
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Siling Ren
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Shuwei Zhou
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Fenfen Zhang
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Yu Meng
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
| | - Kunying Rao
- Department of Obstetrics and Gynecology, Chongqing Yubei District People’s Hospital, Chongqing, PR China
| | - Xiaoling Mu
- Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Yuanjiagang, Yuzhong District, Chongqing, PR China
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18
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Predictive value of T2-weighted imaging and dynamic contrast-enhanced MRI for assessing cervical invasion in patients with endometrial cancer: a meta-analysis. Clin Imaging 2021; 78:206-213. [PMID: 34049140 DOI: 10.1016/j.clinimag.2021.05.014] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/08/2020] [Revised: 04/30/2021] [Accepted: 05/10/2021] [Indexed: 11/22/2022]
Abstract
PURPOSE To obtain the diagnostic accuracy of T2-weighted imaging (T2WI), and dynamic contrast-enhanced MRI (DCE-MRI) in the preoperative assessment of cervical invasion in patients with endometrial cancer (EC). METHODS Databases including PubMed, Embase, Cochrane Library, Web of Science, and Clinical Trials were searched for relevant articles published from January 2000 to August 2020. Pooled estimation data were obtained by statistical analysis. RESULTS In total, 24 articles were included. For assessing cervical invasion of EC, the pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), diagnostic odds ratio (DOR), and area under the curve (AUC) for T2WI were 0.70 (0.61-0.77), 0.92 (0.89-0.94), 8.7 (6.5-11.6), 0.33 (0.25-0.43), 26 (17-41), and 0.92 (0.89-0.94), respectively. For DCE-MRI, the pooled sensitivity, specificity, PLR, NLR, DOR, and AUC were 0.75 (0.60-0.85), 0.95 (0.89-0.98), 14.7 (6.6-32.9), 0.27 (0.16-0.44), 55 (18-165), and 0.92 (0.89-0.94), respectively; for T2WI combined with DCE-MRI, they were 0.58 (0.41-0.73), 0.98 (0.95-0.99), 28.1 (12.8-62.1), 0.43 (0.30-0.63), 65 (29-146), and 0.94 (0.91-0.96), respectively. CONCLUSIONS DCE-MRI demonstrated higher diagnostic performance than T2WI in the prediction of cervical invasion in patients with EC. T2WI combined with DCE-MRI improved the pooled specificity, PLR, DOR, and AUC compared to T2WI alone or DCE-MRI alone.
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19
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Ferrero A, Novara L, Perotto S, Capece R, Petey F, Perrini G, Mariani LL, DE Rosa G, Biglia N, Fuso L. Could a 2D/3D US based model be helpful in the assessment of myometrial invasion at time of intraoperative frozen section? A pilot study. Minerva Obstet Gynecol 2021; 73:362-368. [PMID: 34008391 DOI: 10.23736/s2724-606x.21.04777-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Abstract
BACKGROUND The assessment of myometrial invasion is a pivotal step in the preoperative staging of endometrial cancer. Intraoperative frozen section (FS) represents a reliable tool in directing surgeon's choices. Preoperative transvaginal ultrasound (US) showed high accuracy in evaluating myometrial invasion. This study aimed to understand if the application of a standardized ultrasonographic protocol for the pre-operative evaluation of myometrial invasion can help pathologists in improving the accuracy of FS. Furthermore, the agreement between US and FS in the assessment of myometrial invasion was assessed. METHODS Sixty-six patients who underwent surgery for endometrial cancer were analyzed. Preoperative 2D/3D ultrasound was performed in all the patients. Myometrial invasion was estimated by subjective assessment and objective measurement techniques. Data from US were reported to pathologists through a prefilled form with depth and site of the maximum myometrial invasion. Diagnostic performance of US and FS were compared having the definitive histological examination as the gold standard. RESULTS Influenced by the information given by our 3D US-model, FS showed a 90% sensitivity and a 93% specificity, with a 93% PPV and an 89% NPV. The agreement with histology was strong (K=0.824). Myometrial invasion was missed at the level of the isthmus by FS just in one case. Subjective assessment was confirmed as the most reliable ultrasonographic technique in assessing myometrial invasion, with 90% sensitivity, 78% specificity, 80% PPV and 89% NPV. The agreement with histology was substantial (K=0.68). CONCLUSIONS The application of a preoperative 2D/3D US assessment would seem to help pathologists in detecting myometrial invasion in difficult areas of the uterus such as the isthmus, reducing downstaging and overtreatment.
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Affiliation(s)
- Annamaria Ferrero
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy
| | - Lorenzo Novara
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy
| | - Stefania Perotto
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy
| | - Roberto Capece
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy
| | - Francesca Petey
- Department of Obstetrics and Gynecology SC2U, Sant'Anna Hospital, Turin, Italy
| | - Gaetano Perrini
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy
| | - Luca L Mariani
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy
| | | | - Nicoletta Biglia
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy -
| | - Luca Fuso
- Department of Obstetrics and Gynecology, Mauriziano Hospital, Turin, Italy
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20
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Daix M, Angeles MA, Migliorelli F, Kakkos A, Martinez Gomez C, Delbecque K, Mery E, Tock S, Gabiache E, Decuypere M, Goffin F, Martinez A, Ferron G, Kridelka F. Concordance between preoperative ESMO-ESGO-ESTRO risk classification and final histology in early-stage endometrial cancer. J Gynecol Oncol 2021; 32:e48. [PMID: 33908709 PMCID: PMC8192240 DOI: 10.3802/jgo.2021.32.e48] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2020] [Revised: 01/22/2021] [Accepted: 02/06/2021] [Indexed: 01/04/2023] Open
Abstract
Objective To evaluate the concordance between preoperative European Society for Medical Oncology (ESMO)-European Society of Gynaecological Oncology (ESGO)-European SocieTy for Radiotherapy and Oncology (ESTRO) risk classification in early-stage endometrial cancer (EC) assessed by biopsy and magnetic resonance imaging (MRI) with this classification based on histology of surgical specimen. Methods This bicentric retrospective study included women diagnosed with early-stage EC (≤stage II) who had a complete preoperative assessment and underwent a surgical management from January 2011 to December 2018. Patients were preoperatively classified into 3 degrees of risk of lymph node (LN) involvement based on biopsy and MRI. Based on final histological report, patients were re-classified using the preoperative classification. Concordance between the preoperative assessment and definitive histology was calculated with weighted Cohen's kappa coefficient. Results A total of 333 women were included and kappa coefficient of preoperative risk classification was 0.49. The risk was underestimated and overestimated in 37% and 10% of cases, respectively. Twenty-nine percent of patients had an incomplete LN staging according to the degree of risk of re-classification. The observed discordance in the risk classification was attributed to MRI in 75% of cases, to biopsy in 18% and in 7% to both (p<0.001). Kappa coefficient for concordance was 0.25 for MRI and 0.73 for biopsy. Conclusion Concordance between preoperative ESMO-ESGO-ESTRO risk classification and final histology is weak. Given that the risk was underestimated in the majority of patients wrongly classified, sentinel LN procedure instead of no LN dissection could be an option offered to preoperative low-risk patients to decrease the indication of second surgery for re-staging and/or to avoid toxicity of adjuvant radiotherapy.
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Affiliation(s)
- Manon Daix
- Department of Surgical Oncology, Institut Universitaire du Cancer de Toulouse - Institut Claudius Regaud, Oncopole, Toulouse, France.,Department of Gynecology, Centre Hospitalier Universitaire, Liège, Belgium.,Department of Gynecology, Centre Hospitalier Chrétien - Mont Légia, Liège, Belgium.
| | - Martina Aida Angeles
- Department of Surgical Oncology, Institut Universitaire du Cancer de Toulouse - Institut Claudius Regaud, Oncopole, Toulouse, France
| | - Federico Migliorelli
- Department of Gynecology, Centre Hospitalier Intercommunal des Vallées de l'Ariège, Saint Jean de Verges, France
| | - Athanasios Kakkos
- Department of Gynecology, Centre Hospitalier Universitaire, Liège, Belgium
| | - Carlos Martinez Gomez
- Department of Surgical Oncology, Institut Universitaire du Cancer de Toulouse - Institut Claudius Regaud, Oncopole, Toulouse, France.,Inserm CRCT, Toulouse, France
| | - Katty Delbecque
- Department of Pathology, Centre Hospitalier Universitaire, Liège, Belgium
| | - Eliane Mery
- Department of Pathology, Institut Universitaire du Cancer de Toulouse - Institut Claudius Regaud, Oncopole, Toulouse, France
| | - Stéphanie Tock
- Department of Gynecology, Centre Hospitalier Chrétien - Mont Légia, Liège, Belgium
| | - Erwan Gabiache
- Department of Medical Imaging, Institut Universitaire du Cancer de Toulouse - Institut Claudius Regaud, Oncopole, Toulouse, France
| | | | - Frédéric Goffin
- Department of Gynecology, Centre Hospitalier Universitaire, Liège, Belgium
| | - Alejandra Martinez
- Department of Surgical Oncology, Institut Universitaire du Cancer de Toulouse - Institut Claudius Regaud, Oncopole, Toulouse, France.,Inserm CRCT, Toulouse, France
| | - Gwénaël Ferron
- Department of Surgical Oncology, Institut Universitaire du Cancer de Toulouse - Institut Claudius Regaud, Oncopole, Toulouse, France.,Inserm CRCT, Toulouse, France
| | - Frédéric Kridelka
- Department of Gynecology, Centre Hospitalier Universitaire, Liège, Belgium
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21
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Bús D, Nagy G, Póka R, Vajda G. Clinical Impact of Preoperative Magnetic Resonance Imaging in the Evaluation of Myometrial Infiltration and Lymph-Node Metastases in Stage I Endometrial Cancer. Pathol Oncol Res 2021; 27:611088. [PMID: 34257578 PMCID: PMC8262156 DOI: 10.3389/pore.2021.611088] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2020] [Accepted: 03/01/2021] [Indexed: 11/13/2022]
Abstract
Abstract: Purpose: In the developed world, endometrial cancer is one of the most common malignant gynecological cancer types. Due to the highly available diagnostic modalities and patient education, the early detection of the tumor leads to high overall survival. Methods: In this study we analyzed the reliability of preoperative MRI findings in the staging of early stage endometrial cancer, as well as the clinical characteristics of patients underwent radical hysterectomy and the histopathologic evaluation of their tumor, with the retrospective data of radical hysterectomies performed in our hospital between 2010 and 2019. Results: The accuracy, sensitivity, specificity, negative- and positive predictive value of MRI regarding stage were 94.7, 63.3, 94.8, 83.8, and 83.8%, respectively. The accuracy, sensitivity, specificity, negative- and positive predictive value of MRI for the detection of the myometrial invasion were 69.8, 80.0, 60.8, 64.3, and 77.5%, respectively. The accuracy, sensitivity, specificity, negative- and positive predictive value of MRI for the detection of lymph node metastases were 78.1, 28.6, 82, 11.1, and 93.6%, respectively. Conclusions: Based on our results, MRI is the method of choice in terms of evaluating overall staging, as well as myometrial invasion, as its specificity and negative predictive value are relatively high. However, systematic lymphadenectomy showed improved cancer-related survival and recurrence-free survival. Our studies showed that the diagnosis of lymph node metastases is difficult with MRI modality since hyperplastic and metastatic nodes cannot easily differentiate, leading to a high percentage of false-positive results. Therefore, other imaging modalities may be used for more accurate evaluation. New findings of our study were that the role of the radiologist’s expertise in the evaluation of MR imaging plays an essential role in lowering false-negative and false-positive results. Therefore, findings evaluated by a radiologist with high-level expertise in gynecological imaging can complement the clinical findings and help substantially define the needed treatment.
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Affiliation(s)
- Dorottya Bús
- Department of Obstetrics and Gynecology, Zala County Saint Rafael Hospital, Zalaegerszeg, Hungary
| | - Gyöngyi Nagy
- Department of Radiology, Zala County Saint Rafael Hospital, Zalaegerszeg, Hungary
| | - Róbert Póka
- Clinic of Obstetrics and Gynecology, University of Debrecen, Debrecen, Hungary
| | - György Vajda
- Faculty of Health Sciences, University of Pécs, Pecs, Hungary
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22
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Can the Determination of HE4 and CA125 Markers Affect the Treatment of Patients with Endometrial Cancer? Diagnostics (Basel) 2021; 11:diagnostics11040626. [PMID: 33807168 PMCID: PMC8065496 DOI: 10.3390/diagnostics11040626] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 03/23/2021] [Accepted: 03/28/2021] [Indexed: 01/13/2023] Open
Abstract
The aim of our research was to determine the use of CA125 and HE4 as prognostic factors in patients with different clinical staging of endometrial cancer. Sixty-two patients with advanced endometrial cancer and 287 patients with early stage endometrial cancer participated in the study. Based on the results obtained in the study, the cut-off value for HE4 was established at 186 pmol/l and correlated with the possibility of cytoreductive surgery in patients with recurrent endometrial cancer. Univariate logistic regression revealed that serum concentrations for the median CA125 correlated with DFS (HR = 1.76, p = 0.033) and OS (HR = 1.42, p = 0.025), while the median of HE4 marker correlated with DFS (HR = 1.96, p = 0.015) and OS (HR = 1.83, p = 0.004). In the multivariate analysis, a decrease in CA125 level below normal range correlated positively with DFS and OS (HR = 1.45, p = 0.026; HR = 1.38, p = 0.037). HE4 levels correlated with DFS as follows: values below the normal range (HR = 2.31, p = 0.01), and with OS (HR = 1.89, p = 0.004). Based on the results obtained in the study, we found that HE4 is a sensitive tool for predicting the risk of recurrence and overall survival in patients with endometrial cancer.
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23
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Budak A, Beyan E, Inan AH, Kanmaz AG, Aldemir OS, Oral A, Yazici B, Akgün A, Ozeren M. PET Parameters are Useful in Predicting Endometrial Cancer Risk Classes and Prognosis. Nuklearmedizin 2021; 60:16-24. [PMID: 33105511 DOI: 10.1055/a-1267-8976] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
AIM We investigate the role of preoperative PET parameters to determine risk classes and prognosis of endometrial cancer (EC). METHODS We enrolled 81 patients with EC who underwent preoperative F-18 FDG PET/CT. PET parameters (SUVmax, SUVmean, MTV, TLG), grade, histology and size of the primary tumor, stage of the disease, the degree of myometrial invasion (MI), and the presence of lymphovascular invasion (LVI), cervical invasion (CI), distant metastasis (DM) and lymph node metastasis (LNM) were recorded. The relationship between PET parameters, clinicopathological risk factors and overall survival (OS) was evaluated. RESULTS The present study included 81 patients with EC (mean age 60). Of the total sample, 21 patients were considered low risk (endometrioid histology, stage 1A, grade 1 or 2, tumor diameter < 4 cm, and LVI negative) and 60 were deemed high risk. All of the PET parameters were higher in the presence of a high-risk state, greater tumor size, deep MI, LVI and stage 1B-4B. MTV and TLG values were higher in the patients with non-endometrioid histology, CI, grade 3 and LNM. The optimum cut-off levels for differentiating between the high and low risk patients were: 11.1 for SUVmax (AUC = 0.757), 6 for SUVmean (AUC = 0.750), 6.6 for MTV(AUC = 0.838) and 56.2 for TLG(AUC = 0.835). MTV and TLG values were found as independent prognostic factors for OS, whereas SUVmax and SUVmean values were not predictive. CONCLUSIONS The PET parameters are useful in noninvasively differentiating between risk groups of EC. Furthermore, volumetric PET parameters can be predictive for OS of EC.
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Affiliation(s)
- Adnan Budak
- Department of Obstetrics and Gynecology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey
| | - Emrah Beyan
- Department of Obstetrics and Gynecology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey
| | - Abdurrahman Hamdi Inan
- Department of Obstetrics and Gynecology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey
| | - Ahkam Göksel Kanmaz
- Department of Obstetrics and Gynecology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey
| | | | - Aylin Oral
- Department of Nuclear Medicine, Ege University, Izmir, Turkey
| | - Bulent Yazici
- Department of Nuclear Medicine, Ege University, Izmir, Turkey
| | - Ayşegül Akgün
- Department of Nuclear Medicine, Ege University, Izmir, Turkey
| | - Mehmet Ozeren
- Department of Obstetrics and Gynecology, Izmir Tepecik Training and Research Hospital, Izmir, Turkey
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24
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Bi Q, Bi G, Wang J, Zhang J, Li H, Gong X, Ren L, Wu K. Diagnostic Accuracy of MRI for Detecting Cervical Invasion in Patients with Endometrial Carcinoma: A Meta-Analysis. J Cancer 2021; 12:754-764. [PMID: 33403033 PMCID: PMC7778546 DOI: 10.7150/jca.52797] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/03/2020] [Accepted: 11/02/2020] [Indexed: 02/05/2023] Open
Abstract
Objectives: To evaluate the diagnostic accuracy of magnetic resonance imaging (MRI) in the preoperative assessment of cervical invasion and to analyse the influence of different imaging protocols in patients with endometrial carcinoma. Methods: An extensive search of articles about MRI for assessing cervical invasion in patients with endometrial carcinoma was performed on PubMed, Embase, Web of Science, Cochrane Library, and Clinical Trials from January 2000 to July 2020. Two reviewers independently evaluated the methodological quality of each study by using the Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2). Diagnostic accuracy results and additional useful information were extracted. The pooled estimation data was obtained by statistical analysis. Results: A total of 42 eligible studies were included in the meta-analysis. Significant evidence of heterogeneity was found for detecting cervical invasion (I2 = 74.1%, P = 0.00 for sensitivity and I2 = 56.2%, P = 0.00 for specificity). The pooled sensitivity and specificity of MRI were 0.58 and 0.95 respectively. The use of higher field strength (3.0 T) demonstrated higher pooled sensitivity (0.74). Using diffusion weighted imaging (DWI) alone presented higher pooled sensitivity (0.86) than using other sequences. The studies that used dynamic contrast-enhanced MRI (DCE-MRI) alone showed higher sensitivity (0.80) and specificity (0.96) than those that used T2-weighted imaging (T2WI) alone. Conclusions: MRI shows high specificity for detecting cervical infiltration in endometrial carcinoma. Using DWI or a 3.0-T device may improve the pooled sensitivity. DCE-MRI demonstrates higher pooled sensitivity and specificity than T2WI.
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Affiliation(s)
- Qiu Bi
- Department of MRI, the First People' s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming 650032, Yunnan, China
| | - Guoli Bi
- Department of MRI, the First People' s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming 650032, Yunnan, China
| | - Junna Wang
- Center of Infectious Diseases, West China Hospital of Sichuan University, No. 37 Guoxue Lane, Wuhou District, Chengdu 610041, Sichuan, China
| | - Jie Zhang
- Department of MRI, the First People' s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming 650032, Yunnan, China
| | - Hongliang Li
- Department of MRI, the First People' s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming 650032, Yunnan, China
| | - Xiarong Gong
- Department of MRI, the First People' s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming 650032, Yunnan, China
| | - Lixiang Ren
- Department of MRI, the First People' s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming 650032, Yunnan, China
| | - Kunhua Wu
- Department of MRI, the First People' s Hospital of Yunnan Province, the Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming 650032, Yunnan, China
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25
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Reinhold C, Ueno Y, Akin EA, Bhosale PR, Dudiak KM, Jhingran A, Kang SK, Kilcoyne A, Lakhman Y, Nicola R, Pandharipande PV, Paspulati R, Shinagare AB, Small W, Vargas HA, Whitcomb BP, Glanc P. ACR Appropriateness Criteria® Pretreatment Evaluation and Follow-Up of Endometrial Cancer. J Am Coll Radiol 2020; 17:S472-S486. [PMID: 33153558 DOI: 10.1016/j.jacr.2020.09.001] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2020] [Accepted: 09/01/2020] [Indexed: 11/19/2022]
Abstract
To date, there is little consensus on the role of pelvic imaging in assessing local disease extent during initial staging in patients with endometrial carcinoma, with practices differing widely across centers. However, when pretreatment assessment of local tumor extent is indicated, MRI is the preferred imaging modality. Preoperative imaging of endometrial carcinoma can define the extent of disease and indicate the need for subspecialist referral in the presence of deep myometrial invasion, cervical extension, or suspected lymphadenopathy. If distant metastatic disease is clinically suspected, preoperative assessment with cross-sectional imaging or PET/CT may be performed. However, most patients with low-grade disease are at low risk of lymph node and distant metastases. Thus, this group may not require a routine pretreatment evaluation for distant metastases. Recurrence rates in patients with endometrial carcinoma are infrequent. Therefore, radiologic evaluation is typically used only to investigate suspicion of recurrent disease due to symptoms or physical examination and not for routine surveillance after treatment. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Yoshiko Ueno
- Research Author, Kobe University Graduate School of Medicine, Kobe, Japan, McGill University, Montreal, Quebec, Canada
| | - Esma A Akin
- George Washington University Hospital, Washington, District of Columbia
| | | | | | - Anuja Jhingran
- The University of Texas MD Anderson Cancer Center, Houston, Texas
| | - Stella K Kang
- New York University Medical Center, New York, New York
| | | | - Yulia Lakhman
- Memorial Sloan Kettering Cancer Center, New York, New York
| | - Refky Nicola
- Roswell Park Cancer Institute, Jacobs School of Medicine and Biomedical Science, Buffalo, New York
| | | | - Rajmohan Paspulati
- University Hospitals Medical Group Radiology, Cleveland, Ohio, Case Western Reserve University School of Medicine, Cleveland, Ohio
| | - Atul B Shinagare
- Brigham & Women's Hospital Dana-Farber Cancer Institute, Boston, Massachusetts
| | - William Small
- Stritch School of Medicine Loyola University Chicago, Maywood, Illinois
| | | | - Bradford P Whitcomb
- University of Connecticut, Farmington, Connecticut; Society of Gynecologic Oncology
| | - Phyllis Glanc
- Specialty Chair, University of Toronto and Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada
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26
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Fernández-Mercado RS, Miranda-Mejía MA, Fletcher-Prieto AV, Rodríguez-Gallego JA, Mora-Padilla E, Orostegui-Correa S, González-Rubio de la Hoz Á, Vallejo-Bertel CA, Sáenz-Salazar J, Fernández-Cásseres MA, Flórez-Lozano KC, Navarro-Lechuga É. [Prevalence of lymph node involvement in patients with endometrial cancer, Colombia 2009-2016: Exploratory analysis of associated factors]. ACTA ACUST UNITED AC 2020; 71:103-114. [PMID: 32770870 DOI: 10.18597/rcog.3450] [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: 11/27/2019] [Accepted: 05/05/2020] [Indexed: 12/24/2022]
Abstract
OBJECTIVE To determine the prevalence of lymph node involvement in patients with endometrial cancer and to explore factors associated with lymph node invasion. METHODS Prevalence study with exploratory analysis. The study included patients with endometrial cancer who underwent total abdominal hysterectomy plus bilateral salpyingooophorectomy and pelvic lymphadenectomy with or without para-aortic lymphadenectomy in seven oncology centers in Colombia between 2009 and 2016. Patients who had received prior radiotherapy or chemotherapy, with a histological diagnosis of neuroendocrine tumors, carcinosarcomas or synchronous or metachronous lesions were excluded. Non-probabilistic sampling. Sample size n=290. Measured variables: sociodemographic, clinical and histopathological, and pelvic or para-aortic lymph node involvement. The prevalence for the period is presented. The exploratory analysis was conducted using crude odds ratio (OR) and adjusted OR by means of a multivariate model (unconditional logistic regression). RESULTS Overall, 467 cases were retrieved. Of them, 163 were excluded because of non-availability of all the variables. In total, 304 patients were studied. The prevalence of lymph node involvement was 15.8 % (48/304). In the crude and adjusted analysis, factors associated with lymph node involvement were lymphovascular invasion (adjusted OR: 9.32; 95 % CI 4.27-21.15) and myometrial invasion (adjusted OR: 3.95; 95 % CI 1.29-14.98). CONCLUSIONS Of the patients undergoing lymphadenectomy, 15 % have lymph node involvement. Less invasive diagnostic options than radical surgery to ascertain lymph node invasion should be assessed.
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27
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Revels JW, Dey CB, Aggarwal A, London SS, Katz D, Menias C, Moshiri M. More Than Just 2 Layers: A Comprehensive Multimodality Imaging Review of Endometrial Abnormalities. Curr Probl Diagn Radiol 2019; 49:431-446. [PMID: 31307863 DOI: 10.1067/j.cpradiol.2019.06.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2019] [Revised: 06/06/2019] [Accepted: 06/25/2019] [Indexed: 11/22/2022]
Abstract
Endometrial abnormalities develop in female patients of all ages. Symptoms related to endometrial pathologies are among the most common causes of gynecologist office visits, with the radiologists playing an important role in endometrial evaluation. In some instances, the radiologist may be the first physician to note endometrial pathology. In this article, we will provide a comprehensive review of radiologic modalities utilized in the evaluation of the endometrium, as well as the imaging appearance of various endometrial disease processes.
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Affiliation(s)
| | - Courtney B Dey
- Department of Radiology, Eastern Virginia Medical School, Sentara Norfolk General Hospital, Norfolk, VA
| | - Abhi Aggarwal
- Department of Radiology, Eastern Virginia Medical School, Sentara Norfolk General Hospital, Norfolk, VA
| | - Sean S London
- Department of Radiology, University of Washington, Seattle, WA
| | - Douglas Katz
- Department of Radiology, NYU Winthrop Hospital, Mineola, NY
| | | | - Mariam Moshiri
- Department of Radiology, University of Washington, Seattle, WA
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28
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Shen Y, Lv F, Xiao Z, Bi Q. Utility of the relative apparent diffusion coefficient for preoperative assessment of low risk endometrial carcinoma. Clin Imaging 2019; 56:28-32. [PMID: 30851496 DOI: 10.1016/j.clinimag.2019.03.001] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2019] [Revised: 02/11/2019] [Accepted: 03/01/2019] [Indexed: 10/27/2022]
Abstract
OBJECTIVES Lymphadenectomy is not recommended for low risk stage I endometrial carcinoma (EC) patients. This study was to investigate the predictive value of apparent diffusion coefficient (ADC) values in predicting patients with low risk EC, and to identify an optimum ADC measurement for preoperative assessment. MATERIALS AND METHODS Eighty-one patients with stage I EC who underwent diffusion-weighted imaging (DWI) at 1.5T were included and divided into low group and intermediate-high risk group based on the ESMO-ESGO-ESTRO classification. Clinical indexes, conventional MRI parameters, minimum ADC values (minADC), mean ADC values (meanADC) and relative ADC values (rADC) were compared between those two groups. rADC was calculated using the equation ADC (cancer)/ADC (reference) with the obturator internus muscle as reference. The optimal ADC measurement and cut-off ADC value for low risk EC were calculated using the receiver operating characteristic (ROC) curve. RESULTS The low risk group had significantly higher meanADC, minADC, and rADC values than did the intermediate-high risk group (1.095 vs. 0.902 × 10-3 mm2/s, 0.755 vs. 0.657 × 10-3 mm2/s, 0.754 vs. 0.603, respectively). In assessments of low risk EC patients, the area under the curve (AUC) values for meanADC, minADC, and rADC were 0.840 (95%CI, 0.749,0.931), 0.681 (95% CI: 0.561,0.800), and 0.876(95% CI: 0.798,0.954), respectively. The optimal cut-off rADC value for prediction was 0.669, the maximum Youden index, sensitivity, specificity, and accuracy values were 0.683, 81.8%, 86.5%, and 84.0%, respectively. CONCLUSIONS rADC is superior to minADC and meanADC for predicting patients with low risk EC, and could potentially aid to the surgical management of these patients in avoiding unnecessary lymphadenectomy.
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Affiliation(s)
- Yiqing Shen
- Department of Radiology, the First Affiliated Hospital of Chongqing, Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing 400016, China
| | - Fajin Lv
- Department of Radiology, the First Affiliated Hospital of Chongqing, Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing 400016, China.
| | - Zhibo Xiao
- Department of Radiology, the First Affiliated Hospital of Chongqing, Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing 400016, China
| | - Qiu Bi
- Department of Radiology, the First Affiliated Hospital of Chongqing, Medical University, No. 1 Youyi Road, Yuanjiagang, Yuzhong District, Chongqing 400016, China
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29
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A Prospective Observational Study Evaluating the Accuracy of MRI in Predicting the Extent of Disease in Endometrial Cancer. Indian J Surg Oncol 2018; 10:220-224. [PMID: 30948904 DOI: 10.1007/s13193-018-0832-9] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/09/2018] [Accepted: 11/13/2018] [Indexed: 10/27/2022] Open
Abstract
This prospective study looks into the accuracy of magnetic resonance imaging (MRI) in predicting the depth of MI, cervical invasion, lymph node metastasis, and extrauterine spread (EUS) of disease in endometrial cancer. Between June 2014 and December 2015, 58 patients with biopsy-proven endometrial cancer who underwent MRI prior to surgery were included in the study. MRI findings like myometrial invasion, extrauterine spread, lymph nodal metastasis, and cervical invasion were compared against the histopathology report. Sensitivity, specificity, PPV, NPV, and overall accuracy of MRI for myometrial depth assessment were 75.0%, 73.08%, 77.2%, 70.37%, and 74.14 respectively. Sensitivity, specificity, PPV, NPV, and overall accuracy of MRI in assessing lymph node spread were 88.64%, 66.67%, 95.12%, 44.44%, and 86.0% respectively. As for predicting extrauterine spread and cervical invasion, MRI showed poor sensitivity (37.5% and 50% respectively) and a high specificity (92% and 100% respectively). Our study shows that preoperative MRI has high sensitivity and specificity to predict myometrial invasion and lymph node involvement. But, it is not sensitive enough to predict cervical involvement or extrauterine spread.
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30
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Vieillefosse S, Huchon C, Chamming's F, Le Frère-Belda MA, Fournier L, Ngô C, Lécuru F, Bats AS. Assessment of different pre and intra-operative strategies to predict the actual ESMO risk group and to establish the appropriate indication of lymphadenectomy in endometrial cancer. J Gynecol Obstet Hum Reprod 2018; 47:517-523. [DOI: 10.1016/j.jogoh.2018.08.011] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Revised: 08/04/2018] [Accepted: 08/20/2018] [Indexed: 10/28/2022]
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31
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Ytre-Hauge S, Dybvik JA, Lundervold A, Salvesen ØO, Krakstad C, Fasmer KE, Werner HM, Ganeshan B, Høivik E, Bjørge L, Trovik J, Haldorsen IS. Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. J Magn Reson Imaging 2018; 48:1637-1647. [PMID: 30102441 DOI: 10.1002/jmri.26184] [Citation(s) in RCA: 88] [Impact Index Per Article: 14.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2018] [Accepted: 04/17/2018] [Indexed: 12/14/2022] Open
Abstract
BACKGROUND Improved methods for preoperative risk stratification in endometrial cancer are highly requested by gynecologists. Texture analysis is a method for quantification of heterogeneity in images, increasingly reported as a promising diagnostic tool in various cancer types, but largely unexplored in endometrial cancer. PURPOSE To explore whether tumor texture parameters from preoperative MRI are related to known prognostic features (deep myometrial invasion, cervical stroma invasion, lymph node metastases, and high-risk histological subtype) and to outcome in endometrial cancer patients. STUDY TYPE Prospective cohort study. POPULATION/SUBJECTS In all, 180 patients with endometrial carcinoma were included from April 2009 to November 2013 and studied until January 2017. FIELD STRENGTH/SEQUENCES Preoperative pelvic MRI including contrast-enhanced T1 -weighted (T1 c), T2 -weighted, and diffusion-weighted imaging at 1.5T. ASSESSMENT Tumor regions of interest (ROIs) were manually drawn on the slice displaying the largest cross-sectional tumor area, using the proprietary research software TexRAD for analysis. With a filtration-histogram technique, the texture parameters standard deviation, entropy, mean of positive pixels (MPP), skewness, and kurtosis were calculated. STATISTICAL TESTS Associations between texture parameters and histological features were assessed by uni- and multivariable logistic regression, including models adjusting for preoperative biopsy status and conventional MRI findings. Multivariable Cox regression analysis was used for survival analysis. RESULTS High tumor entropy in apparent diffusion coefficient (ADC) maps independently predicted deep myometrial invasion (odds ratio [OR] 3.2, P lt 0.001), and high MPP in T1 c images independently predicted high-risk histological subtype (OR 1.01, P = 0.004). High kurtosis in T1 c images predicted reduced recurrence- and progression-free survival (hazard ratio [HR] 1.5, P lt 0.001) after adjusting for MRI-measured tumor volume and histological risk at biopsy. DATA CONCLUSION MRI-derived tumor texture parameters independently predicted deep myometrial invasion, high-risk histological subtype, and reduced survival in endometrial carcinomas, and thus, represent promising imaging biomarkers providing a more refined preoperative risk assessment that may ultimately enable better tailored treatment strategies in endometrial cancer. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 2 J. Magn. Reson. Imaging 2018;48:1637-1647.
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Affiliation(s)
- Sigmund Ytre-Hauge
- Department of Radiology, Haukeland University Hospital, Bergen, Norway.,Section for Radiology, Department of Clinical Medicine, University of Bergen, Norway
| | - Julie A Dybvik
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Arvid Lundervold
- Department of Radiology, Haukeland University Hospital, Bergen, Norway.,Department of Biomedicine, University of Bergen, Norway
| | - Øyvind O Salvesen
- Unit for Applied Clinical Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Camilla Krakstad
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway
| | - Kristine E Fasmer
- Department of Radiology, Haukeland University Hospital, Bergen, Norway.,Section for Radiology, Department of Clinical Medicine, University of Bergen, Norway
| | - Henrica M Werner
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway
| | - Balaji Ganeshan
- Institute of Nuclear Medicine, University College London, London, UK
| | - Erling Høivik
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway
| | - Line Bjørge
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway
| | - Jone Trovik
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway.,Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Norway
| | - Ingfrid S Haldorsen
- Department of Radiology, Haukeland University Hospital, Bergen, Norway.,Section for Radiology, Department of Clinical Medicine, University of Bergen, Norway
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32
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Fasmer KE, Bjørnerud A, Ytre-Hauge S, Grüner R, Tangen IL, Werner HMJ, Bjørge L, Salvesen ØO, Trovik J, Krakstad C, Haldorsen IS. Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer. Acta Radiol 2018; 59:1010-1017. [PMID: 29137496 DOI: 10.1177/0284185117740932] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Background Quantitative dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted imaging (DWI) may yield preoperative tumor biomarkers relevant for prognosis and therapy in cancer. Purpose To explore the value of preoperative DCE-MRI and DWI for the prediction of aggressive disease in endometrial cancer patients. Material and Methods Preoperative MRI (1.5-T) from 177 patients were analyzed and imaging parameters reflecting tumor microvasculature (from DCE-MRI) and tumor microstructure (from DWI) were estimated. The derived imaging parameters were explored in relation to clinico-pathological stage, histological subtype and grade, molecular markers, and patient outcome. Results Low tumor blood flow (Fb) and low rate constant for contrast agent intravasation (kep) were associated with high-risk histological subtype ( P ≤ 0.04 for both) and tended to be associated with poor prognosis ( P ≤ 0.09). Low tumor apparent diffusion coefficient (ADC) value and large tumor volume were both significantly associated with deep myometrial invasion ( P < 0.001 for both) and were also unfavorable prognostic factors ( P = 0.05 and P < 0.001, respectively). Conclusion DCE-MRI and DWI represent valuable supplements to conventional MRI by providing preoperative imaging biomarkers that predict aggressive disease in endometrial cancer patients.
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Affiliation(s)
- Kristine E Fasmer
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Atle Bjørnerud
- The Intervention Centre, Oslo University Hospital, Oslo, Norway
| | - Sigmund Ytre-Hauge
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Renate Grüner
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Department of Physics and Technology, University of Bergen, Bergen, Norway
| | - Ingvild L Tangen
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Henrica MJ Werner
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Line Bjørge
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Øyvind O Salvesen
- Unit for applied Clinical Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jone Trovik
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Camilla Krakstad
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Biomedicine, University of Bergen, Bergen, Norway
| | - Ingfrid S Haldorsen
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
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33
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Nougaret S, Horta M, Sala E, Lakhman Y, Thomassin-Naggara I, Kido A, Masselli G, Bharwani N, Sadowski E, Ertmer A, Otero-Garcia M, Kubik-Huch RA, Cunha TM, Rockall A, Forstner R. Endometrial Cancer MRI staging: Updated Guidelines of the European Society of Urogenital Radiology. Eur Radiol 2018; 29:792-805. [DOI: 10.1007/s00330-018-5515-y] [Citation(s) in RCA: 147] [Impact Index Per Article: 24.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2017] [Revised: 04/18/2018] [Accepted: 04/26/2018] [Indexed: 12/21/2022]
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34
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Prediction of histological grade of endometrial cancer by means of MRI. Eur J Radiol 2018; 103:44-50. [PMID: 29803384 DOI: 10.1016/j.ejrad.2018.04.008] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/25/2017] [Revised: 03/26/2018] [Accepted: 04/06/2018] [Indexed: 12/20/2022]
Abstract
OBJECTIVES To evaluate the ability of MRI in predicting histological grade of endometrial cancer (EC). METHODS IRB-approved retrospective study; requirement for informed consent was waived. 90 patients with histologically proven EC who underwent preoperative MRI and surgery at our Institution between Sept2011 and Nov2016 were included. Myometrial invasion (</>50%) was assessed. Neoplasm and uterus volumes were estimated according to the ellipsoid formula; neoplasm/uterus volume ratio (N/U) was calculated. ADC maps were generated and histogram analysis was performed using commercially available software. MRI parameters were compared with the definitive histological grade (G1 = 28 patients, G2 = 29, G3 = 33) using ANOVA and Tukey-Kramer tests. RESULTS Deep myometrial invasion was significantly more frequent in G2-G3 lesions than in G1 ones (p < 0,005). N/U ratio was significantly higher for high-grade neoplasms (mean 0,08 for G1, 0,16 for G2 and 0,21 in G3; P = 0,002 for G1 vs. G2-G3); a cut off value of 0,13 enabled to distinguish G1 from G2-G3 lesions with 50% sensibility and 89% specificity. ADC values didn't show any statistically significant correlation with tumour grade. CONCLUSIONS N/U ratio >0.13 and deep myometrial invasion are significantly correlated with high grade EC, whereas ADC values are not useful for predicting EC grade.
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35
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The Role of Computed Tomography and Magnetic Resonance Imaging in Gynecologic Oncology. PET Clin 2018; 13:127-141. [DOI: 10.1016/j.cpet.2017.11.002] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
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36
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Ytre-Hauge S, Esmaeili M, Sjøbakk TE, Grüner R, Woie K, Werner HM, Krakstad C, Bjørge L, Salvesen ØO, Stefansson IM, Trovik J, Bathen TF, Haldorsen IS. In vivo MR spectroscopy predicts high tumor grade in endometrial cancer. Acta Radiol 2018; 59:497-505. [PMID: 28927296 DOI: 10.1177/0284185117733297] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
Background In vivo magnetic resonance spectroscopy (MRS) enables non-invasive measurements of tumor metabolites. Choline-containing metabolites play a key role in tumor metabolism. Purpose To explore whether preoperative MRS-derived tumor choline levels are associated with clinical and histological features in endometrial carcinomas. Material and Methods Preoperative pelvic magnetic resonance imaging (MRI) (1.5T), including structural and diffusion-weighted imaging and localized multivoxel proton MR (1H-MR) spectroscopy, was performed in 77 prospectively included patients with histologically confirmed endometrial carcinomas. Relative levels of total choline-containing metabolites (tCho) in tumor and myometrium were measured using the ratios: tCho/Creatine; tCho/Water; and tCho/Noise. MRS parameters were analyzed in relation to histological subtype and grade, surgicopathological staging parameters, MRI-measured tumor volume, and tumor apparent diffusion coefficient (ADC) value and clinical outcome. Results Tumor tissue had significantly higher ratios for tCho/Creatine, tCho/Water, and tCho/Noise than normal myometrial tissue ( P < 0.001 for all). High tumor tCho/Water ratio was significantly associated with high tumor grade in endometrioid tumors ( P = 0.02). Tumor tCho/Creatine ratio was positively correlated to MRI-measured tumor volume (rs = 0.25; P = 0.03). Conclusion High choline levels in tumor are associated with high-risk features. In vivo MRS may potentially aid in the preoperative risk stratification in endometrial cancer.
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Affiliation(s)
- Sigmund Ytre-Hauge
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
| | - Morteza Esmaeili
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology – NTNU, Trondheim, Norway
| | - Torill E Sjøbakk
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology – NTNU, Trondheim, Norway
| | - Renate Grüner
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Department of Physics and Technology, University of Bergen, Bergen, Norway
| | - Kathrine Woie
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Henrica M Werner
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Camilla Krakstad
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Line Bjørge
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Øyvind O Salvesen
- Unit for Applied Clinical Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | | | - Jone Trovik
- Department of Obstetrics and Gynaecology, Haukeland University Hospital, Bergen, Norway
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
| | - Tone F Bathen
- Department of Circulation and Medical Imaging, Norwegian University of Science and Technology – NTNU, Trondheim, Norway
| | - Ingfrid S Haldorsen
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section for Radiology, Department of Clinical Medicine, University of Bergen, Bergen, Norway
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Anastasi E, Gigli S, Ballesio L, Angeloni A, Manganaro L. The Complementary Role of Imaging and Tumor Biomarkers
in Gynecological Cancers: An Update of the Literature. Asian Pac J Cancer Prev 2018; 19:309-317. [PMID: 29479951 PMCID: PMC5980913 DOI: 10.22034/apjcp.2018.19.2.309] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2023] Open
Abstract
Gynecological tumors, including endometrial, cervical and ovarian cancer, have increased in incidence over time. The widespread introduction of screening programs and advances in diagnostic imaging methods has lead to a progressive increase in gynecological cancer detection. Accurate diagnosis and proper monitoring of disease remain the primary target for a successful treatment. In the last years, knowledge about cancer biomarkers has considerably increased providing great opportunities for improving cancer detection and treatment. In addition, in the last few years there has been an important development of imaging techniques. Nowadays, a multimodal approach including the evaluation of serum tumor biomarkers combined with imaging techniques, seems to be the best strategy for assessing tumor presence, spread, recurrence, and/or the response to treatment in female cancer patients In this review we provide an overview of the application of biomarkers combined with novel imaging methods and highlight their roles in female cancer diagnosis and follow-up.
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Affiliation(s)
- Emanuela Anastasi
- Department of Molecular Medicine, Sapienza University, Viale Regina Elena 324, 00161 Roma, Italy.
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Guo Y, Wang P, Wang P, Gao W, Li F, Yang X, Ni H, Shen W, Guo Z. Myometrial invasion and overall staging of endometrial carcinoma: assessment using fusion of T2-weighted magnetic resonance imaging and diffusion-weighted magnetic resonance imaging. Onco Targets Ther 2017; 10:5937-5943. [PMID: 29290687 PMCID: PMC5735992 DOI: 10.2147/ott.s145763] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/22/2023] Open
Abstract
Background The age of onset of endometrial carcinoma has been decreasing in recent years. In endometrial carcinoma, it is important to accurately assess invasion depth and preoperative staging. Fusion of T2-weighted magnetic resonance imaging (T2WI) and diffusion-weighted magnetic resonance imaging (DWI) may contribute to the improvement of anatomical localization of lesions. Materials and methods In our study, a total of 58 endometrial carcinoma cases were included. Based on the revised 2009 International Federation of Gynecology and Obstetrics staging system, a fusion of T2WI and DWI was utilized for the evaluation of invasion depth and determination of the overall stage. Postoperative pathologic assessment was considered as the reference standard. The consistency of T2WI image staging and pathologic staging, and the consistency of fused T2WI and DWI and pathologic staging were all analyzed using Kappa statistics. Results Compared with the T2WI group, a significantly higher diagnostic accuracy was observed for myometrial invasion with fusion of T2WI and DWI (77.6% for T2WI; 94.8% for T2WI-DWI). For the identification of deep invasion, we calculated values for diagnostic sensitivity (69.2% for T2WI; 92.3% for T2WI-DWI), specificity (80% for T2WI; 95.6% for T2WI-DWI), positive predictive value (50% for T2WI; 85.7% for T2WI-DWI), and negative predictive value (90% for T2WI; 97.7% for T2WI-DWI). In summary, T2WI-DWI fusion exhibits higher diagnostic accuracy with respect to staging relative to T2WI only (81.0% for T2WI; 94.8% for T2WI-DWI). Conclusion Fused T2WI-DWI may represent a noninvasive, lower cost approach for the effective assessment of myometrial invasion and staging of endometrial carcinoma.
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Affiliation(s)
- Yu Guo
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin.,Department of Radiology, Tianjin First Center Hospital, The First Central Clinical College of Tianjin Medical University, Tianjin
| | - Ping Wang
- Department of Radiology, Tianjin First Center Hospital, The First Central Clinical College of Tianjin Medical University, Tianjin
| | - Penghui Wang
- Department of Radiology, Tianjin First Center Hospital, The First Central Clinical College of Tianjin Medical University, Tianjin
| | - Wei Gao
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin
| | - Fenge Li
- Department of Gynecology, Tianjin First Center Hospital, Tianjin, People's Republic of China
| | - Xueling Yang
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin
| | - Hongyan Ni
- Department of Radiology, Tianjin First Center Hospital, The First Central Clinical College of Tianjin Medical University, Tianjin
| | - Wen Shen
- Department of Radiology, Tianjin First Center Hospital, The First Central Clinical College of Tianjin Medical University, Tianjin
| | - Zhi Guo
- Department of Interventional Therapy, Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Tianjin's Clinical Research Center for Cancer, Tianjin
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Rodríguez-Trujillo A, Martínez-Serrano MJ, Martínez-Román S, Martí C, Buñesch L, Nicolau C, Pahisa J. Preoperative Assessment of Myometrial Invasion in Endometrial Cancer by 3D Ultrasound and Diffusion-Weighted Magnetic Resonance Imaging: A Comparative Study. Int J Gynecol Cancer 2017; 26:1105-10. [PMID: 27177278 DOI: 10.1097/igc.0000000000000724] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
OBJECTIVE The prognosis of endometrial cancer depends on the correct surgical staging. In early stages, 18% to 30% rate of positive lymph nodes is reported with a myometrial invasion of 50% or more. According to this, patients with International Federation of Gynecology and Obstetrics stage Ib would benefit from staging lymphadenectomy. Therefore, it is important to classify these patients preoperatively to plan the surgery. In the recent years, 3-dimensional (3D) ultrasound and diffusion-weighted magnetic resonance imaging (DW-MRI) have been incorporated in the preoperative management of these patients. The aim of this study was to assess the usefulness of 3D ultrasound and DW-MRI as predictor of myometrial invasion in endometrial cancer. MATERIAL AND METHODS We retrospectively compared the assessment of myometrial invasion by 3D ultrasound and DW-MRI with final pathologic evaluation on hysterectomy specimens, in 98 patients diagnosed of early-stage endometrial cancer, who underwent surgery at the Hospital Clinic of Barcelona between 2012 and 2015. RESULTS Evaluation of the depth of myometrial invasion with 3D ultrasound had a sensitivity, specificity, and accuracy of 77%, 83% and 81%, respectively. Evaluation of the depth of myometrial invasion with DW-MRI had a sensitivity, specificity, and accuracy of 69%, 86%, and 81%, respectively. Association of both techniques improved all the values, showing a sensitivity, specificity, and accuracy of 87%, 93%, and 91%, respectively. In both 3D ultrasound and DW-MRI, the presence of leiomyomas was the first detectable cause of false negative (3% and 4%, respectively) and false-positive (3% and 1%, respectively). CONCLUSIONS We conclude that the implementation of the 2 studies in early-stage endometrial cancer provides low false-negatives and false-positives rates. In cases of patients with leiomyomas, adenomiosis, or intrauterine fluid collection, definitive evaluation of myometrial invasion could be better deferred to intraoperative biopsy in an attempt to reduce false-negatives and false-positives rates.
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Affiliation(s)
- Adriano Rodríguez-Trujillo
- *Department of Gynecology and Obstetrics, Hospital Clìnic i Provincial, University of Barcelona, Spain; and †Department of Radiology, Hospital Clínic i Provincial, University of Barcelona, Barcelona, Spain
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Berg A, Gulati A, Ytre-Hauge S, Fasmer KE, Mauland KK, Hoivik EA, Husby JA, Tangen IL, Trovik J, Halle MK, Stefansson I, Akslen LA, Woie K, Bjørge L, Salvesen HB, Salvesen ØO, Werner HM, Haldorsen IS, Krakstad C. Preoperative imaging markers and PDZ-binding kinase tissue expression predict low-risk disease in endometrial hyperplasias and low grade cancers. Oncotarget 2017; 8:68530-68541. [PMID: 28978135 PMCID: PMC5620275 DOI: 10.18632/oncotarget.19708] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2017] [Accepted: 06/19/2017] [Indexed: 11/25/2022] Open
Abstract
PURPOSE Distinguishing complex atypical hyperplasia (CAH) from grade 1 endometrioid endometrial cancer (EECG1) preoperatively may be valuable in order to prevent surgical overtreatment, particularly in patients wishing preserved fertility or in patients carrying increased risk of perioperative complications. MATERIAL AND METHODS Preoperative histological diagnosis and radiological findings were compared to final histological diagnosis in patients diagnosed with CAH and EECG1. Imaging characteristics at preoperative magnetic resonance imaging (MRI) and fluorodeoxyglucose positron emission tomography/computer tomography (FDG-PET/CT) were compared with tumor DNA oligonucleotide microarray data, immunohistochemistry findings and clinicopathological annotations. RESULTS MRI assessed tumor volume was higher in EECG1 than in CAH (p=0.004) whereas tumor apparent diffusion coefficient value was lower in EECG1 (p=0.005). EECG1 exhibited increased metabolism with higher maximum and mean standard uptake values (SUV) than CAH (p≤0.002). Unsupervised clustering of EECG1 and CAH revealed differentially expressed genes within the clusters, and identified PDZ-binding kinase (PBK) as a potential marker for selecting endometrial lesions with less aggressive biological behavior. CONCLUSION Both PBK expression and preoperative imaging yield promising biomarkers that may aid in the differentiation between EECG1 and CAH preoperatively, and these markers should be further explored in larger patient series.
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Affiliation(s)
- Anna Berg
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Ankush Gulati
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
| | - Sigmund Ytre-Hauge
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section of Radiology, Department of Clinical Medicine, University of Bergen, Norway
| | | | - Karen K. Mauland
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Erling A. Hoivik
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Jenny A. Husby
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section of Radiology, Department of Clinical Medicine, University of Bergen, Norway
| | - Ingvild L. Tangen
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Jone Trovik
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Mari K. Halle
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Ingunn Stefansson
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, Centre for Cancer Biomarkers, Bergen, Norway
| | - Lars A. Akslen
- Department of Pathology, Haukeland University Hospital, Bergen, Norway
- Department of Clinical Medicine, Centre for Cancer Biomarkers, Bergen, Norway
| | - Kathrine Woie
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Line Bjørge
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Helga B. Salvesen
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Øyvind O. Salvesen
- Unit for Applied Clinical Research, Department of Cancer Research and Molecular Medicine, Norwegian University of Science and Technology, Trondheim, Norway
| | - Henrica M.J. Werner
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
| | - Ingfrid S. Haldorsen
- Department of Radiology, Haukeland University Hospital, Bergen, Norway
- Section of Radiology, Department of Clinical Medicine, University of Bergen, Norway
| | - Camilla Krakstad
- Centre for Cancer Biomarkers, Department of Clinical Science, University of Bergen, Bergen, Norway
- Department of Gynecology and Obstetrics, Haukeland University Hospital, Bergen, Norway
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Du L, Yu Y, Wang Y, Xia J, Qiu X, Lei Y. The diagnostic value of multimodality MRI in endometrial carcinoma staging. Acta Radiol 2017; 58:609-616. [PMID: 28273727 DOI: 10.1177/0284185116669871] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
Background Multimodality magnetic resonance imaging (MRI) is an imaging technology that is used to integrate the structural and functional information of lesions. MRI can determine the staging of endometrial carcinoma, provide guidance for selection of surgical treatment and postoperative prognostic assessment, and has an important role in improving the survival of patients with endometrial carcinoma. Purpose To evaluate multimodality MRI staging accuracy for endometrial carcinoma based on the International Federation of Gynecology and Obstetrics (FIGO 2009) staging system. Material and Methods This is a retrospective study of the complete clinical and surgical pathology data from 83 patients with endometrial carcinoma treated between June 2011 and August 2015. Using a blind design, the preoperative clinical staging according to the current FIGO2009 MRI-based staging for each endometrial carcinoma was analyzed and corrected by postoperative histopathological results, which served as the staging standard. The role of multimodality MRI on clinical staging accuracy for endometrial carcinoma was studied. Results Based on the pathological evaluation after surgery, the 83 endometrial carcinoma patients were staged according to the current FIGO2009 staging criteria as: stage I, n = 56; stage II, n = 17; stage III, n = 7; and stage IV, n = 3. The multimodality MRI staging accuracy for endometrial carcinoma stages I-IV by FIGO2009 were 91.6% (76/83), 91.6% (76/83), 92.8% (77/83), and 97.6% (81/83), respectively. Conclusion Multimodality MRI is an important imaging tool in the pre-operative clinical staging of endometrial carcinoma. The current FIGO staging system appears to be a concise, reasonable, and practical set of criteria for the clinical management of endometrial carcinoma.
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Affiliation(s)
- Lixin Du
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China
- Department of Radiology, Shenzhen Longhua New District Central Hospital, Shenzhen, Guangdong, PR China
| | - Yongqiang Yu
- Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, PR China
| | - Yuli Wang
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Jun Xia
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Xixiong Qiu
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
| | - Yi Lei
- Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, PR China
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Abstract
Although endometrial cancer is surgicopathologically staged, preoperative imaging is recommended for diagnostic work-up to tailor surgery and adjuvant treatment. For preoperative staging, imaging by transvaginal ultrasound (TVU) and/or magnetic resonance imaging (MRI) is valuable to assess local tumor extent, and positron emission tomography-CT (PET-CT) and/or computed tomography (CT) to assess lymph node metastases and distant spread. Preoperative imaging may identify deep myometrial invasion, cervical stromal involvement, pelvic and/or paraaortic lymph node metastases, and distant spread, however, with reported limitations in accuracies and reproducibility. Novel structural and functional imaging techniques offer visualization of microstructural and functional tumor characteristics, reportedly linked to clinical phenotype, thus with a potential for improving risk stratification. In this review, we summarize the reported staging performances of conventional and novel preoperative imaging methods and provide an overview of promising novel imaging methods relevant for endometrial cancer care.
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Affiliation(s)
- Ingfrid S Haldorsen
- Department of Radiology, Haukeland University Hospital, Jonas Liesvei 65, Postbox 7800, 5021, Bergen, Norway.
- Section for Radiology, Department of Clinical Medicine, University of Bergen, 5020, Bergen, Norway.
| | - Helga B Salvesen
- Department of Obstetrics and Gynecology, Haukeland University Hospital, 5020, Bergen, Norway
- Department of Clinical Science, University of Bergen, 5020, Bergen, Norway
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Mahajan A, Sable NP, Popat PB, Bhargava P, Gangadhar K, Thakur MH, Arya S. Magnetic Resonance Imaging of Gynecological Malignancies: Role in Personalized Management. Semin Ultrasound CT MR 2016; 38:231-268. [PMID: 28705370 DOI: 10.1053/j.sult.2016.11.005] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Abstract
Gynecological malignancies are a leading cause of mortality and morbidity in women and pose a significant health problem around the world. Currently used staging systems for management of gynecological malignancies have unresolved issues, the most important being recommendations on the use of imaging. Although not mandatory as per the International Federation of Gynecology and Obstetrics recommendations, preoperative cross-sectional imaging is strongly recommended for adequate and optimal management of patients with gynecological malignancies. Standardized disease-specific magnetic resonance imaging protocols help assess disease spread accurately and avoid pitfalls. Multiparametric imaging holds promise as a roadmap to personalized management in gynecological malignancies. In this review, we will highlight the role of magnetic resonance imaging in cervical, endometrial, and ovarian carcinomas.
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Affiliation(s)
- Abhishek Mahajan
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
| | - Nilesh P Sable
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
| | - Palak B Popat
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, India
| | - Puneet Bhargava
- Department of Radiology, University of Washington School of Medicine, Seattle, WA
| | - Kiran Gangadhar
- Department of Radiology, University of Washington School of Medicine, Seattle, WA
| | | | - Supreeta Arya
- Department of Radiodiagnosis, Tata Memorial Hospital, Mumbai, India.
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Du L, Li X, Qiu X, Liu X, Wang Y, Yu Y. Application of FLASH-3D dynamic contrast-enhanced imaging for diagnosis of endometrial carcinoma. Br J Radiol 2016; 89:20160268. [PMID: 27459248 DOI: 10.1259/bjr.20160268] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022] Open
Abstract
OBJECTIVE To investigate the application and value of fast low-angle shot three-dimensional (FLASH-3D) dynamic contrast-enhanced MRI for the pre-operative staging of endometrial carcinoma. METHODS This prospective study enrolled 48 patients with complete clinical data and pathologically confirmed endometrial carcinoma from July 2012 to March 2014. After routine MRI examination, subjects underwent FLASH-3D dynamic contrast-enhanced examination. The dynamically enhanced features of the uterine wall and tumours were analyzed. FLASH-3D pre-operative staging and findings in relation to myometrial invasion were compared with post-operative pathological results in a double-blind manner. RESULTS There were 48 cases of pathologically proven endometrial carcinoma, including 34 patients with Stage I (Stage Ia 22 cases and Stage Ib 12 cases), 9 with Stage II, 3 with Stage III and 2 with Stage IV. The staging accuracy for endometrial carcinoma was 81% (39/48) using FLASH-3D dynamic contrast-enhanced sequences. The sensitivity, specificity and accuracy for the determination of deep myometrial invasion were 84%, 90% and 88%, respectively. There was no significant difference compared with the results of post-operative pathology (p > 0.05). CONCLUSION FLASH-3D dynamic contrast-enhanced imaging may be valuable for the early diagnosis and pre-operative staging of endometrial carcinoma. Its high accuracy for assessing deep myometrial invasion makes FLASH-3D imaging an important tool for selecting the optimal therapeutic protocol and for prognosis estimation. ADVANCES IN KNOWLEDGE FLASH-3D can significantly improve the accurate assessment of the depth of tumour invasion into the myometrium and may thus help to guide clinical surgical choices and post-operative evaluation. FLASH-3D is thus a promising technique for the routine examination of female pelvic tumours.
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Affiliation(s)
- Lixin Du
- 1 Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China.,2 Department of Radiology, Shenzhen Longhua New District Central Hospital, Shenzhen, Guangdong, China
| | - Xiaohu Li
- 1 Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
| | - Xixiong Qiu
- 3 Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Xiaolei Liu
- 3 Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Yuli Wang
- 3 Department of Radiology, The First Affiliated Hospital of Shenzhen University, Shenzhen, Guangdong, China
| | - Yongqiang Yu
- 1 Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui, China
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Boaventura CS, Galvão JLS, Soares GMB, Bitencourt AGV, Chojniak R, Bringel SLR, Brot LD. Synchronous gynecologic cancer and the use of imaging for diagnosis. Rev Assoc Med Bras (1992) 2016; 62:116-9. [PMID: 27167539 DOI: 10.1590/1806-9282.62.02.116] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2015] [Accepted: 05/04/2015] [Indexed: 11/22/2022] Open
Abstract
Endometrial and cervical cancers are the most prevalent gynecologic neoplasms. While endometrial cancer occurs in older women, cervical cancer is more prevalente in young subjects. The most common clinical manifestation in these two gynecological cancers is vaginal bleeding. In the first case, diagnosis is made based on histological and imaging evaluation of the endometrium, while cervical cancers are diagnosed clinically, according to the International Federation of Gynecology and Obstetrics (FIGO). The authors present a case of synchronous gynecological cancer of the endometrium and cervix diagnosed during staging on MRI and confirmed by histological analysis of the surgical specimen.
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Meissnitzer M, Forstner R. MRI of endometrium cancer - how we do it. Cancer Imaging 2016; 16:11. [PMID: 27157039 PMCID: PMC4860771 DOI: 10.1186/s40644-016-0069-1] [Citation(s) in RCA: 35] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2016] [Accepted: 03/27/2016] [Indexed: 12/16/2022] Open
Abstract
Endometrial cancer is the most common malignancy of the female pelvis. New concepts in endometrial cancer treatment emphasize the value of MRI as a major predictor of lymph node metastasis and tumour recurrence. MRI findings aid in triaging patients for a more tailored therapeutic regimen.This review discusses the value of MRI in the preoperative assessment of endometrial cancer and provides a practical approach how to image and report endometrial cancer. Practical tips are provided how to increase the diagnostic accuracy in staging of endometrial cancer and how to avoid pitfalls.
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Affiliation(s)
- Matthias Meissnitzer
- Department of Radiology, Landeskliniken Salzburg, Paracelsus Medical University, Müllner Hauptstr. 48, 5020, Salzburg, Austria.
| | - Rosemarie Forstner
- Department of Radiology, Landeskliniken Salzburg, Paracelsus Medical University, Müllner Hauptstr. 48, 5020, Salzburg, Austria
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Takatsu Y, Motegi S, Miyati T, Yamamura K. [An Examination for Uterine Dynamic Study with Phase-sensitive Inversion-recovery]. Nihon Hoshasen Gijutsu Gakkai Zasshi 2016; 72:31-41. [PMID: 26796931 DOI: 10.6009/jjrt.2016_jsrt_72.1.31] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
Abstract
The depth of myometrial invasion in patients with endometrial carcinoma is recognized as an important factor that closely correlates with prognosis. Preoperative assessment of myometrial invasion is essential for planning surgery. To enhance the contrast between myometrium and endometrium including myometrial invasion with endometrial carcinoma, we optimized the sequence parameter with phase-sensitive inversion-recovery (PSIR) in gadolinium dynamic study of uterine corpus. On a 1.5-T magnetic resonance imaging (MRI), images were acquired by three-dimensional (3D) T1 -turbo field echo (TFE) with PSIR sequence and gadolinium-diethylenetriamine pentaacetic acid( Gd-DTPA) diluted phantom (0-5 mmol/L) and myometrium model (manganese chloride tetrahydrate+agar). We calculated the null point and the contrast-to-noise ratio (CNR) at multiple TFE inversion delay times, 200 ms-maximum in each combination; flip angles (FAs), 5-35 degrees; TFE factor, 20-40; and shot interval (SI), 500-1000 ms. We assumed that dynamic scanning time was 30 seconds when the sensitivity encoding factor was 2, namely, in this study, the scanning time was 1 minute with no sensitivity encoding. In addition, we compared CNR between optimized PSIR sequence ande-Thrive. We recognized a successful CNR of the 3D PSIR parameter was TFE inversion delay times, 335 ms; FA, 25 degrees; TFE factor, 20; and SI, 500 ms. In each gadolinium-DTPA diluted phantom, the average CNR of the optimized PSIR sequence was approximately 1.7 times (maximum: 3 times) higher than e-Thrive. Optimizing sequence parameter of PSIR is applicable in gadolinium dynamic study of uterine corpus.
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Preoperative tumor size at MRI predicts deep myometrial invasion, lymph node metastases, and patient outcome in endometrial carcinomas. Int J Gynecol Cancer 2015; 25:459-66. [PMID: 25628109 PMCID: PMC4340601 DOI: 10.1097/igc.0000000000000367] [Citation(s) in RCA: 49] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022] Open
Abstract
Supplemental digital content is available in the text. Objective The aim of this study was to explore the relation between preoperative tumor size based on magnetic resonance imaging (MRI) and the surgical pathologic staging parameters (deep myometrial invasion, cervical stroma invasion, and metastatic lymph nodes) and to assess the prognostic impact of tumor size in endometrial carcinomas. Interobserver variability for the different tumor size measurements was also assessed. Methods/Materials Preoperative pelvic MRI of 212 patients with histologically confirmed endometrial carcinomas was read independently by 3 radiologists. Maximum tumor diameters were measured in 3 orthogonal planes (anteroposterior, transverse, and craniocaudal planes [CC]), and tumor volumes were estimated. Tumor size was analyzed in relation to surgical staging results and patient survival. The multivariate analyses were adjusted for preoperative risk status based on endometrial biopsy. Intraclass correlation coefficients and receiver operating characteristics curves for the different tumor measurements were also calculated. Results Anteroposterior tumor diameter independently predicted deep myometrial invasion (P < 0.001), whereas CC tumor diameter tended to independently predict lymph node metastases (P = 0.06). Based on receiver operating characteristic curves, the following tumor size cutoff values were identified: anteroposterior diameter greater than 2 cm predicted deep myometrial invasion (unadjusted odds ratio [OR], 12.4; P < 0.001; adjusted OR, 6.7; P < 0.001) and CC diameter greater than 4 cm predicted lymph node metastases (unadjusted OR, 6.2; P < 0.001; adjusted OR, 4.9; P = 0.009). Large tumor size was associated with reduced progression/recurrence-free survival (P ≤ 0.005 for all size parameters), and CC diameter had an independent impact on survival (adjusted hazards ratio, 1.04; P = 0.009). The interobserver variability for the different size measurements was very low (intraclass correlation coefficient, 0.78–0.85). Conclusions Anteroposterior tumor diameter greater than 2 cm predicts deep myometrial invasion, and CC tumor diameter greater than 4 cm predicts lymph node metastases. Tumor size is a strong prognostic factor in endometrial carcinomas. Preoperative tumor measurements based on MRI may potentially improve preoperative risk stratification models and thus enable better tailored surgical treatment in endometrial cancer.
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Bendifallah S, Daraï E, Ballester M. Predictive Modeling: A New Paradigm for Managing Endometrial Cancer. Ann Surg Oncol 2015; 23:975-88. [PMID: 26577116 DOI: 10.1245/s10434-015-4924-2] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2015] [Indexed: 01/05/2023]
Abstract
With the abundance of new options in diagnostic and treatment modalities, a shift in the medical decision process for endometrial cancer (EC) has been observed. The emergence of individualized medicine and the increasing complexity of available medical data has lead to the development of several prediction models. In EC, those clinical models (algorithms, nomograms, and risk scoring systems) have been reported, especially for stratifying and subgrouping patients, with various unanswered questions regarding such things as the optimal surgical staging for lymph node metastasis as well as the assessment of recurrence and survival outcomes. In this review, we highlight existing prognostic and predictive models in EC, with a specific focus on their clinical applicability. We also discuss the methodologic aspects of the development of such predictive models and the steps that are required to integrate these tools into clinical decision making. In the future, the emerging field of molecular or biochemical markers research may substantially improve predictive and treatment approaches.
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Affiliation(s)
- Sofiane Bendifallah
- Department of Gynecology and Obstetrics, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), University Pierre and Marie Curie, Institut Universitaire de Cancérologie (IUC), Paris 6, France. .,INSERM UMR S 707, "Epidemiology, Information Systems, Modeling,", University Pierre and Marie Curie, Paris 6, France.
| | - Emile Daraï
- Department of Gynecology and Obstetrics, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), University Pierre and Marie Curie, Institut Universitaire de Cancérologie (IUC), Paris 6, France.,INSERM UMR S 938, University Pierre et Marie Curie, Paris 6, France
| | - Marcos Ballester
- Department of Gynecology and Obstetrics, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), University Pierre and Marie Curie, Institut Universitaire de Cancérologie (IUC), Paris 6, France.,INSERM UMR S 938, University Pierre et Marie Curie, Paris 6, France
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