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Fan MS, Qiu KX, Wang DY, Wang H, Zhang WW, Yan L. Risk factors associated with false negative rate of sentinel lymph node biopsy in endometrial cancer: a systematic review and meta-analysis. Front Oncol 2024; 14:1391267. [PMID: 38634055 PMCID: PMC11021692 DOI: 10.3389/fonc.2024.1391267] [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] [Received: 02/25/2024] [Accepted: 03/19/2024] [Indexed: 04/19/2024] Open
Abstract
Objective Currently, sentinel lymph node biopsy (SLNB) is increasingly used in endometrial cancer, but the rate of missed metastatic lymph nodes compared to systemic lymph node dissection has been a concern. We conducted a systematic review and meta-analysis to evaluate the false negative rate (FNR) of SLNB in patients with endometrial cancer and to explore the risk factors associated with this FNR. Data sources Three databases (PubMed, Embase, Web of Science) were searched from initial database build to January 2023 by two independent reviewers. Research eligibility criteria Studies were included if they included 10 or more women diagnosed with International Federation of Gynecology and Obstetrics (FIGO) stage I or higher endometrial cancer, the study technique used sentinel lymph node localization biopsy, and the reported outcome metrics included false negative and/or FNR. Study appraisal and synthesis methods Two authors independently reviewed the abstracts and full articles. The FNR and factors associated with FNR were synthesized through random-effects meta-analyses and meta-regression. The results We identified 62 eligible studies. The overall FNR for the 62 articles was 4% (95% CL 3-5).There was no significant difference in the FNR in patients with high-risk endometrial cancer compared to patients with low-risk endometrial cancer. There was no difference in the FNR for whether frozen sections were used intraoperatively. The type of dye used intraoperatively (indocyanine green/blue dye) were not significantly associated with the false negative rate. Cervical injection reduced the FNR compared with alternative injection techniques. Indocyanine green reduced the FNR compared with alternative Tc-99m. Postoperative pathologic ultrastaging reduced the FNR. Conclusions Alternative injection techniques (other than the cervix), Tc-99m dye tracer, and the absence of postoperative pathologic ultrastaging are risk factors for a high FNR in endometrial cancer patients who undergo SLNB; therefore, we should be vigilant for missed diagnosis of metastatic lymph nodes after SLNB in such populations. Systematic review registration http://www.crd.york.ac.uk/PROSPERO/, identifier CRD42023433637.
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Affiliation(s)
- Meng-si Fan
- Department of Gynecology, Shandong Provincial Qianfoshan Hospital, Shandong Second Medical University, Key Laboratory of Laparoscopic Technology, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Ke-xin Qiu
- Department of Gynecology, Shandong Provincial Qianfoshan Hospital, Shandong Second Medical University, Key Laboratory of Laparoscopic Technology, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
| | - Dong-yue Wang
- School of Clinical Medicine, Shandong First Medical University, Jinan, China
| | - Hao Wang
- School of Clinical Medicine, Shandong First Medical University, Jinan, China
| | - Wei-wei Zhang
- Department of Gynecology, Tengzhou Maternal and Child Health Hospital, Tengzhou, Shandong, China
| | - Li Yan
- Department of Gynecology, Shandong Provincial Qianfoshan Hospital, Shandong Second Medical University, Key Laboratory of Laparoscopic Technology, The First Affiliated Hospital of Shandong First Medical University, Jinan, China
- Department of Gynecology, The First Affiliated Hospital of Shandong First Medical University & Shandong Provincial Qianfoshan Hospital, Jinan, China
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2
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Liro M, Śniadecki M, Wycinka E, Wojtylak S, Brzeziński M, Jastrzębska J, Wydra D. Incorporation of Tumor-Free Distance and Other Alternative Ultrasound Biomarkers into a Myometrial Invasion-Based Model Better Predicts Lymph Node Metastasis in Endometrial Cancer: Evidence and Future Prospects. Diagnostics (Basel) 2022; 12:2604. [PMID: 36359447 PMCID: PMC9689828 DOI: 10.3390/diagnostics12112604] [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] [Subscribe] [Scholar Register] [Received: 08/29/2022] [Revised: 10/21/2022] [Accepted: 10/22/2022] [Indexed: 12/02/2022] Open
Abstract
Myometrial invasion (MI) is a parameter currently used in transvaginal ultrasound (TVS) in endometrial cancer (EC) to determine local staging; however, without molecular diagnostics, it is insufficient for the selection of high-risk cases, i.e., those with a high risk of lymph node metastases (LNM). The study’s objective was to answer the question of which TVS markers, or their combination, reflecting the molecular changes in EC, can improve the prediction of LNM. Methods: The TVS examination was performed on 116 consecutive EC patients included in this prospective study. The results from the final histopathology were a reference standard. Univariate and multivariate logistic models of analyzed TVS biomarkers (tumor [T] size, T area [AREA], T volume [SPE-VOL], MI, T-free distance to serosa [TFD], endo-myometrial irregularity, [EMIR], cervical stromal involvement, CSI) were evaluated to assess the relative accuracy of the possible LNM predictors., Spline functions were applied to avoid a potential bias in assuming linear relations between LNM and continuous predictors. Calculations were made in R using libraries splines, glmulti, and pROC. Results: LNM was found in 20 out of the 116 (17%) patients. In univariate analysis, only uMI, EMIR, uCSI and uTFD were significant predictors of LNM. The accuracy was 0.707 (AUC 0.684, 95% CI 0.568−0.801) for uMI (p < 0.01), 0.672 (AUC 0.664, 95% CI 0.547−0.781) for EMIR (p < 0.01), 0.776 (AUC 0.647, 95% CI 0.529−0.765) for uCSI (p < 0.01), and 0.638 (AUC 0.683, 95% CI 0.563−0.803) for uTFD (p < 0.05). The cut-off value for uTFD was 5.2 mm. However, AREA and VOL revealed a significant relationship by nonlinear analysis as well. Among all possible multivariate models, the one comprising interactions of splines of uTFD with uMI and splines of SPE-VOL with uCSI showed the most usefulness. Accuracy was 0.802 (AUC 0.791, 95% CI 0.673−0.91) Conclusions: A combination of uTFD for patients with uMI > 50%, and SPE-VOL for patients with uCSI, allows for the most accurate prediction of LNM in EC, rather than uMI alone.
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Affiliation(s)
- Marcin Liro
- Department of Gynecology and Obstetrics, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Marcin Śniadecki
- Department of Gynecology and Obstetrics, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Ewa Wycinka
- Department of Statistics, Faculty of Management, Gdańsk University, 80-309 Gdańsk, Poland
| | - Szymon Wojtylak
- Department of Pathology, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Michał Brzeziński
- Department of Gynecologic Oncology, PCK Marine Hospital in Gdynia, 81-519 Gdynia, Poland
| | - Joanna Jastrzębska
- Department of Gynecology and Obstetrics, Medical University of Gdańsk, 80-210 Gdańsk, Poland
| | - Dariusz Wydra
- Department of Gynecology and Obstetrics, Medical University of Gdańsk, 80-210 Gdańsk, Poland
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Yu Y, Zhang L, Sultana B, Wang B, Sun H. Diagnostic value of integrated 18F-FDG PET/MRI for staging of endometrial carcinoma: comparison with PET/CT. BMC Cancer 2022; 22:947. [PMID: 36050751 PMCID: PMC9438318 DOI: 10.1186/s12885-022-10037-0] [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: 05/11/2022] [Accepted: 08/24/2022] [Indexed: 11/21/2022] Open
Abstract
Purpose To explore the diagnostic value of integrated positron emission tomography/magnetic resonance imaging (PET/MRI) for the staging of endometrial carcinoma and to investigate the associations between quantitative parameters derived from PET/MRI and clinicopathological characteristics of endometrial carcinoma. Methods Altogether, 57 patients with endometrial carcinoma who underwent PET/MRI and PET/computed tomography (PET/CT) preoperatively were included. Diagnostic performance of PET/MRI and PET/CT for staging was compared by three readers. Associations between PET/MRI quantitative parameters of primary tumor lesions and clinicopathological characteristics of endometrial carcinoma were analyzed. Histopathological results were used as the standard. Results The overall accuracy of the International Federation of Gynecology and Obstetrics (FIGO) staging for PET/MRI and PET/CT was 86.0% and 77.2%, respectively. PET/MRI had higher accuracy in diagnosing myometrial invasion and cervical invasion and an equivalent accuracy in diagnosing pelvic lymph node metastasis against PET/CT, although without significance. All PET/MRI quantitative parameters were significantly different between stage I and stage III tumors. Only SUVmax/ADCmin were significantly different between stage I and II tumors. No parameters were significantly different between stage II and III tumors. The SUVmax/ADCmin in the receiving operating characteristic (ROC) curve had a higher area under the ROC curve for differentiating stage I tumors and other stages of endometrial carcinoma. Conclusions PET/MRI had a higher accuracy for the staging of endometrial carcinoma, mainly for FIGO stage I tumors compared to PET/CT. PET/MRI quantitative parameters, especially SUVmax/ADCmin, were associated with tumor stage and other clinicopathological characteristics. Hence, PET/MRI may be a valuable imaging diagnostic tool for preoperative staging of endometrial carcinoma.
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Affiliation(s)
- Yang Yu
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, 110004, China.,Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China.,Liaoning Provincial Key Laboratory of Medical Imaging, Shenyang, 110004, China
| | - Le Zhang
- Department of Radiology, Qingdao Municipal Hospital, Qingdao University, Qingdao, 266011, China
| | - Bilkis Sultana
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, 110004, China
| | - Bo Wang
- Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China
| | - Hongzan Sun
- Department of Radiology, Shengjing Hospital of China Medical University, Sanhao Street No36, Heping District, Shenyang, 110004, China. .,Department of Nuclear Medicine, Shengjing Hospital of China Medical University, Shenyang, 110004, China. .,Liaoning Provincial Key Laboratory of Medical Imaging, Shenyang, 110004, China.
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Winarto H, Habiburrahman M, Siregar TP, Nuryanto KH. Magnetic resonance imaging pitfalls in determining myometrial invasion in stage I endometrial cancer: A case report and literature review. Radiol Case Rep 2022; 17:2680-2688. [PMID: 35663819 PMCID: PMC9160413 DOI: 10.1016/j.radcr.2022.05.021] [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: 03/19/2022] [Revised: 05/06/2022] [Accepted: 05/11/2022] [Indexed: 11/17/2022] Open
Abstract
The degree of myometrial invasion (MI) is crucial in the preoperative diagnosis of endometrial cancer (EC) using MRI in terms of therapeutic and prognostic implications. However, several pitfalls should be kept in mind when using this modality. We report a case of EC on a 64-year-old woman, identified preoperatively without MI based on ultrasonography and MRI, implying a low risk of lymph node metastasis; surprisingly, the uterine incision showed the lesion had invaded <50% of the myometrium. Thus, a total laparoscopic hysterectomy and bilateral salpingo-oophorectomy were performed, and histopathologic analysis confirmed that the EC was on stage IA (cancer is in the endometrium only or less than halfway through the myometrium). In our case, thinning myometrium and uterine atrophy due to aging, multiple leiomyomas, previous curettage, and blood clots were all pitfalls for MRI in detecting MI. By detecting tiny or isointense tumors and depicting distinct vascularity of the malignancy in postmenopausal women, functional MRI techniques such as diffusion-weighted imaging (DWI) and dynamic contrast-enhanced MRI (DCE-MRI) can help reduce pitfalls when assessing MI. Clinicians can employ DWI preoperatively, which is more reliable and superior to DCE-MRI in determining tumor areas without contrast injection and perform a postoperative histopathological examination to confirm MI in EC.
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5
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Schiemer R, Furniss D, Phang S, Seddon AB, Atiomo W, Gajjar KB. Vibrational Biospectroscopy: An Alternative Approach to Endometrial Cancer Diagnosis and Screening. Int J Mol Sci 2022; 23:ijms23094859. [PMID: 35563249 PMCID: PMC9102412 DOI: 10.3390/ijms23094859] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Revised: 04/25/2022] [Accepted: 04/26/2022] [Indexed: 01/27/2023] Open
Abstract
Endometrial cancer (EC) is the sixth most common cancer and the fourth leading cause of death among women worldwide. Early detection and treatment are associated with a favourable prognosis and reduction in mortality. Unlike other common cancers, however, screening strategies lack the required sensitivity, specificity and accuracy to be successfully implemented in clinical practice and current diagnostic approaches are invasive, costly and time consuming. Such limitations highlight the unmet need to develop diagnostic and screening alternatives for EC, which should be accurate, rapid, minimally invasive and cost-effective. Vibrational spectroscopic techniques, Mid-Infrared Absorption Spectroscopy and Raman, exploit the atomic vibrational absorption induced by interaction of light and a biological sample, to generate a unique spectral response: a “biochemical fingerprint”. These are non-destructive techniques and, combined with multivariate statistical analysis, have been shown over the last decade to provide discrimination between cancerous and healthy samples, demonstrating a promising role in both cancer screening and diagnosis. The aim of this review is to collate available evidence, in order to provide insight into the present status of the application of vibrational biospectroscopy in endometrial cancer diagnosis and screening, and to assess future prospects.
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Affiliation(s)
- Roberta Schiemer
- Division of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham NG5 1PB, UK;
- Correspondence:
| | - David Furniss
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK; (D.F.); (S.P.); (A.B.S.)
| | - Sendy Phang
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK; (D.F.); (S.P.); (A.B.S.)
| | - Angela B. Seddon
- Mid-Infrared Photonics Group, George Green Institute for Electromagnetics Research, Faculty of Engineering, University of Nottingham, Nottingham NG7 2RD, UK; (D.F.); (S.P.); (A.B.S.)
| | - William Atiomo
- College of Medicine, Mohammed Bin Rashid University of Medicine and Health Sciences (MBRU), Dubai P.O. Box 505055, United Arab Emirates;
| | - Ketankumar B. Gajjar
- Division of Child Health, Obstetrics and Gynaecology, University of Nottingham, Nottingham NG5 1PB, UK;
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Concin N, Planchamp F, Abu-Rustum NR, Ataseven B, Cibula D, Fagotti A, Fotopoulou C, Knapp P, Marth C, Morice P, Querleu D, Sehouli J, Stepanyan A, Taskiran C, Vergote I, Wimberger P, Zapardiel I, Persson J. European Society of Gynaecological Oncology quality indicators for the surgical treatment of endometrial carcinoma. Int J Gynecol Cancer 2021; 31:1508-1529. [PMID: 34795020 DOI: 10.1136/ijgc-2021-003178] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/20/2021] [Indexed: 11/03/2022] Open
Abstract
BACKGROUND Quality of surgical care as a crucial component of a comprehensive multi-disciplinary management improves outcomes in patients with endometrial carcinoma, notably helping to avoid suboptimal surgical treatment. Quality indicators (QIs) enable healthcare professionals to measure their clinical management with regard to ideal standards of care. OBJECTIVE In order to complete its set of QIs for the surgical management of gynecological cancers, the European Society of Gynaecological Oncology (ESGO) initiated the development of QIs for the surgical treatment of endometrial carcinoma. METHODS QIs were based on scientific evidence and/or expert consensus. The development process included a systematic literature search for the identification of potential QIs and documentation of the scientific evidence, two consensus meetings of a group of international experts, an internal validation process, and external review by a large international panel of clinicians and patient representatives. QIs were defined using a structured format comprising metrics specifications, and targets. A scoring system was then developed to ensure applicability and feasibility of a future ESGO accreditation process based on these QIs for endometrial carcinoma surgery and support any institutional or governmental quality assurance programs. RESULTS Twenty-nine structural, process and outcome indicators were defined. QIs 1-5 are general indicators related to center case load, training, experience of the surgeon, structured multi-disciplinarity of the team and active participation in clinical research. QIs 6 and 7 are related to the adequate pre-operative investigations. QIs 8-22 are related to peri-operative standards of care. QI 23 is related to molecular markers for endometrial carcinoma diagnosis and as determinants for treatment decisions. QI 24 addresses the compliance of management of patients after primary surgical treatment with the standards of care. QIs 25-29 highlight the need for a systematic assessment of surgical morbidity and oncologic outcome as well as standardized and comprehensive documentation of surgical and pathological elements. Each QI was associated with a score. An assessment form including a scoring system was built as basis for ESGO accreditation of centers for endometrial cancer surgery.
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Affiliation(s)
- Nicole Concin
- Department of Gynecology and Obstetrics; Innsbruck Medical Univeristy, Innsbruck, Austria .,Department of Gynecology and Gynecological Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany
| | | | - Nadeem R Abu-Rustum
- Department of Obstetrics and Gynecology, Memorial Sloann Kettering Cancer Center, New York, New York, USA
| | - Beyhan Ataseven
- Department of Gynecology and Gynecological Oncology, Evangelische Kliniken Essen-Mitte, Essen, Germany.,Department of Obstetrics and Gynaecology, University Hospital Munich (LMU), Munich, Germany
| | - David Cibula
- Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University, General University Hospital in Prague, Prague, Czech Republic
| | - Anna Fagotti
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Lazio, Italy
| | - Christina Fotopoulou
- Department of Gynaecologic Oncology, Imperial College London Faculty of Medicine, London, UK
| | - Pawel Knapp
- Department of Gynaecology and Gynaecologic Oncology, University Oncology Center of Bialystok, Medical University of Bialystok, Bialystok, Poland
| | - Christian Marth
- Department of Obstetrics and Gynecology, Innsbruck Medical University, Innsbruck, Austria
| | - Philippe Morice
- Department of Surgery, Institut Gustave Roussy, Villejuif, France
| | - Denis Querleu
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario Agostino Gemelli IRCCS, Roma, Lazio, Italy.,Department of Obstetrics and Gynecologic Oncology, University Hospitals Strasbourg, Strasbourg, Alsace, France
| | - Jalid Sehouli
- Department of Gynecology with Center for Oncological Surgery, Campus Virchow Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universitätzu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Artem Stepanyan
- Department of Gynecologic Oncology, Nairi Medical Center, Yerevan, Armenia
| | - Cagatay Taskiran
- Department of Obstetrics and Gynecology, Koç University School of Medicine, Ankara, Turkey.,Department of Gynecologic Oncology, VKV American Hospital, Istambul, Turkey
| | - Ignace Vergote
- Department of Gynecology and Obstetrics, Gynecologic Oncology, Leuven Cancer Institute, Catholic University Leuven, Leuven, Belgium
| | - Pauline Wimberger
- Department of Gynecology and Obstetrics, Technische Universität Dresden, Dresden, Germany.,National Center for Tumor Diseases (NCT/UCC), Dresden, Germany.,German Cancer Research Center (DKFZ), Heidelberg, Germany.,Faculty of Medicine and University Hospital Carl Gustav Carus, Technische Universität Dresden, Dresden, Germany.,Helmholtz-Zentrum Dresden - Rossendorf (HZDR), Dresden, Germany
| | - Ignacio Zapardiel
- Gynecologic Oncology Unit, La Paz University Hospital - IdiPAZ, Madrid, Spain
| | - Jan Persson
- Department of Obstetrics and Gynecology, Skåne University Hospital, Lund, Sweden.,Lund University, Faculty of Medicine, Clinical Sciences, Lund, Sweden
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7
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Ultrasound Measurement of Tumor-Free Distance from the Serosal Surface as the Alternative to Measuring the Depth of Myometrial Invasion in Predicting Lymph Node Metastases in Endometrial Cancer. Diagnostics (Basel) 2021; 11:diagnostics11081472. [PMID: 34441406 PMCID: PMC8392068 DOI: 10.3390/diagnostics11081472] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2021] [Revised: 08/08/2021] [Accepted: 08/11/2021] [Indexed: 12/29/2022] Open
Abstract
Background: Ultrasonography’s usefulness in endometrial cancer (EC) diagnosis consists in its roles in staging and prediction of metastasis. Ultrasound-measured tumor-free distance from the tumor to the uterine serosa (uTFD) is a promising marker for these diagnostic and prognostic variables. The aim of the study was to determine the usefulness of this biomarker in locoregional staging, and thus in the prediction of lymph node metastasis (LNM). Methods: We conducted a single-institutional, prospective study on 116 consecutive patients with EC who underwent 2D transvaginal ultrasound examination. The uTFD marker was compared with the depth of ultrasound-measured myometrial invasion (uMI). Univariable and multivariable logit models were evaluated to assess the predictive power of the uTFD and uMI in regard to LNM. The reference standard was a final histopathology result. Survival was assessed by the Kaplan–Meier method. Results: LNM was found in 17% of the patients (20/116). In the univariable analysis, uMI and uTFD were significant predictors of LNM. The accuracy was 70.7%, and the NPV was 92.68% (OR 4.746, 95% CI 1.710–13.174) for uMI (p = 0.002), and they were 63.8% and 89.02% (OR 0.842, 95% CI 0.736–0.963), respectively, for uTFD (p = 0.01). The cutoff value for uTFD in the prediction of LNM was 5.2 mm. The association between absence of LNM and biomarker values of uMI < 1/2 and uTFD ≥ 5.2 mm was greater than that between the presence of metastases and uMI > 1/2 and uTFD values <5.2 mm. In the multivariable analysis, the accuracy of the uMI–uTFD model was 74%, and its NPV was 90.24% (p = non-significant). Neither uMI nor uTFD were surrogates for overall and recurrence-free survivals in endometrial cancer. Conclusions: Both uMI and uTFD, either alone or in combination, were valuable tools for gaining additional preoperative information on expected lymph node status. Negative lymph nodes status was better described by ultrasound biomarkers than a positive status. It was easier to use the uTFD rather than the uMI measurement as a biomarker of EC invasion, and the former still maintained a similar predictive value for lymph node metastases to the latter at diagnosis.
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8
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Wang LJ, Tseng YJ, Wee NK, Low JJH, Tan CH. Diffusion-weighted imaging versus dynamic contrast-enhanced imaging for pre-operative diagnosis of deep myometrial invasion in endometrial cancer: A meta-analysis. Clin Imaging 2021; 80:36-42. [PMID: 34224952 DOI: 10.1016/j.clinimag.2021.06.027] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/10/2021] [Revised: 06/17/2021] [Accepted: 06/24/2021] [Indexed: 11/26/2022]
Abstract
PURPOSE This study investigates the differences in diagnostic performance between diffuse-weighted imaging (DWI) and dynamic contrast-enhanced imaging (DCE), either alone or in combination with T2-weighted imaging (T2WI), for diagnosing deep myometrial invasion (dMI) of endometrial cancers (EC). METHODS We performed a comprehensive search for published studies comparing DWI and DCE for preoperatively diagnosing dMI of EC. The overall diagnostic accuracy of each test was calculated using the areas under the summary receiver operating characteristic curves (AUCs). The sensitivities and specificities were compared using bivariate meta-regression. RESULTS Pooled analysis of nineteen studies with 961 patients (main group) showed that DWI had a larger AUC (0.943, 95% confidence interval (CI) = 0.921-0.967) than DCE (0.922, 95% CI = 0.893-0.953). For the subgroup comprising 7 studies, DWI combined with T2WI and DCE combined with T2WI showed AUCs of 0.959 (95% CI, 0.932-0.986) and 0.929 (95% CI, 0.847-1.000), respectively. None of the differences in AUCs were statistically significant. All comparisons of the sensitivities and specificities of the main group and subgroup also showed no significant differences. CONCLUSION This meta-analysis found no significant difference in diagnostic performance between DWI and DCE for diagnosis of dMI in EC. DWI may be preferred for its ease of use in clinical practice.
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Affiliation(s)
- Li-Jen Wang
- Department of Medical Imaging and Intervention, New Taipei Municipal Tu Cheng Hospital, Chang Gung Memorial Hospital and Chang Gung University, No. 5, Fu-Hsing Street, Guishan, 33333 Taoyuan, Taiwan
| | - Yi-Ju Tseng
- Department of Information Management, National Central University, 300, Zhongda Rd., Zhongli District, Taoyuan City 320317, Taiwan.
| | - Nicole Kessa Wee
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, National Healthcare Group, 11 Jalan Tan Tock Seng, 308433, Singapore.
| | - Jeffrey Jen Hui Low
- Division of Gynaecologic Oncology, Department of Obstetrics and Gynaecology, National University Hospital, Head of Gynaecologic Oncology, National University Cancer Institute, Singapore, 5 Lower Kent Ridge Rd, 119074, Singapore.
| | - Cher Heng Tan
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, National Healthcare Group, 11 Jalan Tan Tock Seng, 308433, Singapore; Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore.
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9
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Concin N, Matias-Guiu X, Vergote I, Cibula D, Mirza MR, Marnitz S, Ledermann J, Bosse T, Chargari C, Fagotti A, Fotopoulou C, Martin AG, Lax S, Lorusso D, Marth C, Morice P, Nout RA, O'Donnell D, Querleu D, Raspollini MR, Sehouli J, Sturdza A, Taylor A, Westermann A, Wimberger P, Colombo N, Planchamp F, Creutzberg CL. ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma. Radiother Oncol 2021; 154:327-353. [PMID: 33712263 DOI: 10.1016/j.radonc.2020.11.018] [Citation(s) in RCA: 96] [Impact Index Per Article: 24.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
Abstract
A European consensus conference on endometrial carcinoma was held in 2014 to produce multidisciplinary evidence-based guidelines on selected questions. Given the large body of literature on the management of endometrial carcinoma published since 2014, the European Society of Gynaecological Oncology (ESGO), the European SocieTy for Radiotherapy & Oncology (ESTRO) and the European Society of Pathology (ESP) jointly decided to update these evidence-based guidelines and to cover new topics in order to improve the quality of care for women with endometrial carcinoma across Europe and worldwide. ESGO/ESTRO/ESP nominated an international multidisciplinary development group consisting of practicing clinicians and researchers who have demonstrated leadership and expertise in the care and research of endometrial carcinoma (27 experts across Europe). To ensure that the guidelines are evidence-based, the literature published since 2014, identified from a systematic search was reviewed and critically appraised. In the absence of any clear scientific evidence, judgment was based on the professional experience and consensus of the development group. The guidelines are thus based on the best available evidence and expert agreement. Prior to publication, the guidelines were reviewed by 191 independent international practitioners in cancer care delivery and patient representatives. The guidelines comprehensively cover endometrial carcinoma staging, definition of prognostic risk groups integrating molecular markers, pre- and intra-operative work-up, fertility preservation, management for early, advanced, metastatic, and recurrent disease and palliative treatment. Principles of radiotherapy and pathological evaluation are also defined.
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Affiliation(s)
- Nicole Concin
- Department of Gynecology and Obstetrics, Innsbruck Medical University, Austria; Evangelische Kliniken Essen-Mitte, Germany.
| | - Xavier Matias-Guiu
- Department of Pathology, Hospital Universitari Arnau de Vilanova, University of Lleida, CIBERONC, Irblleida, Spain; Department of Pathology, Hospital Universitari de Bellvitge, University of Barcelona, Idibell, Spain
| | - Ignace Vergote
- Department of Gynecology and Obstetrics, Gynecologic Oncology, Leuven Cancer Institute, Catholic University Leuven, Belgium
| | - David Cibula
- Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University, General University Hospital in Prague, Czech Republic
| | - Mansoor Raza Mirza
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Denmark
| | - Simone Marnitz
- Department of Radiation Oncology, Medical Faculty of the University of Cologne, Germany
| | | | - Tjalling Bosse
- Department of Pathology, Leids Universitair Medisch Centrum, Leiden, Netherlands
| | - Cyrus Chargari
- Department of Radiation Oncology, Institut Gustave Roussy, Villejuif, France
| | - Anna Fagotti
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | - Christina Fotopoulou
- Department of Gynaecologic Oncology, Imperial College London Faculty of Medicine, UK
| | | | - Sigurd Lax
- Department of Pathology, Hospital Graz II, Austria; School of Medicine, Johannes Kepler University Linz, Austria
| | - Domenica Lorusso
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | - Christian Marth
- Department of Obstetrics and Gynecology, Innsbruck Medical University, Austria
| | - Philippe Morice
- Department of Surgery, Institut Gustave Roussy, Villejuif, France
| | - Remi A Nout
- Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | | | - Denis Querleu
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy; Department of Obstetrics and Gynecologic Oncology, University Hospital, Strasbourg, France
| | - Maria Rosaria Raspollini
- Histopathology and Molecular Diagnostics, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Jalid Sehouli
- Department of Gynecology with Center for Oncological Surgery, Campus Virchow Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Germany
| | - Alina Sturdza
- Department of Radiation Oncology, Comprehensive Cancer Center, Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Austria
| | | | - Anneke Westermann
- Department of Medical Oncology, Amsterdam University Medical Centres, Noord-Holland, Netherlands
| | - Pauline Wimberger
- Department of Gynecology and Obstetrics, TU Dresden Medizinische Fakultat Carl Gustav Carus, Germany
| | - Nicoletta Colombo
- Gynecologic Oncology Program, European Institute of Oncology, IRCCS, Milan and University of Milan-Bicocca, Italy
| | | | - Carien L Creutzberg
- Department of Radiation Oncology, Leiden University Medical Center, Leiden Netherlands
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10
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Concin N, Creutzberg CL, Vergote I, Cibula D, Mirza MR, Marnitz S, Ledermann JA, Bosse T, Chargari C, Fagotti A, Fotopoulou C, González-Martín A, Lax SF, Lorusso D, Marth C, Morice P, Nout RA, O'Donnell DE, Querleu D, Raspollini MR, Sehouli J, Sturdza AE, Taylor A, Westermann AM, Wimberger P, Colombo N, Planchamp F, Matias-Guiu X. ESGO/ESTRO/ESP Guidelines for the management of patients with endometrial carcinoma. Virchows Arch 2021; 478:153-190. [PMID: 33604759 DOI: 10.1007/s00428-020-03007-z] [Citation(s) in RCA: 101] [Impact Index Per Article: 25.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/11/2022]
Abstract
A European consensus conference on endometrial carcinoma was held in 2014 to produce multidisciplinary evidence-based guidelines on selected questions. Given the large body of literature on the management of endometrial carcinoma published since 2014, the European Society of Gynaecological Oncology (ESGO), the European SocieTy for Radiotherapy & Oncology (ESTRO) and the European Society of Pathology (ESP) jointly decided to update these evidence-based guidelines and to cover new topics in order to improve the quality of care for women with endometrial carcinoma across Europe and worldwide. ESGO/ESTRO/ESP nominated an international multidisciplinary development group consisting of practicing clinicians and researchers who have demonstrated leadership and expertise in the care and research of endometrial carcinoma (27 experts across Europe). To ensure that the guidelines are evidence-based, the literature published since 2014, identified from a systematic search was reviewed and critically appraised. In the absence of any clear scientific evidence, judgment was based on the professional experience and consensus of the development group. The guidelines are thus based on the best available evidence and expert agreement. Prior to publication, the guidelines were reviewed by 191 independent international practitioners in cancer care delivery and patient representatives. The guidelines comprehensively cover endometrial carcinoma staging, definition of prognostic risk groups integrating molecular markers, pre- and intra-operative work-up, fertility preservation, management for early, advanced, metastatic, and recurrent disease and palliative treatment. Principles of radiotherapy and pathological evaluation are also defined.
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Affiliation(s)
- Nicole Concin
- Department of Gynecology and Obstetrics, Innsbruck Medical University, Innsbruck, Austria. .,Evangelische Kliniken Essen-Mitte, Essen, Germany.
| | - Carien L Creutzberg
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ignace Vergote
- Department of Gynecology and Obstetrics, Gynecologic Oncology, Leuven Cancer Institute, Catholic University Leuven, Leuven, Belgium
| | - David Cibula
- Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University, General University Hospital in Prague, Prague, Czech Republic
| | - Mansoor Raza Mirza
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Simone Marnitz
- Department of Radiation Oncology, Medical Faculty of the University of Cologne, Cologne, Germany
| | | | - Tjalling Bosse
- Department of Pathology, Leids Universitair Medisch Centrum, Leiden, The Netherlands
| | - Cyrus Chargari
- Department of Radiation Oncology, Institut Gustave Roussy, Villejuif, France
| | - Anna Fagotti
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Roma, Italy
| | - Christina Fotopoulou
- Department of Gynaecologic Oncology, Imperial College London Faculty of Medicine, London, UK
| | | | - Sigurd F Lax
- Department of Pathology, Hospital Graz II, Graz, Austria.,School of Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Domenica Lorusso
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Roma, Italy
| | - Christian Marth
- Department of Obstetrics and Gynecology, Innsbruck Medical University, Innsbruck, Austria
| | - Philippe Morice
- Department of Surgery, Institut Gustave Roussy, Villejuif, France
| | - Remi A Nout
- Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
| | | | - Denis Querleu
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Roma, Italy.,Department of Obstetrics and Gynecologic Oncology, University Hospital, Strasbourg, France
| | - Maria Rosaria Raspollini
- Histopathology and Molecular Diagnostics, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Jalid Sehouli
- Department of Gynecology with Center for Oncological Surgery, Campus Virchow Klinikum, Charité-Universitätsmedizin Berlin, Berlin, Germany.,Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Alina E Sturdza
- Department of Radiation Oncology, Comprehensive Cancer Center, Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | | | - Anneke M Westermann
- Department of Medical Oncology, Amsterdam University Medical Centres, Amsterdam, Noord-Holland, The Netherlands
| | - Pauline Wimberger
- Department of Gynecology and Obstetrics, TU Dresden Medizinische Fakultat Carl Gustav Carus, Dresden, Germany
| | - Nicoletta Colombo
- Gynecologic Oncology Program, European Institute of Oncology, IRCCS, Milan and University of Milan-Bicocca, Milan, Italy
| | | | - Xavier Matias-Guiu
- Department of Pathology, Hospital Universitari Arnau de Vilanova, University of Lleida, CIBERONC, Irblleida, Spain.,Department of Pathology, Hospital Universitari de Bellvitge, University of Barcelona, Idibell, Spain
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11
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Stanzione A, Maurea S, Danzi R, Cuocolo R, Galatola R, Romeo V, Raffone A, Travaglino A, Di Spiezio Sardo A, Insabato L, Pace L, Scaglione M, Brunetti A, Mainenti PP. MRI to assess deep myometrial invasion in patients with endometrial cancer:A multi-reader study to evaluate the diagnostic role of different sequences. Eur J Radiol 2021; 138:109629. [PMID: 33713906 DOI: 10.1016/j.ejrad.2021.109629] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2021] [Revised: 02/27/2021] [Accepted: 03/02/2021] [Indexed: 11/28/2022]
Abstract
OBJECTIVE The identification of deep myometrial invasion (DMI) represents a fundamental aspect in patients with endometrial cancer (EC) for accurate disease staging. It can be detected on MRI using T2-weighted (T2-w), diffusion weighted (DWI) and dynamic contrast enhanced sequences (DCE). Aim of the study was to perform a multi-reader evaluation of such sequences to identify the most accurate and its reliability for the best protocol. METHODS In this multicenter retrospective study, MRI were independently evaluated by 4 radiologists (2 senior and 2 novice) with a sequence-based approach to identify DMI. The performance of the entire protocol was also evaluated. A comparison between the different sequences assessed by the same reader was performed using receiver operating curve and post-hoc analysis. Intraclass Correlation Coefficient (ICC) was used to assess inter- and intra-observer variability. RESULTS A total of 92 patients were included. The performance of the readers did not show significant differences among DWI, DCE and the entire protocol. For only one senior radiologist, who reached the highest diagnostic accuracy with the entire protocol (82,6 %), both DWI (p = 0,0197) and entire protocol (p = 0,0039) were found significantly superior to T2-w. The highest inter-observer agreement was obtained with the entire protocol by expert readers (ICC = 0,77). CONCLUSIONS For the detection of DMI, the performances of DWI and DCE alone and that of a complete protocol do not significantly differ, even though the latter ensures the highest reliability particularly for expert readers. In cases in which T2-w and DWI are consistent, an unenhanced protocol could be proposed.
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Affiliation(s)
- Arnaldo Stanzione
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Simone Maurea
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Roberta Danzi
- Department of Radiology, "Pineta Grande" Hospital, Castel Volturno, CE, Italy
| | - Renato Cuocolo
- Department of Clinical Medicine and Surgery, University of Naples "Federico II", Naples, Italy
| | - Roberta Galatola
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy.
| | - Valeria Romeo
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Antonio Raffone
- Department of Neuroscience, Reproductive Sciences and Dentistry, University of Naples "Federico II", Naples, Italy
| | - Antonio Travaglino
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | | | - Luigi Insabato
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Leonardo Pace
- Department of Medicine, Surgery and Dentistry, "Scuola Medica Salernitana", University of Salerno, Italy
| | - Mariano Scaglione
- Department of Radiology, "Pineta Grande" Hospital, Castel Volturno, CE, Italy; Teeside University & Department of Radiology, James Cook University Hospital, Marton Rd, Middlesbrough, TS4 3BW, UK
| | - Arturo Brunetti
- Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples, Italy
| | - Pier Paolo Mainenti
- Institute of Biostructures and Bioimaging of the National Research Council, Naples, Italy
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12
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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: 1.5] [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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13
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Concin N, Matias-Guiu X, Vergote I, Cibula D, Mirza MR, Marnitz S, Ledermann J, Bosse T, Chargari C, Fagotti A, Fotopoulou C, Gonzalez Martin A, Lax S, Lorusso D, Marth C, Morice P, Nout RA, O'Donnell D, Querleu D, Raspollini MR, Sehouli J, Sturdza A, Taylor A, Westermann A, Wimberger P, Colombo N, Planchamp F, Creutzberg CL. ESGO/ESTRO/ESP guidelines for the management of patients with endometrial carcinoma. Int J Gynecol Cancer 2020; 31:12-39. [PMID: 33397713 DOI: 10.1136/ijgc-2020-002230] [Citation(s) in RCA: 958] [Impact Index Per Article: 191.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2020] [Accepted: 11/16/2020] [Indexed: 12/13/2022] Open
Abstract
A European consensus conference on endometrial carcinoma was held in 2014 to produce multi-disciplinary evidence-based guidelines on selected questions. Given the large body of literature on the management of endometrial carcinoma published since 2014, the European Society of Gynaecological Oncology (ESGO), the European SocieTy for Radiotherapy and Oncology (ESTRO), and the European Society of Pathology (ESP) jointly decided to update these evidence-based guidelines and to cover new topics in order to improve the quality of care for women with endometrial carcinoma across Europe and worldwide.
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Affiliation(s)
- Nicole Concin
- Department of Gynecology and Obstetrics, Innsbruck Medical University, Innsbruck, Austria .,Evangelische Kliniken Essen-Mitte, Essen, Germany
| | - Xavier Matias-Guiu
- Department of Pathology, Hospital Universitari Arnau de Vilanova, University of Lleida, CIBERONC, Irblleida, Spain.,Department of Pathology, Hospital Universitari de Bellvitge, University of Barcelona, Idibell, Spain
| | - Ignace Vergote
- Department of Gynecology and Obstetrics, Gynecologic Oncology, Leuven Cancer Institute, Catholic University Leuven, Leuven, Belgium
| | - David Cibula
- Department of Obstetrics and Gynecology, First Faculty of Medicine, Charles University, General University Hospital in Prague, Prague, Czech Republic
| | - Mansoor Raza Mirza
- Department of Oncology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Simone Marnitz
- Department of Radiation Oncology, Medical Faculty of the University of Cologne, Cologne, Germany
| | | | - Tjalling Bosse
- Department of Pathology, Leids Universitair Medisch Centrum, Leiden, Netherlands
| | - Cyrus Chargari
- Department of Radiation Oncology, Institut Gustave Roussy, Villejuif, France
| | - Anna Fagotti
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | - Christina Fotopoulou
- Department of Gynaecologic Oncology, Imperial College London Faculty of Medicine, London, UK
| | | | - Sigurd Lax
- Department of Pathology, Hospital Graz II, Graz, Austria.,School of Medicine, Johannes Kepler University Linz, Linz, Austria
| | - Domenica Lorusso
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy
| | - Christian Marth
- Department of Obstetrics and Gynecology, Innsbruck Medical University, Innsbruck, Austria
| | - Philippe Morice
- Department of Surgery, Institut Gustave Roussy, Villejuif, France
| | - Remi A Nout
- Department of Radiotherapy, Erasmus MC Cancer Institute, Rotterdam, Netherlands
| | | | - Denis Querleu
- Division of Gynecologic Oncology, Fondazione Policlinico Universitario A Gemelli IRCCS, Rome, Italy.,Department of Obstetrics and Gynecologic Oncology, University Hospital, Strasbourg, France
| | - Maria Rosaria Raspollini
- Histopathology and Molecular Diagnostics, Azienda Ospedaliero Universitaria Careggi, Florence, Italy
| | - Jalid Sehouli
- Department of Gynecology with Center for Oncological Surgery, Campus Virchow Klinikum, Charité-Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin, Humboldt-Universität zu Berlin and Berlin Institute of Health, Berlin, Germany
| | - Alina Sturdza
- Department of Radiation Oncology, Comprehensive Cancer Center, Christian Doppler Laboratory for Medical Radiation Research for Radiation Oncology, Medical University of Vienna, Vienna, Austria
| | | | - Anneke Westermann
- Department of Medical Oncology, Amsterdam University Medical Centres, Amsterdam, Noord-Holland, Netherlands
| | - Pauline Wimberger
- Department of Gynecology and Obstetrics, TU Dresden Medizinische Fakultat Carl Gustav Carus, Dresden, Germany
| | - Nicoletta Colombo
- Gynecologic Oncology Program, European Institute of Oncology, IRCCS, Milan and University of Milan-Bicocca, Milan, Italy
| | | | - Carien L Creutzberg
- Department of Radiation Oncology, Leiden University Medical Center, Leiden, Netherlands
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14
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Xu J, Chen C, Xiong J, Linghu H. Differential Impact of Systemic Lymphadenectomy Upon the Survival of Patients with Type I vs Type II Endometrial Cancer: A Retrospective Observational Cohort Study. Cancer Manag Res 2020; 12:12269-12276. [PMID: 33299347 PMCID: PMC7721119 DOI: 10.2147/cmar.s280780] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2020] [Accepted: 11/04/2020] [Indexed: 12/26/2022] Open
Abstract
PURPOSE To determine whether systemic lymphadenectomy exerts a similar effect on the survival of patients with either type I or type II endometrial cancer (EC). PATIENTS AND METHODS In this retrospective study, 682 eligible patients diagnosed with EC were typed according to the pathological reports. The thoroughness of lymphadenectomy was evaluated by the lymph node number of which the cut-off value was determined by the receiver operator characteristic (ROC) curve and Youden index. The impact of thoroughness on the survival of both types was analyzed, respectively, by Kaplan Meier (K-M) method and further evaluated in subgroups with and without lymphatic metastasis. Independent prognostic factors of survival were selected by proportional hazard regression (Cox) model. RESULTS The cut-off level of lymph node number was 20. The differential impact of the lymph node number removed on survival was noted when patients with different types were analyzed separately. Among type II EC, those with >20 lymph nodes removed presented better overall survival (OS) than those with ≤20 (p=0.002). The number of lymph nodes removed >20 was proved as an independent factor for improved OS in type II EC (HR=0.329,95% CI: 0.123-0.881, p=0.0027). In the subgroup of type II with >20 lymph nodes resected, similar 5-year OS rates were observed in those with or without identified positive node (90.9% vs 92.9%, p=0.965). Type I EC seemed unbeneficial from such a procedure. CONCLUSION Systemic lymphadenectomy could enhance the OS of type II EC other than type I.
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Affiliation(s)
- Jie Xu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing400016, People’s Republic of China
- The First Clinical College, Chongqing Medical University, Chongqing400016, People’s Republic of China
| | - Can Chen
- Department of Obstetrics and Gynecology, Chengdu Women & Children’s Central Hospital, Sichuan, 610091, People’s Republic of China
- School of Medicine, University of Electronic Science and Technology of China, Chengdu611731, People’s Republic of China
| | - Jing Xiong
- Department of Obstetrics and Gynecology, Chongqing Health Center for Women and Children, Chongqing400021, People’s Republic of China
| | - Hua Linghu
- Department of Obstetrics and Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing400016, People’s Republic of China
- The First Clinical College, Chongqing Medical University, Chongqing400016, People’s Republic of China
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15
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Arian A, Easa AM, Arab-Ahmadi M. Diagnostic value of diffusion-weighted magnetic resonance imaging in discriminating between metastatic and non-metastatic pelvic lymph nodes in endometrial cancer. Acta Radiol 2020; 61:1580-1586. [PMID: 32106683 DOI: 10.1177/0284185120906660] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND Researchers have recently focused on assessing the accuracy of diffusion-weighted magnetic resonance imaging (DW-MRI) in predicting pelvic lymph node metastases in gynecological malignancies. PURPOSE To evaluate the diagnostic value of DW-MRI in discriminating between metastatic and non-metastatic pelvic lymph nodes in endometrial cancer patients. MATERIAL AND METHODS This retrospective database study was conducted with 33 women aged 30-84 years with pathologically proven endometrial cancer that had been assessed by DW-MRI before their first treatment initiation at our referral hospital from March 2016 to April 2019. The diffusion technique (b = 50, 400, and 1000 mm2/s) was used in the imaging, and continuous apparent diffusion coefficient (ADC) metrics (ADCmin, ADCmax, ADCmean, ADCSD, and rADC) were compared between the metastatic and non-metastatic lymph nodes. RESULTS In total, 48 lymph nodes from 33 patients were assessed. All metastatic lymph nodes were restricted, while among the non-metastatic lymph nodes, only 19.3% were restricted. Considering pathological reports of metastatic and non-metastatic lymph nodes as the gold standard, DWI-related restricted and non-restricted features had a sensitivity of 80.6%, a specificity of 100%, and an accuracy of 87.5% to discriminate between a metastatic and non-metastatic pattern. ADC metrics of ADCmin, ADCmax, ADCmean, ADCSD, and rADC showed high values enabling differentiation between metastatic and non-metastatic lymph nodes. The best cut-off values were 0.7 × 10-3, 1.2 × 10-3, 1.01 × 10-3, 123, and 0.78, respectively. CONCLUSION DW-MRI is a useful quantitative tool for differentiating between metastatic and benign lymph nodes in endometrial cancer patients.
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Affiliation(s)
- Arvin Arian
- Department of Radiology, Advanced Diagnostic and Interventional Radiologic Research Center (ADIR), Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Ahmed Mohamedbaqer Easa
- Department of Technology of Radiology and Radiotherapy, Allied Medical Sciences School, Tehran University of Medical Sciences, Tehran, Iran
| | - Mehran Arab-Ahmadi
- Department of Radiology, Advanced Diagnostic and Interventional Radiologic Research Center (ADIR), Imam Khomeini Hospital, Tehran University of Medical Sciences, Tehran, Iran
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16
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The Diagnostic Value of MRI for Preoperative Staging in Patients with Endometrial Cancer: A Meta-Analysis. Acad Radiol 2020; 27:960-968. [PMID: 31636004 DOI: 10.1016/j.acra.2019.09.018] [Citation(s) in RCA: 47] [Impact Index Per Article: 9.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2019] [Revised: 09/14/2019] [Accepted: 09/14/2019] [Indexed: 12/15/2022]
Abstract
OBJECTIVES To assess the diagnostic accuracy of magnetic resonance imaging (MRI) for detecting myometrial invasion, cervical invasion, and lymph node metastases in endometrial cancer. MATERIALS AND METHODS A systematic literature search was performed in PubMed, Embase, Cochrane Library, Web of Science, and Clinical trials. The methodological quality of each study was assessed by using the standard Quality Assessment of Diagnostic Accuracy Studies-2. Statistical analysis included evaluating publication bias, assessing threshold effect, exploring heterogeneity, pooling data, meta-regression, forest plot, and summary receiver-operating characteristics curves construction. RESULTS Fourteen studies could be analyzed. For detecting deep myometrial invasion, the pooled sensitivity and specificity were 0.79 and 0.81 respectively, and patients younger than 60 years old demonstrated higher sensitivity (0.84) and specificity (0.90). The diagnostic accuracy is highest by jointly using T2-weighted image, dynamic contrast-enhanced MRI, and diffusion weighted imaging to detect the deep myometrial invasion. There were low sensitivity and high specificity for the diagnosis of cervical invasion (0.53, 0.95), cervical stromal invasion (0.50, 0.95), pelvic or/and para-aortic lymph node metastases (0.59, 0.95), and pelvic lymph node metastases (0.65, 0.95). CONCLUSION MRI has good diagnostic performance for assessing myometrial invasion in patients with endometrial cancer, especially in patients younger than 60 years old. Dynamic contrast-enhanced MRI and diffusion weighted imaging can help improve sensitivity and specificity for detecting myometrial invasion. MRI shows high specificity for detecting cervical invasion and lymph node metastases in endometrial cancer.
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17
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Song JC, Lu SS, Zhang J, Liu XS, Luo CY, Chen T. Quantitative assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a comparative analysis with diffusion-weighted imaging. Diagn Interv Radiol 2020; 26:74-81. [PMID: 32071025 PMCID: PMC7051262 DOI: 10.5152/dir.2019.18366] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2018] [Revised: 02/01/2019] [Accepted: 06/26/2019] [Indexed: 12/17/2022]
Abstract
PURPOSE We aimed to investigate histogram analysis of diffusion kurtosis imaging (DKI) and conventional diffusion-weighted imaging (DWI) to distinguish between deep myometrial invasion and superficial myometrial invasion in endometrial carcinoma (EC). METHODS A total of 118 pathologically confirmed EC patients with preoperative DWI were included. The data were postprocessed with a DKI (b value of 0, 700, 1400, and 2000 s/mm2) model for quantitation of apparent diffusion values (D) and apparent kurtosis coefficient values (K) for non-Gaussian distribution. The apparent diffusion coefficient (ADC) was postprocessed with a conventional DWI model (b values of 0 and 800 s/mm2). A whole-tumor analysis approach was used. Comparisons of the histogram parameters of D, K, and ADC were carried out for the deep myometrial invasion and superficial myometrial invasion subgroups. Diagnostic performance of the imaging parameters was assessed. RESULTS The Dmean, D10th, and D90th in deep myometrial invasion group were significantly lower than those in superficial invasion group (P < 0.001, P < 0.001, and P = 0.023, respectively), as well as the ADCmean, ADC10th, and ADC90th (P = 0.001, P = 0.001, and P = 0.042, respectively). The Kmean and K90th were significantly higher in deep invasion group than those in superficial myometrial invasion group (P = 0.002 and P = 0.026, respectively). The D10th, Kmean, and ADC10th had a relatively higher area under the curve (AUC) (0.72, 0.66, and 0.71, respectively) than other parameters for distinguishing deep myometrial invasion of EC. D10th showed a relatively higher AUC than ADC10th for the differentiation of lesions with deep myometrial invasion from those with superficial myometrial invasion (0.72 vs. 0.71), but the variation was not statistically significant (P = 0.35). CONCLUSION Distribution of DKI and conventional DWI parameters characterized by histogram analysis may represent an indicator for deep myometrial invasion in EC. Both DKI and DWI models showed relatively equivalent effectiveness.
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Affiliation(s)
- Jia-Cheng Song
- From the Departments of Radiology (J.C.S., S.S.L., J.Z., X.S.L., T.C. ) and Gynecology and Obstetrics (C.Y.L.), First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Shan-Shan Lu
- From the Departments of Radiology (J.C.S., S.S.L., J.Z., X.S.L., T.C. ) and Gynecology and Obstetrics (C.Y.L.), First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jing Zhang
- From the Departments of Radiology (J.C.S., S.S.L., J.Z., X.S.L., T.C. ) and Gynecology and Obstetrics (C.Y.L.), First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xi-Sheng Liu
- From the Departments of Radiology (J.C.S., S.S.L., J.Z., X.S.L., T.C. ) and Gynecology and Obstetrics (C.Y.L.), First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Cheng-Yan Luo
- From the Departments of Radiology (J.C.S., S.S.L., J.Z., X.S.L., T.C. ) and Gynecology and Obstetrics (C.Y.L.), First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Ting Chen
- From the Departments of Radiology (J.C.S., S.S.L., J.Z., X.S.L., T.C. ) and Gynecology and Obstetrics (C.Y.L.), First Affiliated Hospital of Nanjing Medical University, Nanjing, China
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Xu X, Li H, Wang S, Fang M, Zhong L, Fan W, Dong D, Tian J, Zhao X. Multiplanar MRI-Based Predictive Model for Preoperative Assessment of Lymph Node Metastasis in Endometrial Cancer. Front Oncol 2019; 9:1007. [PMID: 31649877 PMCID: PMC6794606 DOI: 10.3389/fonc.2019.01007] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2019] [Accepted: 09/18/2019] [Indexed: 12/29/2022] Open
Abstract
Introduction: Assessment of lymph node metastasis (LNM) is crucial for treatment decision and prognosis prediction for endometrial cancer (EC). However, the sensitivity of the routinely used magnetic resonance imaging (MRI) is low in assessing normal-sized LNM (diameter, 0-0.8 cm). We aimed to develop a predictive model based on magnetic resonance (MR) images and clinical parameters to predict LNM in normal-sized lymph nodes (LNs). Materials and Methods: A total of 200 retrospective patients were enrolled and divided into a training cohort (n = 140) and a test cohort (n = 60). All patients underwent preoperative MRI and had pathological result of LNM status. In total, 4,179 radiomic features were extracted. Four models including a clinical model, a radiomic model, and two combined models were built. Area under the receiver operating characteristic (ROC) curves (AUC) and calibration curves were used to assess these models. Subgroup analysis was performed according to LN size. All patients underwent surgical staging and had pathological results. Results: All of the four models showed predictive ability in LNM. One of the combined models, ModelCR1, consisting of radiomic features, LN size, and cancer antigen 125, showed the best discrimination ability on the training cohort [AUC, 0.892; 95% confidence interval [CI], 0.834-0.951] and test cohort (AUC, 0.883; 95% CI, 0.786-0.980). The subgroup analysis showed that this model also indicated good predictive ability in normal-sized LNs (0.3-0.8 cm group, accuracy = 0.846; <0.3 cm group, accuracy = 0.849). Furthermore, compared with the routinely preoperative MR report, the sensitivity and accuracy of this model had a great improvement. Conclusions: A predictive model was proposed based on MR radiomic features and clinical parameters for LNM in EC. The model had a good discrimination ability, especially for normal-sized LNs.
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Affiliation(s)
- Xiaojuan Xu
- Department of Diagnostic Imaging, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Hailin Li
- CAS Key Lab of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
- School of Automation, Harbin University of Science and Technology, Harbin, China
| | - Siwen Wang
- CAS Key Lab of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Mengjie Fang
- CAS Key Lab of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Lianzhen Zhong
- CAS Key Lab of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Wenwen Fan
- Department of Diagnostic Imaging, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Di Dong
- CAS Key Lab of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China
| | - Jie Tian
- CAS Key Lab of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing, China
- Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing, China
| | - Xinming Zhao
- Department of Diagnostic Imaging, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
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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: 21.0] [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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Elsammak A, Shehata S, Abulezz M, Gouhar G. Efficiency of diffusion weighted magnetic resonance in differentiation between benign and malignant endometrial lesions. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2017. [DOI: 10.1016/j.ejrnm.2017.02.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/20/2022] Open
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Nougaret S, Lakhman Y, Vargas HA, Colombo PE, Fujii S, Reinhold C, Sala E. From Staging to Prognostication. Magn Reson Imaging Clin N Am 2017; 25:611-633. [DOI: 10.1016/j.mric.2017.03.010] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
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Gong Y, Wang Q, Dong L, Jia Y, Hua C, Mi F, Li C. Different imaging techniques for the detection of pelvic lymph nodes metastasis from gynecological malignancies: a systematic review and meta-analysis. Oncotarget 2017; 8:14107-14125. [PMID: 27802186 PMCID: PMC5355166 DOI: 10.18632/oncotarget.12959] [Citation(s) in RCA: 22] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2016] [Accepted: 10/22/2016] [Indexed: 02/05/2023] Open
Abstract
OBJECTIVE This study aimed to evaluate the diagnostic performance of different imaging techniques and the corresponding diagnostic criteria for preoperative detection of pelvic lymph node metastasis from gynecological carcinomas. METHODS Six databases were systematically searched for retrieving eligible studies. Study inclusion, data extraction and risk of bias assessment were performed by 2 reviewers independently. STATA 14.0 was used to perform the meta-analysis. RESULTS Eighty eligible studies were collected. The pooled sensitivity, specificity, and area under curve (AUC) of CT, MRI and DWI were 47%, 93%, 0.7424; 50%, 95%, 0.8039 and 84%, 95%, 0.9523 respectively. As regards PET, PET-CT and US, the pooled sensitivity, specificity and AUC were 56%, 97%, 0.9592; 68%, 97%, 0.9363 and 71%, 99%, 0.9008 respectively. The summary receiver operating characteristic (SROC) curve indicated that the systematic diagnostic performances of PET, PET-CT, DWI were superior to other imaging modalities. CONCLUSIONS The present work demonstrated that DWI, PET, PET-CT were the top-priority consideration of imaging modalities for detecting metastatic pelvic lymph node in gynecological carcinoma. DWI was recommended as the first choice for metastasis exclusion and all the other imaging techniques including CT and MRI were suitable for metastasis conformation. However, for the early stage lymph node malignancy, PET or PET-CT could represent a better choice. More studies exploring the diagnostic efficacy of detailed criteria are required in the future.
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Affiliation(s)
- Yi Gong
- Department of Obstetrics and Gynaecology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Qingming Wang
- Department of Hematology, The Second Affiliated Hospital of Nanchang University, Nanchang, Jiangxi, China
| | - Li Dong
- Department of Cardiology, The Second Affiliated Hospital of Southwest Medical University, Lu Zhou, Sichuan, China
| | - Yiping Jia
- Department of Ultrasound, No.4 West China Teaching Hospital, Sichuan University, Chengdu, China
| | - Chengge Hua
- Department of Oral and Maxillofacial Surgery, Department of Evidence-based Dentistry, West China Hospital of Stomatology, State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, China
| | - Fanglin Mi
- Department of Stomatology, Affiliated Hospital of North Sichuan Medical College, Nanchong, Sichuan, China
| | - Chunjie Li
- Department of Head and Neck Oncology, Department of Evidence-based Dentistry, West China Hospital of Stomatology, State Key Laboratory of Oral Diseases, Sichuan University, Chengdu, China
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Lin G, Huang YT, Chao A, Lin YC, Yang LY, Wu RC, Lu HY, Ng SH, Ng KK, Lai CH. Endometrial cancer with cervical stromal invasion: diagnostic accuracy of diffusion-weighted and dynamic contrast enhanced MR imaging at 3T. Eur Radiol 2016; 27:1867-1876. [DOI: 10.1007/s00330-016-4583-0] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2016] [Revised: 08/22/2016] [Accepted: 08/26/2016] [Indexed: 01/14/2023]
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Lu R, Guixia S. Research into the Value of B-Mode Ultrasound, CT and MRI Examinations in the Diagnosis of Preoperative Myometrial Infiltration of Endometrial Cancer and Lymph Node Metastasis. Open Med (Wars) 2015; 10:388-393. [PMID: 28352724 PMCID: PMC5368860 DOI: 10.1515/med-2015-0068] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2015] [Accepted: 09/23/2015] [Indexed: 11/20/2022] Open
Abstract
This study is conducted to observe the diagnostic value of B-mode ultrasound, CT and MRI examinations in preoperative myometrial infiltration of endometrial cancer and lymph node metastasis. Retrospectively analyze 50 cases of the patients from Oct. 2010 to Aug. 2013. Before operation all the patients received dilatation & curettage to determine pathological diagnosis and clinical staging. There were 150 cases of patients who received B-mode ultrasound examination, wherein, 93 cases received CT examination and 57 cases received MRI examination as well. In the diagnosis of MIEC the diagnostic indicies of individual MRI examination were higher than that of individual B-mode ultrasound and CT examinations. Consistency of individual MRI examination with pathological diagnosis was significantly higher than that of B-mode and CT examinations. The sensitivity of CT and MRI was significantly higher than that of B-mode ultrasound examination. However, diagnostic indicators of B-mode ultrasound and CT joint examination were higher than B-mode ultrasound examination alone. The consistency of both with pathological diagnosis was significantly increased. B-mode and CT can significantly improve the diagnostic accuracy and has a good consistency with pathological diagnosis, thereby applicable to the clinical diagnosis of preoperative myometrial infiltration of endometrial cancer and lymph node metastasis.
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Affiliation(s)
- Ren Lu
- Huaihe Hospital of Henan University, 475000, China
| | - Sun Guixia
- Huaihe Hospital of Henan University, Henan, China
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Differential diagnosis between metastatic and non-metastatic lymph nodes using DW-MRI: a meta-analysis of diagnostic accuracy studies. J Cancer Res Clin Oncol 2014; 141:1119-30. [PMID: 25515409 DOI: 10.1007/s00432-014-1895-9] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2014] [Accepted: 12/02/2014] [Indexed: 12/20/2022]
Abstract
PURPOSES The purpose of our meta-analysis was to assess the overall diagnostic value of diffusion-weighted magnetic resonance imaging (DW-MRI) in detecting node metastases and investigate whether the apparent diffusion coefficient (ADC) value could be used to discriminate between metastatic and non-metastatic lymph nodes in patients with primary tumors. MATERIALS AND METHODS The meta-analysis included a total of 1,748 metastatic and 6,547 non-metastatic lymph nodes from 39 studies, including 8 different tumor types with lymph node metastases. RESULTS The pooled sensitivity and specificity of DW-MRI were 0.82 (95 % CI 0.76-0.87) and 0.92 (95 % CI 0.88-0.94), respectively. The positive likelihood ratio (PLR), negative likelihood ratio (NLR), and the area under the curve were 9.8 (95 % CI 6.9-14.0), 0.20 (95 % CI 0.15-0.26) and 0.93 (95 % CI 0.91-0.95), respectively. The probability of 42 % can be viewed as the cutoff pretest probability for DW-MRI to diagnosis lymph node metastases; when the more chance of metastatic increased from 42 % that the pretest probability was estimated, it was more suitable to emphasize on "ruling in," on the contrary, and when the more chance of metastatic decreased from 42 %, it was more suitable to emphasize on "ruling out." Furthermore, the mean ADC value of metastatic lymph nodes was significantly lower than that of non-metastatic (P = 0.001). CONCLUSIONS DW-MRI is useful for differentiation between metastatic and non-metastatic lymph nodes. However, DW-MRI has a moderate diagnostic value for physician's decision making when PLR and NLR took into consideration, while a superior ability for nodal metastases confirmation, but an inferior ability for ruling out. In the future, large-scale, high-quality trials are necessary to evaluate, respectively, their clinical value in different tumor types with nodal metastases.
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