MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer

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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Comparison of MRI findings with actual HPE findings in case of carcinoma endometrium

10.1055/s-0039-1685340 ◽

2016 ◽

Author(s):

Shaveta Gupta

Keyword(s):

Endometrial Cancer ◽

Lymph Node ◽

Myometrial Invasion ◽

Lymph Node Involvement ◽

Common Finding ◽

Mri Findings ◽

Pelvic Mri ◽

Histopathological Findings ◽

Node Involvement ◽

Cervical Involvement

Objectives: The objectives of this study is to investigate the correlation of magnetic resonance imaging (MRI) in predicting the depth of myometrial invasion, cervical involvement and lymph node involvement and actual histopathological findings in the women with endometrial cancer. Methods: This is a reterospective study of the patients of endometrial cancer from Nov 2011 to Jan 2016 who underwent Surgery (Total abdominal Hystrectomy with B/l salpingoophorectomy with peritoneal washings with b/l pelvic lymphadenectomy with or without para aortic lymphadenectomy) at our centre Max Superspeciality Hospital. CE MRI Pelvis has been done pre operatively in every patient. After the surgery Histopathological reports of the specimen checked and compared with MRI findings of that case. The purpose of the study is to evaluate the validity of MRI findings of endometrial cancer in comparison to final histopathological findings. Results: For the detection of myometrial invasion, overall sensitivity of MRI is 93.9%, specificity is 66.6%, for cervical involvement Senstivity is 60% and specificity 1s 93.75% and for detection of lymph node involvement sensitivity is 66.6% and specificity is 93.5%. Most common Finding on MRI is thickened endometrium with disruption of Junction jone. Conclusions: Preoperative pelvic MRI is a sensitive method of identifying invasion to the myometrium in endometrial cancer. MRI Is a sensitive noninvasive modality in predicting locoregional spread in ca endometrium. Senstivity in detecting Myometrial invasion is high but sensitivity is less in detecting cervical involvement and lymph node involvement is less.

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PET Parameters are Useful in Predicting Endometrial Cancer Risk Classes and Prognosis

Nuklearmedizin ◽

10.1055/a-1267-8976 ◽

2020 ◽

Author(s):

Adnan Budak ◽

Emrah Beyan ◽

Abdurrahman Hamdi Inan ◽

Ahkam Göksel Kanmaz ◽

Onur Suleyman Aldemir ◽

...

Keyword(s):

Endometrial Cancer ◽

High Risk ◽

Myometrial Invasion ◽

Risk Groups ◽

Total Sample ◽

Tumor Stage ◽

Low Risk ◽

Tumor Diameter ◽

Grade 3 ◽

Fdg Pet Ct

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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O69: THE SENTINEL LYMPH NODE TECHNIQUE IN THE ENDOMETRIAL CANCER

British Journal of Surgery ◽

10.1093/bjs/znab117.069 ◽

2021 ◽

Vol 108 (Supplement_1) ◽

Author(s):

H Bouaziz ◽

S Sghaier ◽

M Slimane ◽

L Zabaar ◽

H Bouzaiene ◽

...

Keyword(s):

Endometrial Cancer ◽

Lymph Node ◽

Sentinel Lymph Node ◽

Predictive Value ◽

Gynecological Cancer ◽

Myometrial Invasion ◽

Pelvic Mri ◽

Patent Blue ◽

Paraaortic Lymphadenectomy ◽

Medicine Physician

Abstract Introduction The sentinel lymph node (SLN) concept represents advancement in the management of the endometrial cancer (EC). We aim to assess the performance of the SLN procedure; its positive predictive value (PPV) and negative predictive value (NPV); in stage I of EC (FIGO2009). Method A prospective study is conducted in our institution. We perform a double detection of the SLN (radiolabel Tc 99 microsulfur colloid and a color method using patent blue) followed by pelvic lymphadenectomy with or without paraaortic lymphadenectomy. A pelvic MRI is performed to determine myometrial invasion and nodal status. The injection of Tc 99m colloid occurs the day prior to surgery. The injection into the stroma of the cervix at the 3 and 9 o'clock positions was performed by an oncologist surgeon with the assistance of a nuclear medicine physician. Preoperative lymphoscintigraphy was obtained after 90-120 minutes. We inject into the cervical stroma 2cc of patent blue similar to the Tc99 injection. A gamma detecting probe is used to locate radioactive lymph nodes. The SLNs identified then are labelled as radioactive and/or blue. No frozen-section analysis was performed. Results For the pathological analysis of the SLN, Haematoxylin Eosin is used. If there is no metastasis detected, an ultra staging protocol using different anti-cytokeratines is conducted. Studies have shown that this approach is possible having satisfactory results when conducted by dedicated surgical, radiology and pathology team. We look forward to our outcomes to illustrate those results. Take-home message Sentinel lymph node is a good alternative for gynecological cancer

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Intraoperative Gross Examination and Intraoperative Frozen Section in Patients With Endometrial Cancer for Detecting Deep Myometrial Invasion

International Journal of Gynecological Cancer ◽

10.1097/igc.0000000000000618 ◽

2016 ◽

Vol 26 (2) ◽

pp. 407-415 ◽

Cited By ~ 14

Author(s):

Juan Luis Alcazar ◽

Jaime Dominguez-Piriz ◽

Leire Juez ◽

Maria Caparros ◽

Matias Jurado

Keyword(s):

Endometrial Cancer ◽

Frozen Section ◽

Myometrial Invasion ◽

Intraoperative Frozen Section ◽

Deep Myometrial Invasion ◽

Gross Examination

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Radiomic machine learning for pretreatment assessment of prognostic risk factors for endometrial cancer and its effects on radiologists' decisions of deep myometrial invasion

Magnetic Resonance Imaging ◽

10.1016/j.mri.2021.10.024 ◽

2021 ◽

Author(s):

Satoshi Otani ◽

Yuki Himoto ◽

Mizuho Nishio ◽

Koji Fujimoto ◽

Yusaku Moribata ◽

...

Keyword(s):

Machine Learning ◽

Risk Factors ◽

Endometrial Cancer ◽

Myometrial Invasion ◽

Pretreatment Assessment ◽

Deep Myometrial Invasion ◽

Prognostic Risk Factors

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Lymph Node Metastasis in Patients With Endometrioid Endometrial Cancer: Overtreatment Is the Main Issue

International Journal of Gynecological Cancer ◽

10.1097/igc.0000000000000937 ◽

2017 ◽

Vol 27 (4) ◽

pp. 748-753 ◽

Cited By ~ 8

Author(s):

Alper Karalok ◽

Taner Turan ◽

Derman Basaran ◽

Osman Turkmen ◽

Gunsu Comert Kimyon ◽

...

Keyword(s):

Endometrial Cancer ◽

Lymph Node ◽

Lymph Node Metastasis ◽

Histological Grade ◽

Myometrial Invasion ◽

Lymph Node Involvement ◽

Node Metastasis ◽

Deep Myometrial Invasion ◽

Endometrioid Endometrial Cancer ◽

Grade 3

ObjectiveThe aim of this study was to evaluate the effectiveness of histological grade, depth of myometrial invasion, and tumor size to identify lymph node metastasis (LNM) in patients with endometrioid endometrial cancer (EC).MethodsA retrospective computerized database search was performed to identify patients who underwent comprehensive surgical staging for EC between January 1993 and December 2015. The inclusion criterion was endometrioid type EC limited to the uterine corpus. The associations between LNM and surgicopathological factors were evaluated by univariate and multivariate analyses.ResultsIn total, 368 patients were included. Fifty-five patients (14.9%) had LNM. Median tumor sizes were 4.5 cm (range, 0.7–13 cm) and 3.5 cm (range, 0.4–33.5 cm) in patients with and without LNM, respectively (P = 0.005). No LMN was detected in patients without myometrial invasion, whereas nodal spread was observed in 7.7% of patients with superficial myometrial invasion and in 22.6% of patients with deep myometrial invasion (P < 0.0001). Lymph node metastasis tended to be more frequent in patients with grade 3 disease compared with those with grade 1 or 2 disease (P = 0.131).ConclusionsThe risk of lymph node involvement was 30%, even in patients with the highest-risk uterine factors, that is, those who had tumors of greater than 2 cm, deep myometrial invasion, and grade 3 disease, indicating that 70% of these patients underwent unnecessary lymphatic dissection. A precise balance must be achieved between the desire to prevent unnecessary lymphadenectomy and the ability to diagnose LNM.

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