Literature DB >> 25628109

Preoperative tumor size at MRI predicts deep myometrial invasion, lymph node metastases, and patient outcome in endometrial carcinomas.

Sigmund Ytre-Hauge1, Jenny A Husby, Inger J Magnussen, Henrica M J Werner, Øyvind O Salvesen, Line Bjørge, Jone Trovik, Ingunn M Stefansson, Helga B Salvesen, Ingfrid S Haldorsen.   

Abstract

OBJECTIVE: The aim of this study was to explore the relation between preoperative tumor size based on magnetic resonance imaging (MRI) and the surgical pathologic staging parameters (deep myometrial invasion, cervical stroma invasion, and metastatic lymph nodes) and to assess the prognostic impact of tumor size in endometrial carcinomas. Interobserver variability for the different tumor size measurements was also assessed. METHODS/MATERIALS: Preoperative pelvic MRI of 212 patients with histologically confirmed endometrial carcinomas was read independently by 3 radiologists. Maximum tumor diameters were measured in 3 orthogonal planes (anteroposterior, transverse, and craniocaudal planes [CC]), and tumor volumes were estimated. Tumor size was analyzed in relation to surgical staging results and patient survival. The multivariate analyses were adjusted for preoperative risk status based on endometrial biopsy. Intraclass correlation coefficients and receiver operating characteristics curves for the different tumor measurements were also calculated.
RESULTS: Anteroposterior tumor diameter independently predicted deep myometrial invasion (P < 0.001), whereas CC tumor diameter tended to independently predict lymph node metastases (P = 0.06). Based on receiver operating characteristic curves, the following tumor size cutoff values were identified: anteroposterior diameter greater than 2 cm predicted deep myometrial invasion (unadjusted odds ratio [OR], 12.4; P < 0.001; adjusted OR, 6.7; P < 0.001) and CC diameter greater than 4 cm predicted lymph node metastases (unadjusted OR, 6.2; P < 0.001; adjusted OR, 4.9; P = 0.009). Large tumor size was associated with reduced progression/recurrence-free survival (P ≤ 0.005 for all size parameters), and CC diameter had an independent impact on survival (adjusted hazards ratio, 1.04; P = 0.009). The interobserver variability for the different size measurements was very low (intraclass correlation coefficient, 0.78-0.85).
CONCLUSIONS: Anteroposterior tumor diameter greater than 2 cm predicts deep myometrial invasion, and CC tumor diameter greater than 4 cm predicts lymph node metastases. Tumor size is a strong prognostic factor in endometrial carcinomas. Preoperative tumor measurements based on MRI may potentially improve preoperative risk stratification models and thus enable better tailored surgical treatment in endometrial cancer.

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Mesh:

Year:  2015        PMID: 25628109      PMCID: PMC4340601          DOI: 10.1097/IGC.0000000000000367

Source DB:  PubMed          Journal:  Int J Gynecol Cancer        ISSN: 1048-891X            Impact factor:   3.437


Endometrial cancer is the most common gynecologic malignancy in industrialized countries, and the incidence is increasing.1 Surgical treatment is planned based on preoperative assessment of histological subtype, grade, and depth of myometrial invasion. Surgical International Federation of Gynecology and Obstetrics (FIGO) stage is documented to be the strongest prognostic factor in endometrial carcinoma, thus guiding adjuvant therapy in addition to the assessment of histologic subtype and grade in the hysterectomy specimen.1–3 Magnetic resonance imaging (MRI) has long been considered the diagnostic imaging method of choice for preoperative staging of endometrial carcinomas.4–6 The presence of deep myometrial invasion and cervical stroma invasion could be visualized, and enlarged lymph nodes could be detected. However, conventional pelvic MRI has reportedly limitations in accuracy in the detection of the staging parameters, in particular for detecting lymph node metastases.6,7 Interobserver variation between radiologists for all staging parameters also represents a source of inaccuracy.8 As opposed to the cervical cancer FIGO staging system,6 FIGO staging for endometrial cancers does not include tumor size measurements. Nevertheless, large macroscopic tumor size, assessed in the hysterectomy specimen, has long been known to predict lymph node metastasis and poor survival in patients with endometrial carcinomas.9–13 Recent publications support that tumor volume based on preoperative MRI predicts lymph node metastases and has prognostic impact in endometrial cancer.14,15 However, the reproducibility of MRI-based tumor measurements has, to our knowledge, not yet been explored. Furthermore, the optimal cutoff value for risk assessment based on tumor size is not yet defined. The primary objective of this study was to explore the relationship between different preoperative tumor size measurements using MRI and the surgical pathologic staging parameters deep myometrial invasion, cervical stroma invasion, and metastatic lymph nodes in endometrial carcinoma patients. The secondary objectives were to assess the interobserver variability for the different tumor measurements and to explore the value of these preoperative tumor size measurements to identify patients with poor outcome.

MATERIALS AND METHODS

Patient Series, Study Setting, and Clinical Outcome

This prospective study was conducted under institutional review board–approved protocols with informed consent from all patients. From April 2009 to November 2013, preoperative pelvic MRI was performed in 212 patients in whom the diagnosis of endometrial carcinoma was histologically verified at surgical staging. All patients were diagnosed and treated at the same university hospital serving a population of ~1 million inhabitants. Follow-up data regarding recurrence, progression, and survival have been collected from patient records and from correspondence with the responsible primary physicians or gynecologists. The date of the last follow-up was July 2014, and the mean (range) follow-up for survivors was 25 (0–58) months.

Histological Diagnosis

All patients were surgically staged according to the 2009 FIGO staging criteria.2 The responsible surgeon decided the extent of sampling, balancing preoperatively known histologic risk factors and the patient’s comorbidity. The patient group without lymph node sampling is typically older with more myometrial invasion, otherwise not different from the sampled group.16 Surgical specimens were sectioned along the longitudinal plane of the uterus, and myometrial invasion and cervical stromal invasion were estimated grossly and confirmed microscopically according to standard procedures.17 Routine histopathology reports were generated without knowledge of preoperative MRI findings. The pathologists documented number and size of metastatic lymph nodes.

MRI Protocol

Contrast-enhanced (CE) MRI was performed on a 1.5-T Siemens Avanto Running Syngo MR B17 (Erlangen, Germany) using a 6-channel body coil8 in accordance with the guidelines of European Society of Urogenital Imaging.5 The mean (range) interval between MRI examination and surgical staging was 11.3 (0–98) days.

Data Analysis

All images were deidentified and read independently by 3 observers who were blinded for tumor stage, histological diagnosis, and patient outcome. Observer 1 and 2 are consultants with more than 10 years of experience with pelvic MRI. Observer 3 included 2 junior radiologists (both having more than 4 years of experience with pelvic MRI); one read the first 105 MRI examinations, and the other read the following 111 examinations. All observers reported imaging findings on a standardized form. Presence of deep myometrial invasion (tumor invading half or more of the myometrial wall), cervical stroma invasion (disruption of the low-signal intensity cervical stroma on T2-weighted images), and enlarged pelvic or para-aortic lymph nodes (largest short-axis diameter >10 mm) were recorded. Maximum tumor diameters were measured in 3 orthogonal planes: anteroposterior (AP) and transverse (TV) diameters on axial CE T1-weighted oblique images (perpendicular to the long axis of the uterus) as well as craniocaudal (CC) diameters on sagittal T2-weighted images (Fig. 1). Tumor volume was then estimated based on these measurements of maximum tumor diameter in 3 orthogonal planes using the following equation: tumor volume = AP diameter × TV diameter × CC diameter/2.
FIGURE 1

Axial oblique CE T1-weighted image (A) and sagittal T2-weighted image (B) for measurements of maximum tumor diameters in 3 orthogonal planes. AP and maximum TV diameters were measured on the axial oblique image (A), whereas CC diameters were measured on the sagittal image (B).

Axial oblique CE T1-weighted image (A) and sagittal T2-weighted image (B) for measurements of maximum tumor diameters in 3 orthogonal planes. AP and maximum TV diameters were measured on the axial oblique image (A), whereas CC diameters were measured on the sagittal image (B). To establish the overall imaging findings based on the recordings by all 3 observers, we also computed a new data set (“consensus reading”) in which the value given by the majority of the observers was recorded for categorical variables, and the median value was recorded for continuous variables.

Statistical Analysis

Estimation of sample size was done by χ2 test using software East4 2005 (Cytel Software Corp). To achieve 90% power of detecting a 20% higher occurrence of positive markers in patients with metastatic lymph nodes (5% vs 25%) at a 5% significance level, 101 patients were needed for inclusion, defining the minimum number of patients to be included in the MRI study. To reach 90% power detecting a 30% difference in 5-year survival (90% for patients with markers within reference range vs 60% with pathologic markers) at a 5% level of significance, 65 patients were needed, assuming a positive to negative ratio of the markers of 1:3. Clinical and histopathology staging parameters were analyzed in relation to tumor size measurements using Mann-Whitney U test, Kruskal-Wallis H test, Jonckheere-Terpsta trend test, χ2 test, and binary logistic regression analysis. Intraclass correlation coefficient was used to assess the consistency and reproducibility of tumor size measurements, and minimal detectable change (1.96 × standard error of the mean × square root of 2) for the measured diameters was also calculated. Receiver operating characteristic (ROC) analysis was performed to evaluate the diagnostic value of the different tumor size measurements in identifying deep myometrial invasion, cervical stroma invasion, and lymph node metastases. The optimal cutoff values (rounded to centimeters) were determined for which the best separation in Youden index between groups was achieved. Differences in time to recurrence (for patients considered cured by primary treatment) or progression (for patients known to have residual disease after primary treatment) were assessed by the Mantel-Cox (log-rank) linear trend test. The Cox proportional hazards model was used to study the effect on survival of continuous variables. The prognostic value of different tumor size categories was explored with univariate analyses using Kaplan-Meier, and groups with similar survival were merged. McNemar test was used for pairwise analysis for differences in sensitivity, specificity, and accuracy. The data were analyzed using SPSS 22.0 (Chicago, IL) and Stata 12.1 (College Station, TX). All reported P values were 2-sided and considered to indicate statistical significance when less than 0.05.

RESULTS

Patients

The median (mean) patient age in the study sample (n = 212) was 66 (66) years (range, 32-93), and 91% (193/212) of the patients were postmenopausal. Applying the FIGO 2009 staging criteria, 55% (116/212) were stage IA (<50% myometrial invasion), 23% (48/212) stage IB (≥50% myometrial invasion), 11% (23/212) stage II (cervical stroma invasion), 11% (24/212) stage III (local or regional tumor spread), and 0% (1/212) stage IV. The histological subtype was endometrioid in 81% (171/212) of which 50% (86/171) were grade 1, 29% (50/171) grade 2, and 17% (29/171) grade 3; whereas 4% (6/171) were ungraded. Clear cell histology was detected in 3% (6/212), serous in 10% (21/212), carcinosarcoma in 4% (9/212), and undifferentiated in 2% (5/212). Metastatic lymph nodes were more frequent in patients with deep myometrial invasion, cervical stroma invasion, high histologic grade, aneuploidy, and body mass index (BMI) greater than 25 (Table 1).
TABLE 1

Clinical characteristics and MRI findings in relation to the presence of metastatic lymph nodes at surgical staging in 181 endometrial carcinoma patients

Clinical characteristics and MRI findings in relation to the presence of metastatic lymph nodes at surgical staging in 181 endometrial carcinoma patients All patients were primarily treated with hysterectomy and bilateral salpingo-oophorectomy. Pelvic lymph node sampling was performed in 85% (181/212) as part of the routine surgical staging procedure. Adjuvant therapy was given to 33% (70/212), chemotherapy in 28% (59/212), pelvic radiation in 5% (10/212), and hormonal treatment in 0% (1/212).

Tumor Size Is Correlated to Surgicopathologic Findings

The mean (median, range) preoperative tumor diameters were 28 (26, 0–113) mm for axial TV diameter, 18 (16, 0–77) mm for axial AP diameter, and 35 (31, 0–102) mm for sagittal CC diameter. The mean (median, range) estimated tumor volume was 19 (6, 0–444) mL. Tumor volume was significantly higher in patients with deep myometrial invasion, cervical stroma invasion, and lymph node metastases at surgical staging and in patients with aneuploidy and high histologic grade (Table 2).
TABLE 2

Tumor volume in relation to clinical and histologic characteristics in 212 endometrial carcinoma patients

Tumor volume in relation to clinical and histologic characteristics in 212 endometrial carcinoma patients Tumor measurements in the 3 orthogonal planes and tumor volume did all predict the presence of deep myometrial invasion at surgical staging (unadjusted odds ratios [ORs], 1.06–1.13; P < 0.001 for all); however, AP tumor diameter was the only size variable independently predicting deep myometrial invasion (adjusted OR, 1.14; P < 0.001). Craniocaudal tumor diameter was the only variable predicting cervical stroma invasion (adjusted OR, 1.04; P = 0.008). Although all size parameters predicted lymph node metastases in the univariate analyses (unadjusted ORs, 1.02–1.05; P ≤ 0.004 for all), only CC tumor diameter tended to independently predict lymph node metastases (adjusted OR, 1.04; P = 0.06). Receiver operator characteristic curves for the different size parameters in the prediction of deep myometrial invasion (Fig. 2A), cervical stroma invasion (Fig. 2B), and lymph node metastases (Fig. 2C) showed that AP diameter had the highest area under the curve (AUC, 0.82) for deep myometrial invasion, whereas CC diameter had the highest AUC for cervical stroma invasion (AUC, 0.66) and for lymph node metastases (AUC, 0.76). Based on these ROC curves, the following cutoff values were identified: AP tumor diameter greater than 2 cm predicts deep myometrial invasion yielding sensitivity/specificity of 66%/86% and an OR of 12.4, and CC tumor diameter greater than 4 cm predicts lymph node metastases yielding sensitivity/specificity of 70%/73% and an OR of 6.2, whereas CC tumor diameter greater than 3 cm tends to predict cervical stroma invasion yielding sensitivity/specificity of 66%/51% and an OR of 2.0 (Table 3). When adjusting for risk status based on preoperative endometrial biopsy and for conventional imaging findings (consensus reading) suggesting deep myometrial invasion, cervical stroma invasion, and lymph node metastases, respectively, AP diameter greater than 2 cm independently predicted deep myometrial invasion (adjusted OR, 6.7), and CC diameter greater than 4 cm independently predicted lymph node metastases (adjusted OR, 4.9), whereas CC diameter greater than 3 cm did not predict cervical stroma invasion (Table 3).
FIGURE 2

Receiver operator characteristic curves for the various tumor size measurements for identification of (A) deep myometrial invasion, (B) cervical stroma invasion, and (C) lymph node metastases and ROC curves for the different observers for (D) AP diameter to predict deep myometrial invasion, (E) CC diameter to predict cervical stroma invasion, and (F) CC diameter to predict lymph node metastases in patients with endometrial carcinoma. P values refer to the test of equal AUC values across tumor measurements.

TABLE 3

Sensitivity, specificity, LR+, LR−, and OR for the prediction of deep myometrial invasion (by AP tumor diameter >2 cm), cervical stroma invasion (by CC tumor diameter >3 cm), and lymph node metastases (by CC diameter >4 cm) using surgical staging as the criterion standard

Sensitivity, specificity, LR+, LR−, and OR for the prediction of deep myometrial invasion (by AP tumor diameter >2 cm), cervical stroma invasion (by CC tumor diameter >3 cm), and lymph node metastases (by CC diameter >4 cm) using surgical staging as the criterion standard Receiver operator characteristic curves for the various tumor size measurements for identification of (A) deep myometrial invasion, (B) cervical stroma invasion, and (C) lymph node metastases and ROC curves for the different observers for (D) AP diameter to predict deep myometrial invasion, (E) CC diameter to predict cervical stroma invasion, and (F) CC diameter to predict lymph node metastases in patients with endometrial carcinoma. P values refer to the test of equal AUC values across tumor measurements.

Tumor Size Predicts Progression/Recurrence-Free Survival

The 3 tumor diameter measurements and tumor volume did all predict progression/recurrence-free survival (P ≤ 0.01 for all size parameters) in endometrial carcinoma patients. In a multivariate analysis including all size parameters and preoperative risk status based on endometrial biopsy, only CC tumor diameter had an independent impact on survival (Table 4, Supplemental Digital Content, http://links.lww.com/IGC/A270). When stratifying patient groups according to the proposed cutoff values for size variables defined by the ROC analyses, patients with AP tumor diameter greater than 2 cm and patients with CC tumor diameter greater than 4 cm had significantly reduced progression/recurrence-free survival (P ≤ 0.03 for both; Figs. 3A, B). Combining these 2 size criteria yielded similar survival curves among patients with both or 1 size criterion below the cutoff values (the 2 survival curves are thus merged in Fig. 3C), whereas patients with both AP tumor diameter greater than 2 cm and CC tumor diameter greater than 4 cm had significantly reduced progression/recurrence-free survival (P = 0.004; Fig. 3C).
FIGURE 3

Kaplan-Meier survival curves depicting progression/recurrence-free survival according to (A) maximal AP tumor diameter (≤2 vs >2 cm), (B) maximal CC tumor diameter (≤4 vs >4 cm), and (C) a combination of AP and CC tumor diameters (AP ≤2 cm and/or CC ≤4 cm vs AP >2 cm and CC >4 cm). P values refer to the log-rank test for equality of survival distribution.

Kaplan-Meier survival curves depicting progression/recurrence-free survival according to (A) maximal AP tumor diameter (≤2 vs >2 cm), (B) maximal CC tumor diameter (≤4 vs >4 cm), and (C) a combination of AP and CC tumor diameters (AP ≤2 cm and/or CC ≤4 cm vs AP >2 cm and CC >4 cm). P values refer to the log-rank test for equality of survival distribution.

Interobserver Variability for Tumor Measurements

The interobserver variability for tumor diameter measurements by the 3 observers was low with intraclass correlation coefficients of 0.78 to 0.85 and minimum detectable change of 14 to 26 mm for the different tumor diameter measurements (Table 5, Supplemental Digital Content, http://links.lww.com/IGC/A270). Furthermore, the AUC values of the ROC curves for prediction of deep myometrial invasion, cervical stroma invasion, and lymph node metastases were not significantly different between observers (Figs. 2D-F).

DISCUSSION

In this large population-based study, we demonstrate a significant predictive value of preoperative tumor size measurements based on MRI to identify deep myometrial invasion and lymph node metastases. Furthermore, tumor size had a significant independent impact on survival also when adjusting for preoperative risk status based on endometrial biopsy. Based on the present study, we propose a risk model with cutoff values of AP tumor diameter greater than 2 cm indicating high risk for deep myometrial invasion and CC tumor diameter greater than 4 cm indicating high risk for lymph node metastases. Having established that the interobserver variability for these different tumor measurements at MRI was very low, we infer that these preoperative tumor measurements with corresponding cutoff values may represent robust biomarkers aiding in the preoperative risk stratification and in planning of tailored surgical treatment in endometrial cancer patients. Presence of deep myometrial invasion in hysterectomy specimen at surgicopathological staging is associated with an increased risk of lymph node metastases, tumor recurrence, and distant relapse in endometrial carcinoma patients.3,18 We found that all size parameters predicted deep myometrial invasion, which is in accordance with the findings of Todo et al14 reporting high volume indexes (defined as the product of maximum AP, TV, and CC tumor diameters at MRI) to be associated with deep myometrial invasion. As opposed to Todo et al,14 we have also explored the independent impact of the different size variables in a multivariate model including preoperative risk status based on endometrial biopsy. Interestingly, AP diameter, which had the largest AUC (Fig. 2A), proved to be the only size variable independently predicting deep myometrial invasion. Based on the ROC curve, the optimal cutoff value for prediction of deep myometrial invasion was AP diameter greater than 2 cm, and AP diameter greater than 2 cm independently predicted deep myometrial invasion even when adjusting for conventional imaging findings (consensus reading) suggesting the same. Interestingly, we found that AP diameter greater than 2 cm and MRI indicating deep myometrial invasion had comparable accuracy (sensitivity, specificity) for identification of deep myometrial invasion at surgical staging: 79% (66%, 86%) and 74% (70%, 77%), respectively, however, with significantly better specificity for AP diameter greater than 2 cm (86% vs 77%; P = 0.015, McNemar test). Thus, this relatively simple approach of measuring AP tumor diameter yields a diagnostic performance similar to or slightly better than conventional reading for prediction of deep myometrial invasion. Several surgicopathological risk models for prediction of lymph node metastases have been proposed in endometrial cancer based on histologic grade, subtype, and tumor extent,10,19,20 among which 1 model includes tumor greater than 2 cm based on the gross inspection of hysterectomy specimen.10 These models are, however, limited by the fact that they rely on surgicopathological staging results, which are per definition not available preoperatively. Tumor diameter greater than 2 cm in macroscopic fresh tissue has been reported to independently predict lymph node metastases and survival9; however, the independent impact on survival of tumor size greater than 2 cm has not been consistently reproduced in the literature.10,13 Based on macroscopic gross inspection of the cut-up of the uterus, maximum tumor dimension greater than 3.75 cm was recently reported an independent predictor of deep myometrial invasion, distant recurrence, and death.11 Because CC diameter was almost uniformly the largest tumor diameter in our study, our cutoff value for CC diameter greater than 4 cm seems to be in line with the proposed cutoff value of 3.75 cm. Direct comparison between tumor diameter measurements in macroscopic fresh tissue and preoperatively based on MRI is, however, difficult due to the differences in planes eligible for tumor measurements and the potential distortion and compression of tumor tissue in vivo compared with ex vivo. Thus, the optimal cutoff values for tumor size are not necessarily transferable from in vivo MRI-based assessment to the ex vivo gross section-based tumor measurements. Still, the metastatic potential and unfavorable prognostic impact of large tumor size in endometrial carcinomas is consistently supported by both in vivo and ex vivo studies.9–15 We found that the MRI-based parameters AP tumor diameter greater than 2 cm and CC tumor diameter greater than 4 cm both alone and combined are strongly associated with reduced progression/recurrence-free survival in endometrial carcinomas (Fig. 3). These tumor size parameters should in the future also be evaluated in relation to other preoperative biomarkers such as p53, hormone receptor, and DNA ploidy status in preoperative biopsies, prognostic markers assessed in blood samples,21 and on functional imaging by MRI or PET/CT, which have been shown to yield prognostic information.16,22–25 For all risk stratification models, high accuracy and reproducibility of the variables included in the model are essential. To our knowledge, this is the first study assessing the interobserver variability for the different tumor size measurements at MRI in endometrial cancer. Interestingly, we found that tumor size was measured with very low interobserver variability and with no striking difference related to the readers’ previous experience. Thus, tumor size measurements seem to represent robust biomarkers that are promising for potential inclusion in future risk stratification models in endometrial cancer. This study has some limitations. First, the study was conducted in a single institution using a standardized imaging protocol. Thus, the potential impact of various imaging protocols on MRI-based tumor size measurements has not been assessed. However, our imaging protocol is based on the guidelines of the European Society of Urogenital Imaging and is thus expected to be quite similar to those applied at most centers treating endometrial cancer patients. Second, intraobserver variability was not assessed in this study. This is, however, expected to be lower than the observed interobserver variability, which was very low in this study, and the intraobserver variability is thus expected to be almost negligible. In summary, tumor size assessed preoperatively by MRI predicts the presence of deep myometrial invasion and lymph node metastases and is a strong prognostic factor in endometrial carcinoma. Based on our findings, we propose cutoff values greater than 2 cm AP tumor diameter for predicting deep myometrial invasion and greater than 4 cm CC tumor diameter for predicting lymph node metastases, as well as poor survival for the combination of greater than 2 cm AP and greater than 4 cm CC tumor diameter. Preoperative tumor measurements at MRI may thus provide clinically relevant biomarkers for future risk stratification models guiding tailored surgical treatment in endometrial cancer.
  25 in total

Review 1.  The added role of MR imaging in treatment stratification of patients with gynecologic malignancies: what the radiologist needs to know.

Authors:  Evis Sala; Andrea G Rockall; Susan J Freeman; Donald G Mitchell; Caroline Reinhold
Journal:  Radiology       Date:  2013-03       Impact factor: 11.105

2.  Elevated plasma growth differentiation factor-15 correlates with lymph node metastases and poor survival in endometrial cancer.

Authors:  Anne Cathrine Staff; Jone Trovik; Ane Gerda Zahl Eriksson; Elisabeth Wik; Kai C Wollert; Tibor Kempf; Helga B Salvesen
Journal:  Clin Cancer Res       Date:  2011-05-26       Impact factor: 12.531

Review 3.  Endometrial cancer.

Authors:  Frederic Amant; Philippe Moerman; Patrick Neven; Dirk Timmerman; Erik Van Limbergen; Ignace Vergote
Journal:  Lancet       Date:  2005 Aug 6-12       Impact factor: 79.321

Review 4.  Staging of endometrial carcinomas with MRI using traditional and novel MRI techniques.

Authors:  I S Haldorsen; H B Salvesen
Journal:  Clin Radiol       Date:  2011-11-25       Impact factor: 2.350

5.  Revision of FIGO surgical staging in 2009 for endometrial cancer validates to improve risk stratification.

Authors:  H M J Werner; J Trovik; J Marcickiewicz; S Tingulstad; A C Staff; F Amant; H B Salvesen
Journal:  Gynecol Oncol       Date:  2011-11-17       Impact factor: 5.482

6.  Preoperative anemia, leukocytosis and thrombocytosis identify aggressive endometrial carcinomas.

Authors:  Tormund S Njølstad; Hilde Engerud; Henrica M J Werner; Helga B Salvesen; Jone Trovik
Journal:  Gynecol Oncol       Date:  2013-09-01       Impact factor: 5.482

7.  Clinical significance of tumor volume in endometrial cancer: a Japan-Korea cooperative study.

Authors:  Yukiharu Todo; Hyuck-Jae Choi; Sokbom Kang; Jae-Weon Kim; Joo-Hyun Nam; Hidemichi Watari; Akiko Tamakoshi; Noriaki Sakuragi
Journal:  Gynecol Oncol       Date:  2013-08-14       Impact factor: 5.482

8.  Tumor volume successively reflects the state of disease progression in endometrial cancer.

Authors:  Yukiharu Todo; Hidemichi Watari; Kazuhira Okamoto; Hitoshi Hareyama; Shinichiro Minobe; Hidenori Kato; Noriaki Sakuragi
Journal:  Gynecol Oncol       Date:  2013-03-05       Impact factor: 5.482

9.  Dynamic contrast-enhanced MRI in endometrial carcinoma identifies patients at increased risk of recurrence.

Authors:  Ingfrid S Haldorsen; Renate Grüner; Jenny A Husby; Inger J Magnussen; Henrica M J Werner; Oyvind O Salvesen; Line Bjørge; Ingunn Stefansson; Lars A Akslen; Jone Trovik; Torfinn Taxt; Helga B Salvesen
Journal:  Eur Radiol       Date:  2013-06-04       Impact factor: 5.315

10.  Increased microvascular proliferation is negatively correlated to tumour blood flow and is associated with unfavourable outcome in endometrial carcinomas.

Authors:  I S Haldorsen; I Stefansson; R Grüner; J A Husby; I J Magnussen; H M J Werner; Ø O Salvesen; L Bjørge; J Trovik; T Taxt; L A Akslen; H B Salvesen
Journal:  Br J Cancer       Date:  2013-10-31       Impact factor: 7.640

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  22 in total

1.  Quantitative assessment of diffusion kurtosis imaging depicting deep myometrial invasion: a comparative analysis with diffusion-weighted imaging.

Authors:  Jia-Cheng Song; Shan-Shan Lu; Jing Zhang; Xi-Sheng Liu; Cheng-Yan Luo; Ting Chen
Journal:  Diagn Interv Radiol       Date:  2020-03       Impact factor: 2.630

2.  Feasibility of a reduced field-of-view diffusion-weighted (rFOV) sequence in assessment of myometrial invasion in patients with clinical FIGO stage I endometrial cancer.

Authors:  Priya Bhosale; Jingfei Ma; Revathy Iyer; Preetha Ramalingam; Wei Wei; Pamela Soliman; Michael Frumovitz; Vikas Kundra
Journal:  J Magn Reson Imaging       Date:  2015-07-16       Impact factor: 4.813

3.  Diagnostic Accuracy of Clinical Biomarkers for Preoperative Prediction of Lymph Node Metastasis in Endometrial Carcinoma: A Systematic Review and Meta-Analysis.

Authors:  Casper Reijnen; Joanna IntHout; Leon F A G Massuger; Fleur Strobbe; Heidi V N Küsters-Vandevelde; Ingfrid S Haldorsen; Marc P L M Snijders; Johanna M A Pijnenborg
Journal:  Oncologist       Date:  2019-06-11

4.  Association of Tumor Size With Prognosis in Patients With Resectable Endometrial Cancer: A SEER Database Analysis.

Authors:  Xuefei Hou; Suru Yue; Jie Liu; Zhiqing Qiu; Liming Xie; Xueying Huang; Shasha Li; Liren Hu; Jiayuan Wu
Journal:  Front Oncol       Date:  2022-06-23       Impact factor: 5.738

5.  What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer?

Authors:  Njål Lura; Kari S Wagner-Larsen; David Forsse; Jone Trovik; Mari K Halle; Bjørn I Bertelsen; Øyvind Salvesen; Kathrine Woie; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Insights Imaging       Date:  2022-06-17

6.  Long-term outcomes of magnetic resonance imaging-invisible endometrial cancer.

Authors:  Hyun Jin Choi; Sunyoung Lee; Byung Kwan Park; Tae Joong Kim; Chan Kyo Kim; Jung Jae Park; Chel Hun Choi; Yoo Young Lee; Jeong Won Lee; Duk Soo Bae; Byoung Gie Kim
Journal:  J Gynecol Oncol       Date:  2016-04-18       Impact factor: 4.401

Review 7.  What Is the Best Preoperative Imaging for Endometrial Cancer?

Authors:  Ingfrid S Haldorsen; Helga B Salvesen
Journal:  Curr Oncol Rep       Date:  2016-04       Impact factor: 5.075

8.  Tissue and imaging biomarkers for hypoxia predict poor outcome in endometrial cancer.

Authors:  Anna Berg; Kristine E Fasmer; Karen K Mauland; Sigmund Ytre-Hauge; Erling A Hoivik; Jenny A Husby; Ingvild L Tangen; Jone Trovik; Mari K Halle; Kathrine Woie; Line Bjørge; Atle Bjørnerud; Helga B Salvesen; Henrica M J Werner; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Oncotarget       Date:  2016-10-25

9.  Preoperative tumor size is associated with deep myometrial invasion and lymph node metastases and is a negative prognostic indicator for patients with endometrial carcinoma.

Authors:  Kohei Nakamura; Kentaro Nakayama; Noriyoshi Ishikawa; Toshiko Minamoto; Tomoka Ishibashi; Kaori Ohnishi; Hitomi Yamashita; Ruriko Ono; Hiroki Sasamori; Sultana Razia; Mohammad Mahmud Hossain; Shanta Kamrunnahar; Masako Ishikawa; Satoru Kyo
Journal:  Oncotarget       Date:  2018-05-01

10.  Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer.

Authors:  Kristine E Fasmer; Ankush Gulati; Julie A Dybvik; Sigmund Ytre-Hauge; Øyvind Salvesen; Jone Trovik; Camilla Krakstad; Ingfrid S Haldorsen
Journal:  Eur Radiol       Date:  2020-02-07       Impact factor: 5.315

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