Federation Of Gynecology And Obstetrics System Research Articles

Preoperative Imaging Evaluation of Endometrial Cancer in FIGO 2023.

The staging of endometrial cancer is based on the International Federation of Gynecology and Obstetrics (FIGO) staging system according to the examination of surgical specimens, and has revised in 2023, 14 years after its last revision in 2009. Molecular and histological classification has incorporated to new FIGO system reflecting the biological behavior and prognosis of endometrial cancer. Nonetheless, the basic role of imaging modalities including ultrasound, computed tomography (CT), magnetic resonance imaging (MRI), and positron emission tomography, as a preoperative assessment of the tumor extension and also the evaluation points in CT and MRI imaging are not changed, other than several point of local tumor extension. In the field of radiology, it has also undergone remarkable advancement through the rapid progress of computational technology. The application of deep learning reconstruction techniques contributes the benefits of shorter acquisition time or higher quality. Radiomics, which extract various quantitative features from the images, is also expected to have the potential for the quantitative prediction of risk factors such as histological types and lymphovascular space invasion, which is newly included in the new FIGO system. This article reviews the preoperative imaging diagnosis in new FIGO system and recent advances in imaging analysis and their clinical contributions in endometrial cancer. EVIDENCE LEVEL: 4 TECHNICAL EFFICACY: Stage 3.

Development and validation of a nomogram to predict overall survival for cervical adenocarcinoma: A population-based study.

This study aimed to develop and validate a nomogram for predicting the overall survival of cervical adenocarcinoma (CAC) patients using a large database comprising patients with different ethnicities. We enrolled primary CAC cases with complete clinicopathological and survival data from the Surveillance, Epidemiology, and End Results program during 2004 to 2015. For training set samples, this work applied the Cox regression model to obtain factors independently associated with patient prognosis, which could be incorporated in constructing the nomogram. Altogether 3096 qualified cases were enrolled, their survival ranged from 0 to 155 (median, 45.5) months. As revealed by multivariate regression, age, marital status, tumor size, grade, International Federation of Gynecology and Obstetrics (FIGO) classification, pelvic lymph node metastasis, surgery, and chemotherapy served as the factors to independently predict CAC (all P < .05). We later incorporated these factors for constructing the nomogram. According to the concordance index determined, this nomogram had superior discrimination over FIGO classification system (all P < .001). Based on calibration plot, the predicted value was consistent with actual measurement. As revealed by time-independent area under the curves, our constructed nomogram had superior 5-year overall survival over FIGO system. Additionally, according to decision curve analysis, our constructed nomogram showed high clinical usefulness as well as favorable discrimination. Our constructed nomogram attains favorable performances, indicating that it may be applied in predicting survival for CAC patients.

Smooth Muscle Tumors of the Uterus at MRI: Focus on Leiomyomas and FIGO Classification.

Leiomyomas are smooth muscle tumors of the uterus and are the most common uterine neoplasm. Although leiomyomas are usually asymptomatic, they can manifest with symptoms such as pain or uterine bleeding. Leiomyomas are classified on the basis of their anatomic location and morphology. Localization of leiomyomas relative to the endometrium, myometrium, and uterine serosa with use of the International Federation of Gynecology and Obstetrics (FIGO) classification system is helpful for guiding management in symptomatic patients. The FIGO system is a practical and universally accepted approach for classifying leiomyomas to guide radiologists and clinicians in deciding management. The MRI appearance of conventional leiomyomas is related to their tissue contents of smooth muscle and fibrous tissue and is well established. The MRI features of some leiomyoma subtypes and forms of degeneration also have been described. Other smooth muscle tumors of the uterus recognized in the 2020 World Health Organization classification system include intravenous leiomyomatosis, smooth muscle tumors of uncertain malignant potential, and metastasizing leiomyoma. At the far end of the spectrum are leiomyosarcomas, which are frankly malignant and therefore must be managed accordingly. Although MRI features that suggest a diagnosis of leiomyosarcoma have been proposed, these features overlap with those of some leiomyoma subtypes and degeneration. © RSNA, 2023 See the invited commentary by Fennessy and Gargiulo in this issue. Online supplemental material and the slide presentation from the RSNA Annual Meeting are available for this article. Quiz questions for this article are available through the Online Learning Center.

Prognostic nomogram that predicts progression-free survival and overall survival of patients with ovarian clear cell carcinoma.

We aims to develop nomograms to predict progression-free survival (PFS) and overall survival (OS) in patients with ovarian clear cell carcinoma (OCCC) after primary treatment and compare the predictive accuracy with the currently used International Federation of Gynecology and Obstetrics (FIGO) system. We collected data from 358 Chinese patients diagnosed with OCCC and who underwent standard treatment at our hospital. Patients diagnosed from 1982-9 to 2011-12 were classified as the training group and patients diagnosed from 2012-1 to 2016-11 were classified as the validation group. Nomograms were developed based on the training group and was validated in the validation group. The predictive performance was determined by concordance index and calibration curve. The most predictive nomogram for PFS was constructed using variables: thrombosis, the FIGO staging, residual of the tumor and distant metastasis, with a concordance index of 0.738. While the nomogram for OS consisted of thrombosis, lymph node metastasis, residual of the tumor, malignant ascites/washing, and platinum resistance, with a concordance index of 0.835. The nomograms were internally validated by concordance indexes of 0.775 and 0.807 for predicting PFS and OS, respectively. In comparison, the concordance statistics for OS based on the FIGO staging was significantly lower (P<0.05). We have established two prognostic nomograms for recurrence and long-term survival in patients with OCCC after primary treatment in a large Chinese center and validated them in patients from the same center. This tool used variables specifically related to OCCC and was more accurate than the FIGO system. It is relatively easy to use in clinic for patient counseling, postoperative management, and follow-up for individual patients.

Interobserver agreement and prognostic impact for MRI–based 2018 FIGO staging parameters in uterine cervical cancer

ObjectivesTo evaluate the interobserver agreement for MRI–based 2018 International Federation of Gynecology and Obstetrics (FIGO) staging parameters in patients with cervical cancer and assess the prognostic value of these MRI parameters in relation to other clinicopathological markers.MethodsThis retrospective study included 416 women with histologically confirmed cervical cancer who underwent pretreatment pelvic MRI from May 2002 to December 2017. Three radiologists independently recorded MRI–derived staging parameters incorporated in the 2018 FIGO staging system. Kappa coefficients (κ) for interobserver agreement were calculated. The predictive and prognostic values of the MRI parameters were explored using ROC analyses and Kaplan–Meier with log-rank tests, and analyzed in relation to clinicopathological patient characteristics.ResultsOverall agreement was substantial for the staging parameters: tumor size > 2 cm (κ = 0.80), tumor size > 4 cm (κ = 0.76), tumor size categories (≤ 2 cm; > 2 and ≤ 4 cm; > 4 cm) (κ = 0.78), parametrial invasion (κ = 0.63), vaginal invasion (κ = 0.61), and enlarged lymph nodes (κ = 0.63). Higher MRI–derived tumor size category (≤ 2 cm; > 2 and ≤ 4 cm; > 4 cm) was associated with a stepwise reduction in survival (p ≤ 0.001 for all). Tumor size > 4 cm and parametrial invasion at MRI were associated with aggressive clinicopathological features, and the incorporation of these MRI–based staging parameters improved risk stratification when compared to corresponding clinical assessments alone.ConclusionThe interobserver agreement for central MRI–derived 2018 FIGO staging parameters was substantial. MRI improved the identification of patients with aggressive clinicopathological features and poor survival, demonstrating the potential impact of MRI enabling better prognostication and treatment tailoring in cervical cancer.Key Points• The overall interobserver agreement was substantial (κ values 0.61–0.80) for central MRI staging parameters in the 2018 FIGO system.• Higher MRI–derived tumor size category was linked to a stepwise reduction in survival (p ≤ 0.001 for all).• MRI–derived tumor size > 4 cm and parametrial invasion were associated with aggressive clinicopathological features, and the incorporation of these MRI–derived staging parameters improved risk stratification when compared to clinical assessments alone.

Re-classification of uterine cervical cancer cases treated with radical hysterectomy based on the 2018 FIGO staging system

ObjectiveWe re-classified patients with stage IB–II disease (based on the 2008 system) and compared the outcomes with those obtained after using the 2018 International Federation of Gynecology and Obstetrics (FIGO) staging system. Materials and methodsWe reviewed the data of 154 patients with cervical cancer who underwent radical hysterectomy at our hospital during 2006–2016. Pathological, histological, and radiographic data were used to re-classify the cases based on the 2018 FIGO system. We compared these outcomes to those obtained after using the 2008 FIGO assignments. Overall survival (OS) was calculated from primary therapy initiation until death or the last follow-up examination. ResultsThe histological types were squamous cell carcinoma (108 cases) and others (46 cases). The 2008 FIGO system assignments were stage IB1, IB2, IIA1, IIA2, and IIB (87, 27, seven, five, and 28 patients, respectively). The new 2018 FIGO system assignments were stage IB1, IB2, IB3, IIA1, IIA2, IIB, and IIIC1 (52, 26, 16, six, three, 21, and 30 patients, respectively). Re-classification to stage IIIC1 disease was observed for previously assigned stage IB1, IB2, IIA1, IIA2, and IIB cases (10, seven, two, two, and nine cases, respectively). The median OS durations based on the 2018 FIGO system were 71.7, 61.1, and 62.3 months for patients with stage IB1, IB2, and IB3 (p = 0.04) disease, respectively. The new stage IB3/IIA2/IIB cases had longer OS than the old stage IB2/IIA2/IIB cases. A positive computed tomography (CT) finding of nodal involvement was observed in 37% of cases with pathological confirmation of pelvic lymph node (LN) involvement. Using CT to identify pelvic LN metastasis had a sensitivity of 37% and specificity of 93%. ConclusionThe 2018 FIGO staging system for cervical cancer after radical hysterectomy showed a better ability to differentiate survival outcomes. However, the image evaluation method should be reconsidered.

Prognostic impact of the subclassification of Müllerian cancer stage IV in the FIGO 2014 staging system with a focus of extra-abdominal lymph node metastases.

The International Federation of Gynecology and Obstetrics (FIGO) staging system for Müllerian cancer was changed in 2014. Our objective was to evaluate the prognostic impact of stage IV subclassification in this new staging system, especially focusing on extra-abdominal lymph node metastasis. Eighty-two patients with stage IV Müllerian cancer treated between 2005 and 2016 at our hospital were retrospectively analyzed. Data for the following clinicopathological variables were analyzed: (1) FIGO stage; (2) tumor stage; (3) lymph node status; (4) histologic type; (5) neoadjuvant chemotherapy; (6) optimal surgery; and (7) bevacizumab use. Survival analysis was performed using Kaplan-Meier curves, log-rank tests, and Cox proportional hazards models. In accordance with the new classification, 28 and 54 patients were classified as FIGO IVA and IVB, respectively. In the Cox proportional hazards model, early-stage tumors (T1b-3b) and optimal surgery were statistically significant favorable prognostic factors. However, the new FIGO system did not discriminate prognostically between stage IVA and IVB. Median overall survival of stage IVB patients diagnosed with extra-abdominal lymph node metastasis only was better than that of stage IVA and stage IVB patients diagnosed with solid organ metastasis. In this analysis of the revised FIGO system of patients reclassified as FIGO stage IVA or IVB, no new prognostic information was obtained. There is a possibility that stage IVB patients diagnosed with extra-abdominal lymph node metastasis only can be classified as an earlier stage. Further modification of the FIGO staging system may be needed to improve the prediction of patient prognosis.

Establishment and validation of a nomogram for predicting overall survival in patients with vulvar carcinoma based on the SEER database

Background: Vulvar carcinoma (VC) is a rare female gynecological malignancy, and optimizing prognostic factors for VC requires large-scale research containing various clinical indicators of patients. Our study attempted to develop and validate a detailed survival nomogram for predicting the overall survival (OS) probability in patients diagnosed with VC. Methods: Patients diagnosed with VC between 2004 and 2015 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate Cox regression analyses were performed followed by the construction of the nomogram for OS. The performance of this model was evaluated using the concordance index (C-index), area under the time-dependent receiver operating characteristics curve (AUC), net reclassification improvement (NRI), integrated discrimination improvement (IDI), calibration plots and decision curve analysis (DCA). In addition, the C-index, AUC and DCA of the model and the 2009 International Federation of Gynecology and Obstetrics (FIGO) staging system were compared. Results: A total of 6275 patients were randomly assigned to the training cohort (n=4392) and the validation cohort (n=1883). Multivariate analysis identified independent prognostic factors (p<0.05) for OS, including histological type, age, surgery, T stage, N stage, M stage, grade, summary stage, chemotherapy, race, marital status and size. Finally, a nomogram was constructed to predict the 3-, 5-, and 8-year OS probabilities for patients with VC, and the C-index, NRI, IDI and calibration plotting all showed that the model has good discrimination. Additionally, the nomogram also showed better clinical validity of the DCA and AUC compared to that of the FIGO system. Conclusions: We developed and validated a nomogram for individual OS prediction in patients with VC. While further validation is required, this nomogram may be a useful comprehensive prognostic tool to give patients a better idea of prognosis during counseling.

Invited Commentary: FIGO Staging Classification for Cervical Cancer-Behold the Big Picture.

Invited Commentary: FIGO Staging Classification for Cervical Cancer-Behold the Big Picture.

Prenatal ultrasound staging system for placenta accreta spectrum disorders.

To develop a prenatal ultrasound staging system for placenta accreta spectrum (PAS) disorders in women with placenta previa and to evaluate its association with surgical outcome, placental invasion and the clinical staging system for PAS disorders proposed by the International Federation of Gynecology and Obstetrics (FIGO). This was a secondary retrospective analysis of prospectively collected data from women with placenta previa. We classified women according to the following staging system for PAS disorders, based upon the presence of ultrasound signs of PAS in women with placenta previa: PAS0, placenta previa with no ultrasound signs of invasion or with placental lacunae but no evidence of abnormal uterus-bladder interface; PAS1, presence of at least two of placental lacunae, loss of the clear zone or bladder wall interruption; PAS2, PAS1 plus uterovescical hypervascularity; PAS3, PAS1 or PAS2 plus evidence of increased vascularity in the inferior part of the lower uterine segment potentially extending into the parametrial region. We explored whether this ultrasound staging system correlates with surgical outcome (estimated blood loss (EBL, mL), units of packed red blood cells (PRBC), fresh frozen plasma (FFP) and platelets (PLT) transfused, operation time (min), surgical complications defined as the occurrence of any damage to the bladder, ureters or bowel, length of hospital stay (days) and admission to intensive care unit (ICU)) and depth of placental invasion. The correlation between the present ultrasound staging system and the clinical grading system proposed by FIGO was assessed. Prenatal and surgical management were not based on the proposed prenatal ultrasound staging system. Linear and multiple regression models were used. Two-hundred and fifty-nine women were included in the analysis. Mean EBL was 516 ± 151 mL in women with PAS0, 609 ± 146 mL in those with PAS1, 950 ± 190 mL in those with PAS2 and 1323 ± 533 mL in those with PAS3, and increased significantly with increasing severity of PAS ultrasound stage. Mean units of PRBC transfused were 0.05 ± 0.21 in PAS0, 0.10 ± 0.45 in PAS1, 1.19 ± 1.11 in PAS2 and 4.48 ± 2.06 in PAS3, and increased significantly with PAS stage. Similarly, there was a progressive increase in the mean units of FFP transfused from PAS1 to PAS3 (0.0 ± 0.0 in PAS1, 0.25 ± 1.0 in PAS2 and 3.63 ± 2.67 in PAS3). Women presenting with PAS3 on ultrasound had significantly more units of PLT transfused (2.37 ± 2.40) compared with those with PAS0 (0.03 ± 0.18), PAS1 (0.0 ± 0.0) or PAS2 (0.0 ± 0.0). Mean operation time was longer in women with PAS3 (184 ± 32 min) compared with those with PAS1 (153 ± 38 min) or PAS2 (161 ± 28 min). Similarly, women with PAS3 had longer hospital stay (7.4 ± 2.1 days) compared with those with PAS0 (3.4 ± 0.6 days), PAS1 (6.4 ± 1.3 days) or PAS2 (5.9 ± 0.8 days). On linear regression analysis, after adjusting for all potential confounders, higher PAS stage was associated independently with a significant increase in EBL (314 (95% CI, 230-399) mL per one-stage increase; P < 0.001), units of PRBC transfused (1.74 (95% CI, 1.33-2.15) per one-stage increase; P < 0.001), units of FFP transfused (1.19 (95% CI, 0.61-1.77) per one-stage increase; P < 0.001), units of PLT transfused (1.03 (95% CI, 0.59-1.47) per one-stage increase; P < 0.001), operation time (38.8 (95% CI, 31.6-46.1) min per one-stage increase; P < 0.001) and length of hospital stay (0.83 (95% CI, 0.46-1.27) days per one-stage increase; P < 0.001). On logistic regression analysis, increased severity of PAS was associated independently with surgical complications (odds ratio, 3.14 (95% CI, 1.36-7.25); P = 0.007), while only PAS3 was associated with admission to the ICU (P < 0.001). All women with PAS0 on ultrasound were classified as having Grade-1 PAS disorder according to the FIGO grading system. Conversely, of the women presenting with PAS1 on ultrasound, 64.1% (95% CI, 48.4-77.3%) were classified as having Grade-3, while 35.9% (95% CI, 22.7-51.6%) were classified as having Grade-4 PAS disorder, according to the FIGO grading system. All women with PAS2 were categorized as having Grade-5 and all those with PAS3 as having Grade-6 PAS disorder according to the FIGO system. Ultrasound staging of PAS disorders is feasible and correlates with surgical outcome, depth of invasion and the FIGO clinical grading system. Copyright © 2019 ISUOG. Published by John Wiley & Sons Ltd.

The Use of Sensitive Imaging Modalities for Cervical Cancer Staging in Japan

The International Federation of Gynecology and Obstetrics (FIGO) staging system for cervical cancer did not take into account any of the findings determined by imaging modalities as part of the staging work-up. However, in the Japanese clinical settings, computed tomography (CT) and magnetic resonance imaging (MRI) are frequently used. In this study, we aimed to describe the pretreatment use of sensitive imaging modalities in Japan in order to assess the future adaptability of the FIGO staging system.Data from September 2012 to December 2014 were collected from the National Database of the Hospital-Based Cancer Registry and health insurance claims data. A total of 280 hospitals participated. From the database, all patients with cervical cancer who received first-line therapy at the participating hospitals were analyzed. The proportions of patients who had CT, MRI, and positron emission tomography-CT (PET-CT) before receiving the first-line therapy were calculated. For comparison, the proportions of patients who had undergone cystoscopy and/or proctoscopy -- examinations that are incorporated into the FIGO system -- were also calculated. A total of 13 668 patients were included; 77.3% of patients had early stage (stage 0 or I) disease. Among all patients, 88.5% had undergone CT, MRI, or PET-CT before receiving the first-line therapy. Additionally, over 90% of patients with advanced-stage (stage II&amp;ndash;IV) disease had undergone CT. Conversely, only 21.0% of patients with stage II&amp;ndash;IV disease were reported to have undergone cystoscopy and/or proctoscopy. Promoting a resource-stratified approach in the cervical cancer staging is warranted.

The impact of low volume lymph node metastases and stage migration after pathologic ultrastaging of non-sentinel lymph nodes in early-stage cervical cancer: a study of 54 patients with 4.2 years of follow up.

To assess the significance of pathologic ultrastaging (PU) of sentinel (SLN) and non-sentinel (nSLN) lymph nodes (LNs) and the influence on cancer staging in patients with International Federation of Gynecology and Obstetrics (FIGO) stage IA2-IB1 cervical cancer. A retrospective study was conducted with 54 patients divided into two equal-sized groups. In test group (n1), at least one SLN/patient was detected with blue dye. All excised LNs in this group were subjected to PU (4 μm slices/150 μm intervals) with hematoxylin-eosin staining and immunohistochemistry (AE1-AE3 antibodies). In none of the control group (n2) was PU performed, but in 2 patients SLN concept was performed. Patients in both groups underwent radical hysterectomy and lymphadenectomy. The effect of PU was expressed in puTNM and compared with both standard pTNM and FIGO systems. The influence of PU on patients' disease-free survival (DFS) and overall survival (OS) was assessed using Kaplan-Meier curves. In total, 516 LNs were extracted (66 SLNs, 36% bilaterally). Micrometastases (MIC) or isolated tumor cells (ITC) were detected in 34 of the 482 LNs (7.1%), including 16 MICs and 9 ITC in non-SLNs. False negative rates were: 3.7%/side-specific, and 7.4%/both sides. The use of PU resulted in stage change in 2 cases (N and M status change), FIGO stage did not changed. No PU impact on DFS or OS was observed. The risk of TNM stage migration in early cervical cancer is low, is more likely in inattentively evaluated patients, and has indeterminate prognostic and predictive value. Selection of cases with cT ≤ 2 cm and cN0 is sufficient to avoid the risk of improper staging.

A Clinicopathological Correlation of International Federation of Gynecology and Obstetrics's PALM-COEIN Classification of Abnormal Uterine Bleeding: Indian Scenario.

Background:Abnormal uterine bleeding (AUB) is a common problem affecting the women of reproductive age group and may also have a significant impact on their physical, social, and emotional aspects directly affecting their quality of life. The International Federation of Gynecology and Obstetrics (FIGO) devised a universally acceptable system of nomenclature and classification, namely PALM–COEIN classification of AUB in the year 2011. The objective of the present study was to analyze the structural (PALM) and functional (COEIN) component of FIGO system in the Indian scenario.Materials and Methods:Three hundred patients with complaints of AUB were taken. A clinical diagnosis according to PALM–COEIN system was made after thorough history and clinical examination. Additional investigations if required were done, and endometrial sampling or hysterectomy was done whichever indicated. A histological diagnosis was made, and each case was allocated a category according to PALM–COEIN classification. A clinicopathological correlation was done in the hysterectomy cases for structural causes (PALM).Results:Leiomyoma (30%) was the most common cause of AUB closely followed by adenomyosis (29.66%) overall. The clinicopathological correlation in hysterectomy cases was good with concordance rate of 85.03%. The concordance between clinical and pathological diagnoses for AUB-L, AUB-A, AUB-M, and AUB-A, L was statistically significant with P < 05 in positive cases. However, additional finding of adenomyosis was diagnosed in 48.2% of the cases apart from primary clinical diagnosis.Conclusion:A good clinicopathological correlation was seen in the cases when classified according to PALM–COEIN classification. The system also provides for consideration of multiple etiologies contributing toward AUB both clinically and histopathologically. However, histopathology remains the cornerstone in establishing the accurate diagnosis as the cases without specific symptoms can be missed clinically.

The two FIGO systems for normal and abnormal uterine bleeding symptoms and classification of causes of abnormal uterine bleeding in the reproductive years: 2018 revisions.

The International Federation of Gynecology and Obstetrics (FIGO) systems for nomenclature of symptoms of normal and abnormal uterine bleeding (AUB) in the reproductive years (FIGO AUB System 1) and for classification of causes of AUB (FIGO AUB System 2; PALM-COEIN) were first published together in 2011. The purpose was to harmonize the definitions of normal and abnormal bleeding symptoms and to classify and subclassify underlying potential causes of AUB in the reproductive years to facilitate research, education, and clinical care. The systems were designed to be flexible and to be periodically reviewed and modified as appropriate. To review, clarify, and, where appropriate, revise the previously publishedsystems. To a large extent, the process has been an iterative one involving the FIGO Menstrual Disorders Committee, as well as a number of invited contributions from epidemiologists, gynecologists, and other experts in the field from around the world between 2012 and 2017. Face-to-face meetings have been held in Rome, Vancouver, and Singapore, and have been augmented by a number of teleconferences and other communications designed to evaluate various aspects of the systems. Where substantial change was considered, anonymous voting, in some instances using a modified RAND Delphi technique, was utilized.

Relationships of nuclear, architectural and International Federation of Gynecology and Obstetrics grading systems in endometrial cancer.

Objective:To examine correlations among nuclear, architectural, and International Federation of Gynecology and Obstetrics (FIGO) grading systems, and their relationships with lymph node (LN) involvement in endometrioid endometrial cancer.Material and Methods:Histopathology slides of 135 consecutive patients were reviewed with respect to tumor grade and LN metastasis. Notable nuclear atypia was defined as grade 3 nuclei. FIGO grade was established by raising the architectural grade (AG) by one grade when the tumor was composed of cells with nuclear grade (NG) 3. Correlations between the grading systems were analyzed using Spearman’s rank correlation coefficients, and relationships of grading systems with LN involvement were assessed using logistic regression analysis.Results:Correlation analysis revealed a significant and strongly positive relationship between FIGO and architectural grading systems (r=0.885, p=0.001); however, correlations of nuclear grading with the architectural (r=0.535, p=0.165) and FIGO grading systems (r=0.589, p=0.082) were moderate and statistically non-significant. Twenty-five (18.5%) patients had LN metastasis. LN involvement rates differed significantly between tumors with AG 1 and those with AG 2, and tumors with FIGO grade 1 and those with FIGO grade 2. In contrast, although the difference in LN involvement rates failed to reach statistical significance between tumors with NG 1 and those with NG 2, it was significant between NG 2 and NG 3 (p=0.042). Although all three grading systems were associated with LN involvement in univariate analyses, an independent relationship could not be established after adjustment for other confounders in multivariate analysis.Conclusion:Nuclear grading is significantly correlated with neither architectural nor FIGO grading systems. The differences in LN involvement rates in the nuclear grading system reach significance only in the setting of tumor cells with NG 3; however, none of the grading systems was an independent predictor of LN involvement.

Validation of a two-tier grading system in an unselected, consecutive cohort of serous ovarian cancer patients.

New insights into the carcinogenesis of ovarian cancer (OC) lead to the definition of low-grade and high-grade serous OC. In this study, we validated the MD Anderson Cancer Center (MDACC) two-tier grading system and compared it with the traditional three-tier grading system as suggested by the International Federation of Gynecology and Obstetrics (FIGO). Consecutive patients with serous OC were enrolled. These two grading systems were assessed independently from each other. Kaplan-Meier estimates and Cox-regression analyses were performed to validate and compare their prognostic impact. 143 consecutive patients entered the study. According to the Kaplan-Meier estimates, the MDACC grading system (p=0.001) predicted the progression free survival (PFS) more precisely than the FIGO system (p=0.025). The MDACC grading system (p=0.008) but not the FIGO system (p=0.329) showed a statistically significant difference in terms of disease specific survival (DSS). Multivariable Cox-regression analyses revealed an independent prognostic impact of the MDACC grading system but not of the FIGO system for PFS (HR 1.570; 95% CI 1.007-2.449; p=0.047, and HR 0.712; 95% CI 0.476-1.066; p=0.099, respectively). Concerning DSS, the two-tier grading system but not the FIGO system showed a prognostic impact in a univariable Cox-regression analysis (HR 2.152; 95% CI 1.207-3.835; p=0.009, and HR 1.258; 95% CI 0.801-1.975; p=0.319, respectively). We were able to validate the MDACC grading system in serous OC. Moreover, this grading system was stronger associated with survival than the FIGO system.

Pathways of lymphatic spread in gynecologic malignancies.

Precise radiologic evaluation of regional adenopathic involvement in pelvic gynecologic tumors is fundamental to clinical practice because of its prognostic and therapeutic significance. Likewise, the identification of metastatic adenopathies at posttreatment imaging is essential for assessing response and detecting recurrence. Similar to urologic neoplasms, gynecologic neoplasms most often spread regionally to the pelvic and retroperitoneal lymph nodes, following the normal drainage pathways of the pelvic organs. Familiarity with routes of dissemination, treatment options, and means of analyzing lymph node characteristics is crucial to determine the extent of disease. Two staging systems can be used in characterizing gynecologic malignancies: the FIGO (International Federation of Gynecology and Obstetrics) system, which is the most commonly and universally used, and the TNM (tumor, node, metastasis) system, which is based on clinical and/or pathologic classification. Anatomic assessment with multidetector computed tomography (CT) and magnetic resonance (MR) imaging is still the most commonly used technique for the detection of lymph node spread, which is mainly based on morphologic criteria, the most important of which is nodal size. However, size has limited diagnostic specificity. Consequently, functional imaging techniques such as diffusion-weighted MR imaging, positron emission tomography combined with CT, lymphoscintigraphy, and sentinel lymph node mapping, which are based on molecular and physiologic activity and allow more precise evaluation, are often incorporated into diagnostic imaging protocols for staging of gynecologic malignancies.

Locoregional Spread and Survival of Stage IIA1 versus Stage IIA2 Cervical Cancer

This study was undertaken to compare surgical outcomes and survival rates of patients with the 2009 International Federation of Gynecology and Obstetrics (FIGO) stage IIA1 versus IIA2 cervical cancer treated with radical hysterectomy and pelvic lymphadenectomy (RHPL). Patients with stage IIA cervical cancer undergoing primary RHPL between January 2003 and December 2012 at Chiang Mai University Hospital were retrospectively reviewed. The analysis included clinicopathologic variables, i.e. nodal metastasis, parametrial involvement, positive surgical margins, deep stromal invasion (DSI)), lymph-vascular space invasion (LVSI), adjuvant treatment, and 5-year survival. The chi square test, Kaplan-Meier method and log-rank test were used for statistical analysis. During the study period, 133 women with stage IIA cervical cancer, 101 (75.9 %) stage IIA1, and 32 (24.1 %) stage IIA2 underwent RHPL. The clinicopathologic variables of stage IIA1 compared with stage IIA2 were as follows: nodal metastasis (38.6% vs 40.6%, p=0.84), parametrial involvement (10.9% vs 15.6%, p=0.47), positive surgical margins (31.7% vs 31.3%, p=1.0), DSI (39.6% vs 53.1%, p=0.18), LVSI (52.5% vs 71.9%, p=0.05) and adjuvant radiation (72.3% vs 84.4%, p=0.33). With a median follow-up of 60 months, the 5-year disease-free survival (84.6% vs 88.7%, p=0.67) and the 5-year overall survival (83.4% vs 90.0%, P=0.49) did not significantly differ between stage IIA1 and stage IIA2 cervical cancer. In conclusion, patients with stage IIA1 and stage IIA2 cervical cancer have comparable rates of locoregional spread and survival. The need for receiving adjuvant radiation was very high in both substages. The revised 2009 FIGO system did not demonstrate significant survival differences in stage IIA cervical cancer treated with radical hysterectomy. Concurrent chemoradiation should be considered a more suitable treatment for patients with stage IIA cervical cancer.

Lacunae in International Federation of Gynecology and Obstetrics (FIGO) Classification for Cervical Carcinoma

International Federation of Gynecology and Obstetrics (FIGO) staging for cervical cancer does not yet consider findings of cross-sectional imaging unlike clinical tumor, node, and metastasis (TNM) staging system. We compare the two with regard to accuracy in pretreatment staging and their reliability in the prediction of prognosis. This was an observational study of patients with biopsy-proven nonmetastatic cervical carcinoma. Pretreatment evaluation of patients was done by clinical assessment and contrast-enhanced computed tomographic scan of the pelvis to stage the disease with FIGO and clinical TNM (cTNM) system, respectively. The extent of discordance between the 2 staging systems were studied in assessing stage of disease, correlation with histopathologic classification in patients who were operated on, and in prediction of prognosis. The study included 54 patients. Seventeen of 19 patients with early-stage disease underwent upfront radical surgery; and in 59% of these, FIGO did not match with final histopathologic TNM (pTNM), but only in 23% patients, cTNM did not match with histopathological TNM (P = 0.02). Sensitivity of computed tomographic scan to pick up lymph node metastasis was 85% in early disease. Stage migration rates to higher stage when considering imaging findings in stage I, stage IIA, and stage IIB were 25%, 71%, and 37%, respectively. Thirty-four percent of stage IIIB disease was downstaged with cTNM. Lymph node positivity by cTNM was a strong pointer of recurrence (P = 0.01). Pretreatment cross-sectional imaging may help avoid undue surgery in patients with cervical cancer with positive lymph nodes and may help in a more accurate assessment of prognosis.

Comparison of Current Staging Systems and a Novel Staging System for Uterine Leiomyosarcoma

Uterine leiomyosarcoma (LMS) was traditionally staged by modified 1988 International Federation of Gynecology and Obstetrics (FIGO) staging criteria for endometrial adenocarcinoma. Contemporary methods of staging include the 2009 FIGO system for uterine LMS and the 2010 American Joint Committee on Cancer (AJCC) soft tissue sarcoma system. The aim of this study was to compare the accuracy of these 3 staging systems and a novel system in predicting disease-specific survival for patients with uterine LMS. Patients, evaluated at our institution with uterine LMS from 1976 to 2009, were identified. Stage was assigned retrospectively based on operative and pathology reports. Staging systems performance was compared using confidence indices. We identified 244 patients with uterine LMS with sufficient information to be staged by all 3 systems. For each staging method, lower stage was associated with significantly improved disease-specific survival, P < 0.001. Patients with 2010 AJCC stage IA disease (low-grade, ≤5 cm) experienced no disease-specific deaths. We created a novel staging system, which used size and grade to stratify patients with disease confined to the uterus and/or cervix and combined the remaining patients with extrauterine disease as stage IV. Based on confidence index, the 2010 AJCC system and our novel system provided more accurate prognostic information than either of the 2 FIGO systems. Uterine LMS remains a clinically aggressive malignancy. Size and grade provided accurate prognostic information for patients with disease confined to the uterus and/or cervix. Patients with small, low-grade uterine LMS do not benefit from adjuvant therapy.