Literature DB >> 32435068

CT Scan in the Prediction of Lymph Node Involvement in Ovarian Cancer - a Retrospective Analysis of a Tertiary Gyneco-Oncological Unit.

Peter Widschwendter1, Alexandra Blersch1, Thomas W P Friedl1, Wolfgang Janni1, Christopher Kloth2, Amelie de Gregorio1, Niko de Gregorio1.   

Abstract

Background The prognostic value of lymph node removal in ovarian cancer varies depending on the tumor stage. While in the advanced stage the removal of clinically normal lymph nodes does not improve the prognosis, this is still unclear in the early stages. Evaluation of the lymph nodes based on preoperative imaging influences the surgical procedure. Methods This retrospective analysis was performed by analyzing data from 114 patients with ovarian cancer, treated in our university hospital in the years 2000 - 2012. Diagnostic performance of imaging by computer tomography with respect to the correct prediction of lymph node status was analyzed in terms of sensitivity, specificity, positive predictive value and negative predictive value. Results Imaging by computer tomography showed a rather limited diagnostic performance with regard to the detection of lymph node metastases in ovarian cancer, with a sensitivity of 40.7%, a specificity of 89.1%, a positive predictive value of 80.0%, and a negative predictive value of 58.3%. A separate analysis for pelvic and paraaortic lymph node involvement showed a better diagnostic performance of computer tomography for the detection of positive paraaortic lymph nodes (41.2, 93.1, 84.0, and 64.3% for sensitivity, specificity, positive predictive value and negative predictive value, respectively) as compared to the detection of positive pelvic lymph nodes (25.6, 91.8, 62.5, and 69.8%). Conclusion The preoperative prediction of lymph node status by computer tomography is limited. A decision for or against lymphadenectomy should not be made solely on the basis of this approach.

Entities:  

Keywords:  CT scan; diagnostic performance; imaging; lymph node involvement; ovarian cancer

Year:  2020        PMID: 32435068      PMCID: PMC7234823          DOI: 10.1055/a-1079-5158

Source DB:  PubMed          Journal:  Geburtshilfe Frauenheilkd        ISSN: 0016-5751            Impact factor:   2.915


Prior Publication

Presented at the congress of Deutsche Gesellschaft für Gynäkologie und Geburtshilfe (DGGG) in Berlin in November 2018.

Introduction

In 2012, over 230 000 women worldwide were diagnosed with ovarian cancer, with Eastern and Central Europe having the highest incidence rates (11.4 and 6.0 per 100 000, respectively) 1 . The most important prognostic factors are the tumor stage and the removal of all visible tumor sites 2 ,  3 . The 5-year survival rate through all stages is still below 50% despite continuous improvements, especially in systematic therapy 1 . Pelvic and paraaortic lymphadenectomy is considered a necessary part of staging surgery for early ovarian cancer (up to and including FIGO IIA) through its role in the correct assessment of the tumor stage and corresponding prognosis 4 ,  5 ,  6 ,  7 . The incidence of pelvic and/or paraaortic lymph node metastases in FIGO stages I and II varies between 6.1 and 29.6% depending on the literature, with the highest incidence found in poorly differentiated and serous tumors 8 . Mucinous carcinomas or low grade serous carcinomas (LGSC), on the other hand, appear to have a very low risk for nodal spread 9 ,  10 . In advanced ovarian cancer, several retrospective data showed that lymphadenectomy is beneficial for prognosis when a macroscopically tumor-free resection is achieved 11 ,  12 . Recently, however, the Lymphadenectomy In Ovarian Neoplasms (LION) study showed that in patients with advanced ovarian cancer (FIGO IIB – IV) and clinically (CT scan and intraoperative palpation) inconspicuous lymph nodes, omitting systematic lymphadenectomy did not worsen the prognosis, but operating time and peri- and postoperative morbidity were favorable for patients in the no lymphadenectomy group 13 . In addition, 30-day mortality was almost twice as high in the group where lymphadenectomy was performed. Interestingly, although the lymph nodes were described as normal in CT, metastases were histologically present in 55.7% of cases in the lymphadenectomy group. However, when lymph nodes are enlarged and suspicious, lymphadenectomy up to the renal vein is still part of standard debulking surgery 2 . For the assessment of abdominal and retroperitoneal (nodal) tumor spread, computed tomography (CT) is the standard imaging method in gynecological cancers 14 ,  15 ,  16 and is therefore crucial for optimal preoperative planning. However, there is limited data on the detection accuracy of lymph node metastases by CT scan in ovarian cancer. In this retrospective single-centre study we therefore intended to evaluate the quality and predictive power of CT with regard to lymph node involvement in ovarian cancer on the basis of a patient cohort treated at our tertiary gyneco-oncological unit.

Patients and Methods

Out of 230 patients that presented with ovarian cancer at the Department of Gynecology and Obstetrics at our hospital between the years 2000 and 2012, 114 patients with complete data sets that received a primary surgery with the declared aim of complete cytoreduction and at least five removed lymph nodes were available for this analysis. The records from these patients with ovarian cancer that were treated with standard surgery (tumor debulking, pelvic and paraaortic lymphadenectomy up to the left renal vein) at our department were retrospectively analyzed. Therapeutic recommendations were based on current guidelines and made after patients were discussed with our radiologists on the basis of CT and possibly MRI images in our local tumor board. Until July 2006, the 2-slice model “TWIN RTS” and then the 16-slice model “Brilliance CT 16 Slice” both from Phillips were used for the computer tomography. A highly dose contrast-enhanced CT scan (kV 100, effective mAs 228, layer thickness 1 mm) was performed before and 90 seconds after injection of a contrast medium. The CT examination was recommended when ovarian cancer was suspected and was performed a few weeks (2 – 4 weeks) prior to surgery. Lymph nodes were considered suspect if they were larger than 1 cm in their smallest diameter or if their shape deviated from the normal. Every CT scan was seen by at least two radiologists (advanced resident and senior radiologist). The staging laparotomy included at least removal of both adnexa, the uterus, omentum as well as the pelvic and paraaortic lymph nodes up to the left renal vein. In the case of tumor spread to other locations, the excision of these areas was carried out with the goal of complete cytoreduction. In cases where no complete cytoreduction could be achieved, systematic lymphadenectomy was omitted. The operation was performed exclusively by gynecological surgeons with many years of oncological experience. Criteria for inclusion in the present analysis were the histological diagnosis of epithelial ovarian cancer and complete patient data (reports of indication, surgery, and histology). The FIGO classification used before the amendment, published in 2014 17 , was used. Patient records were extracted from our clinical documentation system SAP GUI (Graphical User Interface) and SAP ISH (Industry Solution Hospital; version 6.17 SP 18). Due to its retrospective character, no patient consent was required, while local ethics committee granted a positive vote to conduct this study (No. 228/17).

Data Analysis

Categorical data are described using absolute and relative frequencies, while the metric variables age (years), body mass index (BMI, kg/m 2 ) and the numbers of removed/positive lymph nodes are described using median and range. The diagnostic performance of the CT scan in terms of correct prediction of lymph node status was analyzed by calculating sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and percentage of correctly classified cases (accuracy). Statistical analyses were performed using IBM ® SPSS ® Statistics, version 24 (IBM Corp. Armonk, NY, USA). All statistical tests were two-sided, and p values of less than 0.05 were considered significant.

Results

Patient and tumor characteristics

A total of 114 patients with lymphadenectomy (at least 5 removed lymph nodes) and complete CT diagnostics were included. Details on patient and tumor characteristics are given in Table 1 . The median age was 58 years (range 29 – 85) and median body mass index was 23.8 kg/m 2 (16.0 – 40.3 kg/m 2 ). The most frequent FIGO stage was IIIC, which was observed in 43.9% of the patients. Any form of bowel surgery was performed in 19.3% of patients, a splenectomy in 3.5% and a stoma was necessary in 7.0% of cases. 65.8% of patients had no macroscopically residual tumors at the end of surgery, while the remaining 34.2% had residual tumors. Platinum-containing adjuvant chemotherapy was administered to 95.6% of patients.

Table 1  Baseline characteristics of patients with ovarian carcinoma and systematic lymphadenectomy (n = 114).

Variable
Age (years)

median

58

range

29 – 85
Body mass index (kg/m 2 )

median

23.8

range

16.0 – 40.3

unknown (n)

13
Staging laparoscopy

no

91 (79.8%)

yes

23 (20.2%)
Final tumor stage (FIGO)

IA

6 (5.3%)

IB

1 (0.9%)

IC

18 (15.8%)

IIA

4 (3.5%)

IIB

2 (1.8%)

IIC

4 (3.5%)

IIIA

10 (8.8%)

IIIB

5 (4.4%)

IIIC

50 (43.9%)

IV

14 (12.3%)
ASA (American Society of Anesthesiologists)

1

5 (4.4%)

2

58 (50.9%)

3

37 (32.5%)

4

1 (0.9%)

unknown

13 (11.4%)
Histological grading

G1

11 (9.6%)

G2

24 (21.1%)

G3

67 (58.8%)

unknown

9 (10.5%)
Histological type

serous

65 (57.0%)

mucinous

4 (3.5%)

clear cell

8 (7.0%)

endometrioid

15 (13.2%)

carcinosarcoma

9 (7.9%)

other

13 (11.4%)
Ascites

no

32 (28.1%)

yes

72 (63.2%)

unknown

10 (8.8%)
Surgical procedure

pelvic peritonectomy (partial/complete)

62 (54.4%)

peritonectomy diaphragm (partial/complete)

14 (12.3%)

intestine surgery

22 (19.3%)

splenectomy

4 (3.5%)
Total number of lymph nodes removed

median

37.0

range

5 – 76
All lymph nodes

negative nodes

55 (48.2%)

at least one positive node

59 (51.8%)

(median, range)

(5, 1 – 48)
Pelvic lymph nodes removed

no

2 (1.8%)

yes

112 (98.2%)
Number of pelvic lymph nodes removed (n = 112)

median

24.5

range

2 – 52
Pelvic lymph nodes (n = 112)

negative nodes

73 (65.2%)

at least one positive node

39 (34.8%)

(median, range)

(3, 1 – 26)
Paraaortic lymph nodes removed

no

5 (4.4%)

yes

109 (95.6%)
Number of paraaortic lymph nodes removed (n = 109)

median

12

range

1 – 48
Paraaortic lymph nodes (n = 109)

negative nodes

58 (53.2%)

at least one positive node

51 (46.8%)

(median, range)

(2, 1 – 22)
Adjuvant chemotherapy (platinum based)

no

4 (3.5%)

yes

109 (95.6%)

unknown

1 (0.9%)
Residual tumor

no

75 (65.8%)

yes

39 (34.2%)
Table 1  Baseline characteristics of patients with ovarian carcinoma and systematic lymphadenectomy (n = 114). median range median range unknown (n) no yes IA IB IC IIA IIB IIC IIIA IIIB IIIC IV 1 2 3 4 unknown G1 G2 G3 unknown serous mucinous clear cell endometrioid carcinosarcoma other no yes unknown pelvic peritonectomy (partial/complete) peritonectomy diaphragm (partial/complete) intestine surgery splenectomy median range negative nodes at least one positive node (median, range) no yes median range negative nodes at least one positive node (median, range) no yes median range negative nodes at least one positive node (median, range) no yes unknown no yes Overall, a median number of 37 (range 5 – 76) lymph nodes was removed and 59 (51.8%) patients had lymph node metastases with a median of 5 (1 – 48) positive lymph nodes. A median number of 24.5 pelvic lymph nodes (range 2 – 52) was removed in 112 patients (for two patients the institutional tumor board recommended paraaortic lymph node removal only), with at least one (median 3, range 1 – 26) positive pelvic lymph node diagnosed in 39 (34.8%) patients. Paraaortic lymphadenectomy was performed in 109 patients with a median of 12 (1 – 48) removed paraaortic lymph nodes. At least one positive paraaortic lymph node was detected in 51 (46.8%) patients (median 2, range 1 – 22). Out of 65 patients with a FIGO stage III tumor, 47 (72.3%) patients had a positive lymph node status, with 40 (61.5%) patients showing at least one positive paraaortic node. A FIGO stage IV tumor was found in 14 patients, and 12 (85.7%) of these patients had positive nodes; 11 (78.6%) patients had at least one metastasis in paraaortic nodes.

CT scan and overall lymph node involvement

49 out of 55 patients with histologically confirmed negative lymph node status had also unsuspicious nodes in the CT scan, while 24 out of 59 patients with confirmed lymph node metastases also showed suspected nodes in the CT scan. Thus, lymph node status was predicted correctly in 73 (64.0%) of the 114 patients. Diagnostic key values were a sensitivity of 40.7%, a specificity of 89.1%, a PPV of 80.0% and a NPV of 58.3% ( Fig. 1 ).
Fig. 1

 Diagnostic performance in terms of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of CT scans with regard to the correct prediction of lymph node status (positive vs. negative) for all lymph nodes, pelvic lymph nodes only and paraaortic lymph nodes only. Full patient cohort (n = 114).

Diagnostic performance in terms of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of CT scans with regard to the correct prediction of lymph node status (positive vs. negative) for all lymph nodes, pelvic lymph nodes only and paraaortic lymph nodes only. Full patient cohort (n = 114).

CT scan and pelvic lymph node involvement

Based on the CT scan, suspect pelvic lymph nodes were described in 10 of 39 patients with histologically confirmed positive pelvic nodes. In 67 of 73 patients with histologically confirmed negative pelvic lymph node status the CT scan also showed unsuspicious nodes. Correct prediction of pelvic lymph node status by CT scan was thus achieved in 77 (68.8%) of the 112 patients that received a pelvic lymphadenectomy. The corresponding values for sensitivity, specificity, PPV and NPV were 25.6, 91.8, 62.5, and 69.8%, respectively ( Fig. 1 ).

CT scan and paraaortic lymph node involvement

Paraaortic lymph nodes were described as suspect based on the CT scan in 21 of 51 patients with histologically confirmed positive paraaortic nodes. On the other hand, in 54 of 58 patients with histologically confirmed negative paraaortic lymph node status, paraaortic nodes were also considered unsuspicious nodes based on the CT scan. Taken together, paraaortic lymph node status was correctly predicted by CR scan in 75 (68.8%) of 109 patients with a paraaortic lymphadenectomy. Sensitivity was 41.2%, specificity 93.1%, PPV 84.0% and negative predictive value 64.3% ( Fig. 1 ).

Subgroup analysis of patients with systematic lymph node dissection only

Given that the evaluation of the diagnostic performance of CT scans with regard to the detection of lymph node involvement might be severely limited in cases with only few removed lymph nodes, we performed an additional subgroup analysis incorporating only patients with a systematic lymph node dissection as defined by at least 15 removed pelvic lymph nodes and 10 removed paraaortic lymph nodes. In the 57 patients included in this subgroup analysis, median numbers of pelvic and paraaortic lymph nodes removed were 29 (range 15 – 52) and 17 (range 10 – 48), respectively. 28 (49.1%) patients had histologically confirmed positive nodes (range 1 – 48); 3 (5.3%) patients had positive pelvic nodes only, 17 (29.8%) had both positive pelvic and paraaortic nodes, and 8 (14.0%) had positive paraaortic lymph nodes without evidence of positive pelvic nodes. Overall, the diagnostic performance of CT scans did not change substantially when only patients with a systematic lymph node dissection were analyzed ( Fig. 2 ). Overall, lymph node status was predicted correctly in 39 (68.2%) of the 57 patients, with diagnostic key values being 53.6, 82.2, 75.0 and 64.9% for sensitivity, specificity, PPV and NPV, respectively. With regard to the prediction of pelvic lymph node involvement, 40 (68.4%) of patients were correctly classified, and the values for sensitivity, specificity, PPV and NPV were 30.0, 89.2, 60.0 and 70.2%, respectively. Paraaortic lymph node involvement was correctly predicted in 42 (73.7%) patients; sensitivity, specificity, PPV and NPV were 56.0, 87.5, 77.8 and 71.8%, respectively.
Fig. 2

 Diagnostic performance in terms of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of CT scans with regard to the correct prediction of lymph node status (positive vs. negative) for all lymph nodes, pelvic lymph nodes only and paraaortic lymph nodes only. Only patients with a systematic lymph node dissection as defined by removal of at least 15 pelvic and 10 paraaortic lymph nodes (n = 57).

Diagnostic performance in terms of sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of CT scans with regard to the correct prediction of lymph node status (positive vs. negative) for all lymph nodes, pelvic lymph nodes only and paraaortic lymph nodes only. Only patients with a systematic lymph node dissection as defined by removal of at least 15 pelvic and 10 paraaortic lymph nodes (n = 57).

Discussion

In this retrospective study, we found that CT has a rather low sensitivity of 40.7% but a considerably higher specificity of 89.1% with regard to the detection of lymph node metastases (pelvic and/or paraaortic) in ovarian cancer. A separate analysis for pelvic and paraaortic lymph node involvement showed a better diagnostic performance of CT for the detection of positive paraaortic lymph nodes (sensitivity and specificity of 41.2 and 93.1%, respectively), as compared to the detection of positive pelvic lymph nodes (sensitivity and specificity of 25.6 and 91.8%, respectively). Interestingly, the diagnostic performance of CT scans with respect to the detection of lymph node involvement did not improve that much compared to the full patient cohort when only patients with a systematic lymph node dissection (at least 15 removed pelvic and 10 removed paraaortic nodes) were analyzed. Sensitivity and negative predictive values increased somewhat, while we observed a corresponding slight decrease of specificity and positive predictive value. Thus, our results indicate that the diagnostic performance of CT scans with respect to the detection of lymph node involvement in ovarian cancer remains limited even if only patients with a large number of removed lymph nodes are considered. Compared to other gynecological tumors such as cervical carcinoma, the lymph node status seems to have a limited prognostic relevance in ovarian cancer, at least in the advanced stage (≥ FIGO IIB). In the prospective randomized multicenter LION study 13 , in which patients with advanced ovarian carcinoma (≥ IIB), clinically unsuspicious lymph nodes and optimal debulking surgery were randomized for complete pelvic and paraaortic lymphadenectomy versus no removal of the lymph nodes, there was no difference in overall survival (HR 1.06; 95% CI, 0.83 – 1.34; p = 0.65) and disease-free survival (HR 1.11, 95% CI, 0.92 – 1.34; p = 0.29). However, the key point is that 55.7% of patients in the lymphadenectomy group had lymph node metastases, although they had been described as normal in CT scan. In early ovarian carcinoma on the other hand, retroperitoneal exploration of the lymph nodes is of diagnostic value, as reflected by a change in adjuvant therapy once lymph node metastases are detected, but the therapeutic benefit of lymphadenectomy per se remains unclear 18 ,  19 . The incidence of lymph node metastases in stages FIGO I and II is 14.2% (range 6.1 – 29.6%) and is strongly associated with histological subtype and higher grading 8 ,  20 . In a large retrospective evaluation of 762 patients with epithelial ovarian carcinoma (EOC, FIGO I – IV), Heitz and colleagues showed that a positive nodal status even in an adjusted multivariable Cox regression analysis was significantly associated with poor overall survival (HR 1.52, 95% CI 1.1 – 2.1; p = 0.014) 10 . In another analysis of more than 6000 patients with FIGO stage I, Chan and collegues could even demonstrate a clear survival advantage for patients with systematic lymphadenectomy independent of other prognostic factors 4 . However, other studies could not find a survival advantage of lymphadenectomy over no lymphadenectomy or sampling of a few lymph nodes confined to the pelvis in ovarian cancer 21 ,  22 . Nevertheless, a systematic lymphadenectomy is indicated for macroscopically abnormal and especially for bulky nodes – independent of FIGO stage 23 or histology 24 . Preoperative knowledge of the lymph node status is therefore of enormous importance for therapy planning. The lymph drainage of the ovaries runs primarily via the infundibulopelvic ligament into the paraaortic and paracaval region 25 with increasing incidence of lymph node metastases at higher FIGO stages 26 . However, also pelvic lymph node metastases are common in ovarian cancer, especially in higher tumor stages 27 . Preoperative cross-sectional imaging should always be performed if ovarian carcinoma is suspected; in this case CT is most frequently used as a tool to evaluate intraabdominal and retroperitoneal (lymph node) tumor spread 2 . In a review, Rutten et al. examined a total of 11 studies that have established prediction models for the probability of complete cytoreduction using the preoperative CT scan 28 . In five of these studies which included patients with ovarian carcinoma of stages FIGO III and IV, the infrarenal lymph node status was explicitly included in the evaluation 14 ,  29 , 30 , 31 , 32 . In the retrospective analysis of 41 patients conducted by Bristow, a sensitivity for infrarenal paraaortic lymph nodes (pathological from ≥ 2 cm) of only 14.3% was found, showing the limited value of this method in the prediction of correct lymph node status. However, our study revealed a considerably higher sensitivity rate (41.2%) for the detection of paraaortic lymph node metastases, which was also higher compared to the sensitivity for the detection of pelvic lymph nodes (25.6%). In a large prospective study, conducted by Ferrandina and colleagues, 195 patients with advanced ovarian carcinoma were examined to determine which constellation of radiological (CT scan) and clinical parameters could predict optimal cytoreduction. The evaluation of infrarenal paraaortic lymph nodes (pathological from ≥ 2 cm) also had significant predictive power with an accuracy of 81.9% (specificity 91.8%, PPV 50.0%, NPV 86.6%) 14 . These data are essentially in line with our results with regard to the paraaortic region, showing an accuracy of 68.8% with a sensitivity of 41.2%. Nevertheless, the main question in the studies listed in the review by Rutten was not whether lymph nodes that are diagnosed as positive in CT also show histologically confirmed metastases – although this had to be assumed by the size of more than 2 cm as well –, but rather whether or not enlarged lymph nodes represent a limiting parameter for optimal cytoreduction. The relevant parameter whether lymph nodes are considered benign or malignant is their size, and a size of 10 mm or more in short-axis diameter is considered pathological 33 . In this context, the results of a prospective randomized trial show once more the limitations of the method: Patients with advanced ovarian cancer were randomized either to systematic lymphadenectomy or only removal of so-called bulky nodes. In the lymphadenectomy group, more lymph node metastases were confirmed (70%) due to the significantly larger number of nodes removed. Nevertheless, in the bulky nodes group only 42% of the lymph nodes were positive, although these nodes were actually classified as pathologic due to their size 34 . The LION study, however, did not describe to what extent quality criteria were also relevant for the selection of participating radiologists. These results indicate that diagnosing the pathology based on the size of the lymph nodes does not seem to be sufficiently safe for decisions of such a morbidity-prone surgery as lymphadenectomy. Looking at our data, the PPV for the detection of pelvic and paraaortic lymph node metastases is 62.5 and 84.0%, respectively. It should be explained to the patients in the context of the preoperative patient information – especially in cases with advanced carcinomas – that in about 30% of the patients a lymph node removal possibly represents an overtreatment with a corresponding increase in morbidity. In early ovarian carcinomas (FIGO I – IIA), the rate of lymph node metastases is between 11 and 53%, with paraaortic positive nodes being detected significantly more frequently than pelvic positive nodes 7 . Especially low grade ovarian carcinomas seem to have a high potential for lymphogenic spread 10 ,  22 . A prospective randomized study could not prove a significant difference in progression-free and overall survival between patients with systematic lymphadenectomy compared with lymph nodes sampling in early ovarian cancer (confined to the pelvis), probably due to the lack of statistical power 21 . Retrospective analyses, however, showed that lymphadenectomy was an independent prognostic factor for better survival, even in multivariate analyses 4 ,  35 . Nevertheless, until the data from the prospective LION study were published, lymphadenectomy in advanced ovarian cancer was also a standard component of surgical therapy due to survival advantages reported in retrospective studies. Such a paradigm shift as implemented after the LION study also shows the problematic of relying on retrospective studies only. If macroscopic, static imaging has such a low accuracy, it makes sense to evaluate dynamic examination techniques for their diagnostic accuracy 36 . Dynamic contrast-enhanced (DCE) Magnetic Resonance Imaging (MRI) and Diffusion Weighted Imaging (DWI) MRI can dynamically visualize changes in the microvasculature – e.g. during tumor angiogenesis – by repetitive imaging during gadolinium contrast agent application 37 . In a pooled meta-analysis, Liu and colleagues were able to demonstrate that DWI-MRI has similar accuracy with regard to the detection of lymph node metastases to fluorodeoxyglucose positron emission tomography (area under the curve 0.9 and 0.92, respectively). However, MRI has a comparatively low specificity of 83% (Fluorodeoxyglucose positron emission tomography 98%), so that it is only recommended as a supplementary method 38 . Nevertheless, CT is the most frequently available imaging technique in this field, while PET-CT and MRI are not available across the board. PET-CT and PET-MRI in particular require further evaluation in the diagnosis of ovarian cancer 39 . Limitations of our study are the relatively small sample size and the retrospective character.

Conclusion

The accuracy of CT-scan in detecting lymph node metastasis in ovarian cancer is limited. Especially in advanced stages, CT findings with suspected metastatic lymph nodes should be critically re-evaluated preoperatively. In case of doubt, we would recommend to remove only the region of lymph nodes described as suspect in CT instead of a systematic lymphadenectomy.
  38 in total

1.  Surgical staging and treatment of early ovarian cancer: long-term analysis from a randomized trial.

Authors:  Baptist Trimbos; Petra Timmers; Sergio Pecorelli; Corneel Coens; Koen Ven; Maria van der Burg; Antonio Casado
Journal:  J Natl Cancer Inst       Date:  2010-05-05       Impact factor: 13.506

2.  Lymphatic system of the female genitalia. The morphologic basis of oncologic diagnosis and therapy.

Authors:  A A Plentl; E A Friedman
Journal:  Major Probl Obstet Gynecol       Date:  1971

3.  Systematic aortic and pelvic lymphadenectomy versus resection of bulky nodes only in optimally debulked advanced ovarian cancer: a randomized clinical trial.

Authors:  Pierluigi Benedetti Panici; Angelo Maggioni; Neville Hacker; Fabio Landoni; Sven Ackermann; Elio Campagnutta; Karl Tamussino; Raimund Winter; Antonio Pellegrino; Stefano Greggi; Roberto Angioli; Natalina Manci; Giovanni Scambia; Tiziana Dell'Anna; Roldano Fossati; Irene Floriani; Rita S Rossi; Roberto Grassi; Giuseppe Favalli; Francesco Raspagliesi; Diana Giannarelli; Luca Martella; Costantino Mangioni
Journal:  J Natl Cancer Inst       Date:  2005-04-20       Impact factor: 13.506

4.  A model for predicting surgical outcome in patients with advanced ovarian carcinoma using computed tomography.

Authors:  R E Bristow; L R Duska; N C Lambrou; E K Fishman; M J O'Neill; E L Trimble; F J Montz
Journal:  Cancer       Date:  2000-10-01       Impact factor: 6.860

Review 5.  Lymph node-positive stage IIIC ovarian cancer: a separate entity?

Authors:  Jonathan S Berek
Journal:  Int J Gynecol Cancer       Date:  2009-12       Impact factor: 3.437

6.  The utility of computed tomography scans in predicting suboptimal cytoreductive surgery in women with advanced ovarian carcinoma.

Authors:  Sean C Dowdy; Sally A Mullany; Kathy R Brandt; Bonnie J Huppert; William A Cliby
Journal:  Cancer       Date:  2004-07-15       Impact factor: 6.860

7.  Prognostic value of lymph node ratio in patients with advanced epithelial ovarian cancer.

Authors:  Beyhan Ataseven; Christoph Grimm; Philipp Harter; Sonia Prader; Alexander Traut; Florian Heitz; Andreas du Bois
Journal:  Gynecol Oncol       Date:  2014-10-12       Impact factor: 5.482

8.  Lymph node involvement in epithelial ovarian cancer: analysis of 276 pelvic and paraaortic lymphadenectomies and surgical implications.

Authors:  Philippe Morice; Franklin Joulie; Sophie Camatte; David Atallah; Roman Rouzier; Patricia Pautier; Christophe Pomel; Catherine Lhommé; Pierre Duvillard; Damienne Castaigne
Journal:  J Am Coll Surg       Date:  2003-08       Impact factor: 6.113

9.  A multicenter validation of computerized tomography models as predictors of non- optimal primary cytoreduction of advanced epithelial ovarian cancer.

Authors:  O Gemer; M Gdalevich; M Ravid; B Piura; A Rabinovich; T Gasper; A Khashper; M Voldarsky; L Linov; I Ben Shachar; E Y Anteby; O Lavie
Journal:  Eur J Surg Oncol       Date:  2009-03-28       Impact factor: 4.424

10.  Low-grade Serous Ovarian Carcinoma.

Authors:  Enzo Ricciardi; Thaïs Baert; Beyhan Ataseven; Florian Heitz; Sonia Prader; Mareike Bommert; Stephanie Schneider; Andreas du Bois; Philipp Harter
Journal:  Geburtshilfe Frauenheilkd       Date:  2018-10-19       Impact factor: 2.915

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Review 1.  The role of CT, PET-CT, and MRI in ovarian cancer.

Authors:  Maurits Peter Engbersen; Willemien Van Driel; Doenja Lambregts; Max Lahaye
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Review 2.  Clinical Impact of Lymphadenectomy after Neoadjuvant Chemotherapy in Advanced Epithelial Ovarian Cancer: A Review of Available Data.

Authors:  Stephanie Seidler; Meriem Koual; Guillaume Achen; Enrica Bentivegna; Laure Fournier; Nicolas Delanoy; Huyên-Thu Nguyen-Xuan; Anne-Sophie Bats; Henri Azaïs
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