Table of Contents Table of Contents
Previous Page  387 / 1082 Next Page
Information
Show Menu
Previous Page 387 / 1082 Next Page
Page Background

S372

ESTRO 36 2017

_______________________________________________________________________________________________

Results

Three hundred forty-one patients were treated by IMRT

for gynecological or anal cancer between 2007 and 2014.

Fifteen patients had at least one pelvic fracture occurred

after external radiotherapy, an overall incidence of 4.4%.

The age and menopausal status were linked to an

increased fracture risk (p = 0.0274 and p <0.0001,

respectively). The site of the primary tumor

(gynecological or anal canal) was not related to an excess

risk of fracture. The median maximum dose received at

the fracture site was 50.3 Gy (range, 40.8-68.4).

Conclusion

The incidence of pelvic fracture after IMRT was low but

more important after age 50 and postmenopausal

patients. The pre-therapeutic assessment of bone density

by densitometry could be relevant for these patients.

PO-0717 Role of Radiation Therapy in Vulvar Cancer

Patients with One or More Positive Inguinal Lymph

Nodes

M.J. Kanis

1

, N. Rydzewski

2

, E.D. Donnelly

2

, J.R. Lurain

1

,

J. Strauss

2

1

Northwestern University, Gynecologic Oncology,

Chicago, USA

2

Northwestern University, Radiation Oncology, Chicago,

USA

Purpose or Objective

Using a large national cancer database, we aimed to

investigate outcomes for women with one or more than

one positive inguinal lymph nodes in squamous cell vulvar

cancer who were treated with external beam radiation

therapy (EBRT) compared to patients that received no

adjuvant radiation.

Material and Methods

The National Cancer Database (NCDB) was queried to

identify women with vulvar cancer that had one or more

positive lymph nodes diagnosed between 2004 and 2012.

All patients were surgically staged. Chi-square tests and

multivariate logistic regression were performed to analyze

factors associated with receipt of radiation. Survival

analysis was performed using overall survival confidence

intervals (CI), log-rank test, Kaplan-Meier estimates, and

Cox proportional hazards regression.

Results

Of 2,859 patients identified, 1,024 (36%) received no

adjuvant radiation compared to 1,835 (64%) who received

EBRT. Mean number of regional nodes examined was 12.7

for the no radiation group and 12.4 for the EBRT group.

Significant predictors of receiving EBRT over no radiation

included age younger than 70 and a closer distance to the

hospital. 5-year overall survival (OS) for the entire cohort

was 40% (95% CI, 38%-42%). 5-year OS for 1 node positive

was 47% (95% CI, 42%-52%) for no EBRT and 53% (95% CI,

49%-57%) in those receiving EBRT. 5-year OS for 2 or more

nodes positive was 19% (95% CI, 15%-23%) for no EBRT and

35% (95% CI, 32%-38%) for EBRT. Kaplan-Meier estimates

with log-rank test for equality of survivor functions

showed improved survival with EBRT in 1 node positive

(p=0.0129) and 2 or more nodes positive (p<0.0001). Cox

survival multivariate regression model controlling for

confounding variables observed a Hazard Ratio (HR) for

EBRT compared to no radiation of 0.88 (p=0.122) for 1

node positive, and 0.58 (p<0.001) for 2 or more nodes

positive. HR without covariates for 1 node positive was

0.82 (p=0.008).

Conclusion

In a large national cancer database, receipt of EBRT was

associated with improved survival in woman with vulvar

cancer and two or more positive inguinal nodes. In

patients with one positive node, a survival advantage was

seen using Kaplan-Meier estimates and Cox survival model,

but lost statistical significance in a multivariate regression

model. These data lend support to the role of EBRT in the

management of node positive vulvar cancer. Further

research with more detail of other known prognostic

factors are needed to validate these findings.

PO-0718 18-FDG PET/CT parameters to predict survival

and recurrence in cervical cancer

N. Scher

1

, F. Herrera

1

, A. Depeursinge

2

, T. Breuneval

1

, J.

Bourhis

1

, J. Prior

1

, M. Ozsahin

1

, J. Castelli

1

1

Centre Hospitalier Universitaire Vaudois, Radiation

Oncology department, Lausanne Vaud, Switzerland

2

Ecole Polytechnique Fédérale, imaging, Lausanne Vaud,

Switzerland

Purpose or Objective

In the context of locally advanced cervical cancer (LACC)

treated with chemo-radiotherapy, the aim of this study

was to identify the best predictive 18-FDG PET-based

parameters for local-control, disease free- and overall

survival, testing different threshold to compute MTV and

TLG.

Material and Methods

Thirty-seven patients treated with standard chemo-

radiotherapy followed by brachytherapy underwent a pre-

therapy 18-FDG PET/CT. Using different thresholds (from

2.5 to 8 mg/mL and from 30% to 70% of SUVMax), the

following PET parameters were computed: maximum

standardized uptake value (SUVmax), mean standardized

uptake value (SUVmean), metabolic tumor volume (MTV)

for primary tumor and lymph nodes, total lesion glycolysis

(TLG), and a new parameter combining the MTV and the

Euclidian distance between lymph nodes and the primary

tumor, namely metabolic nodes distance (MND).

Correlation between PET and clinical parameters with

clinical outcome (OS, DFS and LRC) was assessed using

univariate and multivariate Cox-model. An internal

validation of the final model was performed using a cross

validation with 5 folds.

Results

The median follow-up was 52 months (range: 7 - 128). The

3-year OS, DFS and LRC were 71.2 % (95% Confidence

Interval (95CI): 56%–86%), 64.1 % (95CI: 48–80) and 69.4 %

(95CI: 53 –84) respectively. In univariate analysis, PET/CT

parameters associated with OS and DFS were: MTV Tumor,

TLG Tumor, TLG Lymph Nodes, and MND. The most

predictive threshold segmentation for MTV and TLG was

48 % of SUV max for the primary tumor and 30% for the

lymph nodes. In multivariate Cox analysis, the TLG T 48%

and MND were the two independent risk factor for OS

(p<0.01), DFS (p<0.01) and LRC (p=0.046). The c-index of

the model for OS, DFS and LRC (adjusted after cross