Current Status and Progress in the Treatment of Lower Limb Lymphedema After Treatment of Gynecological Oncology

Lymphedema self-assessment among endometrial cancer survivors

PURPOSE

Lower extremity lymphedema (LEL), which causes ankle, leg, and feet swelling, poses a significant challenge for endometrial cancer survivors, impacting physical functioning and psychological well-being. Inconsistent LEL diagnostic methods result in wide-ranging LEL incidence estimates.

METHODS

We calculated the cumulative incidence of LEL based on survivor-reported Gynecologic Cancer Lymphedema Questionnaire (GCLQ) responses in addition to survivor- and nurse-reported leg circumference measurements among a pilot sample of 50 endometrial cancer survivors (27 White, 23 Black) enrolled in the ongoing population-based Carolina Endometrial Cancer Study.

RESULTS

Self-leg circumference measurements were perceived to be difficult and were completed by only 17 survivors. Diagnostic accuracy testing measures (sensitivity, specificity, positive and negative predictive value) compared the standard nurse-measured ≥ 10% difference in leg circumference measurements to GCLQ responses. At a mean of ~11 months post-diagnosis, 54% of survivors met established criteria for LEL based on ≥ 4 GCLQ cutpoint while 24% had LEL based on nurse-measurement. Percent agreement, sensitivity, and specificity approximated 60% at a threshold of ≥ 5 GCLQ symptoms. However, Cohen's kappa, a measure of reliability that corrects for agreement by chance, was highest at ≥ 4 GCLQ symptoms (κ = 0.27).

CONCLUSION

Our findings emphasize the need for high quality measurements of LEL that are feasible for epidemiologic study designs among endometrial cancer survivors. Future studies should use patient-reported survey measures to assess lymphedema burden and quality of life outcomes among endometrial cancer survivors.

Computer-aided diagnosis for screening of lower extremity lymphedema in pelvic computed tomography images using deep learning

Lower extremity lymphedema (LEL) is a common complication after gynecological cancer treatment, which significantly reduces the quality of life. While early diagnosis and intervention can prevent severe complications, there is currently no consensus on the optimal screening strategy for postoperative LEL. In this study, we developed a computer-aided diagnosis (CAD) software for LEL screening in pelvic computed tomography (CT) images using deep learning. A total of 431 pelvic CT scans from 154 gynecological cancer patients were used for this study. We employed ResNet-18, ResNet-34, and ResNet-50 models as the convolutional neural network (CNN) architecture. The input image for the CNN model used a single CT image at the greater trochanter level. Fat-enhanced images were created and used as input to improve classification performance. Receiver operating characteristic analysis was used to evaluate our method. The ResNet-34 model with fat-enhanced images achieved the highest area under the curve of 0.967 and an accuracy of 92.9%. Our CAD software enables LEL diagnosis from a single CT image, demonstrating the feasibility of LEL screening only on CT images after gynecologic cancer treatment. To increase the usefulness of our CAD software, we plan to validate it using external datasets.

Evaluation of Patient-Reported Symptoms and Functioning after Treatment for Endometrial Cancer

The overall survival of women with endometrial cancer is excellent after management. Different management strategies are associated with variable patient-reported outcomes (PROs). Evaluating PROs in the follow-up period can aid in better counseling and intervention for PRO improvement. This study aimed to evaluate the properties of the Slovenian translation of the EORTC QLQ-EN24 assessment scale. Women treated at the University Medical Centre Maribor, Slovenia, between January 2016 and December 2019 were invited to report their symptoms using the EORTC QLQ-EN24 questionnaire. Data were correlated with treatment modalities and clinical characteristics. The median age of participants in our study was 61 years old. PROs were not specific to therapy or clinical characteristics. Overall, women who more frequently reported gastrointestinal symptoms, muscular pain, or back pain also had statistically more frequently decreased levels of PROs in other assessed areas. Women who reported sexual or vaginal problems more often reported significantly poorer body images. Sexual activity within 4 weeks prior to completing the scale was reported by 39% of women. Sexual functioning assessments also showed important correlations between sexual interest, enjoyment, and activity. Individualized follow-ups addressing PROs should be offered to better address concerns and improve long-term outcomes in women with endometrial cancer.

Surgical Staging of Locally Advanced Cervical Cancer: Current Status and Research Progress

Locally advanced cervical cancer (LACC) has large localized lesions, high recurrence and metastasis rate under standard treatment, and low survival rate. The current guidelines still use concurrent radiotherapy as the gold standard of treatment for locally advanced cervical cancer. Several recent studies have shown that surgical staging has higher accuracy in determining metastasis in the para-aortic lymph nodes, bringing survival benefits to some patients. However, the indications for surgical staging and whether surgical staging can improve prognosis are still controversial. We will review the current status and research progress of surgical staging for locally advanced cervical cancer.