Increasing Morbidity with Extent of Lymphadenectomy for Primary Malignant Melanoma

Assessment and Reporting of Perioperative Adverse Events and Complications in Patients Undergoing Inguinal Lymphadenectomy for Melanoma, Vulvar Cancer, and Penile Cancer: A Systematic Review and Meta-analysis

BACKGROUND

Inguinal lymph node dissection (ILND) plays a crucial role in the oncological management of patients with melanoma, penile, and vulvar cancer. This study aims to systematically evaluate perioperative adverse events (AEs) in patients undergoing ILND and its reporting.

METHODS

A systematic review was conducted according to PRISMA. PubMed, MEDLINE, Scopus, and Embase were queried to identify studies discussing perioperative AEs in patients with melanoma, penile, and vulvar cancer following ILND.

RESULTS

Our search generated 3.469 publications, with 296 studies meeting the inclusion criteria. Details of 14.421 patients were analyzed. Of these studies, 58 (19.5%) described intraoperative AEs (iAEs) as an outcome of interest. Overall, 68 (2.9%) patients reported at least one iAE. Postoperative AEs were reported in 278 studies, combining data on 10.898 patients. Overall, 5.748 (52.7%) patients documented ≥1 postoperative AEs. The most reported ILND-related AEs were lymphatic AEs, with a total of 4.055 (38.8%) events. The pooled meta-analysis confirmed that high BMI (RR 1.09; p = 0.006), ≥1 comorbidities (RR 1.79; p = 0.01), and diabetes (RR 1.81; p =  < 0.00001) are independent predictors for any AEs after ILND. When assessing the quality of the AEs reporting, we found 25% of studies reported at least 50% of the required criteria.

CONCLUSION

ILND performed in melanoma, penile, and vulvar cancer patients is a morbid procedure. The quality of the AEs reporting is suboptimal. A more standardized AEs reporting system is needed to produce comparable data across studies for furthering the development of strategies to decrease AEs.

A deep learning model based on whole slide images to predict disease-free survival in cutaneous melanoma patients

The application of deep learning on whole-slide histological images (WSIs) can reveal insights for clinical and basic tumor science investigations. Finding quantitative imaging biomarkers from WSIs directly for the prediction of disease-free survival (DFS) in stage I-III melanoma patients is crucial to optimize patient management. In this study, we designed a deep learning-based model with the aim of learning prognostic biomarkers from WSIs to predict 1-year DFS in cutaneous melanoma patients. First, WSIs referred to a cohort of 43 patients (31 DF cases, 12 non-DF cases) from the Clinical Proteomic Tumor Analysis Consortium Cutaneous Melanoma (CPTAC-CM) public database were firstly annotated by our expert pathologists and then automatically split into crops, which were later employed to train and validate the proposed model using a fivefold cross-validation scheme for 5 rounds. Then, the model was further validated on WSIs related to an independent test, i.e. a validation cohort of 11 melanoma patients (8 DF cases, 3 non-DF cases), whose data were collected from Istituto Tumori 'Giovanni Paolo II' in Bari, Italy. The quantitative imaging biomarkers extracted by the proposed model showed prognostic power, achieving a median AUC value of 69.5% and a median accuracy of 72.7% on the public cohort of patients. These results remained comparable on the validation cohort of patients with an AUC value of 66.7% and an accuracy value of 72.7%, respectively. This work is contributing to the recently undertaken investigation on how treat features extracted from raw WSIs to fulfil prognostic tasks involving melanoma patients. The promising results make this study as a valuable basis for future research investigation on wider cohorts of patients referred to our Institute.

Deep learning approach to predict sentinel lymph node status directly from routine histology of primary melanoma tumours

AIM

Sentinel lymph node status is a central prognostic factor for melanomas. However, the surgical excision involves some risks for affected patients. In this study, we therefore aimed to develop a digital biomarker that can predict lymph node metastasis non-invasively from digitised H&E slides of primary melanoma tumours.

METHODS

A total of 415 H&E slides from primary melanoma tumours with known sentinel node (SN) status from three German university hospitals and one private pathological practice were digitised (150 SN positive/265 SN negative). Two hundred ninety-one slides were used to train artificial neural networks (ANNs). The remaining 124 slides were used to test the ability of the ANNs to predict sentinel status. ANNs were trained and/or tested on data sets that were matched or not matched between SN-positive and SN-negative cases for patient age, ulceration, and tumour thickness, factors that are known to correlate with lymph node status.

RESULTS

The best accuracy was achieved by an ANN that was trained and tested on unmatched cases (61.8% ± 0.2%) area under the receiver operating characteristic (AUROC). In contrast, ANNs that were trained and/or tested on matched cases achieved (55.0% ± 3.5%) AUROC or less.

CONCLUSION

Our results indicate that the image classifier can predict lymph node status to some, albeit so far not clinically relevant, extent. It may do so by mostly detecting equivalents of factors on histological slides that are already known to correlate with lymph node status. Our results provide a basis for future research with larger data cohorts.

Late arm and shoulder problems after axillary therapeutic lymph node dissection in patients with melanoma

INTRODUCTION

Lymphedema is exempted, only a few studies have dealt with the late adverse effects in melanoma patients who have undergone axillary therapeutic lymph node dissection (ATLND) for the clinical nodal disease. We evaluated the data on late arm/shoulder problems (ASPs) reported by the patients and daily life impairment after ATLND and identified the risk factors.

MATERIAL AND METHODS

Between 2008 and 2014, 82 patients underwent full en bloc Level I-III ATLND. After a median of 56 months (range 34-104), 76 patients (compliance: 93%) rated their ASPs and daily life dysfunction in a questionnaire, leading to the calculation of individual a Symptom/Problem Summary Score and a Function Summary Score. Multivariate analyses identified risk factors.

RESULTS

Two groups of patients were identified. Group 1: no or mild ASPs, n = 56 (74%). Group 2: at least one moderate, severe and very severe ASP, n = 20 (26%). Overall, lymphedema, numbness and restricted arm movements represented the most frequent ASPs. Based on the distribution of the summary scores, about 60% of the patients reported no or only mild symptoms/problems and no or mild dysfunction. More than mild impairment of daily life was reported by five patients. On multivariate analyses, increasing tumor size and decreasing age were identified as risk factors.

CONCLUSION

Our sample shows that ATLND in melanoma patients with the clinically detectable disease can be performed without a major risk of late ASPs and impaired daily life. Increasing tumor size and decreasing age at the surgery are risk factors for developing ASP-related dysfunction.

Risk Factors for Complications and Long-Term Outcomes Following Completion Lymph Node Dissection for Cutaneous Melanoma: A Retrospective Cohort Study

BACKGROUND

Completion lymph node dissection (CLND) for malignant melanoma is performed for regional cancer control and is associated with a high complication rate. It is unknown whether post-operative complications influence cancer recurrence or survival. Our aim was to evaluate the risk factors for short- and long-term complications after CLND, and to determine whether complications affect recurrence or survival.

METHOD

We performed a retrospective cohort study including all melanoma patients who underwent CLND in the Stockholm region during 2005-2014. Patient and cancer characteristics were collected from medical records, as were clinical outcomes. Assessment was performed by multivariate logistic regression.

RESULTS

Among 144 patients, the risk of any post-operative one year complication was 68.8%. Lymphedema (41.0%), infection (37.5 %), and seroma (31.3 %) were the most common complications. Diabetes and inguinal CLND were associated with nine- and ten-fold increased risks of post-operative complications (p<0.05), respectively. Complications were linked to an increased risk of recurrent cancer (p<0.05), median follow-up time of 49 months, but did not appear to affect five-year survival.

CONCLUSION

Post-operative complications are common in melanoma patients undergoing CLND. Strong risk factors for complications are diabetes and inguinal CLND. Post-operative complications appear to be associated with increased risks of recurrent cancer, but the mechanism is unknown.

Diagnosis and Treatment of Edema and Lymphedema in the Cancer Patient

BACKGROUND

Lymphedema occurs commonly in cancer survivors. It is crucial to properly assess cancer patients in order to distinguish lymphedema from general edema and to initiate evidence based treatment.

PURPOSE

To provide evidence based recommendations for screening, evaluating, and treating lymphedema and to establish the role of the nurse in the care of patients with lymphedema.

METHODOLOGY

Comprehensive overview with narrative literature review of evidence based lymphedema diagnosis and treatment.

FINDINGS

Cancer-related edema represents numerous complex conditions. A variety of interventions are needed to address prevention, early detection, patient education, and effective treatment.

CONCLUSION

Lymphedema treatment is complex and multimodal, and is provided by an interdisciplinary team of properly trained professionals. Nurses play a major role in evaluating, treating and educating patients on the signs and symptoms of cancer-related edema and patient self-management.

CLINICAL IMPLICATIONS

Evidence-based assessment and treatment should be initiated early to improve outcomes and quality of life in patients with cancer-related lymphedema.