Lymphoedema screening: setting the standard

Quantitative evaluation of primary lower extremity lymphedema staging using MRI: a preliminary study

Background

The staging of primary lower extremity lymphedema (LEL) is difficult yet vital in clinical work, and magnetic resonance imaging (MRI) can be used for quantitative assessment of primary LEL due to its high resolution for soft tissues. In this study, we evaluated the value of MRI-based soft tissue area measurements for staging primary LEL.

Methods

A total of 90 consecutive patients with clinically diagnosed primary lower limb lymphoedema from January 2017 to December 2019 in Beijing Shijitan Hospital were enrolled retrospectively. Short time inversion recovery (STIR) sequence was applied to measure the total, muscle, bone, and subcutaneous areas in the upper 1/3 level of the bilateral lower calf. The difference between the affected and unaffected calf regarding the subcutaneous area was obtained, and (subcutaneous area)/(bone area) and (subcutaneous area)/(muscle area) were calculated. According to the International Society of Lymphology (ISL) clinical staging standard established in 2020, all patients were divided into stages I, II, and III, accordingly. Statistical analysis was performed to determine the validity of MRI measurements in staging LEL.

Results

There were 33 patients classified as stage I clinically, 44 patients as stage II, and 13 patients as stage III. There were significant differences in total, subcutaneous, the difference in subcutaneous area of limbs, subcutaneous/bone (S/B), and subcutaneous/muscle (S/M) between stage I and II as well as between stage I and III (P<0.001), but not between stage II and III (P=0.706, 0.329, and 0.229, respectively). A positive correlation was detected between the clinical stage and difference in subcutaneous area of limbs (rho =0.752, P<0.001), S/B (rho =0.747, P<0.001), S/M (rho =0.709, P<0.001), and subcutaneous (rho =0.723, P<0.001). For staging primary LEL, receiver operating characteristic (ROC) curves indicated that the difference in subcutaneous area of limbs had the best discrimination ability among parameters [area under the ROC curve (AUC) =0.950; 95% confidence interval (CI): 0.875-0.987; sensitivity: 95.45%; specificity: 84.85%], followed by S/B (AUC =0.930; 95% CI: 0.848-0.975; sensitivity: 77.27%; specificity: 93.94%) and S/M (AUC =0.895; 95% CI: 0.804-0.953; sensitivity: 77.27%; specificity: 90.91%). The ROC curves indicated that subcutaneous area (AUC =0.927; 95% CI: 0.844-0.974; sensitivity: 84.09%, specificity: 90.91%) and total (AUC =0.852; 95% CI: 0.753-0.923; sensitivity: 70.45%; specificity: 90.91%) also had discrimination ability between stage I and II.

Conclusions

The measurement of the soft tissue area of the calf may be used as an auxiliary method for staging primary LEL. For patients with unilateral primary LEL, the difference in subcutaneous area of limbs could be a specific indicator to distinguish clinical stage I from II.

A Delphi‐based approach to developing the contents of an online resource, Care Assist, for male caregivers of women with breast cancer

Objective

Informal male caregivers of women with breast cancer (BC) have significant psychological, emotional, and social burdens that are inadequately addressed by current face‐to‐face interventions. Online interventions overcome barriers that limit engagement with face‐to‐face interventions. This study aimed to develop the contents of Care Assist, an online supportive care resource for male caregivers of BC patients, through expert consensus.

Methods

A Delphi study comprising two survey rounds and an expert consultation was conducted. In Round 1, experts in BC care rated the importance of 25 content items. In Round 2, they re‐rated content items that failed to reach consensus (i.e. 80% agreement) in Round 1 or were newly developed. Free‐text responses were also collected. During expert consultation, the resource was reviewed and revised for clarity. Iterative refinement followed all rounds. Quantitative data was analysed descriptively, and qualitative data was analysed using content analysis.

Results

Twenty‐two experts participated and reached consensus on 96% of items, with 217 comments provided on: (a) the perceived benefits of Care Assist to caregivers and care recipients, (b) recommendations of newly suggested content items, wording, and use of external links, and (c) concerns regarding information overload and need for tailoring. The expert consultation comments focused on clarifying scope, wording, and information tailoring.

Conclusion

The rigorous Delphi process resulted in the content for a comprehensive online supportive care intervention for male caregivers. Information overload can be minimised through self‐identification of needs and utilisation of eHealth to personalise the resource for the heterogeneous male caregiver population.

Diagnostic Criteria for Breast Cancer-Related Lymphedema of the Upper Extremity: The Need for Universal Agreement

With advances in breast cancer treatments and resultant increased survival rates, emphasis has been placed on post-treatment complications such as breast cancer-related lymphedema (BCRL), a chronic, negative sequela of breast cancer treatment. Accurate BCRL diagnosis necessitates longitudinal screening beginning at preoperative baseline. Prospective screening programs incorporating symptoms, objective measurements and clinical examination allow for early detection, early intervention, and improved BCRL prognosis. Currently, varied diagnostic criteria for BCRL exist, and this lack of consensus leads to variation in diagnostic and screening practices across institutions. This review outlines current diagnostic tools, including subjective and objective measurement methods and clinical examination. The merits of different criteria are evaluated and recommendations are made regarding measurement tools and diagnostic criteria for BCRL. Ultimately, the BCRL diagnostic process should be universalized and combine objective measurements, clinical evaluation, and symptoms assessment, and adhere to the best practices of the measurement tools used.