Quantification of level I neck lymph nodes for lymph node transfer in lymphedema treatment: an anatomical study and review of literature
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ABSTRACT:
SUBMITTER: Rozen W
PROVIDER: S-EPMC10506125 | biostudies-literature | 2023 Jun
REPOSITORIES: biostudies-literature
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Project description:Lymphedema is a frequent complication of breast cancer treatment. As the survival rates of breast cancer continue to increase, the number of women with lymphedema will also increase. Surgical treatment of lymphedema has made significant advances during the past 20 years, and our understanding of these procedures continues to evolve. Vascularized lymph node transfer is an increasingly popular option for surgical treatment of lymphedema; however, the mechanism behind symptomatic relief is not fully understood. A proposed theory for improvement in lymphedema symptoms is lymphangiogenesis and spontaneous regeneration of lymphatic vessels, the timing and degree of which are not well defined. We present the case of a 40-year-old woman with a 10-year history of right upper extremity lymphedema secondary to bilateral mastectomy and right axillary lymph node dissection, who subsequently underwent vascularized omental lymph node transfer and lymphovenous bypass with radiographic evidence of spontaneous lymphatic reconnection within 9 months. To our knowledge, this is the earliest reported radiographic evidence of lymphatic regeneration in a human subject to date, adding to the growing body of evidence to support the therapeutic benefits of vascularized lymph node transfers.
| S-EPMC11573326 | biostudies-literature
Project description:IntroductionVascularized lymph node transfer (VLNT) restores physiological lymphatic function. Although effective, postoperative impairment of donor-site lymphatic function and iatrogenic lymphedema following lymph node transfer remains a pressing concern.MethodsProspective analysis of VLNT patients undergoing dual fluorescent tracers-assisted harvest was performed at our institution from September 2013 to April 2022. Reverse lymphatic mapping of the lower extremity was performed with indocyanine green (ICG). Blue dye was utilized in both white light and near-infrared spectra for visualization of donor-site lymphatic structures. Demographics, intraoperative details, and surgical outcomes were recorded.ResultsTwenty-five patients were included. Median age was 52.9 years with a body mass index of 29.1 kg/m2 and mean follow-up of 44 months (range 24 to 90 months). Lymphedema stage ranged from Campisi 2 to 4. Inguinal VLNT was performed in 13 patients, and 12 patients received combined VLNT and free flap breast reconstruction. No patients required change in lymph node donor site intraoperatively. All ICG stained nodes were preserved in situ. No cases of iatrogenic lower extremity lymphedema were observed. Postoperative bioimpedance spectroscopy, circumferential, and volumetric measurements of the donor-site limb did not show evidence of subclinical or clinical lymphedema. The donor site healed appropriately in 92% of patients; one patient developed methylene blue-induced skin necrosis.ConclusionReverse lymphatic mapping and surgical guidance with dual ICG and blue dye fluorescent tracers provides surgeons with real-time surgical guidance without radioisotope, improves surgical visualization in both white light and near-infrared spectra, and avoids iatrogenic lymphatic dysfunction in the donor limb.
| S-EPMC9278919 | biostudies-literature
Project description:Lymphedemas are caused by the accumulation of protein-rich fluid in the interstitial space, resulting from lymphatic system obstruction. In recent years, omentum flap transfer has gained popularity as a treatment for lymphedema due to its immunogenic and lymphangiogenic properties, which aid in reducing infection rate and volume. Moreover, omental flaps have angiogenesis capabilities, which can aid in successful chronic wound covering. Using a flow-through procedure after omental flap transfer can help reduce complications including venous congestion and steal phenomenon at the recipient site. We present a long-term follow-up of a case of primary lymphedema treated with omental flap transfer with flow-through figuration, demonstrating a gradual decrease in volume, reduced infection rate, and chronic wound coverage. This case report illustrates intriguing postoperative compartment effect and vascular concerns.
| S-EPMC9839241 | biostudies-literature
Project description:BackgroundDeep learning-based head and neck lymph node level (HN_LNL) autodelineation is of high relevance to radiotherapy research and clinical treatment planning but still underinvestigated in academic literature. In particular, there is no publicly available open-source solution for large-scale autosegmentation of HN_LNL in the research setting.MethodsAn expert-delineated cohort of 35 planning CTs was used for training of an nnU-net 3D-fullres/2D-ensemble model for autosegmentation of 20 different HN_LNL. A second cohort acquired at the same institution later in time served as the test set (n = 20). In a completely blinded evaluation, 3 clinical experts rated the quality of deep learning autosegmentations in a head-to-head comparison with expert-created contours. For a subgroup of 10 cases, intraobserver variability was compared to the average deep learning autosegmentation accuracy on the original and recontoured set of expert segmentations. A postprocessing step to adjust craniocaudal boundaries of level autosegmentations to the CT slice plane was introduced and the effect of autocontour consistency with CT slice plane orientation on geometric accuracy and expert rating was investigated.ResultsBlinded expert ratings for deep learning segmentations and expert-created contours were not significantly different. Deep learning segmentations with slice plane adjustment were rated numerically higher (mean, 81.0 vs. 79.6, p = 0.185) and deep learning segmentations without slice plane adjustment were rated numerically lower (77.2 vs. 79.6, p = 0.167) than manually drawn contours. In a head-to-head comparison, deep learning segmentations with CT slice plane adjustment were rated significantly better than deep learning contours without slice plane adjustment (81.0 vs. 77.2, p = 0.004). Geometric accuracy of deep learning segmentations was not different from intraobserver variability (mean Dice per level, 0.76 vs. 0.77, p = 0.307). Clinical significance of contour consistency with CT slice plane orientation was not represented by geometric accuracy metrics (volumetric Dice, 0.78 vs. 0.78, p = 0.703).ConclusionsWe show that a nnU-net 3D-fullres/2D-ensemble model can be used for highly accurate autodelineation of HN_LNL using only a limited training dataset that is ideally suited for large-scale standardized autodelineation of HN_LNL in the research setting. Geometric accuracy metrics are only an imperfect surrogate for blinded expert rating.
| S-EPMC9978473 | biostudies-literature
Project description:To overcome the limitations of lymphedema treatment, human adipose-derived stem cells (hADSCs) were injected into decellularized lymph nodes to produce a recellularized lymph node-scaffold, and the effect of lymphangiogenesis was investigated in lymphedema animal models. Axillary lymph nodes were harvested from Sprague Dawley rats (7 weeks old, 220-250 g) for decellularization. The decellularized lymph nodes were performed and PKH26-labeled hADSCs (1 × 106/50 µL) were injected in the decellularized lymph node-scaffolds. Forty rats were equally divided into four groups: lymphedema as control group, hADSC group, decellularized lymph node-scaffold group, and recellularized lymph node-scaffold group. The lymphedema model was made by removing inguinal lymph nodes, and hADSCs or scaffolds were transplanted. Histopathological assessments were performed by hematoxylin and eosin and Masson's trichrome staining. Lymphangiogenesis was evaluated by Immunofluorescence staining and western blot. Decellularized lymph nodes showed virtually complete absence of cellular material and maintenance of lymph node architecture. The hADSCs were significantly observed in recellularized lymph node-scaffolds group. The recellularized lymph node-scaffold group was histologically similar to normal lymph nodes. The vascular endothelial growth factor A and lymphatic vessel endothelial hyaluronan receptor 1 (LYVE-1) in immunofluorescence staining were highly expressed in recellularized lymph node-scaffolds group. Also, the expression of LYVE-1 protein significantly increased in recellularized lymph node-scaffold group compared with others. Recellularized lymph node -scaffold had a much better therapeutic effect than stem cells or decellularized lymph node-scaffold alone, and induced stable lymphangiogenesis.
| S-EPMC10070624 | biostudies-literature
Project description:Background:Vascularized lymph node transfer (VLNT) is a surgical procedure with high interest to treat lymphedema. Body mass index (BMI) is a well-described factor that increases the risk of lymphedema, but little is known about its influence on the surgical outcomes of lymphedema patients who undergo VLNT. The aim of this study was to analyze the impact of preoperative BMI on the long-term surgical outcomes after VLNT in lymphedema patients. Methods:We retrospectively compiled data of patients with International Society of Lymphology (ISL) stage II or III lymphedema who were treated with VLNT from July 2010 to July 2016 at China Medical University Hospital. Preoperative and postoperative demographic and clinical data, such as limb circumference and number of infection episodes were reviewed. Statistical analyses compared circumference reduction rates and infection episode reduction between preoperative BMI categories was done. In addition, prediction of outcomes based on quantitative preoperative BMI was analyzed. Results:A total of 83 patients met the inclusion criteria. Nine patients (10.8%) were normal weight, 43 (51.8%) were overweight, and 31 (37.3%) were obese. Compared with normal-weight patients, mean circumference reduction rates were significantly lower in overweight (P=0.005) and obese patients (P=0.02), but quantitative BMI was not correlated with circumference reduction rate (P=0.96). However, obese patients had a significantly greater reduction in infection episodes than normal-weight patients (P=0.03). In addition, greater BMI predicted greater reduction in infection episodes after VLNT (P=0.02). Conclusions:VLNT is an effective surgical treatment, especially for lymphedema patients with higher preoperative BMIs. The results of our study suggest that this procedure considerably decreases the number of postoperative infection episodes per year in obese patients, even though preoperative BMI does not influence circumference reduction rate.
| S-EPMC7225467 | biostudies-literature
Project description:PurposeLymph nodes (LNs) in the chest have a tendency to enlarge due to various pathologies, such as lung cancer or pneumonia. Clinicians routinely measure nodal size to monitor disease progression, confirm metastatic cancer, and assess treatment response. However, variations in their shapes and appearances make it cumbersome to identify LNs, which reside outside of most organs.MethodsWe propose to segment LNs in the mediastinum by leveraging the anatomical priors of 28 different structures (e.g., lung, trachea etc.) generated by the public TotalSegmentator tool. The CT volumes from 89 patients available in the public NIH CT Lymph Node dataset were used to train three 3D off-the-shelf nnUNet models to segment LNs. The public St. Olavs dataset containing 15 patients (out-of-training-distribution) was used to evaluate the segmentation performance.ResultsFor LNs with short axis diameter ≥ 8 mm, the 3D cascade nnUNet model obtained the highest Dice score of 67.9 ± 23.4 and lowest Hausdorff distance error of 22.8 ± 20.2. For LNs of all sizes, the Dice score was 58.7 ± 21.3 and this represented a ≥ 10% improvement over a recently published approach evaluated on the same test dataset.ConclusionTo our knowledge, we are the first to harness 28 distinct anatomical priors to segment mediastinal LNs, and our work can be extended to other nodal zones in the body. The proposed method has the potential for improved patient outcomes through the identification of enlarged nodes in initial staging CT scans.
| S-EPMC11329534 | biostudies-literature
Project description:BackgroundMolecular diagnosis has been proposed to enhance the intra-operative diagnosis of sentinel lymph node (SLN) invasion in head and neck squamous cell carcinoma (HNSCC). Although cytokeratin (CK) mRNA quantification with real-time reverse transcriptase-PCR (QRT-PCR) has produced encouraging results, the more discriminating markers remain to be identified.MethodsPemphigus vulgaris antigen (PVA), squamous cell carcinoma antigen (SCCA), and CK17 mRNA were quantified using QRT-PCR, and the results were compared with an extensive histopathological examination of the entire SLNs on 78 SLNs harvested from 22 patients with HNSCC.ResultsSCCA and CK17 quantification showed significantly higher mRNA values for macrometastases (MAs) than for either negative or isolated tumour cell (ITC) SLNs (P<0.01). Pemphigus vulgaris antigen allowed the discrimination of all MAs and micrometastases from both negative and ITC SLNs (P<0.001). For the neck staging of patients, considering metastatic vs non-metastatic status, receiver-operating characteristic curve analysis found areas under the curve of 93.8, 97.9, and 100% for CK17, SCCA, and PVA, respectively. With PVA, a cutoff value of 562 copies per 100 ng of cDNA permitted the correct distinction between patients with positive as opposed to negative neck nodes in all cases.ConclusionPVA seems to be a highly promising marker for accurate intra-operative SLN staging in HNSCC by QRT-PCR.
| S-EPMC2813735 | biostudies-literature
Project description:To evaluate the effectiveness of the number of central compartment lymph nodes (CLNs) on ultrasound (US) in predicting CLN metastasis (CLNM). We prospectively studied 309 papillary thyroid cancer (PTC) patients who underwent thyroidectomy with CLN dissection at our center from May 2017 to July 2017. The number and features of CLNs were evaluated preoperatively via US. All US examinations were performed using a Philips iU 22 or a GE Logiq 9 machine. Correlations between CLNs observed via preoperative US and amount of CLNM were evaluated. We found that ?2 CLNs on the preoperative US was associated with CLNM (P < 0.01). For this feature, the sensitivity, specificity, and area under the curve (AUC) were 54.3%, 66.1%, and 0.61, respectively. The presence of both suspected metastasis and ?2 CLNs on US had a specificity of 86.5%. In addition, ?3 CLNs on preoperative US was associated with large-volume CLNM (>5 metastatic CLNs) (P < 0.01). For this feature, the sensitivity, specificity and AUC were 54.8%, 74.5% and 0.65, respectively. The presence of both suspected metastasis and ?3 CLNs on US had a specificity of 84.9%. The presence of suspected metastasis and/or ?3 CLNs had a sensitivity of 80.6%. Our results suggest that ?2 and???3 CLNs on preoperative US may serve as ancillary preoperative markers for predicting CLNM.
| S-EPMC7178523 | biostudies-literature
Project description:BackgroundPrevious research on the prognostic effectiveness of examined lymph nodes (ELN), lymph node ratio (LNR), and positive lymph nodes (pN) in postoperative gastric cancer (GC) has yielded inconsistent results despite their widespread use.MethodsThis study used a competing risk model (CRM) to evaluate the prognostic efficacy of these markers in patients with GC. Data from 337 patients with lymph node (LN)-positive stage II GC undergoing resection and chemotherapy between 2010 and 2015 were collected from the Surveillance, Epidemiology, and End Results database. Optimal cutoff values for ELN and LNR were determined using restricted cubic splines, and pN was divided into three groups based on the AJCC staging system. The survival analyses were conducted using Kaplan-Meier curves, Cox proportional hazards analysis, cumulative incidence curves, and CRM. Subgroup analysis and interaction tests were performed to evaluate the correlation between LN status and survival within subgroups.ResultsThe results indicated that the optimal cutoff values for ELN, LNR, and pN were 16, 0.1, and 2. Multivariate Cox analysis showed that ELN (hazard ratio [HR] = 0.67), LNR (HR = 2.23), and pN (HR = 2.80) were independent predictors of overall survival, whereas only LNR (HR = 2.08) was independently associated with disease-specific survival. The CRM revealed that LNR (sub-distribution hazard ratio [SHR] = 1.89) and pN (SHR = 2.80) were independently associated with disease-specific survival.ConclusionIn conclusion, ELN, LNR, and pN are all significant predictors of overall survival for GC. However, LNR demonstrates stronger robustness in predicting DSS than ELN and pN. The LNR may supplement the TNM staging system in identifying prognostic discrepancies.
| S-EPMC11885136 | biostudies-literature