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Sentinel Lymph Node

The sentinel lymph node is the first lymph node to receive drainage from a tumor site.
Identifying and analyzing the sentinel lymph node is critical for staging and managing various cancers, as it can provide important information about the spread of the disease.
PubCompare.ai's AI-powered tools enable researchers to quickly locate, compare, and optimize sentinel lymph node research protocols from literature, preprints, and patents.
This empowers users to identify the best procedures and products for their needs, streamlining the path to more effective cancer staging and treatmet.

Most cited protocols related to «Sentinel Lymph Node»

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Publication 2008
ARID1A protein, human Drainage Hormones Lymph Node Dissection Lymphography Nodes, Lymph Pelvis Physicians Population at Risk Prostate Radiation Oncologists Radiotherapy Sentinel Lymph Node Therapeutics X-Ray Computed Tomography
The study and design end points have been described else-where.9 (link),10 (link) Briefly, after stratification based on age, hormone receptor status, and tumor size, patients with 1 or 2 sentinel nodes with metastases detected by hematoxylin and eosin stain were randomized to no further axillary-specific treatment including no axillary third-field irradiation (SLND alone group) or completion ALND (ALND group). Patients were assessed for disease recurrence with a history and physical examination every 6 months for the first 36 months and yearly thereafter. Annual mammography was required; other testing was based on individual symptoms or by investigator preference.
Follow-up was planned for 10 years. The primary study end point was overall survival, which was defined as the time from randomization until death from any cause. Disease-free survival, which was defined as the time from randomization to death or first breast cancer recurrence, was a secondary end point along with morbidity and locoregional recurrence. Locoregional recurrence was defined as a tumor in the breast or in ipsilateral axillary, internal mammary, subclavicular, or supraclavicular nodes. All other disease sites were defined as distant metastases. Secondary end points have been reported.6 (link),13 (link)
Publication 2017
Axilla Breast Breast Carcinoma Eosin Hematoxylin Hormones Mammography Neoplasms Patients Physical Examination Radiotherapy Recurrence Sentinel Lymph Node
MSLT-II, an international, multicenter, randomized, phase 3 trial to evaluate the usefulness of completion lymph-node dissection in patients with melanoma and sentinel-node metastases, consisted of a screening phase in which patients were enrolled before sentinel-node biopsy and a randomization phase in which completion lymph-node dissection was compared with observation and nodal ultrasonography (Fig. 1). The trial was conducted at 63 centers.
MSLT-II was designed by the MSLT-II executive committee with input from the pathology and ultrasonography oversight committees (see the Supplementary Appendix, available with the full text of this article at NEJM.org). Data were collected prospectively on paper and later on Web-based case-report forms. The authors vouch for the accuracy and completeness of the data and analyses reported and for the fidelity of the trial to the protocol, available at NEJM.org.
Nodal metastasis was determined by means of standard pathological assessment (including immunohistochemical tests performed according to institutional protocols) or by means of a previously described quantitative reverse-transcriptase–polymerase-chain-reaction (RT-PCR) assay during the screening phase.15 (link) Patients had to have undergone randomization and completion lymph-node dissection within 140 days after diagnostic biopsy.
The randomization phase involved enrollment of patients who had undergone screening and had pathologically or molecularly positive sentinel-node metastases and patients who had not undergone screening in whom sentinel-node metastases were detected by means of pathological assessment. In the randomization phase, fewer patients with RT-PCR–positive findings than anticipated were enrolled. In 2012, the data and safety monitoring board determined that such patients should no longer undergo randomization, since attainment of sufficient power to evaluate a therapeutic effect in that group was not feasible. The data and safety monitoring board recommended continued follow-up of these patients to assess outcomes.
At the third interim analysis, the data and safety monitoring board determined that detection of a significant survival difference between the trial groups was unlikely and recommended that the current primary end-point data be released. Intention-to-treat and per-protocol analyses of the outcome variables showed similar results. Results of per-protocol analyses are reported in this article, since they are likely to be the most clinically pertinent. The intention-to-treat data for the primary end point (melanoma-specific survival) are provided in Figure S1 in the Supplementary Appendix.
Publication 2017
Biological Assay Biopsy Clinical Trials Data Monitoring Committees Diagnosis Immunohistochemistry Lymph Node Dissection Melanoma Neoplasm Metastasis Patients Reverse Transcriptase Polymerase Chain Reaction Sentinel Lymph Node Sentinel Lymph Node Biopsy Therapeutic Effect Ultrasonography
Lymph node samples were cut in 4 equal slices (a, b, c, d) with a special cutting device.18 Two of these slices (a&c) were snap-frozen in liquid nitrogen and stored at −80°C until OSNA analysis was performed. The remaining 2 slices (b&d) were fixed in 4% buffered formaldehyde and embedded in a single paraffin block for histological examination at 5 levels since this was the standard in-house method for sentinel node investigation in both breast cancer and melanoma patients (Fig. 1).20 (link)

Study design: Histology versus OSNA. 346 lymph node samples were cut into 4 pieces. Slices “a” and “c” were subjected to the OSNA method, slices “b” and “c” to histological work-up consisting of 5 levels of H&E, CAM5.2 and CK19 staining. In 120 histologically negative lymph node samples, as determined by the 5 level method, the remainder of the block was completely cut into further levels to assess specificity. 18 samples with differing results as obtained by the 2 methods (discordant cases) were also cut into further levels.

In 346 lymph node samples concordance, sensitivity and specificity were determined based on the comparison of these 2 methods. To investigate whether these figures might be influenced by a sampling bias caused by limited investigation of the material the histologic work-up was extended to all levels in the first 120 histologically negative lymph node samples. The same was done for paraffin blocks of discordant cases. In addition, the homogenised lymph node lysates of samples with discordant OSNA versus histology results were subjected to quantitative reverse-transcriptase polymerase chain reaction (QRT-PCR) and Western Blot analysis. In case these investigations yielded a result compatible with a positive OSNA result these samples were excluded from the final analysis because of a strong indication for sampling bias.
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Publication 2008
Breast Carcinoma Cardiac Arrest Formaldehyde Freezing Investigative Techniques KRT19 protein, human Medical Devices Melanoma Nitrogen Nodes, Lymph Paraffin Paraffin Embedding Patients Reverse Transcriptase Polymerase Chain Reaction Sentinel Lymph Node Western Blot
Eligible patients who provided written informed consent were randomly assigned to undergo completion lymph-node dissection or nodal observation. These patients were 18 to 75 years of age and had clinically localized cutaneous melanoma, an Eastern Cooperative Oncology Group performance status of 0 or 1 (on a 5-point scale, with 0 indicating an absence of disability and higher numbers indicating greater disability), a non–melanoma-related life expectancy of 10 years or more, and a tumor-positive sentinel node. The trial was opened before the universal application of registration. The trial opened in December 2004 and was registered at Clinicaltrials.gov on February 27, 2006. At the time of registration, 119 patients had been enrolled in the trial.
Randomization was performed in a 1:1 ratio with the use of a permuted-block design, which was stratified according to Breslow thickness, ulceration, method of metastasis detection (standard pathological assessment or RT-PCR assay), and enrollment at an MSLT-I center. Patients who were assigned to the observation group were monitored by means of clinical examination every 4 months during the first 2 years, every 6 months during years 3 through 5, and then annually. Nodal ultrasonographic assessment of the sentinel-node basin occurred at each visit for the first 5 years; findings were considered to be abnormal on the basis of a length:depth ratio of less than 2, a hypoechoic center, an absence of hilar vessels, or focal nodularity with increased vascularity. Follow-up of the dissection group involved the same schedule, but without protocol-mandated nodal ultrasonography.
Publication 2017
Biological Assay Blood Vessel Disabled Persons Dissection Familial Atypical Mole-Malignant Melanoma Syndrome Lymph Node Excision Melanoma Neoplasm Metastasis Neoplasms Patients Physical Examination Reverse Transcriptase Polymerase Chain Reaction Sentinel Lymph Node Ulcer Ultrasonography

Most recents protocols related to «Sentinel Lymph Node»

1. Age of 18–75 years
2. Preoperative radiographic assessment including pelvic magnetic resonance imaging or abdominal computerized tomography (CT) is performed to determine tumor is confined to uterus including cervical involvement. Preoperative histology indicates EEC.
3. A history of surgery with curative intent, including total abdominal or laparoscopic hysterectomy, bilateral salpingectomy with or without oophorectomy, pelvic lymphadenectomy or sentinel lymph node mapping and dissection, with or without para-aortic lymphadenectomy
4. Primary histologically confirmed EEC, with one of the following combinations:
1. Eastern Cooperative Oncology Group performance status of 0 or 1
2. Adequate systemic organ function, as follows:
3. Signed, written informed consent
Publication 2023
Abdomen Aorta Dissection Hysterectomy Laparoscopy Lymph Node Excision Neck Neoplasms Operative Surgical Procedures Ovariectomy Pelvis Radiography Salpingectomy Sentinel Lymph Node Uterus X-Ray Computed Tomography

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Publication 2023
Abdomen Adenocarcinoma, Clear Cell Aftercare amant Aorta Carcinoma, Papillary Carcinosarcoma Chest Combination Drug Therapy Diagnosis Endometrial Carcinoma Endometrial Neoplasms Ethics Committees, Research Hysterectomy Laparoscopy Laparotomy Lymph Node Excision Neoplasms, Multiple Primary Operative Surgical Procedures Patients Pelvic Examination Pelvis Pharmaceutical Adjuvants Pharmacotherapy Platinum Radiography, Thoracic Radiotherapy Recurrence Relapse Sentinel Lymph Node Serum Surgeons taxane Therapeutics Uterus Woman X-Ray Computed Tomography Zonal
Two models were constructed and compared to predict sentinel lymph node status: one using logistic ridge regression and another using random forest classification. Model building and analysis were completed in Python using scikit-learn. Logistic regression was chosen as the final model for ELMO as it results in a highly interpretable model; ridge regression controls for variance in the dataset.20 (link) Logistic ridge regression calculates the probability that a patient has SLN metastasis and then uses a probability threshold to assign a positive or negative prediction.
We also analyzed a random forest classification model. These models often have more predictive power than logistic regression models, because they do not assume data linearity.21 (link) Random forests are an ensemble of decision trees that assign a probability to an outcome based on the number of decision trees that predict that outcome. We chose a probability threshold of 5% for both models, which matches the current standard of care.7 (link),10 (link),22 (link)Clinical attributes that have been shown in previous work to have independent, biological relevance with regards to patient outcomes were included in our model, including Breslow depth, stage, ulceration, mitotic rate, age, sex, and primary site.
The development set was used to create and train the models. The tuning set was used to select the appropriate hyperparameters (such as the amount of regularization, a parameter that assists in tuning the model to avoid overfitting) and to select the best performing model.23 The validation cohort was kept separate and was only used to test the final model. Final model parameters were compared to the MSKCC and clinicopathological and gene expression profile (CP-GEP model) parameters through direct comparison to their published validation statistics.5 (link),7 (link),9 (link) Sensitivity, specificity, negative predictive value (NPV), positive predictive value (PPV), and AUC were calculated for the logistic regression and random forest models and compared to previously published model parameters. SLNB reduction rate was calculated by using ELMO to evaluate the percent of patients with ≥T1b melanoma who would not be recommended for SLNB, as previously described ([TN+FN]/[TP+TN+FN+FP]).10 (link) All code necessary to reproduce this model is available at the following link: https://github.com/karenlarson/MelanomaSentinel.
Publication 2023
Biopharmaceuticals Hypersensitivity Melanoma Neoplasm Metastasis Patients Python Sentinel Lymph Node Ulcer
Clinicopathologic characteristics of age, sex, body mass index, operation time, sentinel study time, operation type, tumor size, pathologic stage, number of sentinel lymph nodes (SLNs), and length of the SB were ascertained from medical records collected for the SENORITA trial [6 (link)]. Sentinel study time is the time from the first injection of tracer to identification of the frozen biopsy result for the SLNs. The pathologic stage was classified according to the eighth edition of the American Joint Committee on Cancer Classification [11 ]. We also surveyed recurrence of the 25 patients enrolled from the prospectively collected clinical data in DIRAMS. This study was approved by the Institutional Review Board (IRB) of DIRAMS Cancer Center in Republic of Korea (IRB number D-1304–002-001).
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Publication 2023
Biopsy Ethics Committees, Research Freezing Index, Body Mass Joints Malignant Neoplasms Neoplasms Patients Recurrence Sentinel Lymph Node
For image-guided surgery, 48 h after intravenous injection of IR808-DOTA
(100 μL, 10 μg) into tumor-bearing nude mice, tumor resection
was guided by NIRF imaging.
For lymphatic mapping, tumor-bearing
mice were intradermally injected with IR808-DOTA (10 μL, 1 μg)
on the hind footpad. Lymphatic drainage
and sentinel lymph node imaging were carried out 30 min later.
Publication 2023
Mice, Nude Neoplasms Sentinel Lymph Node Surgery, Image-Guided tetraxetan

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More about "Sentinel Lymph Node"

The sentinel lymph node (SLN) is a crucial concept in cancer staging and management.
It refers to the first lymph node that receives drainage from a tumor site, which is critical for understanding the spread of the disease.
Identifying and analyzing the SLN can provide valuable information about the cancer's stage and guide the treatment approach.
Researchers can leverage AI-powered tools like PubCompare.ai to quickly locate, compare, and optimize SLN research protocols from literature, preprints, and patents.
This empowers users to identify the best procedures and products for their needs, streamlining the path to more effective cancer staging and treatment.
Statistical software such as SAS and SPSS can be utilized to analyze data related to SLN research, while tools like the GentleMACS Dissociator, Nanocoll, DNase I, and MS columns can aid in the processing and analysis of SLN samples.
Additionally, the use of Tissue storage solution, Diagnogreen, and SonoVue can be beneficial in various aspects of SLN research and clinical applications.
By incorporating these insights and technologies, researchers can optimize their SLN research protocols, leading to more accurate staging and improved patient outcomes.
The ability to quickly locate and compare protocols from various sources, as well as identify the best products and procedures, is a powerful advantage in the fight against cancer.