scholarly journals The place of lymph dissection in the treatment of cancer and the choice of surgical tactics (review article)

2021 ◽  
Vol 11 (12) ◽  
pp. 203-209
Author(s):  
R. Nikitenko ◽  
K. Vorotyntseva
Keyword(s):  
Colorectal Cancer ◽  
Lymph Nodes ◽  
Early Stage ◽  
Sentinel Lymph Nodes ◽  
Fluorescent Imaging ◽  
Analytical Work ◽  
Surgical Tactics ◽  
Intraoperative Visualization ◽  
Postoperative Quality

Over the past years, due to increase of detection of patients with early-stage stomach cancer and colorectal cancer, and improvement of survival rate, the efforts have been made to gradually develop the concept of sentinel lymph nodes detection in order to improve postoperative quality of life. The article presents the review of the literature on the feasibility of sentinel lymph nodes intraoperative diagnosis the choice of surgical treatment of patients with tumors of the stomach and colon. Analytical work demonstrates that the real time intraoperative visualization of lymph sineses using fluorescent imaging of indocyanine green during laparoscopic surgery for stomach or colorectal cancer is possible and it is a useful method of the lymph nodes mapping, therefore it can lead to intraoperative changes at lymphadenectomy as well as to reduce the surgical injury. It indicates the need in further research and improvement of approach.

Extrapelvic Sentinel Lymph Nodes in Endometrial Cancer Patients With Unmapped Pelvic Side: A Brief Report

2018 ◽  
Vol 28 (4) ◽  
pp. 700-703 ◽  
Author(s):  
Salih Taşkin ◽  
Duygu Altin ◽  
Yavuz Emre Şükür ◽  
Firat Ortaç
Keyword(s):  
Endometrial Cancer ◽  
Lymph Nodes ◽  
Cancer Patients ◽  
Detection Rate ◽  
Near Infrared ◽  
Early Stage ◽  
Sentinel Lymph Nodes ◽  
Fluorescent Imaging ◽  
Systematic Lymphadenectomy ◽  
Early Stage Endometrial Cancer

ObjectiveThe aim of the study was to evaluate extrapelvic sentinel lymph nodes (SLNs) in clinical early-stage endometrial cancer patients with unmapped pelvic side(s) during fluorescent imaging-based sentinel mapping.Materials and MethodsEligible patients underwent sentinel mapping using cervical injection of indocyanine green and near-infrared florescent imaging compatible endoscopic systems. Pelvic SLNs were identified and resected. If bilateral mapping was not achieved, upper lymph nodes areas including presacral, upper common iliac, and para-aortic caval regions were explored for any SLN. Systematic lymphadenectomy was performed after applying SLN algorithm steps.ResultsIn 24 of 101 patients, bilateral pelvic mapping was not achieved. Bilateral unmapping was seen in 4 of 24 and unilateral pelvic side mapping in 20 of 24 patients. There was no extrapelvic SLN among 4 cases with bilateral pelvic unmapping, whereas 8 (40%) of 20 patients with unilateral pelvic mapping had extrapelvic SLNs. Five of extrapelvic SLNs were in presacral, 2 in upper common iliac, and 1 in paracaval regions.ConclusionsObserving for extrapelvic SLNs in cases with unmapped pelvic side(s) could increase detection rate of SLN mapping in clinical early-stage endometrial cancer.

Laparoscopic detection of sentinel lymph nodes followed by lymph node dissection in patients with early stage cervical cancer

2003 ◽  
Vol 90 (2) ◽  
pp. 290-296 ◽  
Author(s):  
Marrije R Buist ◽  
Rik J Pijpers ◽  
Arthur van Lingen ◽  
Paul J van Diest ◽  
Jan Dijkstra ◽  
...  
Keyword(s):  
Cervical Cancer ◽  
Lymph Node ◽  
Lymph Nodes ◽  
Lymph Node Dissection ◽  
Early Stage ◽  
Sentinel Lymph Nodes ◽  
Node Dissection ◽  
Early Stage Cervical Cancer

Novel quinoline-based near-infrared fluorescent bioimaging probe, KSNP117, for sentinel lymph node mapping

2021 ◽  
Author(s):  
Ahmed A. Elbatrawy ◽  
Da Sol Lee ◽  
Sang Bong Lee ◽  
Hui-Jeon Jeon ◽  
Sijoon Lee ◽  
...  
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Near Infrared ◽  
High Sensitivity ◽  
Sentinel Lymph Node Mapping ◽  
Sentinel Lymph Nodes ◽  
Fluorescent Imaging ◽  
Imaging Agents ◽  
Lymph Node Mapping

Near-infrared (NIR) fluorescent imaging agents with biocompatibility and high sensitivity are urgently required for the accurate detection of sentinel lymph nodes (SLNs). Herein, we report the design of a novel...

Clinical application of the sentinel lymph node technique in early ovarian cancer: a pilot study

2018 ◽  
Vol 29 (2) ◽  
pp. 377-381 ◽  
Author(s):  
V Lago ◽  
P Bello ◽  
B Montero ◽  
L Matute ◽  
P Padilla-Iserte ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Lymph Node ◽  
Pilot Study ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Near Infrared ◽  
Early Stage ◽  
Gamma Probe ◽  
Sentinel Lymph Nodes ◽  
Near Infrared Fluorescence Imaging

IntroductionThere is limited evidence favoring the use of the sentinel lymph node technique in ovarian cancer, and no standardized approach has been studied. The objective of the present pilot study is to determine the feasibility of the sentinel lymph node technique by applying a clinical algorithm.MethodsPatients with confirmed ovarian cancer were included. 99mTc and indocyanine green were injected into the ovarian and infundubulo-pelvic ligament stump. A gamma probe and near-infrared fluorescence imaging were used for sentinel lymph node detection.ResultsThe sentinel lymph node technique was performed in ten patients with a detection rate in the pelvic and/or para-aortic region of 100%. The tracer distribution rates of sentinel lymph nodes in the pelvic and para-aortic regions were 87.5% and 70%, respectively.ConclusionThe detection of sentinel lymph nodes in early-stage ovarian cancer appears to be achievable. Based on these results, a clinical trial entitled SENTOV (SENtinel lymph node Technique in OVarian cancer) will be performed.

scholarly journals An Early Intestinal Cancer Prediction Algorithm Based on Deep Belief Network

2019 ◽  
Vol 9 (1) ◽  
Author(s):  
Jing-Jing Wan ◽  
Bo-Lun Chen ◽  
Yi-Xiu Kong ◽  
Xing-Gang Ma ◽  
Yong-Tao Yu
Keyword(s):  
Colorectal Cancer ◽  
Early Stage ◽  
Prediction Algorithm ◽  
Medical Doctors ◽  
Cancer Prediction ◽  
Treatment And Prevention ◽  
Learning Technique ◽  
Previous Prediction ◽  
High Computational Complexity

AbstractThe incidence of colorectal cancer (colorectal cancer, CRC) in China has increased in recent years, and its mortality rate has become one of the highest among all cancers. CRC also increasingly affects people’s health and quality of life, and the workloads of medical doctors have further increased due to the lack of sufficient medical resources in China. The goal of this study was to construct an automated expert system using a deep learning technique to predict the probability of early stage CRC based on the patient’s case report and the patient’s attributes. Compared with previous prediction methods, which are either based on sophisticated examinations or have high computational complexity, this method is shown to provide valuable information such as suggesting potentially important early signs to assist in early diagnosis, early treatment and prevention of CRC, hence helping medical doctors reduce the workloads of endoscopies and other treatments.

Standard ultrastaging compared to one-step nucleic acid amplification (OSNA) for the detection of sentinel lymph node metastases in early stage cervical cancer

2020 ◽  
Vol 30 (12) ◽  
pp. 1871-1877
Author(s):  
Angela Santoro ◽  
Giuseppe Angelico ◽  
Frediano Inzani ◽  
Damiano Arciuolo ◽  
Saveria Spadola ◽  
...  
Keyword(s):  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Early Stage ◽  
Sentinel Lymph Nodes ◽  
Nucleic Acid Amplification ◽  
Lymph Node Status ◽  
Pelvic Lymph Nodes ◽  
Lymph Node Assessment ◽  
Node Metastases

ObjectiveWe compared ultrastaging and one-step nucleic acid amplification (OSNA) examination of sentinel lymph nodes in two homogeneous patient populations diagnosed with early stage cervical cancer. The primary aim of our study was to evaluate the rate and type of sentinel lymph node metastases detected by ultrastaging and OSNA assay. Secondary aims were to define the sensitivity and the negative predictive value of sentinel lymph node biopsy assessed with OSNA and ultrastaging and to define the role of sentinel lymph node assessment in predicting non-sentinel lymph node status.MethodsConsecutive patients who underwent surgery (radical hysterectomy or trachelectomy or cervical conization) at our institution, between January 2018 and March 2020, were enrolled. All patients had a preoperative diagnosis of early-stage cervical carcinoma (International Federation of Gynecology and Obstetrics (FIGO) 2018 stages IA–IIB) and underwent sentinel lymph node assessment with ultrastaging or OSNA. Patients with advanced FIGO stages and special histology subtypes (other than squamous cell carcinoma, adenocarcinoma or adenosquamous carcinoma) or patients with sentinel lymph nodes analyzed only with hematoxylin and eosin were excluded. Clinical data were compared using the χ2 test and Fisher’s exact test. A κ coefficient was determined with respect to lymph node assessment. A p value <0.05 was considered statistically significant.ResultsA total of 116 patients were included in this retrospective analysis (53 ultrastaging, 63 OSNA). Overall, 531 and 605 lymph nodes were removed in the ultrastaging and OSNA groups, respectively, and 140 and 129 sentinel lymph nodes were analyzed in the ultrastaging and OSNA groups, respectively. 22 patients had metastatic sentinel lymph nodes: 6 (11.3%) of 53 patients in the ultrastaging group and 16 (25.4%) of 63 patients in the OSNA group. The total amount of positive SLNs was 7 (5%) of 140 in the ultrastaging group and 21 (16.3%) of 129 in the OSNA group, respectively (p=0.0047). Pelvic lymphadenectomy was performed in 26 (49.1%) of 53 patients in the ultrastaging group and in 34 (54%) of 63 patients in the OSNA group due to comorbidities. Metastatic non-sentinel lymph nodes were found in 4 patients: 2 (7.7%) of 26 patients in the ultrastaging group and 2 (5.9%) of 34 patients in the OSNA group, respectively. The total amount of positive pelvic lymph nodes was 3 (0.6%) of 531 in the ultrastaging group and 4 (0.7%) of 605 in the OSNA group (p=0.61). In the OSNA group, only 2 patients with negative sentinel lymph nodes had metastatic disease in the pelvic lymph nodes. By contrast, no patients with OSNA-positive sentinel lymph nodes had metastases in the pelvic lymph nodes. In the ultrastaging group, all patients with negative sentinel lymph nodes did not have metastatic disease in other pelvic lymph nodes.ConclusionsOSNA assessment of sentinel lymph nodes was associated with a negative predictive value of 91% but poor reliability in detecting node metastases in non-sentinel pelvic lymph nodes. Of note, the ultrastaging protocol revealed higher sensitivity and more reliability in predicting pelvic non-sentinel lymph node status.

Sentinel-node biopsy in early stage ovarian cancer: a prospective multicentre study (SELLY)

2019 ◽  
Vol 29 (9) ◽  
pp. 1437-1439
Author(s):  
Giovanni Scambia ◽  
Camilla Nero ◽  
Stefano Uccella ◽  
Enrico Vizza ◽  
Fabio Ghezzi ◽  
...  
Keyword(s):  
Ovarian Cancer ◽  
Lymph Node ◽  
Sentinel Lymph Node ◽  
Lymph Nodes ◽  
Indocyanine Green ◽  
Epithelial Ovarian Cancer ◽  
Sample Size ◽  
Early Stage ◽  
Sentinel Lymph Nodes ◽  
Exclusion Criteria

BackgroundSystematic para-aortic and bilateral pelvic lymphadenectomy is included in the standard comprehensive surgical staging in presumed early epithelial ovarian cancer. No prospective randomized evidence suggests it has potential therapeutic value, and related morbidity is not negligible.Primary Objective(s)To assess sensitivity, safety, and feasibility of the sentinel lymph node technique in identifying the presence of lymph node metastases in patients with early stage epithelial ovarian cancer.Study HypothesisSentinel lymph node detection with indocyanine green can accurately predict nodal status in a cohort of women with early stage epithelial ovarian cancer.Trial DesignThe SELLY trial is a prospective phase II interventional multicenter study.Major Inclusion/Exclusion CriteriaInclusion criteria: Eastern Cooperative Oncology Group 0–1, apparent International Federation of Gynecology and Obstetrics (FIGO) stage I-II, histologically proven epithelial ovarian cancer.Exclusion criteria: evidence of carcinomatosis, mucinous only at definitive histology.Endpoint(s)Primary endpoint is sensitivity (true positive rate). Secondary endpoints include safety (complications rate of the procedure) and feasibility.Sample SizeAssuming a sensitivity of 98.5% in predicting positive sentinel lymph nodes at histology, a pathological lymph node prevalence of 14.2%, a precision of estimate (ie, the maximum marginal error) d=5%, and a type I error α=0.05, a sample size of 160 patients is needed to test the general hypothesis (ie, to answer whether sentinel lymph nodes identified with indocyanine green can accurately predict nodal status at histology of patients with apparently early epithelial ovarian cancer). Assuming a drop-out rate of 10%, a total of 176 patients will be enrolled in the study.Estimated Dates for Completing Accrual and Presenting ResultsThe accrual should be completed by December 2020 and results should be presented by March 2021.Trial RegistrationThe trial is registered at clinicaltrials.gov (NCT03563781).

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