Lymph Node Metastasis Research Articles

Identification of a Novel Vascular Endothelial Growth Factor Receptor-3-Targeting Peptide for Molecular Imaging of Metastatic Lymph Nodes.

Because of the insidious nature of lymphatic metastatic cancer, accurate imaging tracing is very difficult to achieve in the clinic. Previous studies have developed the LARGR peptide (named TMVP1) as a radiotracer for vascular endothelial growth factor receptor-3 (VEGFR-3) imaging in cancer. However, its affinity for the target remains insufficient, resulting in low imaging sensitivity. In this study, we identified a high-affinity VEGFR-3 targeting peptide, named TMVP1446, using a multiplex screening platform. TMVP1446 demonstrated a dissociation constant of 8.97 × 10-8 M. Both in vitro and in vivo assays confirmed that fluorescently labeled TMVP1446 specifically bound to VEGFR-3. In a 4T1-luciferase tumor mouse model, cyanine 7-labeled TMVP1446 effectively discriminated between contralateral normal lymph nodes (c-LN) and cancer-metastatic sentinel lymph nodes (m-SLN). To evaluate the potential of TMVP1446, we developed a novel VEGFR-3 positron emission tomography radiotracer ([68Ga]Ga-DOTA-TMVP1446) for cancer-m-SLN imaging. [68Ga]Ga-DOTA-TMVP1446 accurately detected and assessed the status of lymph node metastasis, even in micrometastatic tumors, in the B16-F10 mouse tumor model. These findings suggest that TMVP1446 has great potential for advancing VEGFR-3 molecular imaging and metastatic sentinel lymph node imaging.

Fisher discriminant analysis of multimodal ultrasound in diagnosis of cervical metastatic lymph nodes in papillary thyroid cancer.

The purpose of this study was to develop a diagnostic model utilizing multimodal ultrasound parameters to aid in the detection of cervical lymph node metastasis in papillary thyroid cancer (PTC) patients. The study included 84 suspicious lymph nodes from 69 PTC patients, all of whom underwent fine needle aspiration with pathological results. Data from conventional grayscale ultrasound, shear wave elastography (SWE), and superb microvascular imaging were analyzed. Key ultrasound features were compared between benign and metastatic groups to create a diagnostic model using Fisher's stepwise discriminant analysis. The model's effectiveness was assessed with self-testing, cross-validation, and receiver operating characteristic curve analysis. Four features, namely lymphatic hilum (X1), cortical hyperechogenicity (X2), vascular pattern (X4), and SWEmean (X7), were integral to the discriminant analysis, resulting in the equation: Y1 = -3.461 + 2.423X1 + 0.321X2 + 1.620X4 + 0.109X7, Y2 = -8.053 + 0.414X1 + 2.600X2 + 2.504X4 + 0.192X7. If Y1 < Y2, the LN would be diagnosed as metastatic lymph nodes. The model demonstrated an area under the curve of 0.833, with a sensitivity of 83.33% and specificity of 83.33%. The multimodal ultrasound diagnostic model, established through Fisher's stepwise discriminant analysis, proved effective in identifying metastatic lymph nodes in PTC patients.

Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma

Clinical and CT characteristics for predicting lymph node metastasis in patients with synchronous multiple primary lung adenocarcinoma

Spatial immunogenomic patterns associated with lymph node metastasis in lung adenocarcinoma

BackgroundLung adenocarcinoma (LUAD) with lymph node (LN) metastasis is linked to poor prognosis, yet the underlying mechanisms remain largely undefined. This study aimed to elucidate the immunogenomic landscape associated with LN metastasis in LUAD.MethodsWe employed broad-panel next-generation sequencing (NGS) on a cohort of 257 surgically treated LUAD patients to delineate the molecular landscape of primary tumors and identify actionable driver-gene alterations. Additionally, we used multiplex immunohistochemistry (mIHC) on a propensity score-matched cohort, which enabled us to profile the immune microenvironment of primary tumors in detail while preserving cellular metaclusters, interactions, and neighborhood functional units. By integrating data from NGS and mIHC, we successfully identified spatial immunogenomic patterns and developed a predictive model for LN metastasis, which was subsequently validated independently.ResultsOur analysis revealed distinct immunogenomic alteration patterns associated with LN metastasis stages. Specifically, we observed increased mutation frequencies in genes such as PIK3CG and ATM in LN metastatic primary tumors. Moreover, LN positive primary tumors exhibited a higher presence of macrophage and regulatory T cell metaclusters, along with their enriched neighborhood units (p < 0.05), compared to LN negative tumors. Furthermore, we developed a novel predictive model for LN metastasis likelihood, designed to inform non-surgical treatment strategies, optimize personalized therapy plans, and potentially improve outcomes for patients who are ineligible for surgery.ConclusionsThis study offers a comprehensive analysis of the genetic and immune profiles in LUAD primary tumors with LN metastasis, identifying key immunogenomic patterns linked to metastatic progression. The predictive model derived from these insights marks a substantial advancement in personalized treatment, underscoring its potential to improve patient management.

The international expert consensus on management of external auditory canal carcinoma.

The objective of this consensus is to provide otolaryngologists with appropriate strategies in the management of external auditory canal (EAC) carcinoma. In the absence of randomized controlled trials, the consensus is based on expert opinions utilizing the Rand/UCLA appropriateness method [Fitch and Aguilar in The RAND/UCLA appropriateness method user's manual, RAND Corporation, Santa Monica, CA, 2001], drawing from existing literature and clinical experience. The management recommendations are structured around 12 key areas, including: definition and pathology, pathogenesis, clinical manifestations, work-up, tumor staging system, surgical management of primary tumor, surgical management of the parotid gland and the temporomandibular joint, lymph node metastasis, radiotherapy, chemotherapy, reconstruction, and follow-up. Management strategies for EAC carcinoma rely on tumor extension and histopathological features. Surgical removal with free surgical margins or combination with radiotherapy, chemotherapy are most often the best options. Given the rarity of the disease, prospective, randomized, multi-institutional clinical trials should be designed to enable reliable comparisons of the outcomes of EAC carcinoma treatments, thereby providing evidence-based clinical data to establish widely accepted guidelines. It emphasizes the need for a multidisciplinary team to be involved in the management of EAC carcinoma, and regular follow-up should be implemented postoperatively.

Risk nomogram for papillary thyroid microcarcinoma with central lymph node metastasis and postoperative thyroid function follow-up

BackgroundThe treatment for papillary thyroid microcarcinoma (PTMC) is controversial. Central lymph node metastasis (CLNM) is one of the main predictors of recurrence and survival, accurate preoperative identification of CLNM is essential for surgical protocol establishment for PTMC. The objective of this study was to establish a nomogram to predict the possibility of CLNM in PTMC patients.MethodsA total of 3023 PTMC patients were randomly divided into two groups by a ratio of 7 to 3, the training group (n = 2116) and validation group (n = 907). The LASSO regression model and multivariate logistic regression analysis were performed to examine risk factors associated with CLNM. A nomogram for predicting CLNM was established and internally validated. Meanwhile, we follow-up the serum thyroid function FT3, FT4, TSH, Tg, TGAb and TPOAb in 789 PTMC patients for 4 years after surgery and compared the differences between the CLNM (+) and CLNM (-) groups, respectively.ResultsThe LASSO regression model and multivariate logistic regression analysis showed that younger age, lower BMI, being male, location in the lower pole, calcification, 1 ≥ diameter ≥ 0.5 cm, multifocality lesions, extra thyroidal extension (ETE), enlargement of central lymph node (ECLN), lateral lymph node metastasis (LLNM) and higher carcinoembryonic antigen were the ultimate risk factors for determining CLNM. A nomogram for predicting CLNM was constructed based on the influencing factors and internally validated. By establishing the prediction model, the AUC of CLNM in the training and validation groups were 0.73 (95% CI, 0.70-0.76) and 0.75 (95% CI, 0.71-0.79) respectively. Results of the DCA showed that the model is clinically useful when deciding on intervention in the most range of the threshold probability. A 4-year follow-up of thyroid function showed that FT3 and FT4 remained at stable levels after 3 months postoperative and were higher in the CLNM (+) group than in the CLNM (-) group. Hypothyroidism appeared predominantly within 3 months after surgery. The overall incidence of the CLNM (+) group and CLNM (-) groups were 16.46% and 12.04%, respectively.ConclusionThe nomogram model constructed in this study has a good predictive effect on CLNM in PTMC patients and provides a reasonable reference for clinical treatment.

Construction of a diagnostic nomogram model for lymph node metastasis in gastric cancer based on human cartilage glycoprotein-39, carbohydrate antigen 50, and serum ferritin

Construction of a diagnostic nomogram model for lymph node metastasis in gastric cancer based on human cartilage glycoprotein-39, carbohydrate antigen 50, and serum ferritin

Prognostic Significance of Angiogenesis in invasive ductal carcinoma

Background: Angiogenesis is essential for tumor growth and metastasis. Axillary lymphnode status has been the most important prognostic factor in operable breast carcinoma, but it does not fully account for the varied disease outcome. More accurate prognostic indicators would help in selection of patients at high risk for disease recurrence and death who are candidates for systemic adjuvant therapy. Microvessel density in invasive ductal carcinoma (measures of tumor angiogenesis) is associated with metastasis and thus may be a prognostic indicator. Objective: To correlate intratumoral and peritumoral angiogenic microvessel density with lymphnode metastasis in invasive ductal carcinoma. Material and Methods: It is a cross sectional observational study, carried out at the department of Pathology, BSMMU from January 2016 to December 2017. A total 48 mastectomy samples with axillary nodes from histologically confirmed invasive ductal carcinoma were included in this study. Weidner method was used for calculating micro vessels density. Sections examined to evaluate the density of angiogenic vessels by immuohistological stain with vWF expression in invasive breast cancer. Correlation between angiogenic vessels density with or without lymphnode metastasis was taken. Results: In this study angiogenic vessel count is more in the intratumoral area than peritumoural area. There was a positive significant correlation between lymphnode metastasis with micro vessel density in both peritumoral and intratumoral areas in Weidner method in vWF stain. J Shaheed Suhrawardy Med Coll 2023; 15(1): 59-65

The circRNA circSCAF8 promotes tumor growth and metastasis of gastric cancer via miR-1293/TIMP1signaling.

SR-like CTD-associated factor 8 (SCAF8) can regulate transcriptional termination, but the function of circSCAF8 remains unclear. In our study, we observed a significant increase in circSCAF8 expression in gastric cancer, particularly in tissues with lymph node metastasis. The Kaplan-Meier curve revealed that high circSCAF8 expression was associated with a low overall survival time in gastric cancer patients. Moreover, circSCAF8 shRNA effectively decreased gastric cancer proliferation, invasion, and migration in vitro. Additionally, using bioluminescence imaging (BLI) technology in vivo, we found that circSCAF8 shRNA viruses inhibited the growth of xenograft tumors and gastric cancer lung metastasis. RNA immunoprecipitation (RIP) and circRNA pulldown assays confirmed the direct binding of circSCAF8 to miR-1293, but circSCAF8 could not regulate the expression of miR-1293 in gastric cancer. Interestingly, circSCAF8 regulated the downstream gene tissue inhibitor of metalloproteinases 1 (TIMP1) of miR-1293, and this observation was further verified in gastric cancer tissues. Moreover, we confirmed that miR-1293 directly suppressed TIMP1 expression. Subsequent rescue experiments revealed that TIMP1 overexpression reversed the impact of circSCAF8 shRNA viruses on gastric cancer. In conclusion, circSCAF8 expression was elevated in gastric cancer, and circSCAF8 shRNA viruses inhibited gastric cancer growth and metastasis by upregulating TIMP1 expression via miR-1293.

Association of Tobacco With Neck Node Metastasis In Supra-Glottic Carcinoma of Larynx

Background: Carcinoma larynx is one of the most common cancers in the head neck region. Mortality and morbidity in this disease is still high in spite of modern treatment modalities. Smoking and Alcohol is recognized as common predisposing factor for carcinoma larynx. Neck node metastasis increases the mortality twice than the primary alone. Most of the Laryngeal carcinoma patient with neck node metastasis are smoker in our country. Stopping the consumption of tobacco may reduce both mortality and morbidity of carcinoma larynx. Metastasis is more common in supra-glottic carcinoma of larynx. This study is carried to observe the association of tobacco with lymph node metastasis in supra-glottic carcinoma of larynx. Materials and Methods: This cross sectional study was conducted in Otolaryngology and head Neck surgery department of Dhaka Medical College and Mitford Hospital of Dhaka, Bangladesh from June 2013 to June2015 .212 cases of supra-glottic carcinoma age ranging from 35 year to 90 years (mean age 63.6 ±11.65) was included in this study. Results: Sixty two percent patients were diagnosed with cervical lymph node metastasis. 83.28% patients with nodal metastasis were above 60 years of age and 75.67% patients were manual worker.100% node positive patients were smoker. Smoking for longer period (&gt;30yrs) and higher in number (&gt;30 sticks/day) were found in advanced stage. Significant association was found between site, size, macroscopic features, cellular differentiation and demographic factors of patient with neck node metastasis in supra-glottic carcinoma larynx. Conclusion: As neck node metastasis significantly reduces prognosis so we must be more attentive towards factors that increase the chance of nodal metastasis to avoid the advancement of the disease. J Dhaka Med Coll. 2023; 32(1) : 51-56

Comparative Diagnostic Value of 18F-FDG–PET–CT and Intraoperative Examination in Cervical Cancer Staging

Background and Objectives: The primary objective of this study is to assess the effectiveness of 18F-FDG–PET–CT in preoperative staging of cervical cancer, focusing on determining surgical operability and exploring the correlation between its quantitative parameters and clinicopathological characteristics. Materials and Methods: This retrospective study included 62 cervical cancer patients treated at the Department of Gynecology, Clinic for Operative Oncology at the Institute of Oncology Vojvodina between January 2016 and January 2020, where preoperative clinical examinations and 18F-FDG–PET–CT were performed to assess the extent of cancer, followed by intraoperative and pathohistological examinations of surgically removed specimens to provide a comprehensive evaluation. Results: The mean tumor size measured by 18F-FDG–PET–CT was slightly greater than that obtained through clinical examination (26.4 mm vs. 26.0 mm), with a strong linear correlation (r = 0.678, p &lt; 0.001) observed between the two measurement methods. The overall prediction accuracy of 18F-FDG–PET–CT for primary tumors is 88.7% (55/62) [sensitivity 86.8%, specificity 100.0%, PPV 100.0%, NPV 56.2%] and for intraoperative examination is 88.7% (55/62) [sensitivity 98.1%, specificity 33.3%, PPV 89.7%, NPV 75.0%]. The agreement with histopathological examination was good for 18F-FDG–PET–CT and moderate for intraoperative examination for primary tumors. Regarding lymph nodes, the overall prediction accuracy of 18F-FDG–PET–CT is 82.2% (51/62) [sensitivity 53.8%, specificity 89.8%, PPV 58.3%, NPV 88.8%] and for intraoperative examination 66.1% (41/62) [sensitivity 76.9%, specificity 63.3%, PPV 35.7%, NPV 91.2%]. The agreement with histopathological examination was moderate for 18F-FDG–PET–CT and poor for intraoperative examination for lymph node metastasis, highlighting that the overall accuracy of 18F-FDG–PET–CT (82.1%) was significantly higher than that of intraoperative examination (66.1%) (p = 0.002). Conclusions: In conclusion, 18F-FDG–PET–CT provides high accuracy in detecting primary tumors and superior predictive value for lymph node metastases compared to intraoperative examination, highlighting the importance of incorporating this imaging modality into the preoperative evaluation process to enhance diagnostic precision and inform treatment decisions.

Risk factors of cervical central lymph node metastasis in stage T1a unifocal papillary thyroid carcinoma

To investigate the correlation of cervical central lymph node metastasis (CLNM) in stage T1a unifocal papillary thyroid carcinoma (PTC) with the clinicopathological characteristics, ultrasonography features and the number of lymph node dissection, and to analyze the risk factors of CLNM. Data from 493 unifocal PTC patients (T1a) who underwent partial or total thyroidectomy and pCLND at the Guizhou Provincial People’s Hospital were collected and retrospectively analyzed. They were divided into two groups in accordance with cervical CLNM or not. Their information, including clinical characteristics, ultrasound (US) features, pathological results, and other characteristics of the groups, was analyzed and compared using univariate and multivariate logistic regression analyses. A total of 493 patients were eligible in this study. Among them, 33.7% (166/493) of PTC patients had cervical CLNM, and 66.3% (327/493) did not. The two groups were compared using a univariate analyses, and there were no significant differences between the two groups in age, maximum tumor size, tumor location, aspect ratio, boundary, morphology, echogenicity, BRAFV600E and HT (P > 0.05), and there were significant differences between gender, capsule contact, microcalcifications, rich vascularity, and number of lymph node dissection (P < 0.05). A multivariate logistic regression analyses was performed to further clarify the correlation of these indices. However, only male (OR = 1.770, P = 0.009), microcalcifications (OR = 1.791, P = 0.004), capsule contact (OR = 1.857, P = 0.01), and number of lymph node dissection (OR = 2.274, P < 0.001) were independent predictors of cervical CLNM. In conclusion, four independent predictors of cervical CLNM, including male, microcalcifications, capsule contact, and number of lymph node dissection, were screened out. Therefore, a comprehensive assessment of these risk factors should be conducted when designing individualized treatment regimens for PTC patients.

Artificial Intelligence-Based Sentinel Lymph Node Metastasis Detection in Cervical Cancer

Background/objectives: Pathological ultrastaging, an essential part of sentinel lymph node (SLN) mapping, involves serial sectioning and immunohistochemical (IHC) staining in order to reliably detect clinically relevant metastases. However, ultrastaging is labor-intensive, time-consuming, and costly. Deep learning algorithms offer a potential solution by assisting pathologists in efficiently assessing serial sections for metastases, reducing workload and costs while enhancing accuracy. This proof-of-principle study evaluated the effectiveness of a deep learning algorithm for SLN metastasis detection in early-stage cervical cancer. Methods: We retrospectively analyzed whole slide images (WSIs) of hematoxylin and eosin (H&amp;E)-stained SLNs from early-stage cervical cancer patients diagnosed with an SLN metastasis with either H&amp;E or IHC. A CE-IVD certified commercially available deep learning algorithm, initially developed for detection of breast and colon cancer lymph node metastases, was employed off-label to assess its sensitivity in cervical cancer. Results: This study included 21 patients with early-stage cervical cancer, comprising 15 with squamous cell carcinoma, five with adenocarcinoma, and one with clear cell carcinoma. Among these patients, 10 had macrometastases and 11 had micrometastases in at least one SLN. The algorithm was applied to evaluate H&amp;E WSIs of 47 SLN specimens, including 22 that were negative for metastasis, 13 with macrometastases, and 12 with micrometastases in the H&amp;E slides. The algorithm detected all H&amp;E macro- and micrometastases with 100% sensitivity. Conclusions: This proof-of-principle study demonstrated high sensitivity of a deep learning algorithm for detection of clinically relevant SLN metastasis in early-stage cervical cancer, despite being originally developed for adenocarcinomas of the breast and colon. Our findings highlight the potential of leveraging an existing algorithm for use in cervical cancer, warranting further prospective validation in a larger population.

Correlation of magnetic resonance imaging and computed tomography with biological factor expression and lymph node metastasis in aggressive prostate cancer.

This paper focused on probing the correlation of magnetic resonance imaging (MRI) and computed tomography (CT) manifestations with biological factor expression and lymph node metastasis (LNM) in aggressive prostate cancer (PCa). A total of 136 PCa patients underwent surgical treatment, and received CT and MRI examinations before surgery, whereby the apparent diffusion coefficient (ADC) values of quantitative MRI (qMRI) parameters were obtained. Patients were categorized into the non-aggressive PCa group and aggressive PCa group according to the postoperative pathological results and Gleason scores. The expression of biological factors [prostate-specific antigen (PSA), proliferating cell nuclear antigen (PCNA), p27, and ki-67] in both groups was tested. CT and MRI manifestations of aggressive PCa patients were analyzed. The qMRI parameters, biological factors levels and LNM were compared in two groups; the relationships between CT and MRI manifestations, qMRI parameters and positive expression of biological factors and LNM were probed in two groups. In the aggressive PCa group, MRI and CT presented different degrees of abnormal prostate changes. In the aggressive PCa group, PSA and p27 expression and ADC values were lower, and PCNA and ki-67, and LNM rates were higher. Patients' LNM rate was higher than that of ≤ 2 cm when the tumor diameter was &gt; 2 cm. ADC values were positively correlated with PSA and p27 positive expression, and negatively correlated with PCNA, ki-67 and LNM in the aggressive PCa group. MRI and CT manifestations of aggressive PCa had certain characteristics; MRI manifestations and qMRI possessed a correlation with biological factors and LNM; ADC could be employed to assess the aggressiveness of PCa.

Predictive factors for lymph node metastasis in papillary thyroid cancer patients undergoing neck dissection: insights from a large cohort study

BackgroundThis study aimed to investigate the risk factors and metastatic patterns in papillary thyroid cancer (PTC) patients undergoing lymph node dissection, offering guidance for clinical practice.MethodsA total of 924 PTC patients who underwent thyroidectomy with central neck dissection (CND) or lateral neck dissection (LND) between January 2021 and November 2022 were included in the analysis. The study investigated the relationships between clinicopathological characteristics, lymph node metastasis, and various risk factor.ResultsAmong the 924 PTC patients, the cervical lymph node metastasis rate was 59.1% (546 patients). Of these patients, 381 had central neck metastasis (CNM, 41.2%), while the remaining 165 patients had lateral neck metastasis (LNM, 17.9%). Factors associated with increased risk of CNM and LNM included larger tumor diameter, presence of multiple tumors, and capsular invasion (p&amp;lt;0.05). Male sex, age &amp;lt;55 years, larger tumor diameter (&amp;gt;0.85 cm), multiple tumors, capsular invasion, and absence of Hashimoto’s disease were identified as independent risk factors for CNM (p&amp;lt;0.05), with an AUC value of 0.722. CNM, maximum diameter &amp;gt;1.15 cm, and multiple tumors were independent risk factors for LNM (p&amp;lt;0.05), with an AUC of 0.699.ConclusionThese findings suggest that tailored neck dissection based on individual risk factors is crucial, particularly in cases of suspected LNM with larger tumors, CNM, multiple tumors, and capsular invasion.

A case of rapidly progressive prostate cancer with bone and lymph node metastasis after contact laser vaporization for benign prostatic hyperplasia

IntroductionProstate cancer is incidentally diagnosed in 6%–11% of benign prostatic hyperplasia surgeries.Case presentationA 79‐year‐old man was diagnosed with benign prostatic hyperplasia. The prostate volume was 54.5 mL, and the prostate‐specific antigen level was 7.121 ng/mL. Magnetic resonance imaging and prostate biopsy were not performed. He then underwent contact laser vaporization of the prostate. After 3 months, gross hematuria occurred, and the prostate‐specific antigen level was 62.495 ng/mL. Cystoscopy and magnetic resonance imaging revealed prostate cancer with bladder invasion. Prostate biopsy and transurethral resection were performed, revealing adenocarcinoma with a Gleason score of 5 + 5. The patient was diagnosed with prostate cancer T4N1M1b, and triplet therapy was initiated. After 6 months, the prostate‐specific antigen level was 0.037 ng/mL, and the metastases had shrunk.ConclusionVaporization for high‐grade prostate cancer can lead to rapid progression. Therefore, screening for prostate cancer before benign prostatic hyperplasia surgery is important.

Impact of sarcopenia and fat distribution on outcomes in penile cancer

Sarcopenia, defined as age-associated loss of skeletal muscle function and muscle mass, is a negative prognostic marker for survival in several tumor entities. However, data evaluating the impact of sarcopenia and fat distribution on penile cancer are rarely described. We performed a retrospective study including 38 patients who were diagnosed with squamous cell carcinoma of the penis. By measuring skeletal muscle mass and fat distribution at axial abdominal computed tomography images at the third lumbar vertebra several body composition parameters including skeletal muscle index (SMI), psoas muscle index (PMI), visceral obesity and visceral-to-subcutaneous fat ratio were determined. Among 38 patients, 26% (n = 10) of the patients with penile cancer were identified as sarcopenic. SMI, age, lymph node metastases, distant metastases and penile cancer of the shaft were identified as significant risk factors for overall survival. PMI and distant metastases were significantly associated with cancer specific survival. None of the analysed adipose tissue parameters could be identified as risk factors for survival in this study. We showed that sarcopenia occurs in a relevant part of patients with penile cancer and is a significant risk factor for overall survival (p = 0.032) and cancer specific survival (p = 0.034) for patients with penile cancer. Regarding fat distribution further studies are needed to evaluate its impact on sarcopenia and survival.

Risk factor analysis and prediction model construction for contralateral central lymph node metastasis in unilateral papillary thyroid carcinoma

ObjectiveTo investigate contralateral central lymph node metastasis (CCLNM) in patients with unilateral papillary thyroid carcinoma (UPTC). To provide a reference for clinical decision-making, a prediction model for the probability of CCLNM was established.MethodThe clinicopathological data of 221 UPTC patients who underwent surgical treatment were retrospectively analyzed. Univariate and multivariate logistic regression analyses were performed to determine the independent risk factors for CCLNM according to clinicopathological characteristics, construct a prediction model to construct a visual nomogram, and evaluate the model.ResultsAccording to univariate and multivariate logistic regression analyses, sex (P = 0.01, OR: 3.790, 95% CI: 1.373–10.465), extrathyroidal tumor extension (ETE) (P = 0.040, OR: 6.364, 95% CI: 1.083–37.381), tumor diameter (P = 0.010, OR: 3.674, 95% CI: 1.372–9.839) and ipsilateral central lymph node metastasis (ICLNM) (P < 0.001, OR: 38.552, 95% CI: 2.675–27.342) were found to be independent risk factors for CCLNM and were used to construct a nomogram for internal verification. The ROC curve had an AUC of 0.852 in the training group and an AUC of 0.848 in the verification group, and the calibration curve indicated that the prediction probability of the model was consistent with the actual probability. Finally, the analysis of the decision curve showed that the model has good application value in clinical decision-making.ConclusionSex, ETE, tumor size, and ICLNM emerged as independent risk factors for CCLNM in UPTC patients. A predictive model was therefore developed, harnessing these variables to enable an objective, personalized estimation of CCLNM risk. This tool offers valuable insights to inform surgical planning and optimize treatment strategies for UPTC management.

Laparoscopic extraperitoneal approach for lateral lymph node dissection for patients with metachronous lateral pelvic lymph node metastases following surgery for rectal cancer: a case series and short-term outcomes.

There have been few reports of a totally extraperitoneal approach for laparoscopic lateral lymph node dissection (LLND) for patients with metachronous lateral pelvic lymph node metastases following surgery for rectal cancer. Therefore, this study reports the short-term outcomes of LLND via an extraperitoneal approach. A total of 10 patients underwent LLND through a laparoscopic extraperitoneal approach in our hospital since October 2018. Patients with suspected resectable lateral lymph node recurrence after surgery for rectal cancer on computed tomography (CT), magnetic resonance imaging (MRI), or positron emission tomography CT (PET-CT) were selected for this procedure. Nine of the 10 cases were completed using this procedure, but one case was converted to an intraperitoneal approach. The median operative time was 231min, and the median estimated blood loss was 10ml. There was one case of wound infection, but no other postoperative complications were seen. In one patient, no metastases were found in the retrieved lymph nodes. The short-term outcomes of LLND through a laparoscopic extraperitoneal approach were acceptable. Because this procedure can be performed without violating the peritoneum, it is less invasive than the conventional intraperitoneal approach and is useful for metachronous lateral pelvic lymph node metastases.

Short-term outcomes of 47 selective laparoscopic lymph node dissection for rectal cancer: A retrospective study.

This study aims to analyze the safety, feasibility, and short-term oncology outcomes of selective laparoscope lateral lymph node dissection (LLND) with total mesorectal excision surgery. Between December 2019 and May 2023, LLND with total mesorectal excision surgery was performed in 47 selected patients with advanced rectal cancer. Surgical complications and 2-year oncology survival outcomes were analyzed in the study. All 47 procedures were technically successful without converting conversion to open surgery. The mean operation time was 200.6 minutes (135-321 minutes), and the mean estimated blood loss was 92.9 mL (range 10-2000 mL). The most common postoperative complications were anastomotic (8.5%, n = 4), ileus (6.4%, n = 3), and chyle leakage (4.3%, n = 2). Lateral pelvic lymph node metastases were found in 19 (40.4%) patients. When divided into lateral pelvic lymph node positive and negative groups, there was no significant impact on overall survival (94.4% vs 100%, Log-rank P = .596) and local recurrence-free survival (LFRS) (76.7% vs 89.6%, Log-rank P = .210), except disease-free survival (DFS) (58.3% vs 90.2%, Log-rank P = .005). Subgroup analysis showed similar short-term survival outcomes between the pN+ group and the internal iliac metastasis group (Log-rank P of overall survival, LFRS, and DFS were all ˃.05). LRFS and DFS in the obturator or external iliac metastasis group were worse than those in the internal iliac metastasis group when the follow-up time was extended (Log-rank P of LFRS and DFS were .05 and .063). Selective laparoscopy LLND for rectal cancer is safety and feasibility, and its complications are manageable. Oncology survival outcomes for lateral pelvic lymph node metastases limited to the internal iliac are similar to the pN+ stage; therefore, it should be treated positively.