Tumor Thickness Research Articles

Node Reporting and Data System Combined With Computed Tomography Radiomics Can Improve the Prediction of Nonenlarged Lymph Node Metastasis in Gastric Cancer.

To investigate the diagnostic performance of Node Reporting and Data System (Node-RADS) combined with computed tomography (CT) radiomics for assessing nonenlargement regional lymph nodes in gastric cancer (GC). Preoperative CT images were retrospectively collected from 376 pathologically confirmed of gastric adenocarcinoma from January 2019 to December 2023, with 605 lymph nodes included for analysis. They were divided into training (n = 362) and validation (n = 243) sets. Radiomics features were extracted from venous-phase, and the radiomics score was obtained. Clinical information, CT parameters, and Node-RADS classification were collected. A combined model was built using machine-learning approach and tested in validation set using receiver operating characteristic curve analysis. Further validation was conducted in different subgroups of lymph node short-axis diameter (SD) range. Node-RADS score, SD, maximum diameter of thickness of tumor, and radiomics were identified as the most predictive factors. The results demonstrated that the integrated model combining SD, maximum diameter of thickness of tumor, Node-RADS, and radiomics outperformed the model excluding radiomics, yielding an area under the receiver operating characteristic curve of 0.82 compared with 0.79, with a statistically significant difference (P < 0.001). Subgroup analysis based on different SDs of lymph nodes also revealed enhanced diagnostic accuracy when incorporating the radiomics score for the 4- to 7.9-mm subgroups, all P < 0.05. However, for the 8- to 9.9-mm subgroup, the combination of the radiomics did not significantly improve the prediction, with an area under the receiver operating characteristic curve of 0.85 versus 0.85, P = 0.877. The integration of radiomics scores with Node-RADS assessments significantly enhances the accuracy of lymph node metastasis evaluation for GC. This combined model is particularly effective for lymph nodes with smaller standard deviations, yielding a marked improvement in diagnostic precision. The findings of this study indicate that a composite model, which incorporates Node-RADS, radiomics features, and conventional parameters, may serve as an effective method for the assessment of nonenlarged lymph nodes in GC.

Tumor thickness is associated with metastasis in patients with submucosal invasive adenocarcinoma of the esophagogastric junction.

In submucosal invasive adenocarcinoma of the esophagogastric junction (pT1b-SM AEG), the extent of tumor submucosal (SM) invasion is measured using the vertical depth of SM invasion with the muscularis mucosa. This study aimed to investigate whether tumor thickness and depth of invasion without accounting for muscularis mucosa were superior to the vertical depth of SM invasion as metastasis predictors. We enrolled patients with pT1b-SM AEG who underwent endoscopic resection or surgical resection (SR) at our institution between January 2011 and September 2019 and were followed up for ≥2years. The relationship between metastasis and clinicopathological factors was examined. Metastasis was defined as pathologically confirmed lymph node metastasis in the surgical specimen or recurrence during follow-up. This study included 57 patients (44 men; median age, 72years). Endoscopic resection and SR were performed in 16 and 41 patients, respectively. Nine patients were diagnosed with metastasis: five who underwent SR showed pathologically confirmed lymph node metastasis in the surgical specimens, and four experienced recurrences during a median follow-up of 48months. Univariate analyses showed that tumor thickness was significantly associated with metastasis (P = 0.021), and the vertical depth of SM invasion (P = 0.48) and depth of invasion (P = 0.38) were not. Furthermore, in multivariate analysis, tumor thickness ≥2800μm (odds ratio, 38.70; P = 0.013) was a significant predictor for metastasis. Tumor thickness may be a more convenient and useful predictor of metastasis in patients with pT1b-SM AEG than the vertical depth of SM invasion.

Establishment and Validation of Prognostic Nomograms for Nonmetastatic Melanoma of the Limbs—A SEER-Based Study

Background Malignant melanoma, a highly aggressive skin cancer, has remarkable incidence and mortality nowadays. This study aims to explore prognostic factors associated with nonmetastatic cutaneous melanoma of the limbs and to develop nomograms for predicting overall survival (OS) and cancer-specific survival (CSS). Methods The study cohort was derived from the Surveillance, Epidemiology, and End Results database. Univariate Cox regression, Lasso regression, and multivariate Cox regression analyses were conducted to identify prognostic factors and construct nomograms. The receiver operating characteristic (ROC) curve, time-dependent C-index, calibration curve, decision curve analysis (DCA) and Kaplan-Meier method were used to evaluate the accuracy and clinical applicability of the nomograms. Results A total of 15,606 patients were enrolled. Multivariate analysis identified several prognostic factors for OS and CSS including age, sex, histologic type, N stage, tumor thickness, depth of invasion, mitotic rate, ulceration, surgery of primary site, systemic therapy, race, and number of lymph nodes examined. A nomogram incorporating 12 independent predictors for OS was developed, with a C-index of 0.866 (95% confidence interval [CI]: 0.858–0.874) in the training cohort and 0.853 (95% CI: 0.839–0.867) in validation. For CSS, 10 independent predictors and one related factor were included, yielding a C-index of 0.913 (95% CI: 0.903–0.923) in the training cohort and 0.922 (95% CI: 0.908–0.936) in validation. The ROC curve, time-dependent C-index, calibration curve, DCA, and K-M plot demonstrated favorable discrimination, calibration, and clinical utility. Conclusion The developed nomograms provide a precise and personalized predictive tool for risk management of patients with nonmetastatic limb melanoma.

Plaque Radiotherapy for Ocular Melanoma

Plaque radiotherapy is an effective treatment modality for medium-sized ocular tumors such as uveal melanoma. The authors review the available literature and concisely summarize the current state of the art of ophthalmic plaque brachytherapy. The choice of radioisotope, which includes Ruthenium-106 and Iodine-125, depends on the intended treatment duration, tumor characteristics, and side effect profiles. Ophthalmic plaques may be customized to allow for the delivery of a precise radiation dose by adjusting seed placement and plaque shape to minimize collateral tissue radiation. High dose rate (HDR) brachytherapy, using beta (e.g., Yttrium-90) and photon-emitting sources (e.g., Ytterbium-169, Selenium-75), allows for rapid radiation dose delivery, which typically lasts minutes, compared to multiple days with low-dose plaque brachytherapy. The efficacy of Ruthenium-106 brachytherapy for uveal melanoma varies widely, with reported local control rates between 59.0% and 98.0%. Factors influencing outcomes include tumor size, thickness, anatomical location, and radiation dose at the tumor apex, with larger and thicker tumors potentially exhibiting poorer response and a higher rate of complications. Plaque brachytherapy is effective for selected tumors, particularly uveal melanoma, providing comparable survival rates to enucleation for medium-sized tumors. The complications of plaque brachytherapy are well described, and many of these are treatable.

Monte Carlo-based dosimetry of proposed bi-radionuclide (125I and 106Ru/106Rh) eye plaque: A feasibility study.

Combining the sharp dose fall off feature of beta-emitting 106Ru/106Rh radionuclide with larger penetration depth feature of photon-emitting125I radionuclide in a bi-radionuclide plaque, prescribed dose to the tumor apex can be delivered while maintaining the tumor dose uniformity and sparing the organs at risk. The potential advantages of bi-radionuclide plaque could be of interest in context of ocular brachytherapy. The aim of the study is to evaluate the dosimetric advantages of a proposed bi-radionuclide plaque for two different designs, consisting of indigenous 125I seeds and 106Ru/106Rh plaque, using Monte Carlo technique. The study also explores the influence of other commercial 125I seed models and presence or absence of silastic/acrylic seed carrier on the calculated dose distributions. The study further included the calculation of depth dose distributions for the bi-radionuclide eye plaque for which experimental data are available. The proposed bi-radionuclide plaque consists of a 1.2-mm-thick silver (Ag) spherical shell with radius of curvature of 12.5mm, 20µm-thick-106Ru/106Rh encapsulated between 0.2mm Ag disk, and a 0.1-mm-thick Ag window, and water-equivalent gel containing 12 symmetrically arranged 125I seeds. Two bi-radionuclide plaque models investigated in the present study are designated as Design I and Design II. In Design I, 125I seeds are placed on the top of the plaque, while in Design II 106Ru/106Rh source is positioned on the top of the plaque. In Monte Carlo calculations, the plaque is positioned in a spherical water phantom of 30cm diameter. The proposed bi-radionuclide eye plaque demonstrated superior dose distributions as compared to 125I or 106Ru plaque for tumor thicknesses ranges from 5 to 10mm. Amongst the designs, dose at a given voxel for Design I is higher as compared to the corresponding voxel dose for Design II. This difference is attributed to the higher degree of attenuation of 125I photons in Ag as compared to beta particles. Influence of different 125I seed models on the normalized lateral dose profiles of Design I (in the absence of carrier) is negligible and within 5% on the central axis depth dose distribution as compared to the corresponding values of the plaque that has indigenous 125I seeds. In the presence of a silastic/acrylic seed carrier, the normalized central axis dose distributions of Design I are smaller by 3%-12% as compared to the corresponding values in the absence of a seed carrier. For the published bi-radionuclide plaque model, good agreement is observed between the Monte Carlo-calculated and published measured depth dose distributions for clinically relevant depths. Regardless of the type of 125I seed model utilized and whether silastic/acrylic seed carrier is present or not, Design I bi-radionuclide plaque offers superior dose distributions in terms of tumor dose uniformity, rapid dose fall off and lesser dose to nearby critical organs at risk over the Design II plaque. This shows that Design I bi-radionuclide plaque could be a promising alternative to 125I plaque for treatment of tumor sizes in the range 5 to 10mm.

Improved ground truth annotation by multimodal image registration from 3D ultrasound to histopathology for resected tongue carcinoma.

This study's objectives are (1) to investigate the registration accuracy from intraoperative ultrasound (US) to histopathological images, (2) to assess the agreement and correlation between measurements in registered 3D US and histopathology, and (3) to train a nnUNet model for automatic segmentation of 3D US volumes of resected tongue specimens. Ten 3D US volumes were acquired, including the corresponding digitalized histopathological images (n = 29). Based on corresponding landmarks, the registrations between 3D US and histopathology images were calculated and evaluated using the target registration error (TRE). Tumor thickness and resection margins were measured based on three annotations: (1) manual histopathological tumor annotation (HTA), manual 3D US tumor annotation, and (2) the HTA registered in the 3D US. The agreement and correlation were computed between the measurements based on the HTA and those based on the manual US and registered HTA in US. A deep-learning model with nnUNet was trained on 151 3D US volumes. Segmentation metrics quantified the model's performance. The median TRE was 0.42mm. The smallest mean difference was between registered HTA in US and histopathology with 2.16mm (95% CI - 1.31; 5.63) and a correlation of 0.924 (p < 0.001). The nnUNet predicted the tumor with a Dice similarity coefficient of 0.621, an average surface distance of 1.15mm, and a Hausdorff distance of 3.70mm. Multimodal image registration enabled the HTA's registration in the US images and improved the agreement and correlation between the modalities. In the future, this could be used to annotate ground truth labels accurately.

Analysis of Calculated Liver Scores for Long-Term Outcome in 423 Cutaneous Melanoma Patients.

Background: Neoadjuvant and adjuvant therapies are currently getting increasingly important in cutaneous melanoma (CM) management. However, there is still a lack of prognostic tools to identify which patients have a poor prognosis. There is increasing evidence that the liver score may be a potential prognostic parameter in different tumour types. The aim was to investigate whether established liver scores can establish the prognosis of CM. Methods: According to established methods, the APRI, the MELD score, the MELD-Na score and the De Ritis ratio were calculated from the laboratory values at the time of the initial diagnosis. Survival was compared with the Kaplan-Meier curve and tested with log-rank tests. Risk factors associated with cutaneous melanoma-specific survival (CMSS) and progression-free survival (PFS) were assessed by using the Cox proportional hazards regression model. To determine the diagnostic accuracy, we performed a time-dependent ROC analysis. Results: A total of 423 patients were included, including 141 patients in AJCC stage (2017) I (33.3%), 82 in stage II (19.4%), 128 in stage III (30.3%) and 72 in stage IV (17%). Median time until melanoma-specific death was 99 months (IQR: 37-126). In addition, 37.6% of patients relapsed with a median time to relapse of 88 months (IQR: 17.5-126). In all stages, tumour thickness and ulceration were independent markers for predicting CMSS and PFS (p < 0.05). The multivariable analysis with all stages showed no significant association with CM outcome for liver scores (p > 0.05). The subgroup analysis revealed that the APRI (≥0.2241) was associated with CMSS and PFS in melanoma stages I and II, independently of tumour thickness, age and ulceration (HR 2.57, 95% CI 1.14-5.75; HR 2.94, 95% CI 1.42-6.09, respectively). Conclusions: The 20-year prognosis of AJCC stage I and II CM was dependent on tumour thickness and the APRI. High tumour thickness and an APRI ≥ 0.2241 at the initial diagnosis were associated with a worse prognosis. Future studies should investigate the independent prognostic value of the APRI in low-stage CM. Furthermore, the APRI score could be a potential biomarker for nomograms.

Abstract B038: Developing and refining a digital skin cancer intervention among Hispanics

Abstract Background: Over the last 20 years, the incidence of melanoma in Hispanic populations has increased by 20%. The mortality rate of Hispanics is higher compared to non-Hispanic whites. In general, compared to NHW, Hispanics diagnosed with melanoma are younger, have thicker tumors, and have worse survival rates. Skin cancer can be prevented with regular sun protection, and early detection can improve skin cancer outcomes. This study aimed to refine and develop a culturally relevant mobile-based skin cancer prevention intervention for Hispanics through group and individual interviews. Methods: Three focus groups of Hispanics at risk for skin cancer and eight individual interviews with key stakeholders, including healthcare providers and community leaders, were conducted via Zoom. Participants were shown culturally relevant messages developed from previous community interviews and provided further feedback to improve and enhance both the messages and intervention design. The interviews lasted for 60-90 minutes and participants received up to $70 electronic gift cards as an incentive. Results: The focus group (two in English and one in Spanish) participants (n=18), aged 18 to 60 years (M=30). Of these participants, 61.1% were female (n=11), and half reported having an educational level lower than a bachelor's degree. Additionally, more than half of the group indicated a household income below $50,000. Among the eight individual interviews with healthcare providers and community leaders, the participants aged from 18 to 56 and reported being family workers, student group leaders, church leaders, and nurses. Emerging themes from the interviews included: 1) messages and images developed from previous community interviews were relatable and informative; 2) the majority favored visuals with text, and preferred a combination of human and cartoon images; 3) information related to general sun protection and skin examination, such as melanoma and SPF needed to be included, as well as information regarding health literacy such as how to effectively find health information and communicate with a health care provider; 4) some common misconceptions, such as the effectiveness of sunscreen on dark skin and reapplication times, were identified. Additionally, participants expressed hesitancy about undergoing skin examination by oneself and/or a doctor, highlighting the importance of providing more detailed guidance to address misperceptions and enhance adherence. Gender differences in adhering to skin protection measures were evident, with women demonstrating greater commitment despite men's higher melanoma rates and sun exposure, emphasizing the need for targeting of men. Conclusions: Participants expressed satisfaction with the intervention's relevance and informativeness for skin cancer education and promoting preventive behaviors. Insights and new ideas regarding intervention design gained from both the interviews will refine the final intervention, enhancing its cultural relevance and effectiveness in preventing skin cancer among the Hispanic community. Behavioral and Social Science: Community-based Interventions Citation Format: Niu Zhaomeng, Karen Dhami, Yonaira Rivera, Emily Peters, Jemima Baskar, Carolina Lozada, Carolyn Heckman. Developing and refining a digital skin cancer intervention among Hispanics [abstract]. In: Proceedings of the 17th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2024 Sep 21-24; Los Angeles, CA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2024;33(9 Suppl):Abstract nr B038.

Retrospective Analysis of Clinicopathological Characteristics of Surgically Treated Basal Cell Carcinomas of the Face: A Single-Centre Maxillofacial Surgery Experience.

Background: Basal cell carcinoma is the most common nonmelanoma skin cancer, followed by cutaneous squamous cell carcinoma. The objective of the current study was to retrospectively evaluate the epidemiology, characteristic variations, histological aspects, and prognosis of basal cell carcinoma of the facial region based on a single-centre experience. Methods: Data from 125 patients admitted to the Department of Oral and Maxillofacial Surgery, University Medical Center Schleswig-Holstein (UKSH), Kiel, for surgical treatment of basal cell carcinomas of the face between January 2015 and April 2021 were evaluated. Results: The mean patient age was 79.58 years, 60.5% were male and 39.5% were female. Six patients (4.8%) had tumour recurrence with no regional metastasis. Seventy-nine patients (63%) were classified as T1. The nose and the temporal region were the most common areas. The mean tumour thickness was 3.20 mm. Conclusions: Micronodular, sclerosing/morphoeic, nodular, and superficial growth patterns of basal cell carcinoma are highly correlated to recurrence, so an excision safety margin is recommended. There is a strong correlation between tumour thickness and recurrence among basal cell carcinoma cases. When completely excised, the recurrence rate for basal cell carcinoma is relatively low.

Advanced diffusion-weighted MRI models for preoperative prediction of lymph node metastasis in resectable gastric cancer.

To investigate the potential of six advanced diffusion-weighted imaging (DWI) models for preoperative prediction of lymph node metastasis (LNM) in resectable gastric cancer (GC). Between Nov 2022 and Nov 2023, standard MRI scans were prospectively performed in consecutive patients with endoscopic pathology-confirmed gastric adenocarcinoma who were referred for direct radical gastrectomy. Six DWI models, including fractional order calculus (FROC), continuous-time random walk (CTRW), diffusion kurtosis imaging (DKI), intravoxel incoherent motion (IVIM), the mono-exponential model (MEM) and the stretched exponential model (SEM) were computed. Surgical pathologic diagnosis of LNM was the reference standard, and patients were classified into LNM-positive or LNM-negative groups accordingly. The morphological features and quantitative parameters of the DWI models in different LNM categories were analyzed and compared. Multivariable logistic regression was used to screen significant predictors. Receiver-operating characteristic curves and the area under the curve (AUC) were plotted to evaluate the performances, the Delong test was performed to compare the AUCs. In the LNM-positive group, tumor thickness and kurtosis (DKI_K) were significantly higher, while anomalous diffusion coefficient (CTRW_D), diffusivity (DKI_D), diffusion coefficient (FROC_D), pseudodiffusion coefficient (IVIM_D*), perfusion fraction (IVIM_f), and ADC were lower compared to the LNM-negative group. Clinical tumor staging (cT) and CTRW_D were independent predictors. Their combination demonstrated a superior AUC of 0.930, significantly higher than that of individual parameters. Tumor thickness, DKI_K, CTRW_D, DKI_D, FROC_D, IVIM_D*, IVIM_f and ADC were associated with LNM status. The combination of independent predictors of cT and CTRW_D further enhanced the performance.

The relationship of clinical and morphological parameters with the BRAF status of the tumor in patients with stage I skin melanoma

Aim: to study the relationship between clinical and morphological parameters of skin melanoma and the BRAF status of the tumor in patients with stage I of the disease. Materials and methods. The study was retrospective and included 200 patients with stage I skin melanoma (pT1-2aN0M0), of which BRAF status was assessed in 88 patients. All patients underwent clinical data analysis, an extended morphological study and a molecular genetic study to determine the BRAF V600E mutation in the primary tumor. Results. The median age of patients in the total sample was 61.5 years. Mutation in the BRAF V600E gene was detected in 25 patients (28.4%). Patient age, tumor location and Breslow thickness were recognized as independent predictors of BRAF status of stage I skin melanoma. With an increase in the patient's age by 1 year, the chance of having a BRAF V600E mutation decreased by 3.4% or 1.04 times (OR = 0.966; 95% CI = 0.935–0.999; p = 0.045). When melanoma was localized in the lumbar region, the chance of having a BRAF V600E mutation increased by 15.311 times (95% CI = 1.239–189.142; p = 0.033). With a tumor thickness according to Breslow of more than 0.7 mm, the chance of having a BRAF V600E mutation increased by 2.939 times (95% CI = 1.031-8.376; p = 0.044). With a threshold value of the logistic function of 50%, the sensitivity and specificity of the proposed model were 28.0% and 93.7%, respectively. When the threshold function value is reduced to 25.3%, the sensitivity of the model increases to 68% with a simultaneous drop in specificity to 61.9%. Conclusion. Younger age, greater tumor thickness according to Breslow, and tumor localization in the lumbar region in patients with stage I skin melanoma increase the chance of having a BRAF V600E mutation, while other morphological parameters of the tumor are not associated with BRAF status. However, moderate sensitivity does not allow for a sufficiently accurate determination of the presence of a mutation, thereby strengthening the belief in the need for molecular genetic testing.

Risk factors and impact of occult and skip metastasis in early-stage oral tongue squamous cell carcinoma.

To investigate risk factors associated with occult lymph node metastases (ONM) and skip metastasis in early-stage oral tongue squamous cell carcinoma (OTSCC) patients. Meanwhile, to analyze the contribution of metastatic nodes to survival outcomes. 544 OTSCC patients who were clinically staged T1-T2N0 with pathologic results from May 2018 to January 2024 were enrolled. Those with ONM were divided into subgroups with or without skip metastasis. Clinical, laboratorial, radiological and pathological factors between groups were analyzed by using univariate analysis and multivariate logistic analysis. The association of tumor growth behavior with the metastatic pattern of lymph nodes was summarized. Additionally, disease free survival (DFS) among different groups were compared using Kaplan-Meier analysis. Tumor growth behavior was associated with ONM. Tumor thickness with a threshold of 6.4mm was not inferior to histological depth of invasion in predicting ONM. Only 1.3% of patients had nodal involvement of neck level IV or V. The DFS of patients with ONM were significantly reduced than those without ONM (P<0.001). The DFS between patients with and without skip metastasis exhibited no statistical significance(P = 0.246). The 1-year, 2-year recurrence rates of patients with or without ONM were 31.9%, 37.5%, 10.1% and 14.0%, correspondingly. Tumor thickness with a threshold of 6.4mm could be used as a preoperative predictor for ONM. Elective neck dissection of level I - III might be sufficient for early stage OTSCC patients. OTSCC patients with ONM should be closely observed during the first 2 years after surgery. The risk of ONM in early stage OTSCC patients might be predicted by tumor thickness calculated on MR imaging. Elective neck dissection of level I - III could remove micrometastases timely and effectively.

Trends in Invasive Melanoma Thickness in Norway, 1983-2019.

Monitoring melanoma incidence time trends by tumour thickness is essential to understanding the evolution of melanoma occurrence and guiding prevention strategies. To assess long-term incidence trends, tumour thickness was extracted from pathology reports in the Cancer Registry of Norway (1983-2007) and the Norwegian Melanoma Registry (2008-2019), n = 45,635 patients. Across all anatomic sites, T1 (≤ 1 mm) incidence increased most (men annual percentage change [AAPC] = 4.6, 95% confidence interval [95% CI] 4.2-5.0; women AAPC = 3.2, 95% CI 2.8-3.6); the increase was steep until 1989/90, followed by a plateau, and a further steep increase from 2004/05. Increased incidence was also observed for T2 (>1.0-2.0) melanoma (men AAPC = 2.8, 95% CI 2.4-3.2; women AAPC = 1.5, 95% CI 1.1-1.9), and T3 (>2.0-4.0) in men (AAPC = 1.4, 95% CI 0.9-1.9). T4 (>4.0) melanoma followed a similar overall pattern (men AAPC = 1.3, 95% CI 0.9-1.7, head/neck, upper limbs, and trunk; women AAPC = 0.9, 95% CI 0.4-1.4, upper limbs and trunk). Men had the highest T3 and T4 incidence and the sex difference increased with age. Regarding birth cohorts, age-specific incidence increased in all T categories in the oldest age groups, while stabilizing in younger patients born after 1950. Overall, the steep increase in T1 melanoma was not accompanied by a decrease in thick melanoma.

Gain of chromosome 8q and high expression of EZH2 may predict poor prognosis in Chinese patients with uveal melanoma

PurposeTo explore risk factors predicting poor prognosis of uveal melanoma in a Chinese population, with specific emphasis on monosomy 3, 8q gain, and EZH2 staining. MethodsEighty-nine patients with uveal melanoma from 2012 to 2021 were reviewed. Clinical and pathological records were collected and analyzed. Immunohistochemical staining of EZH2, monosomy 3 and 8q gain were respectively conducted in 45, 54, and 57 cases. Survival was evaluated by Kaplan–Meier analysis and log-rank test. Cox proportional hazard regressions were employed to predict risk factors of distant metastasis. ResultsThe median follow-up was 44 months. Altogether, 16 % of patients developed distant metastases and died from disease-related causes. Disease-specific survival at one and three years was 96.6 % and 88.4 % while distant metastasis rates were 7.9 % and 12 %. Univariate Cox regression analysis revealed that age (HR: 1.04), tumor largest basal diameter (HR: 1.21), tumor thickness (HR: 1.21), ciliary body involvement (HR: 3.50), AJCC stage (HR: 5.68), epithelioid cell type (HR: 7.71), 8q gain (HR: 7.48), and high expression of EZH2 (HR: 6.09) were associated with distant metastasis. 8q gain was associated with epithelioid cell type and thicker tumor while EZH2 was correlated with epithelioid cell type. Monosomy 3 lacked a significant correlation with other factors. ConclusionEZH2 and 8q gain could be taken into consideration when calculating poor prognosis in Chinese patients with uveal melanoma. Monosomy 3 showed no significance in distant metastasis, but this may be due to a small sample size.

Clinical Implications of Ultrasound-Based Morphology in Choroidal Melanoma

ObjectiveTo describe the frequency of different B-scan morphologies and their association with clinical features and outcomes. DesignCohort study of patients enrolled in the Prospective Ocular Tumor Study from January 2000 to January 2024 initially seen at Mayo Clinic Rochester. ParticipantsConsecutive inclusion of patients with posterior uveal melanoma. MethodsB-scan ultrasounds were performed by an experienced technician and treatment modalities were implemented by the attending oncologist. Main outcomes and measuresTumors were classified by shape as observed on B-scan. Enucleation-, metastasis, -and overall survival (EFS, MTS, and OS) rates were analyzed using Cox-regression models and Kaplan-Meier curves. ResultsAmong 1021 cases of uveal melanoma, 739 (72.4%) were dome-shaped, 119 (11.7%) mushroom-shaped, 85 (8.3%) multilobulated, 77 (7.5%) minimally elevated, and 1 (0.1%) diffuse. The median follow-up duration after presentation was 37 months (3-324). The macula was more commonly involved in minimally elevated tumors compared to the other groups (63.6% vs. 13.8%, p<0.001). These tumors also exhibited a larger proportion of high internal reflectivity (13% vs. 2.3%, p<0.001). The multilobulated group exhibited a significantly larger diameter at baseline (median 15 mm, IQR 6.1-30), whereas the mushroom-shaped group had greater thickness (median 7.9 mm, IQR 1.3 - 17.3) compared to the other groups (p<0.001). EFS at 36 months was lower for mushroom-shaped [60.1% (95% CI, 47.7-70.3)] and multilobulated tumors [71.1% (95% CI, 55.7-82.7)]. At 36 months, multilobulated tumors had lower MFS [68.2% (95%, CI 55-78.2)] and OS [73.9% (95%, CI 59.9-83.64)]. On multivariate analysis adjusted for tumor thickness and diameter, multilobulated melanomas had a higher risk of metastasis (HR 2.08, p=0.003) and death (HR 2.38, p<0.001). ConclusionChoroidal melanoma configuration by B-scan can vary from minimally elevated to dome-shaped to mushroom-shaped or multilobulated. Independent of presenting tumor size, multilobulated morphology was identified as a predictor for metastasis and death. Multilobulated melanomas, identified by a readily available tool such as ultrasonography, warrant a vigilant approach and close monitoring due to a potential association with poor prognosis.

Prevalence of CT-detected extramural vascular invasion in gastric adenocarcinoma and its correlation with other known prognostic factors.

To study the prevalence of extramural vascular invasion (EMVI) in patients with gastric adenocarcinoma (GA) and its association with other prognostic factors. In this retrospective study, consecutive patients with GA who underwent staging CT between January 2021 and December 2022 were included. Two radiologists reviewed the staging CT for EMVI and its grade and documented tumor location, thickness, and TNM stage. Grade 3 and 4 EMVI were reported as ct-EMVI positive and the rest as negative. Similar findings were documented on restaging CT following neoadjuvant chemotherapy (NAC) when available. ct-EMVI was compared with imaging findings on staging and restaging CT, staging laparoscopy findings, peritoneal fluid cytology, and surgical histopathology findings. A total of 191 patients (140 males, 51 females) with a mean age of 53 ± 9years (range 23-93years) were included. 82.2% had poorly differentiated GA and 17.8% had well/moderately differentiated GA. The majority (95.9%) had T3 (n = 34) and T4 (n = 118) disease on baseline CT. The prevalence of ct-EMVI on staging CT was 65% (n = 124), and 34% and 86% among the T3 and T4 GA, respectively. There was a significant association between ct-EMVI and, tumor thickness, tumor extent, ct-T, N, M stages, and especially peritoneal, lymph nodes, and liver metastases and response to NAC (p < 0.05). EMVI is seen commonly in staging CT of advanced gastric cancer patients and is significantly associated with TNM stage, peritoneal metastases, and response to neoadjuvant chemotherapy. Thus, ct-EMVI is a significant prognostic imaging biomarker in GA. IRB min no: 15713.

Construction of a predictive model for gastric cancer neuroaggression and clinical validation analysis: A single-center retrospective study.

This study investigated the construction and clinical validation of a predictive model for neuroaggression in patients with gastric cancer. Gastric cancer is one of the most common malignant tumors in the world, and neuroinvasion is the key factor affecting the prognosis of patients. However, there is a lack of systematic analysis on the construction and clinical application of its prediction model. This study adopted a single-center retrospective study method, collected a large amount of clinical data, and applied statistics and machine learning technology to build and verify an effective prediction model for neuroaggression, with a view to providing scientific basis for clinical treatment decisions and improving the treatment effect and survival rate of patients with gastric cancer. To investigate the value of a model based on clinical data, spectral computed tomography (CT) parameters and image omics characteristics for the preoperative prediction of nerve invasion in patients with gastric cancer. A retrospective analysis was performed on 80 gastric cancer patients who underwent preoperative energy spectrum CT at our hospital between January 2022 and August 2023, these patients were divided into a positive group and a negative group according to their pathological results. Clinicopathological data were collected, the energy spectrum parameters of primary gastric cancer lesions were measured, and single factor analysis was performed. A total of 214 image omics features were extracted from two-phase mixed energy images, and the features were screened by single factor analysis and a support vector machine. The variables with statistically significant differences were included in logistic regression analysis to construct a prediction model, and the performance of the model was evaluated using the subject working characteristic curve. There were statistically significant differences in sex, carbohydrate antigen 199 expression, tumor thickness, Lauren classification and Borrmann classification between the two groups (all P < 0.05). Among the energy spectrum parameters, there were statistically significant differences in the single energy values (CT60-CT110 keV) at the arterial stage between the two groups (all P < 0.05) and statistically significant differences in CT values, iodide group values, standardized iodide group values and single energy values except CT80 keV at the portal vein stage between the two groups (all P < 0.05). The support vector machine model with the largest area under the curve was selected by image omics analysis, and its area under the curve, sensitivity, specificity, accuracy, P value and parameters were 0.843, 0.923, 0.714, 0.925, < 0.001, and c:g 2.64:10.56, respectively. Finally, based on the logistic regression algorithm, a clinical model, an energy spectrum CT model, an imaging model, a clinical + energy spectrum model, a clinical + imaging model, an energy spectrum + imaging model, and a clinical + energy spectrum + imaging model were established, among which the clinical + energy spectrum + imaging model had the best efficacy in diagnosing gastric cancer nerve invasion. The area under the curve, optimal threshold, Youden index, sensitivity and specificity were 0.927 (95%CI: 0.850-1.000), 0.879, 0.778, 0.778, and 1.000, respectively. The combined model based on clinical features, spectral CT parameters and imaging data has good value for the preoperative prediction of gastric cancer neuroinvasion.

Expert Opinions on Uveal Melanoma: Insights from the 58th Ophthalmic Oncology Group Meeting

Introduction Clear evidence for the best clinical management of uveal melanoma is lacking in some areas. Therefore, reports on expert opinions in the field can be valuable. Methods A questionnaire comprising 10 questions was distributed to potential participants of the 58th Ophthalmic Oncology Group Meeting in Stockholm, Sweden, in June 2024. Results Among 34 respondents, 13 (38%) had &amp;gt;20 years of post-residency experience in ophthalmic oncology. The maximum recommended tumor thickness for ruthenium-106 plaque brachytherapy was 5.7 mm (SD 1.1). Twenty-three respondents (68%) indicated that radiological surveillance for metastatic disease should be conducted irrespective of primary tumor characteristics. A majority (74%) would treat a lesion with a 6 mm diameter and 1.5 mm thickness without waiting for evidence of growth if sufficient risk factors were present. Most experts did not currently recommend sampling of circulating tumor DNA (ctDNA) or circulating tumor cells (CTCs). There were no significant differences in responses based on the experience of respondents (≤20 versus &amp;gt;20 years) or their annual volume of new cases (≤50 versus &amp;gt;50). Conclusion This article reports the opinions of 34 experts in ophthalmic oncology on various contemporary topics in uveal melanoma. The responses illustrate both agreements and differences in opinions among experts.

G protein-coupled estrogen receptor 1 and collagen XVII endodomain expression in human cutaneous melanomas: can they serve as prognostic factors?

Melanoma incidence is increasing globally. Although novel therapies have improved the survival of primary melanoma patients over the past decade, the overall survival rate for metastatic melanoma remains low. In addition to traditional prognostic factors such as Breslow thickness, ulceration, and mitotic rate, novel genetic and molecular markers have been investigated. In our study, we analyzed the expression of G-protein coupled estrogen receptor 1 (GPER1) and the endodomain of collagen XVII (COL17) in relation to clinicopathological factors in primary cutaneous melanomas with known lymph node status in both sexes, using immunohistochemistry. We found, that GPER1 expression correlated with favorable clinicopathological factors, including lower Breslow thickness, lower mitotic rate and absence of ulceration. In contrast, COL17 expression was associated with poor prognostic features, such as higher tumor thickness, higher mitotic rate, presence of ulceration and presence of regression. Melanomas positive for both GPER1 and COL17 had significantly lower mean Breslow thickness and mitotic rate compared to cases positive for COL17 only. Our data indicate that GPER1 and COL17 proteins may be of potential prognostic value in primary cutaneous melanomas.

Predicting tumor invasion depth in gastric cancer: developing and validating multivariate models incorporating preoperative IVIM-DWI parameters and MRI morphological characteristics

IntroductionAccurate assessment of the depth of tumor invasion in gastric cancer (GC) is vital for the selection of suitable patients for neoadjuvant chemotherapy (NAC). Current problem is that preoperative differentiation between T1-2 and T3-4 stage cases in GC is always highly challenging for radiologists.MethodsA total of 129 GC patients were divided into training (91 cases) and validation (38 cases) cohorts. Pathology from surgical specimens categorized patients into T1-2 and T3-4 stages. IVIM-DWI and MRI morphological characteristics were evaluated, and a multimodal nomogram was developed. The MRI morphological model, IVIM-DWI model, and combined model were constructed using logistic regression. Their effectiveness was assessed using receiver operating characteristic (ROC) curves, calibration curves, decision curve analysis (DCA), and clinical impact curves (CIC).ResultsThe combined nomogram, integrating preoperative IVIM-DWI parameters (D value) and MRI morphological characteristics (maximum tumor thickness, extra-serosal invasion), achieved the highest area under the curve (AUC) values of 0.901 and 0.883 in the training and validation cohorts, respectively. No significant difference was observed between the AUCs of the IVIM-DWI and MRI morphological models in either cohort (training: 0.796 vs. 0.835, p = 0.593; validation: 0.794 vs. 0.766, p = 0.79).ConclusionThe multimodal nomogram, combining IVIM-DWI parameters and MRI morphological characteristics, emerges as a promising tool for assessing tumor invasion depth in GC, potentially guiding the selection of suitable candidates for neoadjuvant chemotherapy (NAC) treatment.