Tumor Location Research Articles

Optimization of Extended Pelvic Lymph Node Dissection Side for Prostate Cancer.

This study aimed to show the association between tumor location and laterality of positive lymph nodes by evaluating biopsy and magnetic resonance imaging (MRI) findings, and to optimize the extended pelvic lymph node dissection (ePLND) side for prostate cancer. The study enrolled patients who underwent robot-assisted radical prostatectomy with ePLND. Tumor locations were determined according to International Society of Urological Pathology grade group 4/5 in biopsies and Prostate Imaging-Reporting and Data System category 4/5 in MRI results. The concordance of tumor location lobe and positive lymph node side with the performance of tumor location-guided ePLND for positive lymph node detection was evaluated. For 301 patients who underwent ePLND at Kyushu University Hospital, tumor locations determined by biopsy and MRI findings showed no lesion in 8 (2.7%) patients, unilateral lobe in 223 (74.1%) patients, and bilateral lobe in 70 (23.3%) patients. The accuracies for detection of any and all positive lymph nodes by tumor location-guided unilateral ePLND were 99.6% and 97.3%, respectively. Among the patients at St. Luke's International Hospital, the accuracies for detection of any and all positive lymph nodes by tumor location-guided unilateral ePLND were estimated to be 99.0% and 97.3%, respectively. This study proposed tumor location-guided ePLND according to biopsy and MRI findings. This novel strategy is expected to reduce the burden of bilateral ePLND at the cost of acceptable risk of failing to detect positive lymph nodes.

Utility of near-infrared fluorescent clip for the robot-assisted gastrectomy: Report of 2 cases (case series)

Introduction and importanceThe importance of preoperative tumor site marking has increased over the years, as the method of intraoperative primary lesion identification and determination of resection margins is one factor determining whether oncological safety and function-preserving gastrectomy are possible during surgery. We hypothesize that preoperative placement of the near-infrared fluorescent (NIRF) clip, ZEOCLIP FS, near the oral incision line of the gastric tumor will allow for Firefly recognition of the NIRF clip on da Vinci during surgery and easy determination of the tumor location and incision line. Hence, we report on two cases in which the procedure was performed. Case presentationCase 1: A 62-year-old woman was diagnosed with early gastric cancer of 35 mm in size located in the greater curvature of the gastric angle and underwent robot-assisted distal gastrectomy. NIRF clips were placed around the negative biopsy-confirmed area on the tumor's oral side by endoscopy on the day before surgery. The clips were identified intraoperatively in Firefly mode, and we performed gastrectomy without using an intraoperative endoscope. Case 2: A 60-year-old man was diagnosed with early gastric cancer 40 mm in size on the anterior wall of the gastric angle and underwent robot-assisted distal gastrectomy. Similarly, NIRF clips were placed around the site of negative biopsy confirmation the day before surgery. NIRF clips were identified, and we performed gastrectomy. Clinical discussionThe time taken to mark the gastric resection line after activating the Firefly imaging system was 120 and 154 s, respectively, and intraoperative endoscopy was not required. The advantage of our two-step method is that a surgeon can mark the clips the day before the surgery, even if they are not endoscopists. Increasing the recognition rate of fluorescent clips and preventing their remains are future issues. ConclusionBased on the results of the above two cases, ZEOCLIP FS is influential in determining the tumor's location and the resection line.

Prognostic impact and reasons for variability by tumor location in gastric cancer

BACKGROUND Gastric cancer (GC) is a highly prevalent gastrointestinal tract tumor. Several trials have demonstrated that the location of GC can affect patient prognosis. However, the factors determining tumor location remain unclear. AIM To investigate the tumor location of patients, we went on to study the influencing factors that lead to changes in the location of GC. METHODS A retrospective evaluation was carried out on 3287 patients who underwent gastrectomy for GC in Zhejiang Cancer Hospital. The patients were followed up post-diagnosis and post-gastrectomy. The clinicopathological variables and overall survival of the patients were recorded. By analyzing the location of GC, the tumor location was divided into four categories: “Upper”, “middle”, “lower”, and “total”. Statistical software was utilized to analyze the relationship of each variable with the location of GC. RESULTS A total of 3287 patients were included in this study. The clinicopathological indices of gender, age, serum levels of carcinoembryonic antigen (CEA), carbohydrate antigen (CA19-9) and CA72-4 levels, were significantly associated with tumor location in patients with GC. In addition, there was a strong correlation between GC location and the prognosis of postoperative patients. Specifically, patients with “lower” and “middle” GC demonstrated a better prognosis than those with tumors in other categories. CONCLUSION The five clinicopathological indices of gender, age, CEA, CA19-9 and CA72-4 levels exhibit varying degrees of influence on the tumor location. The tumor location correlates with patient prognosis following surgery.

Estrogen-related differences in antitumor immunity and gut microbiome contribute to sexual dimorphism of colorectal cancer.

Colorectal cancer (CRC) is a multifaceted disease whose development and progression varies depending on tumor location, age of patients, infiltration of immune cells within cancer lesions, and the tumor microenvironment. These pathophysiological characteristics are additionally influenced by sex-related differences. The gut microbiome plays a role in initiation and progression of CRC, and shapes anti-tumor immune responses but how responsiveness of the immune system to the intestinal microbiota may contribute to sexual dimorphism of CRC is largely unknown. We studied survival, tumor-infiltrating immune cell populations and tumor-associated microbiome of a cohort of n = 184 male and female CRC patients through high-dimensional single-cell flow cytometry and 16S rRNA gene sequencing. We functionally tested the immune system-microbiome interactions in in-vivo and in-vitro models of the disease. High-dimensional single-cell flow cytometry showed that female patients are enriched by tumor-infiltrating invariant Natural Killer T (iNKT) cells but depleted by cytotoxic T lymphocytes. The enrichment of oral pathobionts and a reduction of β-glucuronidase activity are distinctive traits characterizing the gut microbiome of female patients affected by CRC. Functional assays using a collection of human primary iNKT cell lines demonstrated that the gut microbiota of female patients functionally impairs iNKT cell anti-tumor functions interfering with the granzyme-perforin cytotoxic pathway. Our results highlight a sex-dependent functional relationship between the gut microbiome, estrogen metabolism, and the decline of cytotoxic T cell responses, contributing to the sexual dimorphism observed in CRC patients with relevant implications for precision medicine and the design of targeted therapeutic approaches addressing sex bias in cancer.

Analysis of positive predictors in diagnosing lung cancer on transthoracic and transbronchial procedure

Background: Lung cancer remains the most cause of death due to cancer. Due to high mortality rate of lung cancer, early diagnosis of lung cancer plays a very important role in therapeutic management. Clinical symptoms and tumor characteristics such as size and location are found to vary in lung cancer patients. Various modalities can be used to obtain materials or samples include transthoracic and transbronchial methods. Research was conducted to analyze positive predictors of cancer between transthoracic and transbronchial procedures in lung cancer patients. Methods: This research is an analytical observational study with a cross-sectional design in using secondary data through medical records from January 2022 to December 2023. Univariate analysis presents data in the form of frequency, mean and standard deviation. Bivariate analysis was carried out using chi-square and multivariate analysis using multiple logistic regression. The measure used as a predictor is the adjusted odds ratio. Inference or conclusion is based on the 95% confident interval and p value at the alpha value limit of 0.05. The entire data process above uses SPSS 26.0 statistical software Results: The total research subjects who met the research requirements were 111 patients. The characteristics of the research subjects were symptoms of cough (n=97; 87.4%), hemoptyisis (n=51; 45.9%), breathlessness (n=104; 93.7%) and chest pain (n=87; 78.4%), mostly peripheral tumor (n=70; 63.1%) and size >3 cm (n=103; 92.8%). Logistic regression analysis showed cough symptoms and peripheral tumor location each had an adjOR value of 5.247 (95% CI 1.432-19.552; p=0.013) and adjOR 0.088 (95% CI 0.034-0.229; p=0.000) for lung cancer positivity on transbronchial procedure. On transthoracic procedure, cough symptoms and peripheral tumor location respectively had an adjOR value of 0.190 (95% CI 0.051-0.703; p=0.013) and adjOR 11.407 (95% CI 4.374-29.747; p=0.000) for lung cancer positivity. Conclusions: Cough is a positive predictor of lung cancer in transbronchial procedures. Meanwhile, peripheral tumor location is a positive predictor of lung cancer in transthoracic procedures.

Visualizing the association between the location and prognosis of isocitrate dehydrogenase wild-type glioblastoma: a voxel-wise Cox regression analysis with open-source datasets.

This study examined the correlation between tumor location and prognosis in patients with glioblastoma using magnetic resonance images of various isocitrate dehydrogenase (IDH) wild-type glioblastomas from The Cancer Imaging Archive (TCIA). The relationship between tumor location and prognosis was visualized using voxel-wise Cox regression analysis. Participants with IDH wild-type glioblastoma were selected, and their survival and demographic data and tumor characteristics were collected from TCIA datasets. Post-contrast-enhanced T1-weighted imaging, T2-fluid attenuated inversion recovery imaging, and tumor segmentation data were also compiled. Following affine registration of each image and tumor segmentation region of interest to the MNI standard space, a voxel-wise Cox regression analysis was conducted. This analysis determined the association of the presence or absence of the tumor with the prognosis in each voxel after adjusting for the covariates. The study included 769 participants of 464 men and 305 women (mean age, 63years ± 12 [standard deviation]). The hazard ratio map indicated that tumors in the medial frontobasal region and around the third and fourth ventricles were associated with poorer prognoses, underscoring the challenges of complete resection and treatment accessibility in these areas regardless of the tumor volume. Conversely, tumors located in the right temporal and occipital lobes had favorable prognoses. This study showed an association between tumor location and prognosis. These findings may assist clinicians in developing more precise and effective treatment plans for patients with glioblastoma to improve their management.

Improving Deep Learning Models for Pediatric Low-Grade Glioma Tumours Molecular Subtype Identification Using MRI-based 3D Probability Distributions of Tumour Location.

Purpose: Pediatric low-grade gliomas (pLGG) are the most common brain tumour in children, and the molecular diagnosis of pLGG enables targeted treatment. We use MRI-based Convolutional Neural Networks (CNNs) for molecular subtype identification of pLGG and augment the models using tumour location probability maps. Materials and Methods: MRI FLAIR sequences of 214 patients (110 male, mean age of 8.54 years, 143 BRAF fused and 71 BRAF V600E mutated pLGG tumours) from January 2000 to December 2018 were included in this retrospective REB-approved study. Tumour segmentations (volumes of interest-VOIs) were provided by a pediatric neuroradiology fellow and verified by a pediatric neuroradiologist. Patients were randomly split into development and test sets with an 80/20 ratio. The 3D binary VOI masks for each class in the development set were combined to derive the probability density functions of tumour location. Three pipelines for molecular diagnosis of pLGG were developed: location-based, CNN-based, and hybrid. The experiment was repeated 100 times each with different model initializations and data splits, and the Areas Under the Receiver Operating Characteristic Curve (AUROC) was calculated, and Student's t-test was conducted. Results: The location-based classifier achieved an AUROC of 77.9, 95% confidence interval (CI) (76.8, 79.0). CNN-based classifiers achieved an AUROC of 86.1, 95% CI (85.0, 87.3), while the tumour-location-guided CNNs outperformed the other classifiers with an average AUROC of 88.64, 95% CI (87.6, 89.7), which was statistically significant (P-value .0018). Conclusion: Incorporating tumour location probability maps into CNN models led to significant improvements for molecular subtype identification of pLGG.

Radiomics-based predictive model for preoperative risk classification of gastrointestinal stromal tumors using multiparametric magnetic resonance imaging: aretrospective study.

The aim of this study was to develop and assess aradiomics model utilizing multiparametric magnetic resonance imaging (MRI) for the prediction of preoperative risk assessment in gastrointestinal stromal tumors (GISTs). An analysis was performed retrospectively on agroup of 121 patients who received ahistological diagnosis of GIST. They were then divided into two sets, with85 in the training set and 36 in the validation set through random partitioning. Radiomics features from five MRI sequences, totaling 600 per patient, were extracted and subjected to feature selection utilizing arandom forest algorithm. The discriminatory efficacy of the models was evaluated through receiver operating characteristic (ROC) and precision-recall (P-R) curve analyses. Model calibration was assessed via calibration curves. Subgroup analysis was performed on GISTs with apathological maximum diameter equal to or less than 5 cm. Furtherly, Kaplan-Meier (K-M) curves and log-rank tests were used to compare the differences in survival status among different groups. Cox regression analysis was employed to identify independent prognostic factors and to construct aprognostic prediction model. The clinical model (ModelC) displayed limited predictive efficacy in the context of GIST. Conversely, aradiomics model (ModelR) incorporating five parameters exhibited robust discriminative capabilities across both the training and validation sets, yielding area under the ROC curve (AUC) values of 0.893 (95% confidence interval [CI]: 0.807-0.949) and 0.855 (95% CI: 0.732-0.978), respectively. The F1max scores derived from the P‑R curves were 0.741 and 0.842 for the training and validation sets, respectively. Noteworthy was the exclusion of the two-dimensional tumor diameter and tumor location when constructing ahybrid model (ModelCR) that amalgamated radiomics and clinical features. ModelR demonstrated asubstantially enhanced discriminative capacity in the training set compared with ModelC (p < 0.005). The net reclassification improvement (NRI) corroborated the superior performance of ModelR over ModelC, thereby enhancing diagnostic accuracy and clinical applicability. Patients in the high-risk group had significantly worse recurrence-free survival (RFS, p < 0.001) and overall survival (OS, p = 0.004), and the radiomics signature is an independent risk factor for RFS. The extended model incorporating the radiomics signature outperformed the baseline model in terms of risk assessment accuracy (p < 0.001). Our investigation underscores the value of integrating radiomics analysis in conjunction with machine learning algorithms for prognostic risk stratification in GIST, presenting promising implications for informing clinical decision-making processes as well as optimizing management strategies.

POORLY DIFFERENTIATED CLUSTERS IN COLORECTAL CARCINOMA: ASSOCIATION WITH OTHER HISTOPATHOLOGICAL PROGNOSTIC PARAMETERS INCLUDING TUMOUR BUDDING

Objective: In India, colorectal carcinoma (CRC) ranks third in terms of cancer incidence. Pathologists are essential when it comes to determining the stage, examining surgical margins, and recording the histopathologic prognostic factors. A new prognostic grading system is proposed named poorly differentiated clusters (PDCs), which are defined by neoplastic clusters of 5 cells lacking glandular structure in the invasive front of the stroma. It is significant for cancer-specific and recurrence-free survival in CRC patients, reflecting the biological aggressiveness of the tumor. Aim of the study was to analyse of PDCs in colorectal carcinomas and association with other histopathological prognostic factors. Methods: The Hematoxylin and Eosin (HandE)-stained slides of 76 histopathologically diagnosed CRC resection specimens were reviewed. Poorly differentiated clusters (PDC) were assessed into under 200x power. The correlation of PDC with other histopathological prognostic parameters like tumor size, site, grade, laterality, lymphovascular invasion, perineural invasion, T stage, N stage, and tumor budding was analyzed using descriptive statistics and the Chi-square test with SPSS version 26.0. Results: There was no significant association between PDC and age, tumor location, tumor size, histological grade, LVI, PNI, or lymphnode status. Where a significant association was noted between the sex and PDC grade (P value = 0.035), T stage and PDC grade (P value = 0.045), and N stage and PDC grade is significant (P value = 0.001). Conclusion: PDCs may be considered, along with other clinical-pathological parameters, a promising prognostic factor for the management of patients with CRC and should be included in pathological reports, but it still needs standardization and further validation. At the same time, tumor budding can become an irreplaceable histological indicator for identifying a high malignant potential carcinoma and poor prognosis in CRCS, thus indicating the need for aggressive postoperative management to improve the prognosis of the patient. PDC is important for the survival of CRC patients, indicating the aggressiveness of the tumor both in terms of cancer-specific survival and freedom from recurrence. PDC may help to identify patients who need a more intensive postoperative follow-up and the possibility of adjuvant therapy.

Association between tumor location and toxicity outcomes after stereotactic radiosurgery for brain metastases.

Toxicities associated with stereotactic radiosurgery (SRS) are important when considering treatment and supportive management for patients with brain metastases. We herein assessed the association between brain metastasis location and risk of toxicity after SRS. We conducted a retrospective institutional review of patients treated with SRS for brain metastases between 2008 and 2023. Outcomes included radiation necrosis, seizure, local failure, and overall survival (OS). We reviewed 215 patients treated to 605 metastases (median diameter 10mm, IQR 5-17 mm), in the frontal (34%), cerebellar (19%), parietal (16%), temporal (13%), and occipital (13%) regions. Median follow-up was 16 months (IQR 7-36). New-onset seizures developed in 11% (19/174) of patients without prior seizure and was higher in patients with motor or sensory cortex lesions (12/48, 25%) on multivariate analysis (MVA, P = 0.02). SRS-related grade ≥ 2 symptomatic radionecrosis occurred in 6% (33/605) of lesions and correlated with larger metastasis volume (P < 0.001) and renal cell carcinoma histology (P < 0.05), while supratentorial location was nearly significant (MVA, P = 0.06). Median OS across all patients was 16 months (95% CI 12-20). Patients with symptomatic radiation necrosis had a longer median survival compared to those who did not (43 vs. 14 months, P = 0.002), which remained significant alongside Karnofsky performance status and extracranial disease on MVA. Brain metastasis location in the motor or sensory cortex is associated with increased risk of new-onset seizure following SRS and may warrant consideration of steroid and/or anti-epileptic prophylaxis. Symptomatic radiation necrosis is uncommon in the cerebellum and may be increasing with improvements in survival.

Markerless tracking of tumor and tissues: A motion model approach.

Respiratory motion management is essential in order to achieve high-precision radiotherapy. Markerless motion tracking of tumor can provide a non-invasive way to manage respiratory motion, thereby enhancing treatment accuracy. However, the low contrast in real-time x-ray images for image guidance limits the application of markerless tracking. We present a novel approach based on a motion model to perform markerless tracking of tumor and surrounding tissues even when they have low contrast in real-time x-ray images. A proof-of-concept validation of the method has been performed using digital and physical phantoms at breathing conditions that are significantly different than the planning stage. A motion model is first constructed by performing principal component analysis (PCA) on the planning 4DCT. During treatment, the motion of a surrogate is tracked and used as the input of the motion model, which generates a 3D real-time volume estimation. Such 3D estimation is then projected to 2D to create digitally reconstructed radiographs (DRRs). The relationships between the real-time DRRs, reference DRRs, and reference x-ray images are first established to simulate 2D real-time images from the real-time volume. The registration between the simulated 2D real-time images and real-time x-ray images corrects the initial motion model estimation to ensure the estimated volume matches the real-time condition. In digital phantom, the Dice index of pancreas was improved from 0.74 to 0.78 after correction using real-time DRRs in fully inhaled phase. Validation on lung and pancreas is performed in physical phantom with two motion traces. The surrogate-tumor relationships were intentionally altered to generate large target localization errors due to the differences in body condition between treatment planning stage and during treatment. The real-time correction for the estimated 3D real-time volume was performed using a pair of 2D x-ray images. For the deep breathing motion trace, the tumor localization mean absolute error (MAE) throughout the tracking decreases from around 3mm to less than 1mm after correction. For the shallow breathing motion trace with a 1.7mm baseline shift, the tumor localization MAE throughout the tracking decreases from around 1.5mm to less than 1mm after correction. The method combines the detailed structural information from planning 4DCT and real-time information from real-time x-ray images through a motion model. The matching between the real-time model estimation and 2D real-time images is performed in the same modality so that it can be applied to regions with low contrast in the images. The real-time images successfully corrected the initial motion model estimations in our proof-of-concept validation. This suggests the potential to perform markerless tracking in low-contrast region using a motion model.

RETROSPECTIVE ANALYSIS OF GLIOBLASTOMA OUTCOMES

Background Glioblastoma (GBM) is one of the most aggressive brain cancers, with a median overall survival (OS) of about 15 months. This retrospective study focuses on 144 GBM cases treated over 12 years in our clinic in Romania, analyzing factors affecting progression-free survival (PFS) and OS, including genetic markers and treatment modalities. Methods This study involved patients treated between 2012 and 2024 at the National Institute of Neurology and Neurovascular Diseases in Bucharest. The cohort included 144 patients, with variables such as age, gender, tumor location, IDH mutation status, Karnofsky Performance Status (KPS), and genetic markers (MGMT methylation and EGFR amplification) analyzed. Survival outcomes were evaluated using Kaplan-Meier curves and log-rank tests. Results - Patient Demographics: The cohort included 64 males (44.4%) and 80 females (55.6%) with a mean age of 60.7 years. - Tumor Characteristics: The most common tumor location was the frontal lobe (31.9%), followed by multilobular GBM (26.3%). Right-side tumors were more prevalent (51.3%). - Genetic Markers: MGMT promoter was methylated in 46 patients (31.9%), and EGFR was amplified in 76 patients (52.7%). - Treatment Modalities: 105 patients (72.9%) received chemotherapy with temozolomide (TMZ), and 116 patients (80.5%) underwent radiotherapy. - Survival Outcomes: Median PFS was 5 months, and median OS was 8.5 months. Kaplan-Meier survival curves indicated significantly increased OS in patients with MGMT methylation undergoing chemotherapy (p&lt;0.005) and radiotherapy (p&lt;0.005). Similarly, OS was significantly higher in patients without EGFR amplification receiving chemotherapy (p&lt;0.005) and radiotherapy (p&lt;0.005). Conclusion The study emphasizes the importance of MGMT methylation and EGFR amplification in predicting survival outcomes in GBM patients. Immediate postoperative adjuvant therapy significantly improves PFS and OS. The findings underscore the need for coordinated care and timely access to adjuvant therapies to enhance survival rates in GBM patients. Second surgical interventions also showed a survival benefit, highlighting their potential role as salvage therapy in recurrent GBM cases.

A predictive and prognostic model for metastasis risk and prognostic factors in gastrointestinal signet ring cell carcinoma.

This study aimed to predict metastasis risk and identify prognostic factors of gastrointestinal signet ring cell carcinoma (SRCC) using data from the SEER database, the largest cancer dataset in North America. Data were obtained from the SEER database, covering 17 cancer registries from 2004 to 2020. Demographic and clinical data included sex, age, race, tumor location, size, pathological grade, stage, overall survival time, and treatment modalities. Statistical analyses were conducted using SPSS and R software. Propensity Score Matching (PSM) ensured comparable baseline characteristics between gastric cancer (GC) and colorectal cancer (CRC) groups. LASSO regression analysis identified predictors of metastasis, leading to the construction of predictive models using the lrm function in R. Nomograms were visualized with the "rms" package and assessed via ROC curves, calibration curves, and decision curve analysis (DCA). Cox regression analyses identified prognostic indicators for overall survival (OS), and Kaplan-Meier curves compared OS between high-risk and low-risk groups. From 2004 to 2020, 7680 SRCC patients were identified, including 4980 GC and 2700 CRC patients. CRC patients were older and had larger tumors, higher staging, and worse differentiation. Nomograms demonstrated good discriminative ability, with AUCs of 0.704 and 0.694 for GC, and 0.694 and 0.701 for CRC in training and validation cohorts, respectively. The DCA curve indicates that this predictive model has a high gain in predicting metastasis and OS. The nomograms effectively predicted metastasis risk and OS in metastatic SRCC patients, offering clinical utility in stratifying patients and guiding treatment decisions, thereby enhancing personalized treatment approaches.

Nomograms Predicting Survival, Recurrence and Beneficiary Identification of Adjuvant Chemotherapy in Treatment-naïve Patients with Rectal Cancer who Underwent Upfront Curative Resection: A multi-institutional study

Objective: To create and validate nomograms predicting overall survival and recurrence in treatment-naïve rectal cancer (RC) patients who underwent upfront surgery. Background: Although multidisciplinary treatment is standard for locally advanced RC, understanding surgical efficacy is important for determining indications for perioperative adjuvant therapy. Methods: RC patients who underwent upfront surgery at the Japanese Society for Cancer of the Colon and Rectum institutions were analyzed. A training cohort (n = 1925) of treatment-naïve patients who underwent surgery between 2007 and 2008 was analyzed to construct prognostic models predicting postoperative survival and recurrence. Discrimination and calibration were performed using an external validation cohort (n = 2957; Japanese colorectal cancer registry, procedures in 2005–2006). Effects of adjuvant chemotherapy on survival were evaluated based on nomogram prediction and Surveillance, Epidemiology, and End Results (SEER) data (n = 10,482; upfront surgery for RC in 2010–2015). Results: In the training cohort, age predicted survival, venous invasion predicted recurrence, and sex, tumor location, histological type, preoperative carcinoembryonic antigen, invasion depth, lymphatic invasion, positive radial margin, and numbers of metastatic nodes and examined nodes predicted both. Internal and external validated Harrell’s C-index values were respectively 0.77 and 0.75 for survival and 0.75 and 0.74 for recurrence. RC patients who underwent upfront surgery in the SEER database were stratified into 3 risk levels by nomogram score. Adjuvant chemotherapy did not improve 5-year survival in low-risk patients, but did so for middle-risk (62.4% vs 76.8%) and high-risk (39.4% vs 63.5%) patients. Conclusion: These nomograms could predict survival and recurrence after upfront curative resection of RC and identify cases expected to benefit more from adjuvant chemotherapy.

Performance of an AI-powered visualization software platform for precision surgery in breast cancer patients.

Surgery remains the primary treatment modality in the management of early-stage invasive breast cancer. Artificial intelligence (AI)-powered visualization platforms offer the compelling potential to aid surgeons in evaluating the tumor's location and morphology within the breast and accordingly optimize their surgical approach. We sought to validate an AI platform that employs dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) to render three-dimensional (3D) representations of the tumor and 5 additional chest tissues, offering clear visualizations as well as functionalities for quantifying tumor morphology, tumor-to-landmark structure distances, excision volumes, and approximate surgical margins. This retrospective study assessed the visualization platform's performance on 100 cases with ground-truth labels vetted by 2 breast-specialized radiologists. We assessed features including automatic AI-generated clinical metrics (e.g., tumor dimensions) as well as visualization tools including convex hulls at desired margins around the tumor to help visualize lumpectomy volume. The statistical performance of the platform's automated features was robust and within the range of inter-radiologist variability. These detailed 3D tumor and surrounding multi-tissue depictions offer both qualitative and quantitative comprehension of cancer topology and may aid in formulating an optimal surgical approach for breast cancer treatment. We further establish the framework for broader data integration into the platform to enhance precision cancer care.

Designing Quasi-Intrinsic Photosensitizers with Dual Function of Fluorescence Imaging and Photodynamic Therapy.

Photosensitizers (PSs) with effective two-photon absorption in the therapeutic window are the key to two-photon photodynamic therapy. However, the traditional exogenous PSs usually lead to rejection in the body. Besides, the precise visualization of treatments proposes new demands and challenges for the design of PSs. Accordingly, in this work, a series of quasi-intrinsic PSs are obtained based on the artificial base 2-amino-8-(1'-β-d-2'-deoxyribofuranosyl)-imidazo[1,2-α]-1,3,5-triazin-4(8H)-one (P). The calculations show that the structural modification could enhance the two-photon absorption and fluorescence emission, which is beneficial for tumor localization. Furthermore, the reduced singlet-triplet energy gaps and enhanced spin-orbit coupling contribute to the rapid intersystem crossing process, which results in a triplet state with high quantum yields. To ensure the phototherapeutic performance of the newly designed PSs, we also examined the vertical electron affinity and vertical ionization potential for generation of superoxide anions, as well as the T1 energy required to produce singlet oxygen.

Design and Development of a Quad mode Circular Millimeter-Wave Patch Antenna for Breast Tumour Size Detection and Localization

In this study, we present the development of an antenna based on millimeter-wave specifically designed for performance in breast tumour detection and localization. A quad – mode circular microstrip antenna is engineered to function at millimeter-wave frequencies of 30 GHz and 40 GHz, focusing on accurate tumor size &amp; location. At 30 GHz and 40 GHz, facilitating effective penetration through breast tissue and enabling precise tumor localization. The differential dielectric characteristics of malignant and normal breast tissues provide the basis for the detection of breast cancers using mm-wave imaging. Using quarter mode circular patch antennas, this method sends and receives pulses that travel through the breast at various points. The tumor's location and size are then determined by receiving the waves from the breast. Due to their strong scattering properties, malignant tumors can be identified by their transfer characteristics in the reflected signals they receive. The study also looks at how the tumor's size and location in relation to the antenna affect detection efficiency. These results suggest that mm wave planar antennas are useful for locating and detecting tiny breast cancers, offering a viable method for breast cancer detection.

OGC SO21 - Role of Staging Laparoscopy on oesophageal and junctional cancer management

Abstract Background Staging laparoscopy and peritoneal cytology is currently recommended as a staging tool required for oesophageal and gastro-oesophageal junction (OGJ) adenocarcinomas. However, evidence is variable regarding the utility of this investigation, leading to heterogenous practice in the UK. With improved staging sensitivity of CT and PET imaging and inclusion of routine MDT discussion for upper GI cancer patients, staging laparoscopy may not be necessary for all patients with oesophago-gastric cancer, and in fact may delay their treatment. We thus aimed to assess the impact of staging laparoscopy on the treatment algorithm of patients with oesophago-gastric cancer. Method All staging laparoscopies undertaken between January 2022 and March 2024 were identified from our surgical database. Patients were included if they had oesophago-gastric adenocarcinoma, with a plan for curative treatment. Data collected included age, gender, location of primary tumour, CT/PET staging, laparoscopy findings, impact on treatment intention, neoadjuvant treatment, and final histology. Primary outcome was incidence of positive microscopic or macroscopic peritoneal disease for oesophageal and OGJ malignancy. Results 127 patients were identified - 69 (55%) oesophageal, 25 (20%) GOJ, and 32 (24.4%) gastric cancer. 1/70 (1.4%) patient diagnosed endoscopically with oesophageal cancer had positive peritoneal disease, which was suspected due to pre-operative imaging findings of ascites and suspicions of linitis plastica. Of patients diagnosed with GOJ cancer, 4/25 patients (16%) had peritoneal disease present. None of the 39 patients with oesophageal/junctional tumours with clinical T1-2 disease were found to have peritoneal disease on staging laparoscopy. 6/32 (19%) patients with gastric cancer were found to have unexpected peritoneal disease present. Conclusion This study found minimal impact staging laparoscopy has on the management of primary oesophageal cancers. Consideration can be made of limiting staging in oesophageal cancer to patients with suspicious findings on CT/PET imaging. For GOJ tumours, there may be a role for limiting staging laparoscopy for Siewert 1 tumours to T3/4 tumours based on CT/PET findings. Importantly, accurate identification on primary endoscopy of the location of the tumour in relation to the gastro-oesophageal junction is necessary to help guide ongoing management.

MS O02 - OGC An audit of waiting times of the oesophagogastric cancer diagnostic pathway at a high-volume, tertiary centre

Abstract Background The oesophagogastric cancer (OGC) staging pathway is extensive, contributing to prolonged waiting times from referral to treatment. NHS England guidance details the ideal timeframe from referral to finalisation of the patient’s treatment plan and stipulates a time of 21 days from OGD to communication of the treatment plan to the patient. This audit aims to compare pathway times at a tertiary cancer centre, which accepts referrals from seven different hospitals, to the current NHS target and further stratify pathway times according to patient characteristics and referring hospitals. Method Data was collected using a prospectively collected database of OGC patients who underwent staging investigations at the tertiary centre between October 2022 and October 2023. The primary outcome was OGD to communication of the treatment plan. Secondary outcomes included time from OGD to first staging investigation and the proportion of patients that had a next-day computed tomography (CT) scan. Outcomes were stratified to investigate inter-hospital variation and the effect of curative status and tumour location. Data was expressed as median and interquartile range (IQR) for continuous data or n (%) if categorical. Results 263 patients were included in this audit with a median age of 69.0 (IQR 61.5-77.0). 13.8% of patients satisfied the target time of 21 days from OGD to communication of treatment plan. Curative patients had a longer median pathway time than palliative patients (49.0 vs 35.0 days), whereas oesophageal and gastric cancer patients had similar pathway times (44.0 vs 44.5 days). Patients diagnosed at the tertiary centre had a faster time from OGD to first staging investigation than patients diagnosed at non-specialist centres. Only 13.3% of patients had a next-day CT scan following their OGD (median time 5.0 days). Conclusion The OGC staging pathway is considerably slower than the target. Faster pathway times in palliative patients can be attributed to many of these patients not requiring further staging post-CT. Potentially, targets should be re-evaluated to distinguish between palliative and curative patients. The faster staging process at the central hospital may be explained by more regular clinics run by specialist clinicians and the prompt requesting of staging investigations without awaiting MDT discussions. Alongside increasing the proportion of next-day CT scans, these factors must be addressed to streamline the entire pathway.

Infantile Sinonasal Tract Myxomas with Orbital Involvement: Presentation of Two Cases and Comprehensive Literature Review

Objective: Our aim is to present two cases of infantile sinonasal tract myxoma with orbital involvement and conduct a comprehensive literature review of the topic. We aim to provide a summary of the presentation of infantile sinonasal tract myxomas to effectively aid clinicians in considering this rare entity as a potential diagnosis. Methods: We present a case series and a retrospective review of the published literature in the English language. A search was conducted between 1945 and 2023 on sinonasal myxoma. Cases of infantile (&lt;3 years) sinonasal myxoma in the literature were reported as well as two cases of our own. Data was collected from each of the identified articles on the age of presentation, sex, initial presentation, tumor location, imaging, pathology, and treatment. Results: Forty-eight cases of sinonasal myxoma in children &lt;3 years of age were identified. These cases had a slight male preponderance (F:M, 1:1.39) and an average age of diagnosis of sixteen months. Of the cases included, the majority involved the maxilla and maxillary sinuses (83.3%) and commonly presented with a painless slow-growing mass in the region of the tumor. Characteristic CT findings are homogenous solid masses with heterogeneous contrast enhancement. On MRI, these lesions appear hypointense on T1 with highly variable contrast enhancement and hyperintense on T2. Conclusions: We present two cases of infantile sinonasal myxoma with secondary orbital involvement followed by a major review. Treatment of these cases with surgical excision (confirmed clear margins) provided 0% rates of recurrence in the reported cases. Due to the rarity of these tumors and recent histological reclassification, a comprehensive review of this condition will assist clinicians in their management of it.