Stage T1 Research Articles

Impact ofCOVID-19 Pandemic on the Clinical and Pathologic Characteristics ofColorectal Cancer: A Retrospective Multicenter Study in South Korea.

The COVID-19 pandemic has influenced various aspects of colorectal cancer (CRC) patient care, including diagnosis, treatment, and outcomes. This study assesses the pandemic's impact on CRC patients. We performed a retrospective analysis of medical records for CRC patients who underwent surgery at five hospitals affiliated with Hallym University from January 2017 to December 2022. Patients were divided into two groups: the pre-COVID group (2017-2019) and the COVID group (2020-2022). Among 2038 patients, 987 (48.4%) were in the pre-COVID group, and 1051 (51.6%) were in the COVID group. The COVID group had more patients with two or more comorbidities (P < 0.001) and a higher incidence of rectal cancer (P = 0.010). While the rates of laparoscopic surgeries were similar, the COVID group had increased emergency surgeries (P = 0.005) and diversion procedures (P = 0.002). Additionally, the COVID group faced more overall complications (P < 0.001) and severe complications (Grade III-V, P = 0.004). There was a rise in lymphovascular invasion (P < 0.001) and T4 stage tumors (P < 0.001) within the COVID group. Despite these differences, both groups had similar 2-year overall survival rates (P = 0.409). Although patients treated during the COVID period experienced more frequent stoma formation, complications, and adverse prognostic factors, there were no differences in short-term oncologic outcomes, which was likely due to the follow-up period being insufficient to detect differences in OS.

Radiomics machine learning algorithm facilitates detection of small pancreatic neuroendocrine tumors on CT

PurposeThe purpose of this study was to develop a radiomics-based algorithm to identify small pancreatic neuroendocrine tumors (PanNETs) on CT and evaluate its robustness across manual and automated segmentations, exploring the feasibility of automated screening. Materials and methodsPatients with pathologically confirmed T1 stage PanNETs and healthy controls undergoing dual-phase CT imaging were retrospectively identified. Manual segmentation of pancreas and tumors was performed, then automated pancreatic segmentations were generated using a pretrained neural network. A total of 1223 radiomics features were independently extracted from both segmentation volumes, in the arterial and venous phases separately. Ten final features were selected to train classifiers to identify PanNETs and controls. The cohort was divided into training and testing sets, and performance of classifiers was assessed using area under the receiver operator characteristic curve (AUC), specificity and sensitivity, and compared against two radiologists blinded to the diagnoses. ResultsA total of 135 patients with 142 PanNETs, and 135 healthy controls were included. There were 168 women and 102 men, with a mean age of 55.4 ± 11.6 (standard deviation) years (range: 20–85 years). Median PanNET size was 1.3 cm (Q1, 1.0; Q3, 1.5; range: 0.5–1.9). The arterial phase LightGBM model achieved the best performance in the test set, with 90 % sensitivity (95 % confidence interval [CI]: 80–98), 76 % specificity (95 % CI: 62–88) and an AUC of 0.87 (95 % CI: 0.79–0.94). Using features from the automated segmentations, this model achieved an AUC of 0.86 (95 % CI: 0.79–0.93). In comparison, the two radiologists achieved a mean 50 % sensitivity and 100 % specificity using arterial phase CT images. ConclusionRadiomics features identify small PanNETs, with stable performance when extracted using automated segmentations. These models demonstrate high sensitivity, complementing the high specificity of radiologists, and could serve as opportunistic screeners.

Endoscopic Resection of Stage T1 Colorectal Adenocarcinoma Followed by Surgical Intervention: a Single-center Retrospective Study

BackgroundDomestic and international guidelines recommend endoscopic resection for stage T1 colorectal adenocarcinoma with indications. However, completion surgery remains imperative for patients exhibiting high-risk factors subsequent to endoscopic procedures.ObjectiveTo investigate the evidence, pathological features, and surgical outcomes of completion surgery in patients with T1 colorectal adenocarcinoma following endoscopic resection.MethodsWe retrospectively collect data on the clinical features and treatment outcomes of patients with stage T1 colorectal adenocarcinoma who underwent endoscopic resection followed by surgical resection and those who initially completed surgical intervention at Peking University International Hospital between January 2019 and October 2022, with the aim of assessing the necessity and feasibility of surgical intervention.ResultsSeventeen patients (Group A) with high-risk factors following endoscopic procedure, especially with deep submucosal invasion and vascular or lymphatic invasion, experienced further surgical resection. The median interval between endoscopic resection and completion surgery was 23.71 days ± 15.89. Sixteen patients (Group B) underwent radical resection without any prior interventions. The surgical approach involves integration of laparoscopy and colonoscopy for precise localization and quantitative diagnosis, followed by radical surgery. The two groups demonstrated significant differences statistically with reference to tumor diameter (1.65 cm ± 0.77 vs 3.36 cm ± 1.39, P = 0.000) and the attainment of standard lymph node count (cases of detected lymph nodes larger than or equal to 12, 5 vs 12, P = 0.015). Postoperative complications and hospital stay manifested no significant disparity statistically in two groups. Patients who underwent completion surgery had no inferior outcomes compared with those who underwent direct surgery in terms of 5-year disease-free survival (Log rank test: P = 0.083, Breslow test: P = 0.089). The two groups also exhibited no significant differences statistically in the context of overall survival (Log rank test: P = 0.652, Breslow test: P = 0.758).ConclusionCompletion surgery is a safe and feasible treatment option for T1 colorectal adenocarcinoma patients with high-risk factors, particularly those with deep submucosal invasion and vascular or lymphatic invasion following endoscopic treatment. Furthermore, subsequent treatment should be chosen based on a comprehensive analysis of the patient’s history of abdominal surgery, willingness, and pathological features.

LungPath: artificial intelligence-driven histologic pattern recognition for improved diagnosis of early-stage invasive lung adenocarcinoma.

Early-stage invasive lung adenocarcinoma (ADC) characterized by a predominant micropapillary or solid pattern exhibit an elevated risk of recurrence following sub-lobar resection, thus determining histological subtype of early-stage invasive ADC prior surgery is important for formulating lobectomy or sub-lobar resection. This study aims to develop a deep learning algorithm and assess its clinical capability in distinguishing high-risk or low-risk histologic patterns in early-stage invasive ADC based on preoperative computed tomography (CT) scans. Two retrospective cohorts were included: development cohort 1 and external test cohort 2, comprising patients diagnosed with T1 stage invasive ADC. Electronic medical records and CT scans of all patients were documented. Patients were stratified into two risk groups. High-risk group: comprising cases with a micropapillary component ≥5% or a predominant solid pattern. Low-risk group: encompassing cases with a micropapillary component <5% and an absence of a predominant solid pattern. The overall segmentation model was modified based on Mask Region-based Convolutional Neural Network (Mask-RCNN), and Residual Network 50 (ResNet50)_3D was employed for image classification. A total of 432 patients participated in this study, with 385 cases in cohort 1 and 47 cases in cohort 2. The fine-outline results produced by the auto-segmentation model exhibited a high level of agreement with manual segmentation by human experts, yielding a mean dice coefficient of 0.86 [95% confidence interval (CI): 0.85-0.87] in cohort 1 and 0.84 (95% CI: 0.82-0.85) in cohort 2. Furthermore, the deep learning model effectively differentiated the high-risk group from the low-risk group, achieving an area under the curve (AUC) of 0.89 (95% CI: 0.88-0.90) in cohort 1. In the external validation conducted in cohort 2, the deep learning model displayed an AUC of 0.87 (95% CI: 0.84-0.88) in distinguishing the high-risk group from the low-risk group. The average diagnostic time was 16.00±3.2 seconds, with an accuracy of 0.82 (95% CI: 0.81-0.83). We have developed a deep learning algorithm, LungPath, for the automated segmentation of pulmonary nodules and prediction of high-risk histological patterns in early-stage lung ADC based on CT scans.

Progressive melting of surface water and unequal discharge of different DOM components profoundly perturb soil biochemical cycling

Freeze-thaw (FT) events profoundly perturb the biochemical processes of soil and water in mid- and high-latitude regions, especially the riparian zones that are often recognized as the hotspots of soil-water interactions and thus one of the most sensitive ecosystems to future climate change. However, it remains largely unknown how the heterogeneously composed and progressively discharged meltwater affect the biochemical cycling of the neighbor soil. In this study, stream water from a valley in the Chinese Loess Plateau was frozen at –10°C for 12 hours, and the meltwater (at +10°C) progressively discharged at three stages (T1 ∼ T3) was respectively added to rewet the soil collected from the same stream bed (Soil+T1 ∼ Soil+T3). Our results show that: (1) Approximately 65% of the total dissolved organic carbon and 53% of the total NO3--N were preferentially discharged at the first stage T1, with enrichment ratios of 1.60 ∼ 1.94. (2) The dissolved organic matter discharged at T1 was noticeably more biodegradable with significantly lower SUVA254 but higher HIX, and also predominated with humic-like, dissolved microbial metabolite-like, and fulvic acid-like components. (3) After added to the soil, the meltwater discharged at T1 (e.g., Soil+T1) significantly accelerated the mineralization of soil organic carbon with 2.4 ∼ 8.07-folded k factor after fitted into the first-order kinetics equation, triggering 125 ∼ 152% more total CO2 emissions. Adding T1 also promoted significantly more accumulation of soil microbial biomass carbon after 15 days of incubation, especially on the FT soil. Overall, the preferential discharge of the nutrient-enriched meltwater with more biodegradable DOM components at the initial melting stage significantly promoted the microbial growth and respiratory activities in the recipient soil, and triggered sizable CO2 emission pulses. This reveals a common but long-ignored phenomenon in cold riparian zones, where progressive freeze-thaw can partition and thus shift the DOM compositions in stream water over melting time, and in turn profoundly perturb the biochemical cycles of the neighbor soil body.

Association between tumor size and prognosis in patients with small bowel adenocarcinoma-a SEER-based study

BackgroundThe association between small-bowel adenocarcinoma (SBA) tumor size and prognosis is unclear, and we used the Surveillance, Epidemiology, and End Results (SEER) database to assess the prognostic value of SBA tumor size. MethodsPatients with postoperative SBA were selected from the SEER database, and overall survival (OS) and cancer-specific survival (CSS) were used as outcome variables. Tumor size was used as a categorical and continuous variable, respectively, to adjust for confounders and analyze the association between SBA tumor size and prognosis using Cox proportional hazard regression, and the results were visualized using restricted cubic splines (RCS). Spearman correlation coefficient was used to evaluate the statistical correlation between tumor size and tumor invasion depth (T-stage). Kaplan-Meier survival curves were used to estimate OS at different T stages. ResultsWhen the tumor size was analyzed as a quantitative variable, the adjusted covariate model showed that the HR was 1.008 (P = 0.04) for OS and 1.021 (P = 0.03) for CSS. And regardless of OS or CSS, when the tumor size < 3–4 cm, there was a close linear relationship between tumor size and HR. What's more, in the SEER database, the 5-year survival rates of T1, T2, T3 and T4 patients were 81.8 %, 81.1 %, 66.0 % and 50.9 % (P < 0.001) according to AJCC T-stage. However, in the modified T-stage (mT), these rates were 82.8 %, 70.6 %, 60.7 % and 39.8 % (P < 0.001). When patients within each of the AJCC T stages were stratified by mT stages, significant survival heterogeneity was observed within each of the AJCC T1 to T4 stages(P < 0.001). ConclusionWhen tumor size is used in a quantitative way, tumor size is an independent predictor of poor outcome in patients with SBA. Furthermore, we established a modified T-stage based on tumor size and depth of invasion.

Sentinel Lymph Node Biopsy Evaluation in Early Stage T1, T2, N0, Squamous Cell Carcinoma of the Oral Cavity with Methylene Blue Dye

Sentinel Lymph Node Biopsy Evaluation in Early Stage T1, T2, N0, Squamous Cell Carcinoma of the Oral Cavity with Methylene Blue Dye

Lymph node dissection does not affect the survival of patients with tumor node metastasis stages I and II colorectal cancer.

The effect of the number of lymph node dissections (LNDs) during radical resection for colorectal cancer (CRC) on overall survival (OS) remains controversial. To investigate the association between the number of LNDs and OS in patients with tumor node metastasis (TNM) stage I-II CRC undergoing radical resection. Patients who underwent radical resection for CRC at a single-center hospital between January 2011 and December 2021 were retrospectively analyzed. Cox regression analyses were performed to identify the independent predictors of OS at different T stages. A total of 2850 patients who underwent laparoscopic radical resection for CRC were enrolled. At stage T1, age [P < 0.01, hazard ratio (HR) = 1.075, 95% confidence interval (CI): 1.019-1.134] and tumour size (P = 0.021, HR = 3.635, 95%CI: 1.210-10.917) were independent risk factors for OS. At stage T2, age (P < 0.01, HR = 1.064, 95%CI: 1.032-1.098) and overall complications (P = 0.012, HR = 2.297, 95%CI: 1.200-4.397) were independent risk factors for OS. At stage T3, only age (P < 0.01, HR = 1.047, 95%CI: 1.027-1.066) was an independent risk factor for OS. At stage T4, age (P < 0.01, HR = 1.057, 95%CI: 1.039-1.075) and body mass index (P = 0. 034, HR = 0.941, 95%CI: 0.890-0.995) were independent risk factors for OS. However, there was no association between LNDs and OS in stages I and II. The number of LDNs did not affect the survival of patients with TNM stages I and II CRC. Therefore, insufficient LNDs should not be a cause for alarm during the surgery.

Identification of candidate biomarkers and prognostic analysis of recurrence in colorectal cancer.

Colorectal cancer (CRC) is one of the most common digestive tract malignant tumors, which has a high mortality rate especially for patients with CRC recurrence. However, the pathological mechanism of recurrence of CRC is unclear. In this study, we integrated multiple cohort datasets and databases to clarify and verify potential key candidate biomarkers and signal transduction pathways in recurrence of CRC. As results, 628 DEGs were identified from GSE33113 and GSE2630 datasets and their function and pathway were analyzed. 14 hub genes related to CRC recurrence were screened from and their influence on survival were analyzed. Two key genes (IL1B and DDAH1) regarded as prognostic factors were further screened. Relapse-free survival results indicated the interaction between IL1B and DDAH1 genes and B cells was the most obvious and correlated with survival, with statistical significance (P< 0.05). Specially, cox regression analysis suggested that patients with T1 and N0 stages had a higher risk of recurrence than patients with T2 and N1. This work would provide potential value for prognosis, and would promote molecular targeting therapy for CRC recurrence.

A novel nomogram based on inflammatory-nutritional biomarkers for gallbladder cancer after surgical resection

PurposeSystemic inflammation and nutrition are vital for tumor progression. This study aimed to identify prognostic inflammation nutrition markers and develop a predictive nomogram for gallbladder cancer (GBC).MethodsA total of 123 patients with GBC who underwent surgical resection at the First Affiliated Hospital of Soochow University and Suzhou Kowloon Hospital were included in our study. The final prognostic variables were identified using univariate and multivariate analyses. A nomogram model was then established, and the consistency index (C-index), calibration curves, and Kaplan–Meier analysis were performed to evaluate the accuracy and discrimination of the nomogram. The area under the receiver operating characteristic curve (AUC) and decision curve analysis (DCA) suggested that our nomogram had better predictive ability and clinical feasibility than a published model.ResultsThe cox regression analysis showed that carcinoembryonic antigen (CEA) > 4.580, albumin-bilirubin (ALBI) > –2.091, geriatric nutritional risk index (GNRI) < 90.83, T3–T4, and N2 are independent prognostic factors. A predictive nomogram was constructed with a C-index of 0.793. In the calibration curves, the nomogram-predicted 1-, 3-, and 5-year survival matched well with the actual survival. Kaplan–Meier analysis showed that the high-risk group had worse survival than the low-risk group (P < 0.001). Finally, our nomogram achieved better 1-, 3- and 5-year AUCs than an established model (0.871, 0.844, and 0.781 vs. 0.753, 0.750, and 0.693). DCA also confirmed that our model outperformed the established model.ConclusionsIn conclusion, our study revealed that CEA > 4.580, GNRI < 90.83, ALBI > –2.091, T3–T4 stage, and N2 were related to clinical outcomes of patients with GBC after surgical resection. The constructed nomogram has superior predictive ability and clinical practicality.

The potential modulation mechanisms of Dmrt-1 and Dmrt-3 affecting testicular development of Scylla paramamosain

The Dmrt gene family, with conserved functions throughout evolution, contains DM domains that play roles in various physiological processes like sex determination and gonadal differentiation. The mud crab (Scylla paramamosain), a significant marine culture crab in China, exhibits sexual dimorphism and is an important subject for reproduction research. In this study, the ORFs of the SpDmrt-1 and SpDmrt-3 genes from the mud crab gonad transcriptome database were obtained and confirmed by PCR. Both genes were expressed at the highest level in the testis among various tissues and in the T2 stage testis during different gonad developmental stages. In situ hybridization results showed that both genes were expressed during spermatogenesis. Silencing one gene led to a decrease in the expression of the other. Moreover, the expressions of some gonadal development-related genes (dsx, foxl-2, vasa, Dmrt-like, and IAG) changed significantly. Transcriptomic data indicated that SpDmrt-1 and SpDmrt-3 regulate various signaling pathways, including the Notch signaling pathway, the MAPK signaling pathway, the Hippo signaling pathway, the Calcium signaling pathway, and several other gender-related pathways, showing their involvement in male mud crab development. Furthermore, after long-term interference with SpDmrt-1 in vitro, most cells in the testis of the mud crab were at the spermatid stage, only a small amount of spermatozoa could be observed, and obvious empty plaque-like areas appeared in the tissue. Our findings provided a crucial foundation for understanding the role of the Dmrt in the process of gonadal development in crustaceans.

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.

Clinical characteristics and prognosis of non-high-risk patients with incidental stage T1 lung cancer: A prospective cohort study

ObjectivesThere is currently no evidence documenting the clinical characteristics and prognosis of non-high-risk patients with incidental stage T1 lung cancer (LC). The aim of this study was to investigate the clinical characteristics and prognosis of non-high-risk patients with incidental stage T1 LC.MethodsThis prospective cohort study included patients with incidental stage T1 LC who were diagnosed pathologically at the First Affiliated Hospital of Chongqing Medical University between 1st Jan 2019 and 31st Dec 2023. The follow-up time for all participants concluded on 31st Jan 2024, or upon death. All included patients were divided into non-high-risk (observation) and high-risk (control) groups based on the 2021 US preventative services task force recommendations. The primary outcomes were overall survival probability and LC-specific survival probability. The secondary outcomes were clinical characteristics, including demographic variables, histological types and TNM staging.ResultsWe studied 1876 patients with incidental stage T1 LC. Of these, 1491 (79.48%) non-high-risk patients were included in the observation group, and the remaining 385 (20.52%) high-risk patients composed the control group. The follow-up interval was between 0 and 248 months for all participants, with a median time of 41.64 ± 23.85 months. The patients in the observation group were younger and had smaller tumors, more adenocarcinomas, and earlier disease stages than those in the control group (p ≤ 0.001). The overall survival probability (HR = 0.23, [95% CI: 0.18, 0.31], p < 0.001) and the LC-specific survival probability (HR = 0.23, [95% CI: 0.17, 0.31], p < 0.001) for the patients in the observation group were also both higher than those in the control group. The results appeared to be consistent across important subgroups.ConclusionIn this study, non-high-risk patients with incidental stage T1 LC were younger, had smaller tumors, had more adenocarcinomas, had a lower probability of metastasis, and had longer survival than did high-risk patients.

De-escalation of neoadjuvant taxane and carboplatin therapy in HER2-positive breast cancer with dual HER2 blockade: a multicenter real-world experience in China

BackgroundTCbHP (taxane + carboplatin + trastuzumab + pertuzumab) is the preferred neoadjuvant therapy regimen for human epidermal growth factor receptor 2 (HER2)-positive breast cancer. However, no consensus exists regarding whether specific populations may be exempt from carboplatin, allowing for de-escalation to the THP (taxane + trastuzumab + pertuzumab) regimen. Additionally, the optimal number of cycles for neoadjuvant THP remains unclear. We compared the efficacy and safety of neoadjuvant TCbHP and THP regimens, providing clinicians with a nuanced perspective to guide their treatment regimen selection.MethodsThis multicenter real-world study included patients with HER2-positive breast cancer undergoing neoadjuvant TCbHP or THP between March 2019 and February 2023. Efficacy was assessed through the pathological complete response (pCR) rate, while safety was evaluated through monitoring adverse events.ResultsAmong 220 patients, 103 received 6 cycles of TCbHP (TCbHP×6), 83 received 6 cycles of THP (THP×6), and 34 received 4 cycles of THP (THP×4). The TCbHP×6 cohort exhibited a 66% pCR rate compared with 53% in the THP×6 cohort (P = 0.072). Subgroup analysis revealed that in patients aged ≤ 50 years, those with hormone receptor (HR)-negative status, and those with clinical stage T2, the pCR rate of the TCbHP×6 regimen was significantly higher than the THP×6 regimen (P < 0.05). The TCbHP×6 cohort reported higher frequencies of any-grade adverse events (99% versus 86.7%) and grade 3–4 events (49.5% versus 12%) than the THP×6 cohort. Propensity score matching identified 27 patient pairs between the THP×6 and THP×4 cohorts, indicating a significantly higher pCR rate for the THP×6 regimen than the THP×4 regimen (63% versus 29.6%, P = 0.029).ConclusionsThe TCbHP×6 regimen is favored for individuals aged ≤ 50 years and those aged > 50, ≤60 years with HR-negative status or clinical stage T2-4. For patients in compromised general condition or lacking the specified indications, the THP×6 regimen emerges as a lower-toxicity alternative with satisfactory efficacy. To ensure treatment efficacy, a minimum of 6 cycles of neoadjuvant THP is required.

Proposal for standardization of laparoscopic D3 lymphadenectomy for right colon cancer.

This study presents a laparoscopic surgical protocol for right hemicolectomy and D3 lymphadenectomy (R-D3L) in right colon cancer and reports the oncological outcomes based on a prospective series. The study comprises two phases. In the first phase, a dynamic demonstration of the R-D3L surgical protocol is provided through textual explanation, illustrations, and edited surgical videos. The protocol emphasizes technical steps such as dissection of the embryological plane of the right mesocolon, high tie of ileocolic vessels, surgical trunk of Gillot dissection, and high tie of superior right colic vein (SRCV). In the second phase, a prospective observational study was conducted involving patients undergoing R-D3L surgery with this protocol between July 2015 and July 2021. Demographic, perioperative, and postoperative variables are analyzed, along with anatomopathological variables and oncological outcomes. A total of 33 patients were analyzed. Median operative time was 202min. Perioperative bleeding occurred in 6%. Postoperative complications were mild (Clavien-DindoIII in 2%). Postoperative ileus was observed in 15%. No anastomotic dehiscence was reported. The median postoperative stay was 7days. The median number of resected lymph nodes was 26, with 27% having positive nodes and 70% were classified as stage T3 or T4. After a median follow-up of 45months, local recurrence, distant recurrence, and carcinomatosis rates were 0%. Mortality rate from other causes was 9%. The surgical protocol shown in the present study could help in the implementation of this technique in those units that consider it appropriate.

Short-term Outcome of RPVBT Combined with Chemotherapy for Patients with Single, < 3 cm, T2 Stage Bladder cancer

BackgroundTo investigate the survival outcome of “radical” GreenLight photoselective vaporization of bladder tumor (RPVBT) in conjunction with postoperative chemotherapy for patients with single, < 3 cm in diameter, T2 stage muscle invasive bladder cancer (MIBC).MethodsThirty-eight patients with single, < 3 cm, T2 stage bladder cancer were treated with RPVBT combined with chemotherapy and were included in the RPVBT group. To compare the differences in survival outcome, 80 patients with Ta/T1 bladder cancer and 30 patients with T2 bladder cancer were included as controls. The 80 patients with Ta/T1 bladder cancer underwent GreenLight photoselective vaporization of bladder tumors(PVBT), while 30 patients with T2 bladder cancer underwent radical cystectomy (RC) combined with pelvic lymph node dissection (PLND). Tumor recurrence and death were recorded, and recurrence-free survival (RFS) and overall survival (OS) curves were plotted to compare the survival difference between the RPVBT and control groups.ResultsNo significant differences were observed in comorbidities or living habits between the RPVBT and control groups. Blood loss [RPVBT: 20 (IQR10, 20) vs. RC: 100 (IQR90, 150) mL] and postoperative hospital stay [RPVBT: 5.5 (IQR5, 6), vs. RC: 10 (IQR8, 12) days] in the RPVBT group were significantly lower than that in the RC group. Urinary tract infection [RPVBT: 6 (15.8%) vs. PVBT: 14 (17.5%)] and bladder irritation sign [RPVBT: 11 (28.9%) vs. PVBT: 23 (28.8%) ] were the most common short-term complications in the RPVBT group, with no statistical difference between the RPVBT and PVBT group. The median follow-up time for survival endpoints was 22 (16, 27) months for the included patients after surgery. The outcomes of tumor recurrence at 12, 24, and 36 months were 2 (5.3%), 3 (7.9%), and 5 (13.2%) patients in the RPVBT groups, 13 (16.3%) and 3 (10%) patients experienced recurrence in the PVBT and RC groups at 36 months. No significant differences were noted among the three groups (P = 0.778). Additionally, Kaplan–Meier survival analysis revealed no statistically significant differences in RFS (P = 0.791) and OS (P = 0.689) among the three groups.ConclusionsOur findings indicate that RPVBT combined with chemotherapy is a simple and feasible treatment option with fewer complications and satisfactory survival outcomes in patients with single, < 3 cm, T2 stage bladder cancer.

Analysis of decision-making factors for defunctioning ileostomy after rectal cancer surgery and their impact on perioperative recovery: a retrospective study of 1082 patients.

To explore the decision-making factors for defunctioning ileostomy (DI) after rectal cancer surgery and to analyze the impact of the DI on perioperative outcomes. A retrospective case-control study was conducted that included rectal cancer patients who underwent low anterior resection from January 2013 to December 2023. Among them, 33 patients did not undergo DI but with anastomotic leakage (AL) after surgery, and 1030 patients were without AL. Preoperative, operative and tumor factors between these two groups were compared to explore the decision-making factors for DI. Meanwhile, the differences of perioperative outcomes between the DI group of 381 cases and non-DI group of 701 cases were compared. For preoperative factors, the proportions of male patients and preoperative chemoradiotherapy (CRT) in the AL with non-DI group were greater than those in the non-AL group (p < 0.05); for operative factors, the proportion of patients in the AL with non-DI group with a surgical time > 180min were greater (p < 0.05); for tumor factors, the proportion of T3-4 stage was higher in the AL with non-DI group (p < 0.05). Multiple regression analysis revealed that male sex and preoperative CRT were the independent risk factors affecting DI. For perioperative outcomes, the DI did not reduce the incidence of all and symptomatic AL and non-AL postoperative complications (p > 0.05) but with 12.07% stoma-related complications, and increase hospitalization costs (p < 0.05); however, it can shorten the postoperative hospital stay, pelvic drainage tube removal time, and reduce the anal tube placement rate and readmission rate (all p < 0.05). Male patients and preoperative CRT were the independent risk factors affect the decision of DI in our study, and DI can shorten the postoperative hospitalization, pelvic drainage tube removal time, and decrease the anal tube placement rate and readmission rate during the perioperative period but with a higher economic cost.

Predicting lymph node recurrence in cT1-2N0 tongue squamous cell carcinoma: collaboration between artificial intelligence and pathologists.

Researchers have attempted to identify the factors involved in lymph node recurrence in cT1-2N0 tongue squamous cell carcinoma (SCC). However, studies combining histopathological and clinicopathological information in prediction models are limited. We aimed to develop a highly accurate lymph node recurrence prediction model for clinical stage T1-2, N0 (cT1-2N0) tongue SCC by integrating histopathological artificial intelligence (AI) with clinicopathological information. A dataset from 148 patients with cT1-2N0 tongue SCC was divided into training and test sets. The prediction models were constructed using AI-extracted information from whole slide images (WSIs), human-assessed clinicopathological information, and both combined. Weakly supervised learning and machine learning algorithms were used for WSIs and clinicopathological information, respectively. The combination model utilised both algorithms. Highly predictive patches from the model were analysed for histopathological features. In the test set, the areas under the receiver operating characteristic (ROC) curve for the model using WSI, clinicopathological information, and both combined were 0.826, 0.835, and 0.991, respectively. The highest area under the ROC curve was achieved with the model combining WSI and clinicopathological factors. Histopathological feature analysis showed that highly predicted patches extracted from recurrence cases exhibited significantly more tumour cells, inflammatory cells, and muscle content compared with non-recurrence cases. Moreover, patches with mixed inflammatory cells, tumour cells, and muscle were significantly more prevalent in recurrence versus non-recurrence cases. The model integrating AI-extracted histopathological and human-assessed clinicopathological information demonstrated high accuracy in predicting lymph node recurrence in patients with cT1-2N0 tongue SCC.

Comparative Study of Preoperative Staging of Bladder Cancer Assessed by Contrast-enhanced Ultrasound and CT

Objective: To investigate the differences and advantages of contrast-enhanced ultrasound and CT in the preoperative staging evaluation of bladder cancer. Methods: 55 patients with bladder cancer admitted to the hospital from March 2023 to March 2024 were selected as study samples. All patients were confirmed by surgical pathology, and CT enhanced scan and contrast-enhanced ultrasound were selected for preoperative staging. The postoperative pathological staging was taken as the gold standard. The accuracy rate of CT and contrast-enhanced ultrasound in the preoperative staging diagnosis of bladder cancer was compared, and ROC curves were drawn to compare the diagnostic value of both in bladder cancer. Results: There was no significant difference in T1, T4 and T3 between contrast-enhanced ultrasound and CT before bladder cancer detection (P &gt; 0.05). The diagnostic coincidence rate of CEUS in T2 stage was higher than that of CT (P &lt; 0.05). ROC curve analysis showed that the sensitivity and specificity of CEUS in diagnosing T-stage bladder cancer were higher than those of CT (P &lt; 0.05). Conclusion: The overall coincidence rate of CEUS in the assessment of bladder cancer before surgery and in the diagnosis of T2 stage bladder cancer is higher than that of CT, and its diagnostic sensitivity and specificity are also higher than that of CT.

Prognostic significance of residual tumor at restaging transurethral bladder resection in high-risk non-muscle-invasive bladder cancer.

To assess prognostic significance of residual tumor at repeat transurethral resection (reTUR) in contemporary non-muscle-invasive bladder cancer (NMIBC) patients. Patients were identified retrospectively from eight referral centers in France, Italy and Spain. The cohort included consecutive patients with high or very-high risk NMIBC who underwent reTUR and subsequent adjuvant BCG therapy. A total of 440 high-risk NMIBC patients were screened, 29 (6%) were upstaged ≥ T2 at reTUR and 411 were analyzed (T1 stage: n = 275, 67%). Residual tumor was found in 191 cases (46%). In patients with T1 tumor on initial TURBT, persistent T1 tumor was found in 18% of reTUR (n = 49/275). In patients with high-grade Ta tumor on initial TURBT, T1 tumor was found in 6% of reTUR (n = 9/136). In multivariable logistic regression analysis, we found no statistical association between the use of photodynamic diagnosis (PDD, p = 0.4) or type of resection (conventional vs. en bloc, p = 0.6) and the risk of residual tumor. The estimated 5-yr recurrence and progression-free survival were 56% and 94%, respectively. Residual tumor was significantly associated with a higher risk of recurrence (p < 0.001) but not progression (p = 0.11). Only residual T1 tumor was associated with a higher risk of progression (p < 0.001) with an estimated 5-yr progression-free survival rate of 76%. ReTUR should remain a standard for T1 tumors, irrespective of the use of en bloc resection or PDD and could be safely omitted in high-grade Ta tumors. Persistent T1 tumor at reTUR should not exclude these patients from conservative management, and further studies are needed to explore the benefit of a third resection in this subgroup.