Routine staging with endoscopic ultrasound in patients with obstructing esophageal cancer and dysphagia rarely impacts treatment decisions

Deep learning prediction of esophageal squamous cell carcinoma invasion depth from arterial phase enhanced CT images: a binary classification approach

BACKGROUND

Precise prediction of esophageal squamous cell carcinoma (ESCC) invasion depth is crucial not only for optimizing treatment plans but also for reducing the need for invasive procedures, consequently lowering complications and costs. Despite this, current techniques, which can be invasive and costly, struggle with achieving the necessary precision, highlighting a pressing need for more effective, non-invasive alternatives.

METHOD

We developed ResoLSTM-Depth, a deep learning model to distinguish ESCC stages T1-T2 from T3-T4. It integrates ResNet-18 and Long Short-Term Memory (LSTM) networks, leveraging their strengths in spatial and sequential data processing. This method uses arterial phase CT scans from ESCC patients. The dataset was meticulously segmented by an experienced radiologist for effective training and validation.

RESULTS

Upon performing five-fold cross-validation, the ResoLSTM-Depth model exhibited commendable performance with an accuracy of 0.857, an AUC of 0.901, a sensitivity of 0.884, and a specificity of 0.828. These results were superior to the ResNet-18 model alone, where the average accuracy is 0.824 and the AUC is 0.879. Attention maps further highlighted influential features for depth prediction, enhancing model interpretability.

CONCLUSION

ResoLSTM-Depth is a promising tool for ESCC invasion depth prediction. It offers potential for improvement in the staging and therapeutic planning of ESCC.

Evaluation of optimal monoenergetic images acquired by dual-energy CT in the diagnosis of T staging of thoracic esophageal cancer

OBJECTIVES

The purpose of our study was to objectively and subjectively assess optimal monoenergetic image (MEI (+)) characteristics from dual-energy CT (DECT) and the diagnostic performance for the T staging in patients with thoracic esophageal cancer (EC).

METHODS

In this retrospective study, patients with histopathologically confirmed EC who underwent DECT from September 2019 to December 2020 were enrolled. One standard polyenergetic image (PEI) and five MEI (+) were reconstructed. Two readers independently assessed the lesion conspicuity subjectively and calculated the contrast-to-noise ratio (CNR) and the signal-to-noise ratio (SNR) of EC. Two readers independently assessed the T stage on the optimal MEI (+) and PEI subjectively. Multiple quantitative parameters were measured to assess the diagnostic performance to identify T1-2 from T3-4 in EC patients.

RESULTS

The study included 68 patients. Subjectively, primary tumor delineation received the highest ratings in MEI (+) _40 keV of the venous phase. Objectively, MEI (+) images showed significantly higher SNR compared with PEI (p < 0.05), peaking at MEI (+) _40 keV in the venous phase. CNR of tumor (MEI (+) _{40 keV -80 keV}) was all significantly higher than PEI in arterial and venous phases (p < 0.05), peaking at MEI (+) _40 keV in venous phases. The agreement between MEI (+) _40 keV and pathologic T categories was 81.63% (40/49). Rho values in venous phases had excellent diagnostic efficiency for identifying T1-2 from T3-4 (AUC = 0.84).

CONCLUSIONS

MEI (+) reconstructions at low keV in the venous phase improved the assessment of lesion conspicuity and also have great potential for preoperative assessment of T staging in patients with EC.

Nomogram for Predicting Occult Locally Advanced Esophageal Squamous Cell Carcinoma Before Surgery

Introduction

The limitations of preoperative examination result in locally advanced esophageal squamous cell carcinoma (ESCC) often going undetected preoperatively. This study aimed to develop a clinical tool for identifying patients at high risk for occult locally advanced ESCC; the tool can be supplemented with preoperative examination to improve the reliability of preoperative staging.

Materials and Methods

Data of 598 patients who underwent radical resection of ESCC from 2010 to 2017 were analyzed. Logistic multivariate analysis was used to develop a nomogram. The training cohort included patients who underwent surgery during an earlier period (n = 426), and the validation cohort included those who underwent surgery thereafter (n = 172), to confirm the model’s performance. Nomogram discrimination and calibration were evaluated using Harrell's concordance index (C-index) and calibration plots, respectively.

Results

Logistic multivariate analysis suggested that higher preoperative carcinoembryonic antigen levels (>2.43, odds ratio [OR]: 2.093; 95% confidence interval [CI], 1.233–2.554; P = 0.006), presence of preoperative symptoms (OR: 2.737; 95% CI, 1.194–6.277; P = 0.017), presence of lymph node enlargement (OR: 2.100; 95% CI, 1.243–3.550; P = 0.006), and advanced gross aspect (OR: 13.103; 95% CI, 7.689–23.330; P < 0.001) were independent predictors of occult locally advanced ESCC. Based on these predictive factors, a nomogram was developed. The C-indices of the training and validation cohorts were 0.827 and 0.897, respectively, indicating that the model had a good predictive performance. To evaluate the accuracy of the model, we divided patients into high-risk and low-risk groups according to their nomogram scores, and a comparison was made with histopathological data.

Conclusion

The nomogram achieved a good preoperative prediction of occult locally advanced ESCC; it can be used to make rational therapeutic choices.

Role of endoscopic ultrasound in esophageal cancer

Esophageal cancer (ECA) affects 1 in 125 men and 1 in 417 for women and accounts for 2.6% of all cancer related deaths in the United States. The associated survival rate depends on the stage of the cancer at the time of diagnosis, making adequate work up and staging imperative. The 5-year survival rate for localized disease is 46.4%, regional disease is 25.6%, and distant/metastatic disease is 5.2%. Additionally, treatment is stage-dependent, making staging all that much important. For nonmetastatic transmural tumors (T3) and/or those that have locoregional lymph node involvement (N), neoadjuvant therapy is recommended. Conversely, for those who have earlier tumors, upfront surgical resection is reasonable. While positron emission tomography/computed tomography and other cross sectional imaging modalities are exceptional for detecting distant disease, they are inaccurate in staging locoregional disease. Endoscopic ultrasound (EUS) has played a key role in the locoregional (T and N) staging of newly diagnosed ECA and has an evolving role in restaging after neoadjuvant therapy. There is even data to support that the use of EUS facilitates proper triaging of patients and may ultimately save money by avoiding unnecessary or futile treatment. This manuscript will review the current role of EUS on staging and restaging of ECA.

Clinical Risk Prediction Model for Neoadjuvant Therapy in Resectable Esophageal Adenocarcinoma

GOALS AND BACKGROUND

Clinical staging with endoscopic ultrasound (EUS) and positron emission tomography (PET) is used to identify esophageal adenocarcinoma (EAC) patients with locally advanced disease and therefore, benefit from neoadjuvant therapy. However, EUS is operator dependent and subject to interobserver variability. Therefore, we aimed to identify clinical predictors of locally advanced EAC and build a predictive model that can be used as an adjunct to current staging methods.

STUDY

This was a cross-sectional study of patients with EAC who underwent preoperative staging with EUS and PET scan followed by definitive therapy at our institution from January 2011 to December 2017. Demographic data, symptoms, endoscopic findings, EUS, and PET scan findings were obtained.

RESULTS

Four hundred and twenty-six patients met the study criteria, of which 86 (20.2%) patients had limited stage EAC and 340 (79.8%) had locally advanced disease. The mean age was 65.4±10.3 years of which 356 (83.6%) were men and 393 (92.3%) were White. On multivariable analysis, age (above 75 or below 65 y), dysphagia [odds ratio (OR): 2.84], weight loss (OR: 2.06), protruding tumor (OR: 2.99), and tumor size >2 cm (OR: 3.3) were predictive of locally advanced disease, while gastrointestinal bleeding (OR: 0.36) and presence of visible Barrett's esophagus (OR: 0.4) were more likely to be associated with limited stage. A nomogram for predicting the risk of locally advanced EAC was constructed and internally validated.

CONCLUSIONS

We constructed a nomogram to facilitate an individualized prediction of the risk of locally advanced EAC. This model can aid in decision making for neoadjuvant therapy in EAC.

Clinical Predictors of Locally Advanced Pathology in Esophageal Adenocarcinoma

Background

In patients with resectable esophageal adenocarcinoma (EAC), the decision for neoadjuvant treatment depends on clinical staging with endoscopic ultrasound (EUS) and positron-emission tomography (PET) scan. Patients with locally advanced EAC pathology misclassified as early EAC by clinical staging are missing the opportunity to receive neoadjuvant therapy. We aim to identify predictors of locally advanced pathology in EAC to determine more accurately those who benefit from neoadjuvant therapy. 

Methods

Retrospective study of patients who underwent upfront endoscopic or surgical resection for EAC without neoadjuvant therapy from January 2011 to December 2017 was performed. Clinical characteristics, EUS, PET scan and histologic findings were analyzed. Multivariable analysis of predictors of locally advanced stage was performed and a risk prediction score was developed.

Results

A total of 97 patients were included; 68 patients were staged as early EAC (pT1 or pT2 and pN0) and 29 patients were staged as locally advanced EAC (pT1 or pT2 with pN1 and pT3 or pT4 irrespective of N status). In a predictive model of EAC, patients presenting with dysphagia, tumor size >2 cm, exophytic mass appearance on endoscopy and absence of hiatal hernia were more likely to be have locally advanced pathology with a probability of 70% (C-statistic 0.766).

Conclusions

A risk prediction model based on the presence of dysphagia, tumor size >2 cm, exophytic mass appearance and absence of hiatal hernia can be used to identify locally advanced pathology in EAC patients.

Effects of enteral nutrition support combined with enhanced recovery after surgery on the nutritional status, immune function, and prognosis of patients with esophageal cancer after Ivor-Lewis operation

Background

Esophageal cancer (EC) with a high incidence of malnutrition is a highly malignant digestive tract tumor. We investigated the effect of enteral nutrition (EN) support combined with enhanced recovery after surgery (ERAS) on the nutritional status, immune function, and prognosis of patients with EC after Ivor-Lewis operation.

Methods

One hundred patients were randomly divided into the observation group (n=42) and the control group (n=58). The patients in observation group were treated with EN combined with ERAS intervention after Ivor-Lewis operation, and the patients in control group were treated with conventional postoperative EN intervention. The situation of operation, nutritional status, immune function recovery and prognosis between the two groups were compared.

Results

There was no statistically significant difference in operation time or intraoperative blood loss between the two groups (P>0.05). The chest tube removal time and oral feeding time of the observation group after operation were shorter than those of the control group (P<0.05). After intervention, serum albumin (ALB), transferrin (TF), pre-albumin (PA) and hemoglobin (Hb) levels in both groups were significantly decreased. These indexes were significantly higher in the observation group than in the control group (P<0.05). There were no significant changes in the levels of immunoglobulin (Ig) A, IgG, and IgM, or the numbers of CD3⁺, CD4⁺ and CD4⁺/CD8⁺ T cells in the observation group before and after intervention (P>0.05); however those indexes were significantly decreased in the control group after the intervention (P<0.05). Interestingly, the levels of IgA, IgM, IgG, CD3⁺ T cells, CD4⁺ T cells and CD4⁺/CD8⁺ T cells in the observation group were significantly higher than those in the control group after intervention (P<0.05). The incidence of pulmonary infection in the observation group was significantly lower than that in the control group. The postoperative exhaust time, postoperative defecation time and postoperative hospital stay were shorter in the observation group than in the control group (P<0.05). There was no significant difference in hospitalization cost between the two groups (P>0.05).

Conclusions

EN combined with ERAS was more beneficial to the improvement of nutritional status and immune function recovery of patients with EC after Ivor-Lewis operation. It also shortened the length of hospital stay.

Use of endoscopic ultrasound in pre-treatment staging of esophageal cancer did not alter management plan

Background

Initial staging of esophageal cancer relies on EUS in addition to FDG-PET/CT. It is our hypothesis that with the advancement of FDG-PET/CT staging, endoscopic ultrasound may not be required for initial staging in all cases. The purpose of this study is to analyze whether EUS affects initial treatment stratification in patients diagnosed with esophageal cancer.

Methods

A retrospective database at the University of Virginia was queried for patients diagnosed with esophageal squamous cell carcinoma and adenocarcinoma who underwent EGD with EUS and FDG-PET/CT at their initial evaluation from 10/2013 to 5/2017. Two thoracic surgeons were asked to determine appropriate management for each case. Options included surgical resection, neoadjuvant chemoradiotherapy followed by resection, definitive chemoradiotherapy, or chemotherapy with or without palliative radiation. Both surgeons received the FDG-PET/CT report along with the EGD report. For each case, one or both surgeons were randomly allocated to review EUS results in addition to the clinical information. The treatment decisions of each thoracic surgeon were compared to determine if EUS reports impacted clinical management. Simple and weighted correlation coefficients (kappa) were calculated to compare agreement of treatment choices between the two surgeons using McNemars test. Conditional logistic regression was used to assess the influence of EUS on the treatment recommendations.

Results

A total of 50 patients (44 male and 6 female) were enrolled and data was collected. The thoracic surgeons agreed on treatment decisions in 39 cases and disagreed on 11 cases. Agreement between surgeons was good despite lack of EUS information for one surgeon on each case (weighted Kappa =0.73, 95% CI: 0.57-0.89). Using conditional logistic regression, EUS did not have a statistically independent association with agreement on treatment plan (P for model =0.17).

Conclusions

EUS did not have a statistically independent association with agreement on treatment plan for newly diagnosed esophageal cancer (P for model =0.17). Our findings suggest that EUS may not be necessary in the algorithm for the initial staging of every case of esophageal cancer. Selective, rather than mandatory use of EUS seems warranted.

Overview of esophageal cancer

Esophageal cancer is a male-dominant aggressive malignancy and a leading cause of cancer-related mortality worldwide. Squamous cell carcinoma and adenocarcinoma are the two predominant histological subtypes with varying geographical and racial distribution. Globally, squamous cell carcinoma remains the most common histological type. In Western countries, however, adenocarcinoma has become the leading histological subtype, corresponding to a rise in the incidence of obesity, gastro-esophageal reflux disease and Barrett's esophagus. The risk of esophageal adenocarcinoma conferred by Barrett's esophagus depends on factors such as genomic instability, race and gender of the patient. Treatment requires a multidisciplinary team approach and optimal therapy is still debated. Endoscopic therapies, including radiofrequency ablation, endoscopic mucosal resection and endoscopic sub mucosal dissection, have become the standard treatment modality for Barrett's esophagus and early carcinoma. Multimodal treatment, which includes chemotherapy, radiation therapy followed by surgical resection or without surgical resection, in varying orders remains the main mode of treatment for most patients. Minimally invasive surgical approaches have become the standard for esophagectomy and the current literature has demonstrated similar oncological outcomes with reduced morbidity. Recently, there has been a modest improvement in the overall survival of patients with esophageal cancer.