Background: Accurate staging of esophageal carcinoma (EC) is important since it directs further management. Endoscopic ultrasound (EUS) is the best tool available in the locoregional staging of EC; however, differentiating depth of tumor invasion (T) and nodal involvement (N) can be challenging. Accurate staging is particularly important to differentiate T1-2 N0 cancers, which can proceed directly to surgical resection versus TXN1 or T3N0/1 cancers, which benefit from induction chemoradiation prior to surgery. We report the accuracy of EUS staging for cT2N0 lesions.
Patients And Interventions: Six hundred six patients underwent EUS for staging of EC between October 2003 and February 2013 by a single interventional endoscopist specially trained in endoscopic ultrasound. Thirty-eight patients were diagnosed with T2N0 tumors and underwent surgical resection without preoperative chemoradiation. EUS staging was compared to surgical pathology to evaluate accuracy. Patient follow-up was obtained from a retrospective chart review.
Results: Thirty-eight patients (34 men, mean age 65.8 ± 10.5 years) with cT2N0 tumors by EUS underwent surgical resection of EC without chemoradiation after a mean of 22.4 ± 13.7 days post-EUS. When compared with final pathologic outcomes, 12 (32%) were understaged by EUS and 18 (47%) were overstaged. Understaging occurred due to tumor depth (T) in two patients (17%), nodal disease (N) in six (50%), and both in four (33%). Overstaging occurred due to pathology consistent with pT1b tumors instead of T2 tumors in all 17 cases. Based on EUS, 74% were referred for appropriate therapy.
Conclusion: While EUS is highly accurate in staging EC, it is less accurate in staging tumors which are not on either ends of the spectrum (mucosally based or clearly transmural). In this challenging group of patients, EUS understaged EC in 32% of cases resulting in surgical resection when neoadjuvant chemoradiation may have been beneficial. We suspect that newer generation EUS systems, which provide better imaging, will result in improved accuracy in staging this group of patients.
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http://dx.doi.org/10.1007/s12029-014-9616-9 | DOI Listing |
Neuroradiology
January 2025
Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
Introduction: Bipolar disorder (BD) and major depressive disorder (MDD) have overlapping clinical presentations which may make it difficult for clinicians to distinguish them potentially resulting in misdiagnosis. This study combined structural MRI and machine learning techniques to determine whether regional morphological differences could distinguish patients with BD and MDD.
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BMC Public Health
January 2025
Department of Nursing, School of Medicine, Lishui University, No. 1 Xueyuan Road, Lishui City, Zhejiang Province, 323000, China.
Background: Identifying the level of healthy aging and exploring its associated factors are prerequisites in the planning of effective measures among the elderly population. Thus, this study aimed to investigate the prevalence of healthy aging and determine its associated factors among community-dwelling older adults from mountain areas in Lishui, China.
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Eur Radiol
January 2025
Clinic of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900, Lugano, Switzerland.
Lung cancer is the most common and deadly cancer worldwide. The 9th edition of the tumor node meta (TNM) classification system, effective from January 1, 2025, introduces significant updates. Notably, the N2 category is newly divided into N2a (single-station involvement) and N2b (multiple-station involvement), which reflects distinct prognostic implications.
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January 2025
School of Resource, Environment and Safety Engineering, Hunan University of Science and Technology, Xiangtan, 411201, China.
In natural environments, most rocks possess internal fissures and are often exposed to diverse external loads arising from engineering activities and ground stress, among other factors. This study aims to explore the influence of different loading rates on the mechanical properties and acoustic emission (AE) characteristics of fissured rocks and to develop an intrinsic damage model. To achieve this, prefabricated fissured rock specimens that mimic natural rocks were prepared.
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Digital Biomarkers for Oncology Group, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Accurate melanoma diagnosis is crucial for patient outcomes and reliability of AI diagnostic tools. We assess interrater variability among eight expert pathologists reviewing histopathological images and clinical metadata of 792 melanoma-suspicious lesions prospectively collected at eight German hospitals. Moreover, we provide access to the largest panel-validated dataset featuring dermoscopic and histopathological images with metadata.
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