TNM staging of midgut and hindgut (neuro) endocrine tumors: a consensus proposal including a grading system

Criteria for the staging and grading of neuroendocrine tumors (NETs) of midgut and hindgut origin were established at the second Consensus Conference in Frascati (Rome) organized by the European Neuroendocrine Tumor Society (ENETS). The proposed tumor-node-metastasis (TNM) classifications are based on the recently published ENETS Guidelines for the Diagnosis and Treatment of gastroenteropancreatic NETs and follow our previous proposal for foregut tumors. The new TNM classifications for NETs of the ileum, appendix, colon, and rectum, and the grading system were designed, discussed, and consensually approved by all conference participants. These proposals need to be validated and are meant to help clinicians in the stratification, treatment and follow-up of patients.

Regional lymph node staging in prostate cancer: prognostic and therapeutic implications

The role of pelvic lymph node dissection (PLND) in prostate cancer, in which patients and to what extent it should be performed, remains a controversial topic. Preoperative diagnostic methods are more or less unreliable for lymph node staging and PLND remains the most reliable and accurate method. PLND is indicated in all patients with a PSA value >10 ng/ml and in those with a PSA <10 ng/ml if the Gleason score is > or = 7. If PLND is performed then it should always include the tissue along the external iliac vein, in the obturator fossa and on either side of the internal iliac vessels, up to where the ureter crosses the common iliac vessels. In conjunction with RRP extended PLND may increase staging accuracy, influence decision making with respect to adjuvant therapy and possibly impact outcome.

Staging of osteoarthritis for clinical trials on femoroacetabular impingement

Future clinical trials investigating the natural history and treatment of femoroacetabular impingement (FAI) will require multimodal staging systems for hip osteoarthritis because the optimal system will differ based on the size of the study population, the specific objective in question, and the time frame in which the investigator expects to see the specified end point. Plain radiographs are readily available, low in cost, and of unquestioned validity, but they are relatively insensitive to early joint damage. MRI allows assessment of both bony and soft-tissue pathology within the joint, and it is much more sensitive for early joint damage because cartilage is visualized directly. Biochemical imaging techniques such as delayed gadolinium-enhanced MRI of cartilage, T2 mapping, and T1rho offer the potential to identify biochemical damage to cartilage before the onset of irreversible tissue loss. In the future, biomarkers may allow earlier detection of osteoarthritis before the development of radiographic evidence of disease.

Assessment of the Hong Kong Liver Cancer Staging System in Europe.

BACKGROUND & AIMS European and American guidelines have endorsed the Barcelona Clinic Liver Cancer (BCLC) staging system. The aim of this study was to assess the performance of the recently developed Hong Kong Liver Cancer (HKLC) classification as a staging system for hepatocellular carcinoma (HCC) in Europe. METHODS We used a pooled set of 1693 HCC patients combining three prospective European cohorts. Discrimination ability between the nine substages and five stages of the HKLC classification system was assessed. To evaluate the predictive power of the HKLC and BCLC staging systems on overall survival, Nagelkerke pseudo R2, Bayesian Information Criterion and Harrell's concordance index were calculated. The number of patients who would benefit from a curative therapy was assessed for both staging system. RESULTS The HKLC classification in nine substages shows suboptimal discrimination between the staging groups. The classification in five stages shows better discrimination between groups. However, the BCLC classification performs better than the HKLC classification in the ability to predict OS. The HKLC treatment algorithm tags significantly more patients to curative therapy than the BCLC. CONCLUSIONS The BCLC staging system performs better for European patients than the HKLC staging system in predicting OS. Twice more patients are eligible for a curative therapy with the HKLC algorithm, whether this translates in survival benefit remains to be investigated. This article is protected by copyright. All rights reserved.

Clinical Diagnosis and Staging of Intrahepatic Cholangiocarcinoma.

Intrahepatic cholangiocarcinomas are the second most common primary liver malignancies with an increasing incidence over the past decades. Due to a lack of early symptoms and their aggressive oncobiological behavior, the diagnostic approach is challenging and the outcome remains unsatisfactory with a poor prognosis. Thus, a consistent staging system for a comparison between different therapeutic approaches is needed, but independent predictors for worse survival are still controversial. Currently, four different staging systems are primarily used, which differ in the way they determine the 'T' category. Furthermore, different nomograms and prognostic models have been recently proposed and may be helpful in providing additional information for predicting the prognosis and therefore be helpful in approaching an adequate treatment strategy. This review will discuss the diagnostic approach to intrahepatic cholangiocarcinoma as well as compare and contrast the most current staging systems and prognostic models.

Sentinel node mapping using hysteroscopic injection of indocyanine green and laparoscopic near-infrared fluorescence imaging in endometrial cancer staging.

Herein is presented a technique for minimally invasive sentinel node mapping. The patient had apparently early stage endometrial cancer. Sentinel node mapping was performed using a hysteroscopic injection of indocyanine green followed by laparoscopic sentinel node detection via near-infrared fluorescence. This technique ensures delineation of lymphatic drainage from the tumor area, thus achieving accurate detection of sentinel nodes.