Publications by authors named "Ramon Rami-Porta"

Developed by Pierre F. Denoix in the mid-20th century as a clinical classification of anatomic tumour extent, the tumour, node, and metastasis (TNM) classification was adopted by the Union for International Cancer Control (UICC) and the American Joint Committee on Cancer (AJCC). The first lung cancer classification was published as a brochure in 1966 by the UICC, and 2 years later, the UICC published the first edition of the , which was followed 9 years later by the first edition of the .

View Article and Find Full Text PDF
Article Synopsis
  • The study surveyed pathologists and thoracic surgeons from the IASLC to evaluate their views on the R classification for lung cancer, with a response rate of 72% from 447 professionals.
  • Findings revealed geographic differences in R classification usage, with Europe and Asia often reporting R status, while 70% of North American pathologists rarely do, and varied practices regarding who assigns R categories between regions.
  • The "uncertain resection" category (R(un)) is largely unused globally, highlighting the need for more evidence and standardization in reporting surgical margins and R categories in pathology.
View Article and Find Full Text PDF
Article Synopsis
  • This study examines the use of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for restaging non-small cell lung cancer (NSCLC) after initial treatment, validated by a separate procedure called video-assisted mediastinoscopic lymphadenectomy (VAMLA).* -
  • A retrospective analysis of patients showed that EBUS-TBNA has a moderate sensitivity (63.1%) but excellent specificity (100%) for identifying mediastinal disease, while VAMLA confirmed a 100% accuracy when follow-up was needed after a negative EBUS-TBNA result.* -
  • The findings suggest EBUS-TBNA should be the first choice for invasive rest
View Article and Find Full Text PDF

Introduction: The goal of surgical resection is to completely remove a cancer; it is useful to have a system to describe how well this was accomplished. This is captured by the residual tumor (R) classification, which is separate from the TNM classification that describes the anatomic extent of a cancer independent of treatment. The traditional R-classification designates as R0 a complete resection, as R1 a macroscopically complete resection but with microscopic tumor at the surgical margin, and as R2 a resection that leaves gross tumor behind.

View Article and Find Full Text PDF

Introduction: Spread through air spaces (STAS) consists of lung cancer tumor cells that are identified beyond the edge of the main tumor in the surrounding alveolar parenchyma. It has been reported by meta-analyses to be an independent prognostic factor in the major histologic types of lung cancer, but its role in lung cancer staging is not established.

Methods: To assess the clinical importance of STAS in lung cancer staging, we evaluated 4061 surgically resected pathologic stage I R0 NSCLC collected from around the world in the International Association for the Study of Lung Cancer database.

View Article and Find Full Text PDF

Introduction: The TNM classification of lung cancer is periodically revised. The International Association for the Study of Lung Cancer collected and analyzed a new database to inform the forthcoming ninth edition of the TNM classification. The results are herewith presented.

View Article and Find Full Text PDF

Introduction: This study analyzed all metastatic categories of the current TNM classification of NSCLC to propose modifications of the M component in the next edition (ninth) of the classification.

Methods: A database of 124,581 patients diagnosed between 2011 and 2019 was established; of these, 14,937 with NSCLC in stages IVA to IVB were available for this analysis. Overall survival was calculated using the Kaplan-Meier method, and prognosis was assessed using multivariable-adjusted Cox proportional hazards regression.

View Article and Find Full Text PDF

Objectives: The aim of this study is to analyze the accuracy of video-assisted mediastinoscopic lymphadenectomy (VAMLA) and the unsuspected (u) N2/3 rates in patients with non-small cell lung cancer (NSCLC) and normal mediastinum by integrated positron emission tomography-computed tomography.

Methods: Prospective observational single-center study of 603 consecutive VAMLAs from 2010 to 2022.

Exclusion Criteria: other indications (n = 32), tumors different from NSCLC (n = 91), and clinical (c) N2/3 tumors by positron emission tomography-computed tomography (n = 46).

View Article and Find Full Text PDF

Introduction: An international database was created by the International Association for the Study of Lung Cancer to inform on the ninth edition of the TNM classification of lung cancer. The present analyses concern its T component.

Methods: Data on 124,581 patients diagnosed with lung cancer from January 1, 2011 to December 31, 2019 were submitted to the International Association for the Study of Lung Cancer database.

View Article and Find Full Text PDF

Background And Objective: To evaluate the diagnostic accuracy and clinical usefulness of endobronchial ultrasound-guided transbronchial needle aspiration (EBUS-TBNA) for mediastinal staging of centrally located T1N0M0 non-small cell lung cancer (NSCLC) clinically staged with positron emission tomography/computed tomography (PET/CT).

Methods: We conducted a study that included patients with centrally located T1N0M0 NSCLC, clinically staged with PET/CT who underwent EBUS-TBNA for mediastinal staging. Patients with negative EBUS-TBNA underwent mediastinoscopy, video-assisted mediastinoscopic lymphadenectomy (VAMLA) and/or lung resection with systematic nodal dissection, that were considered the gold standard.

View Article and Find Full Text PDF

Introduction: The accurate assessment of nodal (N) status is crucial to the management and prognostication of nonmetastatic NSCLC. We sought to determine whether the current N descriptors should be maintained or revised for the upcoming ninth edition of the international TNM lung cancer staging system.

Methods: Data were assembled by the International Association for the Study of Lung Cancer on patients with NSCLC, detailing both clinical and pathologic N status, with information about anatomical location and individual station-level identification.

View Article and Find Full Text PDF

Introduction: Stage classification is an important underpinning of management in patients with cancer and rests on a combination of three components-T for tumor extent, N for nodal involvement, and M for distant metastases. This article details the revision of the N and the M components of thymic epithelial tumors for the ninth edition of the TNM classification of malignant tumors proposed by the Thymic Domain of the International Association for the Study of Lung Cancer Staging and Prognostic Factors Committee.

Methods: The N and M components of the eighth edition staging system were verified by a large international collaborative data source through a data-driven analysis.

View Article and Find Full Text PDF

Introduction: In 2014, a TNM-based system for thymic epithelial tumors was proposed. The TNM stage classification system was published as a result of a joint project from the International Association for the Study of Lung Cancer and the International Thymic Malignancy Interest Group for the eighth edition of the American Joint Commission on Cancer and the Union for International Cancer Control stage classification system. The Thymic Domain of the Staging and Prognostic Factors Committee of the International Association for the Study of Lung Cancer received the mandate to make proposals for the ninth edition of the TNM stage classification.

View Article and Find Full Text PDF

Introduction: A TNM-based system for all types of thymic epithelial tumors was introduced in the eighth edition of the TNM classification of thoracic malignancies. The Thymic Domain of the Staging and Prognostic Factors Committee of the International Association for the Study of Lung Cancer, composed of multispecialty international experts, was charged to develop proposals for the ninth edition. This article outlines the proposed definitions for the T, the N, and the M components and their combination into stage groups.

View Article and Find Full Text PDF

Introduction: A lymph node map is the pillar on which accurate assignment and documentation of nodal classification stands. The International Thymic Malignancy Interest Group created the first map for thymic epithelial malignancies in conjunction with the eighth edition of the TNM classification, representing the first official TNM classification of thymic epithelial malignancies. The map was based on clinical experience and published studies, but it was largely empirical because of limited available data.

View Article and Find Full Text PDF

Introduction: A TNM-based stage classification system of thymic epithelial tumors was adopted for the eighth edition of the stage classification of malignant tumors. The Thymic Domain of the Staging and Prognostics Factor Committee of the International Association for the Study of Lung Cancer developed a new database with the purpose to make proposals for the ninth edition stage classification system. This article outlines the proposed definitions for the T categories for the ninth edition TNM stage classification of thymic malignancies.

View Article and Find Full Text PDF
Article Synopsis
  • The International Association for the Study of Lung Cancer (IASLC) has been revising the TNM classification of lung cancer over the past 20 years, with phases one and two already adopted by major cancer organizations.
  • A new database was created for the third phase, comprising over 124,000 lung cancer cases diagnosed between 2011 and 2019, with most data coming from Asia and Australia.
  • This comprehensive data set, which includes detailed information on staging and pathology, aims to inform the upcoming ninth edition of the TNM classification, expected to be implemented in January 2024.
View Article and Find Full Text PDF