Background: The new AJCC classification has highlighted some particular risk factors for squamous cell carcinoma (SCC) relevant for prognosis. Incomplete excision is not infrequent in SCC. The aim of this study is to examine features that can predict an incomplete excision on the basis of the new AJCC classification and to review the literature on this topic.
Materials And Methods: 81 SCC patients were included. All patients were submitted to excisional biopsy with a margin of at least 4 mm from the clinical edges as recommended. Histological characteristics of the lesions analysed were maximum diameter, grading, site, Breslow thickness, Clark level, deep tissue invasion (neural, bone, muscle), presence of ulceration and positivity of the margins.
Results: The average Breslow thickness was 3.93 mm. Out of the 81 patients included, 14 showed involved margins. The 2 parameters that were implicated in predicting involvement of the margins in the multivariable model were Breslow thickness and location of the lesion on the ear or lip. Grading was not associated with involvement of margins.
Conclusion: According to the new AJCC classification, this study could be useful to plan the most suitable surgical technique in order to avoid the risk of incomplete surgery.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1159/000444051 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Lack of Hierarchical Survival Prognosis in AJCC Staging for Colon and Rectal Cancer-Implications for Future Summary Stage Classification.
Clin Colorectal Cancer
December 2024
Department of Colon and Rectal Surgery, The University of Texas MD Anderson Cancer Center, Houston, TX. Electronic address:
Background: Current American Joint Committee on Cancer (AJCC) staging for colorectal cancer utilizes TNM framework groups disease based on extent and provides prognostic information, ideally with a hierarchical logic. We sought to evaluate survival as a function of stage within the 8 edition AJCC staging system for colon and rectal cancer.
Methods: Patients with primary colon or rectal cancer diagnosed 2010-2016 were identified from the National Cancer Database (NCDB).
Automated Pathologic TN Classification Prediction and Rationale Generation From Lung Cancer Surgical Pathology Reports Using a Large Language Model Fine-Tuned With Chain-of-Thought: Algorithm Development and Validation Study.
JMIR Med Inform
December 2024
Office of eHealth Research and Business, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.
Background: Traditional rule-based natural language processing approaches in electronic health record systems are effective but are often time-consuming and prone to errors when handling unstructured data. This is primarily due to the substantial manual effort required to parse and extract information from diverse types of documentation. Recent advancements in large language model (LLM) technology have made it possible to automatically interpret medical context and support pathologic staging.
View Article and Find Full Text PDFEuropean consensus-based interdisciplinary guideline for melanoma. Part 1: Diagnostics - Update 2024.
Eur J Cancer
January 2025
University of Perugia, Unit of Medical Oncology, Santa Maria della Misericordia Hospital, Perugia, Italy.
This guideline was developed in close collaboration with multidisciplinary experts from the European Association of Dermato-Oncology (EADO), the European Dermatology Forum (EDF) and the European Organization for Research and Treatment of Cancer (EORTC). Recommendations for the diagnosis and treatment of melanoma were developed on the basis of systematic literature research and consensus conferences. Cutaneous melanoma (CM) is the most dangerous form of skin tumor and accounts for 90 % of skin cancer mortality.
View Article and Find Full Text PDFContinuous prediction for tumor mutation burden based on transcriptional data in gastrointestinal cancers.
BMC Med Inform Decis Mak
December 2024
Department of Gastroenterology, First Affiliated Hospital of China Medical University, Shenyang, China.
Background: Tumor mutation burden (TMB) has been considered a biomarker for utilization of immune checkpoint inhibitors(ICIs), but whole exome sequencing(WES) and cancer gene panel(CGP) based on next generation sequencing for TMB detection are costly. Here, we use transcriptome data of TCGA to construct a model for TMB prediction in gastrointestinal tumors.
Methods: Transcriptome data, somatic mutation data and clinical data of four gastrointestinal tumors from TCGA, including esophageal cancer (ESCA), stomach adenocarcinoma (STAD), colon adenocarcinoma (COAD) and rectal adenocarcinoma (READ).
Soft tissue tumor imaging in adults: European Society of Musculoskeletal Radiology-Guidelines 2024: imaging immediately after neoadjuvant therapy in soft tissue sarcoma, soft tissue tumor surveillance, and the role of interventional radiology.
Eur Radiol
December 2024
Department of Radiology AZ Sint Maarten Mechelen, University (Hospital) Antwerp, Antwerp, Belgium.
Article Synopsis
- The ESSR updated its 2015 consensus on soft tissue tumor imaging due to advancements in technology and updated classifications.
- A panel of 46 radiologists from 12 European countries used a validated Delphi method to reach consensus on imaging strategies, resulting in high agreement on 47 statements.
- Key findings highlight that MRI is preferred for monitoring soft tissue sarcomas, with chest CT recommended for assessing metastasis and interventional radiology playing a role in treating specific cases.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!