Background: In 2002, the American Joint Committee on Cancer and the International Union Against Cancer redefined the T-classification for hepatocellular carcinoma, shifting the cutoff value for tumor size from 2 to 5 cm and giving more emphasis to vascular invasion.
Methods: A retrospective cohort study was conducted on 223 consecutive patients with hepatocellular carcinoma observed between 1990 and 2002. One hundred twelve were resected and considered for retrospective analysis. Univariate and multivariate analyses were performed on several clinicopathologic variables. After classification according to each staging system, the long-term survival of different stages was compared. The prognostic value of each staging system was further evaluated by entering each stage, in turn, into the Cox regression model with other clinicopathologic variables. The median follow-up was 19 months.
Results: On multivariate analysis, the viral etiology of cirrhosis and the presence of multiple nodules were independent prognostic factors. When the new staging system was entered into the multivariate analysis, it was the only independent factor (P = .02). When stratified according to the old tumor-node-metastasis system, there were no significant differences in the survival between stage I and II (P = .14) or between stage IIIA and IVA (P = .33); only the survival of stage II and IIIA was different (P < .01). When stratified according to the new tumor-node-metastasis system, there were significant differences between stage I and II (71.7% vs. 54.7%; P = .02).
Conclusions: The new staging system is a more reliable and objective method for T classification. It is easy to use in clinical practice and is better at stratifying curatively resected patients with respect to prognosis.
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http://dx.doi.org/10.1245/ASO.2005.03.098 | DOI Listing |
BMC Cancer
January 2025
Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, Fujian Cancer Hospital, No. 420, Fuma Road, Jinan District, Fuzhou City, Fujian Province, People's Republic of China.
Background: Our goal is to develop a nomogram model to predict overall survival (OS) for elderly esophageal squamous cell carcinoma (ESCC) patients receiving definitive radiotherapy (RT) or concurrent chemoradiotherapy (CRT), aiding clinicians in personalized treatment planning with a risk stratification system.
Methods: A retrospective study was conducted on 718 elderly ESCC patients treated with RT or CRT at 10 medical centers (3JECROG) from January 2004 to November 2016. We identified independent prognostic factors using univariate and multifactorial Cox regression to construct a nomogram model.
BMC Med Imaging
January 2025
Department of Information Technology, Manipal Institute of Technology Bengaluru, Manipal Academy of Higher Education, Manipal, Karnataka, 576104, India.
Problem: Breast cancer is a leading cause of death among women, and early detection is crucial for improving survival rates. The manual breast cancer diagnosis utilizes more time and is subjective. Also, the previous CAD models mostly depend on manmade visual details that are complex to generalize across ultrasound images utilizing distinct techniques.
View Article and Find Full Text PDFSci Rep
January 2025
School of Computer Science and Engineering, VIT-AP University, Vijayawada, India.
In recent years, the healthcare data system has expanded rapidly, allowing for the identification of important health trends and facilitating targeted preventative care. Heart disease remains a leading cause of death in developed countries, often leading to consequential outcomes such as dementia, which can be mitigated through early detection and treatment of cardiovascular issues. Continued research into preventing strokes and heart attacks is crucial.
View Article and Find Full Text PDFNPJ Digit Med
January 2025
Mike Toth Head and Neck Cancer Research Center, Division of Surgical Oncology, Department of Otolaryngology-Head and Neck Surgery, Mass Eye and Ear, Boston, MA, USA.
Accurate prognostication guides optimal clinical management in skin cancer. Merkel cell carcinoma (MCC) is the most aggressive form of skin cancer that often presents in advanced stages and is associated with poor survival rates. There are no personalized prognostic tools in use in MCC.
View Article and Find Full Text PDFNature
January 2025
The Eli and Edythe Broad Center of Regeneration Medicine and Stem Cell Research, University of California San Francisco, San Francisco, CA, USA.
The development of the human neocortex is highly dynamic, involving complex cellular trajectories controlled by gene regulation. Here we collected paired single-nucleus chromatin accessibility and transcriptome data from 38 human neocortical samples encompassing both the prefrontal cortex and the primary visual cortex. These samples span five main developmental stages, ranging from the first trimester to adolescence.
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