The continuing challenge of acoustic neurinomas (1949-1993).

Br J Neurosurg

Dr Achanta Lakshmipathi Neurosurgical Centre, Voluntary Health Services, Madras, India.

Published: November 1995

AI Article Synopsis

Article Abstract

Experience gained in the treatment of acoustic neurinomas over a period of 43 years is presented. This is divided into three eras based on the prevailing knowledge and techniques. Advances in diagnosis, anaesthesia and microsurgical techniques have reduced the mortality to 4% in large tumours and to less than 1% in small tumours. With large tumours, facial nerve preservation has been possible only in 20% of patients. Large tumours continue to predominate, thus providing a formidable challenge. Saving life and the functions of the lower cranial nerves still form the main goal in the majority of patients who come with large tumours.

Download full-text PDF

Source
http://dx.doi.org/10.1080/02688699550041368DOI Listing

Publication Analysis

Top Keywords

large tumours
16
acoustic neurinomas
8
patients large
8
tumours
5
continuing challenge
4
challenge acoustic
4
neurinomas 1949-1993
4
1949-1993 experience
4
experience gained
4
gained treatment
4

Similar Publications

Background: The role of activating alterations in the MAPK pathway in predicting immunotherapy efficacy in lung squamous cell carcinoma (LSCC) patients is largely unknown. The aims of the randomized, phase II SQUINT trial were to assess the efficacy of nivolumab plus ipilimumab (NI) versus platinum-based chemotherapy plus nivolumab (N-CT) and to identify clinically available biomarkers of response to immunotherapy in patients with advanced or metastatic LSCC.

Methods: SQUINT was an open-label, randomized, parallel, non-comparative, phase II trial of NI versus N-CT in chemo-naïve, metastatic or recurrent LSCC adult patients.

View Article and Find Full Text PDF

[Next generation sequencing (NGS)-based molecular panel analysis for metastatic prostate cancer: how often can we detect druggable mutations? : NGS for metastatic adenocarcinoma of the prostate].

Urologie

January 2025

Klinik für Urologie, Uro-Onkologie, roboter-assistierte und spezielle urologische Chirurgie, Uniklinik Köln, Kerpener Str. 62, 50927, Köln, Deutschland.

Introduction: Prostate cancer guidelines recommend molecular analysis of biomaterial following resistance to first-line systemic therapy in order to identify druggable mutations. We report on our results of molecular analysis of tissue specimens via next generation sequencing (NGS) in men with metastatic castration resistant prostate cancer (mCRPC).

Patients And Methods: In all, 311 mCRPC patients underwent NGS analysis from biopsy samples of progressive metastatic lesions or archival radical prostatectomy specimens.

View Article and Find Full Text PDF

Objective: To compare the clinical outcomes between radiofrequency ablation (RFA) and microwave ablation (MWA) for the treatment of T1N0M0 papillary thyroid carcinoma (PTC) in a large cohort.

Materials And Methods: This retrospective study included 1111 patients with solitary T1N0M0 PTC treated with RFA (n = 894) or MWA (n = 215) by experienced physicians. A propensity score matching was used to compare disease progression, including lymph node metastases (LNM), recurrent tumors and persistent tumors, recurrence-free survival (RFS), volume reduction ratio (VRR), and complications between the RFA and MWA groups.

View Article and Find Full Text PDF

Low-grade endometrial stromal sarcoma (LG-ESS) can present diagnostic challenges, due to its overlapping morphological features with other uterine mesenchymal tumors. Misdiagnosis rates remain significant, and immunohistochemical data for LG-ESS are limited to small series and inconsistent antibody panels. This study aimed to refine the IHC profile of LG-ESS by analyzing a large, molecularly confirmed series of 147 cases using a panel of 24 antibodies, including newer markers like transgelin and smoothelin.

View Article and Find Full Text PDF

Background Detection and segmentation of lung tumors on CT scans are critical for monitoring cancer progression, evaluating treatment responses, and planning radiation therapy; however, manual delineation is labor-intensive and subject to physician variability. Purpose To develop and evaluate an ensemble deep learning model for automating identification and segmentation of lung tumors on CT scans. Materials and Methods A retrospective study was conducted between July 2019 and November 2024 using a large dataset of CT simulation scans and clinical lung tumor segmentations from radiotherapy plans.

View Article and Find Full Text PDF

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!