This study reviewed retrospectively the clinical characteristics of 28 cancer patients with fungal osteoarticular infections (FOAIs) between 1995 and 2005. Most patients (26; 93%) had haematological malignancies (19 had leukaemia); half (14) were allogeneic stem-cell transplant recipients. Twelve patients (43%) had severe neutropenia (< or = 100/mm3) with a mean duration of 65 days (range 10-500 days), and ten (36%) patients had received a significant dose of corticosteroids. Most (19; 68%) FOAIs were caused by contiguous extension, while nine (32%) were associated with haematogenous spread. Pain, joint instability and local drainage were seen in 28 (100%), six (21%), and seven (25%) patients, respectively. Sixteen (57%) patients had symptoms for < 1 month. The sinuses (ten; 36%) and the vertebral spine (six; 21%) were the most common sites involved. Moulds were the predominant pathogens: Aspergillus fumigatus (two); non-fumigatus Aspergillus spp. (eight); non-specified Aspergillus spp. (three); Fusarium spp. (six); Zygomycetes (five); Scedosporium apiospermum (two); and Exserohilum sp. (one). Candida was the causative pathogen in four cases (including two cases of mixed FOAIs). Arthritis and post-operative FOAIs were both uncommon manifestations, occurring in two patients each. All patients received systemic antifungal therapy (combinations in 20 cases), and 19 cases underwent adjunctive surgery. The crude mortality rates (at 12 weeks) were 44% (9/20) in the patients who underwent surgery and antifungal therapy vs. 33% (2/6) in patients who received antifungal therapy alone (p not significant). FOAI is a rare, yet severe, manifestation of localised or systemic mycoses, caused predominantly by moulds, and is seen typically in patients with haematological malignancies.
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Biomed Phys Eng Express
January 2025
Radiation Oncology, Emory University, Emory Midtown Hospital, Atlanta, Georgia, 30322, UNITED STATES.
Although radiotherapy techniques are the primary treatment for head and neck cancer (HNC), they are still associated with substantial toxicity, and side effect. Machine learning (ML) based radiomics models for predicting toxicity mostly rely on features extracted from pre-treatment imaging data. This study aims to compare different models in predicting radiation-induced xerostomia and sticky saliva in both early and late stage of HNC patients using CT and MRI image features along with demographics and dosimetric information.
View Article and Find Full Text PDFDisabil Rehabil
January 2025
Clinic Institute of Medical and Surgical Specialties (ICEMEQ), Hospital Clinic of Barcelona, Barcelona, Spain.
Purpose: Adherence to home rehabilitation following total knee arthroplasty (TKA) is essential to reach optimal functional outcomes, especially in fast-track procedures. The aim of this study is to identify which sociodemographic and health factors significantly affect adherence in this context.
Methods: This is a secondary analysis of a randomized controlled trial with 52 patients.
Appl Neuropsychol Adult
January 2025
Faculty Xavier Institute of Engineering, Mahim, India.
In the fields of engineering, science, technology, and medicine, artificial intelligence (AI) has made significant advancements. In particular, the application of AI techniques in medicine, such as machine learning (ML) and deep learning (DL), is rapidly growing and offers great potential for aiding physicians in the early diagnosis of illnesses. Depression, one of the most prevalent and debilitating mental illnesses, is projected to become the leading cause of disability worldwide by 2040.
View Article and Find Full Text PDFSurg Innov
January 2025
Morristown Medical Center, Department of Surgery, Morristown, NJ, USA.
Background: In difficult colorectal cases, surgeons may opt for a hand-assisted laparoscopic (HALS) colectomy or attempt a laparoscopic surgery that may require an unplanned conversion to open (LCOS). We aimed to compare the clinical outcomes of these 2 types of surgeries.
Methods: Colectomies for acute diverticulitis with a HALS or LCOS surgery were selected from the American College of Surgeons (ACS) National Surgical Quality Improvement Program (NSQIP) 2022 Targeted Colectomy Database.
J Clin Endocrinol Metab
January 2025
Department of Internal Medicine and Therapeutics, University of Pavia, 27100 Pavia, Italy.
Background: Thyroid nodules classified cytologically as low-risk indeterminate lesions (TIR3A) on fine-needle aspiration biopsy (FNAB) present a clinical challenge due to their uncertain malignancy risk. This single-center study aimed to evaluate the natural history of TIR3A nodules.
Materials And Methods: FNABs performed between July 2017 and December 2019 were retrospectively retrieved and patients with TIR3A nodules were evaluated at baseline and throughout a follow-up based on ultrasound (US) parameters and clinical data.
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