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Total neoadjuvant therapy (TNT) for locally advanced rectal cancer (LARC) offers significant advantages in terms of pathologic response and long-term survival; however, it is still unclear which patients will benefit the most from this treatment. This study aims to investigate the role of metabolic parameters on pretreatment positron emission tomography-computed tomography (PET/CT) images in predicting treatment response after TNT. The research was conducted using a single-center, retrospective design. Patients treated with total neoadjuvant therapy are included if they have locally advanced rectal cancer (cT3/T4-N0 or cTany-N1/N2). The patient group was categorized into two groups: CR and non-CR. Clinicopathologic features, PET/CT parameters, CA19-9, and CEA values were compared between these two groups. In total, 52 patients were included. The CR group had 21 patients, and the non-CR group had 31 patients. The analysis demonstrated that the CR group had significantly lower metabolic tumor volume (MTV) and total lesion glycolysis (TLG) than the non-CR group ( = 0.022 vs. = 0.003, < 0.05). Also, CA19-9 values were lower than the non-CR group, and this difference was statistically remarkable ( = 0.40, < 0.05). MTV and TLG parameters in PET/CT for pretreatment staging and pretreatment blood CA 19-9 levels are prognostic factors for predicting treatment response, and they may play a crucial role in choosing treatment. Comprehensive research is warranted on this subject with a larger patient population.
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http://dx.doi.org/10.3390/medicina61081449 | DOI Listing |
J Clin Invest
September 2025
The University of Texas at Austin, Austin, United States of America.
Background: Following SARS-CoV-2 infection, ~10-35% of COVID-19 patients experience long COVID (LC), in which debilitating symptoms persist for at least three months. Elucidating biologic underpinnings of LC could identify therapeutic opportunities.
Methods: We utilized machine learning methods on biologic analytes provided over 12-months after hospital discharge from >500 COVID-19 patients in the IMPACC cohort to identify a multi-omics "recovery factor", trained on patient-reported physical function survey scores.
JAMA Netw Open
September 2025
Perinatal Institute, Cincinnati Children's Hospital Medical Center, Cincinnati, Ohio.
Importance: Exposure to inflammation from chorioamnionitis places the fetus at higher risk of premature birth and may increase the risk of neurodevelopmental impairments, though the evidence for the latter is mixed.
Objective: To evaluate whether moderate to severe histologic chorioamnionitis (HCA) is directly associated with adverse motor performance, independent of the indirect mediating effects of premature birth.
Design, Setting, And Participants: This prospective, population-based cohort study recruited participants between September 16, 2016, and November 19, 2019, from referral and nonreferral neonatal intensive care units of 5 southwestern Ohio hospitals.
Curr Atheroscler Rep
September 2025
Department of Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, 521 19th Street South-GSB 444, Birmingham, AL, 35233, USA.
Purpose Of Review: This review examines cardiovascular disease (CVD) risk prediction models relevant to older adults, a rapidly expanding population with elevated CVD risk. It discusses model characteristics, performance metrics, and clinical implications.
Recent Findings: Some models have been developed specifically for older adults, while several others consider a broader age range, including some older individuals.
J Nephrol
September 2025
Institute of Nephrology, Madras Medical College, Chennai, India.
Background: IgA nephropathy is a disease with a highly variable natural history, for which there is an increasing understanding of the role of complement activation in its pathogenesis and progression. We aimed to assess the clinical and prognostic implications of C4d staining in the kidney biopsy of IgA nephropathy patients.
Methods: This was a retrospective observational study wherein the medical records of IgA nephropathy patients were reviewed and baseline characteristics, kidney biopsy findings, treatment response and follow-up data were noted.
Int J Comput Assist Radiol Surg
September 2025
Division of Plastic and Reconstructive Surgery, Neonatal and Pediatric Craniofacial Airway Orthodontics, Department of Surgery, Stanford University School of Medicine, 770 Welch Road, Palo Alto, CA, 94394, USA.
Background: Alveolar molding plate treatment (AMPT) plays a critical role in preparing neonates with cleft lip and palate (CLP) for the first reconstruction surgery (cleft lip repair). However, determining the number of adjustments to AMPT in near-normalizing cleft deformity prior to surgery is a challenging task, often affecting the treatment duration. This study explores the use of machine learning in predicting treatment duration based on three-dimensional (3D) assessments of the pre-treatment maxillary cleft deformity as part of individualized treatment planning.
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