Background: Few small sample size studies have reported lymphocyte count was prognostic for survival in small-cell lung cancer (SCLC). This study aimed to validate this finding, to build prediction model for overall survival (OS) and to study whether novel models that combine lymphocyte-related variables can predict OS more accurately than a conventional model using clinical factors alone in a large cohort of limited-stage SCLC patients.
Methods: This study enrolled 544 limited-stage SCLC patients receiving definitive chemo-radiation with pre-radiotherapy lymphocyte-related variables including absolute lymphocyte count (ALC), platelet-to-lymphocyte ratio (P/L ratio), neutrophil-to-lymphocyte ratio (N/L ratio), and lymphocyte-to-monocyte ratio (L/M ratio). The primary endpoint was OS. These patients were randomly divided into a training dataset (n=274) and a validation dataset (n=270). Multivariate survival models were built in the training dataset, and the performance of these models were further tested in the validation dataset using the concordance index (C-index).
Results: The median follow-up time was 36 months for all patients. In the training dataset, univariate analysis showed that ALC (P=0.020) and P/L ratio (P=0.023) were significantly correlated with OS, while L/M ratio (P=0.091) and N/L ratio (P=0.436) were not. Multivariate modeling demonstrated the significance of ALC (P=0.063) and P/L ratio (P=0.003), and the improvement for OS prediction in combined models with the addition of ALC (C-index =0.693) or P/L ratio (C-index =0.688) over the conventional model (C-index =0.679). The validation dataset analysis confirmed a modest improvement of C-index with the addition of ALC or P/L ratio. All these models showed reasonable discriminations and calibrations.
Conclusions: This study validated the significant value of pre-radiotherapy ALC and P/L ratio on OS in limited-stage SCLC. The combined model with ALC or P/L ratio showed additional OS prediction values than the conventional model with clinical factors alone.
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http://dx.doi.org/10.21037/tlcr-20-666 | DOI Listing |
AJNR Am J Neuroradiol
January 2025
From the Department of Radiology, Mayo Clinic, Jacksonville, FL, USA (Z.L., X.Z., S.T., V.P., E.M.W., V.G., E.H.M.), Department of Radiology, Peking Union Medical College Hospital, Beijing, China (Z.L.), Siemens Medical Solutions USA, Inc., Jacksonville, FL, USA (J.M.), MR Application Predevelopment, Siemens Healthineers AG, Forchheim, Germany (D.N., P.L.), Siemens Healthineers, Princeton, NJ, USA (M.M.), Siemens Medical Solutions USA, Inc., Scottsdale, AZ, USA (H.M.), and Department of Radiology, Mayo Clinic, Scottsdale, AZ, USA (H.M.).
Prolonged imaging times and motion sensitivity at 7T necessitate advancements in image acceleration techniques. This study evaluates a 7T deep-learning (DL)-based image reconstruction using a deep neural network trained on 7T data, applied to T2-weighted turbo spin echo imaging. Raw k-space data from 30 consecutive clinical 7T brain MRI patients was reconstructed using both DL and standard methods.
View Article and Find Full Text PDFThis study aimed to investigate the impact of dietary soybean oil and probiotics on goat meat quality, total conjugated linoleic acids (TCLA) concentration, and nutritional quality indicators of goats. Thirty-six male crossbred goats (Anglo-Nubian♂× Thai native♀), weighing 18.3 ± 2.
View Article and Find Full Text PDFJ Neurol
January 2025
Department of Neuroscience, Central Clinical School, Faculty of Medicine, Nursing and Health Science, Monash University, Melbourne, VIC, Australia.
Background: Idiopathic intracranial hypertension (IIH) is increasingly prevalent, yet longitudinal outcome data are scarce. This study aimed to characterise demographic and longitudinal clinical changes in a cohort of patients with IIH.
Methods: Retrospective cohort analysis on adult patients diagnosed with IIH (Friedman criteria) enrolled in the neuro-ophthalmology database (NODE) across two tertiary centres.
Acad Radiol
January 2025
Molecular Imaging Branch, National Cancer Institute, National Institutes of Health, Bethesda, MD (O.T.E., E.C.Y., B.D.S., S.A.H., D.G.G., Y.L., M.J.B., P.L.C., B.T.). Electronic address:
Rationale And Objectives: Accurate preoperative mpMRI-based detection of extraprostatic extension (EPE) in prostate cancer (PCa) is critical for surgical planning and patient outcomes. This study aims to evaluate the impact of endorectal coil (ERC) use on the diagnostic performance of mpMRI in detecting EPE.
Materials And Methods: This retrospective study with prospectively collected data included participants who underwent mpMRI and subsequent radical prostatectomy for PCa between 2007 and 2024.
Radiology
January 2025
From the Department of Radiology, Harbin Medical University Cancer Hospital, Harbin, China (Q.S., P.L., J.Z.); and Department of Diagnostic, Molecular, and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Pl, New York, NY 10029 (Q.S., P.L., R.Y., D.F.Y., C.I.H.).
Background Angiolymphatic invasion (ALI) is an important prognostic indicator in non-small cell lung cancer (NSCLC). However, few studies focus on radiologic features for predicting ALI in patients with early-stage NSCLCs 30 mm or smaller. Purpose To identify radiologic features for predicting ALI in NSCLCs 30 mm or smaller in maximum diameter.
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