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Objectives: This study aimed to construct a radiomics-based model for prognosis and benefit prediction of concurrent chemoradiotherapy (CCRT) versus intensity-modulated radiotherapy (IMRT) in locoregionally advanced nasopharyngeal carcinoma (LANPC) following induction chemotherapy (IC).
Materials And Methods: A cohort of 718 LANPC patients treated with IC + IMRT or IC + CCRT were retrospectively enrolled and assigned to a training set (n = 503) and a validation set (n = 215). Radiomic features were extracted from pre-IC and post-IC MRI. After feature selection, a delta-radiomics signature was built with LASSO-Cox regression. A nomogram incorporating independent clinical indicators and the delta-radiomics signature was then developed and evaluated for calibration and discrimination. Risk stratification by the nomogram was evaluated with Kaplan-Meier methods.
Results: The delta-radiomics signature, which comprised 19 selected features, was independently associated with prognosis. The nomogram, composed of the delta-radiomics signature, age, T category, N category, treatment, and pre-treatment EBV DNA, showed great calibration and discrimination with an area under the receiver operator characteristic curve of 0.80 (95% CI 0.75-0.85) and 0.75 (95% CI 0.64-0.85) in the training and validation sets. Risk stratification by the nomogram, excluding the treatment factor, resulted in two groups with distinct overall survival. Significantly better outcomes were observed in the high-risk patients with IC + CCRT compared to those with IC + IMRT, while comparable outcomes between IC + IMRT and IC + CCRT were shown for low-risk patients.
Conclusion: The radiomics-based nomogram can predict prognosis and survival benefits from concurrent chemotherapy for LANPC following IC. Low-risk patients determined by the nomogram may be potential candidates for omitting concurrent chemotherapy during IMRT.
Clinical Relevance Statement: The radiomics-based nomogram was constructed for risk stratification and patient selection. It can help guide clinical decision-making for patients with locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy, and avoid unnecessary toxicity caused by overtreatment.
Key Points: • The benefits from concurrent chemotherapy remained controversial for locoregionally advanced nasopharyngeal carcinoma following induction chemotherapy. • Radiomics-based nomogram achieved prognosis and benefits prediction of concurrent chemotherapy. • Low-risk patients defined by the nomogram were candidates for de-intensification.
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http://dx.doi.org/10.1007/s00330-024-10678-8 | DOI Listing |
Med Phys
August 2025
Department of Nuclear Medicine, Affiliated Hospital of Nantong University, Nantong, JiangSu, China.
Background: Super-resolution (SR) reconstruction-based positron emission tomography (PET) imaging has been widely applied in the field of computer vision. However, their definitive clinical benefits have yet to be validated. Radiomics-based modeling provides an effective approach to evaluate the clinical utility of SRPET imaging.
View Article and Find Full Text PDFEur J Radiol
August 2025
Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, People's Republic of China. Electronic address:
Purpose: To explore the predictive value of MRI radiomics based on mesorectal fat for pathological complete response (pCR) to neoadjuvant chemoradiotherapy in locally advanced rectal cancer, and to develop a combined predictive model incorporating MRI radiomics, quantitative fat parameters and clinical features.
Materials And Methods: In this retrospective study, 235 rectal cancer patients who received neoadjuvant chemoradiotherapy followed by resection were enrolled, with their pretreatment MRI. Patients were randomly allocated into training (n = 164) and test (n = 71) cohorts.
Sci Rep
August 2025
Shandong Key Laboratory of Digital Medicine and Computer-Assisted Surgery, The Affiliated Hospital of Qingdao University, No. 16 Jiangsu Road, Qingdao, 266003, China.
This study investigates the use of CT-based radiomics for predicting extrahepatic metastasis in hepatocellular carcinoma (HCC) following hepatectomy. We analyzed data from 374 patients from two centers (277 in the training cohort and 97 in an external validation cohort). Radiomic features were extracted from contrast-enhanced CT scans.
View Article and Find Full Text PDFAcad Radiol
August 2025
Department of Radiology,The Third Hospital of Mianyang, Sichuan Mental Health Center, Mianyang 621000, China (H.Y., P.H., J.L., F.D., P.Y., Z.T., B.T., F.L.). Electronic address:
Rationale And Objectives: Develop and validate a multiparametric MRI-based integrative model that combines intratumoral microenvironmental heterogeneity, peritumoral radiomic features, and clinicopathological variables for the noninvasive preoperative prediction of extraprostatic extension (EPE) in prostate cancer, aiming to support surgical decision-making and reduce postoperative biochemical recurrence.
Methods: MRI and clinicopathological data from 590 prostate cancer (PCa) patients across four centers (August 2013-September 2023) were retrospectively collected and divided into a training cohort (n = 249), internal validation cohort (n = 106), and two external test cohorts (n₁ = 199, n₂ = 36). Radiomic and habitat features were extracted from T2WI, DWI, ADC, and DCE MRI sequences.
J Thorac Dis
July 2025
Department of Pulmonary and Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
Background: There is a dismal prognosis for idiopathic pulmonary fibrosis (IPF), a progressive interstitial lung disease. During acute exacerbations, the survival outcomes are significantly worse. This study aimed to evaluate the efficacy of high-resolution computed tomography (HRCT)-based radiomics in predicting mortality in patients experiencing acute exacerbation of idiopathic pulmonary fibrosis (AE-IPF).
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