Introduction: Children and adolescents with mature B cell non-Hodgkin lymphoma (B-NHL) are treated with short-intensive chemotherapy. The burden of short-term and long-term toxicity is highly relative to its high cure rate in good-risk patients. Although the addition of rituximab to standard lymphome Malin B (LMB) chemotherapy markedly prolongs event-free survival and overall survival in high-risk patients, the benefit of rituximab in good-risk patients remains to be elucidated. This clinical trial will examine whether the addition of rituximab eliminates anthracyclines in good-risk patients without compromising treatment outcomes.
Methods And Analysis: We will perform a single-arm, open-label, multicentre phase II study. Low-risk (stage I - completely resected, stage II abdominal) and intermediate-risk (stages I and II - incompletely resected; stage II - resected, other than abdominal; stage III with LDH <2× upper limit of normal) patients with newly diagnosed B-NHL are eligible. Low-risk patients receive two courses of R-COMP (rituximab, cyclophosphamide, vincristine, methotrexate, prednisolone and intrathecal methotrexate with hydrocortisone), and intermediate-risk patients receive COP (cyclophosphamide, vincristine, prednisolone and intrathecal methotrexate with hydrocortisone) followed by two courses each of R-COMP and R-CYM (rituximab, cytarabine, methotrexate and intrathecal methotrexate with hydrocortisone). The primary endpoint is a 3-year event-free survival rate in paediatric patients (<18 years) with intermediate-risk disease. 100 patients (10 low-risk and 90 intermediate-risk) will enrol within a 4-year enrolment period and the follow-up period will be 3 years. 108 institutions are participating as of 1 January 2024 (64 university hospitals, 29 general hospitals, 12 children's hospitals and three cancer centres).
Ethics And Dissemination: This research was approved by the Certified Review Board at NHO Nagoya Medical Center (Nagoya, Japan) on 21 September 2021. Written informed consent is obtained from all patients and/or their guardians. The results of this study will be disseminated through peer-reviewed publications and conference presentations.
Study Registration: Japan Registry of Clinical Trials, jRCTs041210104.
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http://dx.doi.org/10.1136/bmjopen-2023-080762 | DOI Listing |
Radiol Artif Intell
January 2025
From the Department of Radiation Oncology, State Key Laboratory of Oncology in South China, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangdong Provincial Clinical Research Center for Cancer, Sun Yat-sen University Cancer Center, 651 Dongfeng Road East, Guangzhou 510060, P. R. China (J.K., C.F.W., Z.H.C., G.Q.Z., Y.Q.W., L.L., Y.S.); Department of Radiation Therapy, Nanhai People's Hospital, The Sixth Affiliated Hospital, South China University of Technology, Foshan, China (J.Y.P., L.J.L.); and Department of Electronic Engineering, Information School, Yunnan University, Kunming, China (W.B.L.).
Purpose To develop and evaluate a deep learning-based prognostic model for predicting survival in locoregionally- advanced nasopharyngeal carcinoma (LA-NPC) using serial MRI before and after induction chemotherapy (IC). Materials and Methods This multicenter retrospective study included 1039 LA-NPC patients (779 male, 260 female, mean age 44 [standard deviation: 11]) diagnosed between April 2009 and December 2015. A radiomics- clinical prognostic model (Model RC) was developed using pre-and post-IC MRI and other clinical factors using graph convolutional neural networks (GCN).
View Article and Find Full Text PDFBMC Cancer
December 2024
Department of Radiology, The Sixth Affiliated Hospital, Sun Yat-sen University, No. 26, Yuancunerheng Road, Guangzhou, Guangdong, 510655, China.
Background: Rectal cancer is a common cancer worldwide and lacks effective prognostic markers. The development of prognostic markers by computational pathology methods has attracted increasing attention. This paper aims to construct a prognostic signature from whole slide images for predicting progression-free survival (PFS) of rectal cancer through an unsupervised artificial intelligence algorithm.
View Article and Find Full Text PDFJ Thorac Dis
October 2024
Department of Surgery, Thoracic Surgery, INOVA Fairfax Medical Center, Fairfax, VA, USA.
Eur Urol Focus
November 2024
Institute of Urology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA. Electronic address:
Background And Objective: The feasibility and safety of a robotic approach for postchemotherapy retroperitoneal lymph node dissection (PC-RPLND) in testicular cancer have been demonstrated, but data on long-term oncological outcomes of this procedure are limited. Our aim was to evaluate oncological outcomes following robotic PC-RPLND in this setting.
Methods: This retrospective cohort study included consecutive patients with testicular cancer treated with robotic PC-RPLND at 11 academic centers worldwide between 2011 and 2023.
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