Objective: To summarize the experiences in intraarterial neoadjuvant chemotherapy for extremity osteosarcoma.
Methods: Between January 2002 and December 2007, 111 patients with stage IIB extremity osteosarcoma received preoperative intraarterial chemotherapy after placing chemotherapy pump subcutaneously, en bloc resection and postoperative adjuvant chemotherapy. There were 63 males and 48 females with an average age of 18 years old (range: 14 - 39). The time from symptom onset to hospitalization varied from several days to 6 months. The induction chemotherapy regimen included epirubicin [50 - 70 mg/m(2) by 4-hour intraarterial infusion/day for 3 days] and epirubicin plus adriamycin [100 - 120 mg/m(2) by 2-hour intraarterial infusion/day for 3 days] repetitively every 2 - 3 weeks. Among which 24 cases only received 2 cycles of induction chemotherapy was assigned into the nonstandard chemotherapy group and 87 cases receiving 3 - 6 cycles of induction chemotherapy the standard chemotherapy group. The number of preoperative chemotherapeutical cycles of standard chemotherapy group depended on the clinical and radiographic evaluation of chemotherapy efficacy.
Results: The median follow-up time was 28 (8 - 48) months. The rate of extremity preservation surgery was 89.53% (77/86) in the standard chemotherapy group and 37.5% (9/24) in the nonstandard chemotherapy group. Kaplan-Meier survival analysis showed that the 3-year overall survival rate and disease-free survival rate of all 111 cases were 68.3% and 65.9% respectively. There were significant differences in overall survival rate (38.9%, 80.0%, P = 0.000), disease-free survival rate (30.1%, 79.5%, P = 0.000), distant metastatic rate (66.67%, 16.09%, P = 0.0000) and local recurrence rate (58.33%, 13.79%, P = 0.0000) between two groups.
Conclusion: Standard intraarterial neo-adjuvant chemotherapy is more effective than nonstandard intraarterial induction chemotherapy to treat stage IIB extremity osteosarcoma.
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JAMA Netw Open
January 2025
Department of Psychiatry, Harvard Medical School, Boston, Massachusetts.
Importance: During buprenorphine treatment for opioid use disorder (OUD), risk factors for opioid relapse or treatment dropout include comorbid substance use disorder, anxiety, or residual opioid craving. There is a need for a well-powered trial to evaluate virtually delivered groups, including both mindfulness and evidence-based approaches, to address these comorbidities during buprenorphine treatment.
Objective: To compare the effects of the Mindful Recovery Opioid Use Disorder Care Continuum (M-ROCC) vs active control among adults receiving buprenorphine for OUD.
JAMA Netw Open
January 2025
Institute of Medical Science, Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
Importance: Secondary lymphedema is a common, harmful side effect of breast cancer treatment. Robust risk models that are externally validated are needed to facilitate clinical translation. A published risk model used 5 accessible clinical factors to predict the development of breast cancer-related lymphedema; this model included a patient's mammographic breast density as a novel predictive factor.
View Article and Find Full Text PDFInvest Ophthalmol Vis Sci
January 2025
Oxford Eye Hospital, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom.
Purpose: This study aimed to evaluate early-phase safety of subretinal application of AAVanc80.CAG.USH1Ca1 (OT_USH_101) in wild-type (WT) pigs, examining the effects of a vehicle control, low dose, and high dose.
View Article and Find Full Text PDFSupport Care Cancer
January 2025
Department of Anesthesiology, School of Medicine, Wakayama Medical University, 811-1 Kimiidera, Wakayama-Shi, 641-8509, Japan.
Purpose: Opioid-induced constipation (OIC) is problematic for patients with cancer receiving opioid therapy. Some guidelines recommend initiating regular laxatives at the same time as opioid analgesics. However, the effectiveness of prophylactic laxatives on OIC has not been widely demonstrated.
View Article and Find Full Text PDFDiscov Oncol
January 2025
Department of Thyroid Breast Surgery, The Second Affiliated Hospital and Yuying Children's Hospital of Wenzhou Medical University, Wenzhou, China.
Objective: Despite the identification of various prognostic factors for anaplastic thyroid carcinoma (ATC) patients over the years, a precise prognostic tool for these patients is still lacking. This study aimed to develop and validate a prognostic model for predicting survival outcomes for ATC patients using random survival forests (RSF), a machine learning algorithm.
Methods: A total of 1222 ATC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into a training set of 855 patients and a validation set of 367 patients.
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