Background: Radiofrequency ablation (RFA) is currently recommended for dysplastic Barrett's oesophagus (BO); however, there are limited data on treatment response when stratified by baseline histology.
Objective: The objective of this article is to evaluate RFA outcomes and durability for BO with different baseline histology.
Methods: Patients treated with RFA between 2007 and 2017 at a single institution were retrospectively included. Outcome measures were: (a) complete remission of dysplasia (CRD) and intestinal metaplasia (CRIM) at 18 months, (b) complication rate and (c) durability of CRD and CRIM.
Results: A total of 148 patients underwent RFA, of whom 113 completed the treatment protocol (21 low-grade dysplasia (LGD), 46 high-grade dysplasia (HGD) and 46 intramucosal carcinoma (IMC)). CRD and CRIM were achieved in 94.7% and 78.8% of patients, respectively. When stratified by baseline histology, there was no significant difference in CRD between groups (LGD, 95.2%; HGD, 95.7%; and IMC, 93.5%; = 0.89). Similarly, there was no significant difference in CRIM between groups (LGD, 71.4%; HGD, 76.1% and IMC, 87.0%; = 0.39). CRD and CRIM durability at 24 months for LGD, HGD and IMC were 100%, 97.7% and 100% (log rank = 0.31), and 100%, 89.0% and 95.5%, respectively (log rank = 0.62).
Conclusion: Baseline histology is not a predictor of RFA response. Once CRD and CRIM are achieved, these effects are durable over time.
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http://dx.doi.org/10.1177/2050640617752183 | DOI Listing |
Medicine (Baltimore)
January 2025
Department of Thyroid and Breast Surgery, Hebei General Hospital, Shijiazhuang, Hebei Province, China.
To assess whether metabolic syndrome can be used as a reference index to evaluate the efficacy of neoadjuvant chemotherapy treatment for breast cancer (BC). Seventy cases of female BC patients who received neoadjuvant chemotherapy treatment and surgical treatment at the Glandular Surgery Department of Hebei Provincial People's Hospital from January 2021 to December 2023 were retrospectively collected, and clinical data such as puncture pathology were recorded. The clinical data were analyzed by 1-way analysis using the χ2 test, and further multifactorial logistic regression analysis was performed for statistically significant differences.
View Article and Find Full Text PDFJ Cancer Res Ther
December 2024
Department of Ultrasonic Intervention, Eastern Hepatobiliary Surgery Hospital, Second Military Medical University (Naval Medical University), Shanghai, China.
Background: This study investigated the clinical efficacy and prognostic factors of ablative treatment in hepatocellular carcinoma (HCC) patients with and without diabetes mellitus (DM).
Methods: Retrospective data were collected from HCC patients who underwent ablation between January 2016 and December 2019. The baseline clinicopathological characteristics and long-term outcomes, such as overall survival (OS) and recurrence-free survival (RFS), were compared between those with and without DM.
J Cancer Res Ther
December 2024
Department of Ultrasound, The Third Affliated Hospital of Sun Yat-sen University, Guangzhou City, Guangdong Province, China.
Purpose: To evaluate the risk factors that may delay enhanced recovery in the ablation of liver tumors.
Methods: A total of 310 patients who underwent ultrasound-guided ablation of liver tumors under general anesthesia were prospectively enrolled. Baseline data, intraoperative parameters, and postoperative events were evaluated.
World J Urol
January 2025
Medical Oncology Department, Institut de Cancérologie Strasbourg Europe, Strasbourg, France.
Purpose: Surgery remains the cornerstone of localized renal cell carcinoma (RCC) care. Pembrolizumab has recently been recommended as a standard of care for RCC patients who are at high risk of recurrence. Data regarding the efficacy of ICIs either alone or in combination with ICIs or VEGF TKIs for VTT shrinkage are scarce.
View Article and Find Full Text PDFRadiol Imaging Cancer
January 2025
Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands.
Purpose To validate a deep learning (DL) model for predicting the risk of prostate cancer (PCa) progression based on MRI and clinical parameters and compare it with established models. Materials and Methods This retrospective study included 1607 MRI scans of 1143 male patients (median age, 64 years; IQR, 59-68 years) undergoing MRI for suspicion of clinically significant PCa (csPCa) (International Society of Urological Pathology grade > 1) between January 2012 and May 2022 who were negative for csPCa at baseline MRI. A DL model was developed using baseline MRI and clinical parameters (age, prostate-specific antigen [PSA] level, PSA density, and prostate volume) to predict the time to PCa progression (defined as csPCa diagnosis at follow-up).
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