Publications by authors named "Rongxu Du"
Article Synopsis
- This study focuses on improving a commercial deep learning auto-segmentation model for rectal cancer radiotherapy by using a method called localized fine-tuning (LFT), addressing the issue of performance decline when models are used in real clinical settings.
- Researchers evaluated the model's effectiveness by dividing 120 rectal cancer patients into training and validation datasets, and they compared the LFT model's performance against the vendor-provided pretrained model (VPM) using various accuracy metrics.
- Results showed that LFT significantly enhanced the accuracy for marking clinical target volumes, especially improving the segmentation of complex structures, with no performance degradation noted when tested in different clinical environments.
Background: Oesophageal squamous cell carcinoma is one of the most commonly diagnosed carcinomas in China, and postoperative radiotherapy plays an important role in improving the prognosis of patients. Carcinomas in different locations of the oesophagus could have different patterns of lymph node metastasis after surgery.
Methods: In this multicentric retrospective study, we enrolled patients with middle thoracic oesophageal squamous cell carcinomas from 3 cancer centres, and none of the patients underwent radiotherapy before or after surgery.
Background: Few studies have evaluated the significance of sarcopenia in predicting the outcomes of patients with adenocarcinoma of the esophagogastric junction (AEG), especially those who received neoadjuvant chemoradiotherapy (NCRT). We aimed to identify the sarcopenic status and its impact on the outcomes of patients with locally advanced AEG who received NCRT followed by radical surgery or systemic therapy.
Materials And Methods: Patients with T3-4N+M0 AEG with accessible abdominal computed tomography (CT) before and after NCRT were retrospectively analyzed.
Background: To study lymphatic recurrence distribution after radical surgery in the real world and guide clinical tumor volume delineation for regional lymph nodes during postoperative radiotherapy for lower thoracic squamous cell esophageal carcinomas.
Methods: We enrolled patients who underwent radical esophagectomy, without radiation before or after surgery, at 3 cancer hospitals. Patients were classified into groups according to tumor locations.
Background: Multimodal therapies based on surgical resection have been recommended for the treatment of adenocarcinoma of the oesophagogastric junction (AEG). We aimed to evaluate prognostic factors in AEG patients receiving neoadjuvant chemoradiotherapy and to build predictive models.
Methods: T3 - T4N + M0 AEG patients with resectable Siewert type II/III tumours were enrolled in this study.
Lymph nodes metastasis in cervical cancer: Incidences, risk factors, consequences and imaging evaluations.
Asia Pac J Clin Oncol
October 2018
Article Synopsis
- The study focused on the incidence and risk factors of lymph node metastasis in cervical cancer patients undergoing radical hysterectomy and lymphadenectomy.
- Among the 406 patients analyzed, 14% were found to have lymphatic metastasis, with certain factors like positive parametrium being significant predictors.
- The results indicated that while imaging methods had high specificity, they lacked sensitivity, suggesting a need for improved preoperative evaluations to better predict lymph node metastasis.
Surgical Management of Congenital Arteriovenous Fistula near Lateral Cranial Base.
Ann Vasc Surg
November 2017
An arteriovenous fistula is an aberrant communication between an artery and a vein. Here is a case in which risk factors including multiple fistulae, dangerous location, and high-flow blood occurred simultaneously. The patient is a 13-year-old boy diagnosed with bilateral arteriovenous fistulae between the jugular vein and carotid artery separately, with cardiac dilatation and pulmonary artery hypertension.
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