Publications by authors named "Yu-Jia Fan"
Article Synopsis
- Thyroid surgery has improved with new techniques like robotic and endoscopic surgery that help patients recover faster but also come with some challenges.
- In a study of 472 surgeries, robotic surgery took longer to learn and had longer operation times, but it did better at removing lymph nodes without harming important nerves.
- Both types of surgery are safe, but robotic surgery might need special training to use effectively; better training programs could help doctors perform these surgeries even better in the future.
Significance: Near-infrared autofluorescence (NIRAF) utilizes the natural autofluorescence of parathyroid glands (PGs) to improve their identification during thyroid surgeries, reducing the risk of inadvertent removal and subsequent complications such as hypoparathyroidism. This study evaluates NIRAF's effectiveness in real-world surgical settings, highlighting its potential to enhance surgical outcomes and patient safety.
Aim: We evaluate the effectiveness of NIRAF in detecting PGs during thyroidectomy and central neck dissection and investigate autofluorescence characteristics in both fresh and paraffin-embedded tissues.
Objective: To enhance the accuracy in predicting lymph node metastasis (LNM) preoperatively in patients with papillary thyroid microcarcinoma (PTMC), refining the "low-risk" classification for tailored treatment strategies.
Methods: This study involves the development and validation of a predictive model using a cohort of 1004 patients with PTMC undergoing thyroidectomy along with central neck dissection. The data was divided into a training cohort (n = 702) and a validation cohort (n = 302).
Optimizing robotic thyroid surgery: lessons learned from an retrospective analysis of 104 cases.
Front Endocrinol (Lausanne)
February 2024
Article Synopsis
- Robotic surgery is getting better and helps doctors perform thyroid operations more accurately and safely.
- In a study of 104 patients, doctors found that as they did more robotic surgeries, they got faster and had fewer complications.
- Once doctors did around 37 surgeries, they became really efficient, leading to happy patients and good recovery times.
Article Synopsis
- Scientists created a new AI tool called PTAIR 2.0 to help doctors find the parathyroid glands during thyroid surgery, which is super important to avoid health problems after surgery.
- They trained this AI using thousands of images and videos to make it really smart at recognizing these glands.
- Tests showed that PTAIR 2.0 works better than both new and experienced doctors, which could make surgeries safer and help patients recover faster!
Article Synopsis
- This systematic review and meta-analysis investigated whether omitting axillary lymph node dissection (ALND) is effective and safe for patients with clinically node-negative but sentinel lymph node (SLN)-positive breast cancer.
- The study analyzed data from multiple sources, including randomized trials and retrospective cohort studies, focusing on outcomes like axillary and total recurrence rates, disease-free survival (DFS), and overall survival (OS).
- Findings indicated that skipping ALND resulted in similar recurrence rates and survival outcomes but significantly reduced adverse events compared to performing ALND, suggesting SLNB alone may be a safer option for these patients.
Objective: We aimed to establish an artificial intelligence (AI) model to identify parathyroid glands during endoscopic approaches and compare it with senior and junior surgeons' visual estimation.
Methods: A total of 1,700 images of parathyroid glands from 166 endoscopic thyroidectomy videos were labeled. Data from 20 additional full-length videos were used as an independent external cohort.