Publications by authors named "Jiafan Yu"

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.
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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.

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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).

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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.
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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!
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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.

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Background: Prophylactic central lymph node dissection (PCND) was a basic consensus for patients with papillary thyroid carcinoma (PTC) in China. However, unilateral or bilateral central lymph node dissection (CND) was still controversial. This study aimed at investigating the safety and long-term benefit for the patients undergone with bilateral central lymph node dissection (BCCD).

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Screen-printing provides an economically attractive means for making Ag electrical contacts to Si solar cells, but the use of Ag substantiates a significant manufacturing cost, and the glass frit used in the paste to enable contact formation contains Pb. To achieve optimal electrical performance and to develop pastes with alternative, abundant and non-toxic materials, a better understanding the contact formation process during firing is required. Here, we use in situ X-ray diffraction during firing to reveal the reaction sequence.

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Rapid thermal processing (RTP) is widely used for processing a variety of materials, including electronics and photovoltaics. Presently, optimization of RTP is done primarily based on ex-situ studies. As a consequence, the precise reaction pathways and phase progression during the RTP remain unclear.

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