Results 191 to 200 of about 70,141 (253)

Can Deep Learning-Based Auto-Contouring Software Achieve Accurate Pelvic Volume Delineation in Volumetric Image-Guided Radiotherapy for Prostate Cancer? A Preliminary Multicentric Analysis. [PDF]

Curr Oncol
Grossi C, Munoz F, Bonavero I, Ngassam EJT, Garibaldi E, Airaldi C, Celia E, Nassisi D, Brignoli A, Trino E, Bianco L, Leardi S, Bongiovanni D, Valero C, Redda MGR.   +14 more
europepmc   +1 more source

Association Between Liver Function Grade and Post‐Hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma: A Latent Class Analysis

Annals of Gastroenterological Surgery, EarlyView.
We retrospectively analyzed clinical data from patients who underwent hepatectomy for hepatocellular carcinoma (HCC) using LCA‐based grading system. These findings provide a new risk stratification framework for the design of precision surgery to treat patients with HCC.
Ling Liu, Jintao Zheng, Ye Wang, Chenao Yang, Jiachen Zhang, Changku Jia   +5 more
wiley   +1 more source

A novel comprehensive metric balancing imaging dose and setup accuracy in image-guided radiotherapy: concept proposal and clinical validation. [PDF]

Front Oncol
Liu J, Fu X, Luo Z, Yin C, Li Q, Fan X, Li T, Lin C, Xu S, Zhang Y.   +9 more
europepmc   +1 more source

To Evaluate Whether Pretreatment CA19‐9 and DUPAN‐2 Levels Can Serve as Predictive Markers to Guide the Choice Between NAT and Upfront Surgery in Pancreatic Cancer

Annals of Gastroenterological Surgery, EarlyView.
NAT‐GS was significantly more effective only in patients with one tumor marker above the reference range, comparing those who achieved 12‐month MRFS with those who did not. ABSTRACT Aim Pancreatic cancer (PC) remains one of the most lethal malignancies, with early recurrence severely affecting prognosis even after curative resection.
Hiromichi Kawaida, Wataru Izumo, Ryo Saito, Hidetake Amemiya, Suguru Maruyama, Katsutoshi Shoda, Kensuke Shiraishi, Shinji Furuya, Yoshihiko Kawaguchi, Daisuke Ichikawa   +9 more
wiley   +1 more source

Comparison of Deep Learning-Based Auto-Segmentation Results on Daily Kilovoltage, Megavoltage, and Cone Beam CT Images in Image-Guided Radiotherapy. [PDF]

Technol Cancer Res Treat
Wang Z, Shi C, Wong C, Oderinde SM, Watkins WT, Qing K, Liu B, Williams TM, Liu A, Han C.   +9 more
europepmc   +1 more source

Prospective Feasibility Study of Laparoscopic and Robotic Distal Gastrectomy for Advanced Gastric Cancer to Verify the Safety of Surgical Proximal Margins

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Ensuring an adequate surgical proximal margin (SPM) is crucial in radical gastrectomy for gastric cancer. However, the lack of tactile feedback in laparoscopic distal gastrectomy (LDG) and robotic distal gastrectomy (RDG) poses challenges in precisely determining tumor boundaries, particularly in advanced gastric cancer, where tumor ...
Rie Makuuchi, Souya Nunobe, Naoki Ishizuka, Shinichiro Atsumi, Yoshiaki Shoji, Motonari Ri, Masaru Hayami, Tomoyuki Irino, Manabu Ohashi, Takeshi Sano   +9 more
wiley   +1 more source

Organ-contour-driven auto-matching algorithm in image-guided radiotherapy. [PDF]

J Appl Clin Med Phys
Kishigami Y, Nakamura M, Okamoto H, Takahashi A, Iramina H, Sasaki M, Kawata K, Igaki H.   +7 more
europepmc   +1 more source

Combined ablation and radiation therapy of spinal metastases: A novel multimodality treatment approach [PDF]

, 2015
Friedman, Michael V, Greenwood, Taylor J, Hillen, Travis J, Jennings, Jack W, Robinson, Clifford G, Wallace, Adam   +5 more
core   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Correction: Guidelines and recommendations for radiologist staffing, education and training

Insights into Imaging
Adrian P. Brady, Christian Loewe, Boris Brkljacic, Graciano Paulo, Martina Szucsich, Monika Hierath, on behalf of the European Society of Radiology   +6 more
doaj   +1 more source