Bladder cancer is a common cancer in genitourinary malignancy. For muscle invasive bladder cancer, surgical removal of the bladder, i.e. radical cystectomy, is in general the definitive treatment which, unfortunately, carries significant morbidities ...
European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology
Apr 24, 2015
AIM: To assess the role of simple enucleation (SE) for the treatment of highly complex renal tumors.
PURPOSE: Limited data are available regarding the oncologic efficacy of pelvic lymph node dissection (PLND) performed during robotic-assisted laparoscopic prostatectomy (RALP) for prostate cancer. We aimed to determine the frequency of pelvic lymph n...
Journal of medical imaging and radiation oncology
Jan 15, 2015
INTRODUCTION: We compare the results of modern external-beam radiotherapy (EBRT), using combined androgen deprivation and dose-escalated intensity-modulated radiotherapy with MRI-CT fusion and daily image guidance with fiducial markers (DE-IG-IMRT), ...
PURPOSE: To assess complication rates and early oncological outcomes of patients aged ≥80 years who underwent robot-assisted radical cystectomy (RARC).
International journal of surgery (London, England)
Nov 18, 2014
INTRODUCTION: Robotic surgery has been applied in managing various types of gynecologic cancers. The purpose of this study is to compare the surgical outcomes of robotic surgery, laparoscopy and laparotomy for managing endometrial cancer.
Archives of gynecology and obstetrics
Oct 25, 2014
PURPOSE OF REVIEW: The objective of this article is to review the recently published literature on the use of minimally invasive surgical approaches for patients with endometrial cancer.
BACKGROUND: Gastric cancer (GC) is a highly heterogeneous disease, and the response of patients to clinical treatment varies substantially. There is no satisfactory strategy for predicting curative effects to date. We aimed to explore a new method fo...
Timely intervention and improved prognosis for breast cancer patients rely on early metastasis risk detection and accurate treatment predictions. This study introduces an advanced multimodal MRI and AI-driven 3D deep learning model, termed the 3D-MMR...
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