Long-term outcomes of robot-assisted laparoscopic surgery versus conventional laparoscopic surgery for rectal cancer: single-center, retrospective, propensity score analyses
This study aimed to compare the long-term outcomes of RALS and CLS for rectal cancer using propensity score matching. This retrospective study included 185 patients with stage I –III rectal cancer who underwent radical surgery at our institute between 2010 and 2019. Propensity score analyses were performed with 3-year overall survival (OS) and relapse-free survival (RFS) as the primary endpoints. After case matching, the 3-year OS and 3-year RFS rates were 86.5% and 77.9% in the CLS group and 98.4% and 88.5% in the RALS group, respectively. Although there were no significant differences in OS (p = 0.195) or RFS (p ...
Source: Journal of Robotic Surgery - April 3, 2024 Category: Surgery Source Type: research
Preliminary comparative study of lower extremity pressure measurements under the conditions using former models and new lithotomy stirrups in rectal cancer surgery
This study aimed to investigate the effect of the use of new lithotomy stirrups-2 on the pressure dispersal on lower limbs, which may lead to the prevention of well-leg compartment syndrome (WLCS) and deep ven... (Source: World Journal of Surgical Oncology)
Source: World Journal of Surgical Oncology - April 3, 2024 Category: Cancer & Oncology Authors: Takayuki Ochi, Hidetoshi Katsuno, Hiroyuki Kato, Shinya Takagi, Kenji Kikuchi, Kenichi Nakamura, Tomoyoshi Endo, Kazuhiro Matsuo, Hironobu Yasuoka, Akihiro Nishimura, Akihiko Horiguchi and Zenichi Morise Tags: Research Source Type: research
A comprehensive evaluation of 80 consecutive robotic low anterior resections: impact of not mobilizing the splenic flexure alongside low-tie vascular ligation as a standardized technique
The objective is to present the short- and long-term outcomes of a low-tie ligation combined with no SFM in robotic low anterior resection (LAR) for mid- and low rectal cancer as a standardized technique. A retrospective observational single-cohort study was carried out at Reina Sofia University Hospital, Cordoba, Spain. 221 robotic rectal resections between Jul-18th-2018 and Jan-12th-2023 were initially considered. After case selection, 80 consecutive robotic LAR performed by a single surgeon were included. STROBE checklist assessed the methodological quality. Histopathological, morbidity and oncological outcomes were ass...
Source: Journal of Robotic Surgery - April 2, 2024 Category: Surgery Source Type: research
Convolutional neural network deep learning model accurately detects rectal cancer in endoanal ultrasounds
ConclusionsThis research demonstrates the potential of DL models in enhancing rectal cancer detection during EAUS, especially in settings with lower examiner experience. The achieved sensitivity and accuracy suggest the viability of incorporating AI support for improved diagnostic outcomes in non-specialized medical centers. (Source: Techniques in Coloproctology)
Source: Techniques in Coloproctology - April 1, 2024 Category: Surgery Source Type: research
Image-based artificial intelligence for the prediction of pathological complete response to neoadjuvant chemoradiotherapy in patients with rectal cancer: a systematic review and meta-analysis
ConclusionsImage-based AI models exhibited favorable performance for predicting pCR to nCRT in rectal cancer. However, further clinical trials are warranted to verify the findings. (Source: La Radiologia Medica)
Source: La Radiologia Medica - April 1, 2024 Category: Radiology Source Type: research
Radiomics-enhanced early regression index for predicting treatment response in rectal cancer: a multi-institutional 0.35 T MRI-guided radiotherapy study
ConclusionThe integration of the radiomic analysis with ERITCP improves the pCR prediction in LARC patients, offering more precise predictive models to further personalise 0.35 T MRIgRT treatments of LARC patients. (Source: La Radiologia Medica)
Source: La Radiologia Medica - April 1, 2024 Category: Radiology Source Type: research
