Implications of peritoneal cancer index distribution on patients undergoing cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

The integration of artificial intelligence in robotic surgery: A narrative review

BACKGROUND

The rise of high-definition imaging and robotic surgery has independently been associated with improved postoperative outcomes. However, steep learning curves and finite human cognitive ability limit the facility in imaging interpretation and interaction with the robotic surgery console interfaces. This review presents innovative ways in which artificial intelligence integrates preoperative imaging and surgery to help overcome these limitations and to further advance robotic operations.

METHODS

PubMed was queried for "artificial intelligence," "machine learning," and "robotic surgery." From the 182 publications in English, a further in-depth review of the cited literature was performed.

RESULTS

Artificial intelligence boasts efficiency and proclivity for large amounts of unwieldy and unstructured data. Its wide adoption has significant practice-changing implications throughout the perioperative period. Assessment of preoperative imaging can augment preoperative surgeon knowledge by accessing pathology data that have been traditionally only available postoperatively through analysis of preoperative imaging. Intraoperatively, the interaction of artificial intelligence with augmented reality through the dynamic overlay of preoperative anatomical knowledge atop the robotic operative field can outline safe dissection planes, helping surgeons make critical real-time intraoperative decisions. Finally, semi-independent artificial intelligence-assisted robotic operations may one day be performed by artificial intelligence with limited human intervention.

CONCLUSION

As artificial intelligence has allowed machines to think and problem-solve like humans, it promises further advancement of existing technologies and a revolution of individualized patient care. Further research and ethical precautions are necessary before the full implementation of artificial intelligence in robotic surgery.

Intra-abdominal temperature variation during hyperthermic intraperitoneal chemotherapy evaluated via computational fluid dynamics modeling

Background

Hyperthermic intraperitoneal chemotherapy (HIPEC) targets intraperitoneal tumors with heated drug solutions via catheters inserted into the peritoneal space. Although studies have focused on clinical outcomes, the flow dynamics at specific intra-abdominal locations at-risk of harboring malignant cells remain poorly understood but are likely to impact the drug pharmacokinetics. Consequently, optimal protocols remain uncertain, with efficacy critically dependent on drug temperature and flow rate. This study tested the hypothesis that fluid flow dynamics at specific at-risk locations could be evaluated via a computational fluid dynamics (CFD) model of closed HIPEC in a simulated human abdominal cavity, with the goal to enable protocol optimization.

Methods

A computer-aided-design (CAD) model of a human intraperitoneal cavity (30 L) was coupled with computational fluid dynamics analysis. The tested HIPEC cycle parameters included catheter position and flow rates. The cavity was subjected to forward (superior to inferior flow) or reverse flow directions at 800 or 1,120 cc/min through four catheters, two as inlets and two as outlets, placed in upper and lower abdominal positions (net fluid volume: 18.5 L). Probes to measure temperature and flow were simulated between small and large bowels, inferior to small bowel mesentery, next to duodenum, superior to liver, superior to fundus, posterior to stomach, and posterior to liver.

Results

The simulations highlight heterogeneity in temperatures and flow that may occur during HIPEC at particular at-risk locations as a function of chemotherapy flow rate and direction. Temperature and fluid flow over the course of 90 min respectively varied from 0.93 K and <0.001 m/s inferior to small bowel mesentery (800 cc/min forward flow) to 3.6 K and 0.01 m/s next to the duodenum (either 800 or 1,120 cc/min forward flow). The results further suggest that monitoring outflow temperature may be inadequate for assessing HIPEC performance at at-risk locations.

Conclusions

Without intra-abdominal temperature monitoring at at-risk locations, it may be unfeasible to determine whether target temperatures and temperature homogeneity are being achieved during HIPEC. This work demonstrates that computational analysis offers the capability to monitor intra-abdominal locations at-risk of suboptimal heating and fluid flow given specific HIPEC parameters, and represents a first step towards designing efficacious tumor targeting during HIPEC.

Evaluating geographical disparities on clinical outcomes following cytoreductive surgery and hyperthermic intraperitoneal chemotherapy

BACKGROUND

Rural Australians typically encounter disparities in healthcare access leading to adverse health outcomes, delayed diagnosis and reduced quality of life (QoL) parameters. These disparities may be exacerbated in advanced malignancies, where treatment is only available at highly specialised centres with appropriate multidisciplinary expertise. Thus, this study aims to determine the association between patient residence on oncological, surgical and QoL outcomes following cytoreductive surgery (CRS) and hyperthermic intra-peritoneal chemotherapy (HIPEC).

METHODS

A retrospective analysis was conducted on consecutive patients undergoing CRS and HIPEC at Royal Prince Alfred Hospital from January 2017 to March 2022. On the basis of their postcode of residence, patients were stratified into metropolitan and regional groups. Data encompassing demographics, oncological, surgical and QoL outcomes were compared. Statistical analysis included chi-square test, t-tests and Kaplan-Meier survival curves.

RESULTS

Among the 317 patients, 228 (72%) were categorised as metropolitan and 89 (28%) as regional. Metropolitan patients presented higher rates of recurrence (61.8% versus 40.0%, p = 0.014) and shorter overall mean survival [3.8 years (95% CI: 3.44-4.09) versus 4.2 years (95% CI: 3.76-4.63), p = 0.019] compared with regional patients. No other statistically significant differences were observed in oncological, surgical and QoL outcomes.

CONCLUSIONS

Most oncological, surgical and QoL parameters did not differ by geographical location of patients undergoing CRS and HIPEC for peritoneal malignancies at a high-volume quaternary referral centre. Observed differences in recurrence and survival may be attributed to the selective nature of surgical referrals and variable follow-up patterns. Future research should focus on characterising referral pathways and its influence on post-operative outcomes.