Safety and feasibility of laparoscopic reoperation for treatment of anastomotic leakage after laparoscopic colorectal cancer surgery

Establishing and clinically validating a machine learning model for predicting unplanned reoperation risk in colorectal cancer

BACKGROUND

Colorectal cancer significantly impacts global health, with unplanned reoperations post-surgery being key determinants of patient outcomes. Existing predictive models for these reoperations lack precision in integrating complex clinical data.

AIM

To develop and validate a machine learning model for predicting unplanned reoperation risk in colorectal cancer patients.

METHODS

Data of patients treated for colorectal cancer (n = 2044) at the First Affiliated Hospital of Wenzhou Medical University and Wenzhou Central Hospital from March 2020 to March 2022 were retrospectively collected. Patients were divided into an experimental group (n = 60) and a control group (n = 1984) according to unplanned reoperation occurrence. Patients were also divided into a training group and a validation group (7:3 ratio). We used three different machine learning methods to screen characteristic variables. A nomogram was created based on multifactor logistic regression, and the model performance was assessed using receiver operating characteristic curve, calibration curve, Hosmer-Lemeshow test, and decision curve analysis. The risk scores of the two groups were calculated and compared to validate the model.

RESULTS

More patients in the experimental group were ≥ 60 years old, male, and had a history of hypertension, laparotomy, and hypoproteinemia, compared to the control group. Multiple logistic regression analysis confirmed the following as independent risk factors for unplanned reoperation (P < 0.05): Prognostic Nutritional Index value, history of laparotomy, hypertension, or stroke, hypoproteinemia, age, tumor-node-metastasis staging, surgical time, gender, and American Society of Anesthesiologists classification. Receiver operating characteristic curve analysis showed that the model had good discrimination and clinical utility.

CONCLUSION

This study used a machine learning approach to build a model that accurately predicts the risk of postoperative unplanned reoperation in patients with colorectal cancer, which can improve treatment decisions and prognosis.

Re-Operative Laparoscopic Colorectal Surgery: A Systematic Review

Introduction: Re-operative laparoscopic colorectal surgery is becoming increasingly common. It can be a challenging procedure, but its benefits can outweigh the associated risks. Methods: A systematic review of the literature reporting re-operative laparoscopic surgery was carried out. Retrospective and prospective cohort studies and case series were included, with case reports being excluded. Results: Seventeen articles dated from 2007 to 2020 were included in the systematic review. In total, 1555 patients were identified. Five hundred and seventy-four of them had a laparoscopic procedure and 981 an open re-operation. One hundred and eighty-three women had a laparoscopic operation. The median age ranged from to 44.9 years to 68.7 years. In seven studies, the indication of the index operation was malignancy, one study regarded re-laparoscopy for excision of lateral pelvic lymph nodes, and one study looked at redo surgery of ileal J pouch anal anastomosis. There were 16 mortalities in the laparoscopic arm (2.78%) and 93 (9.4%) in the open surgery arm. One hundred and thirty-seven morbidities were recorded in the open arm and 102 in the laparoscopic arm. Thirty-nine conversions to open occurred. The median length of stay ranged from 5.8 days to 19 days in laparoscopy and 9.7 to 34 days in the open surgery arm. Conclusions: Re-operative laparoscopic colorectal surgery is safe when performed by experienced hands. The management of complications, recurrence of malignancy, and lateral pelvic floor dissection can be safely performed. The complication rate is low, with conversion to open procedures being relatively uncommon.

Redo-laparoscopy in the management of complications after laparoscopic colorectal surgery: a systematic review and meta-analysis of surgical outcomes

BACKGROUND

The laparoscopic approach for colorectal surgery has gradually become widely accepted for the treatment of both benign and malignant diseases thanks to its several advantages over the open approach. However, it is associated with the same potential postoperative complications. Some recent studies have analyzed the potential role of laparoscopy in early diagnosis and management of complications following laparoscopic colorectal surgery. The aim of this systematic review was to investigate the outcomes of redo-laparoscopy (RL) for the management of early postoperative complications following laparoscopic colorectal surgery, focusing on length of stay, morbidity and mortality.

METHODS

A systematic review of the literature was performed according to the preferred reporting items for systematic reviews and meta-analyses (PRISMA) guidelines through MEDLINE (PubMed), Embase and Google Scholar from January 1990 to December 2019. The main outcomes examined were conversion rate, length of hospital stay, postoperative morbidity and mortality rates. A meta-analysis of all eligible studies was then conducted and forest plots were generated.

RESULTS

A total of 19 studies involving 1394 patients who required reoperation after laparoscopic colorectal resection were included. In 539 (38.2%) of these patients, a laparoscopic approach was adopted. The most common indication for returning to the operating theater was anastomotic leakage (64.4% of all redo-surgeries, 67.7% of RL) and the most common type of intervention performed in RL was diverting stoma with or without anastomotic repair/redo (47.1%). Nine studies were included in the pooled analysis. The mean length of stay was significantly shorter in the RL group than in the redo-open one (WMD = - 0.90; 95% CI - 1.04 to - 0.76; Z =  - 12,6; p < 0.001). A significantly lower risk of mortality was observed in the RL cohort (OR =  - 0.91; 95% CI - 1.58 to - 0.23; Z = - 2.62; p = 0.009).

CONCLUSIONS

Laparoscopy is a valid and effective approach for the treatment of complications following laparoscopic primary colorectal surgery thanks to it is well-established advantages over the open approach, which remain noticeable even in redo-surgeries.

Assessment of the Clinical Usefulness of Preoperative Computed Tomography in Colorectal Cancer Patients Who Received Unplanned Reoperation

Background

In the unplanned reoperation of colorectal cancer patients, computed tomography (CT) is increasingly utilized to locate postoperative complications and previously unlocalized lesions. The purpose of this study is to explore the application of CT in the mortality and complications of the reoperation of colorectal cancer. Patients and Methods. We performed a retrospective review of collected data from the colorectal surgeries of 90 identified colorectal cancer patients who received an unplanned reoperation from 2010 to 2018. Patients were stratified according to those with preoperative CT imaging (CT group, n = 36) and those without preoperative CT imaging (NCT group, n = 54). Twenty-four statistical indicators of each patient were studied, including their preoperative risk, surgical characteristics, and postoperative outcomes, and satisfaction was evaluated. All data were statistically analysed for predicting postoperative complications by univariate and multivariate logistic regression analyses.

Results

Ninety patients received an unplanned reoperation in the study, and 40% (36/90) of these patients underwent preoperative CT examination. Patients' risk factors were similar between CT and NCT groups. Preoperative imaging was more commonly performed for reoperative new anastomosis + ileostomy but less common for reoperative Dixon's procedure. The operative duration of the NCT group was longer (139 vs. 104 min, respectively, P = 0.01). Preoperative NCT examination (OR 1.24; 95% CI = 1.09-1.42; P = 0.01) was an independent predictor of postoperative complications. Importantly, three patients died after an unplanned reoperation for colorectal cancer, which occurred only in the NCT group (5.6% vs. 0.0%, P = 0.01).

Conclusion

The use of conventional preoperative CT optimizes the choice of the surgical site and the strategy of laparotomy, so as to reduce the length of operation. Preoperative imaging evaluation should be performed for patients undergoing repeat abdominal surgery.