Pelvic inlet shape measured by three-dimensional pelvimetry is a predictor of the operative time in the anterior resection of rectal cancer

Multi-Modal Machine Learning for Evaluating the Predictive Value of Pelvimetric Measurements (Pelvimetry) for Anastomotic Leakage After Restorative Low Anterior Resection

Background/Objectives: Anastomotic leakage (AL) remains a major complication after restorative rectal cancer surgery, with accurate preoperative risk stratification posing a significant challenge. Pelvic measurements derived from magnetic resonance imaging (MRI) have been proposed as potential predictors of AL, but their clinical utility remains uncertain. Methods: This retrospective, multicenter cohort study analyzed rectal cancer patients undergoing restorative surgery between 2013 and 2021. Pelvic dimensions were assessed using MRI-based pelvimetry. Univariate and multivariate regression analyses identified independent risk factors for AL. Subsequently, machine Learning (ML) models-logistic regression, random forest classifier, and XGBoost-were developed to predict AL using preoperative clinical data alone and in combination with pelvimetry. Model performance was evaluated using F1 scores, with the area under the receiver operating characteristic (ROC-AUC) and precision-recall curves (AUC-PR) as primary metrics. Results: Among 487 patients, the overall AL rate was 14%. Multivariate regression analysis identified distance to the anorectal junction, pelvic inlet width, and interspinous distance as independent risk factors for AL (p < 0.05). The logistic regression model incorporating pelvimetry achieved the highest predictive performance, with a mean ROC-AUC of 0.70 ± 0.09 and AUC-PR of 0.32 ± 0.10. Although predictive models that included pelvic measurements demonstrated higher ROC-AUCs compared to those without pelvimetry, the improvement was not statistically significant. Conclusions: Pelvic dimensions, specifically pelvic inlet and interspinous distance, were independently associated with an increased risk of AL. While ML models incorporating pelvimetry showed only moderate predictive performance, these measurements should be considered in developing clinical prediction tools for AL to enhance preoperative risk stratification.

Predictive model of the surgical difficulty of robot-assisted total mesorectal excision for rectal cancer: a multicenter, retrospective study

Rectal cancer robotic surgery is becoming more and more common, but evidence for predicting surgical difficulty is scarce. Our goal was to look at the elements that influence the complexity of robot-assisted total mesorectal excision (R-TME) in the medical care of middle and low rectal cancer as well as to establish and validate a predictive model on the basis of these factors. Within this multicenter retrospective investigation, 166 consecutive patients receiving R-TME between January 2021 and December 2022 with middle and low rectal cancer were included and categorized according to the median operation time. A nomogram was created to forecast the procedure's complexity after variables that could affect its difficulty were found using logistic regression analysis. Using R software, a total of 166 patients were randomly split into two groups: a test group (48 patients) and a training group (118 patients) at a ratio of 7 to 3. The median operation time of all patients was 207.5 min; patients whose operation time was ≥ 207.5 min were allocated to the difficult surgery group (83 patients), and patients whose operation time was < 207.5 min were allocated to the nondifficult surgery group. Multivariate analysis revealed that body mass index (BMI), the gap between the tumor and the anal verge and the posterior rectal mesenteric thickness were independent predictors of surgical duration. A clinical predictive model was created and assessed employing the above independent predictors. The results of the receiver operating characteristic (ROC) analysis revealed the adequate discriminative ability of the predictive model. Our study revealed that it is feasible to predict surgical difficulty by obtaining clinical and magnetic resonance parameters for imaging (the gap between the anal verge and the tumour, and posterior mesorectal thickness), and these predictions could be useful in making clinical decisions.

Construction of a nomogram model to predict technical difficulty in performing laparoscopic sphincter-preserving radical resection for rectal cancer

BACKGROUND

Colorectal surgeons are well aware that performing surgery for rectal cancer becomes more challenging in obese patients with narrow and deep pelvic cavities. Therefore, it is essential for colorectal surgeons to have a comprehensive understanding of pelvic structure prior to surgery and anticipate potential surgical difficulties.

AIM

To evaluate predictive parameters for technical challenges encountered during laparoscopic radical sphincter-preserving surgery for rectal cancer.

METHODS

We retrospectively gathered data from 162 consecutive patients who underwent laparoscopic radical sphincter-preserving surgery for rectal cancer. Three-dimensional reconstruction of pelvic bone and soft tissue parameters was conducted using computed tomography (CT) scans. Operative difficulty was categorized as either high or low, and multivariate logistic regression analysis was employed to identify predictors of operative difficulty, ultimately creating a nomogram.

RESULTS

Out of 162 patients, 21 (13.0%) were classified in the high surgical difficulty group, while 141 (87.0%) were in the low surgical difficulty group. Multivariate logistic regression analysis showed that the surgical approach using laparoscopic intersphincteric dissection, intraoperative preventive ostomy, and the sacrococcygeal distance were independent risk factors for highly difficult laparoscopic radical sphincter-sparing surgery for rectal cancer (P < 0.05). Conversely, the anterior-posterior diameter of pelvic inlet/sacrococcygeal distance was identified as a protective factor (P < 0.05). A nomogram was subsequently constructed, demonstrating good predictive accuracy (C-index = 0.834).

CONCLUSION

The surgical approach, intraoperative preventive ostomy, the sacrococcygeal distance, and the anterior-posterior diameter of pelvic inlet/sacrococcygeal distance could help to predict the difficulty of laparoscopic radical sphincter-preserving surgery.

Sexual dimorphism of the human fetal pelvis exists at the onset of primary ossification

Human adolescent and adult skeletons exhibit sexual dimorphism in the pelvis. However, the degree of sexual dimorphism of the human pelvis during prenatal development remains unclear. Here, we performed high-resolution magnetic resonance imaging-assisted pelvimetry on 72 human fetuses (males [M]: females [F], 34:38; 21 sites) with crown-rump lengths (CRL) of 50-225 mm (the onset of primary ossification). We used multiple regression analysis to examine sexual dimorphism with CRL as a covariate. Females exhibit significantly smaller pelvic inlet anteroposterior diameters (least squares mean, [F] 8.4 mm vs. [M] 8.8 mm, P = 0.036), larger subpubic angle ([F] 68.1° vs. [M] 64.0°, P = 0.034), and larger distance between the ischial spines relative to the transverse diameters of the greater pelvis than males. Furthermore, the sacral measurements indicate significant sex-CRL interactions. Our study suggests that sexual dimorphism of the human fetal pelvis is already apparent at the onset of primary ossification.

Study on sex differences and potential clinical value of three-dimensional computerized tomography pelvimetry in rectal cancer patients

BACKGROUND

Laparoscopic rectal cancer radical surgery is a complex procedure affected by various factors. However, the existing literature lacks standardized parameters for the pelvic region and soft tissues, which hampers the establishment of consistent conclusions.

AIM

To comprehensively assess 16 pelvic and 7 soft tissue parameters through computerized tomography (CT)-based three-dimensional (3D) reconstruction, providing a strong theoretical basis to address challenges in laparoscopic rectal cancer radical surgery.

METHODS

We analyzed data from 218 patients who underwent radical laparoscopic surgery for rectal cancer, and utilized CT data for 3D pelvic reconstruction. Specific anatomical points were carefully marked and measured using advanced 3D modeling software. To analyze the pelvic and soft tissue parameters, we employed statistical methods including paired sample t-tests, Wilcoxon rank-sum tests, and correlation analysis.

RESULTS

The investigation highlighted significant sex disparities in 14 pelvic bone parameters and 3 soft tissue parameters. Males demonstrated larger measurements in pelvic depth and overall curvature, smaller measurements in pelvic width, a larger mesorectal fat area, and a larger anterior-posterior abdominal diameter. By contrast, females exhibited wider pelvises, shallower depth, smaller overall curvature, and an increased amount of subcutaneous fat tissue. However, there were no significant sex differences observed in certain parameters such as sacral curvature height, superior pubococcygeal diameter, rectal area, visceral fat area, waist circumference, and transverse abdominal diameter.

CONCLUSION

The reconstruction of 3D CT data enabled accurate pelvic measurements, revealing significant sex differences in both pelvic and soft tissue parameters. This study design offer potential in predicting surgical difficulties and creating personalized surgical plans for male rectal cancer patients with a potentially "difficult pelvis", ultimately improving surgical outcomes. Further research and utilization of these parameters could lead to enhanced surgical methods and patient care in laparoscopic rectal cancer radical surgery.

Interpretable machine learning model to predict surgical difficulty in laparoscopic resection for rectal cancer

Background

Laparoscopic total mesorectal excision (LaTME) is standard surgical methods for rectal cancer, and LaTME operation is a challenging procedure. This study is intended to use machine learning to develop and validate prediction models for surgical difficulty of LaTME in patients with rectal cancer and compare these models' performance.

Methods

We retrospectively collected the preoperative clinical and MRI pelvimetry parameter of rectal cancer patients who underwent laparoscopic total mesorectal resection from 2017 to 2022. The difficulty of LaTME was defined according to the scoring criteria reported by Escal. Patients were randomly divided into training group (80%) and test group (20%). We selected independent influencing features using the least absolute shrinkage and selection operator (LASSO) and multivariate logistic regression method. Adopt synthetic minority oversampling technique (SMOTE) to alleviate the class imbalance problem. Six machine learning model were developed: light gradient boosting machine (LGBM); categorical boosting (CatBoost); extreme gradient boost (XGBoost), logistic regression (LR); random forests (RF); multilayer perceptron (MLP). The area under receiver operating characteristic curve (AUROC), accuracy, sensitivity, specificity and F1 score were used to evaluate the performance of the model. The Shapley Additive Explanations (SHAP) analysis provided interpretation for the best machine learning model. Further decision curve analysis (DCA) was used to evaluate the clinical manifestations of the model.

Results

A total of 626 patients were included. LASSO regression analysis shows that tumor height, prognostic nutrition index (PNI), pelvic inlet, pelvic outlet, sacrococcygeal distance, mesorectal fat area and angle 5 (the angle between the apex of the sacral angle and the lower edge of the pubic bone) are the predictor variables of the machine learning model. In addition, the correlation heatmap shows that there is no significant correlation between these seven variables. When predicting the difficulty of LaTME surgery, the XGBoost model performed best among the six machine learning models (AUROC=0.855). Based on the decision curve analysis (DCA) results, the XGBoost model is also superior, and feature importance analysis shows that tumor height is the most important variable among the seven factors.

Conclusions

This study developed an XGBoost model to predict the difficulty of LaTME surgery. This model can help clinicians quickly and accurately predict the difficulty of surgery and adopt individualized surgical methods.

Establishment of Surgical Difficulty Grading System and Application of MRI-Based Artificial Intelligence to Stratify Difficulty in Laparoscopic Rectal Surgery

(1) Background: The difficulty of pelvic operation is greatly affected by anatomical constraints. Defining this difficulty and assessing it based on conventional methods has some limitations. Artificial intelligence (AI) has enabled rapid advances in surgery, but its role in assessing the difficulty of laparoscopic rectal surgery is unclear. This study aimed to establish a difficulty grading system to assess the difficulty of laparoscopic rectal surgery, as well as utilize this system to evaluate the reliability of pelvis-induced difficulties described by MRI-based AI. (2) Methods: Patients who underwent laparoscopic rectal surgery from March 2019 to October 2022 were included, and were divided into a non-difficult group and difficult group. This study was divided into two stages. In the first stage, a difficulty grading system was developed and proposed to assess the surgical difficulty caused by the pelvis. In the second stage, AI was used to build a model, and the ability of the model to stratify the difficulty of surgery was evaluated at this stage, based on the results of the first stage; (3) Results: Among the 108 enrolled patients, 53 patients (49.1%) were in the difficult group. Compared to the non-difficult group, there were longer operation times, more blood loss, higher rates of anastomotic leaks, and poorer specimen quality in the difficult group. In the second stage, after training and testing, the average accuracy of the four-fold cross validation models on the test set was 0.830, and the accuracy of the merged AI model was 0.800, the precision was 0.786, the specificity was 0.750, the recall was 0.846, the F1-score was 0.815, the area under the receiver operating curve was 0.78 and the average precision was 0.69; (4) Conclusions: This study successfully proposed a feasible grading system for surgery difficulty and developed a predictive model with reasonable accuracy using AI, which can assist surgeons in determining surgical difficulty and in choosing the optimal surgical approach for rectal cancer patients with a structurally difficult pelvis.

Advances in pelvic imaging parameters predicting surgical difficulty in rectal cancer

Due to the fixed bony structure of the pelvis, the pelvic operation space is limited, complicating the surgical operation of rectal cancer, especially middle and low rectal cancer. The closer the tumor is to the anal verge, the smaller the operative field and operating space, the longer the operative time, and the greater the incidence of intraoperative side injuries and postoperative complications. To date, there is still no clear definition of a difficult pelvis that affects the surgical operation of rectal cancer. Few related research reports exist in the literature, and views on this aspect are not the same between countries. Therefore, it is particularly important to predict the difficulty of rectal cancer surgery in a certain way before surgery and to select the surgical method most suitable for each case during the treatment of rectal cancer.

Can CT Pelvimetry Be Used to Predict Circumferential Resection Margin Positivity in Laparoscopic Resection of Middle and Lower Rectum Cancer?

Background Previous studies have shown that pelvimetry can be valuable in predicting surgical difficulties in rectal cancer operations. However, its usability in predicting circumferential resection margin (CRM) involvement remains debatable. This study investigated the factors affecting CRM status and the importance of computed tomography (CT) pelvimetry in predicting CRM involvement in laparoscopic resection of middle and lower rectal cancer. Methodology In this study, we retrospectively investigated the data of 111 patients who underwent a laparoscopic operation for middle and lower rectum cancer at Ankara University Faculty of Medicine, Department of Surgical Oncology between January 2014 and January 2020. The predictive value of CT pelvimetry and other variables on the CRM status was analyzed. Results The following four pelvic parameters differed significantly between the genders: transverse diameter of the pelvic inlet (p = 0.024), anteroposterior diameter of the pelvic outlet (p = 0.003), transverse diameter of the pelvic outlet (p < 0.001), and pelvic depth (p < 0.001). The effect of pelvic anatomic parameters on CRM involvement was not found to be significant. It was found that tumor height from the anal verge (p = 0.004), tumor size (p < 0.001), and gender (p = 0.033) were significant risk factors for CRM involvement. Survival was poor in patients with male gender (p = 0.032), perineural invasion (p < 0.001), and grade 3 tumor. Conclusions In this study, no benefit was found in predicting CRM positivity from CT pelvimetry in the laparoscopic resection of middle and lower rectal cancer. Besides, tumor height from the anal verge, tumor size, and gender were important factors for CRM positivity. Although our study sheds light on this issue, prospective randomized studies with larger sample sizes are needed.

Interischial Spine Distance Is a Simple Index of the Narrow Pelvis That Can Predict Difficulty During Laparoscopic Low Anterior Resection

BACKGROUND

A narrow pelvis makes laparoscopic rectal resection difficult. This study aimed to evaluate whether a simple measurement on computed tomography can predict procedural difficulty.

METHODS

A total of 62 patients with low rectal cancer underwent conventional laparoscopic low anterior resection. The interischial spine (IS) distance (ie, the distance between the ischial spines) was measured on an axial computed tomography slice. The operative time, blood loss, and time from the insertion of linear staplers to completion of clamping on the distal end of the rectum (clamp time) were compared between patients with narrow or wide pelvises.

RESULTS

Overall, 42 men and 20 women with low rectal cancer were assessed. The mean tumor size was 34.5 mm. Total or tumor-specific mesorectal excisions were performed in all cases; high ligation and resection of the inferior mesenteric arteries were carried out in 92% of patients. The mean operative time and blood loss were 206 minutes and 15 mL, respectively. Four patients (6.5%) experienced postoperative complications, including 2 anastomotic leaks (3.2%). The mean IS distance was 93.3 mm. In simple linear regression analysis, a shorter IS distance correlated with a longer operative time (R2=0.08, P=0.030) and the clamp time (R2=0.07, P=0.046). Using a receiver operating characteristic curve, a narrow pelvis was defined as an IS distance <94.7 mm. Multivariate regression analysis revealed that an IS distance <94.7 mm (odds ratio: 3.51; P=0.04) was independently associated with a longer clamp time.

CONCLUSIONS

The IS distance is a simple and useful measurement for predicting the difficulty of laparoscopic low anterior resection.

An MRI-based pelvimetry nomogram for predicting surgical difficulty of transabdominal resection in patients with middle and low rectal cancer

Objective

The current work aimed to develop a nomogram comprised of MRI-based pelvimetry and clinical factors for predicting the difficulty of rectal surgery for middle and low rectal cancer (RC).

Methods

Consecutive mid to low RC cases who underwent transabdominal resection between June 2020 and August 2021 were retrospectively enrolled. Univariable and multivariable logistic regression analyses were carried out for identifying factors (clinical factors and MRI-based pelvimetry parameters) independently associated with the difficulty level of rectal surgery. A nomogram model was established with the selected parameters for predicting the probability of high surgical difficulty. The predictive ability of the nomogram model was assessed by the receiver operating characteristic (ROC) curve and decision curve analysis (DCA).

Results

A total of 122 cases were included. BMI (OR = 1.269, p = 0.006), pelvic inlet (OR = 1.057, p = 0.024) and intertuberous distance (OR = 0.938, p = 0.001) independently predicted surgical difficulty level in multivariate logistic regression analysis. The nomogram model combining these predictors had an area under the ROC curve (AUC) of 0.801 (95% CI: 0.719–0.868) for the prediction of a high level of surgical difficulty. The DCA suggested that using the nomogram to predict surgical difficulty provided a clinical benefit.

Conclusions

The nomogram model is feasible for predicting the difficulty level of rectal surgery, utilizing MRI-based pelvimetry parameters and clinical factors in mid to low RC cases.

Magnetic resonance imaging pelvimetry predicts the technical difficulty of rectal surgery

BACKGROUND

The relationships between the pelvimetry and technical difficulties in performing rectal surgery for mid-low rectal cancer remain unclear.

METHODS

Two hundred and twenty-one cases of mid-low rectal cancer patients who underwent sphincter-preserved total mesorectum excision (TME) were analyzed. The data of the pelvimetry and the relative position between trocar site and tumor were measured with magnetic resonance imaging (MRI).

RESULTS

Univariate analysis showed that the interspinous diameter, the sacrococcygeal distance, and the angle of sacral promontory inclination were significantly associated with the technical difficulty during laparoscopic surgery, but only the interspinous diameter remained an independent risk factor in multivariate analysis. The simulated trocar angle θ was an independent risk factor affecting the operation time during laparoscopic surgery, simulated trocar angle η was significantly related to intraoperative blood loss in both laparoscopic surgery and transanal TME (taTME) surgery groups.

CONCLUSION

Interspinous diameter can predict difficulty in laparoscopic surgery and may provide useful information for preoperative planning and consideration of approach.

3D pelvimetry and biometric measurements: a surgical perspective for colorectal resections

PURPOSE

Male sex, high BMI, narrow pelvis, and bulky mesorectum were acknowledged as clinical variables correlated with a difficult pelvic dissection in colorectal surgery. This paper aimed at comparing pelvic biometric measurements in female and male patients and at providing a perspective on how pelvimetry segmentation may help in visualizing mesorectal distribution.

METHODS

A 3D software was used for segmentation of DICOM data of consecutive patients aged 60 years, who underwent elective abdominal CT scan. The following measurements were estimated: pelvic inlet, outlet, and depth; pubic tubercle height; distances from the promontory to the coccyx and to S3/S4; distance from S3/S4 to coccyx's tip; ischial spines distance; pelvic tilt; offset angle; pelvic inlet angle; angle between the inlet/sacral promontory/coccyx; angle between the promontory/coccyx/pelvic outlet; S3 angle; and pelvic inlet to pelvic depth ratio. The measurements were compared in males and females using statistical analyses.

RESULTS

Two-hundred patients (M/F 1:1) were analyzed. Out of 21 pelvimetry measurements, 19 of them documented a significant mean difference between groups. Specifically, female patients had a significantly wider pelvic inlet and outlet but a shorter pelvic depth, and promontory/sacral/coccyx distances, resulting in an augmented inlet/depth ratio when comparing with males (p < 0.0001). The sole exceptions were the straight conjugate (p = 0.06) and S3 angle (p = 0.17). 3D segmentation provided a perspective of the mesorectum distribution according to the pelvic shape.

CONCLUSION

Significant differences in the structure of pelvis exist in males and females. Surgeons must be aware of the pelvic shape when approaching the rectum.

Pelvic dimension as a predictor of ureteral injury in gynecological cancer surgeries

BACKGROUND

Ureteral injury is an intractable complication in gynecological cancer surgeries. Identifying risk factors can ensure safety of the ureters intraoperatively. A narrow pelvis is known to exert extra difficulties in pelvic surgeries. However, whether pelvic dimension can affect the risk of ureteral injury in gynecological cancer surgeries is poorly understood. We aimed to evaluate the association between pelvic dimension and the risk of ureteral injury during gynecological cancer surgeries.

METHODS

All patients who had undergone gynecological cancer surgeries were searched from January 2011 to July 2017. We included patients with ureteral injury who had available data of abdominal and pelvic computed tomography for measuring pelvic dimensions. Multivariate condition logistic analysis was used to identify the risk factors independently correlated with ureteral injury in gynecological cancer surgeries.

RESULTS

A total of 43 cases with 86 controls were included in this study. We discovered that a longer anteroposterior diameter of the mid-pelvis (odds ratio [OR] 1.07, 95% confidence interval [CI] 1.01-1.13, P = 0.019) and a shorter transverse diameter of the mid-pelvis (OR 0.92, 95% CI 0.86-0.98, P = 0.013) were associated with ureteral injury in gynecological cancer surgeries. In laparoscopic analysis, a longer anteroposterior diameter of the mid-pelvis (OR 1.11, 95% CI 1.00-1.24, P = 0.041) was a risk factor for ureteral injury. In the analysis of open surgery, a longer transverse diameter of the mid-pelvis (OR 0.79, 95% CI 0.66-0.93, P = 0.006) was a protective factor for ureteral injury.

CONCLUSIONS

This study demonstrated that mid-pelvis dimensions were associated with ureteral injury, but the observed differences were too small. In addition, pelvic inlet dimensions did not appear to relate with ureteral injury. Thus, these pelvimetry measures could not be beneficial in assessing the risk of ureteral injury in gynecological cancer surgeries.

Sacrococcygeal dimensions and curvature are associated with resection quality in rectal cancer excision

BACKGROUND

Technical factors affect oncologic outcomes in rectal cancer surgery. The anatomy of the bony pelvis can affect technical aspects of surgery, but is seldom considered preoperatively. We performed a morphometric analysis of the bony pelvis in patients having rectal cancer resection to assess its effect on surgical specimen quality.

METHODS

We performed a retrospective analysis of a prospectively maintained database of patients who had resection for rectal cancer from January 2014 to December 2017. Preoperative magnetic resonance imaging (MRI) and computed tomography (CT) images were accessed and measurements of sacrococcygeal distance, sacrococcygeal recess depth/area, sacrococcygeal angulation, anteroposterior pelvic inlet/outlet, pubic height and interspinous distance were made. Outcome measures included anatomical variation, operating time and mesorectal specimen grade. In patients having extra-levator abdominoperineal excision (eLAPE) with coccygectomy, the completeness of coccygeal resection was assessed by postoperative CT scan. Data were analysed using binomial and multinomial logistic regression and linear regression.

RESULTS

One hundred and twenty-two consecutive rectal cancer resections were performed (39 open, 42 laparoscopic, 12 laparoscopic-converted and 29 robotic). The median age was 72 years (range: 29-88 years). The male:female ratio was 83:39. Eighty-one patients had anterior resection, 8 had low Hartmann's resection and 32 had APE. Of those who had APE, 21 had eLAPE (all with coccygectomy). Females had a larger pelvic inlet (female: 124.9 mm, male: 114.9 mm), interspinous diameter(female:112.8 mm, male:97.6 mm), sacrococcygeal depth (female:42.6 mm, 39.35 mm) and sacrococcygeal area recess than males (female: 3697 mm², male: 3481.5 mm²). Males had a greater pubic height (female: 51.8 mm, male: 54.05 mm) and greater sacrococcygeal distance (female: 116.7 mm, male: 123.65 mm) than females. In patients having anterior resection, tumour distance from the anal verge (p = 0.004), sacrococcygeal distance (p = 0.006) and sacrococcygeal curvature (p = 0.002) were associated with specimen quality. In patients who had eLAPE, median preoperative coccygeal length was 41 mm (IQR: 35.1-45.5). The median length of coccygeal resection was 9 mm (IQR: 1-17.45 mm). The median length of coccyx remaining postoperatively was 33 mm (IQR: 21.35-39 mm).

CONCLUSIONS

Sacrococcygeal curvature and distance as well as tumour distance from the anal margin were associated with specimen quality in anterior resection. Coccygectomy was not performed as completely as surgeons thought. Surgeons should include sacrococcygeal bony anatomy in rectal cancer surgical planning to potentially improve outcomes in both anterior resection and eLAPE approaches.

Impact of pelvic dimensions on anastomotic leak after anterior resection for patients with rectal cancer

AIM

The impact of pelvis on the development of anastomotic leak (AL) in rectal cancer (RC) patients who underwent anterior resection (AR) remains unclear. The aim of this study was to evaluate the impact of pelvic dimensions on the risk of AL.

METHODS

A total of 1058 RC patients undergoing AR from January 2013 to January 2016 were enrolled. Pelvimetric parameters were obtained using abdominopelvic computed tomography scans.

RESULTS

Univariate analyses showed that pelvic inlet, pelvic outlet, interspinous distance, and intertuberous distance were significantly associated with the risk for AL (P < 0.05). Multivariate analysis confirmed that pelvic inlet and intertuberous distance were independent risk factors for AL (P < 0.05). Significant factors from multivariate analysis were assembled into the nomogram A (without pelvic dimensions) and nomogram B (with pelvic dimensions). The area under curve (AUC) of nomogram B was 0.72 (95% CI 0.67-0.77), which was better than the AUC of nomogram A (0.69, [95% CI 0.65-0.74]), but didn't reach a statistical significance (P = 0.199). Decision curve supported that nomogram B was better than nomogram A.

CONCLUSION

Pelvic dimensions, specifically pelvic inlet and intertuberous distance, seemed to be independent predictors for postoperative AL in RC patients. Pelvic inlet and intertuberous distance incorporated with preoperative radiotherapy, preoperative albumin, conversion, and tumor diameter in the nomogram might provide a clinical tool for predicting AL.

Factors Predicting Operative Difficulty of Laparoscopic Total Mesorectal Excision

BACKGROUND

Laparoscopic total mesorectal excision is a challenging procedure requiring high-quality surgery for optimal outcomes. Patient, tumor, and pelvic factors are believed to determine difficulty, but previous studies were limited to postoperative data.

OBJECTIVE

This study aimed to report factors predicting laparoscopic total mesorectal excision performance by using objective intraoperative assessment.

DESIGN

Data from a multicenter laparoscopic total mesorectal excision randomized trial (ISRCTN59485808) were reviewed.

SETTING

This study was conducted at 4 centers in the United Kingdom.

PATIENTS AND INTERVENTION

Seventy-one patients underwent elective laparoscopic total mesorectal excision for rectal adenocarcinoma with curative intent: 53% were men, mean age was 69 years, body mass index was 27.7, tumor height was 8.5 cm, 24% underwent neoadjuvant therapy, and 25% had previous surgery.

MAIN OUTCOME MEASURES

Surgical performance was assessed through the identification of intraoperative adverse events by using observational clinical human reliability analysis. Univariate analysis and multivariate binomial regression were performed to establish factors predicting the number of intraoperative errors, surgeon-reported case difficulty, and short-term clinical and histopathological outcomes.

RESULTS

A total of 1331 intraoperative errors were identified from 365 hours of surgery (median, 18 per case; interquartile range, 16-22; and range, 9-49). No patient, tumor, or bony pelvimetry measurement correlated with total or pelvic error count, surgeon-reported case difficulty, cognitive load, operative data, specimen quality, number or severity of 30-day morbidity events and length of stay (all r not exceeding ±0.26, p > 0.05). Mesorectal area was associated with major intraoperative adverse events (OR, 1.09; 95%CI, 1.01-1.16; p = 0.015) and postoperative morbidity (OR, 1.1; 95% CI, 1.01-1.2; p = 0.033). Obese men were subjectively reported as harder cases (24 vs 36 mm, p = 0.042), but no detrimental effects on performance or outcomes were seen.

LIMITATIONS

Our sample size is modest, risking type II errors and overfitting of the statistical models.

CONCLUSION

Patient, tumor, and bony pelvic anatomical characteristics are not seen to influence laparoscopic total mesorectal excision operative difficulty. Mesorectal area is identified as a risk factor for intraoperative and postoperative morbidity. See Video Abstract at http://links.lww.com/DCR/B35. FACTORES QUE PREDICEN LA DIFICULTAD OPERATIVA DE LA ESCISIÓN MESORRECTAL TOTAL LAPAROSCÓPICA: La escisión mesorrectal total laparoscópica es un procedimiento desafiante. Para obtener resultados óptimos, se requiere cirugía de alta calidad. Se cree que, factores como el paciente, el tumor y la pelvis, determinan la dificultad, pero estudios previos solamente se han limitado a datos postoperatorios.Informar de los factores que predicen el resultado de la escisión mesorrectal total laparoscópica, mediante una evaluación intraoperatoria objetiva.Datos de un ensayo multicéntrico y randomizado de escisión mesorrectal total laparoscópica (ISRCTN59485808).Cuatro centros del Reino Unido.Un total de 71 pacientes fueron sometidos a escisión mesorrectal total laparoscópica electiva, para adenocarcinoma rectal con intención curativa. 53% hombres, edad media, índice de masa corporal y altura del tumor 69, 27.7 y 8.5 cm respectivamente, 24% terapia neoadyuvante y 25% cirugía previa.Rendimiento quirúrgico evaluado mediante la identificación de eventos intraoperatorios adversos, mediante el análisis clínico observacional de confiabilidad humana. Se realizaron análisis univariado y la regresión binomial multivariada para establecer factores que predicen el número de errores intraoperatorios, reportes del cirujano sobre la dificultad del caso y los resultados clínicos e histopatológicos a corto plazo.Se identificaron un total de 1,331 errores intraoperatorios en 365 horas de cirugía (media de 18 por caso, IQR 16-22, rango 9-49). Ningún paciente, tumor o medición de pelvimetría pélvica, se correlacionó con la cuenta de errores pélvicos o totales, reporte del cirujano sobre dificultad del caso, carga cognitiva, datos operativos, calidad de la muestra, número o gravedad de eventos de morbilidad de 30 días y duración de la estadía (todos r <± 0.26, p > 0.05). El área mesorrectal se asoció con eventos adversos intraoperatorios importantes (OR, 1.09; IC 95%, 1.01-1.16; p = 0.015) y morbilidad postoperatoria (OR, 1.1; IC 95%, 1.01-1.2; p = 0.033). Como información subjetiva, hombres obesos fueron casos más difíciles (24 mm frente a 36 mm, p = 0.042) pero no se observaron efectos perjudiciales sobre el rendimiento o los resultados.Nuestro tamaño de muestra es un modesto riesgo de errores de tipo II y el sobreajuste de los modelos estadísticos.No se observa que las características anatómicas del paciente, tumor y pelvis ósea influyan en la dificultad operatoria de la escisión mesorrectal laparoscópica total. El área mesorrectal se identifica como un factor de riesgo para la morbilidad intraoperatoria y postoperatoria. Vea el resumen del video en http://links.lww.com/DCR/B35.