Performance and clinical applicability of machine learning in liver computed tomography imaging: a systematic review.

OBJECTIVES: Machine learning (ML) for medical imaging is emerging for several organs and image modalities. Our objectives were to provide clinicians with an overview of this field by answering the following questions: (1) How is ML applied in liver computed tomography (CT) imaging? (2) How well do ML systems perform in liver CT imaging? (3) What are the clinical applications of ML in liver CT imaging? METHODS: A systematic review was carried out according to the guidelines from the PRISMA-P statement. The search string focused on studies containing content relating to artificial intelligence, liver, and computed tomography. RESULTS: One hundred ninety-one studies were included in the study. ML was applied to CT liver imaging by image analysis without clinicians' intervention in majority of studies while in newer studies the fusion of ML method with clinical intervention have been identified. Several were documented to perform very accurately on reliable but small data. Most models identified were deep learning-based, mainly using convolutional neural networks. Potentially many clinical applications of ML to CT liver imaging have been identified through our review including liver and its lesion segmentation and classification, segmentation of vascular structure inside the liver, fibrosis and cirrhosis staging, metastasis prediction, and evaluation of chemotherapy. CONCLUSION: Several studies attempted to provide transparent result of the model. To make the model convenient for a clinical application, prospective clinical validation studies are in urgent call. Computer scientists and engineers should seek to cooperate with health professionals to ensure this. KEY POINTS: • ML shows great potential for CT liver image tasks such as pixel-wise segmentation and classification of liver and liver lesions, fibrosis staging, metastasis prediction, and retrieval of relevant liver lesions from similar cases of other patients. • Despite presenting the result is not standardized, many studies have attempted to provide transparent results to interpret the machine learning method performance in the literature. • Prospective studies are in urgent call for clinical validation of ML method, preferably carried out by cooperation between clinicians and computer scientists.

Group-based multimodal physical therapy in women with chronic pelvic pain: A randomized controlled trial.

INTRODUCTION: Chronic pelvic pain in women is a complex condition, and physical therapy is recommended as part of a broader treatment approach. The objective of this study was to compare structured group-based multimodal physical therapy in a hospital setting (intervention group) with primary-care physical therapy (comparator group) for women with chronic pelvic pain. MATERIAL AND METHODS: Women aged 20-65 years with pelvic pain ≥6 months and referred for physical therapy were eligible. The primary outcome measure was change in the mean pelvic pain intensity from baseline to 12 months, measured using the numeric rating scale (0-10). Secondary outcomes were changes in scores of "worst" and "least" pain intensity, health-related quality of life, movement patterns, pain-related fear of movements, anxiety and depression, subjective health complaints, sexual function, incontinence, and obstructed defecation. The differences between the groups regarding change in scores were analyzed using the independent t test and Mann-Whitney U test. Sensitivity analysis of the primary outcome was performed with a linear regression model adjusted for the baseline value. A P value <.05 was considered statistically significant. RESULTS: Of the 62 women included, 26 in the intervention group and 25 in the comparator group were available after 12 months for data collection and analysis. The difference between the groups for change in the mean pain intensity score was -1.2 (95% CI -2.3 to -0.2; P = .027), favoring the intervention group. The intervention group showed greater improvements in respiratory patterns (mean difference 0.9; 95% CI 0.2-1.6; P = .015) and pain-related fear of movements (mean difference 2.9; 95% CI -5.5 to -0.3; P = .032), and no significant differences were observed between the groups for the other secondary outcomes. CONCLUSIONS: Although the reduction in the mean pelvic pain intensity with group-based multimodal physical therapy was significantly more than with primary-care physical therapy, the difference in the change between the groups was less than expected and the clinical relevance is uncertain.

Using anchors from free text in electronic health records to diagnose postoperative delirium.

OBJECTIVES: Postoperative delirium is a common complication after major surgery among the elderly. Despite its potentially serious consequences, the complication often goes undetected and undiagnosed. In order to provide diagnosis support one could potentially exploit the information hidden in free text documents from electronic health records using data-driven clinical decision support tools. However, these tools depend on labeled training data and can be both time consuming and expensive to create. METHODS: The recent learning with anchors framework resolves this problem by transforming key observations (anchors) into labels. This is a promising framework, but it is heavily reliant on clinicians knowledge for specifying good anchor choices in order to perform well. In this paper we propose a novel method for specifying anchors from free text documents, following an exploratory data analysis approach based on clustering and data visualization techniques. We investigate the use of the new framework as a way to detect postoperative delirium. RESULTS: By applying the proposed method to medical data gathered from a Norwegian university hospital, we increase the area under the precision-recall curve from 0.51 to 0.96 compared to baselines. CONCLUSIONS: The proposed approach can be used as a framework for clinical decision support for postoperative delirium.

Analysis of free text in electronic health records for identification of cancer patient trajectories.

With an aging patient population and increasing complexity in patient disease trajectories, physicians are often met with complex patient histories from which clinical decisions must be made. Due to the increasing rate of adverse events and hospitals facing financial penalties for readmission, there has never been a greater need to enforce evidence-led medical decision-making using available health care data. In the present work, we studied a cohort of 7,741 patients, of whom 4,080 were diagnosed with cancer, surgically treated at a University Hospital in the years 2004-2012. We have developed a methodology that allows disease trajectories of the cancer patients to be estimated from free text in electronic health records (EHRs). By using these disease trajectories, we predict 80% of patient events ahead in time. By control of confounders from 8326 quantified events, we identified 557 events that constitute high subsequent risks (risk > 20%), including six events for cancer and seven events for metastasis. We believe that the presented methodology and findings could be used to improve clinical decision support and personalize trajectories, thereby decreasing adverse events and optimizing cancer treatment.

Predicting colorectal surgical complications using heterogeneous clinical data and kernel methods.

OBJECTIVE: In this work, we have developed a learning system capable of exploiting information conveyed by longitudinal Electronic Health Records (EHRs) for the prediction of a common postoperative complication, Anastomosis Leakage (AL), in a data-driven way and by fusing temporal population data from different and heterogeneous sources in the EHRs. MATERIAL AND METHODS: We used linear and non-linear kernel methods individually for each data source, and leveraging the powerful multiple kernels for their effective combination. To validate the system, we used data from the EHR of the gastrointestinal department at a university hospital. RESULTS: We first investigated the early prediction performance from each data source separately, by computing Area Under the Curve values for processed free text (0.83), blood tests (0.74), and vital signs (0.65), respectively. When exploiting the heterogeneous data sources combined using the composite kernel framework, the prediction capabilities increased considerably (0.92). Finally, posterior probabilities were evaluated for risk assessment of patients as an aid for clinicians to raise alertness at an early stage, in order to act promptly for avoiding AL complications. DISCUSSION: Machine-learning statistical model from EHR data can be useful to predict surgical complications. The combination of EHR extracted free text, blood samples values, and patient vital signs, improves the model performance. These results can be used as a framework for preoperative clinical decision support.

Support Vector Feature Selection for Early Detection of Anastomosis Leakage From Bag-of-Words in Electronic Health Records.

The free text in electronic health records (EHRs) conveys a huge amount of clinical information about health state and patient history. Despite a rapidly growing literature on the use of machine learning techniques for extracting this information, little effort has been invested toward feature selection and the features' corresponding medical interpretation. In this study, we focus on the task of early detection of anastomosis leakage (AL), a severe complication after elective surgery for colorectal cancer (CRC) surgery, using free text extracted from EHRs. We use a bag-of-words model to investigate the potential for feature selection strategies. The purpose is earlier detection of AL and prediction of AL with data generated in the EHR before the actual complication occur. Due to the high dimensionality of the data, we derive feature selection strategies using the robust support vector machine linear maximum margin classifier, by investigating: 1) a simple statistical criterion (leave-one-out-based test); 2) an intensive-computation statistical criterion (Bootstrap resampling); and 3) an advanced statistical criterion (kernel entropy). Results reveal a discriminatory power for early detection of complications after CRC (sensitivity 100%; specificity 72%). These results can be used to develop prediction models, based on EHR data, that can support surgeons and patients in the preoperative decision making phase.

What device should be used for telementoring? Randomized controlled trial.

BACKGROUND AND OBJECTIVE: The paper analyzes behavioral patterns of mentors while using different mentoring devices to demonstrate the feasibility of multi-platform mentoring. The fundamental differences of devices supporting telementoring create threats for the perception and interpretation of the transmitted video, highlighting the necessity of exploring hardware usability aspects in a safety critical surgical mentoring scenario. MATERIALS AND METHODS: Three types of devices, based on the screen size, formed the arms for the randomized controlled trial. Streaming video recordings of a laparoscopic procedure to the mentors imitated the mentoring scenario. User preferences and response times were recorded while participating in a session performed on all devices. RESULTS: Median response to a mentoring request times were similar for mobile platforms; expected durations were considerably longer for stationary computer. Ability to perceive and identify anatomical structures was insignificantly lower on small sized devices. Stationary and tablet platforms were nearly equally preferred by the most of participants as default telementoring hardware. DISCUSSION: As a side effect, incompatibility of daily duties of the surgeons in the hospital and telementoring responsibilities while implementing systems locally was identified. Scaling up the use of the service in combination with the organizational changes of clinical staff looks like a promising solution. CONCLUSION: The trial demonstrated the feasibility of using all three types of devices for the purpose of mentoring, allowing users to choose the preferred platform. The paper provided initial results on the quality assurance of telementoring systems imposed by the regulatory documents.

Nationwide improvement of rectal cancer treatment outcomes in Norway, 1993-2010.

BACKGROUND: The Norwegian Rectal Cancer Project was initated in 1993 with the aims of improving surgery, decreasing local recurrence rates, improving survival, and establishing a national rectal cancer registry. Here we present results from the Norwegian Colorectal Cancer Registry (NCCR) from 1993 to 2010. MATERIAL AND METHODS: A total of 15 193 patients were diagnosed with rectal cancer in Norway 1993-2010, and were registered with clinical data regarding diagnosis, treatment, locoregional recurrences and distant metastases. Of these, 10 796 with non-metastatic disease underwent tumour resection. The results were stratified into five time periods, and the treatment outcomes were compared. Recurrence rates are presented for the 9785 patients who underwent curative major resection (R0/R1). RESULTS: Among all 15 193 patients, relative five-year survival increased from 54.1% in 1993-1997 to 63.4% in 2007-2010 (p < 0.001). Among the 10 796 patients with stage I-III disease who underwent tumour resection, from 1993-1997 to 2007-2010, relative five-year survival improved from 71.2% to 80.6% (p < 0.001). An increasing proportion of these patients underwent surgery at large-volume hospitals; and 30- and 100-day mortality rates, respectively, decreased from 3.0% to 1.4% (p < 0.001) and from 5.1% to 3.0% (p < 0.011). Use of preoperative chemoradiotherapy increased from 6.5% in 1993 to 39.0% in 2010 (p < 0.001). Estimated local recurrence rate after major resection (R0/R1) decreased from 14.5% in 1993-1997 to 5.0% in 2007-2009 (p < 0.001), and distant recurrence rate decreased from 26.0% to 20.2% (p < 0.001). CONCLUSION: Long-term outcomes from a national population-based rectal cancer registry are presented. Improvements in rectal cancer treatment have led to decreased recurrence rates of 5% and increased survival on a national level.

Data-driven Temporal Prediction of Surgical Site Infection.

Analysis of data from Electronic Health Records (EHR) presents unique challenges, in particular regarding nonuniform temporal resolution of longitudinal variables. A considerable amount of patient information is available in the EHR - including blood tests that are performed routinely during inpatient follow-up. These data are useful for the design of advanced machine learning-based methods and prediction models. Using a matched cohort of patients undergoing gastrointestinal surgery (101 cases and 904 controls), we built a prediction model for post-operative surgical site infections (SSIs) using Gaussian process (GP) regression, time warping and imputation methods to manage the sparsity of the data source, and support vector machines for classification. For most blood tests, wider confidence intervals after imputation were obtained in patients with SSI. Predictive performance with individual blood tests was maintained or improved by joint model prediction, and non-linear classifiers performed consistently better than linear models.

Implementation of an electronic surgical referral service. Collaboration, consensus and cost of the surgeon - general practitioner Delphi approach.

BACKGROUND: Poor coordination between levels of care plays a central role in determining the quality and cost of health care. To improve patient coordination, systematic structures, guidelines, and processes for creating, transferring, and recognizing information are needed to facilitate referral routines. METHODS: Prospective observational survey of implementation of electronic medical record (EMR)-supported guidelines for surgical treatment. RESULTS: One university clinic, two local hospitals, 31 municipalities, and three EMR vendors participated in the implementation project. Surgical referral guidelines were developed using the Delphi method; 22 surgeons and seven general practitioners (GPs) needed 109 hours to reach consensus. Based on consensus guidelines, an electronic referral service supported by a clinical decision support system, fully integrated into the GPs' EMR, was developed. Fifty-five information technology personnel and 563 hours were needed (total cost 67,000 £) to implement a guideline supported system in the EMR for 139 GPs. Economical analyses from a hospital and societal perspective, showed that 504 (range 401-670) and 37 (range 29-49) referred patients, respectively, were needed to provide a cost-effective service. CONCLUSION: A considerable amount of resources were needed to reach consensus on the surgical referral guidelines. A structured approach by the Delphi method and close collaboration between IT personnel, surgeons and primary care physicians were needed to reach consensus.

Telementoring in education of laparoscopic surgeons: An emerging technology.

Laparoscopy, minimally invasive and minimal access surgery with more surgeons performing these advanced procedures. We highlight in the review several key emerging technologies such as the telementoring and virtual reality simulators, that provide a solid ground for delivering surgical education to rural area and allow young surgeons a safety net and confidence while operating on a newly learned technique.

A prospective analysis of false positive events in a National Colon Cancer Surveillance Program.

BACKGROUND: The survival benefits of colon cancer surveillance programs are well delineated, but less is known about the magnitude of false positive testing. The objective of this study was to estimate the false positive rate and positive predictive value of testing as part of a surveillance program based on national guidelines, and to estimate the degree of testing and resource use needed to identify a curable recurrence. METHODS: Analysis of clinically significant events leading to suspicion of cancer recurrence, false positive events, true cancer recurrences, time to confirmation of diagnosis, and resource use (radiology, blood samples, colonoscopies, consultations) among patients included in a randomised colon cancer surveillance trial. RESULTS: 110 patients surgically treated for colon cancer were followed according to national guidelines for 1884 surveillance months. 1105 tests (503 blood samples, 278 chest x-rays, 209 liver ultrasounds, 115 colonoscopies) and 1186 health care consultations were performed. Of the 48 events leading to suspicion of cancer recurrence, 34 (71%) represented false positives. Thirty-one (65%) were initiated by new symptoms, and 17 (35%) were initiated by test results. Fourteen patients had true cancer recurrence; 7 resections of recurrent disease were performed, 4 of which were successful R0 metastasis Resections. 276 tests and 296 healthcare consultations were needed per R0 resection; the cost per R0 surgery was £ 103207. There was a 29% probability (positive predictive value) of recurrent cancer when a diagnostic work-up was initiated based on surveillance testing or patient complaints. CONCLUSION: We observed a high false positive rate and low positive predictive value for significant clinical events suggestive of possible colorectal cancer relapse in the setting of a post-treatment surveillance program based on national guidelines. Providers and their patients should have an appreciation for the modest positive predictive value inherent in colorectal cancer surveillance programs in order to make informed choices, which maximize quality of life during survivorship. Better means of tailoring surveillance programs based on patient risk would likely lead to more effective and cost-effective post-treatment follow-up. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT00572143. Date of trial registration: 11th of December 2007.

Telemedical technologies in urological cancer care: past, present and future applications.

Since the initial development of telegraphy by Sir Charles Wheatstone in 1837 and the telephone by Alexander Graham Bell in 1875, doctors have been able to convey medical information across great distances. The exchange and sharing of medical information has evolved and adapted to suit the vast array of today's medicine. Early adopters of telemedicine within clinical practice have gained significant health economic benefits. The arrival of wireless connections has further enhanced the possibilities for all clinical work with focus on diagnosis, treatment and management of urological cancers, as highlighted in this article.

Cost-effectiveness and quality of life in surgeon versus general practitioner-organised colon cancer surveillance: a randomised controlled trial.

OBJECTIVE: To assess whether colon cancer follow-up can be organised by general practitioners (GPs) without a decline in the patient's quality of life (QoL) and increase in cost or time to cancer diagnoses, compared to hospital follow-up. DESIGN: Randomised controlled trial. SETTING: Northern Norway Health Authority Trust, 4 trusts, 11 hospitals and 88 local communities. PARTICIPANTS: Patients surgically treated for colon cancer, hospital surgeons and community GPs. INTERVENTION: 24-month follow-up according to national guidelines at the community GP office. To ensure a high follow-up guideline adherence, a decision support tool for patients and GPs were used. MAIN OUTCOME MEASURES: Primary outcomes were QoL, measured by the global health scales of the European Organisation for Research and Treatment of Cancer QoL Questionnaire (EORTC QLQ C-30) and EuroQol-5D (EQ-5D). Secondary outcomes were cost-effectiveness and time to cancer diagnoses. RESULTS: 110 patients were randomised to intervention (n=55) or control (n=55), and followed by 78 GPs (942 follow-up months) and 70 surgeons (942 follow-up months), respectively. Compared to baseline, there was a significant improvement in postoperative QoL (p=0.003), but no differences between groups were revealed (mean difference at 1, 3, 6, 9, 12, 15, 18, 21 and 24-month follow-up appointments): Global Health; Δ-2.23, p=0.20; EQ-5D index; Δ-0.10, p=0.48, EQ-5D VAS; Δ-1.1, p=0.44. There were no differences in time to recurrent cancer diagnosis (GP 35 days vs surgeon 45 days, p=0.46); 14 recurrences were detected (GP 6 vs surgeon 8) and 7 metastases surgeries performed (GP 3 vs surgeon 4). The follow-up programme initiated 1186 healthcare contacts (GP 678 vs surgeon 508), 1105 diagnostic tests (GP 592 vs surgeon 513) and 778 hospital travels (GP 250 vs surgeon 528). GP organised follow-up was associated with societal cost savings (£8233 vs £9889, p<0.001). CONCLUSIONS: GP-organised follow-up was associated with no decline in QoL, no increase in time to recurrent cancer diagnosis and cost savings. TRIAL REGISTRATION: ClinicalTrials.gov identifier NCT00572143.

Surgical telementoring in knowledge translation--clinical outcomes and educational benefits: a comprehensive review.

BACKGROUND: Surgical telementoring has been reported for decades. However, there exists limited evidence of clinical outcome and educational benefits. OBJECTIVE: To perform a comprehensive review of surgical telementoring surveys published in the past 2 decades. RESULTS: Of 624 primary identified articles, 34 articles were reviewed. A total of 433 surgical procedures were performed by 180 surgeons. Most common telementored procedures were laparoscopic cholecystectomy (57 cases, 13%), endovascular treatment of aortic aneurysm (48 cases, 11%), laparoscopic colectomy (32 cases, 7%), and nefrectomies (41 cases, 9%). In all, 167 (38%) cases had a laparoscopic approach, and 8 cases (5%) were converted to open surgery. Overall, 20 complications (5%) were reported (liver bleeding, trocar port bleeding, bile collection, postoperative ileus, wound infection, serosa tears, iliac artery rupture, conversion open surgery). Eight surveys (23%) have structured assessment of educational outcomes. Telementoring was combined with simulators (n = 2) and robotics (n = 3). Twelve surveys (35%) were intercontinental. Technology satisfaction was high among 83% of surgeons. CONCLUSION: Few surveys have a structured assessment of educational outcome. Telementoring has improved impact on surgical education. Reported complication rate was 5%.

Sacral nerve stimulation.

BACKGROUND: Sacral nerve stimulation implies electrical stimulation of a sacral nerve root by an electrode and a pacemaker. Within the past few years, sacral nerve stimulation has become a possible treatment option for selected patients with urinary retention, urinary incontinence, anal incontinence and constipation. The method is furthermore being tested for several other conditions. MATERIAL AND METHODS: The article presents the method and treatment results following various indications based on the authors' own experience and non-systematic PubMed search. RESULTS: During a test period an external pacemaker is used for 3-30 days, with length of test differing according to the indication. A positive test (improvement of symptoms by 50 % or more) is achieved by 70-90 % of patients with anal incontinence, 70 % with urinary non-obstructive retention, 52-77 % with urinary urge incontinence and 43-72 % with constipation. Sacral nerve stimulation may also be effective in patients with chronic pelvic pain. Following implantation of a pacemaker a sustainable effect is seen in 50-90 % of patients with a positive test. Up to 75 % of patients will need repeated follow-up including pacemaker reprogramming or reoperations due to diminished effect. The longevity of the pacemaker is 3-10 years, and it must be replaced operatively when the battery has depleted. INTERPRETATION: Treatment with sacral nerve stimulation may be efficient over time in patients with various pelvic floor dysfunctions, especially anal incontinence and non-obstructive urinary retention. Most of the patients will need close follow-up in order to maintain an optimal result.

International trends in surgical treatment of rectal cancer.

BACKGROUND: Surgical technique might influence rectal cancer survival, yet international practices for surgical treatment of rectal cancer are poorly described. METHODS: We performed a cross-sectional survey in a cohort of experienced colorectal surgeons representing 123 centers. RESULTS: Seventy-one percent responded, 70% are from departments performing more than 50 proctectomies annually. More than 50% defined the rectum as "15 cm from the verge." Seventy-two percent perform laparoscopic proctectomy, 80% use oral bowel preparation, 69% perform high ligation of the inferior mesenteric artery, 76% divert stomas as routine for colo-anal anastomosis, and 63% use enhanced recovery protocols. Different practices exist between US and non-US surgeons: 15 cm from the verge to define the rectum (34% vs 59%; P = .03), personally perform laparoscopic resection (82% vs 66%; P = .05), rectal stump washout (36% vs 73%; P = .0001), always drain after surgery (23% vs 42%; P = .03), transanal endoscopic microsurgery for T2N0 in medically unfit patients (39% vs 61%; P = .0001). CONCLUSIONS: Wide international variations in rectal cancer management make outcome comparisons challenging, and consensus development should be encouraged.

[Overactive pelvic floor syndrome]. / Overaktiv bekkenbunn-syndrom.

BACKGROUND: The etiology of the overactive pelvic floor syndrome is not fully understood and no gold standards are available for diagnosis or treatment. The article presents an overview of literature, and discusses diagnostics and treatment. MATERIAL AND METHODS: Literature was identified through a non-systematic search in PubMed, and discussed in light of the authors' clinical experience with the patient group. RESULTS: The main symptoms of overactive pelvic floor syndrome are pain and defecation difficulties; the latter often leads to chronic constipation. Other symptoms depend on which parts of the pelvic floor that are most affected. Pain is often chronic and ranges from mild to severe; it is aggravated by micturition, sexual intercourse, orgasm, defecation and sitting on hard surfaces, and reduces the ability to work and quality of life in general. Injection of Botulinum toxin in the pelvic floor muscles seems to alleviate pain in many patients. Physiotherapy of the pelvic floor and treatment offered by pain clinics can also be useful. INTERPRETATION: A close cooperation between gastroenterologists, surgeons, urologists, gynecologists, neurologists, physiotherapists and possibly pain clinics is important to improve the situation for these patients.

International preoperative rectal cancer management: staging, neoadjuvant treatment, and impact of multidisciplinary teams.

BACKGROUND: Little is known regarding variations in preoperative treatment and practice for rectal cancer (RC) on an international level, yet practice variation may result in differences in recurrence and survival rates. METHODS: One hundred seventy-three international colorectal centers were invited to participate in a survey of preoperative management of rectal cancer. RESULTS: One hundred twenty-three (71%) responded, with a majority of respondents from North America, Europe, and Asia. Ninety-three percent have more than 5 years' experience with rectal cancer surgery. Fifty-five percent use CT scan, 35% MRI, 29% ERUS, 12% digital rectal examination and 1% PET scan in all RC cases. Seventy-four percent consider threatened circumferential margin (CRM) an indication for neoadjuvant treatment. Ninety-two percent prefer 5-FU-based long-course neoadjuvant chemoradiation therapy (CRT). A significant difference in practice exists between the US and non-US surgeons: poor histological differentiation as an indication for CRT (25% vs. 7.0%, p = 0.008), CRT for stage II and III rectal cancer (92% vs. 43%, p = 0.0001), MRI for all RC patients (20% vs. 42%, p = 0.03), and ERUS for all RC patients (43% vs. 21%, p = 0.01). Multidisciplinary team meetings significantly influence decisions for MRI (RR = 3.62), neoadjuvant treatment (threatened CRM, RR = 5.67, stage II + III RR = 2.98), quality of pathology report (RR = 4.85), and sphincter-saving surgery (RR = 3.81). CONCLUSIONS: There was little consensus on staging, neoadjuvant treatment, and preoperative management of rectal cancer. Regular multidisciplinary team meetings influence decisions about neoadjuvant treatment and staging methods.