CT gastrography for volumetric measurement of remnant stomach after distal gastrectomy: a feasibility study

Artificial Intelligence in Gastric Cancer Imaging With Emphasis on Diagnostic Imaging and Body Morphometry

Gastric cancer remains a significant global health concern, coercing the need for advancements in imaging techniques for ensuring accurate diagnosis and effective treatment planning. Artificial intelligence (AI) has emerged as a potent tool for gastric-cancer imaging, particularly for diagnostic imaging and body morphometry. This review article offers a comprehensive overview of the recent developments and applications of AI in gastric cancer imaging. We investigated the role of AI imaging in gastric cancer diagnosis and staging, showcasing its potential to enhance the accuracy and efficiency of these crucial aspects of patient management. Additionally, we explored the application of AI body morphometry specifically for assessing the clinical impact of gastrectomy. This aspect of AI utilization holds significant promise for understanding postoperative changes and optimizing patient outcomes. Furthermore, we examine the current state of AI techniques for the prognosis of patients with gastric cancer. These prognostic models leverage AI algorithms to predict long-term survival outcomes and assist clinicians in making informed treatment decisions. However, the implementation of AI techniques for gastric cancer imaging has several limitations. As AI continues to evolve, we hope to witness the translation of cutting-edge technologies into routine clinical practice, ultimately improving patient care and outcomes in the fight against gastric cancer.

Imaging in Gastric Cancer: Current Practice and Future Perspectives

Gastric cancer represents one of the most common oncological causes of death worldwide. In order to treat patients in the best possible way, the staging of gastric cancer should be accurate. In this regard, endoscopy ultrasound (EUS) has been considered the reference standard for tumor (T) and nodal (N) statuses in recent decades. However, thanks to technological improvements, computed tomography (CT) has gained an important role, not only in the assessment of distant metastases (M status) but also in T and N staging. In addition, magnetic resonance imaging (MRI) can contribute to the detection and staging of primary gastric tumors thanks to its excellent soft tissue contrast and multiple imaging sequences without radiation-related risks. In addition, MRI can help with the detection of liver metastases, especially small lesions. Finally, positron emission tomography (PET) is still considered a useful diagnostic tool for the staging of gastric cancer patients, with a focus on nodal metastases and peritoneal carcinomatosis. In addition, it may play a role in the treatment of gastric cancer in the coming years thanks to the introduction of new labeling peptides. This review aims to summarize the most common advantages and pitfalls of EUS, CT, MRI and PET in the TNM staging of gastric cancer patients.

Three-Dimensional Multi-detector Computed Tomography (3D-MDCT) Gastric Volumetry in Patients with obesity and Normal-Weight Individuals

BACKGROUND

Obesity is a widely prevalent medical and socioeconomic problem. Bariatric surgery is indicated for patients with clinically severe obesity. Reduction of gastric volume is an important factor that contributes to weight loss after laparscopic sleeve gastrectomy (LSG). The impact of the gastric volume on weight after LSG has been studied.

AIM OF THE STUDY

This study was designed to assess the gastric volume in patients with obesity prior to LSG and in the normal-weight patients, using three-dimensional multi-detector computer tomography (3D-MDCT), and to evaluate the potential correlation of the gastric volume with body mass index (BMI).

PATIENTS AND METHODS

A total of 100 patients were equally enrolled in two groups: one group for patients with obesity scheduled for LSG and another one for normal-weight patients scheduled for non-bariatric surgery. The study patients underwent 3D-MDCT gastric volumetry.

RESULTS

The gastric volume ranged from 525 to 1170 mL in patients with obesity and from 312 to 676 mL in the normal-weight group. Statistically significant difference was found between the two groups. Age, weight, and BMI were found to be predictors for the gastric volume in normal-weight patients only.

CONCLUSION

MDCT gastric volumetry is a feasible method to assess the stomach volume. Higher volumes were evident in patients with obesity. Age, weight, and BMI are predictors for the gastric volume in normal-weight patients with linear regression equations that could help during the preoperative planning of bariatric surgeries.

Assessment of risk factors for delayed gastric emptying after distal gastrectomy for gastric cancer

The risk factors for delayed gastric emptying (DGE) following gastrectomy are unclear. This study aimed to investigate the risk factors for DGE and the severity of DGE. We retrospectively evaluated 412 patients who underwent gastrectomy for gastric cancer between 2011 and 2019. The cases were classified into the DGE (n = 27) and non-DGE (n = 385) groups; the DGE group was further classified into two subgroups based on nasogastric tube insertion as an indicator of severity. For determining the relationship between resected stomach volume and DGE, we calculated the area of each surgical specimen using the ImageJ software. Female sex (odds ratio [OR] 2.55; 95% confidence interval [CI] 1.09–5.93; P = 0.03), diabetes (OR 2.38; 95% CI 1.02–5.57; P = 0.03), and distal gastric tumors (OR 2.61; 95% CI 1.10–6.19; P = 0.02) were identified as independent risk factors by multivariate analysis. The duration of hospital stay was longer in the DGE group than in the non-DGE group (29 vs. 15 days, P < 0.01). Overall, 24 cases of DGE (89%) were found in more than 1 week following surgery. No correlation was observed between clinical features and the severity of DGE. The resected area in the DGE group was significantly larger than that in the non-DGE group (198.0 vs. 173.9 cm², P = 0.03). In conclusion, DGE was frequently observed in females and in patients with diabetes and distal gastric tumors. Most of the DGE cases occurred after 7–14 days of surgery, patients who are discharged early should be informed to seek hospitalization if they have symptoms caused by DGE.

The current and possible future role of 3D modelling within oesophagogastric surgery: a scoping review

BACKGROUND

3D reconstruction technology could revolutionise medicine. Within surgery, 3D reconstruction has a growing role in operative planning and procedures, surgical education and training as well as patient engagement. Whilst virtual and 3D printed models are already used in many surgical specialities, oesophagogastric surgery has been slow in their adoption. Therefore, the authors undertook a scoping review to clarify the current and future roles of 3D modelling in oesophagogastric surgery, highlighting gaps in the literature and implications for future research.

METHODS

A scoping review protocol was developed using a comprehensive search strategy based on internationally accepted guidelines and tailored for key databases (MEDLINE, Embase, Elsevier Scopus and ISI Web of Science). This is available through the Open Science Framework (osf.io/ta789) and was published in a peer-reviewed journal. Included studies underwent screening and full text review before inclusion. A thematic analysis was performed using pre-determined overarching themes: (i) surgical training and education, (ii) patient education and engagement, and (iii) operative planning and surgical practice. Where applicable, subthemes were generated.

RESULTS

A total of 56 papers were included. Most research was low-grade with 88% (n = 49) of publications at or below level III evidence. No randomised control trials or systematic reviews were found. Most literature (86%, n = 48) explored 3D reconstruction within operative planning. These were divided into subthemes of pre-operative (77%, n = 43) and intra-operative guidance (9%, n = 5). Few papers reported on surgical training and education (14%, n = 8), and were evenly subcategorised into virtual reality simulation (7%, n = 4) and anatomical teaching (7%, n = 4). No studies utilising 3D modelling for patient engagement and education were found.

CONCLUSION

The use of 3D reconstruction is in its infancy in oesophagogastric surgery. The quality of evidence is low and key themes, such as patient engagement and education, remain unexplored. Without high quality research evaluating the application and benefits of 3D modelling, oesophagogastric surgery may be left behind.

Larger Remaining Stomach Volume Is Associated With Better Nutrition and Muscle Preservation in Patients With Gastric Cancer Receiving Distal Gastrectomy With Gastroduodenostomy

Purpose

Weight loss and deterioration in body composition are observed in patients with gastric cancer (GC) following gastrectomy. This study aimed to investigate the impact of residual stomach volume (RSV) on the nutritional status and body composition of patients with GC treated with distal gastrectomy.

Materials and Methods

In total, 227 patients who underwent minimally invasive distal gastrectomy with Billroth 1 anastomosis for stage I GC between February 2015 and May 2018 were enrolled. Clinicodemographic and laboratory data were collected from the GC registry. The RSV, abdominal muscle area, and subcutaneous/visceral fat areas were measured using computed tomography data.

Results

A larger RSV was associated with a lower decrease in the nutritional risk index (P=0.004) and hemoglobin level (P=0.003) during the first 3 months after surgery, and better recovery at 12 months. A larger RSV demonstrated an advantage in the preservation of abdominal muscle area (P=0.02) and visceral fat (P=0.04) after surgery, as well as less reduction in weight (P=0.02) and body mass index (P=0.03).

Conclusions

Larger RSV was associated with improved nutritional status and better preservation of muscle and fat after distal gastrectomy.

Impact of remnant stomach volume and anastomosis on nutrition and body composition in gastric cancer patients

BACKGROUND

In gastrectomy for gastric cancer, oncologic safety including secure resection margin is considered important while less attention is given to maximizing remnant stomach volume (RSV). Nutrition and body composition are important postoperative factors for patient well-being. In this prospective observational study, we investigated the effects of RSV and anastomosing method on nutrition, anemia, and body composition change.

METHODS

We enrolled 247 patients who underwent curative laparoscopic gastrectomy (Billroth-1: 111, Billroth-2: 31, Roux-en-Y: 38, total gastrectomy: 67) for stage 1 gastric cancer between 2015 and 2016. Their clinicodemographic characteristics and laboratory data were collected. RSV, area of abdominal muscle, and subcutaneous/visceral fat were measured using CT data.

RESULTS

Patients with larger RSV and those who underwent Billroth-1 exhibited smaller reduction in hemoglobin and nutritional parameters during the first three postoperative months, and showed better recovery in the aforementioned variables as well in the first postoperative year. Visceral fat was the most affected factor by gastrectomy, and abdominal muscle and subcutaneous/visceral fat were better preserved in patients with larger RSV. The proportion of sarcopenic patients was also the smallest in the Billroth-1 group and larger RSV group. Patients who underwent total gastrectomy showed the highest degree of deterioration in all parameters.

CONCLUSIONS

Estimating RSV and body composition by using CT offers valuable clinical information. The Billroth-1 procedure and larger RSV were associated with better postoperative nutritional variables and reduced prevalence of sarcopenia among gastric cancer patients after gastrectomy. When performing gastrectomy in stage 1 gastric cancer patients, RSV should be considered.