Review of appendicitis: routine, complicated, and mimics

Young-onset colon adenocarcinoma masquerading as acute appendicitis

This case report presents the findings of colon adenocarcinoma in a young adult male who presented with vague abdominal pain as his only complaint, suspicious of appendicitis. The patient underwent abdominal computed tomography (CT) imaging for further evaluation of his abdominal pain. CT findings showed pericecal fat stranding and prominent lymph nodes concerning for acute appendicitis, but the appendix could not be adequately visualized; due to the indeterminate CT findings, general surgery proceeded to perform an exploratory laparotomy on the patient and removed an appendiceal mass-like structure that was revealed to be invasive adenocarcinoma of the colon per pathology. This case report details the radiological and pathological findings of colorectal adenocarcinoma presenting similarly to acute appendicitis and demonstrates that colorectal adenocarcinoma must be considered on the list of differentials in young adults presenting with abdominal pain and unclear CT imaging.

Predicting severity of acute appendicitis with machine learning methods: a simple and promising approach for clinicians

BACKGROUNDS

Acute Appendicitis (AA) is one of the most common surgical emergencies worldwide. This study aims to investigate the predictive performances of 6 different Machine Learning (ML) algorithms for simple and complicated AA.

METHODS

Data regarding operated AA patients between 2012 and 2022 were analyzed retrospectively. Based on operative findings, patients were evaluated under two groups: perforated AA and none-perforated AA. The features that showed statistical significance (p < 0.05) in both univariate and multivariate analysis were included in the prediction models as input features. Five different error metrics and the area under the receiver operating characteristic curve (AUC) were used for model comparison.

RESULTS

A total number of 1132 patients were included in the study. Patients were divided into training (932 samples), testing (100 samples), and validation (100 samples) sets. Age, gender, neutrophil count, lymphocyte count, Neutrophil to Lymphocyte ratio, total bilirubin, C-Reactive Protein (CRP), Appendix Diameter, and PeriAppendicular Liquid Collection (PALC) were significantly different between the two groups. In the multivariate analysis, age, CRP, and PALC continued to show a significant difference in the perforated AA group. According to univariate and multivariate analysis, two data sets were used in the prediction model. K-Nearest Neighbors and Logistic Regression algorithms achieved the best prediction performance in the validation group with an accuracy of 96%.

CONCLUSION

The results showed that using only three input features (age, CRP, and PALC), the severity of AA can be predicted with high accuracy. The developed prediction model can be useful in clinical practice.

Spontaneous cecal perforation in a cat diagnosed with ultrasonography

An 8-year-old cat was presented for an acute history of anorexia, marked abdominal pain, and hyperthermia. Ultrasonography showed a cecal perforation with focal steatitis and adjacent free gas bubbles, consistent with focal peritonitis. Surgery confirmed the imaging findings. An enterectomy was performed with the removal of the cecum and ileocolic valve, and anastomosis between the ileum and colon was performed. Histology revealed transmural enteritis and chronic severe pyogranulomatous peritonitis with intralesional plant fragments.

Appendiceal wall thickness and Alvarado score are predictive of acute appendicitis in the patients with equivocal computed tomography findings

Around 8-13% of the patients who underwent CT scan for diagnosis of appendicitis had equivocal CT results. About one-third of these patients had acute appendicitis and this caused diagnostic challenge to the clinicians. This study was conducted to identify clinical and imaging features that were predictive of acute appendicitis in patients who had equivocal CT findings. During January 2015 to June 2021, we retrospectively included 103 consecutive CT scans of adult patients (22 men and 81 women; mean age, 39.1 ± 17.5 years) who had equivocal CT findings of acute appendicitis. Two readers, blinded to the clinical data, independently assessed CT images for the relevant CT findings of appendicitis. Any disagreement between the readers was solved by consensus. The clinical parameters and CT findings were analyzed and compared between the patients who had appendicitis and patients who did not have appendicitis. Thirty-one (30.1%) patients had appendicitis, all of which were non-complicated. The appendiceal wall thickness of ≥ 2 mm and the Alvarado score of ≥ 7 were independent predictors of appendicitis with adjusted odds ratios (ORs) of 2.76 (95% CI, 1.09-7.02) and 1.47 (95% CI, 1.12-1.94), respectively. The maximal appendiceal diameter was higher in the appendicitis group (7.2 ± 1.2 mm vs. 6.5 ± 1.0 mm), but not predictive of appendicitis. The rest of the clinical parameters and CT findings, including mucosal hyperenhancement, periappendiceal fat reticulation, thickening of peritoneal reflection, appendicolith, focal cecal thickening, and content in appendiceal lumen showed no significant difference between two groups. The appendiceal wall thickness and the Alvarado score were able to predict appendicitis in patients who had equivocal CT findings.