Related Experiment Video
Updated: Jan 16, 2026

Author Spotlight: Developing a Bedside Protocol for Kidney and Genitourinary Ultrasonography
Published on: June 21, 2024
Differentiating Complicated Acute Appendicitis From Non-complicated Acute Appendicitis Based on Ultrasound
Zhongya Xu1, Jinfeng Yang1, Ying Niu1
1Department of Ultrasound, The People's Hospital of Yingshang, 236200 Fuyang, Anhui, China.
This study developed an ultrasound (US) model to distinguish complicated acute appendicitis (CAA) from non-complicated acute appendicitis (NCAA). The US nomogram accurately predicts CAA, aiding in preoperative risk stratification and treatment decisions.
Area of Science:
- Radiology and Medical Imaging
- Gastroenterology
- Surgical Diagnostics
Background:
- Acute appendicitis is common, but differentiating complicated (CAA) from non-complicated (NCAA) forms preoperatively is challenging.
- Accurate preoperative diagnosis is crucial for appropriate patient management and resource allocation.
- Ultrasound (US) is a widely available imaging modality with potential for appendicitis assessment.
Purpose of the Study:
- To identify key ultrasound (US) characteristics differentiating complicated acute appendicitis (CAA) from non-complicated acute appendicitis (NCAA).
- To develop and validate a US-based predictive model for preoperative diagnosis of CAA.
- To enhance preoperative risk stratification and guide treatment decisions for acute appendicitis.
Main Methods:
- Retrospective analysis of 178 patients with surgically confirmed appendicitis.
- Standardized preoperative US examinations and comparison of clinical and sonographic variables between CAA and NCAA groups.
- Development of a predictive model using LASSO and multivariable logistic regression, with performance evaluation via AUC, calibration plots, and DCA.
Main Results:
- Complicated appendicitis (CAA) patients were older with longer symptom duration, higher white blood cell (WBC) count, and neutrophil percentage (NE%).
- Key US predictors for CAA included greater appendiceal outer diameter (AOD), increased periappendiceal inflammatory fat thickness (PIFT), periappendiceal fluid collection (PAFC), marginal indistinctness (MI), and altered bowel peristalsis (ABP).
- The final US-based nomogram demonstrated excellent discrimination (AUC = 0.890) and good calibration, with high clinical utility confirmed by DCA.
Conclusions:
- The developed US-based nomogram is an accurate, non-invasive tool for preoperative differentiation of CAA from NCAA.
- This tool can aid in preoperative risk stratification for patients with acute appendicitis.
- The nomogram supports informed treatment decision-making, potentially optimizing patient outcomes.
More Related Videos
Related Concept Videos
Ultrasonography
During an ultrasonography procedure, a handheld device called...
Appendicitis-II: Diagnostic Studies and Management
Diagnosing Appendicitis
It requires a multifaceted approach, starting with a detailed physical examination to pinpoint the location and nature of the pain and identify any associated symptoms. Laboratory tests play a crucial role. A complete Blood Count (CBC) typically reveals leukocytosis (an increased number of...
Appendicitis-I: Introduction
Etiology: Appendicitis can arise from various causes, primarily rooted in the obstruction of the appendix lumen. Factors contributing to this obstruction include fecal accumulation, lymphoid hyperplasia and, in...
Imaging Studies II: Ultrasonography
Ultrasound I: Abdominal Ultrasonography
Abdominal ultrasonography, commonly known as abdominal ultrasound, is a vital, non-invasive medical imaging technique widely used in healthcare.
Procedure:
This diagnostic tool allows the clinician to visually inspect internal structures within the abdomen, including vital organs such as the liver, gallbladder, pancreas, kidneys, and spleen.
The abdominal ultrasound process begins with applying a special gel to the patient's skin over the abdomen. This gel enhances the...
Ultrasound II: Endoscopic Ultrasound and FibroScan
Endoscopic Ultrasound (EUS):

