Evidence map›Paper›PMID 39294319›Full record

ReviewAbdominal radiology (New York)2025

Assessment of diagnostic value of ultrasound and multi-slice spiral computed tomography in acute appendicitis: a retrospective study.

Kai Lu, Furui Zhong, Juan Miao, Chong Sun, Kaibo Zhou, Wei Wang, Faqiang Zhang, Hua Yang, Ke Lan

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In one paragraph

Review in Abdominal radiology (New York), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kai LuDepartment of General Surgery of Huidong, Zigong Fourth People's Hospital, Zigong, 643000, China.
Furui ZhongDepartment of General Surgery of Huidong, Zigong Fourth People's Hospital, Zigong, 643000, China.
Juan MiaoDepartment of Ultrasonography, Zigong Fourth People's Hospital, Zigong, 643000, China.
Chong SunDepartment of Ultrasonography, Zigong Fourth People's Hospital, Zigong, 643000, China.
Kaibo ZhouDepartment of Radiology, Zigong Fourth People's Hospital, Zigong, 643000, China.
Wei WangDepartment of Radiology, Zigong Fourth People's Hospital, Zigong, 643000, China.
Faqiang ZhangDepartment of General Surgery of Huidong, Zigong Fourth People's Hospital, Zigong, 643000, China.
Hua YangDepartment of General Surgery of Huidong, Zigong Fourth People's Hospital, Zigong, 643000, China.
Ke LanDepartment of General Surgery of Huidong, Zigong Fourth People's Hospital, Zigong, 643000, China. 597768288@qq.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeUltrasound and multi-slice spiral computed tomography (CT) are frequently used to assist the diagnosis of acute appendicitis (AA), and the examination results may vary among different demographics. This study aimed to compare the diagnostic accuracy of ultrasound and CT for AA.

methodsWe performed a retrospective analysis of patients diagnosed with AA who underwent emergency surgery at our hospital from March 2021 to August 2023, with postoperative pathological results as the gold standard. Differences in the diagnostic accuracy of ultrasound and CT for different types of AA, age groups, and body mass index (BMI) values were then analyzed.

resultsThe overall sample comprised 279 confirmed cases of AA, with 64 cases of simple appendicitis, 127 cases of suppurative appendicitis, and 88 cases of gangrenous appendicitis. For these three pathological classifications, the diagnostic accuracy of ultrasound was 68.75% (44/64), 73.22% (93/127), and 81.81% (72/88), respectively, while the diagnostic accuracy of CT was 71.87% (46/64), 82.67% (105/127), and 90.90% (80/88), respectively. There was no statistically significant difference in the overall diagnostic accuracy between the two methods (P > 0.05). Subgroup analysis showed no difference in diagnostic accuracy between the two methods for patients with normal BMI (P > 0.05). However, for overweight, obese, and elderly patients, CT provided significantly better diagnostic accuracy than ultrasound (P < 0.05).

conclusionWhile ultrasound and CT have similar diagnostic accuracy for different pathological types of AA, CT is more accurate for overweight, obese, and elderly patients.

Indexed as

AppendicitisTomography, Spiral ComputedAcute DiseaseAdolescentAdultAgedAged, 80 and overChildFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityUltrasonographyYoung AdultAcute appendicitisBody mass index (BMI)Computed tomography (CT)Ultrasound

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.