Relative CT number of periappendiceal fat stranding may be an applicable index for estimating the severity of acute appendicitis

Song, Xinhong; Shi, Mingqi; Liu, Wei; Ge, Yansong; Wang, Peiyuan

doi:10.1259/bjr.20200437

Cited by 4 publications

(3 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Compared with prior models that also employed FS, our models were superior because they categorized FS into four grades (0–3). This grading system was also strongly supported by a recent study [ 44 ], which revealed attenuation of periappendiceal fat was significantly associated with the severity of appendicitis. Compared to patients with uncomplicated appendicitis, patients with complicated acute appendicitis exhibited higher CT number (or Hounsfield unit) of periappendiceal fat.…”

Section: Discussionsupporting

confidence: 69%

“…Compared to patients with uncomplicated appendicitis, patients with complicated acute appendicitis exhibited higher CT number (or Hounsfield unit) of periappendiceal fat. [ 44 ] In our study, we assigned increasing scores in our new scoring system to different FS grades on the basis of their severity. Although model 4 developed by Kim et al [ 33 ] included FS as a predictor, they did not categorize FS into different grades.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Periappendiceal fat-stranding models for discriminating between complicated and uncomplicated acute appendicitis: a diagnostic and validation study

et al. 2021

View full text Add to dashboard Cite

Background Recent studies have reported promising outcomes of non-operative treatment for uncomplicated appendicitis; however, the preoperative prediction of complicated appendicitis is challenging. We developed models by incorporating fat stranding (FS), which is commonly observed in perforated appendicitis. Material and methods We reviewed the data of 402 consecutive patients with confirmed acute appendicitis from our prospective registry. Multivariate logistic regression was performed to select clinical and radiographic factors predicting complicated acute appendicitis in our model 1 (involving backward elimination) and model 2 (involving stepwise selection). We compared c statistics among scoring systems developed by Bröker et al. (in J Surg Res 176(1):79–83. https://doi.org/10.1016/j.jss.2011.09.049, 2012), Imaoka et al. (in World J Emerg Surg 11(1):1–5, 2016), Khan et al. (in Cureus. https://doi.org/1010.7759/cureus.4765, 2019), Kim et al. (in Ann Coloproctol 31(5):192, 2015), Kang et al. (in Medicine 98(23): e15768, 2019), Atema et al. (in Br J Surg 102(8):979–990. https://doi.org/10.1002/bjs.9835, 2015), Avanesov et al. (in Eur Radiol 28(9):3601–3610, 2018), and Kim et al. (in Abdom Radiol 46:1–12, 2020). Finally, we examined our models by performing the integrated discrimination improvement (IDI) test. Results Among enrolled patients, 64 (15.9%) had complicated acute appendicitis. We developed new 10-point scoring models by including the following variables: C-reactive protein, neutrophil to lymphocyte ratio, and computed tomography features of FS, ascites, and appendicolith. A cutoff score of ≥ 6 exhibited a high sensitivity of 82.8% and a specificity of 82.8% for model 1 and 81.3% and 82.3% for model 2, respectively, with c statistics of 0.878 (model 1) and 0.879 (model 2). Compared with the model developed by Bröker et al. which included C-reactive protein and the abdominal pain duration (c statistic: 0.778), the models developed by Atema et al. (c statistic: 0.826, IDI: 5.92%, P = 0.0248), H.Y Kim et al. (c statistics: 0.838, IDI: 13.82%, P = 0.0248), and our two models (IDI: 18.29%, P < 0.0001) demonstrated a significantly higher diagnostic accuracy. Conclusion Our models and the scoring systems developed by Atema et al. and Kim et al. were validated to have a high diagnostic accuracy; moreover, our models included the lowest number of variables.

show abstract

Section: Discussionsupporting

confidence: 69%

Section: Discussionmentioning

confidence: 99%

Periappendiceal fat-stranding models for discriminating between complicated and uncomplicated acute appendicitis: a diagnostic and validation study

et al. 2021

View full text Add to dashboard Cite

show abstract

“…A prior study documented an average 6.3 days mean hospital stay in the ruptured group and only 2.9 days in non-perforated one 6 . Being non-invasive, Computed tomography (CT) scan has gained significant popularity in investigating AA, contrary to invasive approaches like diagnostic laparoscopy 7,8 . An earlier study recorded sensitivity and specificity of 69% and 97% respectively for CT scan in identifying ruptured appendicitis 9 .…”

Section: Introductionmentioning

confidence: 99%

Diagnostic Precision of Computed Tomography (CT) Scan in Discriminating Perforated Appendicitis from Non-Perforated Cases

2021

PJMD

View full text Add to dashboard Cite

Background: Acute appendicitis, when the appendiceal lumen is obstructed, leads to development of inflammation and eventually perforation. Pre-operative identification of ruptured appendix could help determine therapy, including consideration for a non-surgical approach towards management. Although, no doubt exists in the reliability of Computed tomography (CT) in detecting acute appendicitis (AA), however, its efficiency in discriminating the non perforated appendicitis from ruptured one still needs clarification. This study aimed to establish the diagnostic accuracy, sensitivity and specificity of CT scan in acute appendicitis in terms of the presence or absence of perforation.

show abstract

Evaluation of extensive inflammatory conditions of the bowel using three-dimensional CT cinematic rendering: focus on inflammatory bowel disease

Rowe,

Kaddu,

Chu

et al. 2023

Emerg Radiol

View full text Add to dashboard Cite

Relative CT number of periappendiceal fat stranding may be an applicable index for estimating the severity of acute appendicitis

Cited by 4 publications

References 36 publications

Periappendiceal fat-stranding models for discriminating between complicated and uncomplicated acute appendicitis: a diagnostic and validation study

Periappendiceal fat-stranding models for discriminating between complicated and uncomplicated acute appendicitis: a diagnostic and validation study

Diagnostic Precision of Computed Tomography (CT) Scan in Discriminating Perforated Appendicitis from Non-Perforated Cases

Evaluation of extensive inflammatory conditions of the bowel using three-dimensional CT cinematic rendering: focus on inflammatory bowel disease

Contact Info

Product

Resources

About