Are Preoperative CT Findings Useful in Predicting the Duration of Laparoscopic Appendectomy in Pediatric Patients? A Single Center Study
Are Preoperative CT Findings Useful in
Predicting the Duration of Laparoscopic Appendectomy in Pediatric Patients? A
Single Center Study
Ismail Taskent 1, Bunyamin Ece 1, Mehmet
Ali Narsat 2
Abstract
Background/Objectives: Preoperative
computed tomography (CT) imaging plays a vital role in accurately diagnosing
acute appendicitis and assessing the severity of the condition, as well as the
complexity of the surgical procedure. CT imaging provides detailed information
on the anatomical and pathological aspects of appendicitis, allowing surgeons
to anticipate technical challenges and select the most appropriate surgical
approach. This retrospective study aimed to investigate the correlation between
preoperative CT findings and the duration of laparoscopic appendectomy (LA) in
pediatric patients.
Methods: This
retrospective study included 104 pediatric patients diagnosed with acute
appendicitis via contrast-enhanced CT who subsequently underwent laparoscopic
appendectomy (LA) between November 2021 and February 2024. CT images were
meticulously reviewed by two experienced radiologists blinded to the clinical
and surgical outcomes. The severity of appendicitis was evaluated using a
five-point scale based on the presence of periappendiceal fat, fluid,
extraluminal air, and abscesses.
Results: The
average operation time was 51.1 ± 21.6 min. Correlation analysis revealed
significant positive associations between operation time and neutrophil count (p =
0.014), C-reactive protein levels (p = 0.002), symptom-to-operation
time (p = 0.004), and appendix diameter (p = 0.017).
The total CT score also showed a significant correlation with operation time (p <
0.001). Multiple regression analysis demonstrated that a symptom duration of
more than 2 days (p = 0.047), time from CT to surgery (p =
0.039), and the presence of a periappendiceal abscess (p = 0.005)
were independent predictors of prolonged operation time. In the perforated
appendicitis group, the presence of a periappendiceal abscess on CT was
significantly associated with prolonged operation time (p = 0.020).
In the non-perforated group, the presence of periappendiceal fluid was
significantly related to longer operation times (p = 0.026).
Conclusions: In
our study, preoperative CT findings, particularly the presence of a
periappendiceal abscess, were significantly associated with prolonged operation
times in pediatric patients undergoing laparoscopic appendectomy. Elevated CRP
levels, the time between CT imaging and surgery, and a symptom duration of more
than 2 days were also found to significantly impact the procedure’s duration.
Keywords: acute
appendicitis, pediatric, CT findings, laparoscopic surgery, operation time,
predictors
1.
Introduction
Acute
appendicitis, a common cause of abdominal pain in children, often necessitates
swift surgical intervention for accurate diagnosis [1].
The utilization of preoperative computed tomography (CT) imaging has notably
enhanced diagnostic precision, particularly in cases where clinical and
laboratory findings are inconclusive, thus minimizing unnecessary surgeries [2,3].
CT plays a pivotal role in accurately diagnosing acute appendicitis and holds
the capability to predict histological severity. This capability facilitates
informed decision-making regarding the timing and necessity of operative
intervention [4].
Either
laparoscopic or open surgery is the preferred surgical approach to treat
pediatric patients with acute appendicitis. However, laparoscopic appendectomy
(LA) holds several advantages over the open approach. These include shorter
recovery times, reduced postoperative pain, a faster return to normal
activities, and a more favorable cosmetic outcome [5,6,7,8,9].
However, operation times have been observed to be longer in patients who
underwent LA compared to those who had open appendectomy (OA) [5,10].
Operation
time is a reliable measure of technical difficulty in laparoscopic procedures,
and research shows a link between prolonged operation times and increased
complication rates [11,12,13].
Imaging findings, particularly CT scans, have an important role in predicting
surgery difficulty and outcomes. CT can easily detect the presence of
periappendiceal fluid, extraluminal air, and abscesses, as well as the diameter
and position of the appendix, which are crucial in determining the surgical
difficulty. These imaging results may enhance surgical outcomes by allowing
surgeons to anticipate difficulties and plan accordingly [14,15].
To the best of our knowledge, there are not enough studies demonstrating the
relationship between prolonged operation time and CT findings in LA in the
pediatric population.
The
purpose of this retrospective study is to investigate the relationship between
preoperative
CT
imaging findings and operation time for LA in pediatric patients.
2.
Materials and Methods
2.1. Participants
Pediatric
patients who presented to our hospital with acute abdomen symptoms and were
suspected of having acute appendicitis but could not be diagnosed with
ultrasound, requiring a contrast-enhanced CT, between November 2021 and
February 2024, were retrospectively evaluated. All surgeries were performed by
a single pediatric surgery specialist at our hospital. During this period, a
total of 138 patients were diagnosed with appendicitis via CT, and 127 of them
underwent surgical intervention, while the remaining patients were treated with
non-surgical methods such as drainage and antibiotics. Out of 386 total
appendectomy patients, 127 underwent preoperative CT evaluation. The remaining
patients were evaluated using ultrasound imaging. Patients who underwent
non-contrast CT (n = 8), those whose CT records were inaccessible (n =
9), and those with incomplete medical records (n = 4) were excluded
from this study. Additionally, 2 patients with significant comorbidities that
could have affected the operation time were excluded from this study. As a
result, a total of 104 patients diagnosed with acute appendicitis on
contrast-enhanced CT and underwent LA were included in this study.
Ethical
approval was obtained from the institutional review board of our tertiary care
center (ethics committee number: KAEK 2022-104, decision date: 19 October 2022)
for the retrospective review of laboratory findings and CT scans in patients
who underwent LA. This study adhered to the “Declaration of Helsinki”. Because
this study was retrospective, informed consent was not obtained.
2.2.
Data Collection
The data
were obtained from the surgical records, anesthesia records, and progress notes
from the pediatric surgery clinic at our hospital. Perforated appendicitis was
defined as the spillage of appendiceal contents, peritonitis, or abscesses
observed at the beginning of surgery. Operation time was defined as the
duration from the initiation of the skin incision to the completion of skin
closure, based on anesthesia records. Patients were divided into two groups
according to operation time: those with operation times ≤ 50 min and those with
operation times > 50 min. Preoperative parameters included in the analysis
were age, gender, body mass index (BMI), white blood cell (WBC) count,
neutrophil count (NEU), NEU/WBC ratio, C-reactive protein (CRP) level (normal
range in our lab: 0–5 mg/L), heart rate, body temperature, symptom duration
(symptom-to-operation time), waiting time (CT to operation time), and findings
from CT. To assess the relationship between operation time and outcomes, the
complications, readmissions, and length of hospital stay (LOS) for both groups
were compared.
2.3.
Abdominal CT Assessment
All CT
investigations were conducted using 64-detector, 128-slice CT scanners
(Revolution EVO; GE Medical Systems, Chicago, IL, USA). All examinations were
performed with a low-dose technique utilizing an automated tube current
modulation to determine the tube current (mA). All CT scans were conducted at
80–120 kV, with adjustments made automatically based on the patient’s physique.
The standard section slice thickness was 0.625 mm. The contrast material used
(300 mg iodine/mL) amounted to 1 mL/kg. The contrast material was administered
automatically. CT examinations were consistently conducted in the portal venous
phase.
To
obtain a consensus, two radiologists (I.T. with 11 years and B.E. with 10 years
of experience) assessed the patients’ CT scans using an Advantage Windows
workstation (ADW 4.7 Ext. 16 Software, GE Medical Systems, Chicago, IL, USA).
The radiologists were not aware of the clinical or surgical results (Figure
1).
Figure
1.

Axial CT
images of a 189-month-old male patient. (A) The appendix (black arrow)
exhibits an increased diameter and a thickened wall, indicative of
inflammation. There is a notable collection of periappendiceal fluid (black
arrowhead), and the surrounding fat tissue shows increased attenuation (white
arrowhead), suggesting inflammatory changes. (B) In another section, an
appendicolith (black arrow) is clearly visible. Additionally, there is
increased attenuation in the periappendiceal fat tissue (white arrow),
consistent with inflammatory changes associated with acute appendicitis.
To
classify the localizations, three regions were defined in the appendix. An
anterior location (where the end of appendix lies anterior to cecum in the
large pelvis) was labeled as “Location 1”, a retrocecal or retrocolonic
location (where the tip of appendix lies behind the cecum, in the right iliac
fossa or reaches the subhepatic area) was labeled as “Location 2”, and a pelvic
location (where the tip of the appendix lies in the small pelvis) was labeled
as “Location 3” [16].
Appendicitis
findings were graded based on imaging features observed in the periappendix
region. A 5-point scale was devised, considering the presence of an
appendicolith, periappendiceal fat stranding, periappendiceal fluid,
extraluminal air, and abscess finding. The presence of any of these findings
contributed 1 point to the rating, which ranged from 0 to 5 [17].
2.4.
Surgical Procedure
All
surgeries were performed by the same surgeon with the patient under general
anesthesia. A 10 mm optic port was inserted into the umbilicus or subumbilical
position, and an additional 5 mm working port was inserted into the left iliac
fossa position. A needle grasper was introduced into the abdomen from the right
iliac fossa, or a suprapubic or right subcostal 5 mm trocar was used, depending
on the location and clinical appearance of the appendix during the initial
exploration.
Once a
pneumoperitoneum pressure of 8–15 mm Hg was established using CO2 at
a flow rate of 3–5 L per minute, the patient was positioned in a 30°
Trendelenburg position with a 15° left tilt. The mesoappendix was dissected
using laparoscopic coagulating shears, and the base of the appendix was ligated
with endo-clips. After the appendix was divided above the ligated site using
laparoscopic coagulating shears, the resected appendix was extracted through
the transumbilical port. Subsequently, drainage catheters were inserted through
the suprapubic port site into the pelvic cavity or paracolic gutter, depending
on the operative findings related to peritoneal contamination from appendiceal
perforation and the surgeon’s judgment.
No
patients required blood transfusion during the perioperative period. For
postoperative antibiotic prophylaxis, second-generation cephalosporin and
metronidazole were administered.
2.5.
Statistical Analysis
The data
were analyzed using the Statistical Package for the Social Sciences (SPSS) for
Windows version 23 software (IBM SPSS Inc., Chicago, IL, USA). Normal
distribution of the data was assessed using the Kolmogorov–Smirnov test.
Numerical variables with a normal distribution are presented as mean ± standard
deviation (SD) values, while variables without a normal distribution are
presented as median (minimum–maximum) values. Categorical variables are
reported as the number (n) and percentage (%). The Chi-square test was
employed to compare categorical variables. For group comparisons, the
independent samples t-test was used for data with a normal
distribution, and the Mann–Whitney U test was used for data without a normal
distribution. Pearson correlation analysis was utilized for data with a normal
distribution, and Spearman correlation analysis was applied for data without a
normal distribution. In univariate analysis, simple linear regression was used
to evaluate the relationship between the operation time and each independent
variable. A multivariable linear regression analysis was performed to assess
the impact of various independent variables on operation time. A significance
level of p < 0.05 was considered statistically significant.
3.
Results
This
study included 59 (56.7%) males and 45 (43.3%) females, with an average age of
11.7 ± 4.1 years (range: 2.8 to 18 years). The average surgery duration was
51.1 ± 21.6 min. The average time from symptom onset to operation was 32.8 ± 33
h, while from CT scan to operation was 9.4 ± 10.3 h. Appendicoliths were
discovered in 55 (52.9%) instances, periappendiceal fat stranding in 86 (82.7%)
cases, extraluminal air in 21 (20.2%), ascites in 42 (40.4%) cases, and
symptoms of abscess in 15 (14.4%) patients. The average appendix diameter was
11.0 ± 3.2 mm, with females measuring 10.4 ± 3.0 mm and males measuring 11.5 ±
3.2 mm. The appendix vermiformis was classified as follows: just below the
anterior abdominal wall (Location 1) in 39 (37.5%) patients, in the retrocecal
or retro-ascending colon (Location 2) in 26 (25.0%) patients, and in the pelvis
covered by the small intestine (Location 3) in 39 (37.5%) patients.
Postoperative complications included wound infections in seven (6.7%) patients
and a single case (1.0%) of postoperative abscess. Three patients (2.9%)
required readmission. The mean length of stay (LOS) in the hospital was 3.75 ±
1 days, and the mean body temperature was 37.61 ± 0.5 °C. The average heart
rate was recorded at 90.42 ± 9.73 beats per minute (BPM) (Table
1).
Table 1.
The
demographic and clinical data of the patients.
|
Variables
|
Value
|
|
Number
of patients, n
|
104
|
|
Sex, n,
(M/F)
|
59/45
|
|
Age
(month)
|
140.9
± 49.3
|
|
BMI
(kg/m2)
|
20.7 ±
4.4
|
|
WBC
(per µL)
|
15.2 ±
5.3
|
|
NEU
(per µL)
|
12.2 ±
5.3
|
|
CRP
(mg/L)
|
68.3 ±
78.3
|
|
Symptom–operation
time (h)
|
32.8 ±
33.0
|
|
CT–operation
time (h)
|
9.4 ±
10.3
|
|
Operation
time (min)
|
51.1 ±
21.6
|
|
Appendix
diameter (mm)
|
11.0 ±
3.0
|
|
BPM
|
90.4 ±
9.7
|
|
Temperature
(°C)
|
37.6 ±
0.5
|
|
LOS
(days)
|
3.75 ±
1.00
|
|
Readmission, n (%)
|
3
(2.9)
|
|
Postop
wound infection, n (%)
|
7
(6.7)
|
|
Postop
abscess, n (%)
|
1 (1)
|
M: male;
F: female; BMI: body mass index; WBC: white blood cell count; NEU: neutrophil;
CRP: C-reactive protein; BPM: beats per minute, CT: computed tomography, LOS:
length of hospital stay.
The
study population had an average age of 140.9 ± 49.3 months. The average BMI was
20.7 ± 4.4. The WBC and NEU counts were 15.2 ± 5.3 and 12.2 ± 5.3 µL,
respectively, indicating usual inflammatory responses. Participants had
different amounts of inflammation, with an average CRP level of 68.3 ± 78.3
mg/L. The average time between symptom to operation is 32.8 ± 33.0 h, and the
average time from CT to operation is 9.5 ± 10.3. The comparison of demographic
and clinical data based on gender indicates that no statistically significant
differences were observed (p > 0.05) (Table
2).
Table 2.
The
demographic and clinical data of the patients by gender.
|
Variables
|
Female
(Mean ± SD)
|
Male
(Mean ± SD)
|
p-Value
|
|
Age
(month)
|
144.6
± 48.4
|
138.1
± 50.2
|
0.508
|
|
BMI
(kg/m2)
|
19.7 ±
4.3
|
21.4 ±
4.4
|
0.054
|
|
WBC
(per µL)
|
15.6 ±
5.8
|
14.9 ±
5.0
|
0.511
|
|
NEU
(per µL)
|
12.2 ±
5.5
|
12.2 ±
5.2
|
0.970
|
|
CRP
(mg/L)
|
77.8 ±
93.2
|
61.1 ±
64.7
|
0.283
|
|
Symptom—operation
time (h)
|
36.8 ±
37.1
|
29.8 ±
29.5
|
0.293
|
|
CT–operation
time (h)
|
9.9 ±
12.9
|
9.2 ±
7.9
|
0.740
|
|
Operation
time (min)
|
50.8 ±
26.7
|
51.2 ±
16.9
|
0.929
|
|
Appendix
diameter (mm)
|
10.3 ±
2.9
|
11.5 ±
3.2
|
0.066
|
|
BPM
|
89.6 ±
8.1
|
91.0 ±
10.8
|
0.466
|
|
Temperature
(°C)
|
37.60
± 0.46
|
37.61
± 0.48
|
0.942
|
|
LOS
(days)
|
3.88 ±
1.07
|
3.66 ±
0.92
|
0.247
|
BMI:
body mass index; WBC: white blood cell; NEU: neutrophil; CRP: C-reactive
protein; CT: computed tomography; SD: standard deviation, BPM: beats per
minute, LOS: length of hospital stay.
According
to the correlation analysis results presented in Table
3, the relationships between operation time and continuous variables were
evaluated. Analysis results revealed that some variables showed statistically
significant effects on operation time. NEU (p = 0.014), CRP levels
(p = 0.002), time from symptom onset to operation (p =
0.004), and appendicitis diameter (p = 0.017) were positively
significant between operation time. On the other hand, other variables such as
age, height, weight, BMI, WBC, BPM, temperature, and time from CT to operation
did not show a significant relationship with operation time (p >
0.05) (Table
3).
Table 3.
Correlation
analysis of operation time according to continuous variables.
|
Variables
|
Correlation
Coefficient (r)
|
p Value
|
|
Age
|
−0.095
|
0.336
|
|
Height
|
−0.121
|
0.222
|
|
Weight
|
−0.034
|
0.731
|
|
BMI
|
0.007
|
0.945
|
|
WBC
|
0.106
|
0.284
|
|
NEU
|
0.240
|
0.014
|
|
CRP
|
0.295
|
0.002
|
|
Symptom–operation
time
|
0.282
|
0.004
|
|
CT–operation
time
|
0.135
|
0.173
|
|
Appendix
diameter
|
0.234
|
0.017
|
|
BPM
|
0.031
|
0.758
|
|
Temperature
|
0.041
|
0.681
|
|
LOS
|
0.125
|
0.207
|
|
Total
score
|
0.415
|
<0.001
|
BMI:
body mass index; WBC: white blood cell; NEU: neutrophil; CRP: C-reactive
protein; CT: computed tomography, BPM: beats per minute, LOS: length of
hospital stay.
The
total score, ranging from zero to five, showed a significant and positive
correlation with operation time in the correlation analysis (correlation
coefficient = 0.415, p < 0.001, Figure
2).
Figure
2.

The
impact of a scoring system comprising five variables (0 to 5) from CT findings
on average operation time (min).
In the
analysis, to evaluate the effects of removing specific components from the
model on operation time, the results showed that the inclusion or exclusion of
certain variables significantly impacted model performance. When all components
were included, the model showed an R2 of 0.359, indicating that
35.9% of the variance in operation time was explained by the predictors, with
an F-value of 11.001 (p < 0.001). Removing the abscess variable
resulted in a drop in R2 to 0.271 and an increased standard
error of the estimate (SEE) to 18.883. Further removals of extraluminal air and
periappendicular fluid continued to decrease the model’s explanatory power,
with the removal of periappendicular fluid lowering R2 to 0.083
and the F-value to 4.575 (p = 0.013). Finally, removing
periappendicular fat-stranding reduced R2 to 0.029, with the
model’s performance becoming marginally significant (F = 3.012, p =
0.086). Based on the analysis, the abscess variable is the most important
factor in the model, and its removal significantly decreases the model’s
explanatory power and performance (Table
4).
Table 4.
Effect
of component removal on model performance for operation time.
|
Component
Removal
|
R2
|
Adj. R2
|
SEE
|
F-Value
|
p-Value
|
|
All
components included
|
0.359
|
0.327
|
17.739
|
11.001
|
<0.001
|
|
Abscess
removed
|
0.271
|
0.241
|
18.883
|
9.186
|
<0.001
|
|
Extraluminal
air removed
|
0.224
|
0.200
|
19.334
|
9.601
|
<0.001
|
|
Periappendicular
fluid removed
|
0.083
|
0.065
|
20.907
|
4.575
|
0.013
|
|
Periappendicular
fat-stranding removed
|
0.029
|
0.019
|
21.413
|
3.012
|
0.086
|
R2:
coefficient of determination, Adj. R2: adjusted R2, SEE:
standard error of the estimate.
The
relationships between categorical and continuous variables with operation time
were evaluated with univariate and multivariable analysis, and the results are
presented in Table
4 and Table
5. The results revealed that the presence of periappendiceal fat stranding,
periappendiceal fluid, extraluminal air, and an abscess had a substantial
impact on operation time. However, no significant association was found between
appendicolitis, appendix location with operation time. CRP levels,
symptom-to-operation time, CT-to-operation time, and appendix diameter showed a
significant correlation with operation time. However, other factors such as
age, BMI, WBC, and NEU did not have a significant impact on operation time (Table
5 and Table
6).
Table 5.
Results
of the univariate and multivariable analysis of the association between the
operation time and categorical variables.
|
Variables
|
Operation
Time (min)
(Mean ± SD)
|
Univariate
Analysis
p-Value
|
Multivariable
Analysis
Coefficient (95% CI)
|
p-Value
|
|
Appendicolith
|
|
|
|
|
|
Absent
(n = 49)
|
47.2 ±
18.5
|
0.165
|
7.30
(−1.04 to 15.64)
|
0.086
|
|
Present
(n = 55)
|
54.5 ±
23.7
|
|
Periappendiceal
fat standing
|
|
|
|
|
|
Absent
(n = 18)
|
38.9 ±
13.3
|
0.007
|
14.77
(3.98–25.56)
|
0.008
|
|
Present
(n = 86)
|
53.7 ±
22.2
|
|
Periappendiceal
fluid
|
|
|
|
|
|
Absent
(n = 62)
|
43.2 ±
10.1
|
<0.001
|
19.71
(12.01–27.40)
|
<0.001
|
|
Present
(n = 42)
|
62.9 ±
28.0
|
|
Extraluminal
air
|
|
|
|
|
|
Absent
(n = 83)
|
46.3 ±
14.2
|
<0.001
|
23.97
(14.55–33.38)
|
<0.001
|
|
Present
(n = 21)
|
70.2 ±
33.2
|
|
Abscess
|
|
<
0.001
|
|
|
|
Absent
(n = 89)
|
46.2 ±
13.7
|
33.76
(23.72–43.79)
|
<0.001
|
|
Present
(n = 15)
|
80.0 ±
34.9
|
|
Appendix
localization
|
|
|
|
|
|
Location
1 (n = 39)
|
48.1 ±
16.7
|
|
|
|
|
Location
2 (n = 26)
|
48.7 ±
22.0
|
0.235
|
0.57
(−10.23 to 11.38)
|
0.916
|
|
Location
3 (n = 39)
|
55.8 ±
25.2
|
|
|
|
Localization
of the appendix was classified using three locations: Location 1: just below
the anterior abdominal wall; Location 2: in the retrocecal or retro-ascending
colon; Location 3: in the pelvis, on the ventral side covered by the small
intestine. (R2: 0.359).
Table 6.
Results
of the univariate and multivariable analysis of the association between the
operation time and continuous variables.
|
Variables
|
Value
(Mean ± SD)
|
Univariate
Analysis p-Value
|
Multivariable
Analysis
Coefficient (95% CI)
|
p-Value
|
|
Age
(month)
|
140.9
± 49.3
|
0.211
|
−0.02
(−0.117 to 0.065)
|
0.574
|
|
BMI
(kg/m2)
|
20.7 ±
4.4
|
0.945
|
0.31
(−0.66 to 1.28)
|
0.524
|
|
WBC
(per µL)
|
15.2 ±
5.4
|
0.317
|
0.12
(−0.59 to 0.83)
|
0.736
|
|
NEU
(per µL)
|
12.2 ±
5.3
|
0.029
|
0.51
(−0.21 to 1.24)
|
0.162
|
|
CRP
(mg/L)
|
68.3 ±
78.4
|
<0.001
|
0.05
(0.00–0.11)
|
0.034
|
|
Symptom–operation
time (h)
|
32.8 ±
33.0
|
<0.001
|
0.25
(0.10–0.40)
|
0.001
|
|
CT–operation
time (h)
|
9.5 ±
10.3
|
0.946
|
−0.46
(−0.90 to −0.02)
|
0.039
|
|
Appendix
diameter (mm)
|
11.0 ±
3.0
|
0.090
|
1.42
(0.12–2.72)
|
0.032
|
BMI:
body mass index; WBC: white blood cell; Neu: neutrophil; CRP: C-reactive
protein; CT: computed tomography.
Our
analysis of the relationship between symptom duration and operation time
revealed that symptom duration does not have a linear effect on operation time.
The second-degree polynomial model and LOESS method demonstrated significant
fluctuations in operation time as symptom duration increases, indicating a
nonlinear relationship (Figure
3). Based on this, we divided the patients into two groups: those with a
symptom duration of 2 days or less and those with more than 2 days.
Figure
3.

LOESS
curve depicting the nonlinear relationship between symptom duration and
operation time.
According
to the multiple regression analysis results presented in Table
6, the effects of various variables on operation time were examined. The
results show that a symptom duration exceeding 2 days (p = 0.047)
and the time from CT to operation (p = 0.039) had a significant
effect on operative time. Additionally, the presence of an abscess (p =
0.005) also significantly affects the operation time. Other variables, age,
appendix diameter, BMI, NEU/WBC, CRP, presence of appendicolith,
periappendiceal fat stranding, periappendiceal fluid, extraluminal air, and
appendix localization, did not have a significant effect on the operation time
(p > 0.05). The overall explanatory ratio R2 value
of the model was “0.433”, indicating that the independent variables have a
certain effect on the operation time (Table
7).
Table 7.
Results
of the multiple regression analysis.
|
Variables
|
Coefficient
|
SD
|
t-Value
|
CI
[0.025–0.975]
|
p-Value
|
|
Age
|
0.03
|
0.04
|
0.704
|
[−0.05
to 0.12]
|
0.483
|
|
Appendix
diameter
|
0.08
|
0.77
|
0.108
|
[−1.45
to 1.62]
|
0.915
|
|
BMI
|
0.28
|
0.45
|
0.623
|
[−0.61
to 1.18]
|
0.535
|
|
CRP
|
−0.10
|
0.02
|
−0.369
|
[−0.06
to 0.04]
|
0.713
|
|
NEU/WBC
|
3.64
|
20.94
|
0.174
|
[−37.95
to 45.24]
|
0.862
|
|
Symptom
duration (<2/>2 days)
|
10.74
|
0.001
|
2.351
|
[0.00
to 0.005]
|
0.047
|
|
CT–operation
time
|
−0.007
|
0.003
|
−2.093
|
[−0.01
to −0.001]
|
0.039
|
|
Appendicolith
|
0.82
|
4.16
|
0.199
|
[−7.43
to 9.09]
|
0.843
|
|
Periappendiceal
fat stranding
|
6.67
|
5.20
|
1.284
|
[−2.10
to 18.63]
|
0.203
|
|
Periappendiceal
fluid
|
8.54
|
5.00
|
1.707
|
[−1.40
to 18.48]
|
0.091
|
|
Extraluminal
air
|
0.54
|
7.82
|
−0.070
|
[−15.00
to 16.10]
|
0.944
|
|
Abscess
|
25.31
|
8.74
|
2.896
|
[7.95
to 42.68]
|
0.005
|
|
Localization
|
3.43
|
2.11
|
1.623
|
[−0.76
to 7.64]
|
0.108
|
BMI:
body mass index; WBC: white blood cell; Neu: neutrophil; CRP: C-reactive
protein; CT: computed tomography. R2: 0.433.
The
median operation time was determined to be 50 min based on our distribution
analysis. Using this median as a threshold, operation times exceeding 50 min
were classified as long operation time groups. We then compared the clinical
and laboratory characteristics between the groups to identify factors
influencing prolonged versus shorter operation times. In the long operation
time group, CRP levels were significantly higher (p = 0.002),
symptom-to-operation time was longer (p < 0.001), and the
duration of symptoms exceeding 2 days was more common (p = 0.016).
Additionally, periappendiceal fluid (p < 0.001), extraluminal
air (p < 0.001), and the presence of an abscess (p <
0.001) were more frequently observed in the long operation time group. No
significant differences were found between the groups for other variables such
as gender, age, BMI, and appendix diameter (Table
8).
Table 8.
Comparison
of clinical and laboratory characteristics between short and long operation
time groups.
|
Variable
|
Total
(n = 104) (Mean ± SD/%)
|
Short
Operation Time Group (n = 75)
|
Long
Operation Time Group (n = 29)
|
p-Value
|
|
Operation
time (min)
|
51.11
± 21.62
|
41.53
± 8.65
|
75.86
± 25.32
|
NA
|
|
Sex
(F/M)
|
45/59
|
32/43
|
13/16
|
0.842
|
|
Age
(month)
|
140.9
± 49.3
|
142.2
± 50.0
|
137.7
± 48.2
|
0.599
|
|
Appendix
diameter (mm)
|
11.1 ±
3.0
|
10.7 ±
3.2
|
11.9 ±
2.4
|
0.106
|
|
BMI
(kg/m2)
|
20.7 ±
4.4
|
20.6 ±
4.4
|
21.0 ±
4.6
|
0.704
|
|
CRP
(mg/L)
|
68.4 ±
78.4
|
54.1 ±
63.9
|
105.3
± 99.2
|
0.002
|
|
NEU/WBC
|
0.73 ±
0.10
|
0.72 ±
0.10
|
0.76 ±
0.08
|
0.118
|
|
Symptom–operation
time (h)
|
32.8 ±
33.0
|
26.9 ±
30.0
|
48.2 ±
35.0
|
<0.001
|
|
Symptom
duration < 2 days
|
81
(77.9%)
|
63
(84.0%)
|
18
(62.1%)
|
0.016
|
|
Symptom
duration > 2 days
|
23
(22.1%)
|
12
(16.0%)
|
11
(37.9%)
|
|
CT–operation
time (h)
|
9.5 ±
10.0
|
9.0 ±
10.0
|
10.6 ±
9.0
|
0.059
|
|
Appendicolith
|
55
(52.9%)
|
37
(49.3%)
|
18
(62.1%)
|
0.243
|
|
Periappendiceal
fat stranding
|
86
(82.7%)
|
59
(78.7%)
|
27
(93.1%)
|
0.081
|
|
Periappendiceal
fluid
|
42
(40.4%)
|
21
(28.0%)
|
21
(72.4%)
|
<0.001
|
|
Extraluminal
air
|
21
(20.2%)
|
8
(10.7%)
|
13
(44.8%)
|
<0.001
|
|
Abscess
|
15
(14.4%)
|
3
(4.0%)
|
12
(41.4%)
|
<0.001
|
|
Wound
infection
|
7
(6.7%)
|
3
(4.0%)
|
4
(13.8%)
|
0.074
|
|
Postop
abscess
|
1 (1%)
|
0 (0%)
|
1
(3.4%)
|
0.106
|
|
BPM
|
90.4 ±
9.7
|
90.8 ±
9.1
|
89.4 ±
11.4
|
0.442
|
|
Temperature
(°C)
|
37.61
± 0.5
|
37.62
± 0.5
|
37.56
± 0.5
|
0.497
|
|
LOS
(days)
|
3.75 ±
1.0
|
3.68 ±
0.9
|
3.96 ±
1.0
|
0.773
|
|
Readmission
|
3
(2.9%)
|
2
(2.7%)
|
1
(3.4%)
|
0.831
|
F:
female, M: male, BMI: body mass index, CRP: C-reactive protein, WBC: white
blood cell; Neu: neutrophil; BPM: beats per minute, LOS: length of hospital
stay, SD: standard deviation, NA: not applicable.
In our
study, we also conducted an analysis to examine the factors affecting operation
time between two groups classified based on intraoperative findings: perforated
and non-perforated appendicitis. In patients with perforated appendicitis, the
presence of a periappendiceal abscess on CT was found to be significantly
associated with prolonged operative time (p = 0.020). However, no
significant differences were observed in age, gender, BMI, CRP, or other
clinical parameters. In the non-perforated group, the presence of
periappendiceal fluid on CT was significantly associated with prolonged
operation time (p = 0.026), while no significant differences were
noted for other variables (Table
9 and Table
10).
Table 9.
Distribution
and statistical comparison of variables based on short and long operation times
in non-perforated appendicitis.
|
Variable
|
Total
(n = 82)
|
Short
Operation Time (n = 67)
|
Long
Operation Time (n = 15)
|
p-Value
|
|
Age
(month)
|
150.9
± 44.2
|
149.2
± 46.7
|
158.9
± 30.5
|
0.444
|
|
Sex
|
Female
|
36
(43.9%)
|
30
(44.8%)
|
6
(40%)
|
0.736
|
|
Male
|
46
(56.1%)
|
37
(55.2%)
|
9
(60%)
|
|
BMI
(kg/m2)
|
21.1 ±
4.2
|
20.8 ±
4.3
|
22.6 ±
3.3
|
0.143
|
|
CRP
(mg/L)
|
50.2 ±
58.6
|
48.4 ±
61.2
|
58.0 ±
46.3
|
0.570
|
|
NEU/WBC
|
0.72 ±
0.10
|
0.71 ±
0.10
|
0.75 ±
0.08
|
0.217
|
|
BPM
|
90.9 ±
10.0
|
91.2 ±
9.2
|
89.9 ±
13.4
|
0.663
|
|
Temperature
(°C)
|
37.6 ±
0.5
|
37.6 ±
0.5
|
37.5 ±
0.5
|
0.730
|
|
Symptom–operation
time (h)
|
27.8 ±
27.8
|
25.9 ±
28.7
|
36.4 ±
22.4
|
0.185
|
|
Symptom
duration
|
<2
days
|
68
(82.9%)
|
57
(85.1%)
|
11
(73.3%)
|
0.275
|
|
>2
days
|
14(17.1%)
|
10
(14.9%)
|
4
(26.7%)
|
|
|
CT–operation
time (h)
|
9.0 ±
10.2
|
9.0 ±
11.1
|
9.1 ±
4.6
|
0.974
|
|
LOS
(days)
|
3.75 ±
1.00
|
3.68 ±
0.95
|
4.06 ±
1.16
|
0.185
|
|
Appendix
diameter (mm)
|
10.9 ±
3.2
|
10.7 ±
3.3
|
11.8 ±
2.6
|
0.195
|
|
Apendicolith
|
Absent
|
43
(52.4%)
|
35
(52.2%)
|
8
(53.3%)
|
0.939
|
|
Present
|
39
(47.6%)
|
32
(47.8%)
|
7
(46.7%)
|
|
Periappendiceal
fat standing
|
Absent
|
17
(20.7%)
|
15
(22.4%)
|
2
(13.3%)
|
0.434
|
|
Present
|
65
(79.3%)
|
52
(77.6%)
|
13
(86.7%)
|
|
Periappendiceal
fluid
|
Absent
|
62
(75.6%)
|
54
(80.6%)
|
8
(53.3%)
|
0.026
|
|
Present
|
20
(24.4%)
|
13
(19.4%)
|
7
(46.7%)
|
|
Abscess
|
Absent
|
82
(100%)
|
67
(100%)
|
15
(100%)
|
NA
|
|
Present
|
0 (0%)
|
0 (0%)
|
0 (0%)
|
BMI:
body mass index; CRP: C-reactive protein; LOS: length of hospital stay; BPM:
beats per minute; NA: not applicable.
Table
10.
Distribution
and statistical comparison of variables based on short and long operation times
in perforated appendicitis.
|
Variable
|
Total
(n = 22)
|
Short
Operation Time (n = 8)
|
Long
Operation Time (n = 14)
|
p-Value
|
|
Age
(month)
|
103.5
± 50.2
|
83.4 ±
37.4
|
115.0
± 54.1
|
0.161
|
|
Sex
|
Female
|
9
|
2
(25%)
|
7
(50%)
|
0.251
|
|
Male
|
13
|
6
(75%)
|
7
(50%)
|
|
BMI
(kg/m2)
|
19.2 ±
5.0
|
18.8 ±
4.7
|
19.4 ±
5.4
|
0.809
|
|
CRP
(mg/L)
|
136.1
± 103.8
|
101.2
± 70.8
|
156.0
± 116.3
|
0.243
|
|
NEU/WBC
|
0.78 ±
0.07
|
0.79 ±
0.06
|
0.77 ±
0.08
|
0.600
|
|
BPM
|
88.4 ±
8.4
|
87.7 ±
7.7
|
88.8 ±
9.1
|
0.789
|
|
Temperature
(°C)
|
35.6 ±
0.42
|
37.6 ±
0.5
|
37.54
± 0.4
|
0.631
|
|
Symptom–operation
time (h)
|
51.6 ±
43.6
|
35.5 ±
41.4
|
60.8 ±
43.6
|
0.198
|
|
Symptom
duration
|
<2
days
|
13
(59.1%)
|
6
(75%)
|
7
(50%)
|
0.251
|
|
>2
days
|
9
(40.9%)
|
2
(25%)
|
7
(50%)
|
|
CT–operation
time (h)
|
11.1 ±
11
|
9.30 ±
9.50
|
12.25
± 11.98
|
0.559
|
|
LOS
(days)
|
3.77 ±
0.97
|
3.62 ±
1.06
|
3.85 ±
0.94
|
0.602
|
|
Appendix
diameter (mm)
|
11.7 ±
2.2
|
11.4 ±
2.0
|
11.9 ±
2.4
|
0.661
|
|
Apendicolith
|
Absent
|
6
(27.3%)
|
3
(37.5%)
|
3
(21.4%)
|
0.416
|
|
Present
|
16
(72.7%)
|
5
(62.5%)
|
11
(78.6%)
|
|
Periappendiceal
fat standing
|
Absent
|
1
(4.5%)
|
1
(12.5%)
|
0 (0%)
|
0.176
|
|
Present
|
21
(95.5%)
|
7
(87.5%)
|
14
(100%)
|
|
Periappendiceal
fluid
|
Absent
|
0 (0%)
|
0 (0%)
|
0 (0%)
|
NA
|
|
Present
|
22
(100%)
|
8
(100%)
|
14
(100%)
|
|
Abscess
|
Absent
|
7
(31.8%)
|
5
(62.5%)
|
2
(14.3%)
|
0.020
|
|
Present
|
15
(68.2%)
|
3
(37.5%)
|
12
(85.7%)
|
BMI:
body mass index; CRP: C-reactive protein, LOS: length of hospital stay; BPM:
beats per minute; NA: not applicable.
4.
Discussion
In our
study, preoperative CT findings were shown to play an important role in
predicting the duration of surgery in pediatric patients undergoing
laparoscopic appendectomy. Specifically, CT findings such as periappendiceal
fluid, extraluminal air, and the presence of a periappendiceal abscess were
significantly associated with prolonged operation times. Additionally, elevated
CRP levels, the waiting time between the CT imaging and the surgery time, and a
symptom duration of more than 2 days were found to be significantly related to
prolonged operation times. Furthermore, this study discovered a link between
the CT findings and the scoring system developed from these findings and the
operation time.
There
are several studies with diverse findings on the factors influencing the
duration of laparoscopic appendectomy. Siewert et al. [2]
demonstrated that preoperative CT findings can be used to predict operative
time and complications during laparoscopic appendectomy. Hosokawa et al. [18]
discovered that an increase in intra-abdominal fat density and a retrocecal or
retro-ascending colon-located appendix prolonged the operation time in
pediatric patients. Kohga et al. [19]
discovered that the presence of free air was an independent predictor of the
development of an intraabdominal abscess. These findings suggest that
preoperative CT is a useful tool for predicting postoperative complications and
estimating operative time, particularly in complex cases. Our study showed that
higher total scores represent more complex surgical cases, and this prolongs
the operation time. This finding revealed that as the total score increases,
the operation time also increases, and surgeons spend more time dealing with
more complex situations. Therefore, evaluating these parameters in the
preoperative period may help surgeons predict the duration and degree of
difficulty of the operation. However, in our multivariable regression analysis,
only periappendiceal abscess was independently associated with operation time.
Therefore, while the scoring system can be used as a guide to estimate overall
surgical complexity, the independent effect of each component on operation time
is limited.
Factors
such as being overweight, having high C-reactive protein (CRP) levels,
experiencing symptoms for more than 3 days, having an appendix diameter greater
than 10 mm, the presence of free air, and the presence of an abscess on CT are
findings supporting complicated appendicitis and all independent predictors of
prolonged laparoscopic surgery time [12,20].
In cases of complicated appendicitis, additional procedures such as
intra-abdominal irrigation and drainage tube placement are often required,
which may prolong surgery time [21,22].
In the study conducted by Jeon et al., it was demonstrated that CRP exhibited a
significant correlation with operation time, while WBC and NEU showed no
correlation [12].
In our study, a significant relationship was found between increasing CRP levels
and prolonged operation time in both univariate and multivariable analyses.
However, while high WBC and NEU levels showed a positive correlation with
surgical times, no significant relationship was observed in multivariable
analyses. Furthermore, our study found that the duration of symptoms, CT
operation time, and the presence of a periappendiceal abscess were directly
related to operative time, with regression analysis confirming these as
independent factors.
Although
laparoscopic surgery was once considered a relative contraindication in
overweight patients, this perception has evolved with increasing surgical
experience. Enjoji et al. conducted a study revealing a correlation between an
increase in BMI value and the duration of surgery in adult patients undergoing
three-port laparoscopic appendectomy [11].
Another study by Enochsson et al. found that being overweight, defined as
having a BMI > 26.4, significantly prolonged the duration of surgery in open
appendectomy, but this negative impact of being overweight was not observed in
laparoscopic appendectomy [16].
Contrarily, Hosokawa et al. demonstrated in their studies that there is no
relationship between BMI and the duration of surgery [18,23].
Similarly, in our current study, no correlation was identified between BMI and
operation time.
In our
study, we also analyzed the factors affecting operation times in both
perforated and non-perforated patient groups. In the study by Jeon et al. [12],
the appendiceal diameter was associated with prolonged operation time in
non-perforated appendicitis, whereas periappendiceal abscess was identified as
a more significant factor in perforated cases. Similarly, in our study, the
presence of a periappendiceal abscess was the most important factor
contributing to prolonged operative time in the perforated group. However, in
the non-perforated group, periappendiceal fluid was identified as the main
factor influencing operation time. Appendiceal diameter did not have a
significant effect in either group.
In rare
anatomical positions, laparoscopic appendectomy proves to be a preferable
option over the open technique. This preference arises from the surgeon’s
ability to strategically select trocars and determine their placement once the
camera is introduced, and the appendix is properly positioned, contrary to some
studies indicating a statistically longer mean operative time in retrocecal and
subhepatic groups compared to other anatomical positions [16,18,23].
Based on our study findings, the location of the appendix is not associated
with the duration of the operation.
The
strengths of our study increase the reliability and accuracy of our results. At
first, this study is advantageous due to its substantial sample size, which
provides high statistical power and the ability to apply the findings to a
larger sample. In addition, the patient cohort demonstrated homogeneity, which
minimized variation and enhanced the statistical significance of the results
for a specific population group. Furthermore, it is important to note that the
surgical procedures were consistently performed by a single surgeon, using the
same technique. This conscious approach was carried out to eliminate any
potential variations between surgeons and ensure that any variation in surgical
outcomes could not be related to differences in surgical expertise or
methodology. Together, these strengths enhance the long-term reliability of the
findings from our study.
This
study has some limitations. First, because this study was retrospective, we
were unable to assess additional factors that could influence operation time,
considering the fact that all procedures were performed by the same surgeon
using the same technique. Second, the utilization of CT scans for patient
evaluation, with the resulting radiation exposure, is an important obstacle.
Third, due to the limited sample size, the relationship between prolonged
operation time and postoperative outcomes could not be adequately assessed.
Future prospective research with larger patient groups will provide further
understanding of this topic.
5.
Conclusions
In
conclusion, our investigations indicate that preoperative CT findings, elevated
CRP levels, and a symptom duration of more than 2 days have a significant
impact on the duration of laparoscopic appendectomy. In particular, among the
CT findings, the presence of a periappendiceal abscess emerged as the strongest
independent predictor of operation time. While the five-point CT-based scoring
system provides a general framework for assessing surgical complexity, its
predictive power for operation time is limited, as not all components
significantly influence surgical duration. Future studies with larger patient
cohorts and more comprehensive analyses are needed to refine and validate these
predictive models.
Author
Contributions
I.T.:
Conceptualization, Methodology, Writing—Original Draft, Visualization. B.E.:
Supervision, Formal Analysis, Writing—Review and Editing. M.A.N.:
Investigation, Resources, Data Curation. All authors have read and agreed to
the published version of the manuscript.
Institutional
Review Board Statement
This
study was reviewed and approved by Kastamonu University Clinical Research
Ethics Committee (approval code: 2022–KAEK-104 approval date: 19 October 2022).
Informed
Consent Statement
Patients
were not required to give informed consent to this study because the analysis
used anonymous clinical data that were obtained after each patient agreed to treatment
by written consent.
Data
Availability Statement
The raw
data supporting the conclusions of this article will be made available by the
authors upon request.
Conflicts
of Interest
The
authors declare no conflicts of interest.
Funding
Statement
This research
received no external funding.
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