Abstract
Delayed diagnosis of female genital tuberculosis (FGTB) can lead to inappropriate treatment and unnecessary surgical procedures rather than standard anti-TB medication. We tried to evaluate the use of computed tomography (CT) imaging to differentiate TB peritonitis from peritoneal carcinomatosis of advanced epithelial ovarian cancer (AEOC). We investigated women who underwent CT to distinguish between TB peritonitis and peritoneal carcinomatosis of AEOC. We evaluated various CT imaging features to identify differences between the two diseases. In addition, we performed univariate and multivariate logistic regression analyses to identify the independent imaging parameters associated with TB peritonitis and evaluated the diagnostic performance of the combined imaging parameters. We also performed the histopathological analysis of the available salpinx specimens of TB peritonitis. We included 25 women with TB peritonitis and 34 women with peritoneal carcinomatosis of AEOC. A multivariate analysis of the discriminant CT imaging features between the two diseases revealed that changes in fallopian tubes and peritoneal micronodules were independent parameters associated with TB peritonitis (pāā¤ā0.012). Combining the two imaging parameters showed an area under the receiver operating characteristic curve of 0.855, a sensitivity of 88.0%, and a specificity of 67.7% for differentiating TB peritonitis from peritoneal carcinomatosis. Furthermore, changes in fallopian tubes were correlated with histopathological abnormalities in salpinx specimens. Pretreatment CT evaluation with useful imaging features could help differentiate TB peritonitis from peritoneal carcinomatosis of AEOC.
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Introduction
Tuberculosis (TB) is an infectious disease and its eradication is a global priority for the World Health Organization1. TBās extrapulmonary forms are lymph nodal, pleural, and urogenital. Female genital tuberculosis (FGTB) is the fourth most common cause of extrapulmonary TB, which generally affects 20- to 40-year-old women and is rare in postmenopausal women2,3. FGTB infection occurs via two mechanisms: that is hematogenous/lymphatic spread from a primary site or sexual transmission4. The specific sites of involvement are the fallopian tube (95ā100%), endometrium (50ā60%), ovary (20ā30%), cervix (5ā15%), myometrium (2ā5%), and vagina/vulva (1%)5. FGTB presents with the symptoms of infertility, pelvic pain, vaginal bleeding, amenorrhea, leukorrhea, or postmenopausal bleeding, but is frequently asymptomatic. Physicians often underestimate FGTB because of its rarity and nonspecific symptoms6. The delayed diagnosis of FGTB by physicians can lead to inappropriate treatment and notably unnecessary surgical procedures instead of standard anti-TB medication7.
FGTB usually accompanies TB peritonitis namely, an extrapulmonary TB with the diffuse involvement of the peritoneal cavity8. Computed tomography (CT) is a useful and popular diagnostic imaging modality for evaluating women with abdominal distension. CT scans can identify omental infiltration, peritoneal nodules, and ascites in women with TB peritonitis9. These are diagnostic differential findings for women with TB peritonitis and peritoneal carcinomatosis of advanced epithelial ovarian cancer (AEOC) based on the size and shape of the adnexal masses and peritoneal nodules, but it is challenging for gynecologic oncologists and radiologists to find differences between the two diseases10,11. Furthermore, it is more difficult to differentiate women without definite ovarian masses in AEOC and women with TB peritonitis in CT scans12. Thus a substantial number of women with TB peritonitis undergo laparoscopy because of difficulties in differential diagnosis. Unfortunately, some women may undergo radical and unnecessary surgery, such as unilateral or bilateral salpingo-oophorectomy and hysterectomy, because of the surgeonās lack of medical proficiency, confused laparoscopic findings related to TB peritonitis and peritoneal carcinomatosis, and inaccessibility of frozen section analysis. These surgeries damage fertility, and affected women may encounter surgical complications throughout their lives. The relationship between patients and their physicians can also deteriorate, leading to medicolegal issues3,7. However, few studies have reported differential diagnostic findings for the two diseases based on CT scans12,13,14,15.
Therefore, our study evaluated clinically whether pretreatment CT imaging features are useful for the differential diagnosis of TB peritonitis from peritoneal carcinomatosis of AEOC.
Materials and methods
Study population
The Institutional Review Board of Hanyang University Hospital approved this retrospective study and the requirement for informed consent was waived due to its retrospective nature (IRB No. HYUH 2021-04-089). All methods followed the relevant guidelines and regulations. We conducted a retrospective review of the clinical charts, including the patientās age, symptoms and signs, surgical procedures, serum levels of tumor markers of CA125 and CA19-9, histopathological reports, surgically related complications, and picture archiving and communication system of women who underwent CT for the differential diagnosis of TB peritonitis and peritoneal carcinomatosis of AEOC from May 2004 to June 2020.
The inclusion criteria were as follows: (1) histopathological confirmation of TB peritonitis or peritoneal carcinomatosis of AEOC, (2) available pretreatment CT, and (3) ovarian mass sizeā<ā4Ā cm for peritoneal carcinomatosis. Exclusion criteria were as follows: (1) no available pathological diagnosis, (2) ovarian mass sizeāā„ā4Ā cm for peritoneal carcinomatosis because women with TB peritonitis usually have small adnexal mass (<ā4Ā cm), and (3) poor CT image quality for evaluation (Fig.Ā 1). We excluded ovarian cancer patients with an ovarian massāā„ā4Ā cm, because the differential diagnosis of TB peritonitis from peritoneal carcinomatosis of normal-sized ovarian cancer is more challenging when the ovarian mass isā<ā4Ā cm12. Diffuse peritoneal abnormalities accompanied by an adnexal mass large enough to distinguish enhancing solid portion (ā„ā4Ā cm) could be easily diagnosed as peritoneal carcinomatosis by ovarian cancer.
Study population.
CT techniques
All women underwent CT examination using 16- or 64-detector row CTs (Somatom Sensation 16, Somatom Definition Edge, and Somatom Definition FLASH [Siemens Healthineers, Erlangen, Germany]; Brilliance 64 [GE Healthcare, Chicago, IL, USA]). An unenhanced image of the pelvis was acquired first, and the portal venous phase of the abdomen and pelvis (PVP; 70Ā s) was obtained after an intravenous iodine contrast injection of 120ā150Ā mL iodine contrast (Bonorex, Central Medical Service) at a rate of 3Ā mL/s using a power injector.
Imaging analysis
Two board-certified radiologists (each with 6Ā years of experience in genitourinary imaging) independently evaluated the CT images blinded to all women's final diagnoses. Discordant cases were resolved by a third board-certified radiologist with 10Ā years of experience in genitourinary imaging (anonymized). Initially, the ovarian masses were assessed as none, unilateral, or bilateral. We measured the size of the ovarian mass on the axial scan, and used the mean size in the case of bilateral ovarian masses. The radiologists evaluated the following CT imaging features: (1) presence of changes in fallopian tubes (hydrosalpinx or tubal enhancement); (2) mean ovarian attenuation (mean Hounsfield unit of each ovarian measurement); (3) peritoneal nodule (micronodules or macronodules); (4) pattern of omentum (none, infiltration, nodular, or caked appearance); (5) amount of ascites; and (6) mean ascites attenuation (mean value of two site measurements in the pelvic cavity).
We defined the peritoneal macronodules when there were any peritoneal nodules or masses the size ofāā„ā5Ā mm. In contrast, the remaining cases showed diffuse peritoneal infiltration and nodularity without discrete peritoneal nodules or massesāā„ā5Ā mm as peritoneal micronodules. Representative cases for each imaging feature are shown in Fig.Ā 2.
Representative cases of CT imaging features. (A) Hydrosalpinx, (B) fallopian tube enhancement, (C) peritoneal micronodule, and (D) peritoneal macronodule.
Reference standard and histopathologic analysis
All 34 women with peritoneal carcinomatosis of AEOC were pathologically confirmed after surgery. Among 25 women with TB peritonitis, 20 (20/25, 80.0%) were pathologically confirmed after surgery. The remaining five women (5/25, 20.0%) were diagnosed with TB peritonitis after percutaneous peritoneal biopsy or ascites aspiration.
We performed the histopathological analysis of five TB peritonitis adnexectomy specimens compared to peritoneal carcinomatosis. Adnexectomy is not usually performed in women with TB peritonitis. However, in the case of these five patients, the uncertainty of surgical findings and frozen section analysis led to adnexectomy, and we could perform histopathologic analysis of TB peritonitis salpinges.
Statistical analysis
Continuous variables were compared using the MannāWhitney U test, while categorical variables were compared using the chi-square test between TB peritonitis and peritoneal carcinomatosis. We performed a univariate logistic regression analysis using significantly different parameters between the two diseases. A subsequent multivariate logistic regression analysis was performed to identify independent parameters associated with TB peritonitis. The diagnostic performance of each imaging parameter and their combination for the differential diagnosis of TB peritonitis from peritoneal carcinomatosis was evaluated using the area under the receiver operating characteristic curve (AUC), calculating the sensitivity, specificity, positive and negative predictive values, and diagnostic accuracy. The interobserver agreements for the key imaging features were evaluated between the two radiologists using kappa statistics as follows: 0.00ā0.20, poor; 0.21ā0.40, fair; 0.41ā0.60, moderate; 0.61ā0.80, good; and 0.81ā1.00, excellent agreement. Statistical significance was set at pā<ā0.05. All statistical analyses were performed using SPSS software (version 26.0; IBM SPSS, Armonk, NY, USA).
Ethics approval
The Institutional Review Board of Hanyang University Hospital approved this study.
Results
Baseline demographics and clinical characteristics of the patients
In this study, 25 women had TB peritonitis, and 34 had peritoneal carcinomatosis of AEOC. The median age was 57Ā years (24ā96Ā years) for TB peritonitis and 62Ā years (33ā78Ā years) for peritoneal carcinomatosis. In TB peritonitis, 13 (52.0%) and five (20.0%) out of 25 women showed bilateral and unilateral ovarian masses, respectively. In CT scans, seven out of 25 women with TB peritonitis (28.0%) showed no discernible ovarian masses. Twenty-nine out of 34 women with peritoneal carcinomatosis (85.3%) showed bilateral ovarian masses, and the remaining five (14.7%) had a unilateral ovarian mass; on the right in one patient and on the left in four patients (Table 1). The median CA125 and CA19-9 levels were not significantly different between the TB peritonitis and peritoneal carcinomatosis (CA125, 352.1Ā IU/mL vs. 981.1Ā IU/mL, pā=ā0.052; CA19-9, 5.0Ā IU/mL vs. 6.7Ā IU/mL, pā=ā0.470).
Discriminant CT imaging features between TB peritonitis and peritoneal carcinomatosis
Table 2 shows the characteristics of CT imaging features of TB peritonitis and peritoneal carcinomatosis. Women with TB peritonitis had more changes in their fallopian tube, more peritoneal micronodules, and fewer macronodules than women with peritoneal carcinomatosis (64.0% vs. 8.8%, pā<ā0.001; 52.0% vs. 23.5% and 48.0% vs. 76.5%, pā=ā0.024). In the univariate logistic regression analysis using significantly different imaging features between the two diseases, changes in fallopian tubes, no adnexal mass, and peritoneal micronodules were significantly associated with TB peritonitis (pāā¤ā0.027). In the subsequent multivariate analysis, changes in fallopian tube and peritoneal micronodules were independent parameters associated with TB peritonitis (pāā¤ā0.012) (Table 3). When we combined the two independent imaging parameters, the AUC for differentiating TB peritonitis from peritoneal carcinomatosis was 0.855, with a sensitivity of 88.0% (95% confidence interval [CI], 68.8ā97.5]. The specificity was 67.7% (95% CI 49.5ā82.6), the positive predictive value was 66.7% (95% CI 54.6ā76.9), the negative predictive value was 88.5% (95% CI 72.1ā95.8), and diagnostic accuracy was 77.8% (95% CI 65.1ā87.6). The kappa values for changes in fallopian tube and peritoneal micronodules were 0.708 and 0.778, respectively, which indicated a good agreement for the imaging features. A representative case of TB peritonitis in a CT scan and diagnostic laparoscopy is shown in Fig.Ā 3.
A case of TB peritonitis in a 28-year-old Korean woman. (A) In CT, there were bilateral ovarian masses [Rt. 4.9Ā cm (not shown), Lt. 4.5Ā cm (arrowheads)] in the pelvic cavity with hydrosalpinx (arrows). (B) There were diffuse peritoneal infiltration and nodularity without discrete peritoneal nodules or massesā>ā5Ā mm, considered peritoneal micronodules (arrow). The levels of CA125 and CA19-9 were 104.4Ā IU/mL and 1.3Ā IU/mL, respectively. Laparoscopic bilateral salpingectomy and left ovarian cystectomy were performed. (C) Diagnostic laparoscopy showed multiple miliary nodules on the uterine and peritoneal surfaces.
Histopathologic pathologic results in comparison of two diseases
In histopathological analysis, all salpinges of peritoneal carcinomatosis of AEOC showed loss of cilia and the presence of atypia in the tubal epithelium. In contrast, the salpinges of TB peritonitis revealed dilated and congested blood vessels and fibrosis in the serosa surface in all five cases. Three cases of salpinges showed multiple epithelioid cell granulomas with multinucleated giant cells on the serosal surface. In addition, the epithelial cells lining the glands appear bland. Among the five patients, the CT scans for four patients showed changes in their fallopian tubes.
Discussion
Women with TB peritonitis and peritoneal carcinomatosis of AEOC generally present at the hospital with abdominal distension or huge ascites. Pretreatment diagnosis if pivotal because the principles differ between the two diseases. Therefore, earlier studies focused on the differential diagnosis between TB peritonitis and peritoneal carcinomatosis of AEOC. However, most were either case reports or case series, and only a few original articles reported CT differential diagnoses of the two diseases. These studies were limited in that they included a small number of women with TB peritonitis and various types of primary malignancies as a comparative group, in addition to AEOC. Furthermore, their results are unlikely to be practical for actual image interpretation because ambiguous image findings are difficult to interpret12,13.
The following points are important for differentiating the two diseases in our study: first, if changes in fallopian tubes were observed in CT scan of women with abdominal distension or huge ascites, these changes showed an independent association with TB peritonitis rather than peritoneal carcinomatosis of AEOC. Because it is difficult to diagnose changes in fallopian tube at the serous tubal intraepithelial carcinoma (STIC) stage on both visual assessments in surgery and imaging studies, most STIC studies have focused on histopathologic findings. A lesion formerly referred to as primary fallopian tube carcinoma (PFTC) is on the STIC spectrum. Only one study reported that tubal cancer showed a sausage-shaped mass in the fallopian tube in a CT scan16. In contrast, the fallopian tube and endometrium are the most common sites for FGTB. Thickening and enhancement of salpinges with or without hydrosalpinx due to tubal obstruction are known imaging findings of TB salpingitis17. In our study, five patients underwent unilateral or bilateral adnexectomy. They all showed abnormalities on the serosal surface of the fallopian tube on histopathologic analysis, and four out of five patients showed fallopian tube abnormalities in CT. This finding is important because abnormalities in the fallopian tube, a characteristic region of FGTB, are correlated with histopathologic abnormalities.
Second, peritoneal micronodules were another characteristic CT imaging feature that differentiates TB peritonitis from peritoneal carcinomatosis. Peritoneal micronodules were more frequently observed in TB peritonitis than in peritoneal carcinomatosis (52.0% vs. 23.5%). In contrast, peritoneal macronodules were more frequently observed in peritoneal carcinomatosis than in TB peritonitis (76.5% vs. 48.0%). However, Ha et al. reported a higher frequency of peritoneal macronodules in TB peritonitis13. In contrast to our study, they included different comparison groups of peritoneal carcinomatosis, not only serous carcinoma but also other types of primary malignancies. In addition, they separated the omentum and mesentery abnormalities in CT scans, and the presence of micronodules or macronodules was evaluated only in the mesentery. However, it is often difficult to distinguish peritoneal nodules confined to specific anatomic locations because both TB peritonitis and peritoneal carcinomatosis present peritoneal nodules of various sizes and locations in the diffuse peritoneal disease. Thus, our image analysis defined macronodules when any nodules in the peritoneal cavityāā„ā5Ā mm in diameter. We defined the remaining cases as micronodules, which facilitated practical image interpretation. Given that the miliary nodule is a well-known laparoscopic and histopathologic finding of TB peritonitis, peritoneal nodules appear as micronodules rather than macronodules in CT scans. The combination of the changes in fallopian tube and peritoneal micronodules showed good diagnostic performance for differentiating TB peritonitis from peritoneal carcinomatosis of AEOC.
The differential diagnosis between TB peritonitis and peritoneal carcinomatosis has been challenging for a long time. Some studies used various imaging modalities to differentiate TB peritonitis from peritoneal carcinomatosis. CT was the most frequently studied modality for differentiating TB peritonitis from peritoneal carcinomatosis, with a sensitivity of 74.6ā88.4% and specificity of 78.2ā97.0%18,19. In addition, there was an attempt to differentiate peritoneal carcinomatosis from TB peritonitis using ultrasonographic omental thickness with a sensitivity of 89.3% and specificity of 84.1%20. Another previous study with fluorodeoxyglucose (FDG)-positron emission tomography (PET)-CT tried to diagnose TB peritonitis based on differential findings of two diseases, with a range of sensitivity of 60.0ā80.0% and specificity of 80.4ā94.1%21. Compared with our study, however, those previous studies included male and female patients and did not unify the cause of peritoneal carcinomatosis.
In contrast, we focused on female patients and peritoneal carcinomatosis by small-sized ovarian cancer (<ā4Ā cm) because it is more challenging to differentiate TB peritonitis when there is a small-sized ovarian cancer mass and diffuse peritoneal disease12. In addition, because fertility preservation is pivotal in female patients of reproductive age, the differential diagnosis of TB peritonitis from peritoneal carcinomatosis of AEOC gives a chance to avoid radical and unnecessary surgery. A few studies used MRI for differentiating TB peritonitis from peritoneal carcinomatosis. MRI has a better soft tissue resolution than CT: therefore, MRI might help characterize adnexal abnormality in both diseases. This aspect of tumor imaging requires further research.
Our study had several limitations. The first limitation is the retrospective nature of our study. Second, the numbers of patients with TB peritonitis and peritoneal carcinomatosis of AEOC were still small.
In conclusion, changes in fallopian tube and peritoneal micronodules in pretreatment CT scans can differentiate TB peritonitis from peritoneal carcinomatosis of AEOC, which allows proper patient transfer to an expert gynecologist while avoiding unnecessary surgical procedures.
Data availability
The datasets generated and/or analyzed during the current study are not publicly available due to personal information protection but are available from the corresponding author upon reasonable request.
Abbreviations
- AEOC:
-
Advanced epithelial ovarian cancer
- AUC:
-
Area under the receiver operating characteristics curve
- CI:
-
Confidence interval
- CT:
-
Computed tomography
- FGTB:
-
Female genital tuberculosis
- HU:
-
Hounsfield unit
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Concept and design: C.J.S.; data collection and management: L.C.M., K.Y.K., and K.J.Y.; interpretation of data: L.C.M., K.M.M., and K.B.K.; statistical analysis: L.C.M.; writing of the manuscript: L.C.M. and C.J.S.; supervision: C.J.S.; critical revisions of the manuscript: K.M.M., K.B.K., B.J., L.W.M., J.U.S., and E.J.M. All authors have approved the final version of the manuscript.
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Lee, Cm., Choi, J.S., Kim, M. et al. Pretreatment CT differential diagnosis of tuberculous peritonitis from peritoneal carcinomatosis of advanced epithelial ovarian cancer. Sci Rep 13, 1085 (2023). https://doi.org/10.1038/s41598-023-27771-5
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DOI: https://doi.org/10.1038/s41598-023-27771-5
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