Is MDCT an accurate tool to differentiate between benign and malignant etiology in diffuse peritoneal disease?

George, Shyjumon; Sathyakumar, Kirthi; Bindra, Mandeep Singh; Eapen, Anu

doi:10.1007/s00261-022-03641-y

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…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 74.6-88.4% and specificity of 78.2-97.0% 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 .…”

Section: Discussionmentioning

confidence: 99%

Pretreatment CT differential diagnosis of tuberculous peritonitis from peritoneal carcinomatosis of advanced epithelial ovarian cancer

Lee

Choi

Kim

et al. 2023

Sci Rep

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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 (p ≤ 0.012). 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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Section: Discussionmentioning

confidence: 99%

Pretreatment CT differential diagnosis of tuberculous peritonitis from peritoneal carcinomatosis of advanced epithelial ovarian cancer

Lee

Choi

Kim

et al. 2023

Sci Rep

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“…However, it is obligatory to provide an early diagnosis to avoid morbidity and provide definitive therapy. Contrast-enhanced CT is the imaging modality of choice for differentiation between TBP and PC, due to its widespread availability [25]. There are no characteristic or pathognomonic imaging findings for either PC or TBP, but clinical findings and the demographic origin of the patient, in conjunction with imaging findings may be indicative of a probable diagnosis.…”

Section: Discussionmentioning

confidence: 99%

Clinical and Radiological Parameters to Discriminate Tuberculous Peritonitis and Peritoneal Carcinomatosis

Jha,

Gupta,

Neelam

et al. 2023

Diagnostics

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It is challenging to differentiate between tuberculous peritonitis and peritoneal carcinomatosis due to their insidious nature and intersecting symptoms. Computed tomography (CT) is the modality of choice in evaluating diffuse peritoneal disease. We conducted an ambispective analysis of patients suspected as having tuberculous peritonitis or peritoneal tuberculosis between Jan 2020 to Dec 2021. The study aimed to identify the clinical and radiological features differentiating the two entities. We included 44 cases of tuberculous peritonitis and 45 cases of peritoneal carcinomatosis, with a median age of 31.5 (23.5–40) and 52 (46–61) years, respectively (p ≤ 0.001). Fever, past history of tuberculosis, and loss of weight were significantly associated with tuberculous peritonitis (p ≤ 0.001, p = 0.038 and p = 0.001). Pain in the abdomen and history of malignancy were significantly associated with peritoneal carcinomatosis (p = 0.038 and p ≤ 0.001). Ascites was the most common radiological finding. Loculated ascites, splenomegaly and conglomeration of lymph nodes predicted tuberculous peritonitis significantly (p ≤ 0.001, p = 0.010, p = 0.038). Focal liver lesion(s) and nodular omental involvement were significantly associated with peritoneal carcinomatosis (p = 0.011, p = 0.029). The use of clinical features in conjunction with radiological findings provide better diagnostic yields because of overlapping imaging findings.

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Is MDCT an accurate tool to differentiate between benign and malignant etiology in diffuse peritoneal disease?

Cited by 2 publications

References 17 publications

Pretreatment CT differential diagnosis of tuberculous peritonitis from peritoneal carcinomatosis of advanced epithelial ovarian cancer

Pretreatment CT differential diagnosis of tuberculous peritonitis from peritoneal carcinomatosis of advanced epithelial ovarian cancer

Clinical and Radiological Parameters to Discriminate Tuberculous Peritonitis and Peritoneal Carcinomatosis

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