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1.
Radiologie (Heidelb) ; 63(Suppl 2): 41-48, 2023 Nov.
Article in English | MEDLINE | ID: mdl-37014376

ABSTRACT

PURPOSE: The present study aimed to evaluate the relationship between tumor volume and apparent diffusion coefficient (ADC) in preoperative magnetic resonance imaging and deep myometrial invasion, tumor grade, and lymphovascular space invasion (LVSI) in patients with early-stage endometrial cancer. METHODS: The study included 73 patients diagnosed with early-stage endometrial cancer based on histopathological examination between May 2014 and July 2019. Receiver operating characteristic (ROC) curve analysis was used to estimate the accuracy of ADC and tumor volume in predicting the LVSI, the depth of myometrial invasion (DMI), and the histopathological tumor grade in these patients. RESULTS: The areas under the ROC curves (AUCs) of ADC and tumor volume in predicting LVI, DMI, and high tumor grade were significantly greater than those for superficial myometrial invasion and low-grade tumors. The ROC analysis revealed that higher tumor volume was significantly associated with the prediction of DMI and tumor grade (p = 0.002 and p = 0.015). The corresponding cut-off values of tumor volume were > 7.12 and > 9.38 mL. The sensitivity of ADC in predicting DMI was higher than its sensitivity in predicting LVSI and grade 1 tumors. Furthermore, tumor volume was significantly associated with the prediction of DMI and tumor grade. CONCLUSION: In the absence of pathological pelvic lymph nodes in early-stage endometrial cancer, tumor volume in DWI sequences determines the active tumor load and tumor aggressiveness. Furthermore, a low ADC indicates deep myometrial invasion and helps differentiate stage IA and stage IB tumors.


Subject(s)
Endometrial Neoplasms , Female , Humans , Endometrial Neoplasms/diagnostic imaging , Endometrial Neoplasms/surgery , Endometrial Neoplasms/pathology , Diffusion Magnetic Resonance Imaging/methods , Magnetic Resonance Imaging/methods , Endometrium/pathology , ROC Curve
2.
Abdom Radiol (NY) ; 45(5): 1507-1516, 2020 05.
Article in English | MEDLINE | ID: mdl-31428812

ABSTRACT

PURPOSE: This study aims to evaluate the capacity of the clinical and radiological findings and the extrapancreatic necrotic tissue volume in early (2-6 days) computerized tomography (CT) images of patients diagnosed with AP to predict reliably the temporary or permanent organ failure and other local or systemic complications due to pancreatitis. MATERIALS AND METHODS: Adult patients who were diagnosed with AP based on Revised Atlanta classification and underwent abdomen CT scans between May 2015 and May 2018 were examined retrospectively. Extrapancreatic necrosis volume was compared to various clinical parameters that indicate the prognosis of AP such as C-reactive protein (CRP) at 48-72th h, organ failure, infection, requirement for percutaneous or surgical intervention, length of hospital stay, and mortality, and to various imaging-based scoring systems such as the computerized tomography severity index (CTSI) and the modified CTSI (mCTSI). The receiver operating characteristic (ROC) curve was used to estimate the optimal threshold for predicting clinical prognosis. RESULTS: Extrapancreatic necrosis volume had moderate positive correlation with length of hospital stay (p = 0.0001) and CRP (at 48-72th h) (p = 0.0001) and strong positive correlation with CTSI (p = 0.0001), mCTSI (p = 0.0001), and white blood cell count (p = 0.0001). CONCLUSION: Extrapancreatic necrosis volume was found to be particularly better in predicting organ failure and infection compared to the imaging-based scoring systems (Balthazar, CTSI, and mCTSI) and the laboratory-based scoring systems (CRP at 48-72th h).


Subject(s)
Necrosis/complications , Pancreatitis/diagnostic imaging , Tomography, X-Ray Computed/methods , Adult , Aged , Aged, 80 and over , Biomarkers/analysis , C-Reactive Protein/analysis , Female , Humans , Length of Stay/statistics & numerical data , Leukocyte Count , Male , Middle Aged , Pancreatitis/classification , Predictive Value of Tests , Prognosis , Retrospective Studies , Severity of Illness Index
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