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Indication for treatment and long-term outcome of focal nodular hyperplasia.

ABSTRACT: INTRODUCTION: Unlike malignant liver tumours, the indications for hepatic resection for benign disease are not well defined. This is particularly true for focal nodular hyperplasia (FNH). Here we summarize a single-centre experience of the diagnosis and management of FNH. MATERIALS AND METHODS: Using a prospectively collected database, a retrospective analysis of consecutive patients who were managed at our centre for FNH between January 1997 and December 2006 was performed. RESULTS: The cohort was divided into two groups of patients: those who were managed surgically (n=15) and those managed conservatively (n=37). There was no correlation between tumour size and number of lesions with oral contraceptive use (p=0.07 and 0.90, respectively) and pregnancy (p=0.45 and 0.60, respectively). However, tumour size (p=0.006) and number of lesions (p=0.02) were associated with the occurrence of pain in these patients. Pain was the commonest symptom of patients (13/15) who were managed surgically. All patients underwent radiological imaging before diagnosis. The sensitivities of ultrasound, CT scanning and MRI scanning in characterizing these lesions were 30%, 70% and 87%, respectively. There were no postoperative deaths and three postoperative complications that were successfully managed non-operatively. With a median follow-up of 24 months in the surgically treated group, one patient has developed recurrent symptoms of pain. CONCLUSION. In this series, there was no mortality directly due to the surgical procedure and a modest morbidity, justifying surgical resections in selected patients.

SUBMITTER: Bonney GK

PROVIDER: S-EPMC2225515 | biostudies-other | 2007

REPOSITORIES: biostudies-other

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Project description:BackgroundThe typical enhancement patterns of hepatocellular carcinoma (HCC) on contrast-enhanced ultrasound (CEUS) are hyper-enhanced in the arterial phase and washed out during the portal venous and late phases. However, atypical variations make a differential diagnosis both challenging and crucial. We aimed to investigate whether machine learning-based ultrasonic signatures derived from CEUS images could improve the diagnostic performance in differentiating focal nodular hyperplasia (FNH) and atypical hepatocellular carcinoma (aHCC).Patients and methodsA total of 226 focal liver lesions, including 107 aHCC and 119 FNH lesions, examined by CEUS were reviewed retrospectively. For machine learning-based ultrasomics, 3,132 features were extracted from the images of the baseline, arterial, and portal phases. An ultrasomics signature was generated by a machine learning model. The predictive model was constructed using the support vector machine method trained with the following groups: ultrasomics features, radiologist's score, and combination of ultrasomics features and radiologist's score. The diagnostic performance was explored using the area under the receiver operating characteristic curve (AUC).ResultsA total of 14 ultrasomics features were chosen to build an ultrasomics model, and they presented good performance in differentiating FNH and aHCC with an AUC of 0.86 (95% confidence interval [CI]: 0.80, 0.89), a sensitivity of 76.6% (95% CI: 67.5%, 84.3%), and a specificity of 80.5% (95% CI: 70.6%, 85.9%). The model trained with a combination of ultrasomics features and the radiologist's score achieved a significantly higher AUC (0.93, 95% CI: 0.89, 0.96) than that trained with the radiologist's score (AUC: 0.84, 95% CI: 0.79, 0.89, P < 0.001). For the sub-group of HCC with normal AFP value, the model trained with a combination of ultrasomics features, and the radiologist's score remain achieved the highest AUC of 0.92 (95% CI: 0.87, 0.96) compared to that with the ultrasomics features (AUC: 0.86, 95% CI: 0.74, 0.89, P < 0.001) and radiologist's score (AUC: 0.86, 95% CI: 0.79, 0.91, P < 0.001).ConclusionsMachine learning-based ultrasomics performs as well as the staff radiologist in predicting the differential diagnosis of FNH and aHCC. Incorporating an ultrasomics signature into the radiologist's score improves the diagnostic performance in differentiating FNH and aHCC.

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Indication for treatment and long-term outcome of focal nodular hyperplasia.

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