Wire-guided localization and surgical resection of non-palpable recurrent of thyroid carcinoma: A STROBE-compliant, retrospective cohort study.

BACKGROUND: Information on hook-wire guided (HWG) surgery for non-palpable thyroid carcinoma (TC), locoregional-recurrent disease (LRRD) is scarce. We analyze the results of HWG resection compared with the traditional procedure. METHODS: Cohort study performed between January 2016 and December 2020. Patients with TC and non-palpable LRRD were included. A "Standard cohort", patients with non-HWG resection and "HWG cohort", with HWG resection of LRRD were defined. Surgical morbidity, re-recurrent/progressive disease (RRD), and re-recurrence-free survival (RRFS) were defined. RESULTS: 43 and 23 patients were assigned to the Standard or HWG cohorts, respectively. Complications occurred in 28 % and 17.3 % of cases, in control or HWG cohorts, respectively. HWG cohort, size of primary TC, 131I dose >150 mCi, and thyroglobulin level >1 ng/ml at detection of LRRD were associated with RRD. HWG cohort, thyroglobulin level at LRRD, 131I treatment, and dose were associated with RRFS. CONCLUSIONS: HWG surgery of non-palpable TC LRRD had improved results regarding surgical morbidity, RRD, and RRFS.

Renal arterial resistive index, monocyte chemotactic protein 1 and neutrophil gelatinase-associated lipocalin, for predicting acute kidney injury in critically ill cancer patients.

PURPOSE: We evaluated the renal arterial resistive index (RRI), urine monocyte chemotactic protein 1 (uMCP-1), and urine neutrophil gelatinase-associated lipocalin (uNGAL) to predict acute kidney injury (AKI) in critically ill cancer patients. METHODS: In this prospective study, we included patients without AKI. We compared the area under the curve (AUC) of RRI, uMCP-1, and uNGAL to predict any stage of AKI and stage-3 AKI with the DeLong method, and we established cutoff points with the Youden index. RESULTS: We included 64 patients, and 43 (67.2%) developed AKI. The AUC to predict AKI were: 0.714 (95% CI 0.587-0.820) for the RRI, 0.656 (95% CI 0.526-0.770) for uMCP-1, and 0.677 (95% CI 0.549-0.789) for uNGAL. The AUC to predict stage-3 AKI were: 0.740 (95% CI 0.615-0.842) for the RRI, 0.757 (95% CI 0.633-0.855) for uMCP-1, and 0.817 (95% CI 0.701-0.903) for uNGAL, without statistical differences among them. For stage 3 AKI prediction, the sensitivity and specificity were: 56.3% and 87.5% for a RRI > 0.705; 70% and 79.2% for an uMCP-1 > 2169 ng/mL; and 87.5% and 70.8% for a uNGAL > 200 ng/mL. The RRI was significantly correlated to age (r = 0.280), estimated glomerular filtration rate (r = - 0.259), mean arterial pressure (r = - 0.357), and serum lactate (r = 0.276). CONCLUSION: The RRI, uMCP-1, and uNGAL have a similar ability to predict AKI. The RRI is more specific, while urine biomarkers are more sensitive to predict stage 3 AKI. The RRI correlates with hemodynamic variables. The novel uMCP-1 could be a useful biomarker that needs to be extensively studied.

Cancer-associated prothrombotic pathways: leucocytosis, but not thrombocytosis, correlates with venous thromboembolism in women with ovarian cancer.

Risk factors for venous thromboembolism in cancer vary between tumours. Leucocytosis, thrombocytosis, tumour histology and vascular compression may drive thrombosis in ovarian cancer. Thrombosis developed in 13.4% of our patients. Higher median leucocyte, neutrophil and monocyte counts were related to thrombosis. Thrombocytosis >350 × 109 /L was frequent (63.8%), but not predictive of thrombosis. Identification of prothrombotic biomarkers may help personalise preventive treatments.

The apparent diffusion coefficient (ADC) on 3-T MRI differentiates myometrial invasion depth and histological grade in patients with endometrial cancer.

BACKGROUND: Diffusion-weighted magnetic resonance imaging (DW-MRI) with apparent diffusion coefficient (ADC) measurement provides additional information about tumor microstructure with potential relevance for staging and predicting aggressive disease in patients with endometrial cancer (EC). PURPOSE: To determine whether ADC values in EC diverge according to the tumor's histologic grade and myometrial invasion depth. MATERIAL AND METHODS: A sample of 48 pathologically confirmed cases of EC were reviewed retrospectively. The sample was distributed as follows: G1 (n = 9); G2 (n = 18); G3 (n = 21); with myometrial invasion <50% (n = 31); and with myometrial invasion ≥50% (n = 17). DW images were performed at 3.0T with b factors of 0-1000/mm2. The region of interest (ROI) was defined within the tumor with T1-weighted and T2-weighted imaging and copied manually to an ADC map. The tumor's grade and myometrial invasion's depth were determined by postoperative histopathological tests. RESULTS: The means of ADCmin and ADCmean values were significantly lower for patients with G2 and G3 endometrial tumors than G1. The same tendency was observed in myometrial invasion, as both ADCmin and ADCmean values were lower for patients with deep than for those with superficial myometrial invasion. The cut-off values of the ADCmin and ADCmean that predicted high-grade tumors were 0.69 × 10-3 mm2/s and 0.82 × 10-3 mm2/s, respectively, while those for myometrial infiltration were 0.70 × 10-3 mm2/s (ADCmin) and 0.88 × 10-3 mm2/s (ADCmean). CONCLUSION: ADCmin and ADCmean values correlated with histologic tumor grade and myometrial invasion depth; therefore, it is suggested that ADC on MRI may be a useful indicator to predict malignancy of ECs.