Imaging and pathology features to predict axillary tumor load in breast cancer.

AIM: We investigated if imaging and pathology features could help to identify a high axillary tumor burden (ATB) in breast cancer patients, in order to individualize decisions on axillary lymph node (ALN) dissection (ALND). METHODS: We retrospectively analyzed patients primarily treated with surgery in our unit between 2011 and 2014. We divided the patients in two groups: low ATB (LATB) if ≤ 2 ALN were infiltrated and high ATB (HATB) if > 2 ALN were infiltrated. RESULTS: Data of 105 patients was included in the study. Axillary ultrasound (AUS) features associated with HATB were any sign of ALN infiltration (76 vs 24%, P = 0.027) and > 2 suspicious ALNs (73% vs 27%, P = 0.018); however, when AUS revealed ≤ 2 suspicious ALNs, 39% of these patients had HATB. Any sign of ALN infiltration on magnetic resonance imaging was associated with HATB (48% vs 52%, P = 0.031). Positive preoperative ALN cytology or biopsy was associated with HATB (53% vs 47%, P = 0.008), while p53 positivity (80% vs 20%) and high histological grade (68% vs. 32%) correlated with LATB (P = 0.05 and P = 0.02, respectively). In multivariate analysis, only positive preoperative ALN cytology or biopsy was associated with HATB (P = 0.038). CONCLUSIONS: AUS was useful for detecting HATB but was not as effective in patients with LATB. Proving axillary infiltration with AUS-directed cytology or biopsy is the most effective method to predict HATB.

Mammographic extent of microcalcifications and oestrogen receptor expression affect preoperative breast carcinoma in situ size estimation.

BACKGROUND: The aim of our study was to establish which clinical, radiologic and pathologic factors could predict the risk of under- and overestimation of the breast ductal carcinoma in situ (DCIS) size when preoperatively measuring the maximum mammographic extent of microcalcifications (MEM). METHODS: We made a retrospective review of patients with a DCIS treated in our Breast Unit between May 2005 and May 2012. Clinical, pathologic and radiologic data were evaluated as possible predictive factors for over- or underestimation of DCIS size when measuring MEM. RESULTS: We obtained precise measurements of MEM in 82 patients (84 DCIS lesions). Maximum MEM measurement correctly estimated maximum pathology size in 57 lesions (68.7 %). Patients with a correctly estimated DCIS, with an underestimated DCIS and with an overestimated DCIS significantly differed in DCIS ER expression (p = 0.022) and in maximum MEM measurement (p = 0.000). Constructing two ROC curves, we found that a maximum MEM measurement ≥25 mm and ER expression ≥90 % were both discrimination points for overestimation and ER ≤ 45 % was a discrimination point for underestimation. Using these cutoff points, we defined four groups of patients with different risks of over- and underestimation. CONCLUSIONS: Risk of over- or underestimation of DCIS size through MEM measurement depends on DCIS ER expression and MEM itself. Identifying which patients are at a significant risk of over- or underestimation could help the breast surgeon when discussing the surgical options with the patient.

Comportamiento de los lípidos durante la gestación y su relación con acontecimientos obstétricos desfavorables / Relationship between lipid alterations during pregnancy and adverse pregnancy outcomes

Los lípidos juegan un importante papel durante la gestación, y en este periodo tienen lugar cambios importantes en el metabolismo lipoproteico. Durante el tercer trimestre del embarazo los niveles plasmáticos de colesterol y triglicéridos se ven sustancialmente incrementados, volviendo a niveles normales tras el parto. Se han descrito asociaciones entre el aumento de la morbilidad durante el embarazo e incrementos excesivos de la concentración plasmática del colesterol y triglicéridos. Por dicho motivo hemos revisado la relación entre las alteraciones lipídicas, la preeclampsia, la diabetes gestacional y el parto pretérmino. El control metabólico global de la embarazada mejoraría los resultados obstétricos, y la detección de alteraciones suprafisiológicas del perfil lipídico debería clasificar el embarazo en un nivel de riesgo superior, lo que comportaría un control más estricto

Lipids play an important role during pregnancy, and in this period major changes occur in lipoprotein metabolism. During the third trimester plasma cholesterol and triglyceride levels are substantially increased, returning to normal after delivery. Described associations between increased morbidity during pregnancy and excessive increases in plasma cholesterol and triglycerides. For this reason we have reviewed the relationship between lipid alterations, preeclampsia, gestational diabetes and preterm birth. The overall metabolic control can improve pregnancy outcomes, and the assessment of supraphysiological changes in lipid profile will classify pregnancy risk at a higher level, which would entail a stricter control

[Relationship between lipid alterations during pregnancy and adverse pregnancy outcomes]. / Comportamiento de los lípidos durante la gestación y su relación con acontecimientos obstétricos desfavorables.

Lipids play an important role during pregnancy, and in this period major changes occur in lipoprotein metabolism. During the third trimester plasma cholesterol and triglyceride levels are substantially increased, returning to normal after delivery. Described associations between increased morbidity during pregnancy and excessive increases in plasma cholesterol and triglycerides. For this reason we have reviewed the relationship between lipid alterations, preeclampsia, gestational diabetes and preterm birth. The overall metabolic control can improve pregnancy outcomes, and the assessment of supraphysiological changes in lipid profile will classify pregnancy risk at a higher level, which would entail a stricter control.