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1.
J Matern Fetal Neonatal Med ; 33(12): 2006-2011, 2020 Jun.
Artículo en Inglés | MEDLINE | ID: mdl-30572764

RESUMEN

Importance: The active-during-pregnancy-cancer (ADPC) is a condition that complicates the 0.1% of pregnancies. Abortion, preterm delivery and cesarean section (CS) are common attitudes for these patients, because of scarcity of evidence-based studies. Not-active-during-pregnancy-cancer (NADPC) is an increasing medical problem. The fertility of young girls survived to neoplasia is significantly lower compared to general population and there are increased rates of low birth weight and preterm birth.Objective: To analyze the impact that the pregnancy-related neoplastic disease has on management of deliveries in the decade 2006-2015.Material and methods: In this observational study, we collected obstetric and oncological data about 205 patients bearing a history of cancer related to pregnancy between January 2006 and September 2016 from Sant'Anna Hospital database archive in Turin. The entire population was divided in 59 patients with ADPC and 146 patients with NADPC because it was cured before starting the gestation. Three ADPC and three NADPC patients who completed their pregnancy in the year 2016 were excluded from the 10 years 2006-2015 trends realization. All in situ and invasive cancers were considered.Results: In ADPC patients, we registered 3.4% miscarriage and 15.3% iatrogenic abortion. The type of delivery was vaginal (22%) and CS (59.3%). Induction of labor was 14.6%, elective CS was 68.8%: the indication for these procedures was 78.6% oncological. The average gestational age was 35.5 weeks. In NADPC patients, we registered 9.6% miscarriage and 8.2% iatrogenic abortion. The type of delivery was vaginal (43.2%) and CS (39%). Induction of labor was 11.7%, elective CS was 36.7%: the indication for these procedures was 77.5% obstetrical. The average gestational age was 38.3 weeks.Conclusions: Ten-year trends in ADPC and NADPC patients showed an increase of induced deliveries and a decrease in elective CS. We observed not significant reduction of gestational age and birth weight. A contemporary decrease of oncological indications for CS in the two populations was reported.


Asunto(s)
Supervivientes de Cáncer/estadística & datos numéricos , Neoplasias/epidemiología , Aborto Inducido/estadística & datos numéricos , Aborto Espontáneo/epidemiología , Adulto , Peso al Nacer , Cesárea/estadística & datos numéricos , Femenino , Edad Gestacional , Humanos , Incidencia , Recién Nacido , Neoplasias/terapia , Embarazo , Complicaciones Neoplásicas del Embarazo/epidemiología , Complicaciones Neoplásicas del Embarazo/terapia
2.
Eur J Obstet Gynecol Reprod Biol ; 247: 207-211, 2020 Apr.
Artículo en Inglés | MEDLINE | ID: mdl-32146226

RESUMEN

OBJECTIVES: The ADNEX (Assessment of Different NEoplasias in the adneXa) model was developed using parameters collected by experienced (level III) ultrasound examiners. Our primary aim was to externally validate the ADNEX model. Then, the discriminatory performance of ADNEX was compared with the two-step strategy and subjective assessment by an experienced ultrasound operator. METHODS: Between February 2013 and January 2017, all patients who were scheduled for surgery for an adnexal mass at the Sant'Anna Hospital in Turin were enrolled in this study. Preoperative transvaginal sonography was performed, and the two-step strategy was applied for triage of the adnexal mass. Two ultrasound examiners, IOTA certified, applied the ADNEX model to all the collected masses based on the ultrasound reports. Finally, an experienced operator assigned the subjective assessment based on recorded ultrasound images. The discrimination and calibration performance of ADNEX were evaluated. The AUC was calculated for the basic discrimination between benign and malignant tumours. In addition, AUCs were computed for each pair of tumour types using the conditional risk method. RESULTS: A total of 577 patients were included in the analysis: the overall prevalence of malignancy was 25 %. With ADNEX, the AUC to differentiate between benign and malignant masses was 0.9111 (95 % CI 0. 8788-0.9389). At risk cut-offs of 1%, 10 % and 30 %, sensitivities were 100 %, 89.6 % and 79.2 %, respectively, and specificities were 2.8 %, 76.2 % and 89.6 %, respectively. Discrimination between benign and stage II-IV tumours was good (AUC 0.935). The model had the most difficulties discriminating between borderline and stage I tumours (AUC 0.666), and between stages II-IV invasive and secondary metastatic tumours (AUC 0.736). The polytomous discrimination index (PDI) was 0.61 for ADNEX, whereas PDI for random performance would be 0.25. ADNEX proved to be equally or more accurate than the subjective assessment or the two-step strategy in the discrimination between benign and malignant adnexal masses. CONCLUSIONS: the ADNEX model could probably be successfully applied when an expert examiner is not available and, therefore both a subjective assessment and the two-step strategy cannot be performed.


Asunto(s)
Enfermedades de los Anexos/diagnóstico por imagen , Neoplasias de los Genitales Femeninos/diagnóstico por imagen , Ultrasonografía/estadística & datos numéricos , Adulto , Anciano , Algoritmos , Técnicas de Apoyo para la Decisión , Femenino , Humanos , Persona de Mediana Edad , Estudios Retrospectivos , Medición de Riesgo , Triaje
3.
Eur J Obstet Gynecol Reprod Biol ; 251: 167-172, 2020 Aug.
Artículo en Inglés | MEDLINE | ID: mdl-32505056

RESUMEN

OBJECTIVE(S): Smooth muscle tumors of uncertain malignant potential are rare uterine neoplasms. Their identification through imaging is still limited due to the few available descriptions in the scientific literature. The objective of this paper is to provide clinical and ultrasound features that could support an early identification of these neoplasms. STUDY DESIGN: We retrospectively evaluated preoperative sonographic data of patients receiving a histopathological diagnosis of smooth muscle tumors of uncertain malignant potential between 2014 and 2019 at the S. Anna Hospital (Turin, Italy), a tertiary gynecological center. Tumors were characterized on the basis of ultrasound images using terms and definitions according to the morphological uterus sonographic assessment group. RESULTS: A total of fourteen patients with smooth muscle tumors of uncertain malignant potential (20 lesions, including 18 pure and 2 with associated leiomyosarcoma) were identified. The median age was 47 years (range 28-77) and nine (64%) patients were of reproductive age. Six patients (43%) were asymptomatic, two (14%) presented with abdominal pain, two (14 %) with menorrhagia and four (29%) with both symptoms. Two (14%) patients developed local recurrences as uterine smooth muscle tumor of uncertain malignant potential and leiomyosarcoma, respectively. At ultrasound imaging, nine (69%) smooth muscle tumors of uncertain malignant potential were poorly or moderately vascularized and nine (82%) showed both circumferential and intra-lesional flows. Only three (15%) showed shadowing. The outlines were well-defined in seventeen cases (85%) and most (90%) showed isoechoic or mixed echogenicity with microcystic anechoic areas in fourteen (70%) of cases. CONCLUSION(S): Sonographic features of smooth muscle tumors of uncertain malignant potential may vary and a pathognomonic description has not been recognized. However, the identification of single or multiple lesions with specific ultrasound features should raise the suspicion of tumors of uncertain malignant potential. These features include isoechogenicity or mixed echogenicity, regular borders, presence of internal microcystic and anechoic areas, circumferential and intralesional vascularization ranging from minimal to high and absence of shadowing.


Asunto(s)
Leiomiosarcoma , Tumor de Músculo Liso , Neoplasias Uterinas , Adulto , Anciano , Femenino , Humanos , Italia , Leiomiosarcoma/diagnóstico por imagen , Persona de Mediana Edad , Recurrencia Local de Neoplasia , Estudios Retrospectivos , Tumor de Músculo Liso/diagnóstico por imagen , Ultrasonografía , Neoplasias Uterinas/diagnóstico por imagen , Útero/diagnóstico por imagen
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