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BACKGROUND: A laparoscopy-based scoring system was developed by Fagotti et al (Fagotti or Predictive Index Value (PIV)score) based on the intraoperative presence or absence of carcinomatosis on predefined sites. Later, the authors updated the PIV score calculated only in the absence of one or both absolute criteria of non-resectability (mesenteric retraction and miliary carcinomatosis of the small bowel) (updated PIV model). OBJECTIVE: The aim was to demonstrate the non-inferiority of ultrasound to other imaging methods (contrast enhanced computed tomography (CT) and whole-body diffusion-weighted (WB DWI)/MRI) in predicting non-resectable tumor (defined as residual disease>1 cm) using the updated PIV model in patients with tubo-ovarian cancer. The agreement between imaging and intraoperative findings as a reference was also calculated. STUDY DESIGN: This was a European prospective multicenter observational study. We included patients with suspected tubo-ovarian carcinoma who underwent preoperative staging and prediction of non-resectability at ultrasound, CT, WB-DWI/MRI and surgical exploration. The predictors of non-resectability were suspicious mesenteric retraction and/or miliary carcinomatosis of the small bowel or if absent, a PIV>8 (updated PIV model). The PIV score ranges from 0 to 12 according to the presence of disease in six predefined intra-abdominal sites (great omentum, liver surface, lesser omentum/stomach/spleen, parietal peritoneum, diaphragms, bowel serosa/mesentery). The reference standard was surgical outcome, in terms of residual disease>1 cm, assessed by laparoscopy and/or laparotomy. The area under the receiver operating characteristic curve (AUC) to assess the performance of the methods in predicting non-resectability was reported. Concordance between index tests at detection of disease at six predefined sites and intraoperative exploration as reference standard was also calculated using Cohen's kappa. RESULTS: The study was between 2018 and 2022 in five European gynecological oncology centers. Data from 242 patients having both mandatory index tests (ultrasound and CT) were analyzed. 145/242 (59.9%) patients had no macroscopic residual tumor after surgery (R0) (5/145 laparoscopy and 140/145 laparotomy) and 17/242 (7.0%) had residual tumor ≤1cm (R1) (laparotomy). In 80/242 patients (33.1%), the residual tumor was >1 cm (R2), 30 of them underwent laparotomy and maximum surgery was carried out and 50/80 underwent laparoscopy and cytoreduction was not feasible in all of them. After excluding 18/242 (7.4%) patients operated on but not eligible for extensive surgery, the predictive performance of three imaging methods was analyzed in 167 women. The AUCs of all methods in discriminating between resectable and non-resectable tumor was 0.80 for ultrasound, 0.76 for CT, 0.71 for WB-DWI/MRI and 0.90 for surgical exploration. Ultrasound had the highest agreement (Cohen's kappa ranging from 0.59 to 0.79) compared to CT and WB-DWI/MRI to assess all parameters included in the updated PIV model. CONCLUSIONS: Ultrasound showed non-inferiority to CT and to WB-DWI/MRI in discriminating between resectable and non-resectable tumor using the updated PIV model. Ultrasound had the best agreement between imaging and intraoperative findings in the assessment of parameters included in the updated PIV model. Ultrasound is an acceptable method to assess abdominal disease and predict non-resectability in patients with tubo-ovarian cancer in the hands of specially trained ultrasound examiners.
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The aim of this paper was to explore the role of artificial intelligence (AI) applied to ultrasound imaging in gynecology oncology. Web of Science, PubMed, and Scopus databases were searched. All studies were imported to RAYYAN QCRI software. The overall quality of the included studies was assessed using QUADAS-AI tool. Fifty studies were included, of these 37/50 (74.0%) on ovarian masses or ovarian cancer, 5/50 (10.0%) on endometrial cancer, 5/50 (10.0%) on cervical cancer, and 3/50 (6.0%) on other malignancies. Most studies were at high risk of bias for subject selection (i.e., sample size, source, or scanner model were not specified; data were not derived from open-source datasets; imaging preprocessing was not performed) and index test (AI models was not externally validated) and at low risk of bias for reference standard (i.e., the reference standard correctly classified the target condition) and workflow (i.e., the time between index test and reference standard was reasonable). Most studies presented machine learning models (33/50, 66.0%) for the diagnosis and histopathological correlation of ovarian masses, while others focused on automatic segmentation, reproducibility of radiomics features, improvement of image quality, prediction of therapy resistance, progression-free survival, and genetic mutation. The current evidence supports the role of AI as a complementary clinical and research tool in diagnosis, patient stratification, and prediction of histopathological correlation in gynecological malignancies. For example, the high performance of AI models to discriminate between benign and malignant ovarian masses or to predict their specific histology can improve the diagnostic accuracy of imaging methods.
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BACKGROUND: Differential diagnosis between benign uterine smooth muscle tumors and malignant counterpart is challenging. We evaluated the accuracy of a clinical and ultrasound based algorithm in predicting mesenchimal uterine malignancies (MUMs), including smooth muscle tumors of uncertain malignant potential (STUMPs). METHODS: We report the twelve-months follow-up of an observational, prospective, single-centre study that included women with at least one myometrial lesion ≥3 cm on ultrasound examination. These patients were classified according to a three-class diagnostic algorithm, using symptoms and ultrasound features. "White" patients underwent annual telephone follow-up for 2 years, "Green" patients underwent a clinical and ultrasound follow-up at 6, 12 and 24 months and "Orange" patients underwent surgery. We further developed a risk class system to stratify the malignancy risk. FINDINGS: 2,268 women were included andtarget lesion was classified as benign in 2,158 (95.1%), as other malignancies in 58 (2.6%) an as mesenchymal uterine malignancies in 52 (2.3%) patients. At multivariable analysis, age (OR 1.05 (95% CI 1.03-1.07), tumor diameter >8 cm (OR 5.92 (95% CI 2.87-12.24), irregular margins (OR 2.34 (95% CI 1.09-4.98), color score=4 (OR 2.73 (95% CI 1.28-5.82), were identified as independent risk factors for malignancies, whereas acoustic shadow resulted in an independent protective factor (OR 0.39 (95% CI 0.19-0.82). The model, which included age as a continuous variable and lesion diameter as a dichotomized variable (cut-off 81 mm), provided the best AUC (0.87 (95% CI 0.82-0.91)). A risk class system was developed, and patients were classified as low-risk (predictive model value <0.39%: 0/606 malignancies, risk 0%), intermediate risk (predictive model value 0.40%-2.2%: 9/1,093 malignancies, risk 0.8%), high risk (predictive model value ≥2.3%: 43/566 malignancies, risk 7.6%). CONCLUSION: The preoperative three-class diagnostic algorithm and risk class system can stratify women according to risk of malignancy. Our findings, if confirmed in a multicentre study, will permit differentiation between benign and MUMs allowing a personalized clinical approach. FUNDING: Nothing to declare.
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BACKGROUND: In addition to the diagnostic accuracy of imaging methods, patient-reported satisfaction with imaging methods is important. OBJECTIVE: To report a secondary outcome of the prospective international multicenter Imaging Study in Advanced ovArian Cancer (ISAAC Study), detailing patients' experience with abdomino-pelvic ultrasound, whole-body contrast-enhanced computed tomography (CT), and whole-body diffusion-weighted magnetic resonance imaging (WB-DWI/MRI) for pre-operative ovarian cancer work-up. METHODS: In total, 144 patients with suspected ovarian cancer at four institutions in two countries (Italy, Czech Republic) underwent ultrasound, CT, and WB-DWI/MRI for pre-operative work-up between January 2020 and November 2022. After having undergone all three examinations, the patients filled in a questionnaire evaluating their overall experience and experience in five domains: preparation before the examination, duration of examination, noise during the procedure, radiation load of CT, and surrounding space. Pain perception, examination-related patient-perceived unexpected, unpleasant, or dangerous events ('adverse events'), and preferred method were also noted. RESULTS: Ultrasound was the preferred method by 49% (70/144) of responders, followed by CT (38%, 55/144), and WB-DWI/MRI (13%, 19/144) (p<0.001). The poorest experience in all domains was reported for WB-DWI/MRI, which was also associated with the largest number of patients who reported adverse events (eg, dyspnea). Patients reported higher levels of pain during the ultrasound examination than during CT and WB-DWI/MRI (p<0.001): 78% (112/144) reported no pain or mild pain, 19% (27/144) moderate pain, and 3% (5/144) reported severe pain (pain score >7 of 10) during the ultrasound examination. We did not identify any factors related to patients' preferred method. CONCLUSION: Ultrasound was the imaging method preferred by most patients despite being associated with more pain during the examination in comparison with CT and WB-DWI/MRI. TRIAL REGISTRATION NUMBER: NCT03808792.
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Diffusion Magnetic Resonance Imaging , Ovarian Neoplasms , Patient Satisfaction , Tomography, X-Ray Computed , Ultrasonography , Humans , Female , Ovarian Neoplasms/diagnostic imaging , Ovarian Neoplasms/pathology , Prospective Studies , Middle Aged , Diffusion Magnetic Resonance Imaging/methods , Cross-Sectional Studies , Ultrasonography/methods , Aged , Tomography, X-Ray Computed/methods , Adult , Neoplasm Staging , Whole Body Imaging/methods , Aged, 80 and over , Preoperative Care/methodsABSTRACT
The 2022 Delphi revision of the MUSA (Morphological Uterus Sonographic Assessment) criteria for the ultrasound diagnosis of adenomyosis divides the ultrasound signs for diagnosis into direct and indirect ones, considering the presence of at least one direct sign as a mandatory criterion. This study aimed to reclassify the patients referred to the Pelvic Pain specialist outpatient clinic of the Gynecological Clinic of Udine according to the new criteria, evaluating the number of overdiagnoses and the possible correlation between the direct and indirect signs and the patients' symptoms. 62 patients affected by adenomyosis were retrospectively recruited. The patients were then re-evaluated by ultrasound and clinically. At least one direct sign of adenomyosis was found in 52 patients, while 16% of the population examined did not present any. There was no statistically significant difference between patients presenting direct signs and those presenting none for the symptoms considered. According to the new criteria, 16% of the patients examined were not affected by adenomyosis; applying the new consensus to symptomatic patients could increase false negatives. In a population of symptomatic patients, the diagnosis of adenomyosis is still highly probable even without direct ultrasound signs, given the clinical symptoms and having ruled out other causes of such symptoms.
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RESEARCH QUESTION: How do clinical rectovaginal examination and transvaginal ultrasound examination perform in the diagnosis of parametrial infiltration in patients with endometriosis? DESIGN: This was a multicentre prospective observational study. Patients with suspected deep endometriosis at clinical examination and/or at ultrasound evaluation and scheduled for surgery were included. Following multicentre multidisciplinary meetings, consensus was obtained on terms and methodology to define the parametrium at pelvic anatomy, ultrasound and surgery. Sensitivity, specificity, accuracy, and positive and negative likelihood ratios were calculated for clinical and ultrasound examinations with respect to surgery. RESULTS: In total, 195 women were selected for the present study and 164 were included in the analysis. Ultrasound examination had good to high specificity (>80%) for all parameters, except the left lateral parametrium (78.8%). The sensitivity of ultrasound examination was good to high for fixity of the right and left ovaries, uterosacral ligaments, retrocervix and rectovaginal space; and low for the anterior and lateral parametria, vagina, bladder and bowel. Clinical examination had good to high specificity for fixity of the left ovary, anterior parametrium, right uterosacral ligament, retrocervix and vagina; and low specificity for fixity of the right ovary, lateral parametrium, left uterosacral ligament and rectovaginal space. The sensitivity of clinical examination was good for the uterosacral ligaments and rectovaginal space, and low for the remaining parameters. CONCLUSION: Ultrasound examination provided good specificity for all the parameters, but sensitivity was low for the anterior and lateral parametria. Clinical examination provided good specificity for the anterior and posterior parametria, but sensitivity was low for the anterior and lateral parametria. Further prospective studies are needed to validate this methodology and confirm the results.
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Endometriosis , Female , Humans , Endometriosis/surgery , Peritoneum , Prospective Studies , Sensitivity and Specificity , Ultrasonography/methods , Vagina/diagnostic imagingABSTRACT
BACKGROUND: Several diagnostic prediction models to help clinicians discriminate between benign and malignant adnexal masses are available. This study is a head-to-head comparison of the performance of the Assessment of Different NEoplasias in the adneXa (ADNEX) model with that of the Risk of Ovarian Malignancy Algorithm (ROMA). METHODS: This is a retrospective study based on prospectively included consecutive women with an adnexal tumour scheduled for surgery at five oncology centres and one non-oncology centre in four countries between 2015 and 2019. The reference standard was histology. Model performance for ADNEX and ROMA was evaluated regarding discrimination, calibration, and clinical utility. RESULTS: The primary analysis included 894 patients, of whom 434 (49%) had a malignant tumour. The area under the receiver operating characteristic curve (AUC) was 0.92 (95% CI 0.88-0.95) for ADNEX with CA125, 0.90 (0.84-0.94) for ADNEX without CA125, and 0.85 (0.80-0.89) for ROMA. ROMA, and to a lesser extent ADNEX, underestimated the risk of malignancy. Clinical utility was highest for ADNEX. ROMA had no clinical utility at decision thresholds <27%. CONCLUSIONS: ADNEX had better ability to discriminate between benign and malignant adnexal tumours and higher clinical utility than ROMA. CLINICAL TRIAL REGISTRATION: clinicaltrials.gov NCT01698632 and NCT02847832.
Subject(s)
Adnexal Diseases , Ovarian Neoplasms , Humans , Female , Retrospective Studies , Ultrasonography , Ovarian Neoplasms/diagnosis , Ovarian Neoplasms/surgery , Ovarian Neoplasms/pathology , Adnexal Diseases/diagnosis , Adnexal Diseases/surgery , Adnexal Diseases/pathology , Algorithms , Sensitivity and Specificity , CA-125 AntigenABSTRACT
PURPOSE: This study aimed to develop predictive models for pathological residual disease after neoadjuvant chemoradiation (CRT) in locally advanced cervical cancer (LACC) by integrating parameters derived from transvaginal ultrasound, MRI and PET/CT imaging at different time points and time intervals. METHODS: Patients with histologically proven LACC, stage IB2-IVA, were prospectively enrolled. For each patient, the three examinations were performed before, 2 and 5 weeks after treatment ("baseline", "early" and "final", respectively). Multivariable logistic regression models to predict complete vs. partial pathological response (pR) were developed and a cost analysis was performed. RESULTS: Between October 2010 and June 2014, 88 patients were included. Complete or partial pR was found in 45.5% and 54.5% of patients, respectively. The two most clinically useful models in pR prediction were (1) using percentage variation of SUVmax retrieved at PET/CT "baseline" and "final" examination, and (2) including high DWI signal intensity (SI) plus, ADC, and SUVmax collected at "final" evaluation (area under the curve (95% Confidence Interval): 0.80 (0.71-0.90) and 0.81 (0.72-0.90), respectively). CONCLUSION: The percentage variation in SUVmax in the time interval before and after completing neoadjuvant CRT, as well as DWI SI plus ADC and SUVmax obtained after completing neoadjuvant CRT, could be used to predict residual cervical cancer in LACC patients. From a cost point of view, the use of MRI and PET/CT is preferable.
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Ultrasound examination is an accurate method in the preoperative evaluation of the inguinofemoral lymph nodes when performed by experienced operators. The purpose of the study was to build a robust, multi-modular model based on machine learning to discriminate between metastatic and non-metastatic inguinal lymph nodes in patients with vulvar cancer. One hundred and twenty-seven women were selected at our center from March 2017 to April 2020, and 237 inguinal regions were analyzed (75 were metastatic and 162 were non-metastatic at histology). Ultrasound was performed before surgery by experienced examiners. Ultrasound features were defined according to previous studies and collected prospectively. Fourteen informative features were used to train and test the machine to obtain a diagnostic model (Morphonode Predictive Model). The following data classifiers were integrated: (I) random forest classifiers (RCF), (II) regression binomial model (RBM), (III) decisional tree (DT), and (IV) similarity profiling (SP). RFC predicted metastatic/non-metastatic lymph nodes with an accuracy of 93.3% and a negative predictive value of 97.1%. DT identified four specific signatures correlated with the risk of metastases and the point risk of each signature was 100%, 81%, 16% and 4%, respectively. The Morphonode Predictive Model could be easily integrated into the clinical routine for preoperative stratification of vulvar cancer patients.
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INTRODUCTION: Mutations in the neurofilament polypeptide light chain (NEFL) gene account for <1% of all forms of Charcot-Marie-Tooth (CMT) diseases and present with different phenotypes, including demyelinating, axonal and intermediate neuropathies, and with diverse pattern of transmission, with dominant and recessive inheritance being described. METHODS: Here, we present clinical and molecular data in two new unrelated Italian families, affected with CMT. RESULTS: We studied fifteen subjects (11 women, 4 men), age range 23-62 year. Onset of symptoms was mainly in childhood, with running/walking difficulties; some patients were pauci-asymptomatic; almost all shared variably distributed features of absent/reduced deep tendon reflexes, impaired gait, reduced sensation, and distal weakness in the legs. Skeletal deformities were seldom documented and were of mild degree. Additional features included sensorineural hearing loss in 3 patients, underactive bladder in 2 patients, and cardiac conduction abnormalities, requiring pacemaker implantation, in one child. Central nervous system (CNS) impairment was not documented in any subject. Neurophysiological investigation disclosed feature suggestive of demyelinating sensory-motor polyneuropathy in one family and resembling an intermediate form in the other. Multigene panel analysis of all known CMT genes revealed two heterozygous variants in NEFL: p.E488K and p.P440L. While the latter change segregated with the phenotype, the p.E488K variant appeared to act as a modifier factor being associated with axonal nerve damage. CONCLUSIONS: CMT related to P440L mutation in NEFL is associated with a mild, childhood-onset phenotype, showing prevalently sensory distal limbs involving and with motor impairment predominantly involving anterolateral leg muscles, in the absence of CNS involvement. Additional findings, never reported so far in patients with NEFL mutation, are cardiological and urinary dysfunctions. Our study expands the array of clinical features associated with NEFL-related CMT.
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Charcot-Marie-Tooth Disease , Tooth Diseases , Female , Humans , Charcot-Marie-Tooth Disease/genetics , Muscle, Skeletal , Mutation/genetics , Phenotype , Male , Young Adult , Adult , Middle AgedABSTRACT
The primary aim of the present study was to investigate the prognostic impact (defined as disease-free-DFS and overall survival-OS) of the ultrasound scan tumor parameters, patients' anthropometric parameters, and their combination in early-stage cervical cancer. The secondary aim was to assess the relation between ultrasound characteristics and pathological parametrial infiltration. This is a retrospective, single-center, observational cohort study. Consecutive patients with clinical FIGO 2018 stage IA1-IB2 and IIA1 cervical cancer who underwent preoperative ultrasound examination and radical surgery between 02/2012 and 06/2019 were included. Patients who underwent neo-adjuvant treatment, fertility sparing surgery, and pre-operative conization were excluded. Data from 164 patients were analyzed. Body mass index (BMI) ≤20 Kg/m2 (p < 0.001) and ultrasound tumor volume (p = 0.038) were related to a higher risk of recurrence. The ratios between ultrasound tumor volume and BMI, ultrasound tumor volume and height, and ultrasound largest tumor diameter and BMI were significantly related to a higher risk of recurrence (p = 0.011, p = 0.031, and p = 0.017, respectively). The only anthropometric characteristic related to a higher risk of death was BMI ≤20 Kg/m2 (p = 0.021). In the multivariate analysis, the ratio between ultrasound-measured largest tumor diameter and cervix-fundus uterine diameter (with 37 as the cut-off) was significantly associated with pathological microscopic parametrial infiltration (p = 0.018). In conclusion, a low BMI was the most significant anthropometric biomarker impairing DFS and OS in patients with apparent early-stage cervical cancer. The ratios between ultrasound tumor volume and BMI, ultrasound tumor volume and height, and ultrasound largest tumor diameter and BMI significantly affected DFS but not OS. The ratio between ultrasound-measured largest tumor diameter and cervix-fundus uterine diameter was related to parametrial infiltration. These novel prognostic parameters may be useful in pre-operative workup for a patient-tailored treatment in early-stage cervical cancer.
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OBJECTIVE: To assess the accuracy of pathological diagnosis by transvaginal ultrasound-guided biopsy versus surgery in patients with suspicious primary advanced tubo-ovarian carcinoma. The Feasibility, adequacy, and safety of the procedure were also evaluated. METHODS: Consecutive women with pre-operative suspicious primary advanced tubo-ovarian carcinoma presenting between July 2019 and September 2021 were enrolled. Accuracy was calculated including only cases who underwent surgery. Feasibility was defined as the number of cases in which ultrasound-guided biopsy was possible according to tumor characteristics (morphology and site). Adequacy was defined as the number of conclusive diagnoses out of the samples collected. Safety was defined by the number of major complications which were defined as hospitalization, surgery, and/or blood transfusion. RESULTS: A total of 278 patients were eligible for the study; 158 were enrolled, while 120 were excluded for logistic reasons or patient refusal. Ultrasound-guided biopsy was not feasible in 30 (19%) patients. The samples obtained in the remaining 128 patients were all adequate (100%), and no major complications were noted. A total of 26 (20%) patients started neoadjuvant chemotherapy on the basis of the diagnosis obtained by ultrasound, whereas 102 (80%) patients underwent surgery. Accuracy of ultrasound-guided biopsy versus surgery was 94% (96/102), with six false negative cases at ultrasound (6%). Site (prevesical peritoneum) and size (<8 mm) of the nodules resulted as major predictive factors for ultrasound-guided biopsy failure (false negative). Ultrasound-guided biopsy correctly identified 86 primary invasive tubo-ovarian carcinomas and 10 metastatic tumors. CONCLUSION: Ultrasound-guided biopsy is a feasible, safe, and accurate method to provide histological diagnosis in suspicious advanced tubo-ovarian cancer patients.
Subject(s)
Carcinoma , Ovarian Neoplasms , Humans , Female , Ultrasonography , Image-Guided Biopsy/methods , Ovarian Neoplasms/diagnostic imaging , Ovarian Neoplasms/surgery , Ovarian Neoplasms/pathology , Ultrasonography, Interventional/methodsABSTRACT
OBJECTIVE: To develop and validate magnetic resonance (MR) imaging-based radiomics models for high-risk endometrial cancer (EC) prediction preoperatively, to be able to estimate deep myometrial invasion (DMI) and lymphovascular space invasion (LVSI), and to discriminate between low-risk and other categories of risk as proposed by ESGO/ESTRO/ESP (European Society of Gynaecological Oncology-European Society for Radiotherapy & Oncology and European Society of Pathology) guidelines. METHODS: This retrospective study included 96 women with EC who underwent 1.5-T MR imaging before surgical staging between April 2009 and May 2019 in two referral centers divided into training (T = 73) and validation cohorts (V = 23). Radiomics features were extracted using the MODDICOM library with manual delineation of whole-tumor volume on MR images (axial T2-weighted). Diagnostic performances of radiomic models were evaluated by area under the receiver operating characteristic (ROC) curve in training (AUCT) and validation (AUCV) cohorts by using a subset of the most relevant texture features tested individually in univariate analysis using Wilcoxon-Mann-Whitney. RESULTS: A total of 228 radiomics features were extracted and ultimately limited to 38 for DMI, 29 for LVSI, and 15 for risk-classes prediction for logistic radiomic modeling. Whole-tumor radiomic models yielded an AUCT/AUCV of 0.85/0.68 in DMI estimation, 0.92/0.81 in LVSI prediction, and 0.84/0.76 for differentiating low-risk vs other risk classes (intermediate/high-intermediate/high). CONCLUSION: MRI-based radiomics has great potential in developing advanced prognostication in EC.
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PURPOSE: Stress urinary incontinence (SUI) is usually treated with mid-urethral slings. The best approach is still debated and the relationship between slings and pelvic structures is not completely understood. The aim of this study is to identify any difference between trans-obturator tape (TOT) and single incision sling (minisling). METHODS: Patients submitted to TOT or minisling were included in the study. Q-tip and stress test, ICIQ-SF questionnaire, PGI-I validated score, and 2D/3D transvaginal ultrasound parameters were collected at 1- and 6-month follow-up. Correlations between ultrasound parameters and clinical outcomes, PGI-I and ICIq-SF, were performed. RESULTS: 61 patients were included in the study. PGI-I score was significantly lower in the minisling group than in TOT group at 1-month (p = 0.016) and 6-month follow-up (p = 0.076). The median distance between the sling and the lumen of urethra was significantly higher and the angle between the branches of the sling was significantly narrower in the minisling group. There were significant differences in distances between the sling and the bladder neck at 1-month and 6-month follow-up. An inverse correlation between angle of the branches and the Q-tip test was observed (p = 0.059 Pearson's Rho - 0.578). PGI-I correlated also with angle of the branches (p = 0.009, Pearson's Rho 0.503). CONCLUSION: Patients undergoing TOT or minisling are similarly satisfied but show differences at ultrasound exam at 1- and 6-month follow-up. Pelvic floor ultrasound could be used in a short-term follow-up to visualize the sling position and to plan the most appropriate follow-up strategy.
Subject(s)
Suburethral Slings , Urinary Incontinence, Stress , Humans , Pelvic Floor , Treatment Outcome , Urethra , Urinary Incontinence, Stress/diagnostic imaging , Urinary Incontinence, Stress/surgery , Urologic Surgical ProceduresABSTRACT
OBJECTIVE: To determine the efficacy of ultrasound in assessing the inguinal lymph nodes in patients with vulvar cancer. METHODS: A systematic review of published research up to October 2020 that compares the results of ultrasound to determine groin node status with histology was conducted. All study types that reported primary data on the role of ultrasound in the evaluation of groin lymph nodes in vulvar cancer were included in the systematic review. Data retrieved from the included studies were pooled in random-effects meta-analyses. RESULTS: After the screening and selection process, eight articles were deemed pertinent for inclusion in the systematic review and meta-analysis. The random-effects model showed a pooled Se of 0.85 (95% CI: 0.81-0.89), Sp of 0.86 (95% CI: 0.81-0.91), PPV of 0.65 (95% CI: 0.54-0.79) and NPV of 0.92 (95% CI: 0.91-0.94). There was a pooled LR+ and LR- of 6.44 (95% CI: 3.72-11.4) and 0.20 (95% CI: 0.14-0.27), respectively. The pooled accuracy was 0.85 (95% CI: 0.80-0.91). CONCLUSIONS: Although the studies had small sample sizes, this review represents the best summary of the data so far. Ultrasound has revealed high sensitivity and high negative predictive value in the assessment of nodal status in vulvar cancer.
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PURPOSE: Cystadenofibroma (CAF) is a rare tumour of the ovary that can be confused with a borderline or malignant lesion due to its morphological characteristics. The study aims to analyse the MRI (magnetic resonance imaging) features of histologically proven ovarian cystadenofibromas according to lexicon-based and O-RADS (Ovarian-Adnexal Reporting and Data System) descriptors, with particular attention to time-intensity curves (TIC) and Diffusion-Weighted sequences (DWI); we also wanted to test the performance of O-RADS MRI risk stratification system in this particular subgroup of patients. METHODS: We have included all patients who performed MR between October 2019 and December 2021 after an inconclusive trans-vaginal ultrasound. All patients underwent surgery with histological results of CAF. According to the O-RADS lexicon, we reported the morphological characteristics of each lesion and their appearance in the perfusion-weighted imaging (PWI) and DWI sequences. We assessed the risk of malignancy for each lesion through O-RADS MRI score. RESULTS: Twenty-one histologically proven CAF were analysed, of which 20 benign and one borderline with degeneration into adenocarcinoma. We described the typical morphological characteristics of CAF according to lexicon-based and O-RADS descriptors. Analysis of time-intensity curves (TIC) in PWI sequences showed a slow and progressive enhancement of solid tissue (type I curve), configuring an O-RADS score of 2 or 3, except for the only malignant lesion that showed a type II curve and restriction in DWI (O-RADS 4). CONCLUSIONS: Our study is the largest comprising PWI and DWI sequences, highlighting their pivotal role. O-RADS score correctly classified the masses as benign or malignant.
Subject(s)
Cystadenofibroma , Diffusion Magnetic Resonance Imaging/methods , Female , Humans , Magnetic Resonance Imaging/methods , Magnetic Resonance Spectroscopy , Perfusion Imaging , Retrospective StudiesABSTRACT
BACKGROUND: Surgical exploration remains the gold standard for evaluating the extension of disease and predicting resectability. A laparoscopy-based scoring model was developed by Fagotti and colleagues in 2006 and updated in 2015, based on the intraoperative presence or absence of some specific cancer features. The model proved an overall accuracy rate of 77% to 100% and is considered the reference test for assessing resectability in our institution. OBJECTIVE: The primary aim of the study was to analyze the agreement between preoperative ultrasound examination and laparoscopic findings in assessing the extension of intraabdominal disease using 6 parameters described by Fagotti's score. STUDY DESIGN: This was a prospective single-center observational study. Between January 2019 and June 2020, consecutive patients with clinical or radiological suspicion of ovarian or peritoneal cancer were assessed with preoperative ultrasound examination and assigned a score based on the 6 Fagotti score parameters (great omentum, liver surface, lesser omentum/stomach/spleen, parietal peritoneum, diaphragms, bowel disease). Presence of mesenteral retraction of the small bowel and miliary carcinomatosis on the serosa were also evaluated. Each parameter was correlated with laparoscopic findings. Concordance was calculated between ultrasound and laparoscopic parameters using Cohen's kappa. RESULTS: Cohen's kappa ranged from 0.70 to 0.90 for carcinomatosis on the small or large bowel, supracolic omentum, liver surface, and diaphragms. Cohen's kappa test was lower for carcinomatosis on the parietal peritoneum (k=0.63) and on the lesser omentum or lesser curvature of the stomach or spleen (k=0.54). The agreement between ultrasound and surgical predictive index value (score) was k=0.74. For the evaluation of mesenteral retraction and miliary carcinomatosis, the agreement was low (k=0.57 and k=0.36, respectively). CONCLUSION: The results of ultrasound and laparoscopy in the assessment of intraabdominal tumor spread were in substantial agreement for almost all the parameters. Ultrasound examination can play a useful role in the preoperative management of patients with ovarian cancer when used in dedicated referral centers.
Subject(s)
Carcinoma , Laparoscopy , Ovarian Neoplasms , Peritoneal Neoplasms , Carcinoma/pathology , Carcinoma, Ovarian Epithelial/pathology , Female , Humans , Laparoscopy/methods , Neoplasm Staging , Ovarian Neoplasms/diagnostic imaging , Ovarian Neoplasms/surgery , Peritoneal Neoplasms/surgery , Prospective StudiesABSTRACT
Ovarian cystadenofibroma is a benign ovarian tumor that is characterized by a consistent percentage of masses, which remain indeterminate in ultrasonography and require magnetic resonance (MR) investigation; they may mimic borderline or malignant lesions. Three main morphologic patterns, resembling different ovarian neoplasms, can be identified in cystadenofibromas: multilocular solid lesions, unilocular cystic lesions with parietal thickening, and purely cystic masses. However, a cystoadenofibroma has typical features, such as T2-weighted hypointensity associated with no restrictions in diffusion-weighted imaging (the so-called "dark-dark appearance") and progressive post-contrast enhancement (type I perfusion curve). The purpose of this study was to review the features of ovarian cystadenofibromas in MR imaging and to suggest pearls and pitfalls regarding their correct diagnosis.
Subject(s)
Cystadenofibroma , Ovarian Neoplasms , Cystadenofibroma/diagnostic imaging , Diffusion Magnetic Resonance Imaging , Female , Humans , Magnetic Resonance Imaging , Ovarian Neoplasms/diagnostic imaging , UltrasonographyABSTRACT
The current review sums up the literature on the diagnostic performance of models to predict malignancy in adnexal masses and the ability of ultrasound to make a specific diagnosis in adnexal masses. A summary of the role of ultrasound in assessing the extension of malignant ovarian disease is also provided.