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4 results on '"Smaldone, Michele"'

2. Preoperative CT diagnosis of perforated Meckel's diverticulitis in a young patient: a case report.

Author

Gambardella, Michele, Smaldone, Michele, Iazzetta, Francesco, Corbisiero, Maria Carmela, Graviero, Gennaro, and Coppola, Giuseppe Morelli

Subjects
MECKEL diverticulum, COMPUTED tomography, ABDOMINAL pain, RARE diseases, PREOPERATIVE care, ADULTS
Abstract

Meckel's diverticulum (MD) is a common asymptomatic congenital intestinal anomaly. Clinical manifestations of MD can occur in about 4 % of cases by the presentation of its complications, generally intestinal occlusion, bleeding, and diverticular inflammation. MD's complications are challenging preoperative diagnoses, as manifest with clinical symptoms that overlap with those of other acute non-traumatic abdominal diseases. Thus, in the emergency setting, abdominal computed tomography (CT) represents an essential tool for the correct diagnosis of complicated MD. We present a case of a preoperative CT diagnosis of perforated Meckel's diverticulitis in a young patient admitted to our Emergency Department complaining of acute abdominal pain. The case highlights the importance of evaluating Meckel's diverticulum complications among the differential diagnoses of acute non-traumatic abdominal pain and the high sensitivity of CT in assessing their presence in the proper clinical setting. [ABSTRACT FROM AUTHOR]

Published
2024
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3. Diffusion volume (DV) measurement in endometrial and cervical cancer: A new MRI parameter in the evaluation of the tumor grading and the risk classification

Author

Mainenti, Pier Paolo, primary, Pizzuti, Laura Micol, additional, Segreto, Sabrina, additional, Comerci, Marco, additional, Fronzo, Simona De, additional, Romano, Federica, additional, Crisci, Vincenzina, additional, Smaldone, Michele, additional, Laccetti, Ettore, additional, Storto, Giovanni, additional, Alfano, Bruno, additional, Maurea, Simone, additional, Salvatore, Marco, additional, and Pace, Leonardo, additional

Published
2016
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4. Diffusion volume (DV) measurement in endometrial and cervical cancer: A new MRI parameter in the evaluation of the tumor grading and the risk classification

Author

Vincenzina Crisci, Laura Micol Pizzuti, Marco Salvatore, Federica Romano, Simone Maurea, Pier Paolo Mainenti, Marco Comerci, Giovanni Storto, Leonardo Pace, Sabrina Segreto, Michele Smaldone, Ettore Laccetti, Bruno Alfano, Simona De Fronzo, Mainenti, Pier Paolo, Pizzuti, Laura Micol, Segreto, Sabrina, Comerci, Marco, De Fronzo, Simona, Romano, Federica, Crisci, Vincenzina, Smaldone, Michele, Laccetti, Ettore, Storto, Giovanni, Alfano, Bruno, Maurea, Simone, Salvatore, Marco, and Pace, Leonardo

Subjects
Adult, Risk, medicine.medical_specialty, ADC map, MRI, DWI, ADC maps, Diffusion volume, Cervical Endometrial Cancera, Tumor burden, Uterine Cervical Neoplasms, DWI, computer.software_genre, Sensitivity and Specificity, Standard deviation, ADC maps, Cervical Endometrial Cancera, 030218 nuclear medicine & medical imaging, 03 medical and health sciences, 0302 clinical medicine, Voxel, Image Interpretation, Computer-Assisted, Tumor Grading, Medicine, Effective diffusion coefficient, Humans, Radiology, Nuclear Medicine and imaging, Cancer, Aged, Cervical cancer, Observer Variation, Analysis of Variance, business.industry, Endometrial cancer, General Medicine, Middle Aged, Diffusion volume, medicine.disease, Endometrial Neoplasms, Tumor Burden, Diffusion Magnetic Resonance Imaging, 030220 oncology & carcinogenesis, Cervical, Female, Radiology, Neoplasm Grading, business, Nuclear medicine, Risk classification, computer, Endometrial, MRI
Abstract

A new MRI parameter representative of active tumor burden is proposed: diffusion volume (DV), defined as the sum of all the voxels within a tumor with apparent diffusion coefficient (ADC) values within a specific range. The aims of the study were: (a) to calculate DV on ADC maps in patients with cervical/endometrial cancer; (b) to correlate DV with histological grade (G) and risk classification; (c) to evaluate intra/inter-observer agreement of DV calculation.Fifty-three patients with endometrial (n=28) and cervical (n=25) cancers underwent pelvic MRI with DWI sequences. Both endometrial and cervical tumors were classified on the basis of G (G1/G2/G3) and FIGO staging (low/medium/high-risk). A semi-automated segmentation procedure was used to calculate the DV. A freehand closed ROI outlined the whole visible tumor on the most representative slice of ADC maps defined as the slice with the maximum diameter of the solid neoplastic component. Successively, two thresholds were generated on the basis of the mean and standard deviation (SD) of the ADC values: lower threshold (LT="mean minus three SD") and higher threshold (HT="mean plus one SD"). The closed ROI was expanded in 3D, including all the contiguous voxels with ADC values in the range LT-HT × 10-3mm(2)/s. A Kruskal-Wallis test was used to assess the differences in DV among G and risk groups. Intra-/inter-observer variability for DV measurement was analyzed according to the method of Bland and Altman and the intraclass-correlation-coefficient (ICC).DV values were significantly different among G and risk groups in both endometrial (p0.05) and cervical cancers (p ≤ 0.01). For endometrial cancer, DV of G1 (mean ± sd: 2.81 ± 3.21 cc) neoplasms were significantly lower than G2 (9.44 ± 9.58 cc) and G3 (11.96 ± 8.0 cc) ones; moreover, DV of low risk cancers (5.23 ± 8.0 cc) were significantly lower than medium (7.28 ± 4.3 cc) and high risk (14.7 ± 9.9 cc) ones. For cervical cancer, DV of G1 (0.31 ± 0.13 cc) neoplasms was significantly lower than G3 (40.68 ± 45.65 cc) ones; moreover, DV of low risk neoplasms (6.98 ± 8.08 cc) was significantly lower than medium (21.7 ± 17.13 cc) and high risk (62.9 ± 51.12 cc) ones and DV of medium risk neoplasms was significantly lower than high risk ones. The intra-/inter-observer variability for DV measurement showed an excellent correlation for both cancers (ICC ≥ 0.86).DV is an accurate index for the assessment of G and risk classification of cervical/endometrial cancers with low intra-/inter-observer variability.

Published
2015

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