scholarly journals VP04.21: Use of ultrasound score systems and biomarkers in the classification of suspicious ovarian masses

2021 ◽  
Vol 58 (S1) ◽  
pp. 110-110
Author(s):  
I. Pelayo ◽  
C. Martin‐Gromaz ◽  
V. Corraliza ◽  
M. Rosillo ◽  
J. Sancho ◽  
...  
Keyword(s):  
Ultrasound Score ◽  
Score Systems ◽  
Ovarian Masses

scholarly journals VP04.22: Use of ultrasound score systems in the study of malignant ovarian masses in premenopausal women

2021 ◽  
Vol 58 (S1) ◽  
pp. 110-110
Author(s):  
I. Pelayo ◽  
C. Martin‐Gromaz ◽  
V. Corraliza ◽  
M. Pablos ◽  
E. Cabezas ◽  
...  
Keyword(s):  
Premenopausal Women ◽  
Ultrasound Score ◽  
Score Systems ◽  
Ovarian Masses

scholarly journals A prospective study of clinical and diagnostic methods of ovarian tumors admitted in a tertiary care hospital and its correlation with histopathology

2021 ◽  
Author(s):  
Silika Madria ◽  
Vineeta Ghanghoriya ◽  
Kavita N. Singh ◽  
Manisha Lokwani ◽  
Ranu Tiwari
Keyword(s):  
Clinical Diagnosis ◽  
Sensitivity And Specificity ◽  
Tertiary Care ◽  
Ovarian Tumors ◽  
Diagnostic Methods ◽  
Care Hospital ◽  
Ultrasound Score ◽  
Benign Ovarian Tumors ◽  
Sensitivity Specificity ◽  
Ovarian Masses

Background: Aim of the study was to study demographic profile and diagnostic modalities of ovarian tumors and their correlation with histopathological report (HPR).Methods: Prospective observational study conducted in NSCB medical college, Jabalpur from February 2019 to July 2020 on subjects with ultrasonographically diagnosed ovarian tumors. Relevant history obtained, gynecologic examination, investigations recorded. Subjects followed up to collection of HPR and correlation with histopathology done.Results: Out of 120 cases of ovarian tumors, 39.16% were malignant and 60.83% were benign ovarian tumors. Out of 80 premenopausal females, majority (78.75%) had benign ovarian masses. Amongst 40 postmenopausal females, 75% of ovarian masses were malignant. CA125 had sensitivity 76.59%, specificity 76.71% and accuracy 76.66% in diagnosing ovarian malignancy. Amongst 4 RMI scores, RMI 1 has the highest sensitivity and specificity 85.10%, 86.30% respectively. Sensitivity, specificity, and accuracy of ultrasound score was 65.21%, 86.30% and 77.5% respectively. Sensitivity and specificity of clinical diagnosis was 83% and 95.89% respectively and ROC analysis showed clinical diagnosis can accurately predict benign and malignant ovarian tumors in 89% cases.Conclusions: RMI 1 score has the highest sensitivity and specificity in our study. When all 4 methods of diagnosis i.e., RMI Score, ultrasound score, CA125 and clinical diagnosis were compared, clinical diagnosis has highest prediction of malignancy.

Comparison of HE 4, CA 125, ROMA score and ultrasound score in the differential diagnosis of ovarian masses

2020 ◽  
Vol 49 (5) ◽  
pp. 101713 ◽  
Author(s):  
Koray Aslan ◽  
M. Anıl Onan ◽  
Canan Yilmaz ◽  
Neslihan Bukan ◽  
Mehmet Erdem
Keyword(s):  
Differential Diagnosis ◽  
Ca 125 ◽  
Ultrasound Score ◽  
Ovarian Masses

scholarly journals A comparison of CA125, HE4, risk ovarian malignancy algorithm (ROMA), and risk malignancy index (RMI) for the classification of ovarian masses

Clinics ◽  
2012 ◽  
Vol 67 (5) ◽  
pp. 437-441 ◽  
Author(s):  
C Anton ◽  
FM Carvalho ◽  
EI Oliveira ◽  
GA Maciel ◽  
EC Baracat ◽  
...  
Keyword(s):  
Ovarian Malignancy ◽  
Ovarian Masses

Classification of Benign and Malignant Ovarian Masses Based on Quantitative Parameters of DCE-MRI

2014 ◽  
Vol 11 (S1) ◽  
Author(s):  
Anahita Fathi Kazerooni ◽  
Mohammad Hadi Aarabi ◽  
Elaheh Kia ◽  
Hamidreza Saligheh Rad
Keyword(s):  
Dce Mri ◽  
Quantitative Parameters ◽  
Ovarian Masses

Efficacy of the echo pattern classification of ovarian tumors 2000 in conjunction with transvaginal ultrasonography for diagnosis of ovarian masses

2015 ◽  
Vol 43 (2) ◽  
pp. 249-255 ◽  
Author(s):  
Atsushi Tajima ◽  
Chikako Suzuki ◽  
Iwaho Kikuchi ◽  
Hanako Kasahara ◽  
Akari Koizumi ◽  
...  
Keyword(s):  
Pattern Classification ◽  
Ovarian Tumors ◽  
Transvaginal Ultrasonography ◽  
Ovarian Masses

Note on the spectral classification of carbon stars in the photographic infrared region

1966 ◽  
Vol 24 ◽  
pp. 21-23
Author(s):  
Y. Fujita
Keyword(s):  
Infrared Region ◽  
Spectral Classification ◽  
Carbon Stars

We have investigated the spectrograms (dispersion: 8Å/mm) in the photographic infrared region fromλ7500 toλ9000 of some carbon stars obtained by the coudé spectrograph of the 74-inch reflector attached to the Okayama Astrophysical Observatory. The names of the stars investigated are listed in Table 1.

Diagnostic Value of Electron Microscopy in Soft Tissue Tumors

1970 ◽  
Vol 28 ◽  
pp. 220-221
Author(s):  
Gerald Fine ◽  
Azorides R. Morales
Keyword(s):  
Cardiac Myxoma ◽  
Osteogenic Sarcoma ◽  
Diagnostic Value ◽  
Soft Tissue Tumors ◽  
Amelanotic Melanoma ◽  
Growth Patterns ◽  
Light Microscopic Level ◽  
Mesenchymal Tumors ◽  
Good Agreement

For years the separation of carcinoma and sarcoma and the subclassification of sarcomas has been based on the appearance of the tumor cells and their microscopic growth pattern and information derived from certain histochemical and special stains. Although this method of study has produced good agreement among pathologists in the separation of carcinoma from sarcoma, it has given less uniform results in the subclassification of sarcomas. There remain examples of neoplasms of different histogenesis, the classification of which is questionable because of similar cytologic and growth patterns at the light microscopic level; i.e. amelanotic melanoma versus carcinoma and occasionally sarcoma, sarcomas with an epithelial pattern of growth simulating carcinoma, histologically similar mesenchymal tumors of different histogenesis (histiocytoma versus rhabdomyosarcoma, lytic osteogenic sarcoma versus rhabdomyosarcoma), and myxomatous mesenchymal tumors of diverse histogenesis (myxoid rhabdo and liposarcomas, cardiac myxoma, myxoid neurofibroma, etc.)

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