PURPOSE: : To evaluate the predictive value of magnetic resonance imaging in retinoblastoma for the likelihood of high-risk pathologic features. METHODS: : A retrospective study of 64 eyes enucleated from 60 retinoblastoma patients. Contrast-enhanced magnetic resonance imaging was performed before enucleation. Main outcome measures included demographics, laterality, accuracy, sensitivity, and specificity of magnetic resonance imaging in detecting high-risk pathologic features. RESULTS: : Optic nerve invasion and choroidal invasion were seen microscopically in 34 (53%) and 28 (44%) eyes, respectively, while they were detected in magnetic resonance imaging in 22 (34%) and 15 (23%) eyes, respectively. The accuracy of magnetic resonance imaging in detecting prelaminar invasion was 77% (sensitivity 89%, specificity 98%), 56% for laminar invasion (sensitivity 27%, specificity 94%), 84% for postlaminar invasion (sensitivity 42%, specificity 98%), and 100% for optic cut edge invasion (sensitivity100%, specificity 100%). The accuracy of magnetic resonance imaging in detecting focal choroidal invasion was 48% (sensitivity 33%, specificity 97%), and 84% for massive choroidal invasion (sensitivity 53%, specificity 98%), and the accuracy in detecting extrascleral extension was 96% (sensitivity 67%, specificity 98%). CONCLUSIONS AND RELEVANCE:: Magnetic resonance imaging should not be the only method to stratify patients at high risk from those who are not, eventhough it can predict with high accuracy extensive postlaminar optic nerve invasion, massive choroidal invasion, and extrascleral tumor extension.
PURPOSE: : To evaluate the predictive value of magnetic resonance imaging in retinoblastoma for the likelihood of high-risk pathologic features. METHODS: : A retrospective study of 64 eyes enucleated from 60 retinoblastomapatients. Contrast-enhanced magnetic resonance imaging was performed before enucleation. Main outcome measures included demographics, laterality, accuracy, sensitivity, and specificity of magnetic resonance imaging in detecting high-risk pathologic features. RESULTS: : Optic nerve invasion and choroidal invasion were seen microscopically in 34 (53%) and 28 (44%) eyes, respectively, while they were detected in magnetic resonance imaging in 22 (34%) and 15 (23%) eyes, respectively. The accuracy of magnetic resonance imaging in detecting prelaminar invasion was 77% (sensitivity 89%, specificity 98%), 56% for laminar invasion (sensitivity 27%, specificity 94%), 84% for postlaminar invasion (sensitivity 42%, specificity 98%), and 100% for optic cut edge invasion (sensitivity100%, specificity 100%). The accuracy of magnetic resonance imaging in detecting focal choroidal invasion was 48% (sensitivity 33%, specificity 97%), and 84% for massive choroidal invasion (sensitivity 53%, specificity 98%), and the accuracy in detecting extrascleral extension was 96% (sensitivity 67%, specificity 98%). CONCLUSIONS AND RELEVANCE:: Magnetic resonance imaging should not be the only method to stratify patients at high risk from those who are not, eventhough it can predict with high accuracy extensive postlaminar optic nerve invasion, massive choroidal invasion, and extrascleral tumor extension.
Entities:
Keywords:
Retinoblastoma; laminar optic nerve invasion; magnetic resonance imaging
Authors: Ankit Singh Tomar; Paul T Finger; Brenda Gallie; Tero T Kivelä; Ashwin Mallipatna; Chengyue Zhang; Junyang Zhao; Matthew W Wilson; Rachel C Brennan; Michala Burges; Jonathan Kim; Jesse L Berry; Rima Jubran; Vikas Khetan; Suganeswari Ganesan; Andrey Yarovoy; Vera Yarovaya; Elena Kotova; Denis Volodin; Yacoub A Yousef; Kalle Nummi; Tatiana L Ushakova; Olga V Yugay; Vladimir G Polyakov; Marco A Ramirez-Ortiz; Elizabeth Esparza-Aguiar; Guillermo Chantada; Paula Schaiquevich; Adriana Fandino; Jason C Yam; Winnie W Lau; Carol P Lam; Phillipa Sharwood; Sonia Moorthy; Quah Boon Long; Vera Adobea Essuman; Lorna A Renner; Ekaterina Semenova; Jaume Català-Mora; Genoveva Correa-Llano; Elisa Carreras Journal: Ophthalmology Date: 2022-04-15 Impact factor: 14.277
Authors: Mohammed M Abusayf; Hind M Alkatan; Sahar Elkhamary; Saleh A Almesfer; Azza M Y Maktabi Journal: BMC Ophthalmol Date: 2020-09-29 Impact factor: 2.209