Efficacy of mammographic artificial intelligence in detecting different histopathological subtypes of breast cancer / (Record no. 83126)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 03195cam a2200349 a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | EG-GiCUC |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250223032847.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 211114s2020 ua dh f m 000 0 eng d |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | EG-GiCUC |
| Language of cataloging | eng |
| Transcribing agency | EG-GiCUC |
| 041 0# - LANGUAGE CODE | |
| Language code of text/sound track or separate title | eng |
| 049 ## - LOCAL HOLDINGS (OCLC) | |
| Holding library | Deposite |
| 097 ## - Thesis Degree | |
| Thesis Level | M.Sc |
| 099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC) | |
| Classification number | Cai01.11.31.M.Sc.2020.He.E |
| 100 0# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Hedaya Wasfy Ali Mohamed |
| 245 10 - TITLE STATEMENT | |
| Title | Efficacy of mammographic artificial intelligence in detecting different histopathological subtypes of breast cancer / |
| Statement of responsibility, etc. | Hedaya Wasfy Ali Mohamed ; Supervised Mariam Raafat Louis Bouls , Basma Mohamed Alkalaawy , Passant Essam Eldin Ahmed Shibel |
| 246 15 - VARYING FORM OF TITLE | |
| Title proper/short title | فاعلية الذكاء الاصطناعى بالتصوير الشعاعى للثدى فى الكشف عن الأنواع النسيجية المختلفة لسرطان الثدى |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. | |
| Place of publication, distribution, etc. | Cairo : |
| Name of publisher, distributor, etc. | Hedaya Wasfy Ali Mohamed , |
| Date of publication, distribution, etc. | 2020 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 116 P. : |
| Other physical details | charts , facsimiles ; |
| Dimensions | 25cm |
| 502 ## - DISSERTATION NOTE | |
| Dissertation note | Thesis (M.Sc.) - Cairo University - Faculty of Medicine - Department of Radio-Diagnosis |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc. | Background:Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography screening accuracy by reducing missed cancers and false positives.AI-based algorithms can also increase the efficiency of interpretation workflows by reducing workload and interpretation time Methods: The study was prospectively carried on 123 female patients with 134 pathologically proven malignant breast lesion (between December 2020 to June 2021); the mean age was 53.6 ± SD 12.0 years old.Females coming to breast imaging unit either for screening or with breast complaint, basic sono-mammography was done. Artificial intelligence images were automatically generated by AI software (Lunit INSIGHT for mammography) from mammographic images. Biopsieswere done for suspicious breast lesions.Artificial intelligence results as well as mammography results were correlated to the pathology as the gold reference standard. Results: Artificial intelligence has higher sensitivity than mammography in detecting malignant breast lesions; sensitivity of the two methods (AI and mammography) was 96.6% vs 87.3% and false negative rate 3.4% vs 12.7% respectively. Also AI was more sensitive to detect cancers with suspicious mass 95.2% vs 75%, suspicious calcifications 100% vs 86.5% as well as asymmetry and distortion 100% vs 84.6%.AI has better performance in detecting different histopathological subtype of breast malignancy as DCIS, IDC and ILC than mammography with sensitivity (100%, 96.7%, 96.6%) vs (88.9%, 89%, 82.2%) respectively.While in other rare types of breast malignancy both AI and mammography showed the same sensitivity 80% |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Issued also as CD |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Artificial intelligence |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Breast cancer |
| 653 #4 - INDEX TERM--UNCONTROLLED | |
| Uncontrolled term | Mammography |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Basma Mohamed Alkalaawy , |
| Relator term | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Mariam Raafat Louis Bouls , |
| Relator term | |
| 700 0# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Passant Essam Eldin Ahmed Shibel , |
| Relator term | |
| 856 ## - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a> |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
| Cataloger | Nazla |
| Reviser | Revisor |
| 905 ## - LOCAL DATA ELEMENT E, LDE (RLIN) | |
| Cataloger | Shimaa |
| Reviser | Cataloger |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Thesis |
| Source of classification or shelving scheme | Not for loan | Home library | Current library | Date acquired | Full call number | Barcode | Date last seen | Koha item type | Copy number |
|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | قاعة الرسائل الجامعية - الدور الاول | 11.02.2024 | Cai01.11.31.M.Sc.2020.He.E | 01010110084730000 | 22.09.2023 | Thesis | ||
| Dewey Decimal Classification | المكتبة المركزبة الجديدة - جامعة القاهرة | مخـــزن الرســائل الجـــامعية - البدروم | 11.02.2024 | Cai01.11.31.M.Sc.2020.He.E | 01020110084730000 | 22.09.2023 | CD - Rom | 84730.CD |