Search Results - "Strachowski LM"

O-RADS for assessment of adnexal lesions: current status, challenges and future directions.

Authors: Guo Y Strachowski LM Shinagare AB et al.

Source: Cancer imaging : the official publication of the International Cancer Imaging Society [Cancer Imaging] 2026 Jun 27. Date of Electronic Publication: 2026 Jun 27.

Publication Type: Journal Article; Review

Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 101172931 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1470-7330 (Electronic) Linking ISSN: 14707330 NLM ISO Abbreviation: Cancer Imaging Subsets: MEDLINE

Silent giant: a 35-cm mucinous ovarian cystadenoma presenting as failure to lose weight.

Authors: Cataña, Eduardo A Román Castellanos, Paula Cornejo, Diego et al.

Source: Journal of Surgical Case Reports. Apr2026, Vol. 2026 Issue 4, p1-3. 3p.

Construction of a nomogram model for predicting benignity and malignancy in adnexal masses.

Authors: Zhang, Kun Wen, Lieming Guo, Yuyang et al.

Source: Ultrasonography. May2026, Vol. 45 Issue 3, p241-251. 11p.

A Preoperative Nomogram Integrating Clinical and Ultrasonic Features to Predict Extra-Pelvic Metastasis in Ovarian Cancer: A Multicenter Retrospective Study.

Authors: Wang, Yanli Lin, Weihong He, Yifang et al.

Source: International Journal of Women's Health. Jan2026, Vol. 18, p1-13. 13p.

Post-ovarian cystectomy imaging appearances for borderline ovarian tumors: Pearls and pitfalls.

Authors: Kuo, Benjamin Jyhhan Chin, Felicia Hui Xian Chew, Sung Hock et al.

Source: Journal of Clinical Imaging Science. Apr2026, Vol. 16 Issue 4, p1-7. 7p.

Ovarian-Adnexal Imaging-Reporting and Data System (O-RADS) ultrasound version 2019: a prospective validation and comparison to updated version (v2022) in pathologically confirmed adnexal masses.

Authors: Almalki, Yassir Edrees Basha, Mohammad Abd Alkhalik Nada, Mohamad Gamal et al.

Source: European Radiology. Jun2025, Vol. 35 Issue 6, p3080-3095. 16p.

Subjects: Diagnostic imaging, Ovarian tumors, Benign tumors, Risk assessment, Computer-assisted image analysis (Medicine), Tumors, Scientific observation, Statistical accuracy

RADS ALPHABET: news and tips for young and general radiologists.

Authors: Cannella, Roberto Lanza, Carolina Pellegrino, Giuseppe et al.

Source: Insights into Imaging. 1/12/2026, Vol. 17 Issue 1, p1-22. 22p.

Polycystic Ovary Syndrome (PCOS) diagnostic methods in machine learning: a systematic literature review.

Authors: Arora, Shikha Vedpal Chauhan, Naresh

Source: Multimedia Tools & Applications; May2025, Vol. 84 Issue 16, p16301-16337, 37p

GI-RADS versus O-RADS in the differential diagnosis of adnexal masses: a systematic review and head-to-head meta-analysis.

Authors: Perez, Marina Meseguer, Ainhoa Vara, Julio et al.

Source: Ultrasonography. Nov2024, Vol. 43 Issue 6, p438-447. 10p.

Multimodal Deep Learning Based on Ultrasound Images and Clinical Data for Better Ovarian Cancer Diagnosis.

Authors: Su C Miao K Zhang L et al.

Source: Journal of imaging informatics in medicine [J Imaging Inform Med] 2026 Apr; Vol. 39 (2), pp. 1168-1180. Date of Electronic Publication: 2025 Jun 24.

Publication Type: Journal Article

Journal Info: Publisher: Springer Nature Country of Publication: Switzerland NLM ID: 9918663679206676 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2948-2933 (Electronic) Linking ISSN: 29482925 NLM ISO Abbreviation: J Imaging Inform Med Subsets: MEDLINE

Pearls and Pitfalls of First-Trimester US Screening and Prenatal Testing: A Pictorial Review.

Authors: Packard AT Clingan MJ Strachowski LM et al.

Source: Radiographics : a review publication of the Radiological Society of North America, Inc [Radiographics] 2025 Jun; Vol. 45 (6), pp. e240184.

Publication Type: Journal Article; Review

Journal Info: Publisher: Radiological Society of North America Country of Publication: United States NLM ID: 8302501 Publication Model: Print Cited Medium: Internet ISSN: 1527-1323 (Electronic) Linking ISSN: 02715333 NLM ISO Abbreviation: Radiographics Subsets: MEDLINE

Clinical application of O-RADS combined with CEUS and HE4 in the diagnosis of adnexal masses.

Authors: Fu, Qian Yuan, Ying Zhou, Zhaohui et al.

Source: Medical Ultrasonography. Jun2026, Vol. 28 Issue 2, p154-161. 8p.

Ultrasound-based deep learning model as an assistant improves the diagnosis of ovarian tumors: a multicenter study.

Authors: Wang, Yanli Zhang, Jiansong He, Yifang et al.

Source: Insights into Imaging. 10/16/2025, Vol. 16 Issue 1, p1-13. 13p.

Inter-reader reliability of Ovarian-Adnexal Reporting and Data System US: a systematic review and meta-analysis.

Authors: Bae SM Kim DH Kang JH

Source: Abdominal radiology (New York) [Abdom Radiol (NY)] 2025 Aug; Vol. 50 (8), pp. 3806-3815. Date of Electronic Publication: 2025 Jan 22.

Publication Type: Journal Article; Systematic Review; Meta-Analysis

Journal Info: Publisher: Springer Country of Publication: United States NLM ID: 101674571 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2366-0058 (Electronic) NLM ISO Abbreviation: Abdom Radiol (NY) Subsets: MEDLINE

Contrast-enhanced ultrasound findings of ovarian Sertoli-Leydig cell tumor: a case report with ultrasonographic–pathological insights.

Authors: Lin, Siting Zhang, Man Wu, Manli et al.

Source: BMC Women's Health. 7/18/2025, Vol. 25 Issue 1, p1-7. 7p.

A retrospective case series at a tertiary hospital in china: ultrasonographic features of Struma ovarii.

Authors: Feng, Yanan Chen, Yanjie Wu, Qiong et al.

Source: BMC Cancer. 7/16/2025, Vol. 25 Issue 1, p1-7. 7p.

Clinical Practice Guidelines for Menopause: *An Executive Summary and Recommendations: Indian Menopause Society 2026.

Authors: Meeta, Meeta Anuradha, M. Ashraf, Asna Beg et al.

Source: Journal of Mid-life Health. 2026 Suppl 1, Vol. 17, pS12-S116. 105p.

Ovarian-Adnexal Reporting and Data System Ultrasound v2022: From Origin to Everyday Use.

Authors: Phillips CH Patel-Lippmann K Huang J et al.

Source: Radiologic clinics of North America [Radiol Clin North Am] 2025 Jan; Vol. 63 (1), pp. 29-44. Date of Electronic Publication: 2024 Oct 03.

Publication Type: Journal Article; Review

Journal Info: Publisher: Saunders Country of Publication: United States NLM ID: 0123703 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1557-8275 (Electronic) Linking ISSN: 00338389 NLM ISO Abbreviation: Radiol Clin North Am Subsets: MEDLINE

Diagnostic performance of deep learning models on ultrasound images for distinguishing benign from malignant ovarian cysts.

Authors: Li W Xia Y Li Y et al.

Source: Journal of ovarian research [J Ovarian Res] 2026 Apr 15; Vol. 19 (1). Date of Electronic Publication: 2026 Apr 15.

Publication Type: Journal Article

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101474849 Publication Model: Electronic Cited Medium: Internet ISSN: 1757-2215 (Electronic) Linking ISSN: 17572215 NLM ISO Abbreviation: J Ovarian Res Subsets: MEDLINE

Investigation of multimodal deep learning models for predicting ovarian tumor malignancy based on ultrasound images and clinical information - a comprehensive comparative study against readers and O-RADS.

Authors: Lai L Chen C Zhou Y et al.

Source: BMC medical imaging [BMC Med Imaging] 2026 Apr 06; Vol. 26 (1). Date of Electronic Publication: 2026 Apr 06.

Publication Type: Journal Article; Comparative Study; Multicenter Study

Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 100968553 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2342 (Electronic) Linking ISSN: 14712342 NLM ISO Abbreviation: BMC Med Imaging Subsets: MEDLINE