Results 201 to 210 of about 2,874,490 (301)

Expression of Membrane Progesterone Receptors in Eutopic and Ectopic Endometrium of Women with Endometriosis. [PDF]

Biomed Res Int, 2020
Vázquez-Martínez ER, Bello-Alvarez C, Hermenegildo-Molina AL, Solís-Paredes M, Parra-Hernández S, Cruz-Orozco O, Silvestri-Tomassoni JR, Escobar-Ponce LF, Hernández-López LA, Reyes-Mayoral C, Olguín-Ortega A, Sánchez-Ramírez B, Osorio-Caballero M, García-Gómez E, Estrada-Gutierrez G, Cerbón M, Camacho-Arroyo I.   +16 more
europepmc   +1 more source

Association of Adjuvant Radiotherapy De‐Escalation With Outcomes Following Oncoplastic Breast‐Conserving Surgery

Journal of Surgical Oncology, EarlyView.
ABSTRACT Background Adjuvant radiotherapy (RT) following breast‐conserving surgery reduces local recurrence but can introduce reconstructive morbidity. Although recent trials support the safe omission of RT in selected patients, its impact on surgical and patient‐reported outcomes following oncoplastic breast‐conserving surgery (OPBCS) remains poorly ...
Abbas M. Hassan, Carson Park, Kathryn Borders, Rachel M. Danforth, Ravinder Bamba, R. Jason VonDerHaar, Ivan Hadad, Mary E. Lester, Carla S. Fisher, Aladdin H. Hassanein   +9 more
wiley   +1 more source

Pelvic Ultrasound for Predicting Endometrial Neoplasia in Premenopausal Abnormal Uterine Bleeding

Journal of Ultrasound in Medicine, EarlyView.
Objectives Although ultrasound is the first line imaging modality for abnormal uterine bleeding (AUB), there is a lack of consensus on its predictiveness for premenopausal endometrial pathology. This study aims to determine the predictiveness of pelvic ultrasound for endometrial neoplasia and cancer precursor lesions in premenopausal patients ...
Jessica Grubman, Delaina Bling, Haania Kakwan, Shubhangi Mehra, April Gorman, Alicia Kiszka, Diego H. Castrillon, Elysia Moschos   +7 more
wiley   +1 more source

Correlation of progesterone receptors and P63 to the histological grade of meningiomas: Review and significance in an African population. [PDF]

J Neurosci Rural Pract
Eluke CC, Aniume OI, Olusina BD, Okafor OC, Olasode BJ.   +4 more
europepmc   +1 more source

The Impact of Pregnancy on the Course of Vitiligo—A Systematic Review

JEADV Clinical Practice, EarlyView.
ABSTRACT Background Vitiligo is a chronic autoimmune skin disorder affecting an estimated 0.36% of the global population. Previous research indicated an interaction between pregnancy and autoimmunity disorders. However, evidence regarding the interaction between pregnancy and vitiligo is limited. A better understanding of the impact of pregnancy on the
Marlide R. Jukema, Eva Gianotten, Nerissa P. Denswil, Phyllis Spuls, Marcel Bekkenk, Albert Wolkerstorfer, Sanne Uitentuis   +6 more
wiley   +1 more source

Risk Factors Influencing Efficacy and Prognosis Evaluation of Neoadjuvant Systemic Therapy in Triple‐Positive Breast Cancer

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT To identify the determinants of the response to neoadjuvant systemic therapy (NST) in triple‐positive breast cancer (TPBC), we retrospectively enrolled 520 patients with human epidermal growth factor receptor 2 (HER2)‐positive breast cancer who were treated at The First Affiliated Hospital of Chongqing Medical University between January 2015 ...
Lin‐Rui Miao, Hao Liu, Hai‐Ying Yu, Jian Chen, Ming‐Yu Yang, Ya‐Lan Zhang, Gang Tu, Ling‐Feng Tang   +7 more
wiley   +1 more source

Development of a Nomogram‐Based Clinical Estimation Model for Pathological Upstaging in Patients With Preoperative Ductal Carcinoma In Situ

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT Preoperative diagnosis of ductal carcinoma in situ (DCIS) may be followed by pathological upstaging to invasive ductal carcinoma (IDC) upon surgical excision, a discrepancy that significantly impacts surgical planning and decisions regarding sentinel lymph node biopsy (SLNB).
Yu‐Hua Chen, Chung‐Liang Li, Ping‐Fu Yang, Hui‐Hua Hsiao, Fang‐Ming Chen, Sin‐Hua Moi   +5 more
wiley   +1 more source

Pretreatment Prediction of Tumor Recurrence in Breast Cancer After Neoadjuvant Systemic Therapy Using Machine Learning With Clinical and CT Radiomics Features

The Kaohsiung Journal of Medical Sciences, EarlyView.
ABSTRACT This study aimed to develop machine learning models for predicting tumor recurrence in breast cancer before neoadjuvant systemic therapy (NST) by integrating clinical and radiomic features derived from pretreatment computed tomography (CT).
Huei‐Yi Tsai, Jo‐Ching Wang, Wei‐Shiuan Chung, Jui‐Sheng Hsu, Shu‐Yen Lin, Ming‐Feng Hou, Ming‐Chung Chou   +6 more
wiley   +1 more source