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3. Factors affecting complete response to neoadjuvant chemotherapy in triple negative breast cancer patients.

Author

KAYA, Ahmet, KOÇER, Havva Belma, and AKDENİZ, Yeşim

Subjects
NEOADJUVANT chemotherapy, TRIPLE-negative breast cancer, BREAST cancer patients, PATHOLOGY, HEALTH outcome assessment
Abstract

Copyright of Medical Journal of Ankara Training & Research Hospital is the property of Medical Journal of Ankara Training & Research Hospital and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Published
2023
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4. Age and frailty are independently associated with increased covid-19 mortality and increased care needs in survivors: results of an international multi-centre study

Author

Alsahab, Mustafa, Beishon, Lucy, Brown, Bryony, Burn, Elinor, Burton, Jenni K, Cox, Natalie, Dani, Melanie, Elhadi, Muhammed, Freshwater, Sarah, Gaunt, Victoria, Gordon, Adam, Goujon, Marie, Hale, Matthew, Hughes, Terry, Jackson, Thomas A, Jelley, Benjamin, Khan, Asma, Khiroya, Heena, Lal, Rajni, Madden, Katy, Magill, Laura, Masoli, Jane, Masud, Tahir, McCluskey, Lauren, McNeela, Natalie, Mohammedseid-Nurhussien, Awolkhier, Moorey, Hannah, Lochlainn, Mary Ni, Nirantharakumar, Krishnarajah, Okoth, Kelvin, Osuafor, Christopher N, Patterson, Katherine, Pearson, Grace M E, Perry, Rita, Pettitt, Michala, Pigott, Jennifer, Pinkney, Thomas, Quinn, Terence, Reynolds, Abigail, Richardson, Sarah, Sanyal, Nik, Seed, Adam, Sleeman, Isobel, Soo, Chee, Steves, Claire, Strain, W David, Taylor, Joanne, Torsney, Kelli, Welch, Carly, Wilson, Daisy, Witham, Miles, Elazeem, Hossam Aldein S Abd, Abdelhafez, Mohammed H, Abdelmalak, Amir, Abdelwahab, Omar A, Abdulhadi, Osama M A S, Adewole, Olubayode, Ahmad, Mohammed, Ahmed, Eltayeb A, Ahmed, Hazem, Ahmed, Islam A, Akcay, Mertcan, Akdeniz, Yeşim, Akın, Emrah, Akladious, Carolyn, Alessandri, Francesco, Ali, Ali, Aljafari, Abdulmalek, Aljafari, Abdulmoiz, Al-Sadawi, Mohammed, Al-Sodani, Lobna, Altintoprak, Fatih, Amaratungaz, Gitanjali, Amer, Jocelyn, Amini, Sylvia, Amir, Taha, Anandarajah, Cheran, Anders, Rachael, Ansari, Muhammed H, Appiah, Kingsley, Atia, Jolene, Atkin, Catherine, Aujayeb, Avinash, Awad, Elsayed M, Azab, Mohammed A, Azam, Mohammad T, Aziz, Sally, Azzam, Ahmed Y, Babar, Laxmi, Babb, Laura, Badh, Manpreet, Baguneid, Clare, Bailey, Emily, Baili, Efstratia, Baldwin, Sarah, Baloyiannis, Ioannis, Bannerjee, Moulinath, Barnard, Anna, Barra, Fabio, Bashir, Hannah, Bawor, Monica, Bayhan, Zülfü, Belcher, James, Belgamwar, Ravindra, Bentley, Corrina, Birchenough, Amy, Bo, Yen Nee J, Boden, Hayley R, Bouhuwaish, Ahmad, Brachini, Gioia, Bremner, Laura, Bridgwater, Hannah, Bryant, Catherine, Budd, Gabrielle, Budd, Sharon, Budzikoski, Adam, Bulla, Reem, Buondonno, Antonio, Burden, Nicole, Butt, Hejab, Capoglu, Recayi, Caracostea, Andra, Cardoso, Rifa, Carr, Alexis, Carrasco-Prats, Milagros, Cattel, Caterina, Ceccarelli, Giancarlo, Cecere, Giuseppe, Charalabopoulos, Alexandros, Charsley, Evelyn, Cheney-Lowe, Hannah, Chevallier, Theodore, Choudhry, Asad J, Ciccarone, Flavia, Cicerchia, Pierfranco M, Cirillo, Bruno, Collins, Fatma D, Comerford, Victoria, Cordie, Ahmed, Coulter, Siobhan, Coulthard, Nick, Cox, Catrin, Cox, Victoria, Crowe, Andrew, Cullen, Jack, Cummings, Jean, Cunningham, Niamh, Curley, Daniel, Currie, Hannah, Daly, Madeleine, Darley, Jay, Dattani, Nikhita, Davakis, Spyridon, Davies, Rowan, De Paola, Gilda, De Toma, Giorgio, Del Valle-Ruiz, Sergio, Deldar, Benyamin, Demir, Hakan, Desai, Arjun, Desai, Nirali, Devaney, Alice, Dew, Lindsey, Dhesi, Jugdeep, Dias, Maria, Dick, Gordon, Doddamani, Parveen, Dogra, Gurinder, Doll, Tina, Dooley, Hannah C, Dost, Samiullah, Dotchin, Catherine, Dowell, Hannah, Draghita, Ioan M, Dundas, James M, Duranti, Giulia, Dusara, Hiren, Dwivedi, Rajesh, Dyer, Adam H, Eastaugh, Alison, Edwards, Elinor, Elghazaly, Shrouk M, Elmehrath, Ahmed O, Elrick, Hope, El-Shazly, Mostafa, Emery, Alexander, Etchill, Eric W, Evans, Sarah, Evison, Felicity, Fairhead, Cassandra, Faulkner, Margherita, Felska, Agnieszka, Fernandez, Antia, Fernández-Fernández, Pedro V, Ferraiolo, Antonella, Ferrero, Simone, Fiori, Enrico, Firat, Necattin, Fisk, Gracie, Fleck, Anna, Fonsi, Giovanni B, Gabre-Kidan, Alodia, Gallo, Gaetano, Gandhi, Ratnam, Garner, Madeleine, Georgiou, Nikolaos, Gerretsen, Hannah, Ghannam, Nourhan A A, Ghobrial, Andrew, Ghobrial, Hedra, Ghufoor, Zaynub, Gibbon, Jake, Gilbert, Georgia F, Giles, Marie, Giménez-Francés, Clara, Gonullu, Emre, Gray, Amy, Gray, Joshua H, Green, Deirdre, Greene, Charlotte, Griffin, Ellanna, Griffith, Karla, Grubb, Anthony, Guan, Yue, Guerero, Daniel N, Gupta, Ayushi, Gustavino, Claudio, Guzman, Laurenny, Hadreiez, Ahmed K M, Hajiioannou, Jiannis, Hanji, Deevia, Madhavan, Deepthy Hari, Harmantepe, Tarık, Harrison, Patrick, Hart, Barbara, Haslam, Aidan, Haunton, Victoria, Haut, Elliott R, Heinsohn, Torben, Hennah, Lindsay, Hetta, Helal F, Hickman, Alexander, Hobill, Abigail, Hogan, Patrick C P, Hogan, Vesna, Holmes, Elizabeth, Honney, Katie, Hood, Katharine, Hopkinson, Katherine, Howells, Lara, Hrouda, Nicole, Hunsley, Danielle, Hurst, William, Hussein, Rand A, Ibrahim, Mohamed Eltaher A A, Ibtida, Ishmam, Ibukunoluwakitan, Aina, Ishlek, Irem, Iyer, Rishi, Jackson, Karl, Jackson, Rosie, James, Ellen, Jarvis, Hayley, Jeffs, Sophie, Jenko, Nathan, Jeyakumar, Sasha, Kabir, Shahriar, Kainth, Harjinder, Kalloo, Jason, Kanzaria, Akhil, Karapanou, Amalia, Kardaman, Nuha, Karthikeyan, Sandeep, Karunatilleke, Anne, Kelly, Mairead, Kelly, Nicola I, Khalid, Hesham, Khan, Haris, Khan, Muhammad S, King, Matthew, Kneen, Thomas, Kok, Li, Kratochwila, Chiara, Kuzeva, Aneliya, Lapolla, Pierfrancesco, Lau, Rebecca, Law, Kar Yee, Leadbetter, Aimee, Lee, Gabriel, Lee, Helena, Levinson, Gavriella, Lewis, Grace, Liakakos, Theodore, Lim, Stephen, Lis, Danielle, Livesey, Emma, López-Morales, Pedro, Lowes, Lily, Lunt, Eleanor, Lyon, Emily, Madan, Suvira, Majid, Zeinab, Malapati, Harsha, Man, Jade, Mandane, Baguiasri, Manning, Sarah H, Mantoglu, Baris, Martínez-Sanz, Nuria, Marx, William, Masood, Almontacer E B, Maughan, Tom, Mawhinney, Jamie, Maxfield, Dominic, Mayer, Jordan, Maynard, Henry, McDonald, Claire, McGovern, Aine, Mclachlan, Sophie, Medina-Manuel, Esther, Meneghini, Simona, Metcalf, Michelle, Millwood-Hargrave, John, Mingoli, Andrea, Miu, Kelvin, Mohamed, Fawsiya, Mohamed, Soha M, Hussein, Aliae A R Mohamed, Mohammad, Abdulkader, Mohammed, Aaliya, Momen, Ahmed A, Moomo, Farhana, Mora-Guzmán, Ismael, Moriarty, Lizzie, Morrin, Hamilton, Morris, Claire, Moss, Nicholas, Moustafa, Mohamed M, Mpoura, Maria, Mubin, Mohammed, Muhtaroglu, Ali, Muir, Georgina, Mulhern, Stephanie, Muller, Daniel, Murphy, Declan C, Muzammil, Bushra, Nadkarni, Varun, Nageh, Mariam Albatoul, NasrEldin, Yasmin K, Nawaz, Wasim, Nguyen, Hanna, Cheallaigh, Cliona Ni, Noar, Alexander, North, Samuel, Nwolu, Favour, O’Docherty, Alice, Odutola, Omoteniola, O’Dwyer, Sinead, Ogochukwu, Olebu, O’Mahony, Catherine, Orlando, Lia, Osterdahl, Marc, Page, Christina, Panayotidis, Ismini, Pancholi, Shivam, Parkin, Jessica, Passby, Lauren C, Pastor-Pérez, Patricia, Patel, Harnish, Patel, Shefali, Penfold, Rose, Perinpanathan, Rupini, Perivoliotis, Konstantinos, Perra, Teresa, Pinkney, Martha, Pinotti, Enrico, Porcu, Alberto, Price, Angeline, Pugliese, Francesco, Puri, Prabhleen, Pytraczyk, Sylvia, Qaiser, Yusra, Qurashi, Maria, Radenkovic, Dina, Rajeswaran, Thurkka, Rapaport, Sarah F, Razzak, Tahmina, Reilly, Lara, Reynolds, Paul, Richardson, Alexandra, Roberts, Amelia, Roberts-Rhodes, Charlotte, Robinson, Tanya, Rocca, Aldo, Ross-Skinner, Emily, Ruiz-Marín, Miguel, Ryall, Rebecca, Saad, Alshaimaa M, Saad, Mahmoud M, Sadiq, Ambreen, Sammarco, Giuseppe, Sampanis, Michail A, Sanghvi, Hazel, Sapienza, Paolo, Sayers, Ross, Scott, Luca, Sen, Michael, Shaban, Mosab A A, Shakespeare, Kathleen T, Shaw, Ellie, Shaw, Hannah, Sheldrake, Jonathan, Sim, Sing Yang, Simonelli, Luigi, Sipsas, Nikolaos V, Sivam, Jarita, Sivarajan, Sri, Smith, Jennifer, Speranza, Fabio, Spice, Claire, Stafford, Amanda, Stambollouian, Katharine, Stevens, Kent A, Stewart, Jack, Stratton, Emma, Street, Hannah, Surtees, Michael, Swinnerton, Emma, Taher, Ahmed S A, Tait, Caroline, Taylor, Amybel, Thake, Miriam, Thin, Katie, Thould, Hannah, Thyn, Thyn, To, Benjaman, Tobiss, Hannah, Toppley, Kathryn, Townsend, Liam, Tullo, Ellen, Tzovaras, George, Umeadi, Anthony, Vaidya, Hrisheekesh, Valero-Soriano, María, Varden, Rosanna, Vergani, Vittoria, Vervoort, Dominique, Vescio, Giuseppina, Vettasseri, Mark, Virk, Madiha, Vyas, Vaishali, Wagland, Joanne, Wallis, Stephanie, Warner, Chloe, Watkins, Eleanor, Watson, Hannah, Webb, Rachael, Welsh, Sarah H, West, Ruth, Whelan, Elisha, Whitney, Julie, Whitsey, Mark, Wilcock, Catherine, Wilkinson, Iain, Williams, David, Williamson, Megan, Willott, Ruth H, Wimalasundera, Mettha, Win, Yu Lelt, Winter, Laura, Worrall, Stephanie, Wright, Rebecca, Yeo, Natalie, Yeung, Eirene, Yigit, Merve, Yildiz, Yasin A, Yusuf, Humza, Zambon, Martina, Zaw, Hein, and Elabedeen, Omar Zein

Subjects
Male, Aging, medicine.medical_specialty, Frail Elderly, COVID-19, delirium, frailty, mortality, transitions of care, Cohort Studies, AcademicSubjects/MED00280, Interquartile range, Internal medicine, medicine, Dementia, Humans, Survivors, Aged, Proportional hazards model, business.industry, SARS-CoV-2, Hazard ratio, Odds ratio, General Medicine, medicine.disease, Confidence interval, frailty,COVID-19, Ageing, Delirium, Female, medicine.symptom, Geriatrics and Gerontology, business, Cohort study, Research Paper
Abstract

Introduction Increased mortality has been demonstrated in older adults with coronavirus disease 2019 (COVID-19), but the effect of frailty has been unclear. Methods This multi-centre cohort study involved patients aged 18 years and older hospitalised with COVID-19, using routinely collected data. We used Cox regression analysis to assess the impact of age, frailty and delirium on the risk of inpatient mortality, adjusting for sex, illness severity, inflammation and co-morbidities. We used ordinal logistic regression analysis to assess the impact of age, Clinical Frailty Scale (CFS) and delirium on risk of increased care requirements on discharge, adjusting for the same variables. Results Data from 5,711 patients from 55 hospitals in 12 countries were included (median age 74, interquartile range [IQR] 54–83; 55.2% male). The risk of death increased independently with increasing age (>80 versus 18–49: hazard ratio [HR] 3.57, confidence interval [CI] 2.54–5.02), frailty (CFS 8 versus 1–3: HR 3.03, CI 2.29–4.00) inflammation, renal disease, cardiovascular disease and cancer, but not delirium. Age, frailty (CFS 7 versus 1–3: odds ratio 7.00, CI 5.27–9.32), delirium, dementia and mental health diagnoses were all associated with increased risk of higher care needs on discharge. The likelihood of adverse outcomes increased across all grades of CFS from 4 to 9. Conclusion Age and frailty are independently associated with adverse outcomes in COVID-19. Risk of increased care needs was also increased in survivors of COVID-19 with frailty or older age.

Published
2021

5. Obstruksiyona neden olmuş kolorektal kanserli yaşlı hastalarda acil cerrahi sonuçları: Tek merkez deneyimi

Author

DİKİCİER, Enis, KAMBUROĞLU, Muhammed, GÖNÜLLÜ, Emre, AKDENİZ, Yeşim, ÖZDEMİR, Kayhan, MANTOĞLU, Barış, KOÇER, Havva, and ÇELEBİ, Fehmi

Subjects
kolorektal kanser,yaşlı,acil cerrahi,kalınbarsak tıkanıklığı, Medicine, colorectal cancer,elderly,emergency surgery,large bowel obstruction, Tıp
Abstract

Aim: Colorectal cancer is the most common cause of large bowel ob-struction in elderly. The aim of this study is to compare the clinical findings and perioperative outcomes of elder and younger colorectal cancer patients who were urgently operated for obstruction in our de-partment. Material and Method: The files of patients who underwent emergency surgery for acute mechanical bowel obstruction due to colorectal cancer between January 2015 and December 2019 at the Sakarya University School of Medicine, Department of General Surgery were retrospective-ly reviewed. Results: A total of 187 patients who had emergency operation due to colorectal cancer-related obstruction in a 5-year period were included. 55.6% (n = 104) were over the age of 65, 46.4% (n = 83) were under the age of 65. ASA scores, tumor localization, and mean total hospital stay, duration of intensive care were statistically different between the two groups (p, Amaç: Kolorektal kanserler, yaşlılarda kalın bağırsak tıkanıklığının en yaygın nedenidir. Bu çalışmanın amacı, bölümümüzde acil olarak ob-strüksiyon nedeniyle ameliyat edilen yaşlı ve genç kolorektal kanserli hastaların klinik bulgularını ve perioperatif sonuçlarını karşılaştırmaktır.Gereç ve Yöntem: Sakarya Üniversitesi Tıp Fakültesi Genel Cerrahi Anabilim Dalı'nda Ocak 2015-Aralık 2019 tarihleri arasında kolorektal kansere bağlı akut mekanik barsak tıkanıklığı nedeniyle acil ameliyat edilen hastaların dosyaları retrospektif olarak incelendi. Bulgular: 5 yıllık sürede kolorektal kansere bağlı tıkanıklık nedeniyle acil ameliyat olmuş toplam 187 hasta dahil edildi. % 55,6'sı (n = 104) 65 yaş üzerinde,% 46,4'ü (n = 83) 65 yaşın altındaydı. ASA skorları, tümör lokalizasyonu ve ortalama toplam hastanede kalış süresi, yoğun bakım süresi iki grup arasında istatistiksel olarak farklıydı (p

Published
2020

8. İnsan kaynakları yönetiminde personel seçme ve yerleştirme: Sigorta sektöründe alan çalışması

Author

Akdeniz, Yeşim, Gümüş, Sefer, and İşletme Yönetimi Ana Bilim Dalı

Subjects
Insurance, Human resources management, İşletme, Recruitment, Çalışma Ekonomisi ve Endüstri İlişkileri, Labour Economics and Industrial Relations, Insurance sector, Business Administration, Management, Personnel selection
Abstract

Rekabetin arttığı ve teknolojik gelişmelerin hızlı bir şekilde yaşandığı günümüzde, işletmeler de ayakta kalabilmek için değişim geçirmek zorundadırlar. Özelikle çalışanlarla ilişkileri düzenleyen insan kaynakları yönetimi üzerinde çok ciddi durulması gereken bir birim olmuştur.İnsan kaynakları yönetiminin en önemli fonksiyonu olan seçme ve yerleştirme kısaca işletmelerin devamlılığını sağlayan fonksiyon olarak adlandırılabilir. İşletmeye ve işe uygun insan kaynaklarına ulaşmak için seçme fonksiyonunun etkili bir şekilde kullanılması gerekmektedir. Bunun için işe alım sürecinde tüm yenilikler ve gelişmeler dikkatlice takip edilmelidir. Tüm süreçlerin üzerinde titizlikle durulmalı, doğru işe doğru insan mantığıyla yanlış tercihler yapılması önlenmelidir.Bu çalışmanın amacı, personel seçme ve yerleştirmenin tüm detaylarını açıklamak ayrıca sigorta sektörünü ve bu sektördeki seçme ve yerleştirme süreçlerini anlatmak ve öneriler geliştirmektir.Anahtar Kelimeler: İnsan Kaynakları yönetimi, Personel Seçme ve Yerleştirme, Sigorta Sektörü Enterprise should make changes to survive in these days which competition and technoligical developments increase quickly. Espacially human resoures management has become an important unit which organizes relationships among workers.Selection and placement process which is the most impoartant function of human resoures management can be shortly named as function of supplying continuity of enterprise. Function of selection should be effectively used to reach human resources for enterprise and work. Because of this all developments and reforms should be followed carefully in area of employement procedure. All the processes should be elaborated attentiuely, wrong choices should be premented with rationale of right person for right work.The aim of this study is to explain all the details employer selection and placement, also insurance sector and selection and placement processes in this sector and development suggestions.Key words: human resoures management, employer selection and placement, insurance sector 178

Published
2010

9. Predictive Factors for Axillary-Only and Breast-Only Pathological Complete Response after Neoadjuvant Chemoterapy.

Author

Peduk, Şevki, Akdeniz, Yeşim, and Koçer, Belma

Subjects
*BREAST cancer treatment, *NEOADJUVANT chemotherapy, *BREAST cancer patients, *BREAST cancer surgery, *LOGISTIC regression analysis
Abstract

Objective: Pathologic complete response (pCR) is a surrogate endpoint for prognosis after neoadjuvant chemotherapy (NACT) for breast cancer. The present study aimed to identify the predictive factors of an axillary pathological complete response (Ax-pCR) and breast pathological complete response (Br-pCR) in patients who underwent neoadjuvant chemotherapy (NACT) and identification of the differences of predictive factors effecting complete response. Materials and Methods: From February 2014 to June 2019, 508 women with breast cancer treated in our clinic and the present study included 207 (40.7%) patients who underwent NACT followed by curative surgery. We collected data on demographics, tumor characteristics including histology and subtype, axillary status, and treatment effect details. The predictive factors of Ax-pCR and Br-pCR were analyzed using a chi-square test and multivariate logistic regression models. Results: Mean age is 50.8 (24-82) and mean diameter of tumor is 34.9mm (20-220mm). Majority of patients (91.7%) have axillary lymphadenopathy (cN+) before NACT. Seventy five patients (39.47%) had Ax-pCR and 50 patients (24.1%) had Br-pCR. We achieved pathologic complete response (breast and axillary) on 42 (19.8%) patients. Age is not a predictive factor on Br-pCR and Ax-pCR. As expected, Ki67 status correlated with pCR. From 41 of 50 patients which has Br-pCR have no metastatic lypmph node on specimen (p<0.01). Together with this 37 of 75 Ax-pCR patiens have Br-pCR (49.3%) that shows that the correlation between Ax-pCR and Br-pCR. We achieved Br-pCR on T1 tumors easily (p=0.05) but we couldnt feel the advantage of this on Ax-pCR (p=0.9). Among cN+ participants The rates of ypN0 in patients with hormone receptor positive (HR+)/HER2-, HR+/HER2+, HR-/HER2+, and triple-negative (TN) breast cancer were 23.9% (21/88), 40.4% (19/47), 64% (16/25), and 67.9% (19/28), respectively (p<0.001). Molecular subtypes, clinical stage and pathologic complete response of the breast tumor (Br-pCR) correlated with ypN0 after full-course NACT (p<0.05). Highest benefit group from NACT are triple negative tumors. Despite Luminal A tumors are the lowest ratio of pCR (8.4%) we achieved 24% Ax-pCR. We realized that Luminal status have more influence on Ax-pCR (p<0.01) than Br-pCR (p=0.02). Extracapsular lymph node invasion on pathologic specimen also predictive factor for Br-pCR (OR=0.285 p=0.04) Conclusion: Factors effecting on Ax-pCR and Br-pCR are similar except cT status. NACT's 24% Ax-pCR success on Luminal A tumors offers an alternative to avoid axillary surgery. At the same time detecting extracapsular lymph node invasion on preoperative ultrasonographic imaging may helpful to decide which patients will benefit less from NACT. [ABSTRACT FROM AUTHOR]

Published
2019

10. The Role of MRI in the Evaluation of Treatment-Response in Breast Cancer Patients Receiving Neoadjuvant Chemotherapy.

Author

İlgöz, Musa, Gündüz, Yasemin, Biricik, Aytaç, Akdeniz, Yeşim, and Koçer, Belma

Subjects
BREAST cancer magnetic resonance imaging, NEOADJUVANT chemotherapy, BREAST cancer treatment, BREAST cancer patients, CANCER invasiveness
Abstract

Objective: The necessity of neoadjuvant chemotherapy (NAC) is indisputably important in the management of invasive breast cancer patients. NAC can provide operability in patients with locally advanced breast cancer, eliminate the need for axillary dissection in patients with axillary metastasis, and allow breast-conserving surgery (BCS) in patients with large tumor size. In the determination of these patients; MRI has an important role in the evaluation of tumor diameter, localization and tumor number, depth of invasion and lymph node (LN) metastasis. In this study; the extent to which MR imaging can predict the pathological response in the evaluation of regression in primary tumor and axillary LN metastasis in breast cancer patients receiving NAC. Material and Methods: The data of 89 patients with breast cancer who received NAK between January 2014 and July 2019 were retrospectively reviewed. The RECIST criteria obtained by evaluating the MR images of the patients receiving NAC before and after neoadjuvant treatment were compared with the Miller and Payne grading system used to evaluate pathological regression. RECIST criteria were evaluated by a single radiologist. Results: The mean age of the patients was 48.5y, and 62% of the patients had axillary FNAB before NAC. While the mean tumor size before NAC was 36.4 mm, the mean size after NAC decreased to 13.8 mm. pCR and rCR ratios were compared according to the receptor status of the patients. Complete response rates were higher in HER2 and Triple negative tumors. The patients with pCR and rCR were compared and PPD was 78.1% and NPD was 94.7. It can be said that MR imaging is more successful in the evaluation of LN regression among subtypes after NAC, especially in patients with Luminal A and HER 2 groups. Conclusion: MR imaging has an important role in staging and treatment priority in breast cancer patients. In our study, we observed that MRI detected tumor size in 78% of patients with pCR and 94% in patients without pathological complete response, and also showed a high accuracy rate in axillary regression, especially in Luminal A and HER 2 patients. [ABSTRACT FROM AUTHOR]

Published
2019

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