TY - JOUR A1 - Stein, Roland Gregor A1 - Wollschläger, Daniel A1 - Kreienberg, Rolf A1 - Janni, Wolfgang A1 - Wischnewsky, Manfred A1 - Diessner, Joachim A1 - Stüber, Tanja A1 - Bartmann, Catharina A1 - Krockenberger, Mathias A1 - Wischhusen, Jörg A1 - Wöckel, Achim A1 - Blettner, Maria A1 - Schwentner, Lukas T1 - The impact of breast cancer biological subtyping on tumor size assessment by ultrasound and mammography - a retrospective multicenter cohort study of 6543 primary breast cancer patients JF - BMC Cancer N2 - Background Mammography and ultrasound are the gold standard imaging techniques for preoperative assessment and for monitoring the efficacy of neoadjuvant chemotherapy in breast cancer. Maximum accuracy in predicting pathological tumor size non-invasively is critical for individualized therapy and surgical planning. We therefore aimed to assess the accuracy of tumor size measurement by ultrasound and mammography in a multicentered health services research study. Methods We retrospectively analyzed data from 6543 patients with unifocal, unilateral primary breast cancer. The maximum tumor diameter was measured by ultrasound and/or mammographic imaging. All measurements were compared to final tumor diameter determined by postoperative histopathological examination. We compared the precision of each imaging method across different patient subgroups as well as the method-specific accuracy in each patient subgroup. Results Overall, the correlation with histology was 0.61 for mammography and 0.60 for ultrasound. Both correlations were higher in pT2 cancers than in pT1 and pT3. Ultrasound as well as mammography revealed a significantly higher correlation with histology in invasive ductal compared to lobular cancers (p < 0.01). For invasive lobular cancers, the mammography showed better correlation with histology than ultrasound (p = 0.01), whereas there was no such advantage for invasive ductal cancers. Ultrasound was significantly superior for HR negative cancers (p < 0.001). HER2/neu positive cancers were also more precisely assessed by ultrasound (p < 0.001). The size of HER2/neu negative cancers could be more accurately predicted by mammography (p < 0.001). Conclusion This multicentered health services research approach demonstrates that predicting tumor size by mammography and ultrasound provides accurate results. Biological tumor features do, however, affect the diagnostic precision. KW - histopathology KW - breast cancer KW - ultrasound KW - mammography KW - tumor size Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-161050 VL - 16 IS - 549 ER - TY - JOUR A1 - Diessner, Joachim A1 - Wischnewsky, Manfred A1 - Stüber, Tanja A1 - Stein, Roland A1 - Krockenberger, Mathias A1 - Häusler, Sebastian A1 - Janni, Wolfgang A1 - Kreienberg, Rolf A1 - Blettner, Maria A1 - Schwentner, Lukas A1 - Wöckel, Achim A1 - Bartmann, Catharina T1 - Evaluation of clinical parameters influencing the development of bone metastasis in breast cancer JF - BMC Cancer N2 - Background The development of metastases is a negative prognostic parameter for the clinical outcome of breast cancer. Bone constitutes the first site of distant metastases for many affected women. The purpose of this retrospective multicentre study was to evaluate if and how different variables such as primary tumour stage, biological and histological subtype, age at primary diagnosis, tumour size, the number of affected lymph nodes as well as grading influence the development of bone-only metastases. Methods This retrospective German multicentre study is based on the BRENDA collective and included 9625 patients with primary breast cancer recruited from 1992 to 2008. In this analysis, we investigated a subgroup of 226 patients with bone-only metastases. Association between bone-only relapse and clinico-pathological risk factors was assessed in multivariate models using the tree-building algorithms “exhausted CHAID (Chi-square Automatic Interaction Detectors)” and CART(Classification and Regression Tree), as well as radial basis function networks (RBF-net), feedforward multilayer perceptron networks (MLP) and logistic regression. Results Multivariate analysis demonstrated that breast cancer subtypes have the strongest influence on the development of bone-only metastases (χ2 = 28). 29.9 % of patients with luminal A or luminal B (ABC-patients) and 11.4 % with triple negative BC (TNBC) or HER2-overexpressing tumours had bone-only metastases (p < 0.001). Five different mathematical models confirmed this correlation. The second important risk factor is the age at primary diagnosis. Moreover, BC subcategories influence the overall survival from date of metastatic disease of patients with bone-only metastases. Patients with bone-only metastases and TNBC (p < 0.001; HR = 7.47 (95 % CI: 3.52–15.87) or HER2 overexpressing BC (p = 0.007; HR = 3.04 (95 % CI: 1.36–6.80) have the worst outcome compared to patients with luminal A or luminal B tumours and bone-only metastases. Conclusion The bottom line of different mathematical models is the prior importance of subcategories of breast cancer and the age at primary diagnosis for the appearance of osseous metastases. The primary tumour stage, histological subtype, tumour size, the number of affected lymph nodes, grading and NPI seem to have only a minor influence on the development of bone-only metastases. KW - BRENDA KW - breast cancer KW - bone metastases KW - skeleton KW - breast cancer subtypes Y1 - 2016 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-161173 VL - 16 IS - 307 ER - TY - JOUR A1 - Herbert, Saskia-Laureen A1 - Hirzle, Paula A1 - Bartmann, Catharina A1 - Schlaiß, Tanja A1 - Kiesel, Matthias A1 - Curtaz, Carolin A1 - Löb, Sanja A1 - Wöckel, Achim A1 - Diessner, Joachim T1 - Optimized process quality in certified breast centers through adherence to stringent diagnostic and therapeutic algorithms effects of structural as well as socio-demographic factors on start of therapy JF - Archives of Gynecology and Obstetrics N2 - Purpose An increasing incidence of breast cancer can be observed worldwide. Since a delay of therapy can have a negative impact on prognosis, timely cancer care is an important quality indicator. By receiving treatment at a certified breast cancer center, the patient has the best chance of treatment in accordance with guidelines and the best prognosis. The identification of risk factors for a delay of therapy is of central importance and should be the basis for a continuous optimization of treatment at breast cancer centers. Methods This retrospective study included women with breast cancer (primary diagnosis, relapse, or secondary malignancy) at the University Hospital Würzburg in 2019 and 2020. Data were retrieved from patients’ records. Correlations and regression analyses were performed to detect potential risk factors for treatment delay. Results Patients who received the histological confirmation of breast cancer at an external institution experienced a later therapy start than those patients who received the histological confirmation at the University Hospital Würzburg itself. (35.7 vs. 32.2 days). The interval between histological confirmation and the first consultation at the University Hospital Würzburg correlated statistically significant with age, distress and distance to the hospital. Conclusion Patients with an in-house diagnosis of breast cancer are treated more quickly than those whose diagnosis was confirmed in an external institution. We identified factors such as increased age, greater distance to the hospital as well as increased distress to prolong the time until start of oncological treatment. Intensified patient care should be offered to these subgroups. KW - breast cancer KW - delay of therapy KW - prognosis KW - quality of care Y1 - 2023 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-324057 VL - 307 IS - 4 ER -