scholarly journals The Impact of COVID-19 Pandemic on Gynecological and Breast Cancer Detection Rate: A Tertiary Center Perspective.

2021 ◽  
Author(s):  
Katharina Knoll ◽  
Elisabeth Reiser ◽  
Katharina Leitner ◽  
Johanna Kögl ◽  
Christoph Ebner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Detection ◽  
Detection Rate ◽  
Cancer Detection Rate ◽  
Breast Cancer Detection ◽  
Newly Diagnosed ◽  
Breast Cancer Patients ◽  
Tertiary Center ◽  
The Impact

Abstract Purpose: The aim of the present study was to assess the impact of postponed screening examinations and lockdown measures on gynecological and breast cancer detection rate throughout the year 2020 in a gynecological oncological center in Austria.Methods: Data of 889 patients with either newly diagnosed gynecological or breast cancer between January 2019 and December 2020 were collected. Clinical parameters including symptoms, performance status, comorbidities and referral status were compared in patients, who were newly diagnosed with cancer in the period of the first lockdown from March 2020 – April 2020 and the second lockdown from November 2020 – December 2020 and compared to the same period in 2019.Results: Our results showed a strong decline in newly diagnosed cancers during the lockdown periods: -45% in gynecological cancer and -52% in breast cancer compared to the same period in 2019. Compared to the analogue period of 2019, breast cancer patients reported significantly more tumor-associated symptoms (55% versus 31%, p=0.013) during and in between (48% versus 32%, p=0.022) the lockdowns. During the lockdown periods breast cancer patients were diagnosed with a significantly higher tumor-stage (T2-T4; p=0.047).Conclusion: Both lockdowns led to a strong decrease in newly diagnosed gynecological and breast cancers. Treatment delays in potentially curable disease could lead to inferior clinical outcomes, with the risk of missing the optimal treatment window. As the COVID-19 pandemic will be a challenge for some time to come, new strategies in patient care are needed to optimize cancer screening and management during the pandemic.

Detection rate is not higher for women with BBD history in breast cancer screening

2019 ◽  
Author(s):  
Penghuan Qu ◽  
Xueou Liu ◽  
Yubei Huang ◽  
Ziwei Feng ◽  
Xin Wang ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Cancer Detection ◽  
Detection Rate ◽  
Breast Disease ◽  
Cancer Detection Rate ◽  
Breast Cancer Detection ◽  
Breast Cancer Patients ◽  
Contrast Analysis

Abstract Background To investigate whether women with benign breast disease (BBD) history have higher breast cancer detection rate in screening. Methods We reviewed data for 33 001 female participants in Multi-modality Independent Screening Trial (MIST). Corresponding data for 6823 breast cancer patients were retrieved from the Tianjin Breast Cancer Cases Cohort (TBCCC) and analyzed for comparison. Results The breast cancer detection rate was 2.83‰ among women with BBD history and 3.28‰ in women without. Moreover, the proportion of carcinoma in situ (CIS) was also lower in women with BBD history than women without (7.69 versus 20.31%). In contrast, analysis of TBCCC data revealed a higher proportion of CIS in patients with BBD history (5.05%) than patients without (3.26%). Our data showed that a larger proportion of women with BBD history had undergone previous breast examinations. Additionally, among participants diagnosed with both breast cancer and BBD in MIST, we found a lower proportion of CIS in women with BBD history (11.76%) compared to women without (32.14%). Conclusions Women with BBD history were not found to have higher detection rate in breast cancer screening. Women with BBD history were more likely to be proactive in seeking breast examinations and to have breast cancer be diagnosed in clinic.

scholarly journals The impact of COVID-19 pandemic on the rate of newly diagnosed gynecological and breast cancers: a tertiary center perspective

2021 ◽  
Author(s):  
Katharina Knoll ◽  
Elisabeth Reiser ◽  
Katharina Leitner ◽  
Johanna Kögl ◽  
Christoph Ebner ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Gynecological Cancer ◽  
Performance Status ◽  
Tumor Stage ◽  
Breast Cancers ◽  
Newly Diagnosed ◽  
Breast Cancer Patients ◽  
Tertiary Center ◽  
The Impact

Abstract Purpose The aim of the present study was to assess the impact of postponed screening examinations and lockdown measures on gynecological and breast cancer diagnoses throughout the year 2020 in a gynecological oncological center in Austria. Methods Data of 889 patients with either newly diagnosed gynecological or breast cancer between January 2019 and December 2020 were collected. Clinical parameters including symptoms, performance status, comorbidities and referral status were compared in patients, who were newly diagnosed with cancer in the period of the first lockdown from March 2020 to April 2020 and the second lockdown from November 2020 to December 2020 and compared to the same period in 2019. Results Our results showed a strong decline in newly diagnosed cancers during the lockdown periods: −45% in gynecological cancer and -52% in breast cancer compared to the same period in 2019. Compared to the analogue period of 2019, breast cancer patients reported significantly more tumor-associated symptoms (55% vs. 31%, p = 0.013) during and in between (48% vs. 32%, p = 0.022) the lockdowns. During the lockdown, periods in the group of breast cancer patients’ tumor stage varied significantly compared to 2019 (T2–T4; p = 0.047). Conclusion Both lockdowns led to a strong decrease in newly diagnosed gynecological and breast cancers. Treatment delays in potentially curable disease could lead to inferior clinical outcomes, with the risk of missing the optimal treatment window. As the COVID-19 pandemic will be a challenge for some time to come, new strategies in patient care are needed to optimize cancer screening and management during the pandemic.

Breast Cancer Detection Rate: Designing Imaging Trials to Demonstrate Improvements

Radiology ◽  
2007 ◽  
Vol 243 (2) ◽  
pp. 360-367 ◽  
Author(s):  
Yulei Jiang ◽  
Diana L. Miglioretti ◽  
Charles E. Metz ◽  
Robert A. Schmidt
Keyword(s):  
Breast Cancer ◽  
Cancer Detection ◽  
Detection Rate ◽  
Cancer Detection Rate ◽  
Breast Cancer Detection

scholarly journals Breast Cancer Detection from a Urine Sample by Dog Sniffing

2020 ◽  
Author(s):  
Shoko Kure ◽  
Shinya Iida ◽  
Marina Yamada ◽  
Hiroyuki Takei ◽  
Naoyuki Yamashita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Urine Samples ◽  
Malignant Diseases ◽  
Breast Cancer Patients ◽  
Double Blind ◽  
Blind Test ◽  
Detect Breast Cancer

Abstract Background: Breast cancer is a leading cause of cancer death worldwide. Several studies have demonstrated that dog can sniff and detect cancer in the breath or urine sample of a patient. Objective: The aim of this study is to assess whether the trained dog can detect breast cancer from urine samples.Methods: A nine-year-old female Labrador Retriever was trained to identify cancer from urine samples of breast cancer patients. Urine samples from patients histologically diagnosed with primary breast cancer, those with non-breast malignant diseases, and healthy volunteers were obtained, and a double-blind test was performed. Results: 40 patients with breast cancer, 142 patients with non-breast malignant diseases, and 18 healthy volunteers were enrolled, and their urine samples were collected. In 40 times out of 40 runs of a double-blind test, the trained dog could correctly identify urine samples of breast cancer patients. Sensitivity and specificity of this breast cancer detection method using dog sniffing were both 100%.Conclusions: The trained dog in this study could accurately detect breast cancer from urine samples of breast cancer patients. These results indicate the feasibility of a method to detect breast cancer from urine samples using dog sniffing in the diagnosis of breast cancer.

scholarly journals Breast Cancer Detection From a Urine Sample by Dog Sniffing

2020 ◽  
Author(s):  
Shoko Kure ◽  
Shinya Iida ◽  
Marina Yamada ◽  
Hiroyuki Takei ◽  
Naoyuki Yamashita ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Patients ◽  
Cancer Detection ◽  
Breast Cancer Detection ◽  
Urine Samples ◽  
Malignant Diseases ◽  
Breast Cancer Patients ◽  
Double Blind ◽  
Blind Test ◽  
Detect Breast Cancer

Abstract Background: Breast cancer is a leading cause of cancer death worldwide. Several studies have demonstrated that dog can sniff and detect cancer in the breath or urine sample of a patient. Objective: The aim of this study is to assess whether the trained dog can detect breast cancer from urine samples.Methods: A nine-year-old female Labrador Retriever was trained to identify cancer from urine samples of breast cancer patients. Urine samples from patients histologically diagnosed with primary breast cancer, those with non-breast malignant diseases, and healthy volunteers were obtained, and a double-blind test was performed. Results: 40 patients with breast cancer, 142 patients with non-breast malignant diseases, and 18 healthy volunteers were enrolled, and their urine samples were collected. In 40 times out of 40 runs of a double-blind test, the trained dog could correctly identify urine samples of breast cancer patients. Sensitivity and specificity of this breast cancer detection method using dog sniffing were both 100%.Conclusions: The trained dog in this study could accurately detect breast cancer from urine samples of breast cancer patients. These results indicate the feasibility of a method to detect breast cancer from urine samples using dog sniffing in the diagnosis of breast cancer.

Recruiting breast cancer patients for mHealth research: Obstacles to clinic-based recruitment for a mobile phone app intervention study

2020 ◽  
Vol 17 (6) ◽  
pp. 675-683
Author(s):  
Alisha Gupta ◽  
Gabrielle Ocker ◽  
Philip I Chow
Keyword(s):  
Breast Cancer ◽  
Mental Health ◽  
Pilot Study ◽  
Cancer Patients ◽  
Large Scale ◽  
Newly Diagnosed ◽  
Breast Cancer Patients ◽  
Pilot Studies ◽  
Staff Members ◽  
The Impact

Background Nearly half of newly diagnosed breast cancer patients will report clinically significant symptoms of depression and/or anxiety within the first year of diagnosis. Research on the trajectory of distress in cancer patients suggests that targeting patients early in the diagnostic pathway could be particularly impactful. Given the recent rise of smartphone adoption, apps are a convenient and accessible platform from which to deliver mental health support; however, little research has examined their potential impact among newly diagnosed cancer patients. One reason is likely due to the obstacles associated with in-clinic recruitment of newly diagnosed cancer patients for mHealth pilot studies. Methods This article draws from our experiences of a recently completed pilot study to test a suite of mental health apps in newly diagnosed breast cancer patients. Recruitment strategies included in-clinic pamphlets, flyers, and direct communication with clinicians. Surgical oncologists and research staff members approached eligible patients after a medical appointment. Research team members met with patients to provide informed consent and review the study schedule. Results Four domains of in-clinic recruitment challenges emerged: (a) coordination with clinic staff, (b) perceived burden among breast cancer patients, (c) limitations regarding the adoption and use of technology, and (d) availability of resources. Potential solutions are provided for each challenge. Conclusion Recruitment of newly diagnosed cancer patients is a major challenge to conducting mobile intervention studies for researchers on a pilot-study budget. To realize the impact of mobile interventions for the most vulnerable cancer patient populations, health researchers must address barriers to in-clinic recruitment to provide vital preliminary data in proposals of large-scale research projects.

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