Estimates of Breast Cancer Growth Rate From Mammograms and Its Relation to Tumour Characteristics

Förnvik, Daniel; Lång, Kristina; Andersson, Ingvar; Dustler, Magnus; Borgquist, Signe; Timberg, Pontus

doi:10.1093/rpd/ncv417

Cited by 32 publications

(40 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the contrary, TVDT was obviously different among patients with different age, axillary lymphatic metastasis, histological grade, and NPI score. Our findings agree with previous studies reporting that breast cancer patients with younger age, axillary lymphatic metastasis, high histological grade, and NPI score exhibited faster breast cancer cell growth [16,17]. Moreover, TVDT revealed significant differences in breast cancer with different ER, PR, Ki-67, and molecular subtyping.…”

Section: Discussionsupporting

confidence: 92%

“…As an index of lesion enlargement, TVDT allowed us to separate the poor outcomes associated with screening women [10]. Förnvik calculated the mean TVDT of breast cancer as 282 (46~749) days through mammography [16]. Eun Bi Ryu reported the average TVDT of breast cancer was 141 (46~825) days by two-dimensional ultrasound [17].…”

Section: Discussionmentioning

confidence: 99%

“…The former included the pathological type, tumor size, histological grade, and lymph node status from patients who accepted biopsy later. Nottingham prognostic index (NPI) was calculated according to the formula NPI=size (cm)×0.2 + lymph node staging (1~3) + histologic classification (1~3) [16]. The prognostic molecular indictors were ER, PR, HER2, and Ki-67.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Correlation Factors Analysis of Breast Cancer Tumor Volume Doubling Time Measured by 3D-Ultrasound

et al. 2017

View full text Add to dashboard Cite

BackgroundTumor volume doubling time (TVDT) is relatively important for breast cancer diagnosis and prognosis evaluation. This study aimed to analyze the related factors that may affect the TVDT of breast cancer by three-dimensional ultrasound (3D-US).Material/MethodsA total of 69 breast cancer patients were selected. 3D-US was applied to measure the volume of breast lumps diagnosed as BI-RADS-US 4A by conventional ultrasound. TVDT was calculated according to the formula TVDT=ΔT×log2/log(V2/V1). Multiple linear regression analysis was performed to analyze the factors influencing breast cancer TVDT.ResultsThe mean and median TVDT were 185±126 (range 66–521) and 164 days, respectively. TVDT showed no statistical significance according to regular shape, coarse margin, spicule sign, peripheral hyperechoic halo, microcalcification, and different posterior echo characteristics (P>0.05). Patients grouped by age, axillary lymphatic metastasis, histological differentiation, and Nottingham prognostic index (NPI) score exhibited significantly different TVDT (P<0.05). On the contrary, patients with different menstrual conditions, breast cancer family history, or pathological types presented similar TVDT (P>0.05). TVDT was obviously different in breast cancer with different ER, PR, Ki-67, and molecular subtyping but not HER2 expression. Multivariate analysis revealed that NPI score, axillary lymphatic metastasis, Ki-67, and molecular subtyping were risk factors of TVDT in breast cancer (P<0.05).ConclusionsBreast cancer TVDT was significantly correlated with NPI score, axillary lymphatic metastasis, Ki-67, and molecular subtyping. Triple-negative breast cancer exhibited the most rapid growth.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Correlation Factors Analysis of Breast Cancer Tumor Volume Doubling Time Measured by 3D-Ultrasound

et al. 2017

View full text Add to dashboard Cite

show abstract

“…Of note, we found a significant monotonic reduction in doubling time (i.e., faster growth) with worsening grade, which has not invariably been observed in the past [ 18 ]. Grade, as originally described by Elston and Ellis [ 19 ] is the summation of three components; the frequency of cell mitosis (mitotic score), the tubule formation score, and the nuclear pleomorphism score.…”

Section: Discussionmentioning

confidence: 50%

Radiological audit of interval breast cancers: Estimation of tumour growth rates

et al. 2020

View full text Add to dashboard Cite

Introduction This multicentre, retrospective study aimed to establish correlation between estimated tumour volume doubling times (TVDT) from a series of interval breast cancers with their clinicopathological features. The potential impact of delayed diagnosis on prognosis was also explored. Materials and methods Interval cancers, where screening mammograms demonstrated changes that were retrospectively classified as either uncertain or suspicious, were reviewed from five screening units within the UK NHS Breast Screening Programme (NHSBSP). Data collected included the time interval between screening mammogram and cancer diagnosis, the size of the initial mammographic abnormality and of the subsequent cancer, demographics, mammographic density and tumour biology. We estimated volume doubling times and the estimated change in size and node status, which would have followed if these cancers had been detected at the previous screen. Results 306 interval cancers meeting the inclusion criteria were identified. Average time from screening to diagnosis was 644 days (SD 276 days). 19% were diagnosed in the first twelve months, 42% in the subsequent twelve months and 39% thereafter. Overall average estimated TVDT was 167 days (95% CI 151–186). Significant differences were noted with age (p = 0.01), grade (p < 0.001) and ER status (p < 0.001) with women under 60, grade 3 cancers and ER negative cancers having shorter TVDTs. HER2 positive tumours had shorter doubling times than HER2 negative, but this difference was not statistically significant. It was estimated that diagnosing these cancers at the previous screen would have increased ten-year survival from 82% to 86%. Conclusion High grade, ER negativity and younger age were associated with shorter durations of TVDT. The role of HER2 status on interval cancer growth rate requires further assessment. It is likely that the delayed diagnosis of interval cancers confers a 4% reduction in ten-year survival.

show abstract

“…fast-growing invasive cancers do not exhibit mammographic features such as calcifications associated with cancer [35]. In addition, the short doubling time of grade 3 lesions [36] may lead to them growing and becoming clinically detectable between screens and thus increase the likelihood of presentation as interval cancers. The majority of grade 3 invasive cancers therefore appear without any prior warning even if there is a prior screen.…”

Section: Challenges With Detection Of Grade 3 Cancersmentioning

confidence: 99%

An analysis of screen-detected invasive cancers by grade in the English breast cancer screening programme: are we failing to detect sufficient small grade 3 cancers?

et al. 2020

View full text Add to dashboard Cite

Objective Randomised controlled trials have shown a reduction in breast cancer mortality from mammography screening and it is the detection of high-grade invasive cancers that is responsible for much of this effect. We determined the detection rates of invasive cancers by grade, size and type of screen and estimated relative sensitivities with emphasis on grade 3 detection. Methods This observational study analysed data from over 11 million screening episodes (67,681 invasive cancers) from the English NHS breast screening programme over seven screening years 2009/2010 to 2015/2016 for women aged 45–70. Results At prevalent (first) screens (which are unaffected by screening interval), the detection rate of small (< 15 mm) invasive cancers was 0.95 per 1000 for grade 1, but for grade 3 only 0.30 per 1000. The ratio of small (< 15 mm) to large (≥ 15 mm) cancers was 1.8:1 for grade 1 but reversed to 0.5:1 for grade 3. We estimated that the relative sensitivity for grade 3 invasive cancers was 52% of that for grade 1 and the relative sensitivity for small (< 15 mm) grade 3 only 26% of that for small (< 15 mm) grade 1 invasive cancers. Conclusions Sensitivity for small grade 3 invasive cancers is poor compared with that for grade 1 and 2 invasive cancers and larger grade 3 malignancies. This observation is likely a limitation of the current technology related to the absence of identifiable mammographic features for small high-grade cancers. Future work should focus on technologies and strategies to improve detection of these clinically most significant cancers. Key Points • The detection of small high-grade invasive cancers is vital to reduce breast cancer mortality. • We estimate the sensitivity for small grade 3 invasive cancers may be only 26% of that of small grade 1 invasive cancers. This is likely to be associated with the non-specific mammographic features for these cancers. • New technologies and appropriate strategies using current technology are required to maximise the detection of small grade 3 invasive cancers.

show abstract

Estimates of Breast Cancer Growth Rate From Mammograms and Its Relation to Tumour Characteristics

Cited by 32 publications

References 23 publications

Correlation Factors Analysis of Breast Cancer Tumor Volume Doubling Time Measured by 3D-Ultrasound

Correlation Factors Analysis of Breast Cancer Tumor Volume Doubling Time Measured by 3D-Ultrasound

Radiological audit of interval breast cancers: Estimation of tumour growth rates

An analysis of screen-detected invasive cancers by grade in the English breast cancer screening programme: are we failing to detect sufficient small grade 3 cancers?

Contact Info

Product

Resources

About