Vincenzo Marra

Monitoring Response to Primary Chemotherapy in Breast Cancer using Dynamic Contrast-enhanced Magnetic Resonance Imaging

AbstractPurpose. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) allows analysis of both tumor volume and contrast enhancement pattern using a single tool. We sought to investigate whether DCE-MRI could be used to predict histological response in patients undergoing primary chemotherapy (PCT) for breast cancer. Patients and methods. Thirty patients with breast cancer, clinical diameter >3 cm or stage III A/B, received anthracycline and taxane based PCT. DCE-MRI was performed at the baseline, after two cycles and after four cycles of PCT, before surgery. Histological response was assessed using a five-point scheme. Grade 4 (small cluster of dispersed residual cancer cells) and grade 5 (no residual viable cancer cell) were defined as a major histopathological response (MHR). Results. Univariate analysis showed that a >65% reduction in the tumor volume and a reduction in the early enhancement ratio (ECU) after two cycles of PCT were associated with a MHR. Multivariate analysis revealed that tumor volume reduction after two cycles of PCT was independently associated with a MHR (odds ratio [OR] 39.968, 95% confidence interval [CI] 3.438–464.962, p < 0.01). ECU reduction was still associated with a MHR (OR 2.50, 95% CI 0.263–23.775), but it did not retain statistical significance (p = 0.42). Combining tumor volume and ECU reduction after two cycles of PCT yielded a 93% diagnostic accuracy in identifying tumors achieving a pathological complete response (pCR) (histopathological grade 5). Conclusions. DCE-MRI allows prediction of the effect of neoadjuvant chemotherapy in breast cancer. Although in our study tumor volume reduction after two cycles had the strongest predictive value, DCE-MRI has the potential to provide functional parameters that could be integrated to optimize neoadjuvant chemotherapy strategies.

Breast Cancer: Computer-aided Detection with Digital Breast Tomosynthesis.

PURPOSE To evaluate a commercial tomosynthesis computer-aided detection (CAD) system in an independent, multicenter dataset. MATERIALS AND METHODS Diagnostic and screening tomosynthesis mammographic examinations (n = 175; cranial caudal and mediolateral oblique) were randomly selected from a previous institutional review board-approved trial. All subjects gave informed consent. Examinations were performed in three centers and included 123 patients, with 132 biopsy-proven screening-detected cancers, and 52 examinations with negative results at 1-year follow-up. One hundred eleven lesions were masses and/or microcalcifications (72 masses, 22 microcalcifications, 17 masses with microcalcifications) and 21 were architectural distortions. Lesions were annotated by radiologists who were aware of all available reports. CAD performance was assessed as per-lesion sensitivity and false-positive results per volume in patients with negative results. RESULTS Use of the CAD system showed per-lesion sensitivity of 89% (99 of 111; 95% confidence interval: 81%, 94%), with 2.7 ± 1.8 false-positive rate per view, 62 of 72 lesions detected were masses, 20 of 22 were microcalcification clusters, and 17 of 17 were masses with microcalcifications. Overall, 37 of 39 microcalcification clusters (95% sensitivity, 95% confidence interval: 81%, 99%) and 79 of 89 masses (89% sensitivity, 95% confidence interval: 80%, 94%) were detected with the CAD system. On average, 0.5 false-positive rate per view were microcalcification clusters, 2.1 were masses, and 0.1 were masses and microcalcifications. CONCLUSION A digital breast tomosynthesis CAD system can allow detection of a large percentage (89%, 99 of 111) of breast cancers manifesting as masses and microcalcification clusters, with an acceptable false-positive rate (2.7 per breast view). Further studies with larger datasets acquired with equipment from multiple vendors are needed to replicate the findings and to study the interaction of radiologists and CAD systems.

The impact of different communication and organizational strategies on mammography screening uptake in women aged 40-45 years.

BACKGROUND Several factors can influence access to population breast cancer screening. The aim of the study was to evaluate the impact of different information approaches, womens socio-demographic characteristics and organizational factors on mammography screening uptake. METHODS We selected 5744 women aged 40-45 years who were randomly assigned to be given letters with: (i) a pre-fixed appointment plus standard leaflet (Group 1); (ii) a pre-fixed appointment plus a more comprehensive booklet (Group 2); (iii) point (ii) plus the offer of a counselling session (Group 3); and (iv) an invitation to contact the centre to get information and arrange participation (Group 4). RESULTS Ninety-five women were excluded before the invitation and 5649 were randomized. After excluding undelivered letters (n = 41) and women reporting an exclusion criterion following our invitation (n = 248), the final eligible population was 5360 women. Participation rates following the first contact were 36.5, 39.9, 35.8 and 16.5% for Groups 1-4, respectively. The rates increased to 40.9, 43.6, 40.1 and 35.1% after the reminder letters. Women receiving more complete information had a higher uptake (Group 2), although not statistically significant. Differences among the four groups were maintained by controlling the effect of socio-demographic and attendance determinants. Regardless of intervention, participation was higher among married, higher educated, white-collared women, those born in northern Italy, living closer to the screening unit and with a female-collaborative doctor. CONCLUSION Invitation letters with a fixed appointment correlate with a higher attendance rate. Providing women with more information on procedures, risks and benefits of mammography screening does not modify their participation.