Multiple foreign body granulomas after mastectomy with intraoperative application of tissue adhesive vs. surgical drainage - sonographic finding.

PURPOSE: The use of tissue adhesive instead of a drain following mastectomy was a point of interest for many breast surgeons. Postoperative formation of multiple unusual sonographic lesions was observed in patients that underwent mastectomy with TissuGlu. The aim of this study was to describe the sonographic features of these lesions and, when possible, to examine them histologically. MATERIALS AND METHODS: This study includes 98 patients, 49 underwent mastectomy with the application of TissuGlu and 49 with drain insertion. Unusual postoperative sonographic findings were thoroughly described. A histological examination was carried out according to the guideline recommendations. RESULTS: Unusual sonographic findings were detected in 87.8% of patients in the TissuGlu group and in only 4% of the patients in the drain group. These lesions were detectable between 6 and 59 months postoperatively. 47 breasts of the TissuGlu group were classified as category 3, while only 2 breasts as category 4. Lesions were on average 7.5 mm in diameter, echogenic or isoechoic with posterior shadowing, an irregular and ill circumscribed marginal contour, and a horizontal axis. All histologically examined lesions (n=29) were benign. Granulomatous tissue was histologically proven in 63% of those lesions (n=17), while residual adhesive material could be detected in 18.5% of lesions (n=5). CONCLUSION: The use of TissuGlu adhesive after mastectomy may cause the formation of unusual palpable granulomas, with or without residual adhesive materials. Sonographic description of lesions will help physicians to differentiate between granulomas and local relapse.

Accuracy of endometrial sampling in the diagnosis of endometrial cancer: a multicenter retrospective analysis of the JAGO-NOGGO.

BACKGROUND: Accurate preoperative molecular and histological risk stratification is essential for effective treatment planning in endometrial cancer. However, inconsistencies between pre- and postoperative tumor histology have been reported in previous studies. To address this issue and identify risk factors related to inaccurate histologic diagnosis after preoperative endometrial evaluation, we conducted this retrospective analysis. METHODS: We conducted a retrospective analysis involving 375 patients treated for primary endometrial cancer in five different gynaecological departments in Germany. Histological assessments of curettage and hysterectomy specimens were collected and evaluated. RESULTS: Preoperative histologic subtype was confirmed in 89.5% of cases and preoperative tumor grading in 75.2% of cases. Higher rates of histologic subtype variations (36.84%) were observed for non-endometrioid carcinomas. Non-endometrioid (OR 4.41) histology and high-grade (OR 8.37) carcinomas were identified as predictors of diverging histologic subtypes, while intermediate (OR 5.04) and high grading (OR 3.94) predicted diverging tumor grading. CONCLUSION: When planning therapy for endometrial cancer, the limited accuracy of endometrial sampling, especially in case of non-endometrioid histology or high tumor grading, should be carefully considered.

Vulvar Leiomyosarcomas: A Case Series with Clinical Comparison to Uterine Leiomyosarcomas and Review of the Literature.

BACKGROUND Leiomyosarcomas of the vulva (VLMS) are very rare among gynecological malignancies, with a lack of knowledge on clinical presentation, prognosis, and therapeutic management. CASE REPORT The database of the German Clinical Center of Competence for Genital Sarcomas and Mixed Tumors in Greifswald (DKSM) was reviewed between the years 2010 and 2020. A total of 8 cases of VLMS were retrieved and analyzed retrospectively. One exemplary case of VLMS was outlined in detail: A 45-year-old premenopausal woman presented with increasing vulvar swelling and discomfort. Given the suspicion of a Bartholin's gland abscess, the mass was excised. Final pathology revealed a solid tumor consistent with a moderately differentiated leiomyosarcoma of the vulva. A wide local excision was subsequently performed followed by adjuvant external beam radiation. The clinical features of these 8 cases of VLMS were compared to 26 cases of VLMS found in a review of the literature and to a total of 276 cases of uterine leiomyosarcoma (ULMS) from the same database (DKSM). CONCLUSIONS In addition to rapid growth, observed in both tumor entities, VLMS most commonly presented as Bartholin's gland abscess or cyst and ULMS as leiomyoma. In this cohort, the prognosis of VLMS was much better than that of ULMS, most probably due to the significantly smaller tumor size of VLMS at diagnosis. Further data and larger studies on VLMS are needed to calculate recurrence and survival rates more accurately and define the role of adjuvant radiotherapy.

Potential of Lesion-to-Fat Elasticity Ratio Measured by Shear Wave Elastography to Reduce Benign Biopsies in BI-RADS 4 Breast Lesions.

OBJECTIVES: We evaluated whether lesion-to-fat ratio measured by shear wave elastography in patients with Breast Imaging Reporting and Data System (BI-RADS) 3 or 4 lesions has the potential to further refine the assessment of B-mode ultrasound alone in breast cancer diagnostics. METHODS: This was a secondary analysis of an international diagnostic multicenter trial (NCT02638935). Data from 1288 women with breast lesions categorized as BI-RADS 3 and 4a-c by conventional B-mode ultrasound were analyzed, whereby the focus was placed on differentiating lesions categorized as BI-RADS 3 and BI-RADS 4a. All women underwent shear wave elastography and histopathologic evaluation functioning as reference standard. Reduction of benign biopsies as well as the number of missed malignancies after reclassification using lesion-to-fat ratio measured by shear wave elastography were evaluated. RESULTS: Breast cancer was diagnosed in 368 (28.6%) of 1288 lesions. The assessment with conventional B-mode ultrasound resulted in 53.8% (495 of 1288) pathologically benign lesions categorized as BI-RADS 4 and therefore false positives as well as in 1.39% (6 of 431) undetected malignancies categorized as BI-RADS 3. Additional lesion-to-fat ratio in BI-RADS 4a lesions with a cutoff value of 1.85 resulted in 30.11% biopsies of benign lesions which correspond to a reduction of 44.04% of false positives. CONCLUSIONS: Adding lesion-to-fat ratio measured by shear wave elastography to conventional B-mode ultrasound in BI-RADS 4a breast lesions could help reduce the number of benign biopsies by 44.04%. At the same time, however, 1.98% of malignancies were missed, which would still be in line with American College of Radiology BI-RADS 3 definition of <2% of undetected malignancies.

Accidental Morcellation of Uterine Leiomyosarcoma Influences Relapse Free Survival but Does Not Negatively Influence Overall Survival.

Background: Uterine leiomyosarcoma (LMS) is a rare entity amongst malignant gynaecological tumours and is mostly diagnosed after surgery for benign leiomyoma (LM) of the uterus. As minimal invasive surgery is widely used, the morcellation of LM and the uterus is rather common. As there is little known about the impact of the morcellation of LMS on local and distant metastases, as well as overall survival, we carried out a large-scale retrospective study. Methods: A total of 301 LMS cases from the German Clinical Competence Centre for Genital Sarcomas and Mixed Tumours were analysed. We distinguished morcellated and non-morcellated LMS from pT1 and >pT1 tumours. Fine−Gray competing risks regressions and cumulative incidence rates were computed for the time to local recurrence, distant metastases, and patient death. Results: The recurrence free interval in pT1 LMS was significantly lower in the morcellation group with a 2-year cumulative incidence rate of 49% vs. 26% in non-morcellated LMS (p = 0.001). No differences were seen in >pT1 tumours. Distant metastases were more frequently found in non-morcellated pT1 LMS compared to the morcellated cases (5-year cumulative incidence: 54% vs. 29%, p < 0.001). There was no significant difference in time to death between both groups neither in the pT1 stages nor in >pT1 disease. Subdistribution hazard ratios estimated by multivariable competing risks regressions for the morcellation of pT1 LMS were 2.11 for local recurrence (95% CI 1.41−3.16, p < 0.001) and 0.52 for distant metastases (95% CI 0.32−0.84, p = 0.008). Conclusions: Tumour morcellation is not associated with OS for pT1 tumours. The morcellation of pT1 LMS seems to prolong the time to distant metastases whereas local recurrence is more likely to occur after the morcellation of pT1 LMS.

The Potential of Shear Wave Elastography to Reduce Unnecessary Biopsies in Breast Cancer Diagnosis: An International, Diagnostic, Multicenter Trial.

PURPOSE: In this prospective, multicenter trial we evaluated whether additional shear wave elastography (SWE) for patients with BI-RADS 3 or 4 lesions on breast ultrasound could further refine the assessment with B-mode breast ultrasound for breast cancer diagnosis. MATERIALS AND METHODS: We analyzed prospective, multicenter, international data from 1288 women with breast lesions rated by conventional 2 D B-mode ultrasound as BI-RADS 3 to 4c and undergoing 2D-SWE. After reclassification with SWE the proportion of undetected malignancies should be < 2 %. All patients underwent histopathologic evaluation (reference standard). RESULTS: Histopathologic evaluation showed malignancy in 368 of 1288 lesions (28.6 %). The assessment with B-mode breast ultrasound resulted in 1.39 % (6 of 431) undetected malignancies (malignant lesions in BI-RADS 3) and 53.80 % (495 of 920) unnecessary biopsies (biopsies in benign lesions). Re-classifying BI-RADS 4a patients with a SWE cutoff of 2.55 m/s resulted in 1.98 % (11 of 556) undetected malignancies and a reduction of 24.24 % (375 vs. 495) of unnecessary biopsies. CONCLUSION: A SWE value below 2.55 m/s for BI-RADS 4a lesions could be used to downstage these lesions to follow-up, and therefore reduce the number of unnecessary biopsies by 24.24 %. However, this would come at the expense of some additionally missed cancers compared to B-mode breast ultrasound (rate of undetected malignancies 1.98 %, 11 of 556, versus 1.39 %, 6 of 431) which would, however, still be in line with the ACR BI-RADS 3 definition (< 2 % of undetected malignancies).

Intelligent multi-modal shear wave elastography to reduce unnecessary biopsies in breast cancer diagnosis (INSPiRED 002): a retrospective, international, multicentre analysis.

BACKGROUND: Breast ultrasound identifies additional carcinomas not detected in mammography but has a higher rate of false-positive findings. We evaluated whether use of intelligent multi-modal shear wave elastography (SWE) can reduce the number of unnecessary biopsies without impairing the breast cancer detection rate. METHODS: We trained, tested, and validated machine learning algorithms using SWE, clinical, and patient information to classify breast masses. We used data from 857 women who underwent B-mode breast ultrasound, SWE, and subsequent histopathologic evaluation at 12 study sites in seven countries from 2016 to 2019. Algorithms were trained and tested on data from 11 of the 12 sites and externally validated using the additional site's data. We compared findings to the histopathologic evaluation and compared the diagnostic performance between B-mode breast ultrasound, traditional SWE, and intelligent multi-modal SWE. RESULTS: In the external validation set (n = 285), intelligent multi-modal SWE showed a sensitivity of 100% (95% CI, 97.1-100%, 126 of 126), a specificity of 50.3% (95% CI, 42.3-58.3%, 80 of 159), and an area under the curve of 0.93 (95% CI, 0.90-0.96). Diagnostic performance was significantly higher compared to traditional SWE and B-mode breast ultrasound (P < 0.001). Unlike traditional SWE, positive-predictive values of intelligent multi-modal SWE were significantly higher compared to B-mode breast ultrasound. Unnecessary biopsies were reduced by 50.3% (79 versus 159, P < 0.001) without missing cancer compared to B-mode ultrasound. CONCLUSION: The majority of unnecessary breast biopsies might be safely avoided by using intelligent multi-modal SWE. These results may be helpful to reduce diagnostic burden for patients, providers, and healthcare systems.

The importance of multi-modal imaging and clinical information for humans and AI-based algorithms to classify breast masses (INSPiRED 003): an international, multicenter analysis.

OBJECTIVES: AI-based algorithms for medical image analysis showed comparable performance to human image readers. However, in practice, diagnoses are made using multiple imaging modalities alongside other data sources. We determined the importance of this multi-modal information and compared the diagnostic performance of routine breast cancer diagnosis to breast ultrasound interpretations by humans or AI-based algorithms. METHODS: Patients were recruited as part of a multicenter trial (NCT02638935). The trial enrolled 1288 women undergoing routine breast cancer diagnosis (multi-modal imaging, demographic, and clinical information). Three physicians specialized in ultrasound diagnosis performed a second read of all ultrasound images. We used data from 11 of 12 study sites to develop two machine learning (ML) algorithms using unimodal information (ultrasound features generated by the ultrasound experts) to classify breast masses which were validated on the remaining study site. The same ML algorithms were subsequently developed and validated on multi-modal information (clinical and demographic information plus ultrasound features). We assessed performance using area under the curve (AUC). RESULTS: Of 1288 breast masses, 368 (28.6%) were histopathologically malignant. In the external validation set (n = 373), the performance of the two unimodal ultrasound ML algorithms (AUC 0.83 and 0.82) was commensurate with performance of the human ultrasound experts (AUC 0.82 to 0.84; p for all comparisons > 0.05). The multi-modal ultrasound ML algorithms performed significantly better (AUC 0.90 and 0.89) but were statistically inferior to routine breast cancer diagnosis (AUC 0.95, p for all comparisons ≤ 0.05). CONCLUSIONS: The performance of humans and AI-based algorithms improves with multi-modal information. KEY POINTS: • The performance of humans and AI-based algorithms improves with multi-modal information. • Multimodal AI-based algorithms do not necessarily outperform expert humans. • Unimodal AI-based algorithms do not represent optimal performance to classify breast masses.

The potential of combined shear wave and strain elastography to reduce unnecessary biopsies in breast cancer diagnostics - An international, multicentre trial.

BACKGROUND: Shear wave elastography (SWE) and strain elastography (SE) have shown promising potential in breast cancer diagnostics by evaluating the stiffness of a lesion. Combining these two techniques could further improve the diagnostic performance. We aimed to exploratorily define the cut-offs at which adding combined SWE and SE to B-mode breast ultrasound could help reclassify Breast Imaging Reporting and Data System (BI-RADS) 3-4 lesions to reduce the number of unnecessary breast biopsies. METHODS: We report the secondary results of a prospective, multicentre, international trial (NCT02638935). The trial enrolled 1288 women with BI-RADS 3 to 4c breast masses on conventional B-mode breast ultrasound. All patients underwent SWE and SE (index test) and histopathologic evaluation (reference standard). Reduction of unnecessary biopsies (biopsies in benign lesions) and missed malignancies after recategorising with SWE and SE were the outcome measures. RESULTS: On performing histopathologic evaluation, 368 of 1288 breast masses were malignant. Following the routine B-mode breast ultrasound assessment, 53.80% (495 of 920 patients) underwent an unnecessary biopsy. After recategorising BI-RADS 4a lesions (SWE cut-off ≥3.70 m/s, SE cut-off ≥1.0), 34.78% (320 of 920 patients) underwent an unnecessary biopsy corresponding to a 35.35% (320 versus 495) reduction of unnecessary biopsies. Malignancies in the new BI-RADS 3 cohort were missed in 1.96% (12 of 612 patients). CONCLUSION: Adding combined SWE and SE to routine B-mode breast ultrasound to recategorise BI-RADS 4a patients could help reduce the number of unnecessary biopsies in breast diagnostics by about 35% while keeping the rate of undetected malignancies below the 2% ACR BI-RADS 3 definition.

Postoperative Complications in Breast Reconstruction With Porcine Acellular Dermis and Polypropylene Meshes in Subpectoral Implant Placement.

AIM: This research compares postoperative complication rates with Strattice™, SERAGYN® BR, and TiLOOP® Bra interposition devices for subpectoral implant placement after skin or nipple sparing mastectomy. PATIENTS AND METHODS: 188 breast reconstructions in 157 patients after primary (n=96), secondary (n=71), or prophylactic (n=21) surgery were analyzed regarding major and minor complications. RESULTS: With acellular dermal matrix (ADM) Strattice™, 27.5% major and 27.5% minor complications occurred. Implant loss rates were 27.3% in primary and 30.8% in secondary reconstructions. With SERAGYN® BR, 11.1% major and 13,0% minor complications occurred. Implant losses (6.1%) occurred exclusively in primary reconstructions. With TiLOOP® Bra, 14.9% major and 9.6% minor complications occurred. Implant loss rates were 7.7% in primary and 7.1% in secondary reconstructions. CONCLUSION: ADM was associated with high complication rates in primary and secondary reconstructions. Low complication rates were seen with mesh interposition devices in primary, secondary, and prophylactic reconstructions.

Patient Quality of Life After Subpectoral Implant-based Breast Reconstruction With Synthetic or Biological Materials.

AIM: Quality of life and patient satisfaction after subpectoral breast reconstruction with meshes or acellular dermal matrices (ADM) and implants were assessed using the BreastQ questionnaire to investigate a potential influence of the materials on these parameters. PATIENTS AND METHODS: The BreastQ questionnaire was completed by 121 patients, who had received material-assisted, heterologous, subpectoral breast reconstruction between 2010 and 2018. RESULTS: Answers were similar independent of the reconstruction materials used. After prophylactic mastectomy, the physical wellbeing (chest) improved significantly with all materials (p=0.04). Postoperative radiotherapy significantly reduced satisfaction with outcome (p=0.005). Patients under 50 years old had significantly better postoperative sexual wellbeing than older patients (p=0.03). CONCLUSION: No influence was detected of the materials on the postoperative quality of life and patient satisfaction. An overall better quality of life was reported by younger and normal-weight patients with prophylactic or nipple-sparing mastectomy without radiotherapy.

Retrospective Study of Radiotherapy Impact on the Outcome of Material-assisted Implant-based Subpectoral Breast Reconstruction.

BACKGROUND/AIM: Synthetic meshes (SMs) and acellular dermal matrices (ADMs) are used in reconstructive breast surgery. In the absence of prospective comparative studies, the identification of differences relies on retrospective analyses. PATIENTS AND METHODS: Our analysis focused on the impact of pre- and postoperative radiotherapy (RTX) and material-related differences. The analysis included 281 breast cancer patients (362 breasts) after nipple- and skin-sparing mastectomy with subpectoral implant insertion. RESULTS: Overall, the implant loss rate was 23.1% using porcine ADM, 7% using partially resorbable SM (prSM), and 5.6% using non-resorbable SM (nrSM). After RTX, the implant loss rate was 56.3% with ADM, 13% with prSM and 13.2% with nrSM. The ADM group showed a significant effect of RTX on the postoperative seroma rate, wound infections, and implant loss rate. When prSM was used, RTX showed no significant effect. When using the nrSM, RTX significantly influenced complication rates regarding wound infections and implant loss. CONCLUSION: In material-assisted breast reconstructions with pre- or post-operative RTX, there is a significantly higher implant loss rate when using porcine ADM compared to SM.

Impact of the Lysine-urethane Adhesive TissuGlu® on Postoperative Complications and Interventions After Drain-free Mastectomy.

BACKGROUND/AIM: The influence of a polyurethane-based tissue adhesive (TissuGlu®) on common complications following breast surgery was investigated. PATIENTS AND METHODS: Within a Randomized-Controlled-Trial 70 women (n=35 TissuGlu®, n=35 drain) underwent a mastectomy with or without sentinel lymph node excision (SLNE), followed by a 90-day postoperative follow-up. RESULTS: Postoperative interventions: Non-inferiority of the application of TissuGlu® was seen. Pain-Level/ Hospitalization: A statistically significant pain reduction from day four onwards (p<0.001) and a shorter hospitalization period (p<0.001) was observed. In contrast, the TissuGlu® group showed increased mean puncture incidence (p=0.013), and increased puncture volume (p=0.021). CONCLUSION: Application of the polyurethane-based tissue adhesive TissuGlu® after mastectomy, with or without SLNE, showed potential for improvement of the clinical outcome. In contrast, high intervention rates and increased puncture volume, caused by recurring seromas following application of the surgical adhesive TissuGlu®, have a negative impact on the patient-specific convalescence.

Correlation of Ductoscopic and Histopathological Findings and Their Relevance as Predictors for Malignancy: A German Multicenter Study.

BACKGROUND/AIM: The study aimed at investigating the correlation between ductoscopic and histopathological findings and clarify whether the former allow for accurate prediction of malignancy. PATIENTS AND METHODS: The prospective national multi-center study covered a sample of 224 patients with pathologic nipple discharge. A total of 214 patients underwent ductoscopy with subsequent extirpation of the mammary duct. The ductoscopic findings were categorized according to shape, number, color and surface structure of lesions and vascularity and compared to the histological results and analyses. RESULTS: Ductoscopy revealed lesions in 134 of 214 patients (62.2%). The criteria "multiple versus solitary lesion" differed significantly between malignant and benign lesions. All other criteria were not statistically significant. Malignant tumors were more frequently presented as multiple lesions, benign lesions or masses as solitary lesions (80% vs. 24.8%; p=0.018). CONCLUSION: The ductoscopic criterion "solitary vs. multiple lesion" appears to have a low diagnostic prediction of malignancy or benignity.