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Lesions of uncertain malignant potential (B3) represent 10% of core needle biopsies (CNBs) or vacuum-assisted breast biopsies (VABBs). Traditionally, B3 lesions are operated on. This study investigated the association between B3 subtypes and malignancy to determine the best management. Pre- and postoperative histological reports from 226 patients, who had undergone excisional surgery for B3 lesions, following CNB or VABB, were retrospectively analyzed. The correlation between the CNB/VABB diagnosis and the final pathology was investigated, along with the correlation between malignancy upgrade and the type of mammographic lesion. The positive predictive value (PPV) of malignancy of B3 lesions was calculated by simple logistic regression. Patients without cancer diagnosis underwent a 7-y follow-up. Pathology showed 171 (75.6%) benign and 55 (24.3%) malignant lesions. The PPV was 24.3% (P = 0.043), including 31 (13.7%) ductal carcinomas in situ and 24 (10.6%) invasive carcinomas. The most frequently upgraded lesions were atypical ductal hyperplasia, 34.2% (P = 0.004), followed by lobular intraepithelial neoplasia, 27.5% (P = 0.025). The median diameter of mammographic lesions was 1.5 [0.9–2.5] cm, while for surgical specimens, it was 5 [4–7] cm (P < 0.0001). Mammographic findings and histology showed a significant correlation (P = 0.038). After a 7-y follow-up, 15 (8.9%) patients developed carcinoma, and 7 patients (4%) developed a new B3 lesion. We can conclude that atypical ductal hyperplasia and lobular intraepithelial neoplasia still require surgery for a significant PPV. Other types that lacked significance or confidence intervals were too wide to draw any conclusion. [ABSTRACT FROM AUTHOR]

Novel systemic therapies for breast cancer are being rapidly implemented into clinical practice. These drugs often have different mechanisms of action and side-effect profiles compared with traditional chemotherapy. Underpinning practice-changing clinical trials focused on the systemic therapies under investigation, thus there are sparse data available on radiotherapy. Integration of these new systemic therapies with radiotherapy is therefore challenging. Given this rapid, transformative change in breast cancer multimodal management, the multidisciplinary community must unite to ensure optimal, safe, and equitable treatment for all patients. The aim of this collaborative group of radiation, clinical, and medical oncologists, basic and translational scientists, and patient advocates was to: scope, synthesise, and summarise the literature on integrating novel drugs with radiotherapy for breast cancer; produce consensus statements on drug–radiotherapy integration, where specific evidence is lacking; and make best-practice recommendations for recording of radiotherapy data and quality assurance for subsequent studies testing novel drugs. [ABSTRACT FROM AUTHOR]

The rising incidence of Human Papilloma Virus (HPV) related oropharyngeal squamous cell carcinoma (OPC) in the older population has been confirmed by recent epidemiologic reports. An increase of over 50% is expected in the population aged older than 65 years in the next decade. Some authors have focused their investigations on the "late" elderly subgroup defined as patients (pts) aged 75 years or older, still underrepresented in clinical trials. Indeed, there is a significant lack of data on their disease trajectory. The purpose of our experience was to evaluate the pattern of clinical practice in this specific subgroup of pts within the Italian Association of Radiotherapy and Clinical Oncology (AIRO). [Display omitted] An observational retrospective study was conducted over a 6-year period (2015-2021). Consecutive patients older than 75 years at diagnosis with a histologically-confirmed HPV positive (p16 immunohistochemistry/HPV DNA-in situ hybridization) OPC eligible for a curatively-intended treatment were included. Overall survival (OS) was defined as the time from OPC diagnosis to last follow-up or death from any cause. Progression-free survival (PFS) was defined as the time from the last day of curative-intended treatment to disease progression or death from any cause. Median OS and PFS was estimated by the Kaplan-Meyer method. A log-rank test was employed to test different variables: smoking history, presence of caregiver, employed treatment modality and age (< or > 80 years) correlated with longer OS. Hazard ratios (HR) for the association between the variables of interest and the risk of death were obtained by univariate Cox regression analysis. A p-value <0.05 was considered statistically significant. Acute toxicity was evaluated according to CTCAE v. 5.0 [Display omitted] A cohort of 95 pts was included in our analysis. The median age was 78 years (table 1). ECOG PS 0-1 and locally advanced disease were reported for the vast majority of patients, 92.6% and 89.4% (in stage III/IV according to TNM 7thedition) respectively. As expected, exclusive radiotherapy (RT) was the most common adopted strategy. After a median follow- up of 25 months (range: 0-116), 64 patients were alive (67.3%). The one and two-year PFS were 75% and 67%, the median PFS was not reached (Figure 1a). The one and two-year OS rates were 83% and 75%, respectively, whereas the median OS was not reached. Among the tested variables, belonging to the group of age >80 years was associated with a worse OS (p=0.0429; HR for death, 2.15, 95% CI 1.00-4.60, Figure 1b), whereas no impact on survival was associated to the smoking history (p=.011), treatment modality (p=0.32) and presence of caregiver (p=0.65). The toxicity profile was acceptable (>G3 toxicity of 29.4%), although 6 patients (6.3%) died due to potential treatment-related complications. Further analyses on radiation dose, target volumes and pattern of failure will be reported To the best of our knowledge, our series represents one of the largest to date on "late" elderly population with non-metastatic HPV positive OPC treated with a curatively-intended, RT-based approach. Thanks to the appropriate selection of pts, an optimal survival outcome can be achieved with standard treatment options, in line with data reported for the younger population. Further prospective studies investigating larger series of older pts are warranted in order to confirm our conclusions. [ABSTRACT FROM AUTHOR]

After KEYNOTE 048, PDL1 CPS score has become essential in treatment choice for patients with squamous cell carcinoma of the head and neck (HNSCC) not eligible for curative treatment. This report aims to analyze efficacy and safety outcomes in a cohort of patients treated in our center with first line systemic therapy (FLST) from 2021. We collected retrospectively data about stadiation and treatment from patients with recurrent/metastatic HNSCC treated in our center with FLST according to CPS. The primary endpoints were overall survival (OS) and progression-free survival (PFS) (considered from the start of FLST). Toxicity data were reported according to CTCAEv4.0. [Display omitted] Thirty-nine patients who underwent FLST in our center between Jan 2021 and May 2023 were included in this retrospective study, with a median follow-up of 9 months [95%CI 1.2-16.8]. Median age was 63 years and PS ECOG mostly 0-1 (90%); CPS resulted negative in 8 (21%), >1 in 9 (23%) and >20 in 22 (56%) patients. 16 patients (41%) had distant metastases, the others locoregional disease not eligible for radical treatment. EXTREME schedule was chosen in the 8 CPS-negative patients; 20 of the CPS-positive cohort received Platinum+5FU+Pembrolizumab (PFP) and 11 Pembrolizumab alone. Considering all patients, median OS was 9 months [95%CI 3.1-14.8], 1-year OS 46%, 2-year OS 20%; median PFS was 5 months [95%CI 3.4-6.5] (Figure 1). One-year PFS 21%. Pembrolizumab group had a median OS of 9 months [95%CI 3.5-14.5] and 1-year OS of 38%; PFP group had median OS of 10 months [95%CI 0-23.9], 1-year OS 45% and 2-year OS 30%. At univariate analysis, younger age was associated with longer survival with a median OS of 17 months [95%CI 4.2-29.7] and 5 months [95%CI 1.7-8.3] for patients aged <70y and >70y respectively (p=0.01). Regarding toxicity, we reported 15 events > G3; the most frequent were mucositis (4) and neutropenia (4) in chemotherapy groups; only 3 occurred with Pembrolizumab alone. In our cohort, patients with recurrent/metastatic HNSCC had efficacy and safety outcomes in line with published chemo-immunotherapy data (KN048). Younger age was significantly associated with longer survival. [ABSTRACT FROM AUTHOR]

Loco-regional recurrence (LRR) is the predominant pattern of failure in locally-advanced head and neck cancer (HNC), both in squamous cell carcinoma (SCC) and non-squamous histotypes. Despite the proven role of radiotherapy (RT) as primary treatment strategy, there is sparse evidence on the use of reirradiation (ReRT) in recurrent HNC (rHNC). Various regimens of hypofractionation have been described in the literature, without a clear consensus. The aim of our single-centre study is to evaluate the clinical outcome of unresectable rHNC patients treated with Cyberknife-based (CK) hypofractionated reRT. We retrospectively analyzed data from consecutive patients with rHNC who received CK reRT at our institution. All eligible patients had a recurrent, non-metastatic, previously irradiated unresectable HNC. Each case was discussed at a multidisciplinary level before treatment. Local control (LC), progression-free survival (PFS) and overall survival (OS) were calculated using the Kaplan-Meier method and log rank test with time measured from the date of last day of reRT to date of local recurrence, progression of disease or death, respectively. [Display omitted] First curatively intended course of RT was delivered from 1997 to 2020, concomitantly with chemotherapy or not. Thirty-five patients received Cyberknife (CK)-based hypofractionated reRT. The majority of patients (22, 63%) had a diagnosis of SCC and 13 patients (37%) had other histotypes than SCC. The median age of the cohort was 62 years at diagnosis. The CK reRT was performed from 2012 to 2022. The most commonly adopted schedules of reRT were 25Gy (57%) and 30Gy (43%) in 5 fractions on alternating days. After a median follow-up of 12 months (range 2-48), 6 out of 35 patients were alive. Causes of death were related to HNC in 12 patients and in 9 to other causes. The median LC and the 1-year LC rate were 10 months (95% CI 6,6-13,4 months) and 42%, respectively. The median PFS and OS and the 1-year PFS and OS rates were 8 months (95% CI 6.1-9,8 months), 18 months (95% CI 11,8-24,1 months) and 15% and 71% (Figure 1), respectively. At univariate analysis, a negative correlation between time to CK reRT < 12 months and LC (p 0.01) was reported. Moreover, a positive trend association between time from first to second irradiation ≥ 12 months and OS (p 0.09) was shown, in line with findings available from the literature. A significantly better OS was found in patients aged < 65 years (p 0.045). From our analysis, hypofractionated ReRT can be viewed as a well-tolerated treatment option for rHNC with potential for prolonged local control in appropriately selected patients. [ABSTRACT FROM AUTHOR]

• Re-irradiation (re-RT) of intracranial recurrent meningiomas is still matter of debate and limited by radiation tolerance of the surrounding tissue and the increased risk of side effects. • Re-RT is increasingly considered in current clinical practice, but its efficacy and safety for brain tumors are still under investigation. The optimal choice of patient selection, RT modalities and dose for re-irradiation are not well established yet. • This retrospective analysis aims at providing data about clinical outcomes, toxicities and prognostic factors in a cohort of 181 intracranial recurrent meningioma patients treated in 8 different Italian centers with different RT modalities. Re-irradiation (re-RT) for recurrent intracranial meningiomas is hindered by the limited radiation tolerance of surrounding tissue and the risk of side effects. This study aimed at assessing outcomes, toxicities and prognostic factors in a cohort of patients with recurrent meningiomas re-treated with different RT modalities. A multi-institutional database from 8 Italian centers including intracranial recurrent meningioma (RM) patients who underwent re-RT with different modalities (SRS, SRT, PT, EBRT) was collected. Biologically Equivalent Dose in 2 Gy-fractions (EQD2) and Biological Effective Dose (BED) for normal tissue and tumor were estimated for each RT course (α/β = 2 for brain tissue and α/β = 4 for meningioma). Primary outcome was second progression-free survival (s-PFS). Secondary outcomes were overall survival (OS) and treatment-related toxicity. Kaplan–Meier curves and Cox regression models were used for analysis. Between 2003 and 2021 181 patients (pts) were included. Median age at re-irradiation was 62 (range 20–89) and median Karnofsky Performance Status (KPS) was 90 (range 60–100). 78 pts were identified with WHO grade 1 disease, 65 pts had grade 2 disease and 10 pts had grade 3 disease. 28 pts who had no histologic sampling were grouped with grade 1 patients for further analysis. Seventy-five (41.4 %) patients received SRS, 63 (34.8 %) patients SRT, 31 (17.1 %) PT and 12 (6.7 %) EBRT. With a median follow-up of 4.6 years (interquartile range 1.7–6.8), 3-year s-PFS was 51.6 % and 3-year OS 72.5 %. At univariate analysis, SRT (HR 0.32, 95 % CI 0.19–0.55, p < 0.001), longer interval between the two courses of irradiation (HR 0.37, 95 % CI 0.21–0.67, p = 0.001), and higher tumor BED (HR 0.45 95 % CI 0.27–0.76, p = 0.003) were associated with longer s-PFS; in contrast, Ki67 > 5 % (HR 2.81, 95 % CI 1.48–5.34, p = 0.002) and WHO grade > 2 (HR 3.08, 95 % CI 1.80–5.28, p < 0.001) were negatively correlated with s-PFS. At multivariate analysis, SRT, time to re-RT and tumor BED maintained their statistically significant prognostic impact on s-PFS (HR 0.36, 95 % CI 0.21–0.64, p < 0.001; HR 0.38, 95 % CI 0.20–0.72, p = 0.003 and HR 0.31 95 % CI 0.13–0.76, p = 0.01, respectively). Acute and late adverse events (AEs) were reported in 38 (20.9 %) and 29 (16 %) patients. Larger tumor GTV (≥10 cc) was significantly associated with acute and late toxicity (p < 0.001 and p = 0.009, respectively). In patients with recurrent meningiomas, reirradiation is a feasible treatment option associated with acceptable toxicity profile. Prognostic factors in the decision-making process have been identified and should be incorporated in daily practice. [ABSTRACT FROM AUTHOR]

• Optimal dose and fractionation in SBRT for oligometastatic cancer patients remain unknown. • In the first 1,099 OligoCare patients, median number of fractions was 5 and fraction dose 9.7 Gy. • On multivariate analysis, dose varied significantly for primary cancer type and metastatic sites. • Future analysis will address safety and efficacy of this site- and disease-adapted SBRT practice. Optimal dose and fractionation in stereotactic body radiotherapy (SBRT) for oligometastatic cancer patients remain unknown. In this interim analysis of OligoCare, we analyzed factors associated with SBRT dose and fractionation. Analysis was based on the first 1,099 registered patients. SBRT doses were converted to biological effective doses (BED) using α/β of 10 Gy for all primaries, and cancer-specific α/β of 10 Gy for non-small cell lung and colorectal cancer (NSCLC, CRC), 2.5 Gy for breast cancer (BC), or 1.5 Gy for prostate cancer (PC). Of the interim analysis population of 1,099 patients, 999 (99.5 %) fulfilled inclusion criteria and received metastasis-directed SBRT for NSCLC (n = 195; 19.5 %), BC (n = 163; 16.3 %), CRC (n = 184; 18.4 %), or PC (n = 457; 47.5 %). Two thirds of patients were treated for single metastasis. Median number of fractions was 5 (IQR, 3–5) and median dose per fraction was 9.7 (IQR, 7.7–12.4) Gy. The most frequently treated sites were non-vertebral bone (22.8 %), lung (21.0 %), and distant lymph node metastases (19.0 %). On multivariate analysis, the dose varied significantly for primary cancer type (BC: 237.3 Gy BED, PC 300.6 Gy BED, and CRC 84.3 Gy BED), and metastatic sites, with higher doses for lung and liver lesions. This real-world analysis suggests that SBRT doses are adjusted to the primary cancers and oligometastasis location. Future analysis will address safety and efficacy of this site- and disease-adapted SBRT fractionation approach (NCT03818503). [ABSTRACT FROM AUTHOR]

Background: Texture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual medicine. Furthermore, multimodal machine learning could have a large impact for precision medicine, as texture biomarkers can underlie tissue microstructure. This study aims to investigate imaging-based biomarkers of radio-induced neurotoxicity in pediatric patients with metastatic medulloblastoma, using radiomic and dosiomic analysis.This single-center study retrospectively enrolled children diagnosed with metastatic medulloblastoma (MB) and treated with hyperfractionated craniospinal irradiation (CSI). Histological confirmation of medulloblastoma and baseline follow-up magnetic resonance imaging (MRI) were mandatory. Treatment involved helical tomotherapy (HT) delivering a dose of 39 Gray (Gy) to brain and spinal axis and a posterior fossa boost up to 60 Gy. Clinical outcomes, such as local and distant brain control and neurotoxicity, were recorded. Radiomic and dosiomic features were extracted from tumor regions on T1, T2, FLAIR (fluid-attenuated inversion recovery) MRI-maps, and radiotherapy dose distribution. Different machine learning feature selection and reduction approaches were performed for supervised and unsupervised clustering.Forty-eight metastatic medulloblastoma patients (29 males and 19 females) with a mean age of 12 ± 6 years were enrolled. For each patient, 332 features were extracted. Greater level of abstraction of input data by combining selection of most performing features and dimensionality reduction returns the best performance. The resulting one-component radiomic signature yielded an accuracy of 0.73 with sensitivity, specificity, and precision of 0.83, 0.64, and 0.68, respectively.Machine learning radiomic-dosiomic approach effectively stratified pediatric medulloblastoma patients who experienced radio-induced neurotoxicity. Strategy needs further validation in external dataset for its potential clinical use in ab initio management paradigms of medulloblastoma.Methods: Texture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual medicine. Furthermore, multimodal machine learning could have a large impact for precision medicine, as texture biomarkers can underlie tissue microstructure. This study aims to investigate imaging-based biomarkers of radio-induced neurotoxicity in pediatric patients with metastatic medulloblastoma, using radiomic and dosiomic analysis.This single-center study retrospectively enrolled children diagnosed with metastatic medulloblastoma (MB) and treated with hyperfractionated craniospinal irradiation (CSI). Histological confirmation of medulloblastoma and baseline follow-up magnetic resonance imaging (MRI) were mandatory. Treatment involved helical tomotherapy (HT) delivering a dose of 39 Gray (Gy) to brain and spinal axis and a posterior fossa boost up to 60 Gy. Clinical outcomes, such as local and distant brain control and neurotoxicity, were recorded. Radiomic and dosiomic features were extracted from tumor regions on T1, T2, FLAIR (fluid-attenuated inversion recovery) MRI-maps, and radiotherapy dose distribution. Different machine learning feature selection and reduction approaches were performed for supervised and unsupervised clustering.Forty-eight metastatic medulloblastoma patients (29 males and 19 females) with a mean age of 12 ± 6 years were enrolled. For each patient, 332 features were extracted. Greater level of abstraction of input data by combining selection of most performing features and dimensionality reduction returns the best performance. The resulting one-component radiomic signature yielded an accuracy of 0.73 with sensitivity, specificity, and precision of 0.83, 0.64, and 0.68, respectively.Machine learning radiomic-dosiomic approach effectively stratified pediatric medulloblastoma patients who experienced radio-induced neurotoxicity. Strategy needs further validation in external dataset for its potential clinical use in ab initio management paradigms of medulloblastoma.Results: Texture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual medicine. Furthermore, multimodal machine learning could have a large impact for precision medicine, as texture biomarkers can underlie tissue microstructure. This study aims to investigate imaging-based biomarkers of radio-induced neurotoxicity in pediatric patients with metastatic medulloblastoma, using radiomic and dosiomic analysis.This single-center study retrospectively enrolled children diagnosed with metastatic medulloblastoma (MB) and treated with hyperfractionated craniospinal irradiation (CSI). Histological confirmation of medulloblastoma and baseline follow-up magnetic resonance imaging (MRI) were mandatory. Treatment involved helical tomotherapy (HT) delivering a dose of 39 Gray (Gy) to brain and spinal axis and a posterior fossa boost up to 60 Gy. Clinical outcomes, such as local and distant brain control and neurotoxicity, were recorded. Radiomic and dosiomic features were extracted from tumor regions on T1, T2, FLAIR (fluid-attenuated inversion recovery) MRI-maps, and radiotherapy dose distribution. Different machine learning feature selection and reduction approaches were performed for supervised and unsupervised clustering.Forty-eight metastatic medulloblastoma patients (29 males and 19 females) with a mean age of 12 ± 6 years were enrolled. For each patient, 332 features were extracted. Greater level of abstraction of input data by combining selection of most performing features and dimensionality reduction returns the best performance. The resulting one-component radiomic signature yielded an accuracy of 0.73 with sensitivity, specificity, and precision of 0.83, 0.64, and 0.68, respectively.Machine learning radiomic-dosiomic approach effectively stratified pediatric medulloblastoma patients who experienced radio-induced neurotoxicity. Strategy needs further validation in external dataset for its potential clinical use in ab initio management paradigms of medulloblastoma.Conclusions: Texture analysis extracts many quantitative image features, offering a valuable, cost-effective, and non-invasive approach for individual medicine. Furthermore, multimodal machine learning could have a large impact for precision medicine, as texture biomarkers can underlie tissue microstructure. This study aims to investigate imaging-based biomarkers of radio-induced neurotoxicity in pediatric patients with metastatic medulloblastoma, using radiomic and dosiomic analysis.This single-center study retrospectively enrolled children diagnosed with metastatic medulloblastoma (MB) and treated with hyperfractionated craniospinal irradiation (CSI). Histological confirmation of medulloblastoma and baseline follow-up magnetic resonance imaging (MRI) were mandatory. Treatment involved helical tomotherapy (HT) delivering a dose of 39 Gray (Gy) to brain and spinal axis and a posterior fossa boost up to 60 Gy. Clinical outcomes, such as local and distant brain control and neurotoxicity, were recorded. Radiomic and dosiomic features were extracted from tumor regions on T1, T2, FLAIR (fluid-attenuated inversion recovery) MRI-maps, and radiotherapy dose distribution. Different machine learning feature selection and reduction approaches were performed for supervised and unsupervised clustering.Forty-eight metastatic medulloblastoma patients (29 males and 19 females) with a mean age of 12 ± 6 years were enrolled. For each patient, 332 features were extracted. Greater level of abstraction of input data by combining selection of most performing features and dimensionality reduction returns the best performance. The resulting one-component radiomic signature yielded an accuracy of 0.73 with sensitivity, specificity, and precision of 0.83, 0.64, and 0.68, respectively.Machine learning radiomic-dosiomic approach effectively stratified pediatric medulloblastoma patients who experienced radio-induced neurotoxicity. Strategy needs further validation in external dataset for its potential clinical use in ab initio management paradigms of medulloblastoma. [ABSTRACT FROM AUTHOR]

In this perspective paper, the findings of the recently published LUMINA study are critically evaluated, with an emphasis on the need for careful interpretation and a thoughtful approach in clinical practice. The LUMINA trial, which investigates the role of adjuvant endocrine therapy in low-risk breast cancer patients, is assessed for its limitations, including a highly selective patient cohort and an insufficient follow-up period. The importance of long-term data and further trials to inform clinical decisions effectively is emphasized. While the LUMINA study does not support an immediate change in practice, it is seen as a foundation for generating hypotheses to guide ongoing clinical trials. This important study has served as inspiration to develop this perspective paper, which takes into account ongoing studies and the toxicity profile of postoperative treatments in low-risk recurrence breast cancer. The need for a patient-cantered approach is stressed, considering individual wishes and desires in decision-making, despite the complexity of articulating these aspects in guidelines. A wise interpretation of available findings is essential to ensure sound clinical decision-making before broadly applying omission of radiation therapy. [ABSTRACT FROM AUTHOR]

• Significant benefit for ONB if compared to ICUD was detected only for specific subdomains of QoL questionnaires. • No direct comparison between ICUD/ONB and TMT is available. • These data should be used in clinical practice to empower patients in deciding about local treatment choice. Radical cystectomy (RC) is considered the standard treatment for muscle invasive bladder cancer (MIBC). However, RC is often burdened by significant impact on quality of life (QoL); Continence preserving methods (e.g., continent cutaneous urinary diversion and orthotopic neobladder-ONB), have been proposed as alternatives to improve postoperative QoL. Trimodal therapy (TMT) emerged as alternative to surgery. To assess the impact of these treatments from the patients' perspective, we undertook a systematic review and meta-analysis of literature, focusing on studies reporting QoL data about each of the abovementioned approaches. A systematic review was carried out including all prospective and retrospective studies enrolling patients treated with radical intent for non-metastatic MIBC from 1999 to 2021 (either RC or TMT). All studies included specifically reported QoL for one of the main treatment approaches explored (RC followed by ileal conduit urinary diversion-ICUD, ONB or TMT). Pooled analysis for EORTC QLQ-C30 and BLM-30 questionnaires showed that ONB yielded a significant advantage only for Physical Functioning (pooled mean standardized difference −0.73 SD, p-value 0.019, I 2 = 93 %) and for Emotional Functioning (pooled mean standardized difference −0.16 SD, p-value 0.029, I 2 = 0 %). A trend in favour of higher mean reported values after TMT for Global Health Score, Physical Functioning and Role Functioning was found, if compared to both RC approaches. Significant benefit for ONB if compared to ICUD was detected only for specific subdomains of QoL questionnaires. No direct comparison with TMT is available, but data suggest advantage of this approach when compared to both reconstructive scenarios. [ABSTRACT FROM AUTHOR]