A multicentric study of radiomics and artificial intelligence analysis on contrast-enhanced mammography to identify different histotypes of breast cancer.

OBJECTIVE: To evaluate the performance of radiomic analysis on contrast-enhanced mammography images to identify different histotypes of breast cancer mainly in order to predict grading, to identify hormone receptors, to discriminate human epidermal growth factor receptor 2 (HER2) and to identify luminal histotype of the breast cancer. METHODS: From four Italian centers were recruited 180 malignant lesions and 68 benign lesions. However, only the malignant lesions were considered for the analysis. All patients underwent contrast-enhanced mammography in cranium caudal (CC) and medium lateral oblique (MLO) view. Considering histological findings as the ground truth, four outcomes were considered: (1) G1 + G2 vs. G3; (2) HER2 + vs. HER2 - ; (3) HR + vs. HR - ; and (4) non-luminal vs. luminal A or HR + /HER2- and luminal B or HR + /HER2 + . For multivariate analysis feature selection, balancing techniques and patter recognition approaches were considered. RESULTS: The univariate findings showed that the diagnostic performance is low for each outcome, while the results of the multivariate analysis showed that better performances can be obtained. In the HER2 + detection, the best performance (73% of accuracy and AUC = 0.77) was obtained using a linear regression model (LRM) with 12 features extracted by MLO view. In the HR + detection, the best performance (77% of accuracy and AUC = 0.80) was obtained using a LRM with 14 features extracted by MLO view. In grading classification, the best performance was obtained by a decision tree trained with three predictors extracted by MLO view reaching an accuracy of 82% on validation set. In the luminal versus non-luminal histotype classification, the best performance was obtained by a bagged tree trained with 15 predictors extracted by CC view reaching an accuracy of 94% on validation set. CONCLUSIONS: The results suggest that radiomics analysis can be effectively applied to design a tool to support physician decision making in breast cancer classification. In particular, the classification of luminal versus non-luminal histotypes can be performed with high accuracy.

Malignant meningioma mTOR mutated and precision medicine.

BACKGROUND: WHO grade II and III meningiomas are more invasive than grade I malignancies and determine patients' shorter overall survival. Their tendency to recur after treatment has represented an important therapeutic challenge because of the limited treatment strategies at recurrence. Angiogenesis and mechanistic target of rapamycin (mTOR) activation are two of the main features of higher grade meningiomas, determining invasiveness and tendency to relapse. While these options prove promising, available clinical data on mTOR inhibitors' efficacy are somewhat limited. CASE STUDY: We report a case of a 25-year-old female patient diagnosed with a right parasagittal occipital anaplastic meningioma (grade III WHO) in 2013. The patient underwent multiple treatments and, in 2019, a further recurrence occurred. The patient reported an mTOR mutation, and it is for this reason that the MTB approved treatment with everolimus and bevacizumab. Therapy was administered in May 2019, and partial response and prolonged disease control was obtained in November 2021, when progression took place. The patient's death occurred in March 2022. CONCLUSIONS: This case report provides evidence on the efficacy of mTOR inhibitors as a treatment option in recurrent meningiomas. Furthermore, it highlights the importance of performing a molecular analysis as a preliminary step towards targeting the mTOR pathway.

Radiomics and artificial intelligence analysis by T2-weighted imaging and dynamic contrast-enhanced magnetic resonance imaging to predict Breast Cancer Histological Outcome.

OBJECTIVE: The objective of the study was to evaluate the accuracy of radiomics features obtained by MR images to predict Breast Cancer Histological Outcome. METHODS: A total of 217 patients with malignant lesions were analysed underwent MRI examinations. Considering histological findings as the ground truth, four different types of findings were used in both univariate and multivariate analyses: (1) G1 + G2 vs G3 classification; (2) presence of human epidermal growth factor receptor 2 (HER2 + vs HER2 -); (3) presence of the hormone receptor (HR + vs HR -); and (4) presence of luminal subtypes of breast cancer. RESULTS: The best accuracy for discriminating HER2 + versus HER2 - breast cancers was obtained considering nine predictors by early phase T1-weighted subtraction images and a decision tree (accuracy of 88% on validation set). The best accuracy for discriminating HR + versus HR - breast cancers was obtained considering nine predictors by T2-weighted subtraction images and a decision tree (accuracy of 90% on validation set). The best accuracy for discriminating G1 + G2 versus G3 breast cancers was obtained considering 16 predictors by early phase T1-weighted subtraction images in a linear regression model with an accuracy of 75%. The best accuracy for discriminating luminal versus non-luminal breast cancers was obtained considering 27 predictors by early phase T1-weighted subtraction images and a decision tree (accuracy of 94% on validation set). CONCLUSIONS: The combination of radiomics analysis and artificial intelligence techniques could be used to support physician decision-making in prediction of Breast Cancer Histological Outcome.

Combi-TED: a new trial testing Tedopi® with docetaxel or nivolumab in metastatic non-small-cell lung cancer progressing after first line.

Despite the positive results obtained by first-line chemoimmunotherapy in patients with metastatic non-small-cell lung cancer (NSCLC), only a few second-line options are available after disease progression. Combi-TED is a phase II international study that will assess the efficacy of Tedopi®, a cancer vaccine, combined with either docetaxel or nivolumab and compared with docetaxel monotherapy in patients with metastatic NSCLC after chemoimmunotherapy. The study, currently in the recruitment phase, will assess 1-year overall survival (primary end point), patient's progression-free survival and overall response rate, as well as the correlation of efficacy with several tumor or blood biomarkers. The results will hopefully provide more information on Tedopi combinational treatment compared with current standard of care in NSCLC patients who fail first-line chemoimmunotherapy. Clinical Trial Registration: NCT04884282 (ClinicalTrials.gov).

Patients with lung cancer that has spread to other parts of the body are usually treated with a combination of chemotherapy and drugs that stimulate the immune system to kill cancer cells, which is referred to as immunotherapy. If after receiving these drugs the cancer still gets worse, patients have only a few treatment options left and are usually treated with chemotherapy only. Researchers will study if a new medicine called Tedopi^®, a vaccine that specifically attacks cancer cells, used together with chemotherapy or immunotherapy, will work better then chemotherapy alone for these patients. The study will monitor how long patients will live after treatment, for how long they will live without their disease getting worse and how many patients will improve after treatment. Moreover, researchers will study if patients present specific features, such as certain molecules in their tumor cells or blood cells, that may indicate that they respond better to certain treatments.

An approach to evaluate the quality of radiological reports in Head and Neck cancer loco-regional staging: experience of two Academic Hospitals.

OBJECTIVES: To evaluate the quality of the reports of loco-regional staging computed tomography (CT) or magnetic resonance imaging (MRI) in head and neck (H&N) cancer. METHODS: Consecutive reports of staging CT and MRI of all H&N cancer cases from 2018 to 2020 were collected. We created lists of quality indicators for tumor (T) for each district and for node (N). We marked these as 0 or 1 in the report calculating a report score (RS) and a maximum sum (MS) of each list. Two radiologists and two otolaryngologists in consensus classified reports as low quality (LQ) if the RS fell in the percentage range 0-59% of MS and as high quality (HQ) if it fell in the range 60-100%, annotating technique and district. We evaluated the distribution of reports in these categories. RESULTS: Two hundred thirty-seven reports (97 CT and 140 MRI) of 95 oral cavity, 52 laryngeal, 47 oropharyngeal, 19 hypo-pharyngeal, 14 parotid, and 10 nasopharyngeal cancers were included. Sixty-six percent of all the reports were LQ for T, 66% out of all the MRI reports, and 65% out of all CT reports were LQ. Eight-five percent of reports were HQ for N, 85% out of all the MRI reports, and 82% out of all CT reports were HQ. Reports of oral cavity, oro-nasopharynx, and parotid were LQ, respectively, in 76%, 73%, 100% and 92 out of cases. CONCLUSION: Reports of staging CT/MRI in H&N cancer were LQ for T description and HQ for N description.

Eribulin in brain metastases of breast cancer: outcomes of the EBRAIM prospective observational trial.

Background: Eribulin shows some activity in controlling brain metastasis in breast cancer. Methods: This observational, multicenter study evaluated brain disease control rates, survival and safety in patients with brain metastatic breast cancer treated with eribulin in clinical practice. Results: A total of 34 patients were enrolled (mean age 49 years, 91% with visceral metastases) and 29 were evaluable for brain disease. Fourteen achieved disease control and showed a longer time without progression: 10 months (95% CI: 2.3-17.7) versus 4 months (95% CI: 3.3-4.7) in the control group (p = 0.029). Patients with clinical benefits at 6 months had longer survival. Leukopenia and neutropenia were the most frequent grade 3-4 toxicities. Conclusion: Eribulin confirms its effectiveness in patients with brain metastatic breast cancer. Further studies on larger cohorts are needed to confirm the results.

Craniosynostosis-microphthalmia syndrome belongs to the spectrum of BCOR-related disorders.

Craniosynostosis-microphthalmia linked to BCOR haploinsufficiency.

A novel bayesian approach with conditional autoregressive specification for intravoxel incoherent motion diffusion-weighted MRI.

The Intra-Voxel Incoherent Motion (IVIM) model is largely adopted to estimate slow and fast diffusion coefficients of water molecules in biological tissues, which are used in cancer applications. The most reported fitting approach is a voxel-wise segmented non-linear least square, whereas Bayesian approaches with a direct fit, also considering spatial regularization, were proposed too. In this work a novel segmented Bayesian method was proposed, also in combination with a spatial regularization through a Conditional Autoregressive (CAR) prior specification. The two segmented Bayesian approaches, with and without CAR specification, were compared with two standard least-square and a direct Bayesian fitting methods. All approaches were tested on simulated images and real data of patients with head-and-neck and rectal cancer. Estimation accuracy and maps noisiness were quantified on simulated images, whereas the coefficient of variation and the goodness of fit were evaluated for real data. Both versions of the segmented Bayesian approach outperformed the standard methods on simulated images for pseudo-diffusion (D∗ ) and perfusion fraction (f), whilst the segmented least-square fitting remained the less biased for the diffusion coefficient (D). On real data, Bayesian approaches provided the less noisy maps, and the two Bayesian methods without CAR generally estimated lower values for f and D∗ coefficients with respect to the other approaches. The proposed segmented Bayesian approaches were superior, in terms of estimation accuracy and maps quality, to the direct Bayesian model and the least-square fittings. The CAR method improved the estimation accuracy, especially for D∗ .

Correction to: Phase II study of weekly carboplatin in pretreated adult malignant gliomas.

In the original article, the names of authors Mariantonia Carosi and Tatiana Koudriavtseva were incorrectly captured, and author Francesco Cognetti's affiliation was incorrect. The information is correctly shown here.

Phase II study of weekly carboplatin in pretreated adult malignant gliomas.

PURPOSE: Patients with relapse of recurrent glioma have a poor outcome and limited treatment options. The aim of this study is to investigate the clinical benefit and tolerability of weekly intravenous administration of carboplatin-based monotherapy in adult glioma patients who had progressed from previous chemotherapy lines based on temozolomide and nitrosoureas. METHODS: This was a single-arm, phase II study. Eligibility criteria included progressive or recurrent glioma after radiotherapy and chemotherapy-based treatments and Karnofsky performance status (KPS) > 60. RESULTS: Thirty-two patients (median age 43.5 years) were enrolled to receive weekly carboplatin monotherapy in an intravenous method of administration. The median duration of response was 7.3 months with an overall disease control rate of 31.3%. Median progression-free survival was 2.3 months while overall survival was 5.5 months. Pre-treatment with corticosteroids (i.e. dexamethasone) was associated to clinical benefit in 43.8% of patients. Patients achieving clinical benefit exhibited a longer progression-free survival (4.6 vs. 1.5 months; p > 0.001) and overall survival (7.9 vs. 3.2 months; p = 0.041) compared with those not achieving clinical benefit. CONCLUSIONS: Our findings show that single agent, weekly, intravenous administration of carboplatin may have a role in patients with recurrent glioma and suggest that pre-treatment with corticosteroids may confer survival benefit.

Comorbidities in elderly patients with glioblastoma: a field-practice study.

AIM: This single-center study evaluated the effect of comorbidities on progression-free and overall survival in elderly patients with glioblastoma multiforme (GBM). PATIENTS & METHODS: Comorbid conditions were identified in each patient with the modified version of the cumulative illness rating scale (CIRS). RESULTS:  Total of 118 patients with GBM were enrolled. An age of >75 years at diagnosis, high CIRS, comorbidity index and performance status play a predictive role on survival. CONCLUSION: Comorbidities play an important prognostic role in elderly patients with GBM, a factor too often neglected in clinical practice. If the prognostic role of comorbidity measured by CIRS on outcome will be confirmed, it would be interesting to add it in the algorithm for treatment choice in elderly GBM patients.

A multicenter real-world study of bevacizumab in heavily pretreated malignant gliomas: clinical benefit is a plausible end point?

Aim: This multicenter, retrospective study evaluates the clinical benefit (CB) of bevacizumab, alone or in combination, in recurrent gliomas (RG). Patients & methods: The CB was measured as a reduction of corticosteroid dosage and an improvement ≥20 points in the Karnofsky Performance Status lasting ≥3 months. Results: We collected data of 197 RG patients. A CB was observed in 120, patients without significant differences between patients treated with bevacizumab alone or in combination. The rate of patients who achieved a CB and free from progression at 1 year was 21.5 versus 1.4% in patients who did not report CB. Conclusion: The majority of RG patients treated with bevacizumab reported CB. Moreover, patients with CB showed improved survival.

Cervical lymphadenopathy: can the histogram analysis of apparent diffusion coefficient help to differentiate between lymphoma and squamous cell carcinoma in patients with unknown clinical primary tumor?

PURPOSE: To retrospectively evaluate the value of whole-lesion histogram analysis of apparent diffusion coefficient (ADC) maps in differentiating between lymphoma and metastatic squamous cell carcinoma (SCC) of unknown clinical primary in neck nodes. METHODS: A total of 39 patients, 20 affected by lymphoma and 19 affected by metastatic non-nasopharyngeal SCC, were included in this retrospective study. All patients underwent MR imaging with a 1.5 T scanner system, including diffusion-weighted imaging (DWI) with three different b values (b = 0, 500 and 800 s/mm2). The entire tumor volume was manually delineated on the ADC maps, using the T2-weighted images and DWIs with b = 800 s/mm2 as a guide to the lesion location. The Mann-Whitney rank-sum test for independent samples was performed to compare the histogram parameters of patients with lymphoma and SCC. RESULTS: The SCCs showed significantly higher median ADC (ADCmedian) and mean ADC (ADCmean) values, compared to lymphomas (p < 0.001), while they exhibited lower kurtosis and skewness without reaching significance (p = 0.066 and 0.148, respectively). The ADCmean and ADCmedian had the best discriminative powers for differentiating lymphoma and SCC, with an area under the curve of 87% and 85%, respectively. The optimal cutoff values for ADCmean and ADCmedian as predictors for lymphoma were ≤ 0.83 × 10-3 mm2/s and ≤ 0.73 × 10-3 mm2/s, respectively. CONCLUSIONS: The whole-lesion ADC histogram analysis of cervical lymphadenopathy may help to discriminate lymphomas from non-nasopharyngeal SCC in patients with unknown clinical primary tumor.

Activity of Eribulin Mesylate in Brain Metastasis from Breast Cancer: A Stone in a Pond?

BACKGROUND: Brain metastases develop in approximately 10-25% of patients with metastatic breast cancer (MBC) and are associated with a very poor prognosis. CASE REPORT: We report the case of a 40-year-old woman with MBC and associated lung, bone, liver, and brain metastases, who experienced a time to progression of several months with eribulin after whole-brain radiotherapy (WBRT), 2 lines of chemotherapy, and 1 line of hormonal therapy, maintaining a good toxicity profile. DISCUSSION: Eribulin, in association with local treatment such as WBRT, can be well tolerated and effective in achieving a long progression-free survival and a good control of brain metastases in patients with MBC who have received multiple lines of treatment. The vascular remodeling properties of eribulin, combined with brain radiotherapy, might facilitate the passage of eribulin across the blood brain barrier, improving brain response. CONCLUSION: Our anecdotal experience suggests that eribulin may have a potentially beneficial effect on brain metastases while maintaining a good systemic control of the disease in patients with MBC.

A predictive value of von Willebrand factor for early response to Bevacizumab therapy in recurrent glioma.

Bevacizumab (BV), a neutralizing monoclonal antibody against the vascular endothelial growth factor ligand, is recognized as a potent anti-angiogenic agent with antitumor activity. The aim of this single-center, retrospective, longitudinal study was to investigate the possible predictive value of baseline demographic, clinical and laboratory parameters for early 3-month response to BV therapy in patients with recurrent glioma. Forty-nine patients with recurrent glioma received BV at 10 mg/kg intravenously every 3 weeks alone or in association with chemotherapy were included in this study. Blood samples were collected from all patients before the first (baseline), the second and the third administration of BV. After 3 months of BV therapy, patients with partial response were defined as responders whereas patients with stable or progressive disease were defined as non-responders. The median overall follow-up was 8 months (range 1-73), the median overall survival (OS) was 8 months (95% CI 6-10) and the median progression free survival (PFS) was 4 months (95% CI 3-5). Thirty-five % of patients were responders and showed significantly lower von Willebrand factor (VWF) levels than non-responders at all sample times (p < .02 for all). Also, on multivariate analysis the baseline VWF value was the only predictor for an early response to BV therapy. Furthermore, D-dimer and prothrombin fragment 1+2 were predictive factors for OS while Karnofsky performance status resulted predictive for PFS. VWF antigen value is a possible predictive biomarker for an early 3-month response to BV therapy in recurrent glioma.

Overexpression of syndecan-1, MUC-1, and putative stem cell markers in breast cancer leptomeningeal metastasis: a cerebrospinal fluid flow cytometry study.

BACKGROUND: Cancer is a mosaic of tumor cell subpopulations, where only a minority is responsible for disease recurrence and cancer invasiveness. We focused on one of the most aggressive circulating tumor cells (CTCs) which, from the primitive tumor, spreads to the central nervous system (CNS), evaluating the expression of prognostic and putative cancer stem cell markers in breast cancer (BC) leptomeningeal metastasis (LM). METHODS: Flow cytometry immunophenotypic analysis of cerebrospinal fluid (CSF) samples (4.5 ml) was performed in 13 consecutive cases of BCLM. Syndecan-1 (CD138), MUC-1 (CD227) CD45, CD34, and the putative cancer stem cell markers CD15, CD24, CD44, and CD133 surface expression were evaluated on CSF floating tumor cells. The tumor-associated leukocyte population was also characterized. RESULTS: Despite a low absolute cell number (8 cell/µl, range 1-86), the flow cytometry characterization was successfully conducted in all the samples. Syndecan-1 and MUC-1 overexpression was documented on BC cells in all the samples analyzed; CD44, CD24, CD15, and CD133 in 77%, 75%, 70%, and 45% of cases, respectively. A strong syndecan-1 and MUC-1 expression was also documented by immunohistochemistry on primary breast cancer tissues, performed in four patients. The CSF tumor population was flanked by T lymphocytes, with a different immunophenotype between the CSF and peripheral blood samples (P ≤ 0.02). CONCLUSIONS: Flow cytometry can be successfully employed for solid tumor LM characterization even in CSF samples with low cell count. This in vivo study documents that CSF floating BC cells overexpress prognostic and putative cancer stem cell biomarkers related to tumor invasiveness, potentially representing a molecular target for circulating tumor cell detection and LM treatment monitoring, as well as a primary target for innovative treatment strategies. The T lymphocyte infiltration, documented in all CSF samples, suggests a possible involvement of the CNS lymphatic system in both lymphoid and cancer cell migration into and out of the meninges, supporting the extension of a new form of cellular immunotherapy to LM. Due to the small number of cases, validation on large cohorts of patients are warranted to confirm these findings and to evaluate the impact and value of these results for diagnosis and management of LM.

Quality of life, mood and seizure control in patients with brain tumor related epilepsy treated with lacosamide as add-on therapy: A prospective explorative study with a historical control group.

OBJECTIVE: Brain tumor-related epilepsy (BTRE) is often drug resistant and patients can be forced to take polytherapy that can adversely affect their quality of life (QoL). Lacosamide (LCM) is a new antiepileptic drug (AED) used as adjunctive therapy in patients with partial seizures with or without secondary generalization, with a favorable pharmacokinetic profile that seems to be effective and well tolerated. Therefore it represents a possible therapeutic choice for patients with BTRE. We propose a prospective study with a historical control group to evaluate the effect of LCM as add-on therapy on seizure control and quality of life in patients with BTRE. This study has been designed to test the superiority of Lacosamide over Levetiracetam as an add-on. We compared a prospective cohort of 25 patients treated with Lacosamide with a historical control group (n=19) treated with Levetiracetam as an add-on. METHODS: We recruited 25 adult patients (M 18, F 7; mean age 41.9) affected by BTRE with uncontrolled partial-onset seizures treated with AED polytherapy. We added LCM as an add-on. Patients were evaluated at baseline, after 3months and at 6months. This population has been compared with a historical control group of 19 BTRE adult patients (M 13, F 6; median age 48.0, range: 28-70) with uncontrolled partial-onset seizures treated with LEV as add-on. The patients underwent QoL, mood and adverse events tests (Adverse Event Profile-AEP) and evaluation of seizure frequency. RESULTS: Twelve patients had high grade gliomas, and thirteen had low grade gliomas. During follow-up, thirteen patients underwent chemotherapy, three radiotherapy and five patients had disease progression. Nine patients had simple partial seizures, eight had complex partial seizures, and eight had secondary generalized seizures. Fifteen patients were in monotherapy and ten in polytherapy with AEDs. LCM was added up to reach the maximum dosage of 400mg/die (mean final dose 300mg/die). Four patients dropped out due to poor compliance and 1 for inefficacy. In the historical control group treated with LEV (mean final dose 2000mg/die) 12 patients had high-grade gliomas, and 7 had low grade gliomas. Thirteen patients were in monotherapy and 6 in polytherapy with AEDs. In the 22 patients evaluable of 25 patients treated with LCM, we observed at final follow-up 7 patients seizure free, 12 with a significant reduction of seizures≥50%, 2 stable and 1 patient with number of seizures increased. Mean seizure frequency at baseline compared with baseline period: the mean number of seizures significantly decreased from baseline (9.4) to final follow-up (1.2) (P=0.005). The Responder Rate was 86.4%. Comparing responder rate of 22 evaluable patients with LCM with responder rate of 19 patients with LEV we didn't observe significant differences (p=0.31). In our patients treated with LCM we didn't observe significant difference at 3 and 6months in QoL tests results; we observe a significant reduction in the mean score of Karnofsky Performance Status (KPS) and Barthel Index (BI) between baseline and 6months of follow-up (KPS p=0.003; BI p=0.007). No clinical side effects were observed. CONCLUSION: Comparing the LCM with the historical group treated with LEV in add-on, we observed that LCM seems to have a higher clinical efficacy than LEV. In our patients, we did not observe any significant changes in QoL tests, indicating stability in all quality of life domains explored, despite the objective worsening in their functional status. Although this is a small series with a relatively short follow-up, our data indicates that LCM in add-on in patients with BTRE appears to be as effective as LEV in add-on, without impact on mood and quality of life.

Feasibility study of reduced field of view diffusion-weighted magnetic resonance imaging in head and neck tumors.

Background Reduced field of view (rFOV) imaging may be used to improve the quality of diffusion-weighted imaging (DWI) in the head and neck (HN) region. Purpose To evaluate the feasibility of rFOV-DWI in patients affected by HN tumors, through a comparison with conventional full FOV (fFOV) DWI. Material and Methods Twenty-two patients with histologically-proven malignant or benign tumors of the head and neck were included in a retrospective study. All patients underwent pre-treatment magnetic resonance imaging (MRI) studies including rFOV-DWI and fFOV-DWI. The apparent diffusion coefficient (ADC) value distributions inside tumor and muscle were derived and the mean, standard deviation (SD), and kurtosis were calculated. Image distortion was quantitatively and qualitatively evaluated, as well as the capability of lesion identification. The Wilcoxon test was used to compare all variables. Agreements between the ADC estimations were assessed by Bland-Altman plots. Results Image distortion and lesion identification scores were both higher for rFOV-DWI compared to fFOV-DWI. A reduction in ADC values with rFOV-DWI emerged for both lesion and muscle, with a mean percentage difference in ADC of 6.2% in the lesions and 24.9% in the muscle. The difference in SD of ADC was statistically significant in the lesions, indicating a higher ADC homogeneity for rFOV DWI ( P = 0.005). Conclusion The application of rFOV DWI in patients affected by HN tumors is feasible and promising, based on both qualitative and quantitative analyses. This technique has potential for improving the diagnostic accuracy of fFOV-DWI for the study of specific tumoral areas.

Early radiation-induced changes evaluated by intravoxel incoherent motion in the major salivary glands.

PURPOSE: To investigate the potential of intravoxel incoherent motion (IVIM) MRI for early evaluation of irradiated major salivary glands. MATERIALS AND METHODS: Thirty-four patients with head-neck cancer were included in a prospective study. All patients underwent three serial IVIM-MRI: before, half-way through, and at the end of radiotherapy (RT). Apparent diffusion coefficient (ADC), ADClow derived in the low b-value range, perfusion fraction f, and pure diffusion coefficient D were estimated. Pretreatment values and early changes of diffusion parameters were correlated with parotid mean dose (Dmean ) and volume reduction after RT. RESULTS: Changes in diffusion parameters over time were all significant (P < 0.001 for ADC, ADClow , and D, P = 0.003 for f). Variations of ADC, ADClow , and f were not correlated with Dmean (P = 0.089, P = 0.252 and P = 0.884, respectively), whereas a significant relationship was found between changes in D and Dmean (r = 0.197 with CI95% = 0.004-0.375, P = 0.046). Pretreatment f and Dmean were the best independent predictors for the percentage shrinkage (P = 0.0003 and 0.0597 respectively; R(2) = 0.391). CONCLUSION: Early changes of irradiated major salivary glands can be noninvasively evaluated by IVIM-MRI. Perfusion-related coefficients in conjunction with dosimetric information increase our capability to predict the change in parotid volume and hence, if further validated, guide treatment strategy in RT.

Early biomarkers from dynamic contrast-enhanced magnetic resonance imaging to predict the response to antiangiogenic therapy in high-grade gliomas.

INTRODUCTION: The aim of this study is to investigate whether early changes in tumor volume and perfusion measurements derived from dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) may predict response to antiangiogenic therapy in recurrent high-grade gliomas. METHODS: Twenty-seven patients who received bevacizumab every 3 weeks were enrolled in the study. For each patient, three MRI scans were performed: at baseline, after the first dose, and after the fourth dose of bevacizumab. The entire tumor volume (V(tot)), as well as contrast-enhanced and noncontrast-enhanced tumor subvolumes (V(CE-T1) and V(NON-CE-T1), respectively) were outlined using post-contrast T1-weighted images as a guide for the tumor location. Histogram analysis of normalized IAUGC (nIAUGC) and transfer constant K(trans) maps were performed. Each patient was classified as a responder patient if he/she had a partial response or a stable disease or as a nonresponder patient if he/she had progressive disease. RESULTS: Responding patients showed a larger reduction in V(NON-CE-T1) after a single dose, compared to nonresponding patients. Tumor subvolumes with increased values of nIAUGC and K(trans), after a single dose, significantly differed between responders and nonresponders. The radiological response was found to be significantly associated to the clinical outcome. After a single dose, V(tot) was predictive of overall survival (OS), while V(CE-T1) showed a tendency of correlation with OS. CONCLUSION: Tumor subvolumes with increased nIAUGC and K(trans) showed the potential for improving the diagnostic accuracy of DCE. Early assessments of the entire tumor volume, including necrotic areas, may provide complementary information of tumor behavior in response to anti-VEGF therapies and is worth further investigation.