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Early detection of cereberal venous sinus thrombosis is important to prevent complication. Here we present an interstecting case of tumor thrombsosis of the superior sagittal venous sinus in a follow up case of adenocarcinoma esophagus, highlighting the feasibility for FDG PET venography for detection of the same.
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Background and Aim Prior knowledge of axillary node status can spare a lot of patients with early breast cancer morbidity due to an unnecessary axillary dissection. Our study compared various metabolic and pathological features that can predict the sentinel lymph node biopsy (SLNB) status in patients with positron emission tomography/computed tomography (PET/CT) negative axilla. Patients and Methods All consecutive patients with early breast cancers (< 5 cm) with PET/CT negative axilla who underwent breast surgery and SLNB from November 2016 to February 2020 were included. Various primary tumor (PT) pathological variables and metabolic variables on PET/CT such as maximum standardized uptake value (PT-SUV max ), metabolic tumor volume (PT-MTV), and total lesion glycolysis (PT-TLG) were compared using univariate and multivariate analyses for prediction of SLNB status. Results Overall 70 patients, all female, with mean age 55.6 years (range: 33-77) and mean tumor size 2.2 cm (range: 0.7-4.5), were included. SLNB was positive in 20% of patients ( n = 14) with nonsentinel nodes positive in 4% ( n = 3) patients. Comparing SLNB positive and negative groups, univariate analysis showed significant association of SLNB with low tumor grade, positive lymphovascular invasion (LVI), positive estrogen receptor (ER) status with lower mean K i -67 index (34.41 vs. 52.02%; p = 0.02), PT-SUV max (5.40 vs. 8.68; p = 0.036), PT-MTV (4.71 cc vs. 7.46 cc; p = 0.05), and PT-TLG (15.12 g/mL.cc vs. 37.10 g/mL.cc; p = 0.006). On multivariate analysis, only LVI status was a significant independent predictor of SLNB status (odds ratio = 6.23; 95% confidence interval: 1.15-33.6; p = 0.033). Conclusion SLNB is positive in approximately 20% of early breast cancers with PET/CT negative axilla and SLNB status appears to be independent of PT size. SLNB+ PTs were more likely to be LVI+ and ER + ve, with lower grade/K i -67/metabolic activity (SUV max /MTV/TLG) compared with SLNB-ve tumors. Logistic regression analysis revealed LVI status as the only significant independent predictor of sentinel lymph node status.
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BACKGROUND: Gallium-68-prostate-specific membrane antigen (68Ga-PSMA) positron emission tomography/computed tomography (PET/CT) has recently been shown to be very high accuracy in biopsy-naïve prostate cancer (PCa) detection and can potentially improve the low specificity noted with diffusion-weighted magnetic resonance imaging (DW-MRI), especially in instances of prostate inflammation. We aimed to compare the diagnostic accuracy of DW-MRI and PSMA PET/CT using apparent diffusion coefficient (ADC) and maximum standardized uptake (SUVmax) values in the diagnosis of PCa. PATIENTS AND METHODS: A retrospective study comparing and analyzing the diagnostic accuracy of prebiopsy DW-MRI and 68Ga-PSMA PET/CTs done in patients with suspected PCa (raised prostate specific antigen [PSA] and/or positive digital rectal examination) from January 2019 to December 2020. The standard of reference was transrectal ultrasound-guided biopsies. RESULTS: Sixty-seven patients were included in the study, mean age: 70 years (range 49-84), mean PSA: 23.2 ng/ml (range 2.97-45.6). Biopsy was positive for PCa in 56% (n = 38) and negative in 43% (n = 29). Of the benign results, benign hyperplasia was noted in 75% (n = 22) and prostatitis in 25% (n = 7). Of the PCa, 55% (n = 21) of were high International Society of Urological Pathology (ISUP) grade (4-5) and 45% (n = 17) low/intermediate ISUP grade (1-3). Overall the sensitivity/specificity/Accuracy for prediction of PCa of MRI using prostate imaging and reporting data system version 2 criteria and PSMA PET/CT using PCa molecular imaging standardized evaluation criteria was 92.1%/65.5%/80.5% and 76.3%/96.5%/85.1% respectively. Mean apparent diffusion co-efficient (mean ADC) value of benign lesions and PCa was 1.135 × 10-3 mm2/s and 0.723 × 10-3 mm2/s, respectively (P = 0.00001). Mean SUVmax and ADC of benign and PCa lesions was 4.01 and 16.4 (P = 0.000246). Mean SUVmax/ADC ratio of benign and malignant lesions was 3.8 × 103 versus 25.21 × 103 (P < 0.000026). Inverse correlation was noted between ADC and SUVmax values (R = -0.609), inverse correlation noted between ADC and Gleason's score (R = -0.198), and positive correlation of SUVmax and SUVmax/ADC with Gleason's score (R = 0.438 and R = 0.448). Receiver operating characteristic curve analysis revealed a SUVmax cutoff 6.03 (sensitivity/specificity - 76%/90%, area under the curve (AUC) - 0.935, Youden index (YI) - 0.66), ADC cutoff of 0.817 × 10-3 mm2/s (sensitivity/specificity - 79%/86%, AUC - 0.890, YI - 0.65), and SUVmax/ADC ratio cutoff of 7.43 × 103 (sensitivity/specificity - 87%/98%, AUC - 0.966, YI - 0.85) for PCa diagnosis. CONCLUSION: For diagnosis of biopsy-naïve PCas, the combination of diffusion-weighted MRI and PSMA PET/CT (i.e., SUVmax/ADC ratio) shows better diagnostic accuracy than either used alone and the combination of PET and MRI is especially useful when distinguishing cancer from prostatitis.
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BACKGROUND AND AIM: Serum prostate-specific-antigen (PSA) guided systematic transrectal ultrasound (TRUS)-guided biopsies are known to have a low predictive value in detection of primary prostate carcinomas (PCa). Our aim was to evaluate the accuracy of gallium-68 (Ga-68) prostate-specific membrane antigen positron emission tomography/computed tomography (PSMA PET/CT) for the detection of PCa with serum PSA <50 ng/ml. PATIENTS AND METHODS: We retrospective analyzed prebiopsy Ga-68 PSMA PET/CT's of all patients with suspected PCa from October 2019 to March 2020. Several quantitative clinical and PET/CT variables were compared in benign and malignant groups and assessed for significance using an independent t-test. Diagnostic performance of PSMA PET/CT for detection of cancer was evaluated and compared with the diagnostic performance of cancer risk predicting calculator (European Randomized Study for Screening of Prostate Cancer [ERSPC3]). The standard of reference was 12-core TRUS-guided biopsies. RESULTS: Sixty-four patients were included with mean age 70 years (range 48-94 years); mean PSA 15.67 ng/ml (range 1.74-44), mean PSA density 0.32 ng/ml2 (range 0.01-0.99) and mean prostate volume 54.55 cc (range 16.5-182). 64% (n = 41/64) patients had benign histology and 36% (n = 23/64) had carcinoma. Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of PSMA PET/CT for detecting PCa reported using the prostate cancer molecular imaging standardized evaluation (PROMISE) was 74%, 92%, 85%, 86%, and 86%, respectively. Mean prostate maximum standardized uptake value (SUVmax) was significantly higher in PCa versus Benign lesions (19.56 ± 18.11 vs. 4.21 ± 1.5, P = 0.00001), in patients with PSA >20 ng/ml versus PSA <20 ng/ml (19.1 ± 20.6 vs. 6.01 ± 5.4, P-0.0052), and in patients with Gleason's score (GS) score >7 versus GS ≤7 (28.1 ± 20.3 vs. 10.2 ± 8.9, P-0.010). SUVmax cutoff value of 5.6 on PSMA PET/CT showed a sensitivity of 95% and specificity of 90.9% (area under the curve 0.990, P < 0.0001). CONCLUSION: Ga-68 PSMA PET/CT can differentiate benign and malignant lesions of the prostate with very high accuracy and when used alongside with ERSPC3 calculator and magnetic resonance imaging, could potentially reduce painful and often unnecessary prostate biopsies.
